Your Role

We’re looking for a Senior Quality Assurance Manager to drive the development of world-class software products used by athletes and fans around the world. In this role, you’ll lead the software quality team responsible for the end-to-end experience and capabilities of our Hudl Focus camera product family.These products provide customers with seamless, real-time access to video and performance insights. 

You’ll play a key role in ensuring high-quality software across the entire stack—including on-device applications, cloud services, and mobile apps—by working closely with cross-functional squads to deliver reliable and innovative solutions.

In this role you will focus on:

• Improving quality. You’ll improve how we build—boosting quality, speeding up delivery, and tracking results along the way. You’ll guide teams in making smart decisions, staying current with best practices, and using that knowledge to boost quality and velocity.
• Coaching. You'll use your technical and quality understanding to guide others to level up their skills. As the point person for product quality, you’ll influence and challenge teams to incorporate quality best practices.
• Automation Strategy & Execution: Own and evolve the test automation strategy to align with the pace of development. You’ll make informed decisions on what to automate, how to approach it, and when to implement it—balancing speed, coverage, and maintainability.

We’re looking to hire near our offices in Omaha and Lincoln, Nebraska, but we’ll consider remote candidates in Kansas City, Chicago, Austin or Dallas.

Must-Haves

• A focus on quality. You understand quality in the big picture and strive to improve quality and velocity. You will utilize data, metrics and user insights to identify areas of improvement and drive changes that enhance the overall product experience.
• Collaborate. You’ll collaborate with cross-functional leaders to plan and deliver product enhancements while integrating diverse perspectives to drive innovation and ensure high product standards.
• Drive technical excellence. You’ll guide your team in developing robust, scalable automation frameworks and quality solutions across the product ecosystem. Your technical expertise will be crucial for identifying gaps, solving complex challenges, and integrating quality throughout the development lifecycle. You’ll champion engineering best practices, ensure testability, and enable faster, more reliable delivery through intelligent automation and data-driven insights.
• A customer focus. You think critically about  user experience and ensure our testing approach adapts to customer workflows.
• Team leadership & development. You’re a proven people leader. You have managed direct reports through hiring, onboarding, performance evaluation and fostered team growth. Demonstrated leadership experience includes the ability to mentor and elevate the skills of individuals within a team.

Nice-to-Haves

• A working knowledge of U.S. sports. A general understanding of sports like basketball and American football are a plus.
• Domain knowledge in hardware: Experience working with or alongside hardware teams—whether in product development, integration, or testing—to bridge software and hardware requirements effectively.

Our Role

• Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas. 
• Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech stack and hardware to do your best work.
• Support your mental and physical health. We care about our employees’ wellbeing. Our Employee Assistance Program, employee resource groups and fitness partner Peerfit have you covered.
• Cover your medical insurance. We have multiple plans to pick from to ensure you’ll have the coverage you (and your dependents) want, including vision, dental, fertility healthcare and family forming benefits.
• Contribute to your 401(K). Yep, that’s free money. We’ll match up to 4% of your own contribution.

Compensation

Your Role

We're seeking an experienced, automation-focused Quality Assurance Engineer II to join our Mobile team to help us deliver high-quality products. This team develops specialized mobile applications designed to manage and control the Hudl smart camera systems. It allows coaches and administrators to automate the recording and uploading of sports videos for indoor and outdoor venues without needing a dedicated camera operator. Your primary mission will be to be the testing expert within your cross-functional squad, ensuring the delivered product meets the highest standards of quality, reliability, and performance. You will actively guide technical testing discussions and challenge the team to maintain high standards.

In this position, you’ll:

• Own testing. Lead the squad's testing efforts, using your customer and system understanding to ensure our products meet and exceed user expectations.
• Automate. By aligning our processes with development speed, you’ll make informed decisions on what, how, and when to automate.
• Collaborate. You’ll be an integral part of a cross-functional team, working closely with coworkers across Engineering, Product, Design, and Scrum, all to ensure the delivery of high-quality products.

Location

We’re looking to hire near our offices in Omaha and Lincoln, Nebraska, but we’ll consider remote candidates in Kansas City, Chicago, Boston, Austin or Dallas.

Must-Haves

• Experienced. You have 2+ years of software testing experience and a strong understanding of the product life cycle.
• Technically proficient. You have hands-on experience with iOS and Android mobile app automation and approach testing with a strong customer and user-experience focus.
• A natural problem solver. You think outside the box to find creative ways to break software and can navigate shifting deadlines in a fast-paced environment.
• A team player. You default to trust and work effectively with global teams, using your communication skills to build empathy and alignment.

Nice-to-Haves

• Contract Testing Exposure Familiarity with the concepts of contract testing, with exposure to common tools (e.g., Pact), particularly for validating API and backend service compatibility.
• AI Tool Exposure. Curiosity and exposure to leveraging AI tools (such as LLMs, specialized coding assistants, or test data generators) to increase efficiency in documentation, test case creation, or initial failure diagnosis.
• Sports knowledge. You are passionate about American Football and are keen to learn more.

Our Role

• Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas. 
• Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech stack and hardware to do your best work.
• Support your mental and physical health. We care about our employees’ wellbeing. Our Employee Assistance Program, employee resource groups and fitness partner Peerfit have you covered.
• Cover your medical insurance. We have multiple plans to pick from to ensure you’ll have the coverage you (and your dependents) want, including vision, dental, fertility healthcare and family forming benefits.
• Contribute to your 401(K). Yep, that’s free money. We’ll match up to 4% of your own contribution.

Compensation

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.

Position Summary

Join our team as an HR Coordinator and become the driving force behind our exceptional employee culture, from the moment a new hire walks through the door to their final farewell. You will own the entire employee lifecycle, spearheading engaging experiences, coordinating vital Diversity, Equity, and Inclusion (DEI) initiatives, and planning memorable company events. If you are a proactive, organized, and tech-savvy individual excited to leverage AI and automation to scale HR efficiency while keeping a deeply people-focused approach, this is your opportunity to make a real impact.

This is a full-time position based in the Boston, MA office with a hybrid schedule requiring on-site presence 3 days per week.

Key Responsibilities

HR Coordination

• Support day-to-day HR operations, including employee records management, and HRIS updates, leveraging AI and automation tools to improve accuracy and efficiency
• Ensure compliance with state employment laws and regulations, including wage requirements, leave policies, and reporting obligations
• Assist with benefits administration, employee inquiries, and HR policy communication, including researching and implementing tools to automate and scale responses while maintaining a high-quality employee experience
• Process and manage end-to-end payroll for employees, ensuring accuracy and timeliness
• Coordinate and support Diversity, Equity, and Inclusion (DEI) initiatives and meetings, driving engagement and fostering an inclusive workplace culture
• Manage end-to-end employee offboarding process, including drafting separation paperwork, ensuring compliance with company policies, and accurately processing terminations within Rippling, leveraging automated workflows and AI tools to improve efficiency and reduce manual errors.

Onboarding & Training Coordination

• Manage and continuously improve the onboarding experience for new hires, ensuring a seamless introduction to our company values and culture, while incorporating AI-driven tools to scale onboarding workflows
• Coordinate orientation sessions, training schedules, and cross-functional onboarding activities
• Partner with managers to ensure role-specific training plans are executed
• Track onboarding progress, analyze feedback, and recommend improvements using data 

Administrative Support

• Coordinate office operations by managing vendors, ordering supplies and snacks, maintaining shared spaces, and submitting facility and building service requests
• Provide comprehensive administrative support to the HR team, contribute to special projects and initiatives, and plan and execute company events that strengthen team morale and celebrate our company culture
• Coordinate company-wide meetings, and oversee internal communications, ensuring all participants are prepared and aligned for effective collaboration
• Identify and implement opportunities to enhance operational processes through AI-driven solutions, improving efficiency, accuracy, and overall team productivity

Qualifications

• Bachelor’s degree in Human Resources, Education, Organizational Development, or related field (or equivalent experience)
• Minimum of 1-2 years of experience in HR coordination
• Familiarity with HRIS, experience with Rippling is a plus 
• Demonstrated proficiency in Excel for data management, analysis, and reporting to inform HR recommendations and track progress against goals
• Strong organizational skills and attention to detail
• Excellent written and verbal communication skills
• Ability to manage multiple priorities and work independently

Salary Range:  $62,900 - $85,100

Summary:

As a Solution Architect at Paperless Parts, you will play a pivotal role in bridging the gap between our customers’ business needs and our product’s technical capabilities. You’ll partner closely with both our Sales and Professional Services teams to ensure customers receive solutions that are technically sound, scalable, and aligned with their strategic objectives.

In the pre-sales stage, you’ll work alongside Account Executives and Solutions Engineers to engage prospects in discovery, evaluate their manufacturing workflows, and scope tailored solutions. This includes identifying integration requirements (ERP, CRM), determining implementation complexity, and shaping Statements of Work and project plans that set realistic expectations.

Post-sale, you’ll be a resource to the implementation teams, providing context and guidance around our services engagements, ensuring a smooth path to go-live. You’ll act as the technical lead on large implementation projects, partnering with project managers, engineers, and customer stakeholders to deliver lasting value through platform adoption.

This role is ideal for someone who thrives at the intersection of manufacturing process expertise, technical systems knowledge, and customer-facing collaboration.

This is a full-time position based in Boston, MA and requires on-site presence, with a hybrid schedule as needed.  

Responsibilities

• Lead technical design and business process discovery sessions to identify client requirements, uncover operational challenges, align solutions with strategic business goals, and develop a scope of work.
• Develop and deliver customized solution proposals tailored to client-specific use cases.
• Create statements of work and pricing for custom services engagements.
• Provide technical guidance on software integration, deployment, hosting, and security considerations.
• Partner closely with Account Executives to drive sales opportunities and build strong customer relationships.
• Support the development of business and technical content for proposals, statements of work, and best practices ensuring alignment with customer needs.
• Provide design and deliver support for high-impact solutions by collaborating with Professional Services teams to translate customer requirements into actionable technical architectures and implementation plans.
• Collaborate cross-functionally with Product, Engineering, and Services teams to ensure successful solution delivery.
• Provide structured product and industry feedback to internal teams to influence product roadmap and ensure alignment with customer needs and market trends.
• Represent Paperless Parts at customer sites and industry events; travel up to 25% as needed.
  
  

Requirements

• Bachelor's degree in Business, Computer Science, Mechanical Engineering, or a related field.
• Minimum 3 years of experience in a Solution Architect, Sales Engineer, Consultant, or similar client-facing technical role.
• Hands-on experience designing and delivering integrated solutions using modern APIs.
• Proficiency with REST APIs, SQL, and scripting or automation using Python (preferred).
• Solid understanding of manufacturing workflows, processes, and digital transformation challenges.
• Strong ability to quickly learn and apply technical concepts in dynamic environments.
• Proven success in conducting discovery sessions and translating client needs into viable solutions.
• Excellent problem-solving, analytical, and troubleshooting skills.
• Strong communication and presentation skills; able to explain technical concepts to diverse audiences.
• Collaborative mindset with the ability to build trust and influence both clients and internal stakeholders.
• Programming experience or familiarity with tools like JavaScript, Excel scripting, or automation frameworks is a plus.
• Willingness to travel up to 25% for client meetings, training, or industry events.

Salary range: $110,000-$150,000

This role is also eligible for bonus.

The job posting range is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee’s pay position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, performance, sales or revenue-based metrics, and business or organizational needs.

About Klaviyo

Klaviyo empowers creators to own their destiny by making first-party data accessible and actionable like never before. We see innovators building incredible businesses every day using Klaviyo's platform, and we're here to make sure they have everything they need to succeed. We're a company that puts customers first, leads with curiosity, and builds with velocity.

We're looking for people who are excited about solving hard problems, who thrive in a fast-paced environment, and who want to make a meaningful impact on how businesses grow.

About the Role

We're looking for a Director of Security Risk and Trust who breaks the mold of traditional compliance leadership. This isn't a role where you'll spend your days pushing spreadsheets and chasing attestation deadlines—this is a role where you'll engineer solutions to governance and compliance challenges at scale, build systems that make security and trust a competitive advantage, and lead a team that operates at the intersection of security engineering, risk management, and regulatory compliance.

You'll own the strategy and execution of Klaviyo's Risk and Trust program, partnering deeply with Engineering, Product, Legal, IT, and business teams to embed compliance and risk management into how we build and operate—not bolt it on after the fact. You'll bring a strong technical foundation and an engineering mindset to everything you do, from designing automated compliance pipelines to developing governance frameworks for AI/ML systems. You'll need to be as comfortable reading Terraform configs and reviewing architecture diagrams as you are presenting risk posture to executive leadership.

This role reports to the CISO and is a critical member of the Security leadership team.

How You'll Make a Difference

Build and Own the Risk and Trust Strategy

• Define and execute a forward-looking strategy that scales with Klaviyo's growth, product evolution, and expansion into new markets and regulated industries
• Develop a risk management program that quantifies and communicates risk in terms the business can act on—not just heat maps, but data-driven models that inform real decisions
• Own the compliance roadmap across frameworks including ISO 27001, ISO 42001, ISO 27017, ISO 27018, SOC 2 Type II, HIPAA, GDPR, CCPA/CPRA, and emerging AI governance regulations, identifying where frameworks overlap and engineering unified control sets rather than duplicating effort
• Translate regulatory and compliance requirements into clear, actionable engineering requirements that development teams can implement without ambiguity

Engineer Solutions, Don't Just Document Them

• Build and maintain compliance-as-code infrastructure—automated evidence collection, continuous control monitoring, and policy-as-code implementations that reduce manual toil and increase assurance
• Design and implement tooling and integrations (leveraging APIs, scripting, and orchestration platforms) that connect GRC workflows with engineering systems (CI/CD pipelines, cloud infrastructure, identity platforms, etc.)
• Partner with Engineering and Platform teams to embed security and compliance controls directly into the software development lifecycle, infrastructure provisioning, and deployment pipelines without introducing toil or friction
• Evaluate, select, and optimize platforms and technologies, building automation that turns compliance from a periodic exercise into a continuous, real-time capability

Lead AI Security Governance

• Develop and implement a comprehensive AI/ML governance framework aligned with ISO 42001, the EU AI Act, NIST AI RMF, and emerging global AI regulations
• Partner with ML/AI and Data Science teams to establish security and compliance guardrails for model development, training data governance, model monitoring, and responsible AI deployment
• Conduct and oversee risk assessments specific to AI/ML systems, including risks related to data poisoning, model integrity, bias, prompt injection, and supply chain threats in the AI ecosystem
• Stay ahead of the rapidly evolving AI regulatory landscape and proactively position Klaviyo's governance posture to meet or exceed emerging requirements

Drive Cross-Functional Impact

• Partner with Product and Engineering leadership to ensure security and compliance are built into product design from day one—acting as a trusted technical advisor, not a blocker
• Collaborate with Legal and Privacy teams to operationalize regulatory requirements and ensure alignment between legal interpretation and technical implementation
• Work with Sales, Customer Success, and Trust teams to support customer-facing security and compliance needs, including customer audits, security questionnaires, and trust documentation
• Engage with executive leadership and the Board to communicate risk posture, compliance status, and strategic GRC investments in clear, business-relevant terms

Get Your Hands Dirty

• Roll up your sleeves and do the work—conduct technical risk assessments, review architecture designs, write automation scripts, troubleshoot control gaps, and dive into the details when it matters
• Personally lead critical compliance initiatives, audit responses, and incident-driven governance activities when the stakes are high
• Maintain deep technical currency by staying hands-on with cloud platforms (AWS, GCP, Azure), infrastructure-as-code tools, security tooling, and modern software development practices

What We're Looking For

Must-Haves

• 10+ years of experience in security, governance, risk, and compliance, with at least 5 years in a leadership role building and scaling programs at high-growth technology or SaaS companies
• Strong engineering and technical foundation—you've written code (Python, Go, or similar), built automation, worked in cloud-native environments, and can engage deeply with engineering teams on technical design and implementation
• Deep expertise across multiple compliance frameworks including ISO 27001, ISO 42001, ISO 27017, ISO 27018, SOC 2, HIPAA, GDPR, and SOX IT controls, with a demonstrated ability to rationalize and unify controls across overlapping frameworks
• Demonstrated experience in AI/ML security and governance, including familiarity with AI-specific risk frameworks, responsible AI principles, and the unique security challenges of machine learning systems
• Hands-on experience with cloud infrastructure and security (AWS strongly preferred), including understanding of IAM, networking, encryption, logging/monitoring, and infrastructure-as-code (Terraform, CloudFormation, etc.)
• Proven ability to build compliance-as-code and automated GRC capabilities, including evidence collection automation, continuous monitoring, and integration with engineering toolchains
• Exceptional cross-functional leadership skills—you've successfully partnered with Engineering, Product, Legal, and executive stakeholders to drive security and compliance outcomes without relying on authority alone
• Experience managing external audits and regulatory examinations end-to-end, with a track record of clean results and efficient audit processes

Strong communication skills with the ability to translate complex technical and regulatory concepts for diverse audiences—from engineers to board members

The Demand Gen Coordinator plays a critical operational role in managing the full funnel of inbound demand generation (DG) leads. The ideal candidate is detail-oriented, highly responsive, and comfortable using technology to scale communications and streamline manual tasks. 

This role is 100% onsite based out of Boston (Newbury St.)

Key Responsibilities

• Build, QA, and launch campaigns end-to-end across multiple markets and brands
• Turn core assets (eGuides, webinars, insights) into ads, emails, and landing pages
• Support paid media execution and creative testing (copy, formats, audiences)
• Build and optimize landing pages to improve conversion rates
• Manage webinar setup, logistics, and follow-up communications
• Track campaign performance (cost per lead, conversion rates, engagement) and recommend improvements
• Research and test new acquisition channels
• Use AI tools to accelerate content creation, campaign builds, and testing
• Own campaign project management - timelines, deliverables, and cross-team coordination from brief to launch
• Manage content and asset production - ensuring ads, emails, landing pages, and creative are developed, QA’d, and delivered on time

Required Qualifications

• 2 - 4 years of experience in demand generation, marketing operations, or B2B sales support
• Hands-on experience running Meta (Facebook/Instagram) ad campaigns - campaign creation, audience building, bid strategy, creative testing
• Excellent communication, organizational, and project management skills
• Highly responsive and comfortable in a fast-paced, cross-functional environment
• Savvy with AI tools (e.g., ChatGPT, Gemini, etc.) and capable of developing content prompts and sales messaging for automation
• Strong analytical instincts; able to monitor patterns in lead flow and performance

Compensation:

The pay range for this position is a base pay of $30–$36 hourly ($62,400–$75,000 annually); however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.

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

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.

Product Manager, Orchestration (Flows)

About the Team
Klaviyo’s Core Product team is responsible for the foundational experiences that power how marketers build, automate, and manage customer engagement. This includes the core surfaces and systems behind campaigns, flows, forms, profiles, lists, and segments — the building blocks brands rely on to create personalized, automated marketing programs.

A central part of this ecosystem is the editor and orchestration layer — the experience where customers design and manage complex marketing workflows. From creating multi-step flows to coordinating campaigns across channels, this area sits at the heart of how customers use Klaviyo to operate their marketing. 

The team focuses on making powerful automation accessible and intuitive, helping customers translate complex marketing strategies into simple, scalable workflows that drive growth and retention.

The Role
We’re looking for a Lead Product Manager to own product development for Klaviyo’s Orchestration experience, with a particular focus on the workflows and editor surfaces used to build and manage marketing automation.

Flows are one of the most critical parts of the Klaviyo platform, enabling brands to create sophisticated lifecycle marketing programs. In this role, you will shape the future of how customers design, manage, and optimize these workflows, ensuring powerful capabilities remain intuitive and easy to use.

You’ll partner closely with engineering, design, data, and go-to-market teams to evolve the orchestration experience across the platform. This role will work with an engineering team of roughly 8–10 engineers and collaborate closely with another Product Manager in the broader core product area.

This is a highly customer-facing role where deep empathy for marketers and a strong design sensibility are essential. The ideal candidate is comfortable translating complex systems into simple, elegant product experiences and regularly engaging directly with customers to inform product direction.

What You’ll Do

• Own product strategy and roadmap for key orchestration experiences across flows, campaigns, and the Klaviyo editor
  
  
• Lead the evolution of Flows, one of Klaviyo’s most widely used automation capabilities
• Simplify complex marketing workflows into intuitive, scalable product experiences
• Partner closely with design to deliver thoughtful, high-quality UX for core product surfaces
• Work with engineering to build reliable, scalable systems that support sophisticated automation use cases
• Meet directly with customers (virtually and in-person) to gather feedback and deeply understand their workflow challenges
• Define and track success metrics including adoption, engagement, and gross churn
• Collaborate cross-functionally with data, support, sales, and marketing teams to ensure successful product adoption

Who You Are

• 5-7+ years of product management experience, ideally working on complex SaaS or workflow-based products
• Experience building customer-facing product experiences with a strong UX focus
• Demonstrated ability to simplify complex systems or workflows into intuitive user experiences
• Strong product design instincts and experience partnering closely with design teams
• Comfortable working closely with engineering on technically complex products
• Experience owning core product surfaces with high usage and business impact
• Highly customer-centric, with experience speaking directly with customers to inform product decisions
• Strong communicator who can align cross-functional teams around product strategy and execution

Why This Role Matters
Marketing automation is the core of the Klaviyo platform, and orchestration is where that power comes to life for customers. The workflows and editor experiences you’ll help shape determine how easily brands can translate complex marketing strategies into real, automated customer journeys.

By making these powerful capabilities intuitive and scalable, this role directly impacts how effectively businesses engage their customers, drive revenue, and grow with Klaviyo. The work you lead will influence some of the most widely used surfaces in the product and play a critical role in ensuring Klaviyo remains the platform marketers rely on to power sophisticated lifecycle marketing at scale. 

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

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 & scaling features end to end from scratch and 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.

Klaviyo operates a real-time data platform 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.

Responsibilities

The Data Automation team builds tooling that helps our Data Platform engineers provision and test infrastructure to power core Klaviyo functionality and generate data-driven insights. As an engineer on this team, you will be responsible for designing, building, and maintaining systems that help us operate our mission critical analytics infrastructure. You will work with a cross functional team to help design systems, create infrastructure, write high quality code, and operate large scale systems in a production environment.

Team Tech Stack

• AWS
• Python
• Terraform
• Kubernetes
• Clickhouse
• DynamoDB
• MySQL
• Kafka
• Spark
• Flink
• Iceberg
• Airflow

Required Skills

• Degree or equivalent experience in a software engineering discipline
• Proficient in using at least one modern programming language
• Able to communicate well
• Able to work with others on a team
• Able to learn continuously and adapt to a high growth environment
• Able to stick with and solve difficult problems
• 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.

Preferred Skills

• Experience designing, building, and operating distributed systems in a cloud computing environment
• Experience provisioning infrastructure using Terraform or a similar infrastructure as code tool
• Experience performance tuning and scaling systems
• Experience with OLTP and OLAP databases
• Experience with high volume data processing and storage systems
• Experience using Linux operating systems

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

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

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

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.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience             

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

We are looking for a Manager, Customer Success Engineering (AI & Cloud Support) who is passionate about delivering exceptional support experiences and building high-performing teams.

As a Manager, CSE (AI & Cloud Support) at DigitalOcean, you will operate as a Support Manager leading a team of Customer Success Engineers (CSEs) supporting strategic customers across cloud infrastructure and emerging AI/ML workloads. Reporting to the Senior Manager of Customer Success Engineering, you will own day-to-day support operations, team performance, and customer experience outcomes.

This role is focused on driving operational excellence while building strong technical depth within the team across AI, GPUs, Kubernetes, Databases and core cloud offerings. You will play a key role in ensuring consistent support coverage, developing SMEs, and partnering cross-functionally with Product and Engineering to improve both customer experience and product quality.

The ideal candidate brings a deep understanding of cloud and AI/ML ecosystems, including machine learning operations (MLOps), and enterprise support, combined with a passion for innovation and automation, and a proven ability to lead teams in delivering “white-glove” experiences for strategic customers.

What You’ll Do:

Team Leadership & Development

• Lead, hire, train, mentor and develop a high-performing team of Customer Success Engineers (CSEs), driving accountability, performance, and career growth
• Establish performance metrics (KPIs/SLAs) and conduct regular 1:1s, performance reviews, and career development planning.
• Own end-to-end support operations, including queue management, escalations, and shift planning to ensure consistent 24x7 coverage.
• Drive improvements in key support metrics such as CSAT, response times, resolution times, and overall support quality.
• Build and strengthen technical expertise within the team across core areas such as Kubernetes (DOKS), Databases, Compute, and AI/ML workloads.
  
  

Strategic Customer Support

• Act as the ultimate point of technical escalation for our largest, most strategic enterprise customers across Cloud and AI/ML workloads, stepping in to manage critical incidents and high-severity (Sev1/Sev2) issues.
• Design and implement customized support plans, SLAs, and escalation pathways tailored to the needs of strategic accounts.
• Partner closely with Technical Account Managers (TAMs), Growth Account Managers (GAM) to conduct Executive Business Reviews (EBRs) and ensure customers are maximizing the value of our Cloud and AI/ML products.
• Proactively identify risks and opportunities within strategic accounts to improve customer experience, adoption, and retention.

Technical & Cross-Functional Operations

• Serve as the Voice of the Customer (VoC) to Product and Engineering teams, synthesizing support data to advocate for bug fixes, feature requests, and UX improvements.
• Own and continuously improve escalation protocols between AI/ML Support and CloudOps, Infrastructure Engineering, and Product — including Jira escalation routing, Sev1 bridge management, and post-incident documentation.
•  Own the development and maintenance of SOPs, escalation runbooks, HVC support playbooks, and knowledge base content — treating documentation infrastructure as a core operational lever for team scalability.
• Contribute to the vision for AI and automation within support—building intelligent tooling and driving the team toward an automation-first model to improve efficiency, scalability, and customer experience.
• Foster a culture of continuous learning, ensuring the team stays ahead of evolving cloud technologies, AI/ML frameworks, and industry trends.

Key Metrics:

• Customer Satisfaction (CSAT) for strategic accounts
• Time to Response and Resolution (TTR) for strategic customers
• Tier 1 resolution rate vs. escalation rate
• Time-to-escalation and engineering handoff SLA adherence
• SLA adherence and escalation response times
• Support productivity and quality (QA scores)
• Post-incident documentation completion rate

What You’ll Add to DigitalOcean:

• Experience: 5+ years of experience in Technical Support, Customer Success, or Technical Account Management within B2B SaaS, Cloud, or AI/ML environments ideally including experience supporting AI-native, high-growth companies with 24x7 production dependencies on GPU infrastructure.
• Leadership: 2+ years of people management experience leading technical, customer-facing teams, preferably in a high-growth, post-acquisition, or rapidly scaling environment.
• Technical Domain Expertise: Solid understanding of AI/ML concepts, including Generative AI, Large Language Models (LLMs), natural language processing (NLP), and MLOps. Deep familiarity with GPU infrastructure (NVIDIA H100/H200, bare metal GPU provisioning) and AI inference workloads is strongly preferred.
• Coding/Integration: Proficiency in reading and debugging code (Python preferred) and troubleshooting RESTful APIs and cloud architecture.
• Communication: Excellent verbal and written communication skills, with the ability to translate complex technical or AI concepts for diverse audiences OR to both highly technical engineers and non-technical business executives.
• Problem-Solving: Proven ability to remain calm under pressure and de-escalate high-stakes situations with enterprise clients.

Preferred Qualifications:

• Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI toolchains (e.g., LangChain, Hugging Face).
• Experience with major cloud platforms (AWS, Google Cloud, Azure) and their native AI/ML services.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• ITIL or equivalent service management certification

Compensation Range: 

• $125,000 - $153,000

*This is a remote role

JR: 2026-7692

#LI-Remote

About SimpliSafe

We’re a high-tech home security company that’s passionate about protecting the life you’ve built and our mission of keeping Every Home Secure. And we’ve created a culture here that cares just as deeply about the career you’re building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don’t just want you to work here. We want you to grow and thrive here.

We’re embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday and Wednesday, to work together in person, and teams can choose where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done.

Why are we hiring?

Well, we’re growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure. 

What You’ll Do

As a Embedded Software Engineer II specializing in Wireless Networking, you will be a focused on the Systems Engineering task of optimizing SimpliSafe’s Wireless communications systems to optimize performance, resilience and power.  You will be a critical contributor to our product development, focusing on the intricate world of IoT device connectivity. This role demands a profound understanding of not only wireless radio and communication stacks but also the entire networking stack, from the physical layer up to the application. You will be responsible for debugging complex issues and meticulously optimizing every layer of the network stack to achieve unparalleled performance, reliability, and power efficiency in our cutting-edge IoT and camera devices.

This is a hands-on role where you will dive deep into firmware, analyze network traffic, and collaborate closely with hardware, software, QA and cloud teams to deliver robust and highly optimized wireless solutions.

Responsibilities:

• Full Communications Stack Network Debugging & Optimization: Diagnose and resolve complex network connectivity, throughput, latency, and reliability issues across the entire networking stack, from the wireless radio (PHY/MAC layers) through TCP/IP and up to the application layer on embedded IoT devices.
• Protocol Implementation & Tuning: Implement, port, and optimize low power wireless (802.11, HaLow, Thread) and TCP/IP protocols to meet specific performance, power, and memory constraints of embedded systems.
• Performance Analysis: Conduct in-depth performance analysis of wireless and networking stacks, identifying bottlenecks and proposing innovative solutions for optimization (e.g., retransmission strategies, buffer management, concurrency, power management, scheduling).
• Root Cause Analysis: Perform detailed root cause analysis of intermittent and hard-to-reproduce networking issues using advanced debugging techniques and tools.
• Cross-Functional Collaboration: Work closely with hardware engineers to characterize RF performance, integrate drivers, and troubleshoot hardware-firmware interactions. Collaborate with application software developers to ensure seamless integration and optimal use of network services.
• Testing & Validation: Define and help develop and comprehensive test plans for wireless our QA and Automation teams to include unit, integration, and system-level tests.
• Stay Current: Keep abreast of the latest advancements in wireless technologies, networking protocols, and embedded systems.
• Travel: Willing to travel to Asian manufacturing partners 1-3 times per year

Required Skills & Experience:

• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• 5+ years of experience in embedded firmware development with a strong focus on wireless networking.
• Expert-level proficiency in C/C++ for embedded systems.
• Deep understanding of the entire TCP/IP networking stack (Layers 2-7), including Ethernet, IP, TCP, UDP, DNS, DHCP, Thread, etc.
• Extensive experience with WiFi (802.11) protocols, including MAC layer operations, roaming, power saving modes, and coexistence.
• Hands-on experience with embedded operating systems including FreeRTOS and Linux. 
• Experience with various microcontrollers (e.g., ARM Cortex-M/R) and their peripherals.
• Proven ability to optimize embedded networking stacks for throughput, latency, power consumption, and memory footprint.
• Strong understanding of network security concepts, protocols, certificates/keys, firewalls, packet inspection and filtering.
• Familiarity with the following tools:
• Wireshark, Communications Analyzer, Traffic/Load generators, Network throttling, Wireless impairment test setups.

Preferred Qualifications:

• Experience with Matter/Thread networking a plus.
• Familiarity with cloud platforms (AWS IoT) and their connectivity requirements.

What Values You’ll Share

• Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.
• Aim High - Always challenging ourselves and others to raise the bar.
• No Ego - Maintaining a “no job too small” attitude, and an open, inclusive and humble style.
• One Team - Taking a highly collaborative approach to achieving success.
• Lift As We Climb - Investing in developing others and helping others around us succeed.
• Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.

What We Offer

• A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive  
• A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here)
• Free SimpliSafe system and professional monitoring for your home. 
• Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change.

The target annual base pay range for this role is $118,600 to $174,000.

This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees’ job-related skills, experience, qualifications, work location, and other relevant business factors. 

Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here.

We’re committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values.

We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact careers@simplisafe.com.

About the Role

We are seeking a highly motivated and detail-oriented Senior Accountant to join our Accounting team. Reporting to the Accounting Manager, this role will own complex accounting areas, support the monthly and quarterly close process, and play a key role in ensuring accurate, timely, and compliant financial reporting. The Senior Accountant will work cross-functionally within Finance and across the business, support external audits, and help drive process improvements as the company continues to scale.

This role offers meaningful exposure to technical accounting topics, senior finance leadership, and ongoing opportunities to improve and optimize accounting processes in a fast-paced, growing environment.

What You’ll Do

• Own and manage complex areas of accounting, ensuring accuracy and compliance with GAAP
• Support and drive key aspects of the month-end and quarter-end close, including journal entries, account reconciliations, variance analysis, and reporting
• Review work prepared by Staff Accountants and provide coaching and feedback to support development
• Apply a strong understanding of SOX principles, including the design, execution, and documentation of internal controls
• Partner with external auditors by preparing audit requests, responding to inquiries, and supporting audit walkthroughs and testing
• Collaborate cross-functionally with FP&A, Procurement, Legal, and other teams to support accurate financial reporting
• Analyze financial results to identify discrepancies, risks, and opportunities for improvement
• Lead and support process improvement initiatives to increase efficiency, accuracy, and scalability
• Manage and prioritize multiple work streams simultaneously while consistently meeting deadlines
• Leverage the company’s ERP system (NetSuite preferred) and related tools to ensure accurate and timely reporting
• Leverage AI-powered tools and automation where appropriate to improve accuracy, efficiency, and scalability of accounting processes

What Success Looks Like

• Quickly develop a strong understanding of assigned accounting areas and responsibilities
• Become proficient in the Accounting team’s systems and processes (e.g., NetSuite, Coupa, Workday)
• Identify gaps in existing processes and proactively recommend improvements
• Consistently deliver accurate work while managing competing priorities
• Build strong working relationships across the Accounting team and broader organization
• Begin identifying opportunities to responsibly use AI and automation to streamline workflows, improve controls, and enhance reporting efficiency

Who You Are

• Detail-oriented with strong analytical and problem-solving skills
• Comfortable operating in a fast-paced, evolving environment
• Confident communicator who can work effectively with both internal stakeholders and external auditors
• Highly organized and able to manage multiple priorities at once
• Proactive, collaborative, and continuously looking for ways to improve processes
• Interested in learning and applying new tools and technologies to make work more efficient
• Interested in learning and applying new tools and technologies, including AI-driven solutions, to make work more efficient and impactful

Required Qualifications

• Bachelor’s degree in Accounting or a related field
• 5+ years of progressive accounting experience
• Strong knowledge of GAAP and financial reporting
• Hands-on experience supporting month-end close, reconciliations, and audits
• Demonstrated understanding and application of SOX/internal control principles
• Experience working directly with external auditors
• Strong Excel skills
• Experience working in an ERP system; NetSuite experience strongly preferred
• CPA license or progress toward certification preferred

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.

Compliance is critical to Klaviyo’s success. Our mission is to provide a reliable sending platform for customers by serving as an integral part of Klaviyo’s abuse prevention, detection, and response ecosystem. We balance risk mitigation with customer experience through proactive abuse detection and policy adherence with an educational mindset. The Compliance Operations Analyst plays a key role in reducing risk of abuse on the Klaviyo platform while enabling an optimal customer experience.

In this role, you’ll monitor and investigate compliance operations and abuse issues, partner with industry players and vendors, and work cross-functionally with R&D, Deliverability, and Customer teams to improve long-term outcomes across Klaviyo’s sending footprint.

Ideal candidates are deeply curious, data-driven, and excited to contribute to systems that scale. You thrive in ambiguous environments and know how to balance short-term incident response with long-term process improvement.

How You'll Make a Difference:

Monitoring & Incident Response

• Monitor anti-abuse signals, logs, and alerts to identify likely abuse and separate it from normal behavior; recommend mitigations within established guardrails.
• Investigate and address compliance and deliverability-impacting abuse events, engaging and escalating for timely response and mitigation.
• Perform customer-impacting incident triage to determine scope, urgency, and potential impact; document timelines, key facts, and execute assigned tasks with high follow-through.
• Generate and review reporting related to threat alerts and user log behavior (e.g., unwanted mail rate, time to detection, response time).

Systems & Signal Ownership

• Monitor the health of assigned signals (noise levels, failure modes) and raise issues when behavior deviates from expectations.
• Partner with Engineering and Security to test and implement signal tuning; develop in-depth knowledge of Klaviyo’s sending infrastructure and compliance policies.

Process & Operational Improvement

• Follow standard compliance workflows reliably; flag recurring pain points, failure modes, and opportunities for incremental improvement (e.g., playbook updates, dashboard filters, macro refinements).
• Enhance techniques, workflows, and tools to drive compliance team operations and support strategic growth.
• Contribute to cross-functional projects and initiatives, representing the operational voice of compliance in incident response and program design.
• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Cross-Functional Collaboration & Ecosystem Engagement

• Collaborate with R&D, Deliverability, Security, Customer Success, Support, and Sales; share clear summaries, route work to the right partners, and keep stakeholders informed.
• Coordinate with external vendors (e.g., Sift, aggregators, inbox providers) on day-to-day issues using established channels; document outcomes and surface recurring patterns to senior owners.
• Represent Klaviyo in the anti-abuse community by participating in conferences, forums, and mailing lists (e.g., M3AAWG).
• Stay current on industry trends and emerging threats; bring insights back to influence Klaviyo’s infrastructure strategy.

Knowledge Sharing & Team Contribution

• Write clear case notes, runbook steps, and dashboard annotations; contribute to internal guides and training content.
• Share observations from alerts and incidents with Specialists and peers; participate actively in team reviews and standups.
• Drive knowledge-sharing through documentation, cross-functional training, and thought leadership (e.g., blogs, whitepapers, internal guides).

Who You Are

• Thoughtful communicator—skilled at explaining technical processes clearly in both written and verbal channels, including to non-technical audiences.
• Self-motivated and curious—eager to dive deep into data and infrastructure to understand and solve root causes.
• Calm under pressure—with a track record of navigating fast-paced, ambiguous environments with changing priorities.
• Structured problem-solver—known for technical investigation skills and a logical approach to triage and resolution.
• Process-oriented—constantly thinking about how to improve, automate, or streamline repetitive work.
• Collaborative by nature—thriving on cross-functional partnerships and comfortable engaging directly with customers, internal stakeholders, and technical vendors.
• Growth-oriented—actively seeks feedback, practices new tools and techniques, and applies lessons learned to subsequent work.

Required

• 3+ years in a technical SaaS company, anti-abuse, trust & safety, or compliance operations role—preferably at an ESP or high-volume marketing communications provider.
• Data analysis proficiency—comfortable working with infrastructure-level and behavioral data (e.g., unwanted mail rates, time-to-detection, log behavior); able to pull and review dashboards, spot anomalies, and summarize findings into clear observations and recommendations. SQL or equivalent query experience is strongly preferred.
• AI fluency—understands how AI and automation are used in detection systems and operational workflows; comfortable using approved AI tools (e.g., LLMs, AI-assisted log analysis) to accelerate investigation, summarize incidents, or draft communications, while maintaining human judgment in the loop.
• Anti-abuse and fraud prevention tools—proven experience with platforms such as Sift, Stripe Radar, eHawk, or similar.
• Strong understanding of fraud and abuse landscapes, security protocols, and messaging compliance (email, SMS, privacy standards, and global regulations).
• Monitoring & alerting systems—familiarity with log analysis, signal monitoring, or SIEM-style tools (e.g., Splunk, Datadog, or equivalent); able to read and interpret system logs and alert outputs.
• Familiarity with APIs, email and text message marketing platforms, and e-commerce ecosystems.
• Proficiency with Google Workspace, Zendesk (or equivalent case management), Salesforce, and ticketing systems.
• 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.

Bonus

• Presence or active participation in anti-abuse industry groups (M3AAWG, etc.).
• Experience with SMS/MMS technologies, technical writing, training, or web development.
• Python, pandas, or BI tool experience (e.g., Looker, Tableau) for deeper data analysis.
• Familiarity with workflow automation tools (e.g., Zapier, internal scripting) for building repeatable, scalable processes.

Compliance is critical to Klaviyo’s success. Our mission is to provide a reliable sending platform for customers by serving as an integral part of Klaviyo’s abuse prevention, detection, and response ecosystem. We balance risk mitigation with customer experience through proactive abuse detection and policy adherence with an educational mindset. The Compliance Operations Analyst plays a key role in reducing risk of abuse on the Klaviyo platform while enabling an optimal customer experience.

In this role, you’ll monitor and investigate compliance operations and abuse issues, partner with industry players and vendors, and work cross-functionally with R&D, Deliverability, and Customer teams to improve long-term outcomes across Klaviyo’s sending footprint.

Ideal candidates are deeply curious, data-driven, and excited to contribute to systems that scale. You thrive in ambiguous environments and know how to balance short-term incident response with long-term process improvement.

How You'll Make a Difference:

Monitoring & Incident Response

• Monitor anti-abuse signals, logs, and alerts to identify likely abuse and separate it from normal behavior; recommend mitigations within established guardrails.
• Investigate and address compliance and deliverability-impacting abuse events, engaging and escalating for timely response and mitigation.
• Perform customer-impacting incident triage to determine scope, urgency, and potential impact; document timelines, key facts, and execute assigned tasks with high follow-through.
• Generate and review reporting related to threat alerts and user log behavior (e.g., unwanted mail rate, time to detection, response time).

Systems & Signal Ownership

• Monitor the health of assigned signals (noise levels, failure modes) and raise issues when behavior deviates from expectations.
• Partner with Engineering and Security to test and implement signal tuning; develop in-depth knowledge of Klaviyo’s sending infrastructure and compliance policies.

Process & Operational Improvement

• Follow standard compliance workflows reliably; flag recurring pain points, failure modes, and opportunities for incremental improvement (e.g., playbook updates, dashboard filters, macro refinements).
• Enhance techniques, workflows, and tools to drive compliance team operations and support strategic growth.
• Contribute to cross-functional projects and initiatives, representing the operational voice of compliance in incident response and program design.
• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Cross-Functional Collaboration & Ecosystem Engagement

• Collaborate with R&D, Deliverability, Security, Customer Success, Support, and Sales; share clear summaries, route work to the right partners, and keep stakeholders informed.
• Coordinate with external vendors (e.g., Sift, aggregators, inbox providers) on day-to-day issues using established channels; document outcomes and surface recurring patterns to senior owners.
• Represent Klaviyo in the anti-abuse community by participating in conferences, forums, and mailing lists (e.g., M3AAWG).
• Stay current on industry trends and emerging threats; bring insights back to influence Klaviyo’s infrastructure strategy.

Knowledge Sharing & Team Contribution

• Write clear case notes, runbook steps, and dashboard annotations; contribute to internal guides and training content.
• Share observations from alerts and incidents with Specialists and peers; participate actively in team reviews and standups.
• Drive knowledge-sharing through documentation, cross-functional training, and thought leadership (e.g., blogs, whitepapers, internal guides).

Who You Are

• Thoughtful communicator—skilled at explaining technical processes clearly in both written and verbal channels, including to non-technical audiences.
• Self-motivated and curious—eager to dive deep into data and infrastructure to understand and solve root causes.
• Calm under pressure—with a track record of navigating fast-paced, ambiguous environments with changing priorities.
• Structured problem-solver—known for technical investigation skills and a logical approach to triage and resolution.
• Process-oriented—constantly thinking about how to improve, automate, or streamline repetitive work.
• Collaborative by nature—thriving on cross-functional partnerships and comfortable engaging directly with customers, internal stakeholders, and technical vendors.
• Growth-oriented—actively seeks feedback, practices new tools and techniques, and applies lessons learned to subsequent work.

Required

• 3+ years in a technical SaaS company, anti-abuse, trust & safety, or compliance operations role—preferably at an ESP or high-volume marketing communications provider.
• Data analysis proficiency—comfortable working with infrastructure-level and behavioral data (e.g., unwanted mail rates, time-to-detection, log behavior); able to pull and review dashboards, spot anomalies, and summarize findings into clear observations and recommendations. SQL or equivalent query experience is strongly preferred.
• AI fluency—understands how AI and automation are used in detection systems and operational workflows; comfortable using approved AI tools (e.g., LLMs, AI-assisted log analysis) to accelerate investigation, summarize incidents, or draft communications, while maintaining human judgment in the loop.
• Anti-abuse and fraud prevention tools—proven experience with platforms such as Sift, Stripe Radar, eHawk, or similar.
• Strong understanding of fraud and abuse landscapes, security protocols, and messaging compliance (email, SMS, privacy standards, and global regulations).
• Monitoring & alerting systems—familiarity with log analysis, signal monitoring, or SIEM-style tools (e.g., Splunk, Datadog, or equivalent); able to read and interpret system logs and alert outputs.
• Familiarity with APIs, email and text message marketing platforms, and e-commerce ecosystems.
• Proficiency with Google Workspace, Zendesk (or equivalent case management), Salesforce, and ticketing systems.
• 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.

Bonus

• Presence or active participation in anti-abuse industry groups (M3AAWG, etc.).
• Experience with SMS/MMS technologies, technical writing, training, or web development.
• Python, pandas, or BI tool experience (e.g., Looker, Tableau) for deeper data analysis.
• Familiarity with workflow automation tools (e.g., Zapier, internal scripting) for building repeatable, scalable processes.

Compliance is critical to Klaviyo’s success. Our mission is to provide a reliable sending platform for customers by serving as an integral part of Klaviyo’s abuse prevention, detection, and response ecosystem. We balance risk mitigation with customer experience through proactive abuse detection and policy adherence with an educational mindset. The Compliance Operations Analyst plays a key role in reducing risk of abuse on the Klaviyo platform while enabling an optimal customer experience.

In this role, you’ll monitor and investigate compliance operations and abuse issues, partner with industry players and vendors, and work cross-functionally with R&D, Deliverability, and Customer teams to improve long-term outcomes across Klaviyo’s sending footprint.

Ideal candidates are deeply curious, data-driven, and excited to contribute to systems that scale. You thrive in ambiguous environments and know how to balance short-term incident response with long-term process improvement.

How You'll Make a Difference:

Monitoring & Incident Response

• Monitor anti-abuse signals, logs, and alerts to identify likely abuse and separate it from normal behavior; recommend mitigations within established guardrails.
• Investigate and address compliance and deliverability-impacting abuse events, engaging and escalating for timely response and mitigation.
• Perform customer-impacting incident triage to determine scope, urgency, and potential impact; document timelines, key facts, and execute assigned tasks with high follow-through.
• Generate and review reporting related to threat alerts and user log behavior (e.g., unwanted mail rate, time to detection, response time).

Systems & Signal Ownership

• Monitor the health of assigned signals (noise levels, failure modes) and raise issues when behavior deviates from expectations.
• Partner with Engineering and Security to test and implement signal tuning; develop in-depth knowledge of Klaviyo’s sending infrastructure and compliance policies.

Process & Operational Improvement

• Follow standard compliance workflows reliably; flag recurring pain points, failure modes, and opportunities for incremental improvement (e.g., playbook updates, dashboard filters, macro refinements).
• Enhance techniques, workflows, and tools to drive compliance team operations and support strategic growth.
• Contribute to cross-functional projects and initiatives, representing the operational voice of compliance in incident response and program design.
• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Cross-Functional Collaboration & Ecosystem Engagement

• Collaborate with R&D, Deliverability, Security, Customer Success, Support, and Sales; share clear summaries, route work to the right partners, and keep stakeholders informed.
• Coordinate with external vendors (e.g., Sift, aggregators, inbox providers) on day-to-day issues using established channels; document outcomes and surface recurring patterns to senior owners.
• Represent Klaviyo in the anti-abuse community by participating in conferences, forums, and mailing lists (e.g., M3AAWG).
• Stay current on industry trends and emerging threats; bring insights back to influence Klaviyo’s infrastructure strategy.

Knowledge Sharing & Team Contribution

• Write clear case notes, runbook steps, and dashboard annotations; contribute to internal guides and training content.
• Share observations from alerts and incidents with Specialists and peers; participate actively in team reviews and standups.
• Drive knowledge-sharing through documentation, cross-functional training, and thought leadership (e.g., blogs, whitepapers, internal guides).

Who You Are

• Thoughtful communicator—skilled at explaining technical processes clearly in both written and verbal channels, including to non-technical audiences.
• Self-motivated and curious—eager to dive deep into data and infrastructure to understand and solve root causes.
• Calm under pressure—with a track record of navigating fast-paced, ambiguous environments with changing priorities.
• Structured problem-solver—known for technical investigation skills and a logical approach to triage and resolution.
• Process-oriented—constantly thinking about how to improve, automate, or streamline repetitive work.
• Collaborative by nature—thriving on cross-functional partnerships and comfortable engaging directly with customers, internal stakeholders, and technical vendors.
• Growth-oriented—actively seeks feedback, practices new tools and techniques, and applies lessons learned to subsequent work.

Required

• 3+ years in a technical SaaS company, anti-abuse, trust & safety, or compliance operations role—preferably at an ESP or high-volume marketing communications provider.
• Data analysis proficiency—comfortable working with infrastructure-level and behavioral data (e.g., unwanted mail rates, time-to-detection, log behavior); able to pull and review dashboards, spot anomalies, and summarize findings into clear observations and recommendations. SQL or equivalent query experience is strongly preferred.
• AI fluency—understands how AI and automation are used in detection systems and operational workflows; comfortable using approved AI tools (e.g., LLMs, AI-assisted log analysis) to accelerate investigation, summarize incidents, or draft communications, while maintaining human judgment in the loop.
• Anti-abuse and fraud prevention tools—proven experience with platforms such as Sift, Stripe Radar, eHawk, or similar.
• Strong understanding of fraud and abuse landscapes, security protocols, and messaging compliance (email, SMS, privacy standards, and global regulations).
• Monitoring & alerting systems—familiarity with log analysis, signal monitoring, or SIEM-style tools (e.g., Splunk, Datadog, or equivalent); able to read and interpret system logs and alert outputs.
• Familiarity with APIs, email and text message marketing platforms, and e-commerce ecosystems.
• Proficiency with Google Workspace, Zendesk (or equivalent case management), Salesforce, and ticketing systems.
• 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.

Bonus

• Presence or active participation in anti-abuse industry groups (M3AAWG, etc.).
• Experience with SMS/MMS technologies, technical writing, training, or web development.
• Python, pandas, or BI tool experience (e.g., Looker, Tableau) for deeper data analysis.
• Familiarity with workflow automation tools (e.g., Zapier, internal scripting) for building repeatable, scalable processes.

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.

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.

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.

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

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

Hybrid 3x/week out of Boston.

At Klaviyo, we empower creators and businesses to own their customer relationships. Our platform processes billions of events and powers real-time personalization, automation, and analytics for thousands of customers. At the core of this platform is our data infrastructure — the systems that ingest, store, transform, and serve customer data at scale.

About the Role

The Profile Traits team owns how customer profile data is represented, stored, mutated, and served across Klaviyo. Profile traits are one of the most critical primitives in the platform: they power segmentation, personalization, flows, analytics, and emerging AI-driven features.

As Engineering Manager, Profile Traits, you will lead a team of engineers responsible for building and scaling these foundational systems. This role sits at the intersection of distributed systems, data modeling, and product semantics, with a strong emphasis on correctness, performance, and long-term platform evolution.

You will partner closely with product managers and adjacent platform teams (Events, Identity & Consent, Segmentation, Flows) to ensure profile data remains reliable, fast, and easy to reason about as Klaviyo continues to grow.

What You’ll Do

• Lead, mentor, and grow a team of engineers building Klaviyo’s profile traits platform
• Own systems responsible for profile attribute storage, mutation, and serving
• Drive technical and execution excellence across correctness, latency, and cost
• Partner with product and platform teams to define roadmaps and priorities
• Guide architectural decisions around schema evolution, consistency, and scale
• Participate in design and code reviews to maintain a high technical bar
• Foster a culture of ownership, collaboration, and continuous improvement

What You’ll Work On

• High-QPS, stateful systems supporting real-time and nearline profile updates
• Schema evolution and backward compatibility for long-lived customer data
• Mechanisms for trait computation, backfills, and data migrations
• Improving debuggability, observability, and operational maturity
• Scaling profile read and write paths to support new product capabilities

Who You AreRequired Qualifications

• 8–10+ years of software engineering experience
• 3+ years of engineering management experience
• Experience owning and evolving stateful or data-intensive systems at scale
• Strong understanding of distributed systems tradeoffs
• Proven ability to coach and develop senior engineers
• Experience partnering with Product on ambiguous, platform-oriented problems

Nice to Have

• Experience with high-QPS OLTP systems
• Background in data consistency, data modeling, or schema evolution
• Experience supporting both online and analytical workloads
• Familiarity with cloud-native systems (AWS preferred)

Why This Role Matters

Profile traits are how customers experience their data in Klaviyo. Small decisions in these systems can have outsized impact — from segmentation accuracy to real-time personalization to AI-driven insights. This role offers the opportunity to shape a core platform capability while leading a team solving complex, high-impact technical problems.

Technologies We Use

Our stack evolves with our needs, but today includes:

• Distributed services built primarily in Python and Go
• Cloud infrastructure on AWS
• Stream processing and data pipelines at scale
• A mix of real-time, nearline, and analytical data systems

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

At Klaviyo, we love tackling tough engineering problems and look for engineers who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and 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.

Team Overview:

Klaviyo operates a real-time data analytics platform written primarily in Python that is built for massive scale and hosted on Amazon Web Services (AWS). The Data Automation team builds tooling and establishes best practices and technology choices that help enable the Data Platform area to power core Klaviyo functionality and generate data-driven insights.

As a founding member on the Data Automation team, you will have ownership over defining the technical and organizational vision for the team. You will be responsible for leading the team to design and build systems that help us operate our mission critical analytics infrastructure.

Team Tech Stack:

• AWS
• Terraform
• Python
• Kubernetes
• Clickhouse
• DynamoDB
• MySQL
• Kafka
• Spark
• Flink
• Airflow

How You'll Make a Difference

• You will be responsible for building and managing a team of 7+ engineers to fulfill your data automation vision and roadmap.
• Responsible for coaching engineers, managing/reviewing technical documentation and articulating a phased approach to achieving the team's overall technical vision.
• Be responsible for the mission, technical direction and operations of projects that have immediate impact.
• Wholly owning the frameworks that enable us to provision, update, test, monitor, and scale infrastructure to power features that 183,000+ customers rely on daily to reach 4B+ consumers to drive their business forward.
• Optimizing infrastructure with the teams that own Klaviyo’s analytics system that provides insight on hundreds of terabytes of data.
• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Required Skills

• BA or BS Degree in Computer Science, related field, or equivalent experience
• 8+ years of software engineering experience in a DevOps environment with specific experience in data processing systems.
• 3+ years of people management experience
• Hands-on experience designing, building, and operating reliable, fault-tolerant, and high performance distributed systems
• Ability to handle yourself in outage situations and to drive failures to root cause analysis and prevention of future issues
• Experience writing code using best practices in a language such as Python, Ruby, Go, etc.
• 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.
• Proven ability to come up to speed quickly
• Hybrid office work 3x/week out of our Boston office

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

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

Please note: This position is not eligible for immigration sponsorship. 

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark.

Principal Quality Automation Architect

The Principal Quality Automation Architect designs and scales Accordion's automated quality framework across products, services, and AI-enabled workflows. This impactful role will be critical in owning the architecture behind automated validation, test harnesses, evaluation pipelines, test data strategy, and cross-pod tooling standards.

This position will ideally be based in one of our US offices and is a hybrid role with the flexibility to work remotely 2 days per week (also eligible for remote candidates).

This position is not eligible for immigration sponsorship.

What You’ll Do:

Automation Architecture

• Design and implement the core automation framework for functional, API, integration, regression, and workflow testing
• Define standards for reusable test assets, environment usage, data setup, and evidence capture
• Create scalable approaches to testing complex, multi-system workflows

AI Evaluation Infrastructure

• Build and maintain regression harnesses for AI-enabled features, including prompt and workflow comparisons, scored evaluation runs, and benchmark execution
• Partner with AI quality analysts to support rubric-based testing and measurable release criteria

Test Data & Environment Strategy

• Define approaches for test data, synthetic data, masked data, and scenario generation
• Improve reliability and repeatability of validation environments

Engineering Partnership

• Work closely with software engineers to improve testability, observability, CI/CD integration, and defect prevention
• Help pods move quality checks earlier in the development lifecycle

You Have:

• 7+ years of experience in QA automation, SDET, or quality engineering roles, with a focus on scale, repeatability, and leverage
• Strong experience with test automation frameworks, API testing, CI/CD, and integration validation – you are systems-minded and deeply technical
• Strong scripting or coding skills
• Experience working with data-intensive or workflow-heavy applications
• Exposure to AI or LLM validation tooling or strong interest in building in that space
• Ability to design frameworks, not just individual tests, and comfortability setting standards that others adopt
• Commitment to balancing sophistication with delivery pace
• Bachelor's degree preferred

You Are:

• Excited to be part of a growing team, with a focus on driving future growth
• Passionate about delivering exceptional client service
• Knowledgeable about the relationship between Private Equity sponsors and their portfolio companies, particularly within the office of the CFO
• Willing to get your hands dirty in the details of a project while simultaneously seeing the whole picture
• Comfortable managing projects with multiple complex workstreams while also focused on your single workstream (you are managing and doing)
• A self-starter with a strong work ethic
• Full of entrepreneurial spirit and comfortable in a fluid, flat organization
• Able to effectively communicate complex issues and solutions, and raise issues to senior team members when necessary
• A team player, able to work with team members across all levels
• Someone who enjoys mentoring others and doing meaningful work
• A leader of others; you lead by example

The annual salary for this role ranges from: $150,000 to $190,000 + benefits + bonus.

Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

#LI-HA1

Please note: This position is not eligible for immigration sponsorship. 

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark.

Manager, Quality Engineering & AI Validation

The Manager of Quality Engineering and AI Validation leads Accordion's centralized Quality Engineering and AI Validation function across software delivery pods. This impactful role will be critical in owning the quality operating model, release-readiness standards, test strategy, AI validation framework, and quality metrics used to support both conventional software and AI-enabled solutions. Above all, this leader will ensure quality is designed into delivery from the start, not inspected in at the end.

This position will ideally be based in one of our US offices and is a hybrid role with the flexibility to work remotely 2 days per week (also eligible for remote candidates).

This position is not eligible for immigration sponsorship.

What You’ll Do:

Quality Strategy & Governance

• Define the firm-wide quality strategy, release gates, and validation standards across development pods
• Establish a risk-based quality model for traditional software and AI-enabled workflows
• Define when pod-level validation is sufficient and when independent QA validation is required

AI Validation Leadership

• Build and operationalize the QA approach for AI-led products, including benchmark datasets, scoring rubrics, regression comparisons, and grounded-output validation
• Establish testing expectations for instruction adherence, consistency, business correctness, control compliance, and hallucination risk
• Partner with Engineering and Product leaders on quality implications of prompt, model, workflow, and tooling changes

Team Leadership

• Lead and develop quality engineers, AI quality analysts, and domain-oriented QA resources
• Improve the maturity of automation, evaluation routines, test evidence standards, and release discipline
• Create a scalable central model that supports pods without becoming a bottleneck

Finance & Risk Alignment

• Partner with Finance and practice SMEs to ensure solutions are validated against real business use, materiality, and control expectations
• Ensure high-risk workflows receive the right level of domain review before production release

Production Quality

• Define the framework for production quality monitoring, including escaped defects, output-quality degradation, reviewer overrides, and control failures
• Create visibility into quality trends, readiness, and recurring failure patterns for Engineering and leadership

You Have:

• 8+ years of QA, software testing, or quality engineering experience, including team leadership – you are a builder of quality systems and operating models
• Deep fluency in both engineering quality and business impact
• Experience building test strategy, release-readiness processes, and automation programs in modern software environments
• Experience supporting AI-enabled applications, workflow automation, data products, or decision-support systems
• Strong understanding of functional, integration, regression, API, and data validation approaches
• Ability to translate business-critical finance workflows into quality controls and release criteria
• Comfortability asking tough questions about readiness, risk, and evidence
• Strong communication skills and credibility with Engineering, Product, and business stakeholders – you are structured, pragmatic, and highly credible
• Consistent focus on trust, traceability, and scalable execution
• Bachelor's degree preferred

You Are:

• Excited to be part of a growing team, with a focus on driving future growth
• Passionate about delivering exceptional client service
• Knowledgeable about the relationship between Private Equity sponsors and their portfolio companies, particularly within the office of the CFO
• Willing to get your hands dirty in the details of a project while simultaneously seeing the whole picture
• Comfortable managing projects with multiple complex workstreams while also focused on your single workstream (you are managing and doing)
• A self-starter with a strong work ethic
• Full of entrepreneurial spirit and comfortable in a fluid, flat organization
• Able to effectively communicate complex issues and solutions, and raise issues to senior team members when necessary
• A team player, able to work with team members across all levels
• Someone who enjoys mentoring others and doing meaningful work
• A leader of others; you lead by example

The annual salary for this role ranges from: $165,000 to $205,000 + benefits + bonus.

Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

#LI-HA1

About the team:

Klaviyo’s global corporate Information Technology (IT) team is responsible for providing technology systems, administration, and support to Klaviyos around the world. Our main goal is to ensure that Klaviyos everywhere have a strong technology foundation to do great work. The IT Team solves problems using technology and provides Klaviyo’s continued scalability and sustainable employee growth in a rapidly evolving environment.

The IT Systems team is primarily responsible for SaaS systems administration and end-to-end lifecycle management, building automation, and engineering solutions for both other internal teams and the business. The IT Systems team is highly collaborative, working closely with the IT Searchbar team — our end-user support team — as well as with our Security, Risk, and Trust teams and the broader Engineering department. 

About the role:

As a Lead IT Systems Engineer on the IT Systems team, you will lead the design, implementation, and maintenance of our enterprise SaaS systems. You will spearhead projects that range from SSO/SCIM implementations to complex multi-tool integrations and automations, with a focus on scalability and efficiency. You'll collaborate closely with operations, engineering, and the IT Searchbar team to ensure seamless system performance and act as a technical escalation point for system-related issues. 

How you’ll have an impact

• You’ll mentor team members to grow and develop in their careers and help increase their scope and impact throughout their tenure at Klaviyo. 
• Both give and receive meaningful feedback focusing on empathy, curiosity, and investment in growth.
• Establish team standards, implement frameworks for intake and prioritization of projects and tasks, and establish and monitor objectives and key results (OKRs).
• Partner with the stakeholders to build, maintain, and improve tooling/infrastructure and documentation that helps meet the business needs for today and the future.
• Collaborate with IT and internal teams to automate and improve workflows, implement and enhance escalation processes, and drive IT initiatives.
• Implement new processes, and evaluate and improve existing processes.

Must-Haves (Non-Negotiables):

• A minimum of five years' experience in systems engineering within fast-paced and result-driven environments.
• Proven track record of defining problem statements, managing technical projects, collaborating with stakeholders, and delivering impactful results.
• Extensive experience in Identity Access Management (IAM), including IdP configuration, management, and maintenance (Okta or Azure experience is preferred).
• Strong experience working with enterprise-scale networking topics, including routing, DNS, and building and maintaining multiple global office networks and VPNs.
• Demonstrated proficiency in understanding and integrating Large Language Models (LLMs) or other AI technologies into enterprise systems for automation or process improvement.
• Deep technical knowledge in at least one additional domain: corporate security, endpoint management (Jamf, Intune, or equivalent), cloud infrastructure (GCP, AWS, or Azure), or enterprise SaaS administration(Atlassian,Google Workspace,etc).
• Strong experience in automating workflows and repetitive tasks using scripting (Bash, Powershell, or Python). Python is preferred, and AWS Lambda function experience is a plus. Familiarity with infrastructure-as-code tools (Terraform or Ansible) is a bonus.
• Knowledgeable in vendor management and IT budget management.
• Participation in an after-hours on-call rotation with the IT Systems team is required for site specific or business blocking issues.

Nice-to-Haves:

• IAM & Automation: Design and implement automated security, specializing in Okta Workflows (or similar) for user lifecycle and access/auditing.
• Systems Engineering (High-Growth): Experienced in managing/scaling critical infrastructure in agile, fast-paced SaaS/tech environments; champions security and scalability.
• API Integration: Build custom tools and leverage APIs (RESTful, OAuth 2.0/OpenID Connect) for secure, automated integration of corporate systems.
• Cloud Security (AWS/GCP): Deep, hands-on experience securing and managing AWS and GCP core infrastructure, including:
• Networking/Compute: VPC, EC2, Security Groups/Firewalls, ACLs.
• IAM: Defining and managing least-privilege roles (user, group, service).

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

About SimpliSafe

We’re a high-tech home security company that’s passionate about protecting the life you’ve built and our mission of keeping Every Home Secure. And we’ve created a culture here that cares just as deeply about the career you’re building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don’t just want you to work here. We want you to grow and thrive here.

We’re embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday and Wednesday, to work together in person, and teams can choose where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done.

Why are we hiring?

Well, we’re growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure. 

What You’ll Do

As a Principal Embedded Software Engineer specializing in Wireless Networking, you will be a focused on the Systems Engineering task of optimizing SimpliSafe’s Wireless communications systems to optimize performance, resilience and power.  You will be a critical contributor to our product development, focusing on the intricate world of IoT device connectivity. This role demands a profound understanding of not only wireless radio and communication stacks but also the entire networking stack, from the physical layer up to the application. You will be responsible for debugging complex issues and meticulously optimizing every layer of the network stack to achieve unparalleled performance, reliability, and power efficiency in our cutting-edge IoT and camera devices.

This is a hands-on role where you will dive deep into firmware, analyze network traffic, and collaborate closely with hardware, software, QA and cloud teams to deliver robust and highly optimized wireless solutions.

Responsibilities:

• Full Communications Stack Network Debugging & Optimization: Diagnose and resolve complex network connectivity, throughput, latency, and reliability issues across the entire networking stack, from the wireless radio (PHY/MAC layers) through TCP/IP and up to the application layer on embedded IoT devices.
• Protocol Implementation & Tuning: Implement, port, and optimize low power wireless (802.11, HaLow, Thread) and TCP/IP protocols to meet specific performance, power, and memory constraints of embedded systems.
• Performance Analysis: Conduct in-depth performance analysis of wireless and networking stacks, identifying bottlenecks and proposing innovative solutions for optimization (e.g., retransmission strategies, buffer management, concurrency, power management, scheduling).
• Root Cause Analysis: Perform detailed root cause analysis of intermittent and hard-to-reproduce networking issues using advanced debugging techniques and tools.
• Cross-Functional Collaboration: Work closely with hardware engineers to characterize RF performance, integrate drivers, and troubleshoot hardware-firmware interactions. Collaborate with application software developers to ensure seamless integration and optimal use of network services.
• Testing & Validation: Define and help develop and comprehensive test plans for wireless our QA and Automation teams to include unit, integration, and system-level tests.
• Stay Current: Keep abreast of the latest advancements in wireless technologies, networking protocols, and embedded systems.
• Travel: Willing to travel to Asian manufacturing partners 1-3 times per year

Required Skills & Experience:

• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• 10+ years of experience in embedded firmware development with a strong focus on wireless networking.
• Expert-level proficiency in C/C++ for embedded systems.
• Deep understanding of the entire TCP/IP networking stack (Layers 2-7), including Ethernet, IP, TCP, UDP, DNS, DHCP, Thread, etc.
• Extensive experience with WiFi (802.11) protocols, including MAC layer operations, roaming, power saving modes, and coexistence.
• Hands-on experience with embedded operating systems including FreeRTOS and Linux. 
• Experience with various microcontrollers (e.g., ARM Cortex-M/R) and their peripherals.
• Proven ability to optimize embedded networking stacks for throughput, latency, power consumption, and memory footprint.
• Strong understanding of network security concepts, protocols, certificates/keys, firewalls, packet inspection and filtering.
• Familiarity with the following tools:
• Wireshark, Communications Analyzer, Traffic/Load generators, Network throttling, Wireless impairment test setups.

Preferred Qualifications:

• Experience with Matter/Thread networking a plus.
• Familiarity with cloud platforms (AWS IoT) and their connectivity requirements.

What Values You’ll Share

• Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.
• Aim High - Always challenging ourselves and others to raise the bar.
• No Ego - Maintaining a “no job too small” attitude, and an open, inclusive and humble style.
• One Team - Taking a highly collaborative approach to achieving success.
• Lift As We Climb - Investing in developing others and helping others around us succeed.
• Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.

What We Offer

• A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive  
• A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here)
• Free SimpliSafe system and professional monitoring for your home. 
• Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change.

We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact careers@simplisafe.com.

Klaviyo,the autonomous B2C CRM company, is at an inflection point. We've built something that works and customers love — now the mandate is scaling it with discipline in a market that is being disrupted by AI on a daily basis.  This is an incredible opportunity that requires strategy, change management skills and operating rigor - all things that best in class Business Operations’ teams are known for. The Head of Business Operations owns the system that makes Klaviyo execute. Not a function. Not a program. The whole operating architecture — how strategy gets set, how it cascades, how cross-functional work actually moves, how the leadership team stays aligned, and how the Board stays informed. You will call out what's broken. You will fix it. And you will do it without waiting for permission.

This role sits at the intersection of the CEO, the senior leadership team (LT), and the operational engine of the company. If you've scaled a company through hypergrowth, led the unglamorous work that makes a leadership team actually function, and built operating systems that outlast any individual — this was written for you.

What You'll Own

Business Strategy, Planning & Execution

• Lead the annual and multi-year operating planning process: align the LT on top company priorities, connect initiatives to Annual Operating Plan, and make sure every Klaviyo understands how their work ties to what matters most
• Own the company-wide OKR process end to end — set, cascade, review quarterly, communicate progress, and hold owners accountable to outcomes, not just metrics
• Define and manage company KPIs across functions; run regular performance reviews and operational audits; identify what's off-track and drive resolution before it compounds
• Drive automation of KPIs and OKR results using AI tools and internal agents to provide real-time visibility into data trends and insights
• Own the management operating system: the meetings, the cadences, the decision forums — design how they interact and make sure they're actually moving the company forward, not just filling calendars
• Obsess over operational efficiency: notice what's broken, name it clearly, and fix it — before it becomes expensive

Top Strategic Initiatives

• Lead and/or support Klaviyo's highest-priority cross-functional initiatives — providing functional owners with leverage and making sure execution moves together, not in parallel silos
• Drive alignment on key decisions, manage cross-functional working teams, track deliverables, and own outcomes — including where no one else has clear ownership
• Take on the cross-functional work that matters but doesn't have a natural home, including our evolving AI approach
• Drive consistent reporting and a unified view of the business by collaborating with GTM and R&D Analytics teams. Independently conduct root cause analyses for critical company issues.

CEO & Leadership Team Effectiveness

• Design and run the operating cadences for our Co-CEOs and the senior leadership team: weekly meetings, leadership forums, quarterly offsites, executive planning calendar
• Support preparation of Board meeting materials, agenda, and co-CEO narrative; manage the Board portal; contribute to the multi-year Board calendar
• Keep Board members informed and engaged between meetings — not just the formal book, but the context and momentum they need to govern well
• Attend meetings on behalf of our Co-CEOs as needed; drive follow-through on commitments

Culture & Presence

• Show up visibly across Klaviyo — at all-hands, in team meetings, in KRGs, in global offices
• Be a genuine culture carrier; model what extreme ownership looks like at the operational level
• Champion AI adoption

What We're Looking For

Experience

• 12+ years in business operations, strategic operations, or Chief of Staff roles at high-growth technology companies — ideally with experience across both hypergrowth and post-IPO phases
• Proven track record of building and running a company-wide operating system — OKRs, planning, performance management — not just participating in one someone else designed
• Experience leading through major organizational inflection points: rapid scaling, go-public events, integrations, or significant structural change
• Demonstrated ability to work directly with and influence CEOs and senior leadership teams without relying on positional authority — through clarity, credibility, and quality of thinking
• Experience building and leading high-performing teams; a developer of people, not just a driver of output
• Financial fluency is non-negotiable: comfort with LRP/annual planning cycles, unit economics, and working alongside a CFO and finance org as a true peer — not just a consumer of their outputs
• Background in management consulting or investment banking a plus; operators who built their skills in the trenches are equally valued
• SaaS, B2B software, or marketing technology experience preferred

Skills & Attributes

• Exceptional communicator: writes with precision, speaks with confidence, and can hold a room with a Board narrative or an all-hands equally well
• Moves with urgency: comfortable in short iterative cycles, makes decisions with incomplete information, creates momentum where others create decks
• Operationally obsessed: you notice inefficiency like a splinter; you can't leave it alone until it's fixed
• AI-native operator: you understand how to design and leverage AI systems to automate reporting, surface real-time visibility into KPIs and OKRs, and drive company-wide efficiency — and you're resourceful enough to go find the source data yourself rather than waiting for someone to hand it to you
• Data-driven and influential: you don't just analyze — you use data as a lever; your insights shape decisions, change minds, and move the org toward better outcomes
• A natural integrator: builds trust with functional leaders, navigates tension without drama, keeps the company moving without becoming the bottleneck
• Deeply aligned with Klaviyo's values: extreme ownership, high standards, collaborative directness, customer orientation, level playing field

What This Role Is Not

This is not a chief of staff role that begins and ends with the CEO's calendar. It is not a program manager who tracks work other people own. And it is not a strategic advisor who synthesizes without executing. This is an operator with real accountability for how Klaviyo runs — who brings both the systems thinking and the hands-on discipline to make it better, every quarter.

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

Account Executive, Mid-Enterprise @ Klaviyo!

Team: Sales – Mid- Enterprise

At Klaviyo, we believe every customer interaction is an opportunity to build stronger relationships. That mindset starts with our Sales team- and we're growing.

We’re looking for a Mid-Enterprise Account Executive to join our tenured, high-performing team selling into some of the world’s most recognizable brands. This is more than just closing deals. It's an opportunity to shape the future of our upmarket business by bringing Klaviyo to customers who are reimagining their marketing tech stack.

From first touch to signed agreement, you’ll own the full sales cycle—partnering closely with teams across Solutions, Customer Success, Product, and Engineering to drive long-term value for our customers.

You’ll be selling to companies like Marc Jacobs, Walmart’s Home Brands, TaylorMade Golf, and Citizen Watches. It’s a big responsibility—and a bigger opportunity.

What You'll do and How You’ll Make a Difference:

• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.
• Continuously experiment with AI tools—testing, learning, and sharing insights to keep the team and organization ahead of the curve, as well as championing new applications that accelerate workflows and elevate quality responsibly.
• Apply AI fluency to streamline work, reallocate saved time and reinvest into more meaningful, high-impact areas. 
• Build and grow Klaviyo’s Mid-Market and Enterprise client base
• Drive full-cycle sales efforts: prospecting, discovery, demo, negotiation, and close
• Create and execute territory and account strategies for long-term growth
• Partner cross-functionally with Solutions Architects, Customer Success, and Marketing to deliver a world-class buying experience
• Provide mentorship and leadership across the AE team
• Share market insights with Product and Engineering to influence roadmap decisions

Who You Are/Required Experience:

• 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 use AI tools to accelerate exploration, shorten iteration cycles, and bring sharper ideas to the table.
• As part of your craft, you’re curious, adaptable, and eager to deepen your fluency in AI (understanding capabilities, limits, and risks) as part of your craft.
• You don’t wait to be told what tool to try—you explore, test, and share what works.
• Based in Boston, MA and available to be in-office 3 days/week
• 6+ years of closing experience, preferably in SaaS or MarTech
• Experience hunting net new business from self-generated leads through negotiation and closure (closed/won)
• Comfortable navigating strategic deals with multiple stakeholders and complex buying processes
• Experienced in technical selling—able to communicate value with clarity and confidence
• Knowledge of the marketing automation or CDP space is a plus
• Resilient in the face of challenges and energized by a fast-moving environment
• A natural relationship-builder with strong influencing skills
• Committed to learning, sharing, and contributing to a high-trust sales culture

Klaviyo is an Equal Opportunity Employer. We’re committed to building a company that reflects the diversity of the customers we serve—and that starts with our team.

#LI-Hybrid

#LI-BAILEY

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

Account Executive, Mid-Enterprise @ Klaviyo!

Hybrid Role Requirement: Boston, MA (In-Office 3x/Week)
Team: Sales – Mid- Enterprise

At Klaviyo, we believe every customer interaction is an opportunity to build stronger relationships. That mindset starts with our Sales team—and we're growing.

We’re looking for a Mid-Enterprise Account Executive to join our tenured, high-performing team selling into some of the world’s most recognizable brands. This is more than just closing deals. It's an opportunity to shape the future of our upmarket business by bringing Klaviyo to customers who are reimagining their marketing tech stack.

From first touch to signed agreement, you’ll own the full sales cycle—partnering closely with teams across Solutions, Customer Success, Product, and Engineering to drive long-term value for our customers.

You’ll be selling to companies like Marc Jacobs, Walmart’s Home Brands, TaylorMade Golf, and Citizen Watches. It’s a big responsibility—and a bigger opportunity.

What You'll do and How You’ll Make a Difference:

• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.
• Continuously experiment with AI tools—testing, learning, and sharing insights to keep the team and organization ahead of the curve, as well as championing new applications that accelerate workflows and elevate quality responsibly.
• Apply AI fluency to streamline work, reallocate saved time and reinvest into more meaningful, high-impact areas. 
• Build and grow Klaviyo’s Mid-Market and Enterprise client base
• Drive full-cycle sales efforts: prospecting, discovery, demo, negotiation, and close
• Create and execute territory and account strategies for long-term growth
• Partner cross-functionally with Solutions Architects, Customer Success, and Marketing to deliver a world-class buying experience
• Provide mentorship and leadership across the AE team
• Share market insights with Product and Engineering to influence roadmap decisions

Who You Are/Required Experience:

• 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 use AI tools to accelerate exploration, shorten iteration cycles, and bring sharper ideas to the table.
• As part of your craft, you’re curious, adaptable, and eager to deepen your fluency in AI (understanding capabilities, limits, and risks) as part of your craft.
• You don’t wait to be told what tool to try—you explore, test, and share what works.
• Based in Boston, MA and available to be in-office 3 days/week
• 6+ years of closing experience, preferably in SaaS or MarTech
• Experience hunting net new business from self-generated leads through negotiation and closure (closed/won)
• Comfortable navigating strategic deals with multiple stakeholders and complex buying processes
• Experienced in technical selling—able to communicate value with clarity and confidence
• Knowledge of the marketing automation or CDP space is a plus
• Resilient in the face of challenges and energized by a fast-moving environment
• A natural relationship-builder with strong influencing skills
• Committed to learning, sharing, and contributing to a high-trust sales culture

Klaviyo is an Equal Opportunity Employer. We’re committed to building a company that reflects the diversity of the customers we serve—and that starts with our team.

#LI-Hybrid

#LI-BAILEY

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About the Role: We are seeking a highly motivated and skilled Senior Software Engineer to join our core engineering team to work on Catalyst, our software stack that runs our robotic lab systems. This is a critical, high-impact role responsible for the design, development, full integration testing, and field support of software drivers for our cutting-edge autonomous labs.

The ideal candidate possesses a strong background in programming reliable physical real-time systems in production environments. They must also excel at cross-functional collaboration, ensuring our drivers meet the exacting standards of the scientific community and providing rapid response to critical customer issues.

To learn more about automation engineering at Ginkgo, take a look at our website.

Responsibilities:

Driver Development & Implementation (70%)

• Design, implement, and maintain robust, high-performance software drivers using Python and/or C#/.NET for a diverse range of lab automation hardware (e.g., robotic arms, liquid handlers, plate readers).
• Deeply understand and implement various low-level hardware communication protocols, including RS-232, USB, and TCP/IP.
• Develop drivers with a focus on reliability.
• Contribute to the design of the device abstraction layer to create intuitive and robust interfaces for high-level application developers.
• Use and enable agentic software.

Integration & Validation (20%)

• Extensive testing with the rest of the Catalyst stack
• Collaborate closely with scientists and quality assurance teams to perform joint functional testing and validate driver performance against scientific requirements.
• Develop and maintain sophisticated automated unit and integration tests.
• Design and build hardware simulation environments to enable comprehensive driver testing and rapid iteration without relying on physical instrument access.
• Ensure the drivers include comprehensive error handling, logging, and fault-tolerance mechanisms to guarantee graceful recovery from communication timeouts and hardware failures.

Field Support & Diagnostics (10%)

• Act as a Tier 2 technical resource, providing rapid diagnosis and resolution to software and communication errors occurring at critical customer laboratory sites.
• Utilize remote diagnostic tools, system logs, and protocol analyzers to troubleshoot complex field issues quickly and effectively.
• Develop and document workarounds and permanent solutions to maintain high customer uptime.
• Proactively observing usage of our drivers and proposing improvements to the user experience/reliability

Minimum Requirements

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.
• 5 years of experience in a software development role, with a focus on hardware integration, embedded systems, or driver development.
• Extensive experience with Python.
• Strong communication and collaboration skills. 
• Familiarity with laboratory automation, robotics, or scientific instrumentation is highly beneficial.

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 fast-moving, deep-tech company
• Experience or understanding of laboratory automation and lab automation user personas
• Strong understanding of Operating System fundamentals (threading, synchronization, memory management) and real-time constraints.
• Excellent communication, patience, and the ability to translate complex technical issues for non-software stakeholders (scientists, customers).
• Proficient with Git and experience working within agile methodologies and CI/CD pipelines.
• Advanced skills in debugging low-level code, including use of protocol sniffers, logic analyzers, and remote debugging tools.
• Experience with Windows, C#, COM.
• Experience with OPC-UA, SiLA2.
• Experience or background in a life science or chemistry laboratory