SRE Jobs in Boston.
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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the role
As part of Enterprise Engineering, the Workday Recruiting/Talent Acquisition Engineer sets the bar for technical excellence and innovation across our Talent Acquisition platform—driving configuration strategy, automation, integration optimization, and continuous validation at scale. You'll bring deep Workday Recruiting and ATS functional knowledge, combined with strong engineering capabilities, applying technical rigor to the configuration, data management, and testing of an enterprise-grade recruiting system in a fast-paced, high-volume hiring environment.
Scope includes Workday Recruiting, Advanced Recruiting, Candidate Experience (Career Site), ATS Tech Stack (HiredScore, Paradox, iCIMS integration), Talent Acquisition processes, Onboarding, and recruiting analytics/reporting. You'll build robust, scalable automated solutions and manage the quality lifecycle in our Workday Recruiting ecosystem, ensuring compliance, data integrity, candidate experience excellence, and recruitment efficiency requirements for a rapidly growing company.
For Massachusetts Only - The estimated annual salary for this position is between $132,600 - $191,250 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What you'll be doing
- Design and own the end-to-end Workday Recruiting configuration and integration strategy for Recruiting, Advanced Recruiting, Career Site, ATS integrations (HiredScore, Paradox), Onboarding, and Talent Acquisition workflows—balancing technical excellence with speed to delivery and optimal candidate experience.
- Build, maintain, and scale Workday Recruiting configurations, including job requisition templates, candidate pipelines, offer management, background check integrations, recruiting events, interview scheduling, and agency portal functionality; ensure seamless data flow across systems.
- Design and implement comprehensive automated test coverage for recruiting processes using Tricentis Tosca or similar tools; manage test execution and traceability in qTest; integrate results into CI/CD pipelines for continuous quality validation.
- Create reusable configuration frameworks and templates (job req templates, screening questions, candidate evaluation forms, offer letter templates, recruiting business process steps) that standardize processes, reduce configuration time, and improve system reliability.
- Drive API-level and end-to-end integration testing across the Talent Acquisition ecosystem (e.g., requisition creation to hire, candidate sourcing, screening workflows, offer approval, background checks, I-9 verification, onboarding handoff to HCM), including third-party vendor integrations and Workday web services.
- Validate Workday Recruiting Extend apps, custom objects, and advanced configurations to ensure functional correctness, security, accessibility, compliance (OFCCP, EEOC), and performance under high-volume recruiting loads.
- Establish recruiting-specific quality metrics, dashboards, and reporting (including time-to-fill, candidate conversion rates, system uptime, integration success rates, configuration coverage, defect density) that enable data-driven decision-making and continuous improvement.
- Champion candidate experience excellence: partner with Recruiting, Employer Branding, and TA Operations teams to optimize career site performance, mobile responsiveness, application completion rates, and candidate communication workflows.
- Lead technical design reviews and configuration governance for recruiting process changes, partner with Workday Recruiting Consultants, Integration Engineers, and HRIS teams on design patterns and apply configuration best practices to recruiting assets.
- Drive root cause analysis and systemic improvements across recruiting data quality, process bottlenecks, integration failures, and user experience issues; continuously optimize configuration efficiency and recruiting operations effectiveness.
- Collaborate closely with Talent Acquisition, Recruiting Operations, HR Technology, Compliance, DEI, People Analytics, and vendor partners (HiredScore, Paradox, background check providers) to align technical solutions with business priorities, hiring goals, and regulatory requirements.
- Manage Workday Recruiting roadmap alignment with bi-annual releases and feature updates; evaluate new Recruiting functionality, lead pilot programs, and drive adoption of innovations that enhance recruiter productivity and candidate experience.
We're excited if you have
- 6+ years with SaaS/Cloud HR technology and significant hands-on Workday Recruiting experience across requisition management, candidate management, offer management, career site configuration, recruiting analytics, and ATS integrations.
- Deep functional expertise in Talent Acquisition processes, including high-volume recruiting, executive search, agency management, candidate sourcing, interview management, offer workflows, background checks, and onboarding transitions.
- Strong technical skills in Workday Recruiting configuration, Calculated Fields, Workday Studio, or EIB for data management, integration troubleshooting (Web Services, RaaS reports), and understanding of API-based recruiting technology ecosystems.
- Experience with recruiting automation tools such as HiredScore, Paradox (conversational AI), scheduling tools, CRM platforms, and modern ATS integrations.
- Test automation and quality engineering experience with tools like Tricentis Tosca, Selenium, or similar; ability to design and maintain automated regression suites for recruiting workflows.
- Data-driven mindset with experience building recruiting analytics, dashboards (Workday Reports, Prism), and using data to optimize funnel conversion, process efficiency, and candidate experience.
- Understanding of recruiting compliance requirements, including OFCCP, EEOC, GDPR, accessibility standards (WCAG), and ability to configure systems to meet regulatory obligations.
- Strong stakeholder management and communication skills; ability to translate complex technical concepts for recruiting leaders and translate business requirements into technical solutions.
- Experience managing or contributing to enterprise-scale Workday implementations or transformations; familiarity with Agile/Scrum methodologies and DevOps practices.
- Passion for candidate experience and recruiting innovation; stays current on recruiting technology trends, AI/ML applications in talent acquisition, and Workday Recruiting product roadmap.
#LI-SR2
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
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Senior Manager, Engineering
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With 1,000+ intelligence professionals serving over 1,900 clients worldwide, Recorded Future is the world’s most advanced, and largest, intelligence company!
Recorded Future is seeking an experienced Senior Engineering Manager to lead a diverse team of engineers building one of the world’s most comprehensive global internet scanning platforms. As a Senior Engineering Manager, you will oversee multiple established teams and functions, including:
- Scan Engine Development – Our proprietary network scanning engine that operates on a global scale to collect intelligence insights from everything on the internet, supported by a cross-functional team of software engineers and operations specialists
- Vulnerability and Signature Research – Our team of vulnerability researchers working in coordination with internal intelligence functions to develop unique detections and signatures that power the scan engine
- Scan Operations and Site Reliability – Our team responsible for the operational health, scale, and reliability of the platform, ensuring intelligence is generated and delivered continuously to support teams and clients across the organization
What You'll Do:
- Team Leadership: Lead and mentor a multi-disciplinary team of vulnerability researchers, scan operations engineers, and software engineers across multiple geographies, fostering a collaborative, high-performing, and inclusive environment. Provide technical leadership by guiding development efforts, setting direction, and coaching engineers to grow their careers while maintaining a high engineering bar.
- Cross-Team Coordination: Partner closely with engineering leadership, product managers, and stakeholders across the broader organization — including teams from recently integrated business units — to align on scope, timelines, and solution designs that serve the full breadth of Recorded Future’s needs. Effectively communicate and advocate technical solutions to product, engineering, and business audiences.
- Engineering Excellence: Drive the continuous improvement of engineering practices, processes, and tools to increase efficiency and product quality. Ensure teams design, develop, and deploy features with a focus on high availability, quality, low latency, and scalability.
- Project Management: Oversee the planning, execution, and delivery of product features and updates, ensuring alignment with company goals and timelines.
- Agile Practices: Implement and maintain agile methodologies for project tracking and documentation.
- AI-First Development: Champion an AI-first engineering culture across your teams, encouraging the adoption of AI tools, workflows, and practices in day-to-day development. You should be comfortable guiding your team in its application and aligned with Recorded Future’s broader commitment to AI-driven engineering.
What You'll Bring:
- At least 10 years of experience in software engineering, ideally in an Enterprise SaaS product.
- At least 4 years in a management or leadership role, ideally overseeing multiple functions with remote teams in different timezones.
- Meaningful hands-on software engineering experience, ideally including familiarity with languages such as Python, Go, or C. You don’t need to be actively coding day-to-day, but you should be able to engage credibly with engineers on technical decisions and hold the team to a high engineering bar.
- Background in or strong familiarity with low-level, network-heavy applications with a focus on high-volume traffic, availability, and global scale is highly desirable, despite this role being primarily managerial.
- Familiarity with key technologies such as message busses/queues (Kafka, Rabbit, etc.), containerization (Docker, Kubernetes, etc.)
- Extensive familiarity with the TCP/IP protocol stack, including application of concepts from DNS, WHOIS, and other artifacts needed for technical reconnaissance and discovery
- Comfort with AI development concepts and a genuine enthusiasm for guiding teams to incorporate AI into their workflows and understanding its practical applications in software development
- Experience in technical leadership such as leading project teams' development efforts and setting technical direction
- A passion for coaching others to grow their technology career and sharing good practices with more junior engineers
- Excellent verbal and written communication skills
- Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering, or equivalent education/work experience
Preferred Qualifications:
- Any familiarity with cybersecurity principles and the unique challenges of developing cybersecurity products
- Any familiarity with things like port scanning, vulnerability scanning, or signature development
- Any familiarity with enterprise security products related to Recorded Future’s offerings
The base salary range for this full-time position is $199,000-$278,000. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.
#LI-Remote
Why should you join Recorded Future?
Recorded Future employees (or “Futurists”), represent over 40 nationalities and embody our core values of having high standards, practicing inclusion, and acting ethically. Our dedication to empowering clients with intelligence to disrupt adversaries has earned us a 4.6-star user rating on G2 and more than 50% of Fortune 100 companies as customers.
Want more info?
Blog & Podcast: Learn everything you want to know (and maybe some things you’d rather not know) about the world of cyber threat intelligence
Linkedin, Instagram & Twitter: What’s happening at Recorded Future
The Record: The Record is a cybersecurity news publication that explores the untold stories in this rapidly changing field
Timeline: History of Recorded Future
Recognition: Check out our awards and announcements
We are committed to maintaining an environment that attracts and retains talent from a diverse range of experiences, backgrounds and lifestyles. By ensuring all feel included and respected for being unique and bringing their whole selves to work, Recorded Future is made a better place every day.
If you need any accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to our recruiting team at careers@recordedfuture.com
Recorded Future is an equal opportunity and affirmative action employer and we encourage candidates from all backgrounds to apply. Recorded Future does not discriminate based on race, religion, color, national origin, gender including pregnancy, sexual orientation, gender identity, age, marital status, veteran status, disability or any other characteristic protected by law.
Recorded Future will not discharge, discipline or in any other manner discriminate against any employee or applicant for employment because such employee or applicant has inquired about, discussed, or disclosed the compensation of the employee or applicant or another employee or applicant.
Recorded Future does not administer a lie detector test as a condition of employment or continued employment. This is in compliance with the law of the Commonwealth of Massachusetts, and in alignment with our hiring practices across all jurisdictions.
Recorded Future maintains a drug-free workplace.
Note: Our interview process for all final-round candidates requires a mandatory in-person interview or a live, scheduled video conference with the hiring manager. We do not conduct interviews via instant messaging or text. All communications during the application process will come from individuals within our HR department via their Recorded Future email address.
Notice to Agency and Search Firm Representatives: Recorded Future will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Recorded Future, including those sent to our employees or through our website, will become the property of Recorded Future. Recorded Future will not be liable for any fees related to unsolicited resumes.
Agencies must have a valid written agreement in place with Recorded Future's recruitment team and must receive written authorization before submitting resumes. Submissions made without such agreements and authorization will not be accepted and no fees will be paid.
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At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Senior Software Engineer, Recommendations
Boston, MA (Hybrid)
What you'll do
As the Senior Software Engineer for Product Recommendations, you will be a key contributor in building the machine learning–powered systems that decide which products to show to whom and when across all channels powered by our platform. This hands-on backend role focuses on converting billions of behavioral events into personalized product recommendations that drive revenue for merchants. You will define technical direction, build, and operate services and data pipelines end to end, from data ingestion and feature generation to ranking models and APIs.
- Lead the design, architecture, and operation of backend services that power product recommendations across Klaviyo experiences (email, SMS, KAgent, onsite, etc.), upholding standards for reliability, performance, and clear APIs.
- Architect and maintain robust, large-scale data processing pipelines (e.g., using Apache Spark or similar frameworks) that transform raw events and catalog data into high-quality features and inputs for recommendation models, ensuring data quality and lineage.
- Collaborate closely with ML engineers and product stakeholders to strategically productionize recommendation models—defining high-level interfaces, robust feature contracts, and advanced deployment patterns for batch and/or real-time inference systems.
- Drive the development of ML/AI systems such as vector search that power recommendation, semantic search, and sophisticated agentic use cases.
- Implement and evolve data and service observability (metrics, logging, tracing, dashboards) to proactively ensure recommendations are correct, fast, and highly available for all customers.
- Contribute to and mentor others on shared data frameworks, libraries, and architectural patterns to accelerate the development of new recommendation use cases and iteration velocity across the team.
- Work with Product to break down projects into clear milestones, balancing the need for rapid experimentation with technical soundness and long-term maintainability.
- Lead data-driven decision making and A/B testing efforts—ensuring recommendation systems are instrumented with the right metrics, and independently interpreting results to guide future product and engineering iterations.
- Participate in on-call and incident response for the systems you own, driving major post-incident follow-ups that substantially improve the resilience and operability of our recommendation stack.
- Champion and drive the transformation of engineering workflows by integrating AI from the ground up—for example, using AI to accelerate development, automate complex tests, or build smarter monitoring and debugging tools.
- Share knowledge, mentor junior/mid-level engineers, and define best practices on working with large-scale data frameworks, distributed systems, and integrating ML into production systems.
Who you are
- 5+ years of software engineering experience, with experience building and operating mission-critical backend services and systems in a production environment.
- Experience in backend and distributed systems at scale; you have a proven track record working on high-throughput, highly available services and are an skilled in optimizing for latency, reliability, and operability.
- Proficient in Python and open to working in other languages
- Comfortable with cloud-native architectures (AWS preferred) and container orchestration (e.g., Kubernetes); you manage infrastructure and CI/CD pipelines as a core part of your development process.
- Experience in data-driven decision making and A/B testing—you can define how to instrument experiments, read and interpret results, and ensure learnings are folded back into system design.
- Comfortable designing and querying data models in relational, analytical, and NoSQL datastores (e.g., Postgres, MySQL, data warehouses, Redis, vector databases).
- Feel at home with modern DevOps practices (CI/CD, monitoring, alerting) and how to apply them to architect large-scale data and recommendation systems.
- Track record of owning multi-component projects end-to-end—from initial technical design and implementation through rollout, monitoring, and sustained iteration.
- Excellent technical collaborator and communicator: you can clearly articulate complex technical trade-offs to both technical peers and non-technical partners, and you work effectively to drive alignment across ML Engineers, Software Engineers, PMs, and other teams.
- You are a self-starter who has actively experimented with AI in work or personal projects and are excited to responsibly explore and define new AI tools and workflows to enhance team productivity and system intelligence.
Nice to have
- Previous experience working on product recommendation systems or adjacent ML-powered features (ranking, personalization, search, or similar).
- Experience with big data frameworks such as Apache Spark (or similar technologies like Flink, Beam, etc.) for architecting and building complex batch or streaming pipelines.
- Experience in AI/ML systems and products, such as integrating models into production systems, building features powered by ML, or contributing to the ML infrastructure.
- Experience training and iterating on machine learning models (e.g., for ranking, prediction, or personalization).
- Experience with ML and distributed compute frameworks such as Ray or similar tools.
- Experience partnering with data science or ML teams to productionize models (designing feature stores, ensuring offline/online parity, advanced model deployment and monitoring).
- Background in e-commerce, marketing tech, or consumer personalization products.
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
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Senior Site Reliability Engineer, Fleet Management
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The Team
Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.
The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.
This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, remotely in the United States region, or our European office in Dublin.
Responsibilities
- Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB
- Provide internal support for our Kubernetes ecosystem, partnering with engineering teams to help them solve domain-specific problems
- Participate in a 24/7 on-call rotation to resolve critical issues
- Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice
You may be a good fit if you
- Have 6+ years of experience in software development and operating distributed systems
- Are proficient in Go, Python, or a similar language, with a strong commitment to code quality and testing practices (writing unit, integration, and E2E tests)
- Have deep experience using and extending containerization technologies, preferably Kubernetes
- Have a solid understanding of Linux operating system internals and networking concepts (e.g., filesystems, TCP/IP, DNS, TLS)
- Possess a customer focused mindset, treating internal developers as your primary users
- Have strong operational ownership, including a track record of debugging complex production issues and driving them to resolution
- Prefer automation over manual processes ("allergic to ops work")
- We are a small team of software engineers with a strong bias toward building software solutions to eliminate toil
Strong candidates may also have experience with
- Designing and implementing secure, multi-tenant runtime environments from first principles
- Proficiency with Kubernetes ecosystem tools such as Helm, Kustomize, Gatekeeper, Kyverno, and CRDs/Operators, CRI, CSI
- Expertise in cloud infrastructure platforms, including AWS, GCP, or Azure
- Proficiency in provisioning infrastructure using tools like Terraform, Crossplane, and AWS Controllers for Kubernetes (ACK)
- Advanced Linux systems internals and networking concepts specifically relevant to containers, such as namespaces and cgroups
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 426182
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
Ready to apply?
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Site Reliability Engineer (Senior or Staff), Atlas
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The Team
This role can sit in our NYC HQ on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones. We are looking for an experienced Senior Engineer for our SRE, Atlas team to support, maintain and grow the Atlas platform. As a senior SRE, you will be expected to be able to design & build complex systems, operate with autonomy and act as owner for everything you do.
The SRE Atlas team works alongside the various Atlas software engineering teams to provide expertise about running systems at scale, build new tooling and automation and perform essential maintenance of the Atlas fleet.
This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions that have the ability to impact our customer’s most crucial workloads.
Role Overview
We are seeking a talented Site Reliability Engineer (SRE) with a strong infrastructure background. This role requires engineers to have a customer-first mindset to ensure that everything we do results in a stronger product and a better experience for all Atlas customers.
The ideal candidate should
- Have 5+ years of experience running critical systems at scale
- Value efficiency in processes and operations, and display a preference for automation over manual processes (“allergic to ops work”)
- Be familiar with a major cloud provider (AWS, Azure, or GCP) and possess the ability to build and operate systems in a multi-cloud environment
- A strong understanding of how to run a large scale Linux environment, including low level fundamentals
- Firm grasp of at least one modern programming language, beyond basic scripting (Go, Ruby, Python)
- Solid understanding of web and network protocols and standards (HTTP, TLS, DNS, etc)
Special Requirements:
- Be a US Citizen
Expectations
- Participate in the development of a reliable and resilient multi-cloud platform that hosts business critical applications for a wide & varied range of customer applications
- Collaborate with service-owning teams to provide internal support, solve technical challenges and adapt or build tooling to solve novel use cases in a generic fashion
- Participate in a 24/7 on-call rotation to swiftly resolve issues related to any disruption of our customer facing Atlas fleet, ensuring minimal disruption and high availability
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 426187
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
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Team Lead, Site Reliability Engineering - Fleet Management
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The Team
Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.
The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.
This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, or remotely in the United States region.
Responsibilities
- Manage a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers
- Help develop a clear technical vision and comprehensive roadmap for our runtime environment, balancing long-term strategic infrastructure goals with immediate engineering needs
- Contribute through light hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges
- Act as the primary liaison for the Fleet Management team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations
You may be a good fit if you:
- Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams
- Possess a customer-focused mindset, treating internal developers as your primary users
- Value efficiency in processes and operations, and have a track record of optimizing team workflows
- Prefer automation over manual processes ("allergic to ops work"), fostering a culture of building software solutions to eliminate toil
- Have deep technical familiarity with Kubernetes ecosystems, containerization technologies, and modern IaC tooling (e.g., Terraform, Crossplane, or Operators) so you can effectively guide the team's technical decisions
- Excel at translating complex business and engineering requirements into actionable, phased technical roadmaps
- Have a high level of empathy, responsibility, ownership, and accountability
- Excellent verbal and written technical communication skills
Strong candidates may also have experience with:
- Leading major architectural shifts, such as migrating teams from traditional IaC to Operator-driven lifecycle management
- Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
- Designing secure, multi-tenant runtime environments at scale
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 426152
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
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Site Reliability Engineer (Senior or Staff), Storage Layer Services (SLS)
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MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently.
You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture.
This role can be based out of our Boston, New York City, Raleigh, Miami, Pittsburgh or remotely in the United States while physically based in an Eastern or Central time zone location.
The ideal candidate should
- Have 6+ years of experience working on software development and operating distributed systems
- Proficiency in Python, Go, or a similar language
- Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs.
- Possess a customer-focused mindset
- Value efficiency in processes and operations
- Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil
- Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market
- Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure
- Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing)
Responsibilities
- Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs
- Build for reliability, making services and infrastructure available, resilient, fault-tolerant, and self-healing
- Identify and configure key metrics to detect incidents and quantify service health, availability, and performance
- Participate in a 24/7 on-call rotation to resolve issues involving the storage infrastructure
- Become an expert in infrastructure performance, helping us optimize from the application level all the way to the kernel
Strong candidates may also have experience with:
- Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements
- Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
- Designing secure, multi-tenant runtime environments at scale
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 1273396252
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
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Director of Application Managed Services
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The Director of Application Management is a senior, executive-level leadership role responsible for defining and executing the global strategy for application management, managed solutions, and next-generation AI-enabled service offerings.
Operating with VP-level scope and accountability, this leader will oversee a globally distributed organization spanning U.S.-based managed services and international application management teams. The role also owns the creation and scaling of new strategic capabilities, including Site Reliability Engineering (SRE), Interface-as-a-Service, and AI-driven (agentic) development.
This position requires a balance of strategic vision, operational rigor, and deep platform expertise to deliver highly reliable, scalable, and continuously evolving managed services for clients worldwide.
Key Responsibilities
Global Application Management Leadership
- Own and scale a global Application Management function supporting mission-critical client environments across all regions
- Define and implement a standardized global operating model, including SLAs, KPIs, and delivery frameworks
- Drive consistency, quality, and continuous improvement across geographically distributed teams
- Ensure alignment with regional regulatory, operational, and client-specific requirements
U.S. Managed Solutions Leadership
- Lead the U.S.-based managed solutions organization with full accountability for service delivery outcomes
- Ensure tight integration across infrastructure, platform, and application layers
- Establish a culture of ownership, accountability, and operational excellence
- Serve as executive escalation point for critical client and operational issues
SRE & Reliability Engineering
- Build and scale a modern SRE function focused on reliability, automation, and observability
- Define reliability targets, error budgets, and operational maturity standards
- Embed SRE principles across all service delivery teams
- Drive adoption of proactive, automated, and self-healing operational models
Next-Generation Service Development
- Define, build, and scale new managed service offerings, including:
- Interface-as-a-Service
- Agentic AI development for product customization and workflow automation
- Standardized global upgrade services
- Productize services with clear delivery models, value propositions, and scalable execution frameworks
- Partner closely with Product and Engineering to align service capabilities with platform evolution
AI & Automation Strategy
- Lead the adoption of AI-driven capabilities to transform service delivery and operational efficiency
- Develop and scale agentic workflows for configuration, customization, and support
- Identify and execute opportunities to reduce manual effort through intelligent automation
- Ensure secure, compliant, and responsible use of AI across client environments
Client Lifecycle & Upgrade Excellence
- Establish a global, repeatable model for client upgrades across platforms and geographies
- Improve predictability, reduce risk, and enhance the client experience during upgrades
- Integrate upgrade processes into ongoing managed service delivery
- Drive automation and standardization across lifecycle operations
Executive Stakeholder Engagement
- Act as a senior leader across Product, Engineering, Sales, and Customer Success organizations
- Engage directly with strategic clients and executive stakeholders
- Provide clear, data-driven reporting on performance, risks, and transformation initiatives
- Influence roadmap and investment decisions based on operational insights
Required Experience & Qualifications
Leadership & Operational Experience
- 15+ years of experience in enterprise software, healthcare IT, or managed services
- Proven experience leading large-scale, globally distributed teams
- Demonstrated success operating at a senior leadership (VP-equivalent) level
- Strong track record managing mission-critical application environments or SaaS operations
- Experience building and scaling SRE or reliability-focused organizations
InterSystems Expertise (Strongly Preferred)
- Deep experience with:
- HealthShare
- TrakCare
- HealthConnect / HealthConnect Cloud
- IRIS data platform
- Strong understanding of InterSystems-based architectures, interoperability, and operational models
Technical & Domain Expertise
- Experience with cloud and hybrid environments (public and private cloud)
- Strong understanding of integration frameworks and interface engines
- Familiarity with DevOps, CI/CD, and infrastructure-as-code practices
- Experience with observability, monitoring, and incident management tooling
AI & Innovation
- Experience applying AI and automation in enterprise or operational environments
- Understanding of agentic AI concepts and enterprise use cases
- Ability to translate emerging technologies into scalable service offerings
Leadership Expectations
- Operates with VP-level ownership, autonomy, and decision-making authority
- Drives clarity and structure across complex, global operations
- Balances long-term strategy with hands-on execution
- Builds and leads high-performing, accountable teams
- Establishes a culture of continuous improvement and innovation
- Communicates effectively at both executive and technical levels
Success Measures
- Standardized and scalable global application management model in place
- Improved SLA performance, uptime, and client satisfaction across regions
- Successful launch and adoption of SRE, Interface-as-a-Service, and AI-driven offerings
- Measurable reduction in manual operations through automation and AI
- Predictable, efficient global upgrade execution
- Strong alignment across Product, Services, and client outcomes
We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.
InterSystems is providing a current good faith estimate of the anticipated base salary range for this position depending on a variety of factors including experience, education, skills, and performance.
Other compensation may include a discretionary annual variable target incentive.
The company also provides generous employee benefits including:
- Medical, vision, and dental insurance
- Short-term and long-term disability, and life insurance
- 401(k) Profit Sharing Contribution
- Paid Time Off and Holidays
- Parental Leave
- Tuition reimbursement
About InterSystems
InterSystems, a creative data technology provider, delivers a unified foundation for next-generation applications for healthcare, finance, manufacturing, and supply chain customers in more than 80 countries. Our data platforms solve interoperability, speed, and scalability problems for large organizations around the globe to unlock the power of data and allow people to perceive data in imaginative ways. Established in 1978, InterSystems is committed to excellence through its 24×7 support for customers and partners around the world. Privately held and headquartered in Boston, Massachusetts, InterSystems has 38 offices in 28 countries worldwide. For more information, please visit InterSystems.com.
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Mid-Market Account Executive
As an Account Executive on our Mid-Market Sales team, you will assist in Datadog’s overall business growth by strategically engaging and closing net-new customers across mid-to-large size organizations. Sellers follow a well-defined methodology, collaborate with internal stakeholders, identify the customer's unique needs, and clearly convey the value of the Datadog product. Mid-Market reps have the opportunity to grow their careers in Sales and continue contributing to Datadog team success.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:
- Focus entirely on net-new logo acquisition
- Convert inbound leads to closed opportunities
- Leverage tools such as Sales Navigator and DiscoverOrg
- Strategically prospect into Chief Technology Officers, Engineering/IT Leaders, and technical end users (SRE, DevOps, DevSecOps)
- Multi-thread into different departments of a complex organization
- Collaborate with Sales Development Representatives to drive top of funnel activity
- Manage the full sales cycle, including negotiations and on-site technical demonstrations
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply.
Who You Are:
- Experienced in hunting and closing net new logos
- Able to strategically map out and break into large scale organizations
- Curious, motivated, and driven as a sales person
- Bold on the phones and creative in your emails
- Able to sit up to 6 hours, traveling to and from client sites via auto, train, or air, up to 30% of the time
Benefits and Growth:
- High income earning opportunities based on self performance
- Opportunity for Presidents Club
- New hire stock equity (RSU) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Sales training in MEDDIC and Command of the Message
- Intra-departmental mentor and buddy program for in-house networking
- An inclusive company culture, opportunity to join our Community Guilds
- Generous global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
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Senior Systems Integration QA/ Team Lead
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Catapult is building the future of sports performance technology, with a mission to Unleash the Potential of every athlete and team on earth. We don't just work in the sporting industry; we are actively changing it. Since 2006, our solutions have been leading the way in sports performance software, science, and data, in a world where 1% can literally mean the difference between winning and losing.
We work with over 5,000+ teams around the world, empowering coaches, managers and trainers in premier teams in the NFL, NBA, NHL, MLS, EPL, AFL, NRL, NCAA and more. We provide the information they need to optimize athletes’ health, game-day readiness, and performance, as well as in-game tactics.
Catapult is a sports technology company that empowers professional teams to make data-driven decisions. We deliver health, performance, video, and AI insights from the locker room to competitive environments, ensuring every decision is an opportunity to gain an advantage, sharpen performance, and build lasting success.
WE WANT PEOPLE WHO ARE PASSIONATE ABOUT SYSTEMS AND QUALITY
We are looking for a hands-on Senior Systems Integration QA / Team Lead to oversee end-to-end quality assurance for our live sports video capture and multi-angle video playback systems. This role goes beyond traditional software testing; you will lead QA across video inputs, hardware, network components, mobile client devices (iPads), and our desktop capture applications. You'll work cross-functionally with Product, Engineering, and Systems Engineering, and will be expected to spend time on-site with customer-facing colleagues to validate our solution under real-world conditions, including testing of performance, networking conditions, resiliency/failover, and operational workflows.
WHAT YOU’LL DO
Systems & Field Validation
- Lead soak, stress, latency, and reliability testing in environments that mirror stadium/field deployments
- Conduct on-site verification sessions with customer-facing colleagues, capturing real-world usage patterns, connectivity challenges, and workflow friction
- Translate field findings into actionable engineering tickets and QA improvements
Strategic QA Leadership
- Own the test strategy and quality culture across video inputs, encoders, networking, video capture, backend services, client apps and field devices
- Build and maintain a scalable QA device lab, including video inputs, cameras, encoders, networking, desktop applications and devices, to test a range of setups based on real customer usage
- Define and oversee test plans for individual components and full integrated system flows
Cross-Team Collaboration
- Partner closely with Product Management to align test scenarios with real coaching workflows, and multi-user performance requirements
- Work with Systems Engineering to configure and observe behaviour and performance with different network conditions and configurations
- Collaborate with Developers and Support teams to instrument logs, expose timestamps, and build tools to support QA, automate setups, and review system health
Device Automation & Metrics
- Define quality metrics for video, network and system performance
- Establish a repeatable regression and release validation pipeline, including pre-deployment reliability gates based on real team usage scenarios
- Define/create tooling to automate setup, configuration and health checks of environments
WHAT YOU’LL NEED
- 5+ years in system integration test roles, or in video streaming, broadcast tech working with high-concurrency systems
- Proven experience testing hardware and software integrated platforms: including video pipelines, encoders, mobile clients, and network infrastructure
- Strong knowledge of network fundamentals
- Experience designing/operating a device lab with high device concurrency (e.g., 20+ tablets concurrently testing playback or streaming)
- Ability to design test plans for failure scenarios: including hardware, network etc failures
- Comfortable being hands-on with physical gear: plugging switches, flashing iPad builds, reading encoder diagnostics
- Exceptional communication skills: capable of representing QA insights directly to Product and Field teams with clarity and urgency
WHAT YOUR SUCCESS WILL LOOK LIKE
- In 6 months time: You will have developed a comprehensive understanding of our Thunder and Focus Live gameday solutions, confidently navigating and validating their end-to-end system workflows.
- In 12 months time: You will have successfully overseen quality assurance through a full gameday season, demonstrating a solid command of both current and upcoming infrastructure systems to drive continuous reliability.
WHY CATAPULT?
- We have amazing people. We promise you’ll work with some of the most ambitious, intelligent people in an exciting industry, and do some of the best work of your life.
- We encourage our people to engage in constructive, open, and honest communication to make Catapult extraordinary.
- We work in a collaborative yet challenging environment to consistently improve our performance, which in turn impacts our customers' performance.
- Our workforce spans more than 20 countries. You'll have the opportunity to work with people from multiple nationalities and cultures, and to build your global awareness.
- We value improvement and development. We are challenging ourselves to continuously grow and become a high-performance company. That means we maintain a growth mindset in everything we do, and our people are always looking for ways to improve. There is an unlimited opportunity to grow, do more, and do better.
Whether you’re interested in sports or not, you’ll have the satisfaction of knowing your work is supporting some of the most successful teams and athletes on the planet!
Research shows that while men apply for jobs when they meet an average of 60% of the criteria, women and other marginalized groups tend only to apply when they check every box. So if you have what it takes, but don't meet every single point in our job ad, please still get in touch! We would love to have a chat and see if you could be a great addition to our team. We are building the future of sports performance. Our priority is to find the brightest talent who can add to our team culture, actively contribute, and be excited about what they do.
Compensation & Benefits
The target Total Compensation range for this position is $90,626 - $181,252 per year. This range is inclusive of base salary and a target incentive plan (which may include equity, commission, or other bonus structures).
Your specific compensation within this range will be determined by factors such as your geographic location, relevant experience, and job-related skills.
In addition to this compensation, Catapult also offers generous paid leave and recognized company holidays, and the opportunity to participate in our comprehensive benefits package, including Health, Dental, and Vision insurance, and 401(k) retirement plan with company match.
All offers of employment are subject to Catapult's positive prehire check. To find out more, please contact the Talent Partner for this role.
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Principal Software Engineer
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Paperless Parts provides the manufacturing industry with a SaaS platform that empowers the next generation of manufacturers to join the digital age. When manufacturers use our product, they free up valuable time for faster quoting and estimating, leading to increased profitability and reduced manual steps. From life-saving medical devices to critical components that unlock new depths of outer space, our customers produce parts that go into some of the world’s coolest and most impactful products. It is our mission to enable manufacturers with the technology they need to drive innovation forward.
We are a team of motivated and hardworking creators and doers. If you’re looking to have a direct impact on a Series B fast-scaling company that is revolutionizing an essential industry, read on and apply!
This is a full-time hybrid position based in Boston, MA.
This position requires activities that are subject to US Export Control Laws and require US Citizenship or Green Card Holder.
About the Role
Step into the role of Principal Software Engineer and serve as a technical force multiplier for our engineering organization. In this high-leverage position, you will look beyond the immediate roadmap to define the architectural vision that will support Paperless Parts for years to come. You will bridge the gap between business strategy and technical execution, ensuring our systems are robust, scalable, and AI-ready.
This role is a powerful catalyst for change and innovation. You will be responsible for modernizing our engineering practices—integrating AI agents into the development lifecycle, driving the evolution from monolithic to a service architecture, and mentoring our engineers to become the next generation of leaders.
Who You Are
- Technical Visionary & Pragmatist: You have a proven track record of evolving complex architectures in scale-up environments. You balance the pursuit of "technical purity" with business reality, making hard trade-offs with incomplete information.
- Force Multiplier: You don't just write great code; you make the entire team better. You are passionate about mentorship and teaching others effective patterns for design, review, and agentic coding.
- AI Pioneer: You think strategically about how AI agents and workflows can fundamentally change how we build software. You believe that "what is good for humans is good for AI," championing standards that serve both.
- Business Partner: You understand that technical debt is a business risk. You can translate complex infrastructure needs into tangible business value (ROI, reliability, speed) to help leadership prioritize effectively.
Why You'll Love Working Here
- Architectural Authority: You will lead the design of our most critical systems, making high-stakes decisions on migrating to distributed architectures and defining our data strategy.
- Optimizing the AI-Native Workflow: You will have the freedom to operationalize AI at scale—implementing agents for ticket resolution, automated reviews, and documentation—driving significant improvements in modern engineering efficiency.
- High-Impact Work: Our software is used in mission-critical industries like aerospace and defense. The reliability and performance standards you set directly impact the production of life-saving and critical components.
- Culture of Excellence: You will help establish a culture of deep observability and operational maturity, leading the charge on incident management and blameless postmortems.
What You'll Do
- Architect & Evolve: Lead the technical strategy for migrating legacy monolithic patterns to scalable, service architectures. You will define the long-term vision for our backend systems, APIs, and cloud infrastructure.
- Operationalize AI Development: Drive the adoption and continuous improvement of AI-assisted workflows (using tools like Cursor and Claude Code). You will champion the strategic integration of AI agents to enhance autonomous task execution and leverage AI throughout the software life cycle.
- Drive Operational Maturity: Instill a strong focus on reliability and site operations across the team. You will lead initiatives to improve observability (logging, monitoring), define clear runbooks, and facilitate postmortems that turn incidents into structural improvements.
- Elevate Engineering Standards: Enforce "context-first" engineering. You will champion the creation of Architectural Decision Records (ADRs) and high-quality documentation, ensuring our codebase provides the explicit context needed for both human alignment and effective AI agent performance.
- Mentor & Lead: Act as a technical beacon, dedicating significant time (~20%) to pairing, design reviews, and mentoring engineers across different levels to elevate the team's collective skill set.
- Strategic Alignment: Collaborate with R&D leadership to prioritize technical initiatives. You will articulate the ROI of infrastructure investments and technical debt reduction in terms of customer reliability and business agility.
What You'll Bring
- 12+ years of experience in software engineering, with a strong background in architecting SaaS products at scale (start-up to scale-up transition experience preferred).
- Deep Architectural Expertise: Proven success decomposing monoliths and designing distributed systems, with strong judgment on build-vs-buy decisions and technology selection.
- Modern Stack Proficiency: Expert-level knowledge of modern web frameworks and databases, along with deep experience in AWS cloud-native patterns (containers, serverless).
- AI/LLM Fluency: Practical experience leveraging LLMs and AI agents in a production engineering workflow. You understand prompt engineering, context limits, and how to structure codebases for AI interpretability.
- Operational Rigor: A strong commitment to production reliability, with experience designing systems for observability and leading incident response processes.
- Communication Mastery: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and influence decisions without relying on authority.
Why Join Us?
- Impactful Work: Your contributions will power industries critical to our society and economy, making a real difference.
- Continuous Learning: We invest in our people and offer opportunities to learn, grow, and advance their careers.
- Supportive Culture: Our team is our greatest asset, and we foster an environment where everyone can thrive.
If you’re a forward-thinking engineer eager to make a significant impact while working with a talented, driven team, we’d love to hear from you!
Salary range: $212,000 - $286,000
Paperless Parts Life
Culture: At Paperless Parts, we value intentionality, persistence and relationships. We live and breathe these values every day. As a fast-growing company, we’re continually improving what we’ve built while still building from the ground up.
Boston Office: Our office is full of energy; people regularly collaborate to solve complex problems. We recognize that people work well in different environments and have intentionally designed our office to provide collaborative spaces and quiet focus areas. Our height-adjustable desks are set up with additional monitors, and employees are provided with the latest Apple technology to support productivity.
Our headquarters is located in downtown Boston, MA and easily accessible to most transit routes (Red/Blue/Orange/Green Line/South Station/North Station).
Encinitas Office: Our California office is our newest office which seats our West Coast sales team. The office has an open floor plan with several conference rooms to encourage collaboration with your colleagues in California and TV's to connect with those sitting in Boston or remotely. The office is walking distance from Downtown Encinitas, the Coaster train stop, and tons of activities on the 101.
Benefits: We value you and your family. With this in mind, full-time employees are provided:
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100% coverage of health, dental, and vision for you and your dependent
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Competitive compensation philosophy
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Unlimited PTO
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13+ paid holidays
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Company-sponsored wellness stipend
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Pre-tax Commuter and FSA/Dependent Care FSA
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401(k) plan
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Employee recognition program
Responsible for adherence to all security and privacy requirements, rules and regulations and implement as required.
Paperless Parts is committed to cultivating an equitable, inclusive, and supportive environment for all employees. We believe this environment creates a safe space for employees to share their experiences, brainstorm ideas, and grow their careers. Paperless Parts is an Equal Opportunity & Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
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Principal IT Systems Administrator
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Who we are
At CarGurus (NASDAQ: CARG), our mission is to give people the power to reach their destination. We started as a small team of developers determined to bring trust and transparency to car shopping. Since then, our history of innovation and go-to-market acceleration has driven industry-leading growth. In fact, we’re the largest and fastest-growing automotive marketplace, and we’ve been profitable for over 15 years.
What we do
The market is evolving, and we are too, moving the entire automotive journey online and guiding our customers through every step. That includes everything from the sale of an old car to the financing, purchase, and delivery of a new one. Today, tens of millions of consumers visit CarGurus.com each month, and ~30,000 dealerships use our products. But they're not the only ones who love CarGurus—our employees do, too. We have a people-first culture that fosters kindness, collaboration, and innovation, and empowers our Gurus with tools to fuel their career growth. Disrupting a trillion-dollar industry requires fresh and diverse perspectives. Come join us for the ride!
Role overview
The Principal IT Systems Administrator is the most senior individual contributor on the IT Systems team, setting technical direction for core platforms, endpoints, networks, and security within IT Operations. This role drives reliability, scalability, and automation.
You will lead complex initiatives, serve as a top escalation point, and partner across the business to ensure infrastructure and endpoints enable productivity while meeting security and compliance needs.
What you'll do
- System Configuration & Administration: Design and implement complex configurations for core IT platforms (identity, collaboration, infrastructure, SaaS). Establish configuration management, lead performance/reliability improvements, and automate repetitive tasks.
- Workspace & Endpoint Management: Design enterprise-wide endpoint strategies (macOS, Windows, mobile). Develop and enforce security policies, automate software/OS deployments via MDM/EMM, and own compliance reporting.
- Network & Infrastructure: Design and implement complex network configurations (LAN/WAN/Wi-Fi/VPN/voice) for scalability and security. Maintain monitoring, automate network management, and lead infrastructure projects (e.g., migrations, new site buildouts).
- Security Engineering & Operations: Define and drive security strategies within IT Systems (identity, access, endpoints, networks). Integrate security tools (SSO/MFA, EDR, DLP), enforce access policies, and act as a technical lead during critical security incidents.
- Incident Management & Reliability: Define and implement incident response strategies, lead Post-Incident Reviews (PIRs) to drive corrective action, develop runbooks, and oversee on-call rotations.
- Documentation & Knowledge Management: Define documentation standards (architecture, SOPs, runbooks) and ensure knowledge bases are accurate, comprehensive, and easily discoverable.
What you'll bring
- Extensive experience (typically 8+ years) in IT systems engineering/administration, with significant time in senior/lead roles on enterprise-scale environments.
- Deep expertise in: Core IT systems (identity, collaboration, directory), Endpoint management (MDM/EMM, lifecycle), Network infrastructure (switching, routing, VPN), and Security controls (EDR, SSO/MFA).
- Demonstrated ability to design complex configurations, lead large cross-functional projects, and influence architectural decisions.
- Strong automation mindset and proficiency with scripting/infrastructure-as-code (Python, PowerShell, Terraform).
- Proven track record leading major incidents and PIRs.
- Excellent cross-functional collaboration and communication skills, comfortable engaging all levels.
- Experience in environments with security, regulatory, or audit requirements (SOC 2, SOX).
- A bias toward ownership, documentation, and mentorship.
Nice to have: Experience in a high-growth SaaS or technology company, familiarity with CarGurus tools (Okta, Google Workspace/M365, Jamf, Intune), and experience partnering with Security Engineering and GRC.
The displayed range represents the expected annual base salary / On-Target Earnings (OTE) for this position. On-Target Earnings (OTE) is inclusive of base salary and on-target commission earnings, which applies exclusively to sales roles.
Individual pay within this range is determined by work location and other factors such as job-related skills, experience, and relevant education or training.
This annual base salary forms part of a comprehensive Total Rewards Package. In addition to benefits, this role may qualify for discretionary bonuses/incentives and Restricted Stock Units (RSUs).
Working at CarGurus
We reward our Gurus’ curiosity and passion with best-in-class benefits and compensation, including equity for all employees, both when they start and as they continue to grow with us. Our career development and corporate giving programs, as well as our employee resource groups (ERGs) and communities, help people build connections while making an impact in personally meaningful ways. A flexible hybrid model and robust time off policies encourage work-life balance and individual well-being. Thoughtful perks like daily free lunch, a new car discount, meditation and fitness apps, commuting cost coverage, and more help our people create space for what matters most in their personal and professional lives.
We welcome all
CarGurus strives to be a place to which people can bring the ultimate expression of themselves and their potential—starting with our hiring process. We do not discriminate based on race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We foster an inclusive environment that values people for their skills, experiences, and unique perspectives. That’s why we hope you’ll apply even if you don’t check every box listed in the job description. We also encourage you to tell your recruiter if you require accommodations to participate in our hiring process due to a disability so we can provide the appropriate support. We want to know what only you can bring to CarGurus. #LI-Hybrid
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Global Delivery Leader
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Role Overview
The Global Delivery Leader will own the strategy, architecture, and global execution of InterSystems’ cloud-native Service Delivery Platform. This platform—built on Kubernetes and Spectro Cloud—underpins all SaaS and Managed Services delivery for InterSystems IRIS and the broader portfolio across private datacenters and public cloud providers.
This role is accountable for leading globally distributed engineering and operations teams that design, build, and run a highly available, secure, and scalable platform spanning InterSystems datacenters, AWS, Azure, and GCP. The Director will be responsible not only for operational excellence, but also for the cloud architecture, automation frameworks and software-driven operational model required to deliver IRIS as a truly global, cloud-native managed service.
Key Responsibilities
Platform Ownership & Cloud Architecture
- Own the end-to-end architecture and global operation of the InterSystems Service Delivery Platform, spanning Spectro Cloud, Kubernetes, Cilium, Helm, and multi-cloud infrastructure services.
- Define and evolve a cloud-first reference architecture supporting consistent, secure, and resilient service delivery across InterSystems datacenters and public cloud regions.
- Act as the senior technical authority for Kubernetes platform strategy, multi-cloud design, and runtime operational patterns.
Engineering-Led Operations & Automation
- Drive a platform engineering and SRE operating model, where infrastructure and operations are delivered through software, automation, and repeatable pipelines.
- Establish Infrastructure as Code (IaC) standards and practices using Terraform, Helm, and GitOps-based workflows to ensure deterministic, auditable platform deployments.
- Partner with Product Engineering and Cloud Engineering to define CI/CD pipelines, deployment automation, and lifecycle management for IRIS and supporting services.
- Ensure platform changes are engineered, tested, versioned, and rolled out with the same rigor as application software.
Reliability, Scale & Observability
- Define and enforce service-level objectives (SLOs), error budgets, and operational KPIs across regions and clouds.
- Lead the evolution of observability and telemetry using Coralogix and complementary tooling to enable full-stack visibility, proactive detection, and automated remediation.
- Establish mature incident response, problem management, and continuous improvement processes aligned with SRE best practices.
Security, Compliance & Risk
- Partner with Global Security, Compliance, and Risk teams to ensure platform architecture and operations meet regulatory, data protection, and access control requirements.
- Ensure security is embedded by design across Kubernetes, cloud infrastructure, CI/CD pipelines, and operational tooling.
Financial Stewardship & Growth Enablement
- Own capacity planning, scaling strategies, and cross-cloud cost management, balancing reliability, performance, and financial efficiency.
- Enable rapid global growth of Managed Services and SaaS offerings through standardized, scalable platform capabilities.
Leadership & Organizational Development
- Lead and grow a globally distributed organization of platform engineers, SREs, and operations leaders.
- Build a culture of accountability, technical excellence, and continuous learning.
- Serve as a senior leader within Managed Services, influencing cross-functional strategy and representing platform operations at the executive level.
Qualifications & Experience Required
- 15+ years of experience in cloud infrastructure, platform engineering, SRE, or large-scale distributed systems, including senior leadership roles with global scope.
- Proven success designing and operating Kubernetes-based platforms at enterprise or SaaS scale, supporting mission-critical customer workloads.
- Deep hands-on experience with AWS, Azure, and/or GCP, including networking, compute, storage, identity, and security architectures.
- Strong background in Infrastructure as Code and automation, with practical experience using Terraform, Helm, GitOps, and CI/CD platforms.
- Demonstrated ability to lead organizations that build software to operate infrastructure (platform engineering mindset).
- Experience with observability ecosystems such as Coralogix, Datadog, Prometheus, Grafana, or equivalent.
- Strong understanding of high availability, disaster recovery, multi-region design, and data platform operations.
- Track record of leading large, globally distributed teams and driving operational transformation.
- Exceptional communication and executive presence, with the ability to influence across engineering, product, security, and leadership teams.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.
About InterSystems
InterSystems, a creative data technology provider, delivers a unified foundation for next-generation applications for healthcare, finance, manufacturing, and supply chain customers in more than 80 countries. Our data platforms solve interoperability, speed, and scalability problems for large organizations around the globe to unlock the power of data and allow people to perceive data in imaginative ways. Established in 1978, InterSystems is committed to excellence through its 24×7 support for customers and partners around the world. Privately held and headquartered in Boston, Massachusetts, InterSystems has 38 offices in 28 countries worldwide. For more information, please visit InterSystems.com.
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Senior Data Implementation Engineer
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Acadian Asset Management is a global, systematic investment manager at the forefront of data-driven investing since 1986. Headquartered in Boston, with locations in Singapore, London, and Sydney, we manage over $170 billion on behalf of leading institutions worldwide—including pension funds, endowments, foundations, and sovereign wealth funds. We harness advanced technology, rich datasets, and multidisciplinary expertise to help clients navigate complex markets and uncover insights that may be overlooked by traditional approaches.
What sets Acadian apart is our people. We foster a collaborative, intellectually curious environment where ideas are tested, diverse perspectives are welcomed, and innovation thrives. We’re united by a shared purpose: delivering effective client outcomes and supporting one another in work that’s both challenging and rewarding. We offer a flexible hybrid work environment, strong benefits, and a casual but focused office culture—all designed to support the meaningful, collaborative work that defines Acadian.
Position Overview:
We’re looking for a Senior Data Implementation Engineer to help lead and accelerate Acadian’s data transformation efforts. This role is central to reimagining and rebuilding our data platform so that we can continue to scale our investment research, production data workflows, and operational capabilities in a rapidly evolving landscape.
You’ll be hands-on in designing and implementing modern data pipelines and platform capabilities using tools such as Apache Arrow, Polars, Dagster, and other emerging technologies. You’ll also help shape how we use AI-assisted development tools, such as Claude & ChatGPT, and related automation approaches, to improve the speed, quality, and maintainability of data pipeline development.
This is a senior engineering role for someone who can operate across both strategy and execution: deeply understanding existing systems, designing pragmatic transition paths, mentoring others, and building reliable, scalable, high-performance data infrastructure that directly supports Acadian’s quantitative investment process.
Acadian supports a hybrid work environment; employees are on-site in the Boston office 3 days a week.
What You’ll Do
- Lead Data Pipeline Design and Implementation
- Design, build, and optimize robust data pipelines that are reliable, scalable, observable, and performant. Use modern data engineering tools and patterns to support investment research, production workflows, and downstream analytics.
- Drive System Modernization
- Deeply understand existing data systems, identify architectural limitations, and lead the transition toward more modern, maintainable, and efficient data architectures.
- Shape Technical Direction
- Partner with Data Platform Engineering, Data Analysis, and investment teams to define implementation patterns, pipeline standards, and architectural approaches that can scale across the organization.
- Apply AI Tooling to Engineering Workflows
- Use AI-assisted development tools such as Claude, ChatGPT, or similar technologies to accelerate pipeline development, automate repetitive workflows, improve documentation, generate tests, and enhance developer productivity.
- Mentor and Lead Others
- Provide technical guidance to junior and mid-level engineers. Help raise the engineering bar through code reviews, design discussions, pairing, documentation, and thoughtful mentorship. Lead small project teams or workstreams when needed.
- Improve Reliability and Operational Excellence
- Develop systems with strong testing, monitoring, lineage, data quality checks, and operational supportability. Help ensure that data pipelines are resilient, transparent, and easy to maintain.
- Collaborate Across Teams
- Work closely with stakeholders across technology, data, research, and investment teams to understand requirements, resolve ambiguity, and deliver solutions that create measurable business value.
- Continuously Improve the Platform
- Identify opportunities to simplify, automate, and improve the data ecosystem. Champion practical innovation while balancing speed, stability, maintainability, and long-term architectural quality.
We’re Looking for Teammates With
- Bachelor’s degree in a relevant field
- A strong background in data engineering, data platform implementation, or data-intensive software engineering, ideally with 5+ years of experience in a financial, investment, or technology-driven environment.
- Deep experience building production-grade data pipelines, including ingestion, transformation, validation, orchestration, monitoring, and deployment.
- Strong Python programming skills, with relevant experience working with Dagster, Airflow or similar technologies.
- Experience with modern data architecture patterns such as data lakehouse, Medallion architecture, composable data systems, microservices, and event-driven or workflow-oriented architectures.
- Familiarity with Data Mesh concepts, including decentralized data ownership, domain-oriented data products, governance, and discoverability.
- Experience with orchestration, workflow, and data transformation tools such as dbt, Polars, Pandas, Apache Arrow, or comparable technologies.
- Practical experience using AI-assisted development tools such as Claude, ChatGPT, GitHub Copilot, or similar platforms to support data pipeline development, automation, testing, documentation, and engineering productivity.
- Demonstrated ability to mentor engineers, lead technical workstreams, and influence engineering practices across a team.
- A strong sense of ownership and the ability to operate effectively in ambiguous environments, balancing tactical delivery with long-term architectural thinking.
- A passion for building systems that are efficient, scalable, reliable, observable, and easy for others to use.
- An understanding of how data infrastructure supports the broader investment process, and a desire to deliver solutions that improve outcomes for clients and create meaningful business impact.
The base salary range for this role is $175,000 – $200,000 per year. Actual compensation will be determined based on a candidate’s skills, qualifications, and relevant experience. In addition to base pay, this position may be eligible for discretionary incentive compensation and includes participation in Acadian’s comprehensive benefits program, which includes health, retirement, and wellness offerings.
To apply for this position or view Acadian’s open roles, please visit the Careers section of our website at: http://www.acadian-asset.com/careers/Job-opportunities. We will contact only selected candidates. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at recruiting@acadian-asset.com.
Acadian Asset Management LLC is committed to providing equal employment opportunity to all employees and applicants. No employee or applicant shall be discriminated against on the basis of gender, race, creed, color, sex, age, national origin, marital status, pregnancy or parenthood, veteran status, citizenship status, disability, gender identity, or sexual orientation.
Ready to apply?
Apply to Acadian Asset Management LLC
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
About the Team
The Groups Platform team is responsible for building and operating the foundational audience systems that power Klaviyo. Segmentation is one of the most critical capabilities in the product, enabling customers to deliver personalized, high-performing marketing that drives engagement, revenue, and retention.
As part of Klaviyo’s Data Infrastructure pillar, this team owns the systems behind lists and segments—ensuring they are performant, reliable, and scalable, as data volumes and use cases grow. These systems sit at the intersection of data platform, product experience, and business impact, powering how customers define, analyze, and activate their audiences.
Segmentation is a key reason customers choose Klaviyo over other platforms. Research shows that customers who effectively use segments see improved ROI, lower churn, and increased expansion. At the same time, customer needs are evolving, and its the team’s mission to deliver advanced expressiveness, faster iteration, and deeper insights into performance and what actually drives results.
The Role
We’re looking for a Lead Product Manager to drive the strategy and execution of Klaviyo’s segmentation platform. In this role, you will define how audiences are created, evaluated, and leveraged across the product to enable precise and effective targeting at scale.
You’ll work closely with cross-functional partners to build a segmentation system that is fast, reliable, and expressive. This includes improving performance and correctness of segment evaluation, expanding the flexibility of segment definitions, and enabling customers to better understand and optimize their audiences.
This role is ideal for a product leader with strong systems thinking who enjoys solving complex data problems while also delivering intuitive, high-impact customer-facing capabilities.
What You’ll Do
- Define and own the product vision and roadmap for Klaviyo’s segmentation platform.
- Build and operate segmentation as a first-class data product, optimized for correctness, performance, and scale.
- Partner with engineering to improve system performance, including segmentation latency, reliability, and SLA adherence.
- Evolve the expressiveness of segmentation (e.g., nested logic, advanced conditions) to meet the needs of mid-market and enterprise customers.
- Ensure segment definitions are consistent, explainable, and resilient as data complexity grows.
- Develop capabilities that help customers analyze, iterate on, and optimize high-value audiences.
- Introduce recommendations and insights to guide customers toward effective segmentation strategies based on best practices and their own data.
- Define and track key metrics, including latency (P95), success rate, freshness and correctness SLAs, and system reliability.
- Lead cross-functional initiatives across product, engineering, data, and go-to-market teams to improve how audiences are defined and activated.
- Communicate product strategy, tradeoffs, and technical decisions clearly across stakeholders.
Who You Are
- 7–10+ years of product management experience, with meaningful experience building data platforms, infrastructure products, or technically complex systems.
- Strong technical depth with the ability to work closely with engineers on system design, performance, and scalability.
- Experience working with large-scale data systems, query systems, or real-time/near-real-time evaluation systems.
- Track record of building customer-facing products on top of complex backend systems.
- Strong analytical skills with experience defining and managing system-level metrics and SLAs.
- Ability to balance infrastructure investments with user-facing product improvements.
- Excellent cross-functional communicator who can align engineering, product, and business stakeholders.
- Experience in marketing technology, personalization systems, or audience platforms is a strong plus.
Why This Role Matters
Segmentation is at the heart of Klaviyo’s ability to deliver value to customers. It directly impacts customer outcomes—from campaign performance to retention and expansion—and underpins the company’s broader personalization strategy.
In this role, you will shape the systems that enable customers to understand and act on their data with precision. By improving the performance, flexibility, and intelligence of segmentation, you will unlock more advanced use cases, drive better business outcomes for customers, and reinforce Klaviyo’s position as a leader in data-driven marketing.
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Lead Product Manager, Data Management/Governance
As Klaviyo continues to expand its data platform and invest in AI-driven capabilities, the ability to manage, govern, and structure data effectively becomes increasingly important. The Data Management and Governance team plays a foundational role in ensuring that teams across the company can build reliable products, analytics, and AI systems on top of trusted data.
In this role, you will help shape the systems that define how data is managed across the platform, enabling teams to move faster while maintaining the quality, reliability, and governance required to operate at scale.
About the Team
The Data Management and Governance team is responsible for building the foundational systems that ensure Klaviyo’s data is reliable, discoverable, and trusted across the platform. As Klaviyo continues to scale its data ecosystem and invest in AI-powered capabilities, strong governance and data management infrastructure are critical to enabling teams to build intelligent, data-driven products.
This team focuses on creating the frameworks, tooling, and standards that support how data is structured, modeled, and accessed across the organization. This includes investments in areas such as data governance, metadata management, semantic layers, and data discoverability, ensuring that teams can confidently build analytics, automation, and AI-powered experiences on top of high-quality data.
Sitting at the intersection of data platform, analytics infrastructure, and AI, the team partners closely with engineering, data, and product teams to design systems that scale with Klaviyo’s growing data needs.
The Role
We’re looking for a Lead Product Manager to drive the strategy and execution for Klaviyo’s Data Management and Governance capabilities. In this role, you will define how data is structured, governed, and made accessible across the platform to support internal teams and customer-facing products.
You’ll work closely with engineering, data platform teams, and AI/ML teams to design scalable systems that support reliable data usage across the company. This includes evaluating build vs. buy decisions for key infrastructure components, developing semantic data layers, and improving the ways teams discover and interact with data.
This role is ideal for a product leader with strong systems thinking who enjoys solving complex platform problems and building foundational infrastructure that unlocks innovation across the organization.
What You’ll Do
- Define and own the product vision and roadmap for Klaviyo’s data management and governance capabilities.
- Partner closely with engineering and data platform teams to design scalable systems for data governance, metadata management, lineage, and data quality.
- Drive the development of semantic data layers and modeling frameworks that simplify how teams interact with complex data systems.
- Evaluate and lead build vs. buy decisions for components of the data management stack.
- Collaborate with AI/ML teams to ensure data systems support emerging AI-powered and agent-based capabilities.
- Define and track success metrics around data quality, governance adoption, discoverability, and platform reliability.
- Lead cross-functional initiatives that improve how data is structured, documented, and accessed across the organization.
- Communicate product strategy, tradeoffs, and technical decisions clearly across engineering, leadership, and cross-functional partners.
Who You Are
- 7–10+ years of product management experience, with meaningful experience building data platforms, infrastructure products, or data tooling.
- Strong technical depth with the ability to work closely with engineers on system design and architecture decisions.
- Experience working with data governance frameworks, metadata systems, semantic layers, or analytics infrastructure.
- Comfortable operating in highly technical environments involving large-scale data systems or AI/ML platforms.
- Strong analytical and problem-solving skills with the ability to define clear metrics, KPIs, and system performance indicators.
- Experience evaluating build vs. buy decisions for complex infrastructure products.
- Excellent cross-functional communicator who can align engineering, data, and product stakeholders around a shared strategy.
- An engineering or technical background is highly valued but not required.
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Software Engineer II - Analytics Data Engineering | AI & Analytics Data Enablement
Location: Boston, MA
About the Role
Data is the lifeblood of Klaviyo. As a Data Engineer on this team, you will sit at the intersection of infrastructure and intelligence. You won’t just be moving data; you’ll be building the foundations that power our next generation of AI-driven features and enterprise-scale analytics.
You will bridge the gap between data engineering and product impact. Your work will involve developing scalable Spark pipelines, tuning our storage and query patterns to ensure low-latency performance for our enterprise customers, and modeling the high-impact datasets that drive Klaviyo's analytics and machine learning engines.
What You’ll Do
- Build Production-Grade Foundations: Develop and maintain scalable data pipelines and core tables using PySpark, Airflow, and dbt. You will implement the foundational datasets that power our AI, ML, and Analytics products.
- Optimize for Enterprise Performance: Tune Spark jobs and storage patterns to ensure low-latency data retrieval. You will help implement materialized views and efficient partitioning strategies to support high-performance reporting at scale.
- Treat Data as a Product: Contribute to the full lifecycle of datasets. This includes defining clear data contracts with upstream teams, writing maintainable code via peer reviews, and ensuring every asset is well-documented and trusted by downstream users.
- Drive Operational Excellence: Ensure the reliability of our data engine by monitoring for freshness, volume anomalies, and schema changes. You will be responsible for ensuring that when a customer loads a dashboard, the data is accurate and on time.
- Partner Cross-Functionally: Collaborate with Product, Engineering, and AI/ML teams to define consistent metrics that align with business goals. You will act as a bridge to ensure new features land with robust data support.
- Innovate with AI: Look for opportunities to put AI at the center of your workflow, whether it is using AI to generate tests, detect data anomalies, or accelerate complex analysis.
Who You Are
- The Experience: 2+ years of experience in data engineering or a data-intensive software engineering role. You’ve moved past the "beginner" phase and are comfortable taking a project from a design doc to a production deployment.
- Fluent in SQL and Python: You have a solid grasp of SQL for high-performance querying and are comfortable using Python for data manipulation and automation. You focus on writing code that balances speed with reliability.
- Distributed Systems Knowledge: You have hands-on experience with Spark (PySpark/SparkSQL) and understand how to tune jobs for performance in a cloud environment (AWS/EMR).
- Modeling Intuition: You understand the difference between a "raw table" and a "semantic layer." You’ve worked with modern modeling tools (like dbt) and understand partitioning, schema evolution, and lakehouse concepts (Iceberg/Delta).
- Performance Minded: You care about latency. You enjoy the challenge of making a query run faster and understand how to use materialized views and caching effectively.
- Collaborative & Curious: You’re an inclusive collaborator who enjoys working with Product and Data Science. You’re excited to experiment with AI tools to make your own engineering workflow more efficient.
Nice to Haves
- Experience with Iceberg table maintenance and compaction.
- Exposure to Terraform or other Infrastructure-as-Code tools.
- A background in Martech or SaaS platforms dealing with high-frequency event data.
- Experience building data products that directly power customer-facing UI components and/or support AI/ML features.
- Experience building near real-time or streaming pipelines for user-facing analytics or monitoring.
- Hands-on work with analytics engineering tools and practices (e.g., dbt, metrics layers, semantic models).
- Familiarity with statistical modeling and machine learning.
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
SWE II, Core Reporting (Boston, MA)
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny.
Klaviyo operates a real-time data analytics platform coded primarily in Python that is built for massive scale. Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines.
The Core Reporting Team is responsible for powering Klaviyo’s analytics foundation. We deliver scalable, consistent, and trustworthy reporting infrastructure that enables every team at Klaviyo to ship analytics faster - and every customer to understand, trust, and act on their data. The team builds curated and customizable reporting experiences that serve all of Klaviyo’s customers. The team collaborates closely with Product, Design, and cross-functional partners across Klaviyo to ensure that insights are not just observed but operationalized, connecting analytics directly to action.
As an Engineer on the Core Reporting Team, you can expect to be deeply involved in the technical strategy behind how we access, aggregate, and present data at scale across the Klaviyo platform. You'll own projects that contribute to driving adoption and retention of the analytics platform, building the reporting capabilities that are a key reason customers purchase and expand with Klaviyo. You'll work full stack, from the data access and storage layers that power enterprise-grade analytics, to the front-end experiences that make complex data intuitive and actionable. Your tech stack will include Python, TypeScript, React, AWS, and Django.
How You Will Make a Difference
- Deliver reporting capabilities that drive adoption and directly contribute to growth
- Build experiences that close the loop from insight to action, enabling customers to create segments, campaigns, and flows directly from reporting surfaces.
- Develop product-led experiences that make the value of Analytics visible and compelling.
- Work cross-functionally with Product, Design, Data Science, and partner engineering teams to shape the roadmap and technical direction of analytics at Klaviyo
- Have ample opportunities for growth as the team expands its scope across enterprise portfolio analytics, AI-assisted exploration, and agentic integrations
Who You Are
- 2+ years of experience working in a in a full stack capacity
- Proficient in at least one modern programming language (Python or TypeScript/React are a plus)
- Degree or equivalent experience in a software engineering discipline
- Able to communicate well and collaborate effectively across disciplines
- Able to work with others on a team and partner closely with product, design, and data stakeholders
- Able to learn continuously and adapt to a high-growth environment
- Able to stick with and solve difficult problems, particularly around data at scale
- Excited to work at the intersection of data visualization, analytics, and AI. Building experiences that help customers understand and act on their data
- Interested in up-market product challenges, including enterprise-grade reliability, and customization.
Technologies We Use (non-exhaustive)
- Front-end technologies like TypeScript, React, Styled Components, and CSS
- Backend primarily using Django, FastAPI, and Python
- Infrastructure on AWS and Kubernetes
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Klaviyo is growing fast, and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at https://klaviyo.tech.
We love tackling tough engineering problems and look for engineers who specialize in certain areas but are passionate about building, owning, and scaling features end to end — breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies, and work hard to ensure each day is better than the last.
Location:
This position is based in our Boston office, and team members are expected to be onsite at least three days per week.
Our Stack and Culture:
Klaviyo operates a real-time data platform coded in Python, built for massive scale on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines.
Team Overview:
The API team empowers product development teams at Klaviyo to create consistent, reliable, and developer-friendly public and internal APIs by providing robust frameworks, intuitive tools, and expert support.
Areas of ownership include:
-
Public API Framework: Building consistent, reliable, and performant public APIs.
-
Internal API Platform: A standardized platform for building, deploying, and consuming internal APIs to accelerate development and improve reliability.
-
Encoded Objects: Standardized data schema definition and serialization framework ensuring consistency and compatibility across systems.
-
API Rate Limiter: System enforcing request limits to protect API reliability and performance.
Responsibilities:
-
Contribute to the evolution of Klaviyo’s public and internal API platforms.
-
Participate in code reviews, product specifications, and scope definition.
-
Collaborate with product owners and engineering peers to deliver high-quality, scalable solutions.
-
Influence the direction and priorities of the API team.
Required Skills:
-
3–5+ years of experience in software engineering.
-
Experience working with both monolithic and microservices architectures.
-
Experience with CI/CD pipelines.
-
Strong debugging and performance optimization skills.
Team Tech Stack:
Python, Django REST Framework, Django, FastAPI
MySQL / PostgreSQL, DocumentDB, ClickHouse
Redis, Memcached, RabbitMQ / Celery / Apache Pulsar
Preferred Skills:
-
Experience with metaprogramming.
-
Experience with Go.
-
Familiarity with JSON:API.
-
Experience designing and building internal or public APIs.
-
Experience with Service-Oriented Architecture (preferably in Python).
-
Experience working with RESTful applications, APIs, or gRPC.
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
SWE II, Advanced Reporting (Boston, MA Hybrid)
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny.
Klaviyo operates a real-time data analytics platform coded primarily in Python that is built for massive scale. Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines.
The Advanced Reporting Team is responsible for delivering enterprise-grade, AI-powered analytics that help sophisticated brands understand their business, make confident decisions, and take action, all directly inside the Klaviyo platform. The team builds curated and customizable reporting experiences that serve all of Klaviyo’s customers with complex data, multiple channels, and advanced analytical needs. The team collaborates closely with Product, Design, and cross-functional partners across Klaviyo to ensure that insights are not just observed but operationalized, connecting analytics directly to action.
As an Engineer on the Advanced Reporting Team, you can expect to be deeply involved in the technical strategy behind how we access, aggregate, and present data at scale across the Klaviyo platform. You'll own projects that contribute to driving adoption and retention of Marketing Analytics, building the reporting capabilities that are a key reason customers purchase and expand with Klaviyo. You'll work full stack, from the data access and storage layers that power enterprise-grade analytics, to the front-end experiences that make complex data intuitive and actionable. Your tech stack will include Python, TypeScript, React, AWS, and Django.
How You Will Make a Difference
- Deliver advanced reporting capabilities that drive adoption and directly contribute to growth
- Build experiences that close the loop from insight to action, enabling customers to create segments, campaigns, and flows directly from reporting surfaces.
- Develop product-led experiences that make the value of Marketing Analytics visible and compelling.
- Work cross-functionally with Product, Design, Data Science, and partner engineering teams to shape the roadmap and technical direction of analytics at Klaviyo
- Have ample opportunities for growth as the team expands its scope across enterprise portfolio analytics, AI-assisted exploration, and agentic integrations
Who You Are
- 2+ years of experience working in a in a full stack capacity
- Proficient in at least one modern programming language (Python or TypeScript/React are a plus)
- Degree or equivalent experience in a software engineering discipline
- Able to communicate well and collaborate effectively across disciplines
- Able to work with others on a team and partner closely with product, design, and data stakeholders
- Able to learn continuously and adapt to a high-growth environment
- Able to stick with and solve difficult problems, particularly around data at scale
- Excited to work at the intersection of data visualization, analytics, and AI. Building experiences that help customers understand and act on their data
- Interested in up-market product challenges, including enterprise-grade reliability, and customization.
Technologies We Use (non-exhaustive)
- Front-end technologies like TypeScript, React, Styled Components, and CSS
- Backend primarily using Django, FastAPI, and Python
- Infrastructure on AWS and Kubernetes
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Klaviyo is on a mission to build a world-class, AI-first engineering organization. To do this, we’re looking for a Lead Product Manager of Developer Experience who will craft and drive the vision for our internal development environment. In this role, you’ll treat developers as your customers — making their daily workflows faster, safer, and more joyful. Your work will directly impact how quickly and confidently Klaviyo engineers can build, test, and release high-quality products.
In this role, you’ll partner deeply with Engineering leaders across Developer Infra, SRE, and product teams to shape how Klaviyo develops software. Your focus will be on outcomes: enabling faster cycle times, reducing incidents, leveraging AI to automate toil, and making Klaviyo a magnet for top engineering talent. Please note this is a hybrid role and requires 3 days/week in our Boston office. Fully remote candidates will not be considered at this time.
What You’ll Do:
- Set the Vision: Define the product strategy for Klaviyo’s developer environment, aligning to our Need for Speed program — targeting massive improvements in engineering velocity, developer experience, and quality.
- Make Developers Your Customers: Treat Klaviyo engineers as the primary stakeholders. Identify pain points across the PDLC (coding, testing, deployment, maintenance) and prioritize investments that meaningfully improve their productivity and happiness.
- Accelerate with AI: Institutionalize AI as a force multiplier — from autonomous code agents to AI copilots for reviews and testing. Ensure Klaviyo leads in adopting AI-first development practices, reducing friction without compromising safety.
- Deliver Measurable Outcomes: Drive success metrics such as PR throughput, cycle time, change failure rate, developer experience index, and AI tool adoption.
- Champion Quality & Safety: Partner with SRE and QE to ensure reliability and safety are built into every paved path — incidents and defects decrease even as velocity increases.
- Scale for the Future: Guide architecture and tooling choices that will keep Klaviyo’s developer experience sustainable and scalable for years to come.
- Be Data-Driven: Establish instrumentation, run surveys, and analyze metrics to continuously validate impact and adjust based on outcomes, not assumptions.
- Build for Collaboration: Create transparency and open feedback loops with engineers, EMs, and leadership to ensure alignment and adoption of developer tooling and practices.
Who You Are:
- Strategic Builder: You’re an Engineering leader turned Product think or Founder. Or you’ve led product for developer platforms, infrastructure, or tools, with a track record of improving engineering velocity and reliability.
- Developer-Centric Thinker: You deeply empathize with engineers and have experience making their workflows easier, faster, and safer.
- AI-Forward Mindset: You understand the transformative potential of AI in software development and can separate hype from practical value.
- Metrics-Oriented: You are fluent in measuring success via engineering productivity, quality, and reliability metrics (e.g., PR throughput, CFR, incident rates, DevEx indices).
- Influential Collaborator: You can partner with senior engineering leaders (Infra, SRE, QE, product teams) and influence without authority.
- Bias for Action: You thrive in fast-moving environments, balance short-term wins with long-term strategy, and bias toward automation and self-service.
Success in This Role Looks Like:
- Klaviyo engineers feel they can deliver faster, safer, and with higher confidence than ever before.
- AI tools are seamlessly integrated into workflows, with widespread adoption and measurable productivity gains.
- Development cycle times shrink, while incidents, defect escapes, and change failure rates decrease.
- Developers rank Klaviyo’s internal tooling and environment as best-in-class, making it a competitive advantage in attracting and retaining talent.
- The Dev Infra & SRE product strategy is clear, measurable, and directly tied to Klaviyo’s ability to deliver customer value quickly and reliably.
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Klaviyo is on a mission to build a world-class, AI-first engineering organization. To do this, we’re looking for a Lead Product Manager of Developer Experience who will craft and drive the vision for our internal development environment. In this role, you’ll treat developers as your customers — making their daily workflows faster, safer, and more joyful. Your work will directly impact how quickly and confidently Klaviyo engineers can build, test, and release high-quality products.
In this role, you’ll partner deeply with Engineering leaders across Developer Infra, SRE, and product teams to shape how Klaviyo develops software. Your focus will be on outcomes: enabling faster cycle times, reducing incidents, leveraging AI to automate toil, and making Klaviyo a magnet for top engineering talent. Please note this is a hybrid role and requires 3 days/week in our SF office. Fully remote candidates will not be considered at this time.
What You’ll Do:
- Set the Vision: Define the product strategy for Klaviyo’s developer environment, aligning to our Need for Speed program — targeting massive improvements in engineering velocity, developer experience, and quality.
- Make Developers Your Customers: Treat Klaviyo engineers as the primary stakeholders. Identify pain points across the PDLC (coding, testing, deployment, maintenance) and prioritize investments that meaningfully improve their productivity and happiness.
- Accelerate with AI: Institutionalize AI as a force multiplier — from autonomous code agents to AI copilots for reviews and testing. Ensure Klaviyo leads in adopting AI-first development practices, reducing friction without compromising safety.
- Deliver Measurable Outcomes: Drive success metrics such as PR throughput, cycle time, change failure rate, developer experience index, and AI tool adoption.
- Champion Quality & Safety: Partner with SRE and QE to ensure reliability and safety are built into every paved path — incidents and defects decrease even as velocity increases.
- Scale for the Future: Guide architecture and tooling choices that will keep Klaviyo’s developer experience sustainable and scalable for years to come.
- Be Data-Driven: Establish instrumentation, run surveys, and analyze metrics to continuously validate impact and adjust based on outcomes, not assumptions.
- Build for Collaboration: Create transparency and open feedback loops with engineers, EMs, and leadership to ensure alignment and adoption of developer tooling and practices.
Who You Are:
- Strategic Builder: You’re an Engineering leader turned Product think or Founder. Or you’ve led product for developer platforms, infrastructure, or tools, with a track record of improving engineering velocity and reliability.
- Developer-Centric Thinker: You deeply empathize with engineers and have experience making their workflows easier, faster, and safer.
- AI-Forward Mindset: You understand the transformative potential of AI in software development and can separate hype from practical value.
- Metrics-Oriented: You are fluent in measuring success via engineering productivity, quality, and reliability metrics (e.g., PR throughput, CFR, incident rates, DevEx indices).
- Influential Collaborator: You can partner with senior engineering leaders (Infra, SRE, QE, product teams) and influence without authority.
- Bias for Action: You thrive in fast-moving environments, balance short-term wins with long-term strategy, and bias toward automation and self-service.
Success in This Role Looks Like:
- Klaviyo engineers feel they can deliver faster, safer, and with higher confidence than ever before.
- AI tools are seamlessly integrated into workflows, with widespread adoption and measurable productivity gains.
- Development cycle times shrink, while incidents, defect escapes, and change failure rates decrease.
- Developers rank Klaviyo’s internal tooling and environment as best-in-class, making it a competitive advantage in attracting and retaining talent.
- The Dev Infra & SRE product strategy is clear, measurable, and directly tied to Klaviyo’s ability to deliver customer value quickly and reliably.
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Why You Should Join the Mobile Channels Team:
The Mobile Channels team at Klaviyo powers text messaging across Klaviyo's platform — SMS, RCS, WhatsApp, and a growing set of future text messaging channels. As brands increasingly rely on mobile to reach their customers, our team builds the infrastructure that makes high-throughput, reliable delivery possible across a complex, multi-channel landscape. We own the systems that connect Klaviyo customers to their audiences through the fastest and most personal communication channels available.
As a Lead Software Engineer on the Mobile Channels team, you'll provide technical leadership to a group of engineers building and scaling the services that power Klaviyo's mobile messaging pipeline end-to-end. You'll drive technical strategy, own critical components of the delivery infrastructure, and help the team navigate the unique challenges of multi-channel compliance, carrier regulations, provider integrations, and global deliverability. This is a hands-on technical leadership role where you'll contribute to architecture, code, and mentorship while shaping the future of mobile messaging at Klaviyo.
If you're excited about building systems that deliver millions of messages across channels with speed and reliability — and leading a team at the center of one of Klaviyo's fastest-growing product areas — Mobile Channels is the place to do it.
How You Will Make a Difference:
- Lead a team of engineers building and scaling Klaviyo's mobile messaging infrastructure across SMS, RCS, WhatsApp, and future channels
- Own and drive the architecture of key components in the mobile messaging pipeline — from message ingestion and routing to provider delivery and status tracking
- Design and implement scalable, high-throughput services in Python and Go
- Build systems that ensure reliable delivery at scale while managing carrier compliance, opt-in/opt-out requirements, throughput limits, and international messaging regulations
- Contribute directly to architecture and code, driving best practices and quality
- Collaborate cross-functionally with product, deliverability, compliance, and platform teams to expand mobile channel capabilities
- Grow and mentor engineers while helping shape the future of mobile messaging at Klaviyo
- Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up
Who You Are:
- 8+ years of engineering experience with strong backend and systems design skills
- Proficient in Python and/or Go and be able to rapidly learn the other
- Comfortable coding and reviewing complex systems — this is a hands-on role
- Experienced working with high-throughput distributed systems
- Skilled in system design and scaling infrastructure using AWS
- Strong business and product mindset — you think beyond the code to understand customer impact and commercial value
- Able to bring clarity to ambiguous requirements, breaking down undefined problems into actionable plans
- Self-led and driven to deliver incrementally — you ship value early and iterate
- Bonus: Experience with SMS/MMS infrastructure, RCS, WhatsApp Business API, carrier integrations, telecom APIs, or messaging compliance
- Clear communicator and collaborative team player
- Able to thrive in a hybrid team and deliver in a high-autonomy environment
- You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.
Technologies We Use:
- Python, Go
- AWS, Terraform, DynamoDB, Redis, SQL
- Kafka
Location:
This is a hybrid role based in Boston, with 3 days in office and 2 days remote per week.
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Why You Should Join the Mobile Channels Team:
The Mobile Channels team at Klaviyo powers text messaging across Klaviyo's platform — SMS, RCS, WhatsApp, and a growing set of future text messaging channels. Mobile is one of Klaviyo's fastest-growing product areas: as brands shift more of their owned-channel investment to mobile, our team builds the infrastructure that makes high-throughput, reliable delivery possible across a complex, multi-channel landscape. We own the systems that connect Klaviyo customers to their audiences through the fastest and most personal communication channels available — at scale, across geographies, and against a constantly evolving set of carrier, regulatory, and provider constraints.
As a Senior Lead Software Engineer on the Mobile Channels team, you'll be the technical area lead for Mobile Channels — driving architecture and technical direction across the SMS, RCS, and WhatsApp teams, and the new channels we'll add next. You'll define the cross-team technical roadmap for the pillar, own the architectural patterns that bind the channels together (ingestion, routing, provider integration, status tracking, compliance automation, deliverability), and lead the most complex, multi-team initiatives end-to-end. This is a hands-on technical leadership role: you'll contribute to architecture and code, lead design reviews, mentor Lead and Senior engineers across multiple teams, and partner closely with Engineering Managers to keep our systems healthy as the surface area grows.
If you're excited about being the senior IC who connects the technical strategy across an entire multi-channel messaging pillar — and doing it at one of Klaviyo's highest-growth product areas — Mobile Channels is the place to do it.
How You Will Make a Difference:
- Technical Strategy & Roadmap: Define and drive the cross-team technical roadmap for Mobile Channels, aligning architectural direction across SMS, RCS, WhatsApp, and emerging channels with company priorities and the broader Messaging Infrastructure strategy.
- Multi-Team Architecture: Own the architectural patterns that span the pillar — message ingestion and routing, provider integration, status tracking, deliverability, opt-in/opt-out and compliance automation, multi-region readiness — and embed them into team roadmaps, not just documents.
- Hands-On Technical Leadership: Stay in the code. Drive architecture and design across teams, lead high-stakes design reviews, build prototypes and reference implementations to de-risk decisions, and ship meaningful contributions yourself.
- Reliability & Scale: Raise the bar on reliability across Mobile Channels — drive systemic fixes for recurring incidents, lead deep dives on the highest-impact production issues, and embed stronger guardrails (end-to-end testing in CI, readiness gates, observability standards) into how the teams ship.
- Cross-Functional & Cross-Pillar Collaboration: Partner with Engineering Managers, Product, Deliverability, Compliance, and Platform leadership to sequence cross-team work realistically. Build durable peer relationships with senior technical leaders across Klaviyo's other engineering pillars to drive company-wide technical objectives that span multiple pillars — bringing the Mobile Channels perspective to those forums, and connecting our roadmap to the broader engineering strategy.
- AI-Forward Engineering: Put AI at the center of how the teams build and how the systems run — model AI-fluent engineering practices yourself, and drive concrete improvements to operational and developer workflows (anomaly detection, synthetic load, runbook automation) across the teams.
- Mentorship: Mentor other engineers regularly, primarily experienced lead and senior engineers across SMS, RCS, and WhatsApp, and represent Mobile Channels' technical bar in senior hiring.
- Continuous Improvement: Stay current with how the messaging ecosystem and engineering craft are evolving — new channels, carrier and regulatory shifts, AI tooling, performance and reliability practices — and translate that into concrete, sequenced improvements for the teams.
Who You Are:
- Experience: 12+ years of software engineering experience with a strong track record building and scaling distributed backend systems. Prior time as a Lead, Staff, or Principal engineer driving technical direction across multiple teams.
- Hands-On Technical Depth: Proficient in Python and/or Go, and able to rapidly learn the other. Comfortable coding, reviewing, and debugging complex systems — this is a hands-on role.
- Distributed Systems Expertise: Deep experience with high-throughput, event-driven, distributed architectures — ingestion pipelines, async processing, stateful workloads, eventing patterns, multi-region/data-locality concerns, and the failure modes that come with all of it.
- Architectural & Strategic Skills: Demonstrated ability to define technical strategy and drive cross-team architectural decisions in ambiguous, high-stakes environments — and to commit to a call even when there's disagreement, backed by data and prototypes.
- Cloud & Platform: Strong experience with AWS at scale; comfortable with Infrastructure as Code (Terraform), containerization, and modern observability stacks (metrics, logs, traces, SLI/SLO design).
- Business & Product Mindset: You think beyond the code — you understand customer impact, commercial value, and the cost-vs-conversion tradeoffs that come with mobile messaging — and you bring that mindset into architectural decisions.
- Influence & Communication: Exceptional communicator; can articulate complex technical concepts to engineers, product leaders, and executives, and can rally multiple teams toward sequenced, realistic improvements.
- AI Enthusiast: You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work — and the systems you build — smarter and more efficient.
- Collaborative & Self-Led: Strong cross-functional partner; thrives in a hybrid team and high-autonomy environment; ships value early and iterates.
Nice to Have:
- Experience with the SMS, RCS, or WhatsApp ecosystems, including channel-specific protocols, opt-in/opt-out semantics, and familiarity with key 3rd-party entities (carriers, providers, regulators) and compliance rules and best practices.
- Background in performance optimization and a passion for digging into performance, scalability, and reliability issues to drive breakthrough solutions across distributed systems.
- Experience with multi-region deployments, data residency, and large-scale data or service migrations with minimal downtime.
- Familiarity with complex data management for testing, including large datasets and production-like data replication.
Technologies We Use:
- Python, Go
- AWS, Terraform, DynamoDB, Redis, SQL
- Kafka
Location:
This is a hybrid role based in Boston, with 3 days in office and 2 days remote per week.
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
Design Verification Engineer, Intern
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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
At Tenstorrent, we believe the future of computing must be open, which is why our interns don’t just watch from the sidelines – they help build the core of it. We provide a "code-to-career" pipeline where students collaborate with industry experts to solve high-stakes problems in RISC-V and AI hardware-software co-design. By joining us, you are taking an internship to democratize high-performance computers that are accessible to everyone.
As a Design Verification Engineer Intern on the SoC Digital Verification team, you will help ensure the functional correctness and robustness of Tenstorrent’s next-generation RISC‑V and AI accelerator SoCs. You will work on building and improving modern verification environments, developing tests and checkers, and analyzing coverage to sign off complex digital IP and subsystems. Your work directly contributes to the reliability of the chips that power our AI and high‑performance computing roadmap.
We are looking for a minimum of 3 months for this role with the potential for extension to 6 months.
This role is hybrid, based in our Boston, MA office.
Who you are
- Pursuing a B.S. , M.S. or PhD. in Electrical Engineering, Computer Engineering, Computer Science, or a related field with a focus on digital design and verification.
- Strong understanding of digital logic design and computer architecture (pipelines, caches, interconnects, memory systems).
- Familiar with HDLs such as Verilog/SystemVerilog, and interested in learning Formal verification, Cocotb, and UVM‑based verification methodologies.
- Comfortable working in Linux-based development environments and using scripting languages (e.g., Python, Shell, Perl) to automate tasks.
- Detail-oriented problem solver who enjoys debugging complex issues, reasoning about corner cases, and working from specifications.
- Collaborative team member with clear communication skills, able to document work and discuss trade‑offs with RTL, architecture, and validation teams.
What We Need
- Help develop and maintain SystemVerilog/UVM testbenches for SoC IP blocks and subsystems, including stimulus, checkers, and scoreboards.
- Write and refine verification test plans from architectural and micro‑architectural specifications, with a strong focus on corner cases and coverage.
- Develop constrained‑random and directed tests, run regressions, and triage failures by working closely with RTL designers to root-cause issues.
- Analyze functional and code coverage results, identify gaps, and propose additional tests or checks to drive coverage closure.
- Contribute to automation and infrastructure (scripts, Makefiles, CI hooks, dashboards) that improve verification productivity and debug turnaround time.
- Partner with cross‑functional teams (architecture, design, performance, validation) to align on expected behavior and sign‑off criteria for silicon.
- Have impact measured through coverage metrics achieved, quality and reproducibility of bugs found, and robustness of the verification environment you help build.
What You Will Learn
- End‑to‑end SoC design and verification flow for cutting‑edge RISC‑V and AI accelerator architectures.
- Industry‑standard verification methodologies (SystemVerilog/UVM), including testbench architecture, stimulus generation, and scoreboard/checker design.
- Hands-on experience with simulation, regression, and coverage tools used in large‑scale industrial verification environments.
- How to read and interpret hardware specifications, micro‑architecture documents, and timing diagrams, and translate them into actionable tests and assertions.
- Exposure to high‑performance interconnects, memory controllers, and accelerators, and how they are verified at IP, subsystem, and SoC levels.
- Best practices for collaborating in a silicon development team, including code review, documentation, and cross‑site communication.
USA Hiring Timelines
This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:
- Winter Term: Jan–Apr work term, Sept–Dec recruit.
- Summer Term: May–Aug work term, Oct–Apr recruit.
- Fall Term: Sept–Dec work term, Jan–Aug recruit.
Please note these timelines are for reference only. Actual timelines may vary.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Ready to apply?
Apply to Tenstorrent University Jobs
We're a new team building AI-assisted product experiences that help Datadog customers go from investigation to action, by enabling conversational workflows, guided remediations, and codefixes that address the root cause of production issues.
We're looking for a product-minded engineer to help us quickly define and ship applied AI experiences across chat, remediations, and codefixes. This role sits at the intersection of backend engineering, product development, and prompt engineering, with a strong emphasis on building reliable, production-quality AI systems.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You'll Do:
- Work closely with product managers, designers, and engineers to build and iterate on AI-powered product experiences in Bits AI SRE.
- Develop customer-facing systems across chat, remediations, and codefixes that help users resolve production issues more quickly.
- Work on prompts, evaluation loops, and backend systems to make applied AI workflows reliable, useful, and production-ready.
- Prototype quickly, test what works in the real world, and iterate rapidly to ship new product capabilities.
- Build the infrastructure and product logic needed to connect AI outputs to meaningful actions, including operational remediations and generated code changes.
- Collaborate with partner teams across Datadog to expand remediation capabilities and integrate with systems that support investigation, automation, and code generation.
- Follow the latest developments in LLM prompting, agent design, and applied AI product development, and bring strong judgment about what is practical to use in production.
Who You Are:
- You're an engineer with at least 5 years of professional experience, with strong backend engineering skills and a product mindset. You have experience building production systems in Go (or similar) and have worked with LLM-based systems in practice.
- You are excited about applied AI and motivated by building product experiences that help users take meaningful action, not just generate insights.
- You have experience with prompt engineering, evaluation, and iteration for LLM-powered systems, and know how to improve quality through experimentation and feedback.
- You have strong engineering fundamentals and can build the systems needed to productionize AI features, including integrating model behavior into reliable user-facing products.
- You are comfortable operating in a fast-moving environment with high ambiguity, and enjoy prototyping, learning quickly, and shipping early versions of new ideas.
- You collaborate well with cross-functional partners and can work effectively with product, design, and engineering to shape both the user experience and the technical implementation.
- You care about product quality and user outcomes, and can balance speed with pragmatism when building new AI-powered workflows.
- Bonus: you have experience with Kubernetes or systems related to production remediation and operational automation.
- Requirement - Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
- Plus - You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.
- Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development.
- Have a lot of influence on product direction and impact on the business.
- Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn.
- Competitive global benefits.
- Continuous professional development.
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
To conform to US export control regulations, candidates should be eligible for any required authorizations from the US government. This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government.
#LI-Hybrid
Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
Product Engineering - Future Opportunities
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Who is Tenable?
Tenable® is the Exposure Management company. 44,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 45 percent of the Global 2000, and large government agencies. Come be part of our journey!
What makes Tenable such a great place to work?
Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
If you are interested in a position in Engineering but don't see what you are looking for, please send us your resume. We will keep it on file and reach out when we find a match.
Tenable's Engineering Department is the company's heartbeat. Our scrum teams work in locations around the globe, building architectures and developing code for our innovative products, fulfilling SRE and DevOps roles, providing testing and QA services -- insuring that Tenable brings it's best to the market every day!
Positions in Engineering generally require a background in Computer Science, Software Engineering (or similar) and some experience working in an agile, team focused organization.
In the United States, we typically hire in one of our hub locations - Columbia, MD; Boston, MA; and the San Francisco, CA Bay Area. Globally, Engineers are hired in Dublin, Ireland; Tel Aviv, Israel; and Paris, France. Some positions require a hybrid work schedule (2 days a week in the office) and others are fully remote. Required location(s) are posted for each individual opening.
#LI-DNI
We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance.
Tenable Data Consent Statement
Tenable is committed to protecting the privacy and security of your personal data. This Notice describes how we collect and use your personal data during and after your working relationship with us, in accordance with the General Data Protection Regulation (“GDPR”). Please click here to review.
For California Residents: The California Consumer Privacy Act (CCPA) requires that Tenable advise you of certain rights related to the collection of your private information. Please click here to review.
Ready to apply?
Apply to Tenable, Inc.
Senior Full-Stack Engineer II - AI/ML
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Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
Senior Full-Stack Engineer II - AI/MLDo the best work of your career at DigitalOcean. Join a high‐caliber community building the simplest, most scalable cloud on the market. If you think big, move fast, and thrive in a bold, high‐growth environment, you’ll fit right in. We win together—learning, having fun, and delivering real impact for the dreamers and builders we serve.We’re hiring a Senior Full-Stack Engineer to build end‐to‐end features that make accelerated compute simple and accessible for everyone.The AI Application Platform team builds AI and agentic applications across modalities—LLMs, images, audio, and video—on top of DigitalOcean’s high‐performance inference engine. Our mission is to keep the latest state‐of‐the‐art models available at peak performance. We’re moving fast to build the next generation of AI applications and platform workflows at DigitalOcean.
What You’ll Be Doing:
- Own a technical area by providing technical leadership for a teamDrive large cross-functional projects independently to completion
- Work primarily in Python, and Go to build and scale AI application services such as ADK, agentic tools
- Maintain and develop APIs, MCPs and SDKs
- Collaborate on design and UXBuild and scale products to achieve operational excellenceIndependently ship product features from planning to launch to maintenance with high autonomy
- Partner with SRE/DevOps on reliability, observability, incident response, and deployment workflows
- Collaborate with other engineers to find elegant architectures and solutions
What You’ll Add to DigitalOcean:
- Own a technical area by providing technical leadership for a team
- Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, tracing, insights, language modeling, computer vision)
- Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
- 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
- Demonstrated design and UX sensibilities, especially for technical teamsKnowledge of API standards including REST, Python, or GoDesign of cloud ready systems and architectures.
Compensation Range:
- $184,000 - $231,000
*This is a remote role
JR: 2026-7617
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
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Senior Product Solutions Architect - Logs
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We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.
The Logs family of products represents a strategic evolution in how organizations manage and analyze logs at scale while meeting stringent data residency, compliance, and cost requirements. The Product Solutions Architect (PSA) will work closely with Datadog customers, Logs Product team, and the CloudPrem product team to architect, implement best practices, and drive adoption of the log management suite.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:
- Serve as the Product Expert on Logs, CloudPrem, and Observability Pipelines
- Offer guidance on architecture choices, data collection, and best practices to large Enterprise customers as they adopt these Datadog services across the organization at scale
- Design and validate hands-on, production-ready architectures spanning cloud infrastructure, Kubernetes platforms, and customer-managed environments
- Actively identify opportunities to simplify, optimize, and standardize deployment patterns, reducing operational complexity for customers through architectural guidance and best practices.
- Be a Trusted Advisor to Product Management by providing high quality feedback based on your field experience working closely with our Support, Partners, and Customers
- Capture repeat customer use cases and solutions and in turn publish Reference Architectures, automation patterns, and Implementation Guides for Datadog prospect and customer consumption
- Build world class training material, solutions briefs, blogs, and documentation to the wider Datadog field technical teams over the latest product features and capabilities
- Collaborate with other teams at Datadog including Marketing, Sales, Community, Documentation, and Evangelism to ensure the success of the Log Management product family
- Exercise the products you represent by building hands-on proof of concepts, small scale deployments to validate solutions and reproduce customer environments
- Engage deeply with customers, feeling their operational pain points and driving solutions that measurably improve reliability, scalability, and day-to-day operations
Who You Are:
- Someone with strong hands-on experience with tools such as Kubernetes, including cluster architecture, networking, storage, and operational best practices.
- Someone with strong knowledge of cloud infrastructure fundamentals, including networking, compute, storage, and distributed system design.
- Someone familiar with Security, Governance, and Compliance requirements for industry verticals
- Someone who can dive deep into our Codebase, SDKs, and GitHub workflows to understand, debug, and influence product behavior
- Experience with languages like Python and/or Rust, and file formats such as JSON and YAML
- A self-starter, tech-savvy professional, who is comfortable working with bleeding edge technology and processes, even if it hasn’t been well defined
- A deep learner and a Subject Matter Expert today that has built advocacy and knowledge across multiple teams with the knowledge you possess
- Fluent in understanding the observability market domain, competition, technological shifts, and customer needs
- Someone who values getting things done, taking ownership from problem definition through implementation and outcome
- Highly detail-oriented, especially when working on architectures, documentation, and customer-facing solutions
- A person who possesses exceptional listening and consultative skills, for both internal and external audiences
- Experienced working with customers in high pressure situations where the solution is sometimes not obvious - caring about customer pain and motivated to solve hard problems on their behalf
- Able to sit up to 4 hours, traveling to and from client sites
- Able to travel via auto, train, or air up to 40% of the time
Bonus Points:
- Successful track record with 5+ years experience working as an Architect or Consultant
- Experience using Datadog and/or other observability tools in an SRE or DevOps capacity
- Have recent experience deploying solutions in production environments at scale
- Strong knowledge or experience with Splunk, Elastic, Opensearch, SumoLogic, Vector, Cribl, Quickwit
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- Best-in-breed onboarding
- Generous global benefits
- Intra-departmental mentor and buddy program for in-house networking
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- An inclusive company culture, able to join our Community Guilds and Inclusion Talks
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
Product Solutions Architect - LLM Observability
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The Product Solutions Architecture (PSA) team acts as a technical multiplier across Datadog. PSAs are domain experts who partner with Field teams on complex customer use cases across pre- and post-sales engagements and scale their impact by producing reusable collateral, including reference architectures, technical guides, and enablement assets. By feeding real-world customer insights back to Datadog Product teams, PSAs help influence product roadmaps while accelerating adoption, usage, and long-term customer success.
Datadog’s LLM Observability product enables organizations to monitor, troubleshoot, and optimize large-scale LLM-powered applications with confidence, while meeting requirements around data privacy, compliance, and cost management. As a Product Solutions Architect, you will partner closely with Datadog customers and the LLM Observability product team to design architectures, implement best practices, and drive adoption of LLM observability across customer environments.
At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:
- Serve as the in-house subject matter expert for Datadog’s LLM Observability product
- Partner with Field teams to provide hands-on technical and architectural guidance to enterprise customers adopting LLM Observability
- Create high-impact technical collateral, including reference architectures, technical guides, cookbooks, and documentation to enable Field teams and the broader customer community
- Build proofs of concept and small-scale deployments to validate solutions and reproduce real-world customer environments
- Act as a trusted advisor to Product Management by delivering actionable feedback informed by real-world field experience
Who You Are:
- You bring a strong software engineering foundation, with hands-on experience building and operating LLM-powered applications in production environments, and are comfortable diving deep into codebases to understand architectural decisions, tradeoffs, and implementation details
- You are familiar with distributed systems and core observability concepts, such as tracing, metrics, and logging, and can translate those patterns into the emerging LLM observability domain, including LLM spans, evaluations, and prompt templates
- You have experience with languages such as Python and/or JavaScript/TypeScript
- You are comfortable operating in rapidly evolving, ambiguous technical domains
- You build deep context across teams and translate it into reusable, scalable solutions
- You take ownership from problem definition through implementation and measurable outcomes
- You are highly detail-oriented, particularly when working on architectures and customer-facing technical assets
- You bring strong listening and consultative skills and are experienced supporting customers in high-pressure, complex situations
- Able to sit up to 4 hours, traveling to and from client sites
- Able to travel via auto, train, or air up to 40% of the time
Bonus Points:
- Successful track record with 5+ years experience working as an Architect or Consultant
- Experience using Datadog and/or other observability tools in an SRE or DevOps capacity
- Experience with LLM application evaluation and testing frameworks
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- Best-in-breed onboarding
- Generous global benefits
- Intra-departmental mentor and buddy program for in-house networking
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- An inclusive company culture, able to join our Community Guilds and Inclusion Talks
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
Datadog’s CodeGen team builds systems that use AI to read, understand, generate, and safely change real code — powering automated fixes, CI/PR automation, agentic remediation, and Infrastructure-as-Code workflows. The team ties code understanding to observability so assistants can explain problems and produce safe, auditable code changes.
We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.
We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:
- Lead a team of engineers responsible for building production systems that enable code understanding and automated code changes — from parsers and telemetry ingestion to model serving, evaluation, and PR automation.
- Drive technical direction and execution: set a clear roadmap, prioritize work, remove blockers, and raise quality and reliability bar for codegen features (safety, correctness, performance).
- Partner with product, applied research, infra/SRE, security, and other engineering teams to ship end-to-end experiences that safely apply model outputs (PRs, CI checks, automated apply flows).
- Build and maintain robust evaluation and monitoring pipelines (offline and online) to measure model quality, drift, and downstream correctness of code changes.
- Own hiring, performance development, 1:1s, and career growth for your reports; grow a high-performing, inclusive team.
- Be accountable for production readiness: on-call expectations, postmortems, SLIs/SLOs, and operational playbooks for codegen services.
- Maintain engineering rigor around data pipelines, model inputs, determinism, reproducibility, and reproducible CI/CD for model + infra changes.
Who You Are:
- Proven experience in software engineering and applied science, with a focus on engineering LLM-based systems in production
- Demonstrated experience managing small teams of software engineers and/or applied scientists, with a track record of delivering high-quality products
- Strong software development skills and proficiency in Python and Go
- Strong understanding of machine learning theory, statistics, and fundamentals
- Excellent communication abilities to convey complex technical concepts clearly
- A collaborative mindset and proven experience in working in cross-functional teams
- A proactive approach with a passion for continuous learning and innovation
- Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
- You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits & Growth:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We’ve built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We are building state-of-the-art AI and machine learning technologies at Klaviyo to power marketing agent, service agent, and personalization products such as smart send time, audience optimization and product recommendations.
As a Machine Learning Platform Engineering Manager, you will lead a team of engineers building the core platforms, tools, and infrastructure that ML and AI engineers rely on to create advanced agents and models powering Klaviyo’s products. Your team will own platforms for training and deploying models and scaling systems that must operate reliably at Klaviyo’s data and traffic scale.
This is a backend-heavy, hands-on technical leadership role. You will manage and grow engineers, shape the technical roadmap for ML Platform, and collaborate closely with product, ML, data science, and infrastructure partners to deliver durable, high-leverage platforms that accelerate AI development across Klaviyo.
This role is hybrid and based in Boston.
How You’ll Make an Impact
- Enable AI / ML teams across Klaviyo to ship new models and ML-powered features faster, more safely, and more reliably.
- Evolve our ML and LLM platform architecture so teams can build, evaluate, and operate production ML systems with consistent patterns and best practices.
- Improve reliability, observability, and cost efficiency of ML training, inference, and other ML workloads that serve features like smart send time, audience optimization and product recommendations.
- Raise the bar on engineering and operational excellence for systems that support 167K+ customers and billions of events.
- Build and grow a high-performing, inclusive engineering team that operates with ownership, curiosity, and strong customer focus.
What You’ll Do
- Lead, coach, and grow a team of software / ML platform engineers (typically 6–10+ direct reports).
- Set clear goals, provide regular feedback, and support career development aligned with Klaviyo’s Engineering Career Architecture.
- Stay hands-on with the technology: participate in design reviews, code reviews, and occasionally ship code for critical paths or prototypes.
- Partner with product and technical leaders to define and evolve the ML Platform strategy and roadmap, balancing short-term delivery with long-term platform investments.
Learn more about the team’s work in our blogs on Ray Jobs & Ray Tune.
Who You Are
We encourage candidates to apply even if they do not meet all the qualifications listed. ML Platform and MLOps are rapidly evolving spaces and we are all constantly learning.
- 7+ years of experience as a software engineer, ML platform engineer, or similar, building backend or distributed systems.
- 2+ years of experience in a formal people leadership role
- Demonstrated experience launching and operating AI/ML systems in production at scale
- Strong proficiency in Python (or a similar backend language such as Go, Java, or Scala).
- Experience with cloud infrastructure and platform fundamentals (AWS, kubernetes):
- Familiarity with data-intensive systems: streaming or batch processing, data modeling, and designing systems with large-scale data in mind (spark, ray-data).
- Comfortable collaborating with cross-functional technical partners (ML, product, infra, security).
- Strong communication skills and a track record of driving clarity and alignment across teams.
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
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Automation Engineer 2, Automation Support Applications
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Our mission is to make biology easier to engineer. Ginkgo is constructing, editing, and redesigning the living world in order to answer the globe’s growing challenges in health, energy, food, materials, and more. Our bioengineers make use of an in-house automated foundry for designing and building new organisms.
Job Title: Automation Engineer 2, Support Applications Engineering
The Automation BU is growing with a new mandate of external sales and support. A primary differentiator of our offering is Managed Automation Services (MAS), which involves our SAE team actively monitoring deployed RAC systems and remotely recovering within a short Service Level Agreement (SLA). All members of this team must be highly trained with lab automation instrumentation in addition to being the global experts on our own scheduling and control software and our integration hardware. The members of this team are monitoring all deployed RAC systems and rapidly responding to errors, in addition to working on continuous improvement projects across the RAC tech stack.
As a member of the Automation Support Applications Engineering team, you are at the intersection of technology development, deployment to the customer site and continual support of the deployed technology. Your goal is to understand and translate the needs of the customer and to work alongside Automation Scientists, Software Engineers, and Mechatronics Engineers to turn a scoped integrated automation system into a real, production-ready system. Additionally, your goal is to ensure the customer maintains system uptime and operational throughput. This role requires strong attention to detail, collaborative communication and project management skills to excel.
This is a unique role within the Support Apps Engineering Team in that it will be the first member of an overnight shift and will require you to be onsite, alone for several hours. The person who fills this position will need to be self-motivated, work independently, and yet still be part of a team. You will be the primary owner of our Autonomous Lab for the hours you work, including troubleshooting errors, performing instrument maintenance, and addressing user tickets.
To learn more about automation engineering at Ginkgo, take a look at our website: Ginkgo Automation
Responsibilities:
- Primary owner of Ginkgo’s Autonomous Lab during overnight hours - recover from errors, perform instrument maintenance, address user tickets
- Execute or guide remote recovery efforts with customers, diagnosing root causes and executing corrective actions for instrument or integration level failures.
- Lead root-cause investigations for complex software-hardware integration failures – synthesize findings and choose corrective actions that improve time between failures and overall reliability.
- Develop and validate automation scripts / configuration templates that standardize installs and reduce manual effort across the Deployment team.
- Create and continuously refine end-to-end deployment playbooks from initial setup and configuration of our automation products, factory acceptance testing (FAT), and site acceptance testing (SAT).
- Author and own SOPs, troubleshooting guides, and training material to keep documentation compliant and accessible as a single source of truth.
Perform and periodically audit the recurring PM program, ensuring tasks, frequencies, and parts lists meet reliability goals; train and certify customer operators and technicians on execution
Minimum Requirements:
- Bachelor’s degree in Engineering, Life Sciences, or a related technical field, and 4–7 years of relevant experience in laboratory automation, systems integration, or related technical work; or an equivalent combination of education and progressively responsible, hands-on experience (typically 6+ years total) that demonstrates the same level of knowledge and ability.
- Proactive problem-solving mindset and the ability to adapt in fast-paced environments.
- Customer-focused approach, balancing customer needs while considering technical feasibility.
- Strong interpersonal and teamwork skills; ability to convey concepts and priorities, as well as an ability to solicit and/or accept feedback.
- Self-motivated and capable of managing time and tasks with minimal supervision.
- Occasional travel to customer sites for 1-2 weeks to conduct SAT (less than 10% total time).
- Ability to bend, reach, and lift, push, or pull up to 25lbs. Ability to stand or walk for long periods of time. Repetitive action may be required while performing tasks.
On-site presence required 5 days/week (Boston, MA), strong communication skills, with the ability to clearly explain technical concepts to both technical and non-technical audiences. This position will follow a graveyard shift schedule (10PM-6AM, five days per week).
Preferred Capabilities and Experience:
We do not expect that any one candidate will have all of the following capabilities - each is independently a preferred or “nice-to-have” capability.
- Experience in a customer-facing role with an explicit Service Level Agreement (SLA)
- Experience in operating, troubleshooting, or maintaining laboratory automation equipment or other complex automated machinery.
- Experience in the Life Science industry, ideally in a lab or research setting. Proven track record of working in high-stakes environments, contributing to significant scientific advancements and operational improvements.
- Experience in workflow/process scheduling software or interacting with multi-device systems. Expertise in managing complex workflows and integrating multiple devices to optimize laboratory processes and enhance productivity.
The base salary range for this role is $85,600.00-$120,200.00. Actual pay within this range will depend on a candidate's skills, expertise, and experience. We also offer company stock awards, a comprehensive benefits package including medical, dental & vision coverage, health spending accounts, voluntary benefits, leave of absence policies, 401(k) program with employer contribution, 8 paid holidays in addition to a full-week winter shutdown and unlimited Paid Time Off policy.
Ginkgo has implemented a return to office policy effective October 1, 2025 with required in-office days 3x per week on Tuesday, Wednesday, Thursday. Some teams may require to be onsite 4-5 days per week and this will be discussed as part of the interview process. This policy applies to all employees who live within 50 miles of Ginkgo’s offices in Boston, MA, Emeryville, CA and West Sacramento, CA.
Ready to apply?
Apply to Ginkgo Bioworks Inc.
Staff Site Reliability Engineer
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Join Axon and be a Force for Good.
At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.
Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.
Your Impact
You are a Staff Site Reliability Engineer who will help define how Axon builds and operates its core platforms, with a primary focus on Zero Touch, our controlled, compliant execution framework, and the identity and security foundations that sit around it. Rather than manually provisioning infrastructure or running tickets, you design and build the platforms, tooling, and guardrails that enable hundreds of engineers to operate safely and efficiently at scale.
You bring a strong background in infrastructure and platform engineering, deep experience with distributed systems, and a bias toward automation, self-service, and policy-by-default. You think in terms of APIs, workflows, and golden paths, not servers and scripts. You care as much about security, identity, and auditability as you do about latency and error budgets, and you are comfortable working in highly regulated environments where correctness, traceability, and least privilege are non‑negotiable.
This role is highly cross‑functional. You will collaborate with staff and senior engineers across product and platform teams to shape how we build, deploy, secure, and operate Axon’s cloud systems in a modern, AI‑driven environment.
Location - This role is based out of our Boston office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.
What You’ll Do
- Drive the Zero Touch platform
- Lead the design and implementation of Zero Touch, Axon’s controlled, compliant execution framework for operational and change workflows.
- Define opinionated workflows, APIs, and abstractions that allow engineers to execute infrastructure and application changes safely, repeatably, and with strong guardrails.
- Embed policy‑as‑code, approvals, and audit trails into the framework so that compliance requirements are enforced by default, not as an afterthought.
- Drive identity and security posture improvements
- Partner with Identity, Security, and Platform teams to design secure patterns for authentication, authorization, and workload identity across cloud platforms.
- Define and standardize how services integrate with SSO/OIDC, RBAC, secrets management, certificate management, and key management so that platform workflows and APIs are identity‑aware and least‑privilege by design.
- Improve Axon’s overall security posture by building primitives (e.g., policy engines, IAM baselines, secure-by-default templates) that can be reused across teams.
- Join Forces on our dual‑cloud infrastructure modernization
- Design and build dual‑cloud infrastructure abstractions (e.g., Terraform/CDK modules, platform services, deployment patterns) that allow Axon to run workloads consistently across providers while respecting regional and regulatory constraints.
- Align these workflows with our dual‑cloud strategy so that multi‑region and multi‑cloud operations, failover, and rollout patterns are safe and repeatable.
- Build platform abstractions that reduce operational burden
- Design scalable, multi‑tenant platform services (e.g., deployment pipelines, runtime execution environments, policy engines, observability primitives) that turn recurring operational work into reusable capabilities.
- Define clear golden paths and reference implementations for common patterns (e.g., service onboarding, change rollout, incident response automation) that raise the baseline for reliability, security, and developer experience.
- Provide architectural and technical leadership
- Drive architectural decisions for platform and infrastructure initiatives, balancing long‑term strategy with immediate business needs.
- Collaborate with other staff and senior engineers to set technical direction for Axon’s reliability, security, and automation strategy, especially around our execution platform and identity.
- Mentor and grow engineers across multiple teams, acting as a force multiplier by raising the technical bar and improving how we design, secure, and operate systems.
What You Bring
- 10+ years of experience in software engineering, with a focus on infrastructure, platform, or reliability engineering.
- Strong programming skills in one or more languages such as Go, TypeScript, Python, or Java, with an emphasis on building services and tooling, not just scripts.
- Experience operating and scaling public‑facing, distributed systems, including designing for availability, latency, and graceful degradation.
- Deep familiarity with Infrastructure as Code (e.g., Terraform, CDK, CloudFormation) and modern CI/CD practices, including how to model policies, environments, and workflows as code.
- Demonstrated experience building or owning platforms that other engineers depend on (e.g., deployment frameworks, execution engines, internal developer platforms, or SRE tooling).
- Practical experience with identity and access management:
- Integrating applications and platforms with SSO/OIDC providers and enforcing RBAC/ABAC.
- Designing safe patterns for secrets management, key management, and workload identity.
- Working with security and compliance partners to translate requirements into concrete, testable controls.
- Experience improving security posture in cloud environments, including secure defaults, least‑privilege access patterns, and auditable change workflows.
- Proven ability to lead through influence in highly collaborative, cross‑functional environments; you are comfortable driving consensus across product, platform, security, and compliance teams.
- Strong system design and architecture skills, with a track record of making sound trade‑offs under ambiguity and scaling systems and platforms over multiple years.
- Demonstrated experience mentoring engineers and developing technical talent, helping others grow into stronger platform, SRE, or security engineers.
- Excellent communication skills; you can explain complex systems, constraints, and trade‑offs clearly to both technical and non‑technical stakeholders.
Benefits that Benefit You
Our benefits offer an array of options to help support you physically, financially, and emotionally through the big milestones and in your everyday life, including:
- Competitive salary and 401(k) with employer match
- Discretionary time off
- Paid parental leave for all
- Medical, Dental, Vision plans
- Fitness Programs
- Emotional & Development Programs
- And yes, we have snacks in our offices
Benefits listed herein may vary depending on the nature of your employment and the location where you work.
Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit https://www.axon.com/careers.
Don’t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.
Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Important Notes
The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.
Some roles may also require legal eligibility to work in a firearms environment.
We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.
Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.
We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers. If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.
Ready to apply?
Apply to AxonAt Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Why This Role, Why Now
GTM Data Strategy & Operations stood up from scratch with no predecessor. Today the function runs on three offshore contractors and zero FTEs, managed by a single leader who is simultaneously building the agentic infrastructure, operating it in production, and driving major initiatives (hierarchy redesign, data quality assessment, vendor optimization).
The operating model is deliberately agentic AI–first: a multi-agent pipeline (Cartographer, Sentinel, Resolver, Reporting) handles detection, enrichment, hierarchy mapping, and conflict resolution at scale. This is not a future-state vision, these agents are live and processing enterprise account families in production today.
The problem: one person cannot build, operate, and extend this system while also managing strategic workstreams. The function currently covers only core Tier‑1 fields. Dozens of account, contact, and lead signals remain unaddressed. Every pipeline run, every failure diagnosis, and every offshore handoff flows through a single point of failure.
This role is the first onshore execution hire for an agent operator who can keep the system running, improve it, and extend detection and resolution coverage as GTM leadership prioritizes new data elements.
Role Summary
Sit between AI systems and GTM data. Operate, tune, and extend our agentic data quality pipeline (detection, enrichment, hierarchy mapping, conflict resolution) so it runs reliably, improves continuously, and expands to cover more of the data landscape. Own the handoff between automated output and human review, managing quality and throughput with our offshore team. You don’t build agents from scratch, but you run them, evaluate their output with GTM data judgment, and make them better.
Core Responsibilities
Agent Pipeline Operations
- Run and monitor production pipeline sessions (Cartographer, Sentinel, Resolver) across scheduled cadences; diagnose and resolve failures (API errors, session timeouts, data anomalies) without escalating to the function lead.
- Execute pipeline runs in Claude Claude and tmux; manage long-running batch processes; interpret logs and output to confirm data integrity before downstream handoff.
- Maintain pipeline orchestration scripts and configuration; extend agent coverage as new data elements are prioritized by GTM leadership.
Agent Tuning & Improvement
- Refine detection rules, prompt logic, and confidence thresholds based on output analysis and false-positive/negative patterns.
- Evaluate agent accuracy by segment (Enterprise vs. MM/SMB) and recommend rule or workflow changes backed by evidence.
- Run bake-offs (vendor vs. AI enrichment) to optimize cost, coverage, and accuracy; document results for decision-making.
Sentinel → Offshore Resolution Loop
- Own the handoff between Sentinel detection output and Concentrix triage queues; define queue structure, priority tiers, and resolution instructions.
- Monitor offshore resolution quality and throughput; refine detection rules based on patterns surfaced through triage.
- Close the feedback loop: track resolution outcomes back to agent configuration to reduce recurring false positives and improve detection precision.
Data Quality & Enrichment Operations
- Maintain ops-only staging fields; manage the promote-to-production flow with audit controls.
- Design and run AI-assisted enrichment workflows (Clay + LLM prompts) with evidence links and confidence thresholds.
- Monitor fill-rate, sampled accuracy, freshness, and cost-per-record by source and segment; surface vendor performance issues and recommend changes.
- Keep data dictionaries, SOPs, and runbooks current as agents and processes evolve.
Cross-Functional Partnership
- GTM Systems (SFDC): field configuration, permission sets, automation, flows.
- Data Engineering: source availability, ID mapping, lineage (no pipeline coding).
- Reporting: define metrics and acceptance criteria; partner on dashboard requirements.
What to Expect
This is a triage environment, not a steady-state one. The function is young, the data has known gaps, and the work is to stabilize and extend, not maintain and optimize. You’ll be building the plane while flying it, alongside a small team that operates with high autonomy and a bias toward measurable outcomes. If ambiguity and mess energize you, this is the right fit.
Success Metrics (6–12 Months)
Pipeline Reliability
- Scheduled pipeline runs execute without function-lead intervention; failure-to-resolution cycle time under 24 hours for non-blocking issues.
- Agent coverage extended to new data elements as prioritized (measured by number of signals under active detection).
Detection & Resolution Quality
- Sentinel detection precision and recall improve quarter over quarter, tracked by segment.
- Concentrix resolution queue throughput and accuracy meet defined acceptance thresholds.
- False-positive rate decreases through feedback-loop refinement.
Data Quality Outcomes
- Tier-1 field fill-rates: Country ≥95%; Vertical ≥90% at ≥85% sampled accuracy; Revenue bands ≥90%.
- Hierarchy coverage 65–80%+ across target segments.
- Enterprise cost-per-record reduction of 30–40% via AI-first + selective vendor usage.
Qualifications
Required
- 3–6 years in Data Ops, Sales Ops, or GTM Ops with hands-on data quality ownership for account and contact data.
- Proficiency with Snowflake (SQL for querying, analysis, validation) and SFDC (object model, field configuration, data flows).
- Working experience with Claude Code or comparable LLM-based tooling in an operational (not just experimental) context.
- Experience designing and running AI-assisted enrichment workflows (e.g., Clay + LLM prompts) and evaluating accuracy/coverage.
- Comfort operating in a command-line environment: tmux, shell scripts, log analysis, batch process monitoring.
- Process design mindset with a bias toward measurable outcomes; strong written communication.
Strong Plus
- Experience with account/contact data vendors (D&B, ZoomInfo, Clearbit, StoreLeads) and waterfall enrichment logic.
- Python for QA scripting, sampling, or light automation.
- Familiarity with prompt engineering, confidence scoring, and AI guardrails (evidence capture, versioned prompts, QA sampling gates).
Tool Stack
- Core: Snowflake (SQL), SFDC, Claude Code, Clay
- Pipeline: Shell orchestration, Cartographer / Sentinel / Resolver agents
- Enrichment: D&B, ZoomInfo, Clearbit, StoreLeads, LLM prompts
- Nice to Have: Python, SOQL, prompt engineering frameworks
- AI Guardrails (Expected Practice): Confidence floors, evidence capture, versioned prompts, 10% QA sampling gates, audit-on-promote, drift alerts, and privacy/compliance checks. This role is expected to uphold and improve these practices, not just follow them.
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Why This Role, Why Now
GTM Data Strategy & Operations stood up from scratch with no predecessor. Today the function runs on three offshore contractors and zero FTEs, managed by a single leader who is simultaneously building the agentic infrastructure, operating it in production, and driving major initiatives (hierarchy redesign, data quality assessment, vendor optimization).
The operating model is deliberately agentic AI–first: a multi-agent pipeline (Cartographer, Sentinel, Resolver, Reporting) handles detection, enrichment, hierarchy mapping, and conflict resolution at scale. This is not a future-state vision, these agents are live and processing enterprise account families in production today.
The problem: one person cannot build, operate, and extend this system while also managing strategic workstreams. The function currently covers only core Tier‑1 fields. Dozens of account, contact, and lead signals remain unaddressed. Every pipeline run, every failure diagnosis, and every offshore handoff flows through a single point of failure.
This role is the first onshore execution hire for an agent operator who can keep the system running, improve it, and extend detection and resolution coverage as GTM leadership prioritizes new data elements.
Role Summary
Sit between AI systems and GTM data. Operate, tune, and extend our agentic data quality pipeline (detection, enrichment, hierarchy mapping, conflict resolution) so it runs reliably, improves continuously, and expands to cover more of the data landscape. Own the handoff between automated output and human review, managing quality and throughput with our offshore team. You don’t build agents from scratch, but you run them, evaluate their output with GTM data judgment, and make them better.
Core Responsibilities
Agent Pipeline Operations
- Run and monitor production pipeline sessions (Cartographer, Sentinel, Resolver) across scheduled cadences; diagnose and resolve failures (API errors, session timeouts, data anomalies) without escalating to the function lead.
- Execute pipeline runs in Claude Claude and tmux; manage long-running batch processes; interpret logs and output to confirm data integrity before downstream handoff.
- Maintain pipeline orchestration scripts and configuration; extend agent coverage as new data elements are prioritized by GTM leadership.
Agent Tuning & Improvement
- Refine detection rules, prompt logic, and confidence thresholds based on output analysis and false-positive/negative patterns.
- Evaluate agent accuracy by segment (Enterprise vs. MM/SMB) and recommend rule or workflow changes backed by evidence.
- Run bake-offs (vendor vs. AI enrichment) to optimize cost, coverage, and accuracy; document results for decision-making.
Sentinel → Offshore Resolution Loop
- Own the handoff between Sentinel detection output and Concentrix triage queues; define queue structure, priority tiers, and resolution instructions.
- Monitor offshore resolution quality and throughput; refine detection rules based on patterns surfaced through triage.
- Close the feedback loop: track resolution outcomes back to agent configuration to reduce recurring false positives and improve detection precision.
Data Quality & Enrichment Operations
- Maintain ops-only staging fields; manage the promote-to-production flow with audit controls.
- Design and run AI-assisted enrichment workflows (Clay + LLM prompts) with evidence links and confidence thresholds.
- Monitor fill-rate, sampled accuracy, freshness, and cost-per-record by source and segment; surface vendor performance issues and recommend changes.
- Keep data dictionaries, SOPs, and runbooks current as agents and processes evolve.
Cross-Functional Partnership
- GTM Systems (SFDC): field configuration, permission sets, automation, flows.
- Data Engineering: source availability, ID mapping, lineage (no pipeline coding).
- Reporting: define metrics and acceptance criteria; partner on dashboard requirements.
What to Expect
This is a triage environment, not a steady-state one. The function is young, the data has known gaps, and the work is to stabilize and extend, not maintain and optimize. You’ll be building the plane while flying it, alongside a small team that operates with high autonomy and a bias toward measurable outcomes. If ambiguity and mess energize you, this is the right fit.
Success Metrics (6–12 Months)
Pipeline Reliability
- Scheduled pipeline runs execute without function-lead intervention; failure-to-resolution cycle time under 24 hours for non-blocking issues.
- Agent coverage extended to new data elements as prioritized (measured by number of signals under active detection).
Detection & Resolution Quality
- Sentinel detection precision and recall improve quarter over quarter, tracked by segment.
- Concentrix resolution queue throughput and accuracy meet defined acceptance thresholds.
- False-positive rate decreases through feedback-loop refinement.
Data Quality Outcomes
- Tier-1 field fill-rates: Country ≥95%; Vertical ≥90% at ≥85% sampled accuracy; Revenue bands ≥90%.
- Hierarchy coverage 65–80%+ across target segments.
- Enterprise cost-per-record reduction of 30–40% via AI-first + selective vendor usage.
Qualifications
Required
- 3–6 years in Data Ops, Sales Ops, or GTM Ops with hands-on data quality ownership for account and contact data.
- Proficiency with Snowflake (SQL for querying, analysis, validation) and SFDC (object model, field configuration, data flows).
- Working experience with Claude Code or comparable LLM-based tooling in an operational (not just experimental) context.
- Experience designing and running AI-assisted enrichment workflows (e.g., Clay + LLM prompts) and evaluating accuracy/coverage.
- Comfort operating in a command-line environment: tmux, shell scripts, log analysis, batch process monitoring.
- Process design mindset with a bias toward measurable outcomes; strong written communication.
Strong Plus
- Experience with account/contact data vendors (D&B, ZoomInfo, Clearbit, StoreLeads) and waterfall enrichment logic.
- Python for QA scripting, sampling, or light automation.
- Familiarity with prompt engineering, confidence scoring, and AI guardrails (evidence capture, versioned prompts, QA sampling gates).
Tool Stack
- Core: Snowflake (SQL), SFDC, Claude Code, Clay
- Pipeline: Shell orchestration, Cartographer / Sentinel / Resolver agents
- Enrichment: D&B, ZoomInfo, Clearbit, StoreLeads, LLM prompts
- Nice to Have: Python, SOQL, prompt engineering frameworks
- AI Guardrails (Expected Practice): Confidence floors, evidence capture, versioned prompts, 10% QA sampling gates, audit-on-promote, drift alerts, and privacy/compliance checks. This role is expected to uphold and improve these practices, not just follow them.
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Why This Role, Why Now
GTM Data Strategy & Operations stood up from scratch with no predecessor. Today the function runs on three offshore contractors and zero FTEs, managed by a single leader who is simultaneously building the agentic infrastructure, operating it in production, and driving major initiatives (hierarchy redesign, data quality assessment, vendor optimization).
The operating model is deliberately agentic AI–first: a multi-agent pipeline (Cartographer, Sentinel, Resolver, Reporting) handles detection, enrichment, hierarchy mapping, and conflict resolution at scale. This is not a future-state vision, these agents are live and processing enterprise account families in production today.
The problem: one person cannot build, operate, and extend this system while also managing strategic workstreams. The function currently covers only core Tier‑1 fields. Dozens of account, contact, and lead signals remain unaddressed. Every pipeline run, every failure diagnosis, and every offshore handoff flows through a single point of failure.
This role is the first onshore execution hire for an agent operator who can keep the system running, improve it, and extend detection and resolution coverage as GTM leadership prioritizes new data elements.
Role Summary
Sit between AI systems and GTM data. Operate, tune, and extend our agentic data quality pipeline (detection, enrichment, hierarchy mapping, conflict resolution) so it runs reliably, improves continuously, and expands to cover more of the data landscape. Own the handoff between automated output and human review, managing quality and throughput with our offshore team. You don’t build agents from scratch, but you run them, evaluate their output with GTM data judgment, and make them better.
Core Responsibilities
Agent Pipeline Operations
- Run and monitor production pipeline sessions (Cartographer, Sentinel, Resolver) across scheduled cadences; diagnose and resolve failures (API errors, session timeouts, data anomalies) without escalating to the function lead.
- Execute pipeline runs in Claude Claude and tmux; manage long-running batch processes; interpret logs and output to confirm data integrity before downstream handoff.
- Maintain pipeline orchestration scripts and configuration; extend agent coverage as new data elements are prioritized by GTM leadership.
Agent Tuning & Improvement
- Refine detection rules, prompt logic, and confidence thresholds based on output analysis and false-positive/negative patterns.
- Evaluate agent accuracy by segment (Enterprise vs. MM/SMB) and recommend rule or workflow changes backed by evidence.
- Run bake-offs (vendor vs. AI enrichment) to optimize cost, coverage, and accuracy; document results for decision-making.
Sentinel → Offshore Resolution Loop
- Own the handoff between Sentinel detection output and Concentrix triage queues; define queue structure, priority tiers, and resolution instructions.
- Monitor offshore resolution quality and throughput; refine detection rules based on patterns surfaced through triage.
- Close the feedback loop: track resolution outcomes back to agent configuration to reduce recurring false positives and improve detection precision.
Data Quality & Enrichment Operations
- Maintain ops-only staging fields; manage the promote-to-production flow with audit controls.
- Design and run AI-assisted enrichment workflows (Clay + LLM prompts) with evidence links and confidence thresholds.
- Monitor fill-rate, sampled accuracy, freshness, and cost-per-record by source and segment; surface vendor performance issues and recommend changes.
- Keep data dictionaries, SOPs, and runbooks current as agents and processes evolve.
Cross-Functional Partnership
- GTM Systems (SFDC): field configuration, permission sets, automation, flows.
- Data Engineering: source availability, ID mapping, lineage (no pipeline coding).
- Reporting: define metrics and acceptance criteria; partner on dashboard requirements.
What to Expect
This is a triage environment, not a steady-state one. The function is young, the data has known gaps, and the work is to stabilize and extend, not maintain and optimize. You’ll be building the plane while flying it, alongside a small team that operates with high autonomy and a bias toward measurable outcomes. If ambiguity and mess energize you, this is the right fit.
Success Metrics (6–12 Months)
Pipeline Reliability
- Scheduled pipeline runs execute without function-lead intervention; failure-to-resolution cycle time under 24 hours for non-blocking issues.
- Agent coverage extended to new data elements as prioritized (measured by number of signals under active detection).
Detection & Resolution Quality
- Sentinel detection precision and recall improve quarter over quarter, tracked by segment.
- Concentrix resolution queue throughput and accuracy meet defined acceptance thresholds.
- False-positive rate decreases through feedback-loop refinement.
Data Quality Outcomes
- Tier-1 field fill-rates: Country ≥95%; Vertical ≥90% at ≥85% sampled accuracy; Revenue bands ≥90%.
- Hierarchy coverage 65–80%+ across target segments.
- Enterprise cost-per-record reduction of 30–40% via AI-first + selective vendor usage.
Qualifications
Required
- 3–6 years in Data Ops, Sales Ops, or GTM Ops with hands-on data quality ownership for account and contact data.
- Proficiency with Snowflake (SQL for querying, analysis, validation) and SFDC (object model, field configuration, data flows).
- Working experience with Claude Code or comparable LLM-based tooling in an operational (not just experimental) context.
- Experience designing and running AI-assisted enrichment workflows (e.g., Clay + LLM prompts) and evaluating accuracy/coverage.
- Comfort operating in a command-line environment: tmux, shell scripts, log analysis, batch process monitoring.
- Process design mindset with a bias toward measurable outcomes; strong written communication.
Strong Plus
- Experience with account/contact data vendors (D&B, ZoomInfo, Clearbit, StoreLeads) and waterfall enrichment logic.
- Python for QA scripting, sampling, or light automation.
- Familiarity with prompt engineering, confidence scoring, and AI guardrails (evidence capture, versioned prompts, QA sampling gates).
Tool Stack
- Core: Snowflake (SQL), SFDC, Claude Code, Clay
- Pipeline: Shell orchestration, Cartographer / Sentinel / Resolver agents
- Enrichment: D&B, ZoomInfo, Clearbit, StoreLeads, LLM prompts
- Nice to Have: Python, SOQL, prompt engineering frameworks
- AI Guardrails (Expected Practice): Confidence floors, evidence capture, versioned prompts, 10% QA sampling gates, audit-on-promote, drift alerts, and privacy/compliance checks. This role is expected to uphold and improve these practices, not just follow them.
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Why You Should Join the Onboarding Team
The [Product Expansion / Activation] team at Klaviyo is focused on improving the early experience of Klaviyo for new customers. We work diligently to improve the rate at which customers are successfully setting up their Klaviyo account and gaining value from the platform. Engineers on the team use data to discover opportunities for improvement, implement A/B tests to validate ideas, and work across the product to iteratively improve UX and reduce friction for new customers. We are looking for great generalist software engineers with a passion for the experience-layer that have an interest in or experience with growing a user-base and building a great customer onboarding pipeline and experience.
How You Will Make a Difference
- In this role, you will drive the technical design and lead the implementation of high-impact user-experience improvements across the Klaviyo product, focusing on areas critical to new customer success and adoption. You will own the entire project lifecycle, working through ambiguity and requirements refinement to execution and delivery.
- You will own the end-to-end experimentation process, including contributing to the definition of strategy, architecting and implementing A/B tests to validate product hypotheses, and interpreting data to drive significant iterative improvements. You will be accountable for the quality and operational health of the features you deliver.
- You will serve as a technical leader and liaison, collaborating proactively with partners across teams to define and prioritize key technical initiatives to shape the long-term product roadmap.
- You will take a lead role in mentoring and providing technical guidance to other engineers on the team, elevating our experimentation, development, and operational practices, ensuring contributions consistently leave the product area better than when you found it.
- You will define the architectural approach and technical strategy for your area of responsibility, anticipating scalability and reliability needs, including leveraging AI agents in our work and delivery, ensuring the solution is robust, scalable, and adheres to best practices for security, performance, and maintainability.
- Working from our Boston HQ at least three days a week.
Who You Are
- Have an extensive background in full stack software engineering, demonstrating deep understanding of Klaviyo’s systems and the ability to architect, deliver, and maintain software with an emphasis on high-scale, user-facing features, and their supporting APIs and infrastructure.
- Demonstrated ability to drive technical strategy and improvement using a data-driven mindset, leading to measurable business results and upholding best practices.
- Demonstrated technical experience in using and championing AI-driven software delivery practices and methods, a passion for continuous learning and mentoring, and the ability to work productively through others to set them up for project success.
- Experience driving A/B testing strategies for products with metric-based goals to significantly improve user experience, customer acquisition, and success is a strong plus.
- Thrives in an entrepreneurial type environment that is customer focused and strategic, while bringing clarity and technical stability to ambiguous challenges and prioritizing work that enables the team to move faster.
Technologies we use (not exhaustive):
- HTML, TypeScript, JavaScript, React
- Python, Django
- MySQL, Cassandra, RabbitMQ, Redis
- Amazon Web Services (EC2, RDS, Aurora, etc.), Terraform, Ansible, Packer, and other DevOps tools
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Why You Should Join the Email Platforms Team:
The Email Platforms team at Klaviyo is building the next generation of infrastructure to support reliable, scalable, and performant email delivery. Our mission is to help Klaviyo reach enterprise scale by evolving and owning our email sending pipeline end-to-end. We're investing heavily in our homegrown email delivery infrastructure, giving us greater control, performance, and reliability in how we deliver emails for some of the largest brands in the world.
You’ll join a high-impact, high-ownership team tackling technical challenges around high-throughput systems, distributed messaging, and service performance at scale. Our work directly impacts customer satisfaction and business success. If you’re excited about email infrastructure, systems design, and high-scale backend development in Go, this is the role for you.
How You Will Make a Difference:
- Own and drive key components of the email pipeline architecture
- Design and implement scalable, high-throughput services in Go
- Develop systems that manage message queues and email delivery
- Help ensure our systems scale with customer growth, especially as we bring on larger enterprise accounts
- Collaborate cross-functionally to ensure the highest standards of performance, reliability, and deliverability
- Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.
Who You Are:
- Senior-level backend engineer with strong systems design skills
- Proficient in Go (required). experience with Python is a plusExperienced working with high-throughput distributed systems
- Familiar with message queues (e.g., Pulsar, Kafka, RabbitMQ, SQS)
- Bonus: Experience with email infrastructure, MTAs, deliverability, or mailops
- Comfortable working independently on projects from design through production
- Able to thrive in a mostly remote team and deliver in a high-autonomy environment
- You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.
Technologies We Use:
- Languages: Go, Python
- Infrastructure: AWS, DynamoDB, Kubernetes, Terraform
Frameworks: Gin (Go), Django (Python)
- Messaging: Pulsar, Kafka, other message queues
- Email Systems: MTA’s (GreenArrow), Proxy servers, email deliverability tools, monitoring tools
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
Software Engineer II - Channel Rendering and Engagement
Share this job
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
About the Role
Klaviyo is looking for a Backend Engineer to support key initiatives that enhance our product offerings and drive company growth. In this role, you'll play a critical part in delivering end-to-end solutions using cutting-edge distributed systems and AI technologies. You’ll improve existing products and develop new capabilities that push the boundaries of what’s possible for our customers.
As a Software Engineer II, you’ll tackle complex challenges, explore multiple solutions, and weigh business and technical trade-offs to determine the best path forward. You’ll actively contribute to team discussions and help shape important technology decisions. You'll also be responsible for shipping well-designed, thoroughly tested solutions that prioritize reliability and performance.
The Channel Rendering & Engagement team builds and runs the core infrastructure that turns Klaviyo’s templates and data into the actual messages customers receive - across email, SMS, push, and previews - at massive scale and low latency. We own the high‑performance rendering pipeline, engagement tracking, and compliance-related services. These services collectively ensure that messages are delivered quickly, reliably, and safely. We are the team that guarantees every personalized message is rendered correctly, tracked accurately, and meets strict SLOs, so the rest of Klaviyo can innovate on top of a rock-solid communications platform.
We work cross-functionally by default. Partnering closely with teams across the org gives us broad exposure to the product, lets us unblock other teams, and allows us to drive impact well beyond our immediate scope. The work is fast-moving, varied, and forces us to constantly learn and adapt.
What We’re Looking For
- Experience with distributed systems
- A proven track record of building high-quality products and systems, with a focus on writing clean, maintainable code
- 3+ years of experience in a software engineering role
- Experience building end-to-end software solutions
- Familiarity with various AI tools that enhance the software development lifecycle
- Familiarity with code reviews and leading or participating in robust testing practices
- Experience working in agile, fast-paced environments
Nice to Have
- Python
- Golang
- AWS / knowledge of building cloud-native solutions
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
About the Role
Klaviyo is looking for a Software Engineer II to join the Flows Platform team. In this role, you will help build and operate the core engine that powers all automated lifecycle programs at Klaviyo. You’ll play a critical part in delivering robust, high-scale backend solutions that process billions of events, send millions of messages, and ensure our customers’ automations run reliably and without delay.
As a Software Engineer II, you’ll tackle complex challenges, explore multiple solutions, and weigh business and technical trade-offs to determine the best path forward. You’ll actively contribute to team discussions and help shape important technology decisions. You'll also be responsible for shipping well-designed, thoroughly tested solutions that prioritize reliability and performance.
On the Flows Platform team, we focus on the core of Klaviyo’s automation engine, ensuring that hundreds of millions of actions per day are processed accurately and efficiently to power user workflows. Our work revolves around the core backend systems that determine who receives a message and when, handling complex logic for triggering, filtering, and scheduling at massive scale. We also manage the data stores and infrastructure that support these operations, ensuring reliability while we actively re-architect our stack to support the next generation of event-driven features.
We are responsible for:
- Core Execution Engine: The logic for flow triggering, evaluation (filtering/branching), and action execution. We ensure that every event is processed accurately and efficiently.
- Scheduling & Orchestration: Managing time-based logic, delays, and the dispatching of millions of scheduled actions per day.
- High-Scale Infrastructure: Owning the execution data stores and pipelines that must run reliably at huge scale.
Collaboration is key to what we do. We actively partner with engineering teams across the organization, giving us exposure to diverse parts of the product and opportunities to impact various projects. This keeps us engaged with a variety of challenges and solutions, as we’re always learning and evolving.
What We’re Looking For
- 3+ years of experience in a software engineering role with a focus on backend systems and high-volume data processing.
- Strong Backend proficiency: Deep experience building robust services and APIs using Python and Django (or similar frameworks).
- Distributed Systems knowledge and experience working with asynchronous task queues (e.g. Celery, RabbitMQ, Pulsar) and understanding the challenges of eventual consistency and distributed state.
- Proficiency with relational databases (MySQL/Aurora) and high-scale NoSQL stores (Redis, or DynamoDB).
- A focus on writing clean, maintainable code, participating in code reviews, and leading robust testing practices (unit, integration, and load testing).
- Experience working in fast-paced environments and collaborating with other engineering teams to solve cross-functional problems.
- Experience using AI coding tools like Claude Code or Cursor to accelerate development.
Nice to Have
- Experience with Event-Driven Architecture and streaming technologies like Pulsar or Kafka.
- Experience with Infrastructure as Code (Terraform) and container orchestration (Kubernetes).
- Experience creating technical designs for complex features or system migrations.
- Background in building platforms that support other engineering teams.
- Experience building cloud-native solutions, ideally on AWS
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
Software Engineer II - Identity & Access Management (Core Infra IO)
Share this job
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Team overview
The Core Infrastructure – Identity & Organizations (Core IO) pillar owns the foundational substrate for identity, access, organizations, and platform integrity at Klaviyo. We manage the critical path of the user journey from login, to enforcing permissions, to operating within the correct organization and regional context so that the rest of the platform can move fast and stay secure.
Within Core IO, the Identity & Access Management (IAM) team builds and operates Klaviyo’s centralized authentication and authorization platform for both humans and machines. We power login, SSO, MFA, SCIM, internal service auth, and external API auth, and we are in the middle of transforming Klaviyo’s identity stack into a unified, enterprise-grade platform.
Why this role is exciting
- Shape Klaviyo’s identity platform: You’ll help design and build the services that every product team and customer relies on login, sessions, permissions, and secure service APIs are all on your roadmap.
- High-leverage, platform-level impact: Your work will directly affect engineering velocity (auth as a shared service), Enterprise deal wins (SSO/SCIM/RBAC/ReBAC), and Data Residency (region-aware auth flows).
- Deep systems and security learning: You’ll work on distributed systems, modern IdP integration, machine auth, and secure-by-default patterns with strong mentorship and meaningful ownership.
What you’ll do
As a Software Engineer II on the IAM team, you will:
- Own features end-to-end across design, implementation, rollout, and observability for core authN/Z capabilities such as login flows, MFA, SSO enhancements, SCIM, sessions, and role/permission enforcement.
- Contribute to auth platform extraction: Help move authentication and authorization paths out of the legacy monolith into dedicated micro services, including token verification, API key services, and internal service auth behind Kong and IdP platform.
- Build and maintain shared SDKs and contracts that let internal teams adopt IAM services quickly (OAuth, machine auth, org-scoped authZ), making “secure by default” the simplest option for new surfaces and agents.
- Collaborate with Organizations & Accounts to support org-scoped identity, multi-account SSO, and flexible org/account models that underpin enterprise experiences and cross-account analytics.
- Partner with Platform Integrity & Protection (PAA), Security, and Compliance on secure patterns for account protection (MFA, recovery, device/session risk), ensuring IAM is a strong foundation for account security and anti-abuse controls.
- Improve reliability and performance of IAM services by instrumenting metrics and alerts, debugging production issues, and contributing to on-call rotations and incident reviews.
- Help define and refine standards for authentication and authorization across the platform APIs, error semantics, audit logging, and integration patterns so product teams don’t reinvent them per-service.
Who you are
You are a mid-level software engineer who has shipped and supported production systems, and who wants to specialize in identity, security, and platform infrastructure.
- Experienced systems builder: You have 2-5+ years of professional software engineering experience, including building and operating backend or full-stack services in production.
- Strong fundamentals & debugging skills: You are comfortable reasoning about data models, API design, concurrency, and failure modes, and you can dig through logs, metrics, and traces to identify root causes and implement systemic fixes.
- Security & identity motivated: You’re excited by authentication, authorization, and account security problems and want to deepen your expertise in areas like MFA, SSO, SCIM, OAuth, and roles/permissions.
- Platform/infra mindset: You like building reusable services and tools that other engineers rely on, including libraries, SDKs, and patterns that raise the floor for quality and security across the org.
- Ownership & collaboration: You take responsibility for outcomes, not just code. You’re comfortable driving a small project or component, coordinating with partner teams, and communicating trade-offs clearly in design docs and PRs.
- You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.
Minimum qualifications
- 2-5+ years of professional software engineering experience.
- Proficiency in at least one of Python, Go, or TypeScript/JavaScript, and comfort working on backend and/or service-oriented systems.
- Experience building or operating web services or APIs backed by relational databases and/or caches (e.g., MySQL, Postgres, Redis).
- Familiarity with authentication or authorization concepts (sessions, tokens, OAuth, SSO, MFA, RBAC) and an interest in going much deeper.
- Exposure to CI/CD pipelines and modern development workflows (code review, testing, deployments, on-call participation or support).
Nice to have
You don’t need all of these, but experience in any of the following is a bonus:
- Building or integrating with IdPs and identity protocols (SAML/OIDC, enterprise SSO, SCIM, OAuth, API key management).
- Working with cloud-native infrastructure (AWS, Kubernetes, Terraform, Kong, or similar API gateways and service meshes).
- Experience with high-scale distributed systems or performance-sensitive services where availability and latency targets matter (e.g., auth endpoints, org lookups, internal service auth).
- Familiarity with observability stacks (Grafana, Datadog/Splunk, internal metrics/logging frameworks) and using them to drive reliability improvements.
- Interest or experience in adjacent Core IO domains like Organizations & Accounts or Platform Anti-Abuse (PAA), especially where they intersect with auth and account security.
Technologies we use (not exhaustive)
You’ll work with some of these on day one and have opportunities to learn the rest:
- Languages & frameworks: Python, Django, Go, TypeScript/React.
- Identity & access: OAuth, API keys, SSO, SCIM, MFA, roles & permissions, internal service auth SDKs.
- Infrastructure & platform: AWS, Kubernetes, Terraform, Kong, microservice platform for auth and organizations.
Data & observability: MySQL, Redis, Kafka/queues, Grafana, Splunk, internal logging/metrics pipelines.
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
About the Role
Klaviyo is looking for a Full Stack Engineer to join the Social team and help turn social conversations into long‑term customer relationships. In this role, you'll build end‑to‑end experiences that connect channels like Instagram DMs to Klaviyo’s core platform—capturing high‑intent profiles, consent, and engagement data from social traffic.
As a Software Engineer II, you’ll tackle complex technical challenges, explore multiple solution paths, and weigh business and technical trade‑offs to determine the best approach. You’ll contribute actively to design discussions, help shape architectural decisions, and ship well‑designed, thoroughly tested features that prioritize reliability, performance, and a great user experience.
On the Social team, we focus on crafting intuitive, high‑impact surfaces that make it easy for brands to grow their lists from social. This includes the experiences that power Instagram auto‑replies and future social entry points, the supporting APIs and services that ingest and transform social events, and the data and analytics that show customers how social programs drive profile growth and revenue. We partner closely with teams across messaging channels, onsite experiences, and profiles to create a cohesive, multi‑channel growth engine.
Collaboration is central to how we work. You’ll work with engineers, product managers, designers, and data partners across Klaviyo, gaining exposure to many parts of the stack and product. This keeps the work varied and gives you opportunities to see your code in action across different surfaces—from customer storefronts to internal analytics tools.
Looking ahead, Social is expanding beyond our first Instagram auto‑reply experiences into a broader social growth platform. We’ll be deepening our native social integrations, building smarter targeting and personalization based on profile and event data, and creating new ways to route social traffic into high‑conversion destinations like landing pages and onsite modules. Our goal is to make Social not just a feature, but a growth platform that helps brands turn every conversation into a durable customer relationship.
What We’re Looking For
- A proven track record of building high-quality products and systems, with a focus on writing clean, maintainable code
- 3+ years of experience in a software engineering role
- Experience building end-to-end software solutions or deep experience with both front-end and back-end technologies
- Familiarity with code reviews and leading or participating in robust testing practices
- Experience working in agile, fast-paced environments
Nice to Have
- Experience with Python and related technologies
- Experience with React and related technologies
- Background in digital marketing or customer data software
- Exposure to machine learning concepts or applications
- Experience building cloud-native solutions, ideally on AWS
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
About the Role
Klaviyo is looking for a Full Stack Engineer to support key initiatives that enhance our product offerings and drive company growth. In this role, you'll play a critical part in delivering end-to-end solutions using both front-end and back-end technologies. You’ll improve existing products and develop new capabilities that push the boundaries of what’s possible for our customers.
As a Software Engineer II, you’ll tackle complex challenges, explore multiple solutions, and weigh business and technical trade-offs to determine the best path forward. You’ll actively contribute to team discussions and help shape important technology decisions. You'll also be responsible for shipping well-designed, thoroughly tested solutions that prioritize reliability and performance.
The WhatsApp team builds the end-to-end experience for Klaviyo’s WhatsApp channel, making it easy and powerful for customers to use our newest messaging channel effectively. We own the core WhatsApp product surface across Klaviyo, ensuring it’s available wherever customers expect it, while building and operating WhatsApp-specific capabilities like outbound and inbound pipelines and Meta template management.
We work cross-functionally by default. Partnering closely with teams across the org gives us broad exposure to the product, lets us unblock other teams, and allows us to drive impact well beyond our immediate scope. The work is fast-moving, varied, and forces us to constantly learn and adapt.
Looking ahead, our focus is on scaling WhatsApp across Klaviyo. That means closing feature gaps, rapidly integrating new Meta capabilities, and running targeted adoption experiments to drive usage. The goal is simple: deliver the most complete, high-quality WhatsApp integration in the market—and set the bar for what a marketing platform can do with this channel
What We’re Looking For
- A proven track record of building high-quality products and systems, with a focus on writing clean, maintainable code
- 3+ years of experience in a software engineering role
- Experience building end-to-end software solutions or deep experience with both front-end and back-end technologies
- Familiarity with code reviews and leading or participating in robust testing practices
- Experience working in agile, fast-paced environments
Nice to Have
- Experience with Python and related technologies
- Experience with React and related technologies
- Background in digital marketing or customer data software
- Exposure to machine learning concepts or applications
- Experience building cloud-native solutions, ideally on AWS
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
About the Role
Klaviyo is looking for a Full Stack Engineer to support key initiatives that enhance our product offerings and drive company growth. In this role, you'll play a critical part in delivering end-to-end solutions using both front-end and back-end technologies. You’ll improve existing products and develop new capabilities that push the boundaries of what’s possible for our customers.
As a Software Engineer II, you’ll tackle complex challenges, explore multiple solutions, and weigh business and technical trade-offs to determine the best path forward. You’ll actively contribute to team discussions and help shape important technology decisions. You'll also be responsible for shipping well-designed, thoroughly tested solutions that prioritize reliability and performance.
On the Flows Insight & Management team, we focus on crafting an exceptional user experience for the Flows product area which empowers users to build, manage, and analyze automated workflows seamlessly. Our work revolves around an intuitive visual editor that lets users create and modify flows with ease, as well as the rich insights and analytics that help them understand how their flows are performing. We also manage APIs that integrate with other services, creating a powerful ecosystem for users to drive automation in new and exciting ways.
Collaboration is key to what we do. We actively partner with engineering teams across the organization, giving us exposure to diverse parts of the product and opportunities to impact various projects. This keeps us engaged with a variety of challenges and solutions, as we’re always learning and evolving.
Looking to the future, our team is focused on expanding the capabilities of Flows. We’ll be enhancing our flow editor and ecosystem to make it even easier to build and expand on flows. We’re also building smarter recommendations and actionable insights to help users optimize their flows. With our continued evolution, we envision Flows not just as a tool, but as a platform that empowers teams to do more, build more, and connect seamlessly.
About the Team
The Flows Insight & Management team owns how customers design, understand, and manage automated lifecycle programs across channels like Email, SMS, and WhatsApp. We are responsible for:
-
The Flows User Experience: Building an intuitive visual editor, staff-side management tools, and the analytics previews that allow users to create and modify flows with ease.
-
Developer APIs: Managing the configuration and APIs that handle creating, editing, cloning, and versioning flows.
-
Analytics & Reporting: Delivering rich insights, node-level metrics, and revenue/conversion analytics that help users understand exactly how their automations are performing.
-
Looking to the future, we are focused on expanding the flow editor ecosystem and building smarter recommendations and actionable insights to help users optimize their strategies.
What We’re Looking For
- 3+ years of experience in a software engineering role with a proven track record of building high-quality products.
- Strong Full Stack proficiency: Experience building end-to-end solutions using Python and Django on the backend, and React and TypeScript on the frontend.
- API Design experience: Ability to design and maintain robust RESTful APIs (experience with developer-facing APIs is a plus).
- Infrastructure & Database knowledge: Familiarity with relational databases (MySQL/Aurora) and exposure to cloud infrastructure, specifically AWS.
- Engineering best practices: A focus on writing clean, maintainable code, participating in code reviews, and leading robust testing practices.
- Agile collaboration: Experience working in fast-paced environments and partnering effectively with Product and Design teams.
- Experience using AI coding tools like Claude Code or Cursor to accelerate development.
Nice to Have
- Experience with infrastructure as code, such as Terraform.
- Familiarity with asynchronous task queues and event-driven architecture (Pulsar, Kafka, RabbitMQ, Celery).
- Background in digital marketing, customer data software, or building analytics products.
- Exposure to machine learning concepts, as we work towards building smarter recommendations for our users.
- Experience building cloud-native solutions, ideally on AWS.
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Location: Boston Hybrid (3 days/week in office)
Why You Should Join the Team
The Klaviyo Conversational AI Platform team is building the foundation for how Klaviyo customers plan, create, edit, and iterate on their marketing strategy through an in‑app, AI‑powered conversational experience. We own the native chat surface, the agent orchestrator, and the agentic UI framework that other teams across Klaviyo will plug into.
By joining the Klaviyo Conversational AI Platform team, you will have the opportunity to have a direct impact on over 170,000 brands that use Klaviyo every day to engage with their customers. You’ll also help define and build Klaviyo’s Autonomous Marketing platform: an ecosystem of LLM‑powered agents that can analyze, create, and optimize marketing programs across campaigns, flows, forms, and more.
As the Engineering Manager for Klaviyo Conversational AI Platform, you will lead a fullstack team that owns the main Conversational AI Platform UI while designing the core intent-routing orchestrator and shared agent platform that other teams use to plug in.
This role requires excellent communication and collaboration skills. You will work closely with product managers, product designers, and many other engineering teams to extend and drive evolution of the product.
How You Will Make a Difference
- Lead a team of engineers delivering fullstack, customer-facing features used across Klaviyo’s Conversational AI Platform product offering
- Set the technical direction for the orchestrator that handles intent detection, routing, planning, and multi‑step LLM workflows across many expert agents.
- Own end-to-end execution: scope initiatives, break down work, align dependencies, and deliver high-quality releases on predictable timelines
- Drive architectural decisions that prioritize scalability, reliability, and maintainability across services, data models, and shared component systems
- Partner closely with Product and Design to translate vision into intuitive, performant user experiences
- Drive cross-team collaboration with Engineering to ensure the smooth integration of AI agents across teams.
- Grow and mentor engineers, fostering a high-performance and inclusive team culture
- Collaborate across Klaviyo to align roadmaps and ship cohesive, customer-delighting solutions
- Contribute hands-on via design docs, code reviews, and technical spikes to de-risk complex bets and model engineering excellence
Who You Are
- 8+ years of software engineering experience with strong frontend and backend skills
- 5+ years of engineering management experience, ideally managing fullstack teams.
- Familiarity with frontend technologies like React, TypeScript, and state management tools such as Redux
- Comfortable contributing to backend systems using Python and Django, FastAPI (or equivalent)
- Skilled in system design, reusable component architecture, and scalable frontend platforms
- Familiarity DevOps tooling, cloud infrastructure (AWS), Terraform, etc.
- Proven track record delivering complex features in fast-paced, product-led environments
- Clear communicator, collaborative leader, and committed to continuous team improvement
- Experience designing or leading systems that use LLMs, tools, or agent‑like workflows
Technologies We Use
- React, TypeScript, Redux
- Python, Django, FastAPI, Langchain
- MySQL, Redis, RabbitMQ, Pulsar,
- GraphQL, RESTful APIs
- AWS, Terraform, Kubernetes
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Senior Software Engineer, AI & Analytics Data Enablement
Location: Boston, MA
As a Senior Software Engineer on Klaviyo’s AI & Analytics Data Enablement team, you’ll build and own the data foundations that power our Analytics & AI engine. You’ll design resilient pipelines and analytics models that turn billions of events and domain objects into trusted, actionable insights for Analytics and AI product features. “Your work will help our customers understand the performance of their marketing and power AI & Analytics experiences for our customers.”
About the Role
You’ll join a cross-functional R&D team focused on the availability, quality, and usability of AI and Analytics data for our customers. In this Senior-level role, you’ll lead complex software and data engineering projects across multi-component systems, from shaping requirements to design, implementation, and long-term operation. You’ll be a go-to expert for AI and analytics data, collaborating with product managers, AI, analytics, and other engineering teams to ensure our data is accurate, observable, and ready to drive insights and enable AI/ML products at scale.
You’ll also help evolve our technical standards for data engineering, raising the bar on data modeling, performance, and reliability, while mentoring other engineers on best practices and modern data tooling.
What You’ll Do
Lead the design and implementation of robust, scalable data pipelines and core tables for Klaviyo. These pipelines are crucial for powering customer facing analytics features and powering AI models to unlock the next stage of Klaviyo's products
Partner with Product, Engineering, and AI/ML teams to define clear, consistent metrics and data contracts that align to business goals and product outcomes.
Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up for example, using AI to generate tests, detect anomalies, summarize data issues, or accelerate analysis.
Mentor other engineers in data engineering best practices, code quality, observability, and system design; contribute to shared libraries, patterns, and tooling that improve developer velocity across R&D.
Who You Are
6+ years of software engineering with at least 4 or those being data engineering experience, with a strong track record building and operating data pipelines and analytics models in production.
Deep proficiency in large-scale SQL and data modeling for analytics.
Strong programming skills in a modern language commonly used for data engineering (e.g. Python), and familiarity with orchestration and transformation tooling (e.g., Airflow, EMR, Spark/pyspark, or equivalents).
Experience working with modern data platforms (e.g., columnar data warehouses, object storage) and processing frameworks (batch and/or streaming).
Demonstrated ability to lead complex projects spanning multiple components and engineers—driving clarity, making tradeoffs, and delivering measurable impact on reliability, performance, or business outcomes.
Comfortable owning systems in production: you think about observability, incident response, incremental rollouts, and long-term maintainability as part of the design.
Excellent communication skills; you can explain data tradeoffs and constraints to non-technical partners and influence decisions with clear reasoning.
You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.
Inclusive, low-ego collaborator who values diverse perspectives and is motivated by helping the team succeed, not just shipping your own code.
Nice to Haves
Experience in a product-led SaaS environment with large-scale event data
Experience in a customer facing data engineering role supports AI/ML features and Analytics Dashboards.
Hands-on work with analytics engineering tools and practices (e.g., dbt, metrics layers, semantic models).
Experience building near real-time or streaming pipelines for user-facing analytics or monitoring.
Domain experience in martech, marketing automation, or customer engagement platforms.
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
About the Role
Our team is looking for a Senior Full Stack Engineer to lead key initiatives that will enhance our product offerings and support our company’s growth. In this role, you'll play a crucial part in shaping outcomes by developing innovative end-to-end solutions using both front-end and back-end technologies. You’ll optimize existing products and create new solutions that redefine what’s possible for our customers.
As a Senior Engineer, you’ll tackle complex challenges, develop multiple solutions, and evaluate business and technical trade-offs to determine the best path forward. You’ll also act as a leader and mentor, and drive key technology decisions. Additionally, you’ll be responsible for deploying well-designed, thoroughly tested solutions that ensure reliability and performance.
The New Products team drives Klaviyo’s most ambitious innovations—creating and scaling the company’s boldest new bets. As a nimble group with a flat structure and fast-moving culture, we prioritize simplicity, speed, and impact. Every team member is expected to take radical ownership—rolling up their sleeves, collaborating across disciplines, and pushing beyond traditional role boundaries to make things happen. Success in this role means delivering exceptional work that sets the standard for velocity and results company-wide, while helping shape Klaviyo’s future through experimentation, creativity, and executional excellence.
What We’re Looking For
- A proven track record of building high-quality products and systems, with pride in writing clean, high-quality code.
- 7+ years of experience in a software engineering role.
- Strong experience developing end-to-end software solutions or extensive experience with both front-end and back-end technologies.
- Experience leading projects and being accountable for their outcomes.
- Experience mentoring team members or driving initiatives that help the team learn new skills.
- Experience conducting code reviews and running a robust testing cycle.
- Experience working in agile, fast-paced environments.
- You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.
- Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.
Nice to Have
- Skills with Python and related technologies
- Skills with React and related technologies
- Experience developing digital marketing or customer data software solutions.
- Experience with machine learning.
- Experience building cloud-native solutions, ideally with AWS.
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
#indeedRD
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Location: Boston Hybrid (3 days/week in office)
Why You Should Join the Flows Insights & Management Team
The Flows Insights & Management team is building the foundation for how Klaviyo customers create, manage, and configure their Klaviyo-powered automations. This team also owns the reporting experiences that allow our customers to understand the performance and impact of their Flows. By joining the Flows I&M team, you will have the opportunity to have a direct impact on over 170,000 brands that use Klaviyo every day to engage with their customers.
As the Engineering Manager for the Flows Insights & Management team, you will lead a group of fullstack engineers and collaborate with other engineering teams to build and evolve Klaviyo’s Flows product as our customer’s needs evolve.
You will be responsible for guiding execution on major new Flows features, including additional sending channels, intelligent personalizations, technical evolution, and scalability. This role blends technical leadership, architectural direction, and people management.
As the Engineering Manager of one of our flagship products, this role requires excellent communication and collaboration skills. You will work closely with product managers, product designers, support, and many other engineering teams to extend and drive evolution of the Flows product.
How You Will Make a Difference
- Lead a team of engineers delivering fullstack, customer-facing features used across Klaviyo’s Flows product offering
- Set technical direction for multi-channel Flows (e.g., email, SMS, push), including intelligent personalization and future channel expansion
- Own end-to-end execution: scope initiatives, break down work, align dependencies, and deliver high-quality releases on predictable timelines
- Drive architectural decisions that prioritize scalability, reliability, and maintainability across services, data models, and shared component systems
- Partner closely with Product and Design to translate vision into intuitive, performant user experiences
- Grow and mentor engineers, fostering a high-performance and inclusive team culture
- Collaborate across Klaviyo to align roadmaps and ship cohesive, customer-delighting solutions
- Contribute hands-on via design docs, code reviews, and technical spikes to de-risk complex bets and model engineering excellence
Who You Are
- 8+ years of software engineering experience with strong frontend and backend skills
- 5+ years of engineering management experience, ideally managing fullstack teams.
- Familiarity with frontend technologies like React, TypeScript, and state management tools such as Redux
- Comfortable contributing to backend systems using Python and Django, FastAPI (or equivalent)
- Skilled in system design, reusable component architecture, and scalable frontend platforms
- Familiarity with DevOps tooling, cloud infrastructure (AWS), Terraform, etc.
- Proven track record delivering complex features in fast-paced, product-led environments
- Clear communicator, collaborative leader, and committed to continuous team improvement
- You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.
Technologies We Use
- React, TypeScript, Redux
- Python, Django, FastAPI
- MySQL, Redis, RabbitMQ, Pulsar,
- GraphQL, RESTful APIs
- AWS, Terraform, Kubernetes
#IndeedRD
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Team Overview:
The mission of the Asynchronous Processing team is to design, build, and operate Klaviyo’s high-scale, event-driven backbone so that every product team can reliably move data through our systems with confidence, no matter the volume. By providing opinionated, self-service platforms for queueing and background processing–grounded in technologies like Golang, Python, Apache Pulsar, Kafka, SQS, AWS, and Kubernetes–we enable engineering teams to focus on customer impact while we ensure their workloads are fast, observable, cost-efficient, and resilient by default.
As a Senior Platform Engineer on the Asynchronous Processing team, you will architect, build, and operate the large-scale, event-driven backbone that powers Klaviyo, crafting paved-path primitives on top of Golang, Python, Apache Pulsar, Kafka, and SQS running in AWS and Kubernetes. You’ll design and evolve resilient, multi-tenant queueing and processing platforms that safely handle massive spikes in traffic, process millions of messages per second with low latency, and provide simple, self-service APIs and tooling that enable product teams to move fast and with confidence. From core data models and routing patterns to observability, autoscaling, and failure isolation, you’ll own systems that must be rock solid at scale, partnering closely with engineers across the company to turn complex distributed-systems problems into intuitive, reliable building blocks.
This role is for senior engineers who love taming large-scale distributed systems and turning real-world asynchronous workloads into reliable, scalable platforms. You’ll work on highly visible infrastructure at the heart of Klaviyo’s event-driven backbone, directly shaping how thousands of Klaviyos build, ship, and operate products every day.
How You’ll Make an Impact:
The Asynchronous Processing team builds and operates Klaviyo’s high-scale, event-driven backbone that powers reliable, low-latency async workloads for every product team. As a Senior Platform Engineer on the Asynchronous Processing team, you will:
- Build a deep understanding of engineering needs across the organization, guiding the design and development of appropriate platform primitives in queueing that align with the platform's vision and practically empower product teams.
- Design, develop, and deliver software to dramatically improve the availability, scalability, latency, and efficiency of Klaviyo's asynchronous and queueing services.
- Design and develop systems and processes that enable highly available & scalable systems, with a focus on asynchronous processing.
- Leverage technology such as Python, Golang, AWS, and Kubernetes to advance Klaviyo's platform, with a deep focus on Apache Pulsar, SQS, and Kafka.
- Champion best practices by actively collaborating with other teams in a culture that values technical design review.
- Mentor and pair with other Klaviyo engineers to build better software by focusing on performance, self-healing systems, configuration as code, and defensive programming.
- Participate in periodic on-call duties with a focus on solving issues when they are discovered, preventing recurrences and minimizing alert fatigue.
Who You Are:
- You are passionate about building software effectively and for the long term, balancing technical quality, velocity, and business impact.
- BA or BS Degree in Computer Science, related field, or equivalent experience.
- You typically bring 6+ years of hands-on software development experience building and operating highly available, full-stack SaaS products at scale, or have demonstrated equivalent proficiency and impact.
- You are independently responsible for the full lifecycle of complex projects or features, including discovery, technical design, implementation, rollout, and ongoing maintenance. You provide clear technical direction for others involved.
- You own the operational health of the systems you build, including performance, reliability, and observability. You are comfortable defining and upholding SLOs, participating in on-call, and driving follow-through on incidents and RCAs.
- Familiarity with cloud infrastructure (AWS preferred), infrastructure-as-code (Terraform), and containerized environments (Kubernetes), including how to design services that run reliably at scale in those environments.
- Expertise and hands-on experience with asynchronous processing and queueing systems like SQS, Kafka, or Apache Pulsar.
- Ability to handle yourself and complex systems in outage situations and to drive failures to root cause analysis and prevention of future issues.
- You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.
- You question convention and proactively look for ways to improve, whether that’s workflows, architecture, tooling, or team processes. You are intrinsically motivated to drive incremental and step-change improvements that deliver value to the business.
- You are an excellent communicator and collaborator. You lead technical discussions at the project and product-area level, write clear technical design documents and RFCs, and keep stakeholders aligned on progress, risks, and trade-offs.
- You mentor and support other engineers, offering thoughtful feedback in design and code reviews, helping refine specifications, and investing in the growth of more junior engineers on the team.
- You enjoy working on small, autonomous, agile teams, shipping early and often, pairing with product managers, business stakeholders, and other engineers to craft better software.
Nice to Have:
- Fundamental understanding of Linux and all layers of the networking stack; you should be confident administering and debugging production Linux systems.
- Practical experience building high availability systems at scale with Apache Pulsar.
Technologies We Use:
Klaviyo’s platform is primarily built with Python and React and runs on AWS. Engineers join us from a wide range of technical backgrounds and are supported in learning our stack. Core technologies include:
- Python / Django / FastAPI / GoLang
- Protobuf
- Apache Pulsar / Apache Kafka / SQS
- AWS / Terraform / Kubernetes / Argo / Istio / Kong
Location & Work Model:
This role is based in Boston, Massachusetts and follows a hybrid working model. Klaviyo supports work authorization and relocation for this position.
At Klaviyo, we enjoy tackling meaningful engineering challenges and value people who take ownership, learn continuously, and collaborate openly. We are committed to building inclusive teams and encourage applications from candidates of all backgrounds.
Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at https://klaviyo.tech
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo