Recorded Future is seeking a Principal Software Engineer to join our Engineering team, responsible for building and scaling the pipelines that power the Security Intelligence Graph. As a Principal Software Engineer, you will work across application code and infrastructure to collect, transform, and deliver structured threat data: tracking malware infrastructure, phishing campaigns, spam networks, command-and-control systems, and more. You will play a key role in driving architectural improvements and ensuring the platform scales effectively as it continues to grow.

What You'll Do:

• Data Pipeline Ownership: Design, build, and maintain scalable data pipelines that collect, transform, and deliver structured threat intelligence data powering the Security Intelligence Graph.
• Architecture & Scalability: Drive meaningful architectural improvements across data and platform systems to ensure long-term scalability, reliability, and performance.
• Full-Stack Engineering: Work across both application code and infrastructure, contributing to backend services, data systems, and platform capabilities.
• Data Processing & Analysis: Apply statistical techniques to large-scale datasets to generate accurate and impactful insights.
• Reliability & Observability: Ensure production-grade pipeline reliability through strong observability, error handling, and failure recovery practices.
• Infrastructure & Deployment: Build and maintain CI/CD pipelines and contribute to infrastructure-as-code practices to support efficient and repeatable deployments.
• Cross-Team Collaboration: Communicate technical concepts clearly and collaborate effectively across teams, geographies, and varying levels of technical expertise.
• Technical Leadership: Engage with technical leaders across teams and contribute to raising the engineering bar through knowledge sharing and best practices.

What You'll Bring:

• At least 5 years of experience in data engineering, backend engineering, or platform engineering.
• Strong proficiency in Python, with experience in Go or Rust considered a plus.
• Experience working with cloud infrastructure, including compute, storage, networking, and IAM fundamentals.
• Hands-on experience with message queues and pub/sub systems such as Kafka or RabbitMQ.
• Experience with SQL databases such as Postgres or AWS RDS, and NoSQL databases such as MongoDB or Elasticsearch.
• Familiarity with data lake storage frameworks such as Delta Lake and graph databases such as AWS Neptune or Neo4j.
• Experience developing REST APIs using frameworks such as Flask, Django, or FastAPI.
• Proven experience architecting and delivering production-grade applications and ETL/ELT pipelines.
• Strong understanding of building reliable data pipelines, including observability, error handling, and failure recovery.
• Experience building and maintaining CI/CD pipelines; GitHub Actions experience is a plus.
• Familiarity with infrastructure-as-code tools; Terraform experience is a plus.
• Comfort working with high-volume, complex, and unstructured data.
• Strong problem-solving skills, including the ability to debug both software and data issues.
• Excellent attention to detail and ability to work independently while delivering high-quality results.
• Interest in or familiarity with security data domains such as threat infrastructure, malware, or network telemetry.
• Bachelor’s and/or Master’s degree in Computer Science, Mathematics, Statistics, Engineering, or equivalent experience.

Preferred Qualifications:

• Experience or interest in cybersecurity data domains such as malware analysis, phishing detection, or network telemetry.
• Experience working with graph-based data systems or security intelligence platforms.

The base salary range for this full-time position is $152,000-$228,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote

Do you want to be a part of the clean energy movement? Are you passionate about improving our environment for this generation and those to follow? Are you ready to take on new challenges and collaborate with a future-focused team leading the way into new markets? Join Nexamp! 

This is where you can learn from industry leaders and become one yourself. It's fast-paced, mission-based work that challenges the status quo. Be on the team that's changing the world. 

What we’re looking for: 

We're looking for a Senior Full Stack Software Developer to help us build and optimize tech solutions to accelerate our sustainable energy future. At Nexamp, you'll be part of an engineering squad focused on multiplying the efficiency of how we raise and deploy billions of dollars of capital into low-downtime solar power plants. You’ll be the front-end lead on the squad and will drive impact by writing quality code, steering projects from conception to completion, helping refine our processes, and guiding more junior team members. This role will be hybrid, based out of our Boston office, and you will report to your squad’s Tech Lead.

What you’ll do:  

• Internalize our objectives and deliver measurable change for Nexamp and our customers.  
• Design, implement, and deploy reliable and efficient production software in our React/Django/Azure stack.   
• Actively collaborate in sprint planning, execution, code reviews, demos, and retrospectives.  
• Own design decisions across our React applications and establish and execute scalable patterns, standards, and best practices for the squad.
• Guide and inspire more junior developers across the organization through mentorship and collaboration.  
• Continually seek ways to level-up your own skills and make a bigger impact throughout the company.

What you’ll bring:

• 7+ years of full stack software development experience at companies with 10 or more developers.
• Experience architecting, building, and deploying consumer-facing frontend applications in React and Typescript.
• Experience developing and optimizing web-based solutions in modern Python, ideally using Django, FastAPI, or similar frameworks.
• Robust understanding of web standards, infrastructure (databases, storage, caching, content delivery, etc.), and cloud platform offerings.
• Effectively communicate and collaborate with users and business stakeholders, facilitating software and process requirements.
• Experience leveraging debugging expertise and a proven track record of independently solving problems.
• Solid understanding of SQL and relational databases.
• Familiarity with version control systems like Git, CI/CD pipelines for automated testing & deployment, and infrastructure tools like Terraform.
• Understanding of cutting edge AI tools and a commitment to leveraging them to rapidly deliver high quality software.
• Ownership mentality and initiative to make improvements to code, processes, and user experiences across the organization.
• Can-do attitude toward architecting right-sized solutions to real-world business problems.
• Commitment to Nexamp's mission and have a passion for solving tomorrow's climate crisis today.
• Demonstrated experience in effectively communicating information, ideas, and perspectives with people inside and beyond your organization.   
• Experience in showcasing initiative to make improvements to current work, processes, products, and services across the organization. We value accountability and an ownership mentality. 
• Ability to ask appropriate questions, analyze data, identify the root causes of problems, and present creative solutions. 
• Expertise in building strong internal and external relationships with customers and stakeholders, instilling trust and loyalty across the industry. 
• Eagerness to develop a fundamental understanding of how Nexamp operates and then apply that knowledge effectively to inform business decisions.

If you don’t meet 100% of the above qualifications, but see yourself contributing, please apply.

At Nexamp, our mission is to build the future of energy so it is clean, simple, and accessible for all. We are committed to providing a work environment free from discrimination. We are proud to be an equal opportunity employer. We do not discriminate against applicants on the basis of race, ethnicity, religion, sex, gender, sexual orientation, gender identity, disability status, veteran status, or any other basis protected by law. By encouraging a culture where ideas and decisions come from all people, we believe it will help us grow, innovate, and be a part of environmental and social change.

You’ll love working here because:  

Not only will you get to take part in meaningful work and have the chance to change the world alongside innovative, dedicated, and motivated peers, but you will also have access to all the benefits that Nexamp offers! This includes our competitive compensation package; a 401(k) employer-match; health, dental, and vision insurance starting day one; flexible paid time off and holiday PTO; commuter benefits, and cell phone reimbursement. We have headquarters in Boston, MA and Chicago, IL, in addition to growing offices nationwide. We provide healthy snacks, coffee, service days and other volunteer opportunities, company outings, and more!  

Compensation: 

The reasonably estimated salary for this role at Nexamp ranges from $170,000 - $190,000. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual bonus programs based on individual and company performance, non-annual sales incentive plans, or other non-annual incentive plans). Additionally, you may be eligible to participate in the Company’s stock option plan. Actual base salary may vary based upon, but is not limited to, skills and qualifications, internal equity, performance, and geographic location. 

Nexamp's People team manages all aspects of recruitment and hiring within our organization. We want to inform third-party recruiters, staffing firms, and related agencies that Nexamp does not accept unsolicited resumes. Resumes will only be considered from these entities if a signed agreement is in place and the People team explicitly authorizes external recruiting assistance for a specific position. Any unsolicited resumes received will be deemed the property of Nexamp. We want to emphasize that Nexamp is not liable for any fees associated with unsolicited resumes. 

SWE II, Core Reporting (Boston, MA) 

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny.

Klaviyo operates a real-time data analytics platform coded primarily in Python that is built for massive scale. Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines.

The Core Reporting Team is responsible for powering Klaviyo’s analytics foundation.  We deliver scalable, consistent, and trustworthy reporting infrastructure that enables every team at Klaviyo to ship analytics faster - and every customer to understand, trust, and act on their data. The team builds curated and customizable reporting experiences that serve all of Klaviyo’s customers. The team collaborates closely with Product, Design, and cross-functional partners across Klaviyo to ensure that insights are not just observed but operationalized, connecting analytics directly to action. 

As an Engineer on the Core Reporting Team, you can expect to be deeply involved in the technical strategy behind how we access, aggregate, and present data at scale across the Klaviyo platform. You'll own projects that contribute to driving adoption and retention of the analytics platform, building the reporting capabilities that are a key reason customers purchase and expand with Klaviyo. You'll work full stack, from the data access and storage layers that power enterprise-grade analytics, to the front-end experiences that make complex data intuitive and actionable. Your tech stack will include Python, TypeScript, React, AWS, and Django.

How You Will Make a Difference

• Deliver reporting capabilities that drive adoption and directly contribute to growth
• Build experiences that close the loop from insight to action, enabling customers to create segments, campaigns, and flows directly from reporting surfaces.
• Develop product-led experiences that make the value of Analytics visible and compelling.
• Work cross-functionally with Product, Design, Data Science, and partner engineering teams to shape the roadmap and technical direction of analytics at Klaviyo
• Have ample opportunities for growth as the team expands its scope across enterprise portfolio analytics, AI-assisted exploration, and agentic integrations

Who You Are

• 2+ years of experience working in a in a full stack capacity
• Proficient in at least one modern programming language (Python or TypeScript/React are a plus)
• Degree or equivalent experience in a software engineering discipline
• Able to communicate well and collaborate effectively across disciplines
• Able to work with others on a team and partner closely with product, design, and data stakeholders
• Able to learn continuously and adapt to a high-growth environment
• Able to stick with and solve difficult problems, particularly around data at scale
• Excited to work at the intersection of data visualization, analytics, and AI. Building experiences that help customers understand and act on their data
• Interested in up-market product challenges, including enterprise-grade reliability, and customization.

Technologies We Use (non-exhaustive)

• Front-end technologies like TypeScript, React, Styled Components, and CSS
• Backend primarily using Django, FastAPI, and Python
• Infrastructure on AWS and Kubernetes

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Klaviyo is growing fast, and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at https://klaviyo.tech.

We love tackling tough engineering problems and look for engineers who specialize in certain areas but are passionate about building, owning, and scaling features end to end — breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies, and work hard to ensure each day is better than the last.

Location:
This position is based in our Boston office, and team members are expected to be onsite at least three days per week.

Our Stack and Culture:
Klaviyo operates a real-time data platform coded in Python, built for massive scale on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines.

Team Overview:
The API team empowers product development teams at Klaviyo to create consistent, reliable, and developer-friendly public and internal APIs by providing robust frameworks, intuitive tools, and expert support.

Areas of ownership include:

• Public API Framework: Building consistent, reliable, and performant public APIs.

• Internal API Platform: A standardized platform for building, deploying, and consuming internal APIs to accelerate development and improve reliability.

• Encoded Objects: Standardized data schema definition and serialization framework ensuring consistency and compatibility across systems.

• API Rate Limiter: System enforcing request limits to protect API reliability and performance.

Responsibilities:

• Contribute to the evolution of Klaviyo’s public and internal API platforms.

• Participate in code reviews, product specifications, and scope definition.

• Collaborate with product owners and engineering peers to deliver high-quality, scalable solutions.

• Influence the direction and priorities of the API team.

Required Skills:

• 3–5+ years of experience in software engineering.

• Experience working with both monolithic and microservices architectures.

• Experience with CI/CD pipelines.

• Strong debugging and performance optimization skills.

Team Tech Stack:
Python, Django REST Framework, Django, FastAPI
MySQL / PostgreSQL, DocumentDB, ClickHouse
Redis, Memcached, RabbitMQ / Celery / Apache Pulsar

Preferred Skills:

• Experience with metaprogramming.

• Experience with Go.

• Familiarity with JSON:API.

• Experience designing and building internal or public APIs.

• Experience with Service-Oriented Architecture (preferably in Python).

• Experience working with RESTful applications, APIs, or gRPC.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Why you should join the Mobile App Growth team

The Mobile App Growth team, a diverse group of accomplished engineers, focuses extensively on developing new, greenfield projects within the mobile application domain. Their work is cross-functional, spanning various mobile platforms, and includes developing full-stack solutions to support product features exposed to mobile users via our SDKs.

Over the past year, the Mobile App Growth team at Klaviyo has introduced new mobile-first features (like geofencing and in-app forms) and enhanced Klaviyo’s mobile integration offerings. This expansion has augmented the scope of the team’s responsibilities. With new products to cultivate and integrations to support, the team requires a highly capable software engineer to help manage the increasing demands within Klaviyo's mobile ecosystem.

This engineer will contribute to the expansion and maintenance of the team’s mobile SDK offerings, furthering current product features and extending Klaviyo’s reach beyond traditional email marketing into comprehensive mobile engagement.

How You'll Make an Impact

• You will be a core member of the Mobile App Growth team, working on impactful mobile experiences making mobile integrations a core pillar of Klaviyo’s offerings
• Work closely with product to provide the best experience for our customers.
• Take ownership of projects from inception to release.
• Work across different mobile technologies
• Work in the Django framework to help build out a pipeline for rendered mobile experiences. 

Who you are

Deep experience modern mobile development (either Android, iOS or cross-platform experience) 

• Open to working with different technologies: Python, React, AWS, GoLang (prior experience not required but nice to have)
• Have a proven track record of leading projects and collaborating well with the wider team
• Experience working with mobile webviews and location services.
• Comfortable leveraging AI technologies effectively in personal contributions.
• Self-starter - As the member of the team, we are looking for someone who can bring with them expertise in mobile development.
• Adaptability - We will be working not just in native SDKs but also backend and frontend Klaviyo stacks, dev tooling and possible expansion into tertiary SDKs in the future.
• Ambition - We are looking for people that can take an idea and have the ambition to headline it in the future.
• Learning - To be always learning is a core value at Klaviyo and this role will require someone excited to learn new technologies and expose themselves to new approaches

Technologies We Use (not exhaustive)

• iOS (Swift)
• Android (Kotlin)
• React Native
• Flutter
• React, TypeScript, Redux
• Python, Django
• MySQL, Redis, DynamoDB
• AWS (EC2, RDS, Aurora), Terraform

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

SWE II, Advanced Reporting (Boston, MA Hybrid)

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny.

Klaviyo operates a real-time data analytics platform coded primarily in Python that is built for massive scale. Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines.

The Advanced Reporting Team is responsible for delivering enterprise-grade, AI-powered analytics that help sophisticated brands understand their business, make confident decisions, and take action, all directly inside the Klaviyo platform. The team builds curated and customizable reporting experiences that serve all of Klaviyo’s customers with complex data, multiple channels, and advanced analytical needs. The team collaborates closely with Product, Design, and cross-functional partners across Klaviyo to ensure that insights are not just observed but operationalized, connecting analytics directly to action.

As an Engineer on the Advanced Reporting Team, you can expect to be deeply involved in the technical strategy behind how we access, aggregate, and present data at scale across the Klaviyo platform. You'll own projects that contribute to driving adoption and retention of Marketing Analytics, building the reporting capabilities that are a key reason customers purchase and expand with Klaviyo. You'll work full stack, from the data access and storage layers that power enterprise-grade analytics, to the front-end experiences that make complex data intuitive and actionable. Your tech stack will include Python, TypeScript, React, AWS, and Django.

How You Will Make a Difference

• Deliver advanced reporting capabilities that drive adoption and directly contribute to growth
• Build experiences that close the loop from insight to action, enabling customers to create segments, campaigns, and flows directly from reporting surfaces.
• Develop product-led experiences that make the value of Marketing Analytics visible and compelling.
• Work cross-functionally with Product, Design, Data Science, and partner engineering teams to shape the roadmap and technical direction of analytics at Klaviyo
• Have ample opportunities for growth as the team expands its scope across enterprise portfolio analytics, AI-assisted exploration, and agentic integrations

Who You Are

• 2+ years of experience working in a in a full stack capacity
• Proficient in at least one modern programming language (Python or TypeScript/React are a plus)
• Degree or equivalent experience in a software engineering discipline
• Able to communicate well and collaborate effectively across disciplines
• Able to work with others on a team and partner closely with product, design, and data stakeholders
• Able to learn continuously and adapt to a high-growth environment
• Able to stick with and solve difficult problems, particularly around data at scale
• Excited to work at the intersection of data visualization, analytics, and AI. Building experiences that help customers understand and act on their data
• Interested in up-market product challenges, including enterprise-grade reliability, and customization.

Technologies We Use (non-exhaustive)

• Front-end technologies like TypeScript, React, Styled Components, and CSS
• Backend primarily using Django, FastAPI, and Python
• Infrastructure on AWS and Kubernetes

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

In this role, you will lead the development of a comprehensive High Temperature Operating Life (HTOL) Test Software system. Your work will involve designing, implementing, and maintaining a scalable multi-chassis testing platform that performs automated stress and performance testing with real-time monitoring and comprehensive data collection capabilities.

Responsibilities

• System Design & Development: Architect, build, and maintain scalable architecture for a multi-chassis HTOL testing system.
• Orchestration: Develop containerized applications for deployment at scale using Python-based services for chassis coordination and management.
• Hardware Monitoring & Management: Create hardware abstraction layers and develop APIs that represent hardware systems, providing essential capabilities for monitoring and management of those systems.
• Manage Data: Develop data collection pipelines handling sensor data and performance metrics.
• Deploy and Update Software: Create automated deployment and testing pipelines using CI/CD best practices.
• Collaboration with Front-End Teams: Work closely with the frontend team to ensure seamless integration of backend APIs with applications.
• Testing & Documentation: Write automated tests to monitor the reliability and performance of the system; maintain clear and concise documentation for troubleshooting.
• Performance and Reliability: Continuously monitor and optimize performance to reduce response times and improve system scalability; ensure uptime in production environments; establish capacity planning procedures.

Required Skills

• BS and 12+ years of experience or MS and 8+ years of experience; degree in Computer Science, Electrical Engineering, or related field.
• Expert level Python, knowledge of web frameworks such as FastAPI, Flask, Django; strong understanding of API design principles and best practices.
• Experience with containerization and orchestration technologies such as Docker and Docker Compose.
• Experience with one or more databases such as MongoDB, PostgreSQL, Redis, time-series databases.
• Familiarity with testing frameworks such as pytest and integration testing, performance testing tools.
• Experience with CI/CD tools such as GitHub Actions/Runners and Infrastructure as Code tools such as Ansible.
• Experience with hardware integration or embedded systems; interfacing with BMCs, FPGAs, temperature sensors, thermal management, power management systems.

Nice-to-have skills

• Familiarity with real-time data handling and communication protocols, such as gRPC, TCP/IP, WebSockets, message brokers or similar technologies.
• Experience with high-availability, mission-critical systems.
• Experience in the Semiconductor Industry: HTOL, wafer-level testing, burn-in systems, reliability testing.
• Professional Certifications: Agile/Scrum certifications.
• Experience building backend services for web applications like Next.js, proficiency in JavaScript/TypeScript.

Why You Should Join the Onboarding Team 

The [Product Expansion / Activation] team at Klaviyo is focused on improving the early experience of Klaviyo for new customers. We work diligently to improve the rate at which customers are successfully setting up their Klaviyo account and gaining value from the platform. Engineers on the team use data to discover opportunities for improvement, implement A/B tests to validate ideas, and work across the product to iteratively improve UX and reduce friction for new customers. We are looking for great generalist software engineers with a passion for the experience-layer that have an interest in or experience with growing a user-base and building a great customer onboarding pipeline and experience.

How You Will Make a Difference 

• In this role, you will drive the technical design and lead the implementation of high-impact user-experience improvements across the Klaviyo product, focusing on areas critical to new customer success and adoption. You will own the entire project lifecycle, working through ambiguity and requirements refinement to execution and delivery.
• You will own the end-to-end experimentation process, including contributing to the definition of strategy, architecting and implementing A/B tests to validate product hypotheses, and interpreting data to drive significant iterative improvements. You will be accountable for the quality and operational health of the features you deliver.
• You will serve as a technical leader and liaison, collaborating proactively with partners across teams to define and prioritize key technical initiatives to shape the long-term product roadmap.
• You will take a lead role in mentoring and providing technical guidance to other engineers on the team, elevating our experimentation, development, and operational practices, ensuring contributions consistently leave the product area better than when you found it.
• You will define the architectural approach and technical strategy for your area of responsibility, anticipating scalability and reliability needs, including leveraging AI agents in our work and delivery, ensuring the solution is robust, scalable, and adheres to best practices for security, performance, and maintainability.
• Working from our Boston HQ at least three days a week.

Who You Are 

• Have an extensive background in full stack software engineering, demonstrating deep understanding of Klaviyo’s systems and the ability to architect, deliver, and maintain software with an emphasis on high-scale, user-facing features, and their supporting APIs and infrastructure.
• Demonstrated ability to drive technical strategy and improvement using a data-driven mindset, leading to measurable business results and upholding best practices.
• Demonstrated technical experience in using and championing AI-driven software delivery practices and methods, a passion for continuous learning and mentoring, and the ability to work productively through others to set them up for project success.
• Experience driving A/B testing strategies for products with metric-based goals to significantly improve user experience, customer acquisition, and success is a strong plus.
• Thrives in an entrepreneurial type environment that is customer focused and strategic, while bringing clarity and technical stability to ambiguous challenges and prioritizing work that enables the team to move faster.

Technologies we use (not exhaustive):

• HTML, TypeScript, JavaScript, React
• Python, Django
• MySQL, Cassandra, RabbitMQ, Redis
• Amazon Web Services (EC2, RDS, Aurora, etc.), Terraform, Ansible, Packer, and other DevOps tools

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Why You Should Join the Email Platforms Team:

The Email Platforms team at Klaviyo is building the next generation of infrastructure to support reliable, scalable, and performant email delivery. Our mission is to help Klaviyo reach enterprise scale by evolving and owning our email sending pipeline end-to-end. We're investing heavily in our homegrown email delivery infrastructure, giving us greater control, performance, and reliability in how we deliver emails for some of the largest brands in the world.

You’ll join a high-impact, high-ownership team tackling technical challenges around high-throughput systems, distributed messaging, and service performance at scale. Our work directly impacts customer satisfaction and business success. If you’re excited about email infrastructure, systems design, and high-scale backend development in Go, this is the role for you.

How You Will Make a Difference:

• Own and drive key components of the email pipeline architecture
• Design and implement scalable, high-throughput services in Go
• Develop systems that manage message queues and email delivery
• Help ensure our systems scale with customer growth, especially as we bring on larger enterprise accounts
• Collaborate cross-functionally to ensure the highest standards of performance, reliability, and deliverability
• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Who You Are:

• Senior-level backend engineer with strong systems design skills
• Proficient in Go (required). experience with Python is a plusExperienced working with high-throughput distributed systems
• Familiar with message queues (e.g., Pulsar, Kafka, RabbitMQ, SQS)
• Bonus: Experience with email infrastructure, MTAs, deliverability, or mailops
• Comfortable working independently on projects from design through production
• Able to thrive in a mostly remote team and deliver in a high-autonomy environment
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.

Technologies We Use:

• Languages: Go, Python
• Infrastructure: AWS, DynamoDB, Kubernetes, Terraform

Frameworks: Gin (Go), Django (Python)

• Messaging: Pulsar, Kafka, other message queues
• Email Systems: MTA’s (GreenArrow), Proxy servers, email deliverability tools, monitoring tools

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

About the team

When you hear billing, chances are you might think of a dusty corner office with several decade old file cabinets. Klaviyo’s Billing & Monetization team is not that! We oversee the payments and enforcement infrastructure that allow hundreds of thousands of companies to send billions of emails and text messages on BFCM weekend. The team is responsible for tracking all product usage to bill customers, managing customer subscriptions and payments, and pricing for new and existing products. As Klaviyo continues to scale, our team will play an instrumental role in capturing revenue (both domestic and international), building features that help users understand where their dollar spend goes, complying with regulatory requirements, facilitating internationalization and assisting in all pricing related changes at Klaviyo.

About the role

The Billing & Monetization team is seeking a Software Engineer II to help drive Klaviyo forward in its mission to offer entrepreneurs the best possible tooling at the lowest possible price. You will drive outcomes and decisions directly related to Klaviyo’s growth in international markets, its relationship with large customers with multiple subsidiaries and unique payment requests, how new products are priced and packaged and more.

How you’ll make an impact

• Own customer facing products that help customers better understand how they are billed on Klaviyo. 
• Develop new approaches to track billions of product usage events accurately and reliably.
• Work with Klaviyo customers and stakeholders to build a platform that maximizes value for our customers and for Klaviyo. 
• Make decisions and own outcomes around infrastructure, application logic, documentation, product changes, UI and more

What we’re looking for:

• You have a track record of building high quality products and systems. You take pride in writing clean, high quality code. 
• 3+ years of experience as a software engineer
• Previous experience RESTful APIs, pub/sub systems, and 3rd party integrations 
• You have some experience developing full stack products. 
• Experience working on team projects and/or leading projects.
• You’re excited to use AI-assisted development tools thoughtfully to move faster, improve code quality, and accelerate learning, while applying strong engineering judgment. 

Nice to have:

• Experience building payment systems and or integrating with payment providers.
• Experience working with cross functional teams on bringing products to market, financial reconciliation, etc 
• Passion for understanding and experimenting with the levers that drive business outcomes, including pricing, presentation, vendor relationships and more.
• Experience talking to customers and listening deeply to their wants and needs.

Technologies we use (no experience necessary)

We currently use the list of technologies below but are always looking to find the best tools for the jobs that help our customers (and very open to adding technologies given the right circumstances). We don’t expect you to have any experience in the tools below and we will provide whatever training you need to level up and succeed!

Our current tech stack:

• Python, Django, React, Typescript
• Pulsar, Celery
• MySQL, Redis, Memcached
• AWS (EC2, RDS, S3, etc.), Terraform

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 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

Team overview

The Core Infrastructure – Identity & Organizations (Core IO) pillar owns the foundational substrate for identity, access, organizations, and platform integrity at Klaviyo. We manage the critical path of the user journey from login, to enforcing permissions, to operating within the correct organization and regional context so that the rest of the platform can move fast and stay secure.

Within Core IO, the Identity & Access Management (IAM) team builds and operates Klaviyo’s centralized authentication and authorization platform for both humans and machines. We power login, SSO, MFA, SCIM, internal service auth, and external API auth, and we are in the middle of transforming Klaviyo’s identity stack into a unified, enterprise-grade platform.

Why this role is exciting

• Shape Klaviyo’s identity platform: You’ll help design and build the services that every product team and customer relies on login, sessions, permissions, and secure service APIs are all on your roadmap.
• High-leverage, platform-level impact: Your work will directly affect engineering velocity (auth as a shared service), Enterprise deal wins (SSO/SCIM/RBAC/ReBAC), and Data Residency (region-aware auth flows).
• Deep systems and security learning: You’ll work on distributed systems, modern IdP integration, machine auth, and secure-by-default patterns with strong mentorship and meaningful ownership.

What you’ll do

As a Software Engineer II on the IAM team, you will:

• Own features end-to-end across design, implementation, rollout, and observability for core authN/Z capabilities such as login flows, MFA, SSO enhancements, SCIM, sessions, and role/permission enforcement.
• Contribute to auth platform extraction: Help move authentication and authorization paths out of the legacy monolith into dedicated micro services, including token verification, API key services, and internal service auth behind Kong and IdP platform.
• Build and maintain shared SDKs and contracts that let internal teams adopt IAM services quickly (OAuth, machine auth, org-scoped authZ), making “secure by default” the simplest option for new surfaces and agents.
• Collaborate with Organizations & Accounts to support org-scoped identity, multi-account SSO, and flexible org/account models that underpin enterprise experiences and cross-account analytics.
• Partner with Platform Integrity & Protection (PAA), Security, and Compliance on secure patterns for account protection (MFA, recovery, device/session risk), ensuring IAM is a strong foundation for account security and anti-abuse controls.
• Improve reliability and performance of IAM services by instrumenting metrics and alerts, debugging production issues, and contributing to on-call rotations and incident reviews.
• Help define and refine standards for authentication and authorization across the platform APIs, error semantics, audit logging, and integration patterns so product teams don’t reinvent them per-service.

Who you are

You are a mid-level software engineer who has shipped and supported production systems, and who wants to specialize in identity, security, and platform infrastructure.

• Experienced systems builder: You have 2-5+ years of professional software engineering experience, including building and operating backend or full-stack services in production.
• Strong fundamentals & debugging skills: You are comfortable reasoning about data models, API design, concurrency, and failure modes, and you can dig through logs, metrics, and traces to identify root causes and implement systemic fixes.
• Security & identity motivated: You’re excited by authentication, authorization, and account security problems and want to deepen your expertise in areas like MFA, SSO, SCIM, OAuth, and roles/permissions.
• Platform/infra mindset: You like building reusable services and tools that other engineers rely on, including libraries, SDKs, and patterns that raise the floor for quality and security across the org.
• Ownership & collaboration: You take responsibility for outcomes, not just code. You’re comfortable driving a small project or component, coordinating with partner teams, and communicating trade-offs clearly in design docs and PRs.
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.

Minimum qualifications

• 2-5+ years of professional software engineering experience.
• Proficiency in at least one of Python, Go, or TypeScript/JavaScript, and comfort working on backend and/or service-oriented systems.
• Experience building or operating web services or APIs backed by relational databases and/or caches (e.g., MySQL, Postgres, Redis).
• Familiarity with authentication or authorization concepts (sessions, tokens, OAuth, SSO, MFA, RBAC) and an interest in going much deeper.
• Exposure to CI/CD pipelines and modern development workflows (code review, testing, deployments, on-call participation or support).

Nice to have

You don’t need all of these, but experience in any of the following is a bonus:

• Building or integrating with IdPs and identity protocols (SAML/OIDC, enterprise SSO, SCIM, OAuth, API key management).
• Working with cloud-native infrastructure (AWS, Kubernetes, Terraform, Kong, or similar API gateways and service meshes).
• Experience with high-scale distributed systems or performance-sensitive services where availability and latency targets matter (e.g., auth endpoints, org lookups, internal service auth).
• Familiarity with observability stacks (Grafana, Datadog/Splunk, internal metrics/logging frameworks) and using them to drive reliability improvements.
• Interest or experience in adjacent Core IO domains like Organizations & Accounts or Platform Anti-Abuse (PAA), especially where they intersect with auth and account security.

Technologies we use (not exhaustive)

You’ll work with some of these on day one and have opportunities to learn the rest:

• Languages & frameworks: Python, Django, Go, TypeScript/React.
• Identity & access: OAuth, API keys, SSO, SCIM, MFA, roles & permissions, internal service auth SDKs.
• Infrastructure & platform: AWS, Kubernetes, Terraform, Kong, microservice platform for auth and organizations.

Data & observability: MySQL, Redis, Kafka/queues, Grafana, Splunk, internal logging/metrics pipelines.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Why You Should Join the Onboarding Team 

The [Product Expansion / Activation] team at Klaviyo is focused on improving the early experience of Klaviyo for new customers. We work diligently to improve the rate at which customers are successfully setting up their Klaviyo account and gaining value from the platform. Engineers on the team use data to discover opportunities for improvement, implement A/B tests to validate ideas, and work across the product to iteratively improve UX and reduce friction for new customers. We are looking for great generalist software engineers with a passion for the experience-layer that have an interest in or experience with growing a user-base and building a great customer onboarding pipeline and experience.

How You Will Make a Difference 

• In this role, you will implement user-experience improvements across the Klaviyo product, especially in areas that affect new customers.
• You will design and implement A/B tests to validate ideas, and interpret the results of these tests to inform iterative improvements to the product.
• You will collaborate with marketing, data-science, sales, and engineering teams to discover areas for improvement, as well as engaging with customers directly to learn more about how we can better serve their needs.
• You will help us improve our experimentation and development processes, and mentor other engineers on the team.
• You will clearly define the goal, constraints, and context for AI agents, while remaining responsible for the correctness of the implementation, with a focus on security, performance, and maintainability.
• Working from our Boston HQ at least three days a week.

Who You Are 

• Have a background in full stack software engineering with experience building and improving products with an emphasis on user-facing features, along with the APIs and infrastructure to support them.
• Passionate about growing and improving a product on a daily basis using a data driven mindset.
• Experienced with A/B Testing products with metric based goals to improve user experience and customer acquisition and success (nice to have)
• Demonstrated ability and success in using AI-driven software delivery practices and methods and/or a willingness and excitement to learn.
• Thrives in an entrepreneurial type environment that is fast paced, customer focused, and strategic.

Technologies we use (not exhaustive):

• HTML, TypeScript, JavaScript, React
• Python, Django
• MySQL, Cassandra, RabbitMQ, Redis
• Amazon Web Services (EC2, RDS, Aurora, etc.), Terraform, Ansible, Packer, and other DevOps tools

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

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

Location: Boston Hybrid (3 days/week in office)

Why You Should Join the Team

The Klaviyo Conversational AI Platform team is building the foundation for how Klaviyo customers plan, create, edit, and iterate on their marketing strategy through an in‑app, AI‑powered conversational experience. We own the native chat surface, the agent orchestrator, and the agentic UI framework that other teams across Klaviyo will plug into.

 By joining the Klaviyo Conversational AI Platform team, you will have the opportunity to have a direct impact on over 170,000 brands that use Klaviyo every day to engage with their customers. You’ll also help define and build Klaviyo’s Autonomous Marketing platform: an ecosystem of LLM‑powered agents that can analyze, create, and optimize marketing programs across campaigns, flows, forms, and more.

As the Engineering Manager for Klaviyo Conversational AI Platform, you will lead a fullstack team that owns the main Conversational AI Platform UI while designing the core intent-routing orchestrator and shared agent platform that other teams use to plug in.

This role requires excellent communication and collaboration skills. You will work closely with product managers, product designers, and many other engineering teams to extend and drive evolution of the product.

How You Will Make a Difference

• Lead a team of engineers delivering fullstack, customer-facing features used across Klaviyo’s Conversational AI Platform product offering
• Set the technical direction for the orchestrator that handles intent detection, routing, planning, and multi‑step LLM workflows across many expert agents.
• Own end-to-end execution: scope initiatives, break down work, align dependencies, and deliver high-quality releases on predictable timelines
• Drive architectural decisions that prioritize scalability, reliability, and maintainability across services, data models, and shared component systems
• Partner closely with Product and Design to translate vision into intuitive, performant user experiences
• Drive cross-team collaboration with Engineering to ensure the smooth integration of AI agents across teams.
• Grow and mentor engineers, fostering a high-performance and inclusive team culture
• Collaborate across Klaviyo to align roadmaps and ship cohesive, customer-delighting solutions
• Contribute hands-on via design docs, code reviews, and technical spikes to de-risk complex bets and model engineering excellence

Who You Are

• 8+ years of software engineering experience with strong frontend and backend skills
• 5+ years of engineering management experience, ideally managing fullstack teams.
• Familiarity with frontend technologies like React, TypeScript, and state management tools such as Redux
• Comfortable contributing to backend systems using Python and Django, FastAPI (or equivalent)
• Skilled in system design, reusable component architecture, and scalable frontend platforms
• Familiarity DevOps tooling, cloud infrastructure (AWS), Terraform, etc.
• Proven track record delivering complex features in fast-paced, product-led environments
• Clear communicator, collaborative leader, and committed to continuous team improvement
• Experience designing or leading systems that use LLMs, tools, or agent‑like workflows

Technologies We Use

• React, TypeScript, Redux
• Python, Django, FastAPI, Langchain
• MySQL, Redis, RabbitMQ, Pulsar, 
• GraphQL, RESTful APIs
• AWS, Terraform, Kubernetes

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Why You Should Join the PLS (Profiles, Lists and Segments) Team:

The PLS team is responsible for building and scaling the core customer data experiences at Klaviyo — profiles, lists, and real-time segments. We own the tools that let customers understand who their users are, group them into meaningful audiences, and keep those audiences up to date as new data flows in. Our work underpins how customers target, personalize, and measure every message they send, making this product area core to Klaviyo’s continued success.

As a Senior Software Engineer on the team, you’ll play a key role in designing and building scalable systems that power how customers manage and activate their data. Partnering closely with product managers, data scientists, and other platform teams, you’ll help define scope, translate complex data and UX problems into practical implementations, and build intuitive workflows that give customers confidence in their audiences. This role leans frontend, with a strong focus on crafting thoughtful, reusable components and seamless user experiences using technologies like TypeScript, React, Python, and Django. There are ample opportunities for growth given the scope of this role and the team’s central role in Klaviyo’s product.

How You Will Make a Difference:

• You will be a core member of the PLS team, working on impactful customer-facing features that will make our product the best in the industry.
• You will work on creating easy-to-use editors that are highly performant.
• You will work closely with Product, Design, and Data Science to provide the best experience for our customers.
• You will mentor team members and drive initiatives that help the team learn new skills.

Who You Are:

• 5+ years of experience in full-stack development with strong hands-on skills in React, Redux, JavaScript, HTML, and CSS, along with familiarity with general web best practices.
• Has a track record of delivering and shipping work powered by or accelerated through AI.
• Experience conducting code reviews and running a robust testing cycle using automated testing practices and frameworks, including end-to-end and integration tests (e.g., cypress, pytest).
• Experienced with RESTful and GraphQL APIs, and evolving APIs and data models to support product success.
• You take ownership of your work—from requirements and edge cases to implementation and testing—and are motivated by solving tough problems with others.
• Proven track record of leading complex, multi-quarter projects involving cross-team collaboration and being accountable for their outcomes

Technologies We Use (not exhaustive):

• React, TypeScript, Redux
• Python, Django
• Amazon Web Services (EC2, RDS, Aurora, S3, etc.), Terraform, and other DevOps tools
• MySQL, RabbitMQ, Redis, ProxySQL

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 coded in Python built for massive scale on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines.

Team Overview: 

DevX is a hybrid product–platform team focused on empowering external developers and partners by supporting applications they build on top of Klaviyo’s Public APIs and features. Examples of these areas of ownership include:

• our Application directory, which is used to promote and allow Klaviyo customers to discover applications that they can enable for their account
• the self-serve application process for a Partner to submit an Application and the ability for Klaviyo staff to review and approve an Application
• API Analytics is a system used by developers and partners to diagnose issues in their applications and understand their API usage. It is powered by a near real–time data pipeline that processes over 160,000 events per second.
• Autogenerated API docs, SDKs, CLIs & MCP servers

Responsibilities:

You will have an opportunity to make a major impact on the direction and priorities of the team.

As an engineer on this team, you will work on Klaviyo’s app marketplace, application publishing workflows, and the developer-facing tools and systems that support our app ecosystem. Additional responsibilities include providing quality PR reviews for our code-owned areas of the application, collaborating with product owners and providing technical expertise on upcoming Product Specifications, and participating in the definition of well-defined, estimated, and planned scopes of work.

Required Skills: 

• 5+ years of experience in a software engineering discipline
• Experience with full stack application development
• Experience working with both monolithic and microservices architectures
• Experience with CI/CD pipelines
• Experience debugging performance issues and improving application performance

Team Tech Stack:

• Python
• Django REST Framework, Django, fastAPI
• React, React Query
• MySQL / postgreSQL
• DocumentDB
• Clickhouse
• JSON Forms
• Redis
• Memcached
• RabbitMQ / Celery / Apache Pulsar

Preferred Skills:

• Experience working with Service Oriented Architecture (preferably in Python)
• Experience working with RESTful applications/APIs/gRPC

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Location: Boston Hybrid (3 days/week in office)

Why You Should Join the Flows Insights & Management Team

The Flows Insights & Management team is building the foundation for how Klaviyo customers create, manage, and configure their Klaviyo-powered automations.  This team also owns the reporting experiences that allow our customers to understand the performance and impact of their Flows. By joining the Flows I&M team, you will have the opportunity to have a direct impact on over 170,000 brands that use Klaviyo every day to engage with their customers.

As the Engineering Manager for the Flows Insights & Management team, you will lead a group of fullstack engineers and collaborate with other engineering teams to build and evolve Klaviyo’s Flows product as our customer’s needs evolve.

You will be responsible for guiding execution on major new Flows features, including additional sending channels, intelligent personalizations, technical evolution, and scalability. This role blends technical leadership, architectural direction, and people management. 

As the Engineering Manager of one of our flagship products, this role requires excellent communication and collaboration skills. You will work closely with product managers, product designers, support, and many other engineering teams to extend and drive evolution of the Flows product.

How You Will Make a Difference

• Lead a team of engineers delivering fullstack, customer-facing features used across Klaviyo’s Flows product offering
• Set technical direction for multi-channel Flows (e.g., email, SMS, push), including intelligent personalization and future channel expansion
• Own end-to-end execution: scope initiatives, break down work, align dependencies, and deliver high-quality releases on predictable timelines
• Drive architectural decisions that prioritize scalability, reliability, and maintainability across services, data models, and shared component systems
• Partner closely with Product and Design to translate vision into intuitive, performant user experiences
• Grow and mentor engineers, fostering a high-performance and inclusive team culture
• Collaborate across Klaviyo to align roadmaps and ship cohesive, customer-delighting solutions
• Contribute hands-on via design docs, code reviews, and technical spikes to de-risk complex bets and model engineering excellence

Who You Are

• 8+ years of software engineering experience with strong frontend and backend skills
• 5+ years of engineering management experience, ideally managing fullstack teams.
• Familiarity with frontend technologies like React, TypeScript, and state management tools such as Redux
• Comfortable contributing to backend systems using Python and Django, FastAPI (or equivalent)
• Skilled in system design, reusable component architecture, and scalable frontend platforms
• Familiarity with DevOps tooling, cloud infrastructure (AWS), Terraform, etc.
• Proven track record delivering complex features in fast-paced, product-led environments
• Clear communicator, collaborative leader, and committed to continuous team improvement
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.

Technologies We Use

• React, TypeScript, Redux
• Python, Django, FastAPI
• MySQL, Redis, RabbitMQ, Pulsar, 
• GraphQL, RESTful APIs
• AWS, Terraform, Kubernetes

#IndeedRD

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Team Overview:

The mission of the Asynchronous Processing team is to design, build, and operate Klaviyo’s high-scale, event-driven backbone so that every product team can reliably move data through our systems with confidence, no matter the volume. By providing opinionated, self-service platforms for queueing and background processing–grounded in technologies like Golang, Python, Apache Pulsar, Kafka, SQS, AWS, and Kubernetes–we enable engineering teams to focus on customer impact while we ensure their workloads are fast, observable, cost-efficient, and resilient by default.

As a Senior Platform Engineer on the Asynchronous Processing team, you will architect, build, and operate the large-scale, event-driven backbone that powers Klaviyo, crafting paved-path primitives on top of Golang, Python, Apache Pulsar, Kafka, and SQS running in AWS and Kubernetes. You’ll design and evolve resilient, multi-tenant queueing and processing platforms that safely handle massive spikes in traffic, process millions of messages per second with low latency, and provide simple, self-service APIs and tooling that enable product teams to move fast and with confidence. From core data models and routing patterns to observability, autoscaling, and failure isolation, you’ll own systems that must be rock solid at scale, partnering closely with engineers across the company to turn complex distributed-systems problems into intuitive, reliable building blocks.

This role is for senior engineers who love taming large-scale distributed systems and turning real-world asynchronous workloads into reliable, scalable platforms. You’ll work on highly visible infrastructure at the heart of Klaviyo’s event-driven backbone, directly shaping how thousands of Klaviyos build, ship, and operate products every day.

How You’ll Make an Impact:

The Asynchronous Processing team builds and operates Klaviyo’s high-scale, event-driven backbone that powers reliable, low-latency async workloads for every product team. As a Senior Platform Engineer on the Asynchronous Processing team, you will:

• Build a deep understanding of engineering needs across the organization, guiding the design and development of appropriate platform primitives in queueing that align with the platform's vision and practically empower product teams.
• Design, develop, and deliver software to dramatically improve the availability, scalability, latency, and efficiency of Klaviyo's asynchronous and queueing services.
• Design and develop systems and processes that enable highly available & scalable systems, with a focus on asynchronous processing.
• Leverage technology such as Python, Golang, AWS, and Kubernetes to advance Klaviyo's platform, with a deep focus on Apache Pulsar, SQS, and Kafka. 
• Champion best practices by actively collaborating with other teams in a culture that values technical design review.
• Mentor and pair with other Klaviyo engineers to build better software by focusing on performance, self-healing systems, configuration as code, and defensive programming.
• Participate in periodic on-call duties with a focus on solving issues when they are discovered, preventing recurrences and minimizing alert fatigue.

Who You Are:

• You are passionate about building software effectively and for the long term, balancing technical quality, velocity, and business impact.
• BA or BS Degree in Computer Science, related field, or equivalent experience.
• You typically bring 6+ years of hands-on software development experience building and operating highly available, full-stack SaaS products at scale, or have demonstrated equivalent proficiency and impact.
• You are independently responsible for the full lifecycle of complex projects or features, including discovery, technical design, implementation, rollout, and ongoing maintenance. You provide clear technical direction for others involved.
• You own the operational health of the systems you build, including performance, reliability, and observability. You are comfortable defining and upholding SLOs, participating in on-call, and driving follow-through on incidents and RCAs.
• Familiarity with cloud infrastructure (AWS preferred), infrastructure-as-code (Terraform), and containerized environments (Kubernetes), including how to design services that run reliably at scale in those environments.
• Expertise and hands-on experience with asynchronous processing and queueing systems like SQS, Kafka, or Apache Pulsar.
• Ability to handle yourself and complex systems in outage situations and to drive failures to root cause analysis and prevention of future issues.
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.
• You question convention and proactively look for ways to improve, whether that’s workflows, architecture, tooling, or team processes. You are intrinsically motivated to drive incremental and step-change improvements that deliver value to the business.
• You are an excellent communicator and collaborator. You lead technical discussions at the project and product-area level, write clear technical design documents and RFCs, and keep stakeholders aligned on progress, risks, and trade-offs.
• You mentor and support other engineers, offering thoughtful feedback in design and code reviews, helping refine specifications, and investing in the growth of more junior engineers on the team.
• You enjoy working on small, autonomous, agile teams, shipping early and often, pairing with product managers, business stakeholders, and other engineers to craft better software.

Nice to Have:

• Fundamental understanding of Linux and all layers of the networking stack; you should be confident administering and debugging production Linux systems.
• Practical experience building high availability systems at scale with Apache Pulsar.

Technologies We Use:

Klaviyo’s platform is primarily built with Python and React and runs on AWS. Engineers join us from a wide range of technical backgrounds and are supported in learning our stack. Core technologies include:

• Python / Django / FastAPI / GoLang
• Protobuf
• Apache Pulsar / Apache Kafka / SQS
• AWS / Terraform / Kubernetes / Argo / Istio / Kong

Location & Work Model:

This role is based in Boston, Massachusetts and follows a hybrid working model. Klaviyo supports work authorization and relocation for this position.

At Klaviyo, we enjoy tackling meaningful engineering challenges and value people who take ownership, learn continuously, and collaborate openly. We are committed to building inclusive teams and encourage applications from candidates of all backgrounds.

Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at https://klaviyo.tech

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Job Title: Senior Software Engineer - Marketing Agent

Location: Boston, MA (Hybrid 3x week)

At Klaviyo, we believe the future of software lies not in productivity tools for human users but in systems that do the hard work for them. We’ve built the infrastructure and applications that power the interface between businesses and consumers — supporting over 183,000+ customers, billions of consumer profiles, and hundreds of billions of customer interactions. Now, we’re building the next generation of AI agents that can automatically create, execute, and optimize marketing and customer experience strategies for any business.

As a Senior Software Engineer on Klaviyo's Marketing Agent team, you'll be at the forefront of one of the most impactful bets we're making — building an AI-powered system that autonomously creates and executes high-stakes marketing strategies on behalf of thousands of customers. This isn't backend plumbing: the work you ship directly drives revenue for the businesses that rely on Klaviyo every day. Partnering closely with product managers and technical product owners, you'll shape the scope of what's possible, turn ambitious ideas into production reality, and craft tools so intuitive they feel like superpowers to the marketers using them.

This role is primarily backend, with a strong focus on crafting robust and maintainable AI powered systems that deliver high quality strategies and marketing content that’s ready to use to our customers. There are ample opportunities for growth given the scope of this role and the team’s central role in Klaviyo’s product.

How you’ll make a difference:

• You will dramatically increase ROI for Klaviyo customers by automating most of the marketing process for them.
• You will lead and design the next generation of agentic systems at Klaviyo, pushing the frontier of AI capabilities.
• You will collaborate with AI Engineers and AI Infra Engineers to ensure our system consistently produces high quality outputs at low latency.
• You will leverage your experience to mentor and level up junior team members on engineering best practices and patterns.
• You will transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Who you are: 

• A proven track record of building high-quality products and systems, with pride in writing clean, high-quality code.
• 6+ years of experience in a software engineering role.
• Experience leading projects and being accountable for their outcomes.
• Experience mentoring team members or driving initiatives that help the team learn new skills.
• Experience conducting code reviews and running a robust testing cycle.
• Experience working in agile, fast-paced environments.
• Proficient in Python and modern web stack components such as FastAPI, Django, MySQL, Postgres.
• Experience working in cloud environments (AWS preferred).
• 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.

 Nice to have: 

• Prior work experience with AI tools such as Arize, Langgraph, Langchain
• Prior work experience building with LLMs such as GPT, Gemini, Claude

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 believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We’ve built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business.

As a Sr. AI Engineer at Klaviyo, you’ll play a key role in designing and building scalable backend systems and user experiences that power our AI products and AI agent solutions. You’ll partner closely with product managers, machine learning engineers, and data scientists, to drive real-world impact at scale. This is a backend-heavy role with opportunities to influence architecture, async processing pipelines, distributed systems, and more.

How You Will Make a Difference

• Design and build backend systems that support scaling our AI solutions for 167K+ customers.

• Develop robust, reliable and scalable data collection and processing pipelines for machine learning models to train and consume.

• Develop robust, reliable and scalable services to serve AI models in production environments.

• Contribute to evolving our agentic architecture — making our AI agents more self-sufficient and performant.

• Contribute to a culture of ownership, experimentation, and customer-centric product thinking.

Who You Are

• 5–7 years of professional experience in software engineering, with a strong focus on backend systems and distributed architectures.

• Have hands-on experience building and deploying generative AI and agentic AI applications into production, with expertise in prompt engineering, few-shot learning, fine tuning and evaluation.

• Experienced backend engineer with a strong track record of building scalable, distributed systems, especially in the service of AI agent capabilities.

• Proficient in Python and modern backend frameworks (FastAPI, Django preferred).

• Experience creating human and automated evals to ensure high AI model quality.

• Proficient in big data tools such as Apache Spark and Hadoop.

• Deep experience with asynchronous processing and distributed task queues (Celery, Kafka, SQS, RabbitMQ, Redis).

• Strong understanding of database technologies and ORMs (SQLAlchemy, Alembic).

• Comfortable with cloud-native architectures (AWS) and container orchestration (Kubernetes); can manage infrastructure and CI/CD pipelines.

• Skilled at designing and building robust APIs.

• Able to operate with a high degree of autonomy, handle ambiguity, and thrive in a fast-moving, startup-like environment.

• Driven by curiosity. You're someone who learns and stays up to date with this rapidly evolving field.

• Comfortable collaborating directly with product managers and customers to shape solutions.

Nice to Have

• Trained ML models in the past and deployed them in production systems to generate impact to businesses.

• Experience in reinforcement learning.

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 Us:

Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry. We started with voice — the hardest and most valuable channel in insurance — and are now expanding into full workflow automation across sales, servicing, and claims. Our long-term vision is to build reasoning agents capable of handling the entire spectrum of insurance carrier and broker operations. We've raised $72M to date, including a $50M Series B in October 2025, backed by top-tier venture firms.

About The Role:

We are looking for a skilled Senior Software Engineer to join our development team and help build scalable, reliable, and innovative AI-driven applications.

You will join an amazing team of talented and motivated engineers with diverse backgrounds and experience who value collaboration, learning and improvement, trust and respect, and technical excellence. We believe in creating an environment where teammates enjoy working together, celebrate successes, and have fun solving interesting problems.

Key Responsibilities:

• Design, develop, and maintain software applications that leverage foundational LLMs and are built with high performance and scalability in mind.
• Collaborate with cross-functional teams including data scientists, product managers, and other engineers to translate business requirements into technical specifications.
• Write clean, efficient, and well-documented software.
• Participate in code reviews and provide constructive feedback to maintain the highest standard of code quality.
• Contribute to the architectural design and decisions that shape the future of our AI platform.
• Advance technical progress, gaining buy-in across the organization and ensuring alignment on strategic initiatives.
• Troubleshoot, debug, and resolve issues across the entire stack, and contribute to the on-call rotation to ensure system reliability.

Required Qualifications:

• 5+ years experience writing high-quality production software in Python.
• Extensive experience writing asynchronous, high throughput software. 
• Extensive experience with FastAPI, Django, asyncio.
• Experience with NodeJS, React, Typescript and or Express.
• Proficiency in SQL and have experience working with real-time distributed data processing systems like RabbitMQ, SNS, SQS. 
• Passionate about  exploring emerging technology, and apply your curiosity to your work.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure, and familiarity with DevOps practices.
• Comfortability in navigating ambiguity, making trade-offs to deliver features today without compromising long-term quality, and driving innovation.
• Thrive in a collaborative, fully remote, distributed team environment and have experience working asynchronously.
• Learn from mistakes, adapt quickly, and maintain a forward-focused mindset.

Preferred Qualifications:

• Experience working with foundational LLMs and understand the various approaches to maximizing their efficiency.
• Experience in regulated industries.
• Previously worked in high-growth, fast paced environments.

*Hybrid role requiring 2 days per week in Berkeley or Boston. Candidates should be based in Boston or the San Francisco Bay Area, or willing to relocate.

Salary Range: $190,000-215,000 

Benefits:

• Competitive salary with equity options
• Flexible PTO
• 401(k) plan
• Comprehensive health, dental, and vision insurance coverage
• Collaborative and innovative company culture

Who We Are

PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. Our team, comprising diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact.

We're looking for skilled and experienced engineers to join our team and help lay the groundwork for our growing software platform. We believe in using the best tool for the job. While we’re always looking to improve, in this role, those tools currently include:

• Python
• Vue.js
• Django + DRF
• Docker
• AWS: EKS, S3, RDS/PostgreSQL, SQS, MSK/Kafka

What You’ll Do 

• Solve interesting problems with code. 
• Build new features for internal and external users, and refactor existing ones to make them better.
• Work with a wide range of systems, processes, and technologies to solve problems in sustainable ways. Sometimes you'll be neck-deep in low-level systems, and other times you'll be pairing up with the front-end team on the user interface.
• Drive the architecture of our application platform, considering the team and our future product roadmap.
• Collaborate with product, design, machine learning, and infrastructure teams.
• Drive and uphold high engineering standards, bringing consistency to the codebases you encounter and ensuring software is adequately reviewed, tested, and integrated.
• Mentor, learn, and share knowledge with others along the way.
• Take responsibility for the quality of the code produced by you and the team.
• Contribute to a SaaS platform used in clinical trial workflows, ensuring reliability, data integrity, and compliance with industry standards.
• Collaborate with clinical, QA, and regulatory teams to ensure software changes meet validation expectations and support inspection readiness.

What You’ll Need

• Bachelor of Science (or higher) in Computer Science or equivalent.
• 5+ years of full life cycle development experience.
• An insatiable intellectual curiosity and the ability to learn quickly in a complex space.
• Experience and skills in designing and building Python-based (FastAPI or Django) applications.
• Experience with modern frontend JavaScript frameworks such as React, Vue, or equivalent for building responsive, user-friendly interfaces.
• Solid foundation in data structures, algorithms, and OO design.
• Ability to collaborate with a distributed team and to work autonomously on projects.
• Strong problem-solving skills and the ability to work in a fast-paced, agile environment.
• Cloud Platform experience (AWS) (knowledge of some IaC framework is a plus).
• Hands-on experience with CI/CD tools like GitLab CI is a plus.
• Knowledge of containerization technologies like Docker and container orchestration tools like Kubernetes is a plus.

We Want to Hear From You

At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for. 

PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way. 

The cash compensation outlined below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets for eligible positions. Certain roles may also qualify for overtime pay. In addition to cash compensation, some roles are eligible to participate in PathAI’s equity plan and may receive restricted stock units (RSUs). Individual compensation packages are tailored based on skills, experience, qualifications, and other job-related factors.

Annual Pay Range:
$127,500 - $195,500

Not Overtime Eligible

Eligible for RSUs

#LI-Boston

About Klaviyo

Klaviyo is a leading marketing automation platform that helps businesses grow by delivering personalized experiences. Our mission is to empower creators to own their destiny. We believe in providing an exceptional developer experience that enables our engineering teams to build and ship high-quality software efficiently and with confidence.

About the Team

The Messaging Infra organization at Klaviyo is focused on high-growth customer engagement through various messaging channels (email, SMS/MMS/RCS, mobile push, WhatsApp, and more). We work with multiple stakeholders to provide best-in-class service and reliability to connect a wide range of businesses, from entrepreneurs to enterprises, with their end users. The messaging platform is a mission-critical system, responsible for delivering billions of messages, and must be architected for massive scale and reliability.

As a Senior Lead Software Engineer within the Messaging Infra organization, you will serve as the primary technical architect for our high-volume message delivery systems while driving the overarching technical vision for channel expansion. You will partner with leaders across all channels to ensure a scalable, reliable, and performant platform strategy, acting as a key technical liaison to the broader Mobile Channels and Messaging Infrastructure pillar. Your leadership will ensure that our core systems are not just maintained, but architected to accelerate innovation and business impact while raising the bar on scalability and reliability.

What You'll Do

As a Senior Lead Software Engineer, you will have an overarching responsibility for the architecture, health, and scaling of the Messaging Infra platform with a focus on high-volume message delivery. Your role will involve:

• Technical Strategy: Define the technical strategy and architectural vision for the Messaging Infra platform, ensuring all system improvements align with long-term business goals for massive scalability, high reliability, and low latency message delivery.
• System Architecture and Improvement: Serve as the primary architect to build and improve high-volume message delivery systems across multiple channels, focusing on throughput, performance, and reliability.
• Cohesive Technical Vision: Drive technical leadership to guide architectural decisions across multiple teams, striving towards a cohesive technical vision across multiple roadmap items and providing solutions for complex problems around scalability and performance.
• Platform Rollouts and Product Execution: Oversee and execute the planning and seamless rollout of major software releases and updates for the platform, managing the entire lifecycle from design to deployment in production environments including significant individual contributions.
• Problem Solving and Reliability: Act as a go-to expert for diagnosing and resolving complex performance, scalability, and reliability issues across the messaging platform. Implement proactive monitoring and telemetry to identify and address problems before they become critical incidents.
• Mentorship: Mentor other engineers regularly, primarily experienced lead and senior engineers, to develop new technical leadership for the company.
• Cross-functional Collaboration: Partner with product managers, deliverability and compliance specialists, and other stakeholders to gather requirements, resolve conflicts, and ensure alignment across all teams and projects.
• Continuous Improvement: Stay current with emerging technologies and industry trends, evaluating new tools and practices to identify how they can improve systems and internal processes.

Who You Are

• 12 years of experience in software development, strong knowledge of computer science fundamentals, domain-driven design, and extensive expertise in architectural patterns, specifically within the domain of distributed systems.
• Have proven that you can build and scale complex distributed systems, including solving problems in sustainable ways, balancing pragmatic development with ideal architecture, breaking through technical obstacles with vigor, and leading teams through crises by working side by side with them in the trenches.
• BA or BS Degree in Computer Science, related field, or equivalent experience.
• Technical Expertise: Deep expertise in relevant programming languages (e.g., Python, Go) and cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and Infrastructure as Code (Terraform). You are particularly passionate and an expert in multiple stack areas, with strong and opinionated experience with various technologies, and know how to pick the right tool for any job.
• Technical Strategy: Demonstrated experience in contributing to the product and platform vision, as well as defining the strategy within the broader scope of long-term organizational needs.
• Architectural Skills: Strong understanding of software architecture, design patterns, and system integration, with the ability to define technical strategies and influence architectural decisions across multiple teams.
• Soft Skills: Exceptional problem-solving, analytical, leadership, and communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• 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 smarter and more efficiently.

Nice to Have

• Experience with the email and/or SMS ecosystem, including understanding of channel-specific protocols and security specifications (e.g., DKIM, DMARC, SPF), and familiarity with key 3rd-party entities (like mailbox providers, anti-abuse groups, and telecoms) and compliance rules/best practices.
• Background in performance optimization and a passion for digging into performance and scalability issues to drive breakthrough solutions.
• Familiarity with complex data management for testing, including large datasets and production-like data replication.

Our Tech Stack

• Python, Django, FastAPI, Celery
• Apache Kafka, Apache Pulsar, RabbitMQ, Spark, Airflow, and other tech from the big data stack
• MySQL, PostgreSQL, Clickhouse, Cassandra, Redis
• Typescript, React, Backbone.js, HTML, JavaScript, Babel, Jest, Webpack
• Graphite, statsd, Chronosphere
• AWS (EC2, RDS, Aurora, etc.), Terraform, Docker, Kubernetes (EKS), Pantsbuild, Argo, and other modern DevOps tools

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

At Klaviyo, the ARIA (Applications, Resources, Intelligence, and Automations) team is building the AI systems that transform how our employees work. We are looking for a Senior AI Engineer to design, build, and scale production-grade LLM integrations and AI-powered automation tools from the ground up. This role sits at the intersection of applied AI research and full-stack software engineering. You will own everything from LLM integration architecture and RAG system design to CI/CD pipeline management and production observability. If you want to build AI that real people use at scale every day, this is the role for you.

You will report into the Director of AI and App Engineering and ….

How you’ll make a difference:

• Design and build LLM-powered applications: Architect and develop production-grade systems leveraging large language models (GPT-4, Claude, Mistral, Llama) for internal automation, knowledge retrieval, and intelligent workflow assistance.
• Build and maintain AI integration pipelines: Design robust, scalable API integrations between AI models and internal systems such as HRIS, ticketing, CRM, and knowledge bases, ensuring reliability, low latency, and high availability.
• Develop full-stack AI features end-to-end: Own the complete development of AI features across the stack from backend model orchestration and API layers to frontend interfaces that make AI accessible to non-technical employees.
• Architect and manage CI/CD pipelines for AI systems: Build and maintain automated deployment pipelines for AI models and services, including model evaluation frameworks, A/B testing infrastructure, and safe rollout strategies.
• Implement RAG and retrieval systems: Design and build retrieval-augmented generation systems grounded in Klaviyo internal knowledge, ensuring accuracy, relevance, and up-to-date responses at scale.
• Evaluate and fine-tune AI models: Lead benchmarking, evaluation, and fine-tuning of foundation models for Klaviyo use cases, including prompt engineering and parameter-efficient fine-tuning techniques.
• Establish AI engineering best practices: Define coding standards, testing frameworks, and architectural patterns for AI development at Klaviyo, enabling the team to ship reliable AI features consistently.
• Build AI observability and monitoring tooling: Instrument AI systems with latency monitoring, output quality evaluation, hallucination detection, cost dashboards, and production alerting.
• Collaborate with Product and Data Science: Work closely with PMs, data scientists, and ML engineers to translate requirements into technical implementations, maintaining a tight feedback loop between experimentation and production.
• Drive security and compliance in AI systems: Ensure AI integrations follow data privacy best practices, implement guardrails for sensitive data handling, and maintain compliance with Klaviyo security and governance standards.

Who you are: 

• 3+ years of software engineering experience, with at least 2 years focused on building AI, ML, or LLM-powered systems in production.
• Deep expertise with large language models such as OpenAI, Anthropic, Mistral, or Llama, and experience integrating them into production applications via API.
• Strong full-stack engineering skills across Python (FastAPI, Flask, or Django) and TypeScript or JavaScript, with experience in modern frontend frameworks.
• Proven experience designing and building CI/CD pipelines for software or ML systems using tools such as GitHub Actions, Jenkins, or CircleCI.
• Experience with RAG systems, vector databases (Pinecone, Weaviate, pgvector), and embedding models.
• Proficiency with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code tools such as Terraform or Pulumi.
• Experience with prompt engineering, model evaluation frameworks, and LLM observability tools such as LangSmith or Weights and Biases.

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 Orchestrate Group

The Orchestrate group is responsible for how Klaviyo customers design, execute, and understand their customer communications across channels. This includes both Flows (automated journeys) and Campaigns (one-time sends)—the core surfaces where over 170,000 brands engage their audiences.

As the Senior Engineering Manager for Orchestrate, you will lead multiple teams responsible for the creation, configuration, execution, and performance insights of these experiences. You’ll play a critical role in shaping the future of multi-channel orchestration—spanning email, SMS, push, and emerging channels—while ensuring our systems scale with the growing needs of our customers.

This is a highly cross-functional and high-impact leadership role. You will partner closely with Product, Design, Data, and other Engineering leaders to define strategy, drive execution, and build a cohesive platform that powers billions of customer interactions.

How You Will Make a Difference

• Lead and scale multiple engineering teams responsible for Flows and Campaigns configuration, orchestration, and reporting experiences
• Set technical and organizational direction for Klaviyo’s orchestration platform, including multi-channel delivery, personalization, and scheduling systems
• Own execution across teams: drive planning, align dependencies, and ensure high-quality delivery across complex, cross-team initiatives
• Shape the architecture of core orchestration systems, prioritizing scalability, reliability, and extensibility across services and shared platforms
• Partner with Product and Design leadership to define long-term vision and translate it into intuitive, high-impact customer experiences
• Drive consistency across Flows and Campaigns, identifying opportunities to unify systems, abstractions, and user experiences
• Develop and grow engineering managers and senior engineers, building a strong leadership bench and high-performing, inclusive teams
• Influence broader engineering strategy, contributing to org-wide initiatives in system design, developer experience, and operational excellence
• Champion engineering excellence through design reviews, technical guidance, and thoughtful tradeoff decisions
• Identify and invest in platform opportunities that unlock faster product development and innovation across Klaviyo 

Who You Are

• 10+ years of software engineering experience, with strong fullstack fundamentals
• 5+ years of engineering management experience, including managing managers or multiple teams
• Proven ability to lead large, complex product areas with significant business impact
• Strong systems thinker with experience designing and evolving scalable distributed systems
• Experience building customer-facing SaaS products in fast-paced, product-led environments
• Comfortable operating at multiple levels: from organizational strategy to technical detail
• Track record of growing leaders and building high-performing teams
• Excellent communicator who can align stakeholders across engineering, product, and design
• Experience with multi-channel systems, personalization, or workflow/orchestration platforms is a plus
• Familiarity with modern web stacks (React, TypeScript) and backend systems (Go, Python, Django/FastAPI or similar)
• Experience with cloud infrastructure (AWS), DevOps practices, and distributed systems tooling

AI & Modern Engineering Practices

• Experience building or integrating AI/ML-powered product features, such as personalization, recommendations, content generation, or decisioning systems
• Demonstrated ability to identify high-impact opportunities for AI within product experiences and translate them into shipped features
• Experience leading teams that adopt AI-first engineering practices, including leveraging LLMs and automation tools to accelerate development, testing, and operational workflows
• Comfortable guiding teams through rapid experimentation with emerging AI tools and paradigms, while ensuring responsible and secure usage

Hybrid role out of Boston 3x/week.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Job Title: Software Engineer II - Marketing Agent

Location: Boston, MA (Hybrid 3x week)

At Klaviyo, we believe the future of software lies not in productivity tools for human users but in systems that do the hard work for them. We’ve built the infrastructure and applications that power the interface between businesses and consumers — supporting over 183,000+ customers, billions of consumer profiles, and hundreds of billions of customer interactions. Now, we’re building the next generation of AI agents that can automatically create, execute, and optimize marketing and customer experience strategies for any business.

As a Software Engineer II on Klaviyo's Marketing Agent team, you'll be at the forefront of one of the most impactful bets we're making — building an AI-powered system that autonomously creates and executes high-stakes marketing strategies on behalf of thousands of customers. This isn't backend plumbing: the work you ship directly drives revenue for the businesses that rely on Klaviyo every day. Partnering closely with product managers and technical product owners, you'll shape the scope of what's possible, turn ambitious ideas into production reality, and craft tools so intuitive they feel like superpowers to the marketers using them.

This role is primarily backend, with a strong focus on crafting robust and maintainable AI powered systems that deliver high quality strategies and marketing content that’s ready to use to our customers. There are ample opportunities for growth given the scope of this role and the team’s central role in Klaviyo’s product.

How you’ll make a difference:

• You will dramatically increase ROI for Klaviyo customers by automating most of the marketing process for them.
• You will lead and design the next generation of agentic systems at Klaviyo, pushing the frontier of AI capabilities.
• You will collaborate with AI Engineers and AI Infra Engineers to ensure our system consistently produces high quality outputs at low latency.
• You will leverage your experience to mentor and level up junior team members on engineering best practices and patterns.
• You will transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Who you are: 

• A proven track record of building high-quality products and systems, with pride in writing clean, high-quality code.
• 3+ years of experience in a software engineering role.
• Experience leading projects and being accountable for their outcomes.
• Experience mentoring team members or driving initiatives that help the team learn new skills.
• Experience conducting code reviews and running a robust testing cycle.
• Experience working in agile, fast-paced environments.
• Proficient in Python and modern web stack components such as FastAPI, Django, MySQL, Postgres.
• Experience working in cloud environments (AWS preferred).
• 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.

 Nice to have: 

• Prior work experience with AI tools such as Arize, Langgraph, Langchain
• Prior work experience building with LLMs such as GPT, Gemini, Claude

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, the ARIA (Applications, Resources, Intelligence, and Automations) team is building the AI systems that transform how our employees work. We are looking for a Senior AI Engineer to design, build, and scale production-grade LLM integrations and AI-powered automation tools from the ground up. This role sits at the intersection of applied AI research and full-stack software engineering. You will own everything from LLM integration architecture and RAG system design to CI/CD pipeline management and production observability. If you want to build AI that real people use at scale every day, this is the role for you.

You will report into the Director of AI and App Engineering and ….

How you’ll make a difference:

• Design and build LLM-powered applications: Architect and develop production-grade systems leveraging large language models (GPT-4, Claude, Mistral, Llama) for internal automation, knowledge retrieval, and intelligent workflow assistance.
• Build and maintain AI integration pipelines: Design robust, scalable API integrations between AI models and internal systems such as HRIS, ticketing, CRM, and knowledge bases, ensuring reliability, low latency, and high availability.
• Develop full-stack AI features end-to-end: Own the complete development of AI features across the stack from backend model orchestration and API layers to frontend interfaces that make AI accessible to non-technical employees.
• Architect and manage CI/CD pipelines for AI systems: Build and maintain automated deployment pipelines for AI models and services, including model evaluation frameworks, A/B testing infrastructure, and safe rollout strategies.
• Implement RAG and retrieval systems: Design and build retrieval-augmented generation systems grounded in Klaviyo internal knowledge, ensuring accuracy, relevance, and up-to-date responses at scale.
• Evaluate and fine-tune AI models: Lead benchmarking, evaluation, and fine-tuning of foundation models for Klaviyo use cases, including prompt engineering and parameter-efficient fine-tuning techniques.
• Establish AI engineering best practices: Define coding standards, testing frameworks, and architectural patterns for AI development at Klaviyo, enabling the team to ship reliable AI features consistently.
• Build AI observability and monitoring tooling: Instrument AI systems with latency monitoring, output quality evaluation, hallucination detection, cost dashboards, and production alerting.
• Collaborate with Product and Data Science: Work closely with PMs, data scientists, and ML engineers to translate requirements into technical implementations, maintaining a tight feedback loop between experimentation and production.
• Drive security and compliance in AI systems: Ensure AI integrations follow data privacy best practices, implement guardrails for sensitive data handling, and maintain compliance with Klaviyo security and governance standards.

Who you are: 

• 3+ years of software engineering experience, with at least 2 years focused on building AI, ML, or LLM-powered systems in production.
• Deep expertise with large language models such as OpenAI, Anthropic, Mistral, or Llama, and experience integrating them into production applications via API.
• Strong full-stack engineering skills across Python (FastAPI, Flask, or Django) and TypeScript or JavaScript, with experience in modern frontend frameworks.
• Proven experience designing and building CI/CD pipelines for software or ML systems using tools such as GitHub Actions, Jenkins, or CircleCI.
• Experience with RAG systems, vector databases (Pinecone, Weaviate, pgvector), and embedding models.
• Proficiency with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code tools such as Terraform or Pulumi.
• Experience with prompt engineering, model evaluation frameworks, and LLM observability tools such as LangSmith or Weights and Biases.

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 that this role is full-time in-office and based in Boston, MA.

Groma's mission is to allow everyone to own their bit of the world. We accomplish this via GromaCoin, an on-chain asset that represents diversified ownership in the Groma Real Estate Trust, a growing portfolio of real estate that currently includes 130+ buildings. Groma focuses on purchasing in the massive but historically overlooked small unit count multifamily sector, which includes millions of 2-40 unit buildings across the U.S. Our property technology platform uses AI and IoT to bring new efficiencies to these buildings and ultimately enables us to acquire, upgrade, and operate them efficiently at scale. Our investor technology platform makes owning these assets accessible to a broad array of investors, with bespoke vehicles available to institutional and family office investors and our flagship vehicle available to everyone, with a special focus on enabling ownership for the residents in our buildings. Visit www.groma.com to learn more about us.

About the Role

This senior-level role will join a small team of software engineers that build the digital infrastructure and products that power the company. These primarily include:

• Tools that are designed to make managing our large and growing real estate portfolio highly efficient for our internal staff. These are used to address the tactical challenges that arise from managing distributed real estate assets as efficiently as possible while still ensuring the best possible resident experience. We use many standard technology solutions, but also IoT smart home technology and AI to solve and optimize many of our resident and maintenance tasks.
• Products that enable investors to initiate and manage their investments into Groma’s real estate funds. A primary goal of Groma is to make real estate work better for everyone, which includes expanding ownership opportunities with audiences ranging from institutional investors to the residents in our buildings.
• Infrastructure to express shares in the Groma Real Estate Trust in a blockchain environment. Blockchain networks represent a powerful tool for us to increase transparency, enable greater investor access, and, over time, to unlock new functionality to enable our holders to get the most possible value out of owning real estate. Notably, this includes finding ways to enable GromaCoin to be used in current and emergency decentralized finance applications.

The most important traits for someone joining the team will be:

• Startup interest. We’re an early stage company and still have a lot left to figure out. There will be lots of ups and down and the team and broader company will make pivots as we go. Flexibility is important - we don’t yet have all of the answers yet and you’ll be a part of finding them. 
• Product mindset. As a startup, we need to be fast to identify and solve problems across the business. We do not have a product team, so we expect engineers to be comfortable working directly with stakeholders throughout the business to understand their needs and build pragmatic solutions to them.
• Technical breadth. As a small team, it’s highly valuable for each member to be able to operate across the entirety of our technology stack. This of course means being able to work on backend and frontend development, but also to be willing to work on our blockchain infrastructure or occasionally even just do some old-fashioned spreadsheet hacking.
• Desire to move fast. As an engineering team, we care about building reliable, secure, and easily-maintainable systems, but also recognize the need to move very quickly to meet the needs of a fast-moving startup. This means finding the right balance between quality and delivery speed. An increasing part of this is finding ways to effectively use AI-powered coding tools to do our jobs more effectively.

The core technologies that the team uses are:

• Languages: Python, TypeScript, Solidity
• Frameworks: Django, React
• Infrastructure: Google Cloud, Postgres, Ethereum

This is a role for someone that can quickly ramp up to execute independently and effectively across the range of technologies described above. You do not need to be an expert in everything mentioned, but should be very comfortable building web applications in Django or a comparable framework and at least interested in learning the rest.

About our Culture

At Groma, we’re looking to build something big and are on a fast growth trajectory. A healthy work-life balance is important to our team, but we also expect a high degree of commitment from every team member. We strive to respect individuals and their needs, while also acknowledging the reality that we have a small team that is trying to accomplish some very ambitious goals in a short period of time.

We are also focused on maintaining our dynamic in-office culture at Groma’s headquarters in beautiful downtown Boston, Massachusetts. We believe that in-person collaboration and spontaneous interpersonal interaction is critical to the company’s success at this stage. Also, our office is great - we own the whole building and have made it very much our own space. We’ve got a gym, locker rooms, a game room, a rooftop garden, and all the normal stuff to make an office an effective and fun place to be. We understand that everyone will occasionally need flexibility, but want to be explicit that this is a fully in-person role.

We have an ever-evolving list of values and conventions that guide how we operate as a company, but here are some of our core ones:

• We approach our work with pragmatic idealism that enables us to focus on our desire to make the world a better place in ways big and small while also being open to intelligent compromises that accelerate us on our path to serve our broader societal goals.
• Our whole team believes strongly that the challenges we are trying to solve require effective teams, not individual heroes.
• We have complex conversations well. We sit at the intersection of housing and blockchain policy, both nuanced topics with real world impacts. We pride ourselves on being thoughtful, seeking the best solutions to real world challenges, and implementing them effectively in the real world.

Disclaimers

While we think that this role is an amazing opportunity for the right candidate, we also want to be upfront about some of the reasons that it might not be a fit for you:

• You want to work in a partially or fully remote environment. We take great care to enable flexibility for team members, but our default will always be to be in office together.
• You just want to write code and are less interested in learning about the business. We expect engineers to spend lots of time with stakeholders figuring out what the right problems are to solve (i.e. doing "product" work), then building the solutions to them.
• Job titles are important to you or you're looking for a quick pathway into engineering management. We're a small, very flat organization and intend to keep it that way for the foreseeable future. That said, there are many other types of leadership opportunities available.
• You want a highly predictable job. We're a startup and there have been and will continue to be lots of twists and turns in our story - we change direction quickly and throw a lot of things against the wall to see what sticks.

Job Benefits

• Competitive salary for the Boston area
• Early stage equity
• 5% 401k match
• 100% employer-paid premiums for high-quality health, dental, and vision insurance plans
• Fully covered commuter passes for bus, subway, boat, or commuter rail
• Unlimited PTO
• 13 official company holidays
• 1 floating holiday: We recognize that there are lots of holidays that are meaningful to different people in different ways and we want to celebrate that by enabling team members to have the time/space to commemorate those days however is appropriate, and using it as an opportunity - if they’d like to - to share the meaning of that day with the broader team
• A beautiful office in downtown Boston with a gym, locker rooms, game room, rooftop garden, and at least one catered lunch and breakfast per week

About Klaviyo

Klaviyo is a leading marketing automation platform that helps businesses grow by delivering personalized experiences. Our mission is to empower creators to own their destiny. We believe in providing an exceptional developer experience that enables our engineering teams to build and ship high-quality software efficiently and with confidence.

About the Team

The Developer Infrastructure team at Klaviyo is at the heart of our engineering organization, dedicated to accelerating Klaviyo development. We build and maintain the tools and processes that allow engineers to maximize their focus on business objectives by minimizing time spent on build and deployment systems, foundational software "building blocks," and development environments. We are committed to fostering open communication and collaboration with our internal customers – the engineers.

As a Senior Lead Software Engineer within the Dev Infrastructure pillar, you will serve as the primary technical architect for our Dependencies and Platform domain while driving the overarching technical vision for the entire Dev Infra group. You will partner with leaders across CI/CD, Web Platform, Environments, Quality Tools & Testing and AI Enablement to ensure a cohesive infrastructure strategy, acting as a key technical liaison to the broader Core Infra organization. Your leadership will ensure that our core systems, dependency lifecycles, and platform upgrades are not just maintained, but architected to accelerate engineering velocity across the entire company.

What You'll Do

As a Senior Lead Software Engineer, you will have an overarching responsibility for the architecture, health, and dependencies for the Klaviyo code base with a focus on the backend. Your role will involve:

• Technical Strategy: Define technical strategy within the scope of the Klaviyo backend and execute to improve the area's architecture, products, infrastructure, and processes. 

• Strategic Planning and Architecture: Define the technical vision and architectural roadmap for the platform, ensuring all upgrades and dependency management align with long-term business goals for scalability, reliability, and security.
• Dependency Management: Lead efforts to determine, analyze, and optimize backend and third-party dependencies, ensuring they are secure, performant, and reliable. This includes establishing frameworks for risk assessment and contingency planning related to dependencies.
• Platform Upgrades and Rollouts: Oversee and assist with the planning and seamless rollout of major software releases and updates, managing the entire lifecycle from design to deployment in production environments including significant individual contributions.
• Enhance Developer Productivity: Drive initiatives to improve platform cycle time metrics across the board, including PR CI Speed, Human Code Review Pickup Time, and Commit Velocity by Repo. This involves a relentless focus on reducing toil and increasing engineering efficiency.
• Mentorship: Mentor other engineers regularly, primarily experienced lead and senior engineers. Ensure others in the area are developing skills they need to improve within the organization.
• Problem Solving and Reliability: Act as a go-to expert for diagnosing and resolving complex performance, scalability, and reliability issues across the platform. Implement proactive monitoring and telemetry to identify and address problems before they become critical incidents.
• Cross-functional Collaboration: Partner with product managers, security teams, hardware engineers, and other stakeholders to gather requirements, resolve conflicts, and ensure alignment across all teams and projects.
• Continuous Improvement: Stay current with emerging technologies and industry trends, evaluating new tools and practices to identify how they can improve systems and internal processes. 

Who You Are

• 12 years of experience in software development, strong knowledge of computer science fundamentals, domain-driven design, and extensive expertise in architectural patterns, specifically within the domain of distributed systems.
• BA or BS Degree in Computer Science, related field, or equivalent experience.
• Technical Expertise: Deep expertise in relevant programming languages (e.g., Go, Python) and cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and Infrastructure as Code (Terraform).
• Technical Strategy: Demonstrated experience in contributing to the product and platform vision, as well as defining the strategy within the broader scope of long-term organizational needs.
• Architectural Skills: Strong understanding of software architecture, design patterns, and system integration, with the ability to define technical strategies and influence architectural decisions across multiple teams.
• Soft Skills: Exceptional problem-solving, analytical, leadership, and communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• 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 smarter and more efficient.

Nice to Have

• Experience with specific tools such as Pants, FastAPI, Django, React, Terraform, Buildkite.
• Background in performance optimization
• Familiarity with complex data management for testing, including large datasets and production-like data replication.

Our Tech Stack

• Python, Django, FastAPI
• Apache Kafka, Apache Pulsar, RabbitMQ, Spark, Airflow, and other tech from the big data stack
• MySQL, PostgreSQL, Clickhouse, Redis
• Typescript, React, Babel, Jest, Webpack
• Graphite, statsd, Chronosphere
• AWS, Terraform, Docker, Kubernetes, Pantsbuild, Argo, and other modern DevOps tools

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Lead AI Engineer

At Klaviyo, we believe the future of software lies not in productivity tools for human users but in systems that can learn, run, and optimize themselves based on measurable outcomes. We’ve built the infrastructure and applications that power the interface between businesses and consumers — supporting over 182,000 customers, billions of consumer profiles, and hundreds of billions of customer interactions.

Now, we’re building the next generation of AI and machine learning technologies to power these products — enabling AI agents that can automatically create, execute, and optimize marketing and customer experience strategies for any business.

As a Lead AI Engineer, you’ll take ownership of designing, building, and scaling the backend and machine learning systems that form the foundation of Klaviyo’s AI strategy. You’ll partner closely with product managers, data scientists, and engineers to deliver intelligent, outcome-driven systems that operate at massive scale — while mentoring others and setting technical direction for the team.

How You Will Make a Difference

• Lead the design and development of backend and ML systems that scale to serve 182K+ customers.
  
  
• Build robust, reliable, and efficient data processing and model-serving pipelines that power production ML models.
  
  
• Develop and optimize predictive systems (e.g., conversion likelihood, engagement ranking, personalization, anomaly detection).
  
  
• Architect systems and services that enable our AI agents to learn and improve autonomously from reward or outcome signals.
  
  
• Collaborate cross-functionally to translate business challenges into scalable, measurable ML solutions.
•  
• Collaborate with software engineers and product managers to turn predictive models into intuitive product features for our customers.
  
  
• Mentor engineers and help evolve Klaviyo’s ML engineering best practices, tooling, and architecture.
  
  
• Foster a culture of ownership, experimentation, and data-driven innovation across teams.
  
  

Who You Are

• 7–10 years of experience in machine learning engineering or applied software engineering, with a focus on classical ML and predictive modeling.
  
  
• Deep understanding of supervised learning methods such as random forests, XGBoost, logistic regression, and ensemble techniques.
  
  
• Proven track record of building and scaling production-grade ML systems end to end (data pipelines, training, deployment, and monitoring).
  
  
• Experienced backend engineer comfortable with distributed systems and high-scale architectures.
  
  
• Proficient in Python and modern frameworks (FastAPI, Django preferred).
  
  
• Skilled with big data and streaming technologies (Apache Spark, Kafka, Hadoop).
  
  
• Hands-on with asynchronous processing and distributed task queues (Celery, SQS, RabbitMQ, Redis).
  
  
• Strong understanding of databases and ORMs (SQLAlchemy, Alembic) and cloud-native architectures (AWS, Kubernetes, CI/CD).
  
  
• Excellent communicator who can set technical direction, influence product strategy, and mentor junior engineers.
  
  
• Curious, pragmatic, and passionate about building AI systems that drive measurable business impact.
  
  

Nice to Have

• Experience training and deploying ML models in production environments that generated measurable impact.
  
  
• Familiarity with reinforcement learning or agentic AI systems that adapt based on outcome or reward signals.
  
  

#indeedRD

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

About Klaviyo

Klaviyo is a leading marketing automation platform that helps businesses grow by delivering personalized experiences. Our mission is to empower creators to own their destiny. We believe in providing an exceptional developer experience that enables our engineering teams to build and ship high-quality software efficiently and with confidence.

About the Team

The Developer Infrastructure team at Klaviyo is at the heart of our engineering organization, dedicated to accelerating Klaviyo development. We build and maintain the tools and processes that allow engineers to maximize their focus on business objectives by minimizing time spent on build and deployment systems, foundational software "building blocks," and development environments. We are committed to fostering open communication and collaboration with our internal customers – the engineers.

As a Senior Lead Software Engineer within the Dev Infrastructure pillar, you will serve as the primary technical architect for our Dependencies and Platform domain while driving the overarching technical vision for the entire Dev Infra group. You will partner with leaders across CI/CD, Web Platform, Environments, Quality Tools & Testing and AI Enablement to ensure a cohesive infrastructure strategy, acting as a key technical liaison to the broader Core Infra organization. Your leadership will ensure that our core systems, dependency lifecycles, and platform upgrades are not just maintained, but architected to accelerate engineering velocity across the entire company.

What You'll Do

As a Senior Lead Software Engineer, you will have an overarching responsibility for the architecture, health, and dependencies for the Klaviyo code base with a focus on the backend. Your role will involve:

• Technical Strategy: Define technical strategy within the scope of the Klaviyo backend and execute to improve the area's architecture, products, infrastructure, and processes. 

• Strategic Planning and Architecture: Define the technical vision and architectural roadmap for the platform, ensuring all upgrades and dependency management align with long-term business goals for scalability, reliability, and security.
• Dependency Management: Lead efforts to determine, analyze, and optimize backend and third-party dependencies, ensuring they are secure, performant, and reliable. This includes establishing frameworks for risk assessment and contingency planning related to dependencies.
• Platform Upgrades and Rollouts: Oversee and assist with the planning and seamless rollout of major software releases and updates, managing the entire lifecycle from design to deployment in production environments including significant individual contributions.
• Enhance Developer Productivity: Drive initiatives to improve platform cycle time metrics across the board, including PR CI Speed, Human Code Review Pickup Time, and Commit Velocity by Repo. This involves a relentless focus on reducing toil and increasing engineering efficiency.
• Mentorship: Mentor other engineers regularly, primarily experienced lead and senior engineers. Ensure others in the area are developing skills they need to improve within the organization.
• Problem Solving and Reliability: Act as a go-to expert for diagnosing and resolving complex performance, scalability, and reliability issues across the platform. Implement proactive monitoring and telemetry to identify and address problems before they become critical incidents.
• Cross-functional Collaboration: Partner with product managers, security teams, hardware engineers, and other stakeholders to gather requirements, resolve conflicts, and ensure alignment across all teams and projects.
• Continuous Improvement: Stay current with emerging technologies and industry trends, evaluating new tools and practices to identify how they can improve systems and internal processes. 

Who You Are

• 12 years of experience in software development, strong knowledge of computer science fundamentals, domain-driven design, and extensive expertise in architectural patterns, specifically within the domain of distributed systems.
• BA or BS Degree in Computer Science, related field, or equivalent experience.
• Technical Expertise: Deep expertise in relevant programming languages (e.g., Go, Python) and cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and Infrastructure as Code (Terraform).
• Technical Strategy: Demonstrated experience in contributing to the product and platform vision, as well as defining the strategy within the broader scope of long-term organizational needs.
• Architectural Skills: Strong understanding of software architecture, design patterns, and system integration, with the ability to define technical strategies and influence architectural decisions across multiple teams.
• Soft Skills: Exceptional problem-solving, analytical, leadership, and communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• 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 smarter and more efficient.

Nice to Have

• Experience with specific tools such as Pants, FastAPI, Django, React, Terraform, Buildkite.
• Background in performance optimization
• Familiarity with complex data management for testing, including large datasets and production-like data replication.

Our Tech Stack

• Python, Django, FastAPI
• Apache Kafka, Apache Pulsar, RabbitMQ, Spark, Airflow, and other tech from the big data stack
• MySQL, PostgreSQL, Clickhouse, Redis
• Typescript, React, Babel, Jest, Webpack
• Graphite, statsd, Chronosphere
• AWS, Terraform, Docker, Kubernetes, Pantsbuild, Argo, and other modern DevOps tools

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Job Title: Sr. Lead AI Engineer
Location: Boston, MA

This role is based in our Boston, MA hub (Hybrid-3x week). 

About the Role

At Klaviyo, we believe the future of software isn’t just better productivity tools for humans—it’s systems that can run, optimize, and adapt themselves based on outcome and reward signals. We’ve already built the infrastructure and applications that sit between businesses and consumers—serving 183,000+ customers, billions of consumer profiles, and hundreds of billions of messages and conversion events. Now we’re investing heavily in Marketing AI and Service AI: the shared services and agentic capabilities that power AI‑native experiences across Klaviyo.

As a Sr. Lead AI Engineer in the AI & Analytics organization, you’ll be the technical leader for a set of high‑impact AI services and agentic systems. You’ll own architecture and execution for complex, distributed backend systems; guide other engineers through design and implementation; and partner closely with product, machine learning, and data science to turn AI ideas into reliable, scalable production capabilities. This is a hands-on tech lead role, not a people‑manager role.

How You’ll Make a Difference

• Define and improve the engineering architecture for Service and Marketing AI capabilities. Lead the design of scalable, low‑latency backend systems and APIs that power our AI products and agents for 183K+ customers, handling billions of events and interactions.
• Build and harden AI serving systems. Lead the development of services that host and orchestrate AI models (LLMs, tools, evaluators, retrieval systems), with clear contracts, SLOs, and observability so other teams can depend on them.
• Evolve our agentic architecture. Drive the technical roadmap for Service and Marketing AI agents—improving tool use, autonomy, and reliability so agents can safely take actions on behalf of customers and internal users with minimal human intervention.
• Set engineering standards for AI services. Establish best practices for evaluation, safety/guardrails, prompt and model versioning, offline and online tests, and incident response for AI‑backed systems; hold the bar for design reviews and code quality.
• Lead cross‑team technical work. Act as the primary technical interface between Service / Marketing AI and other product/platform teams—clarifying ownership boundaries, aligning on interfaces, and unblocking dependencies across hubs and time zones.
• Mentor and uplevel engineers. Coach senior and mid‑level engineers through design, implementation, and operational best practices, helping them grow into stronger system owners and future tech leads.
• Help build the Palo Alto hub. Shape local engineering rituals, help with hiring and onboarding, and create healthy patterns for cross‑hub collaboration so work and career opportunities are not constrained by geography.
• Measure what matters. Define and track key metrics for your systems—availability, latency, cost‑to‑serve, agent success rates, eval scores, and customer adoption—and use those insights to drive roadmap and technical decisions.
• Transform engineering and product development workflows by putting AI at the center, building & utilizing agentic coding tools and AI-first working.

Who You Are

• Seasoned backend engineer & tech lead. 8+ years of professional software engineering experience with a strong focus on backend and distributed systems; you’ve led complex projects or areas end‑to‑end and acted as the go‑to technical owner for key services.
• Hands‑on with generative & agentic AI in production. You’ve built and shipped generative or agentic AI applications (e.g., LLM‑backed flows, tool‑using agents, retrieval‑augmented systems) and are comfortable with prompt design, few‑shot approaches, fine‑tuning, and evaluation.
• Deep experience with large‑scale distributed systems. You’ve architected and operated reliable services, async processing pipelines, and distributed task queues (e.g., Celery, Kafka, SQS, RabbitMQ, Redis) supporting high‑throughput workloads.
• Strong Python and data tooling fluency. Proficient in Python and modern backend frameworks (FastAPI, Django or similar), with experience using big data tools such as Spark/Hadoop and ORMs like SQLAlchemy/Alembic.
• Production‑grade cloud experience. Comfortable with AWS and Kubernetes, CI/CD pipelines, observability, and operational best practices; you treat infrastructure choices as part of the system design, not an afterthought.
• Evaluation and quality‑obsessed. You’ve designed human and automated evals for AI systems, know how to instrument for quality, and understand how to balance latency, cost, and response quality in real‑world usage.
• Technical leader, not just individual contributor. You influence architecture beyond your own code, facilitate design reviews, rally cross‑functional partners, and help teams converge on pragmatic decisions in ambiguous spaces.
• Collaborative and customer‑first. You’re comfortable collaborating directly with PMs, ML engineers, and customers; you can translate between customer needs, product goals, and technical constraints, and you care deeply about the customer experience.
• You’ve already been effectively practicing agentic coding in your daily work. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.
• Bonus: You use AI tools to accelerate exploration, shorten iteration cycles, and bring sharper ideas to the table—for yourself and your teammates.

Nice to Haves

• Prior experience training and deploying ML models (including RL or RLHF) into production systems that drove measurable business impact.
• Experience building shared AI/ML platforms or services used by multiple product teams.
• Background in marketing tech, ecommerce, or other domains where customer data, personalization, and experimentation are central.

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 Channel Processing Team 

The Channel Processing team has direct technical responsibility for Klaviyo’s most-used engagement product. It is responsible for designing, building and operating highly-scalable, highly-available distributed systems to process ever-increasing campaign traffic. Our systems are used by hundreds of thousands Klaviyo customers to schedule/process tens of thousands campaigns and deliver over 1B messages every day. Besides the daily high volume traffic, the more challenging task is to  deal with super spiky volume at online sale seasons. During the 2025 Black Friday and Cyber Monday, over 10B messages got processed and delivered through our system without any manual intervention. We’re proud of these achievements and passionate about continually scaling and evolving our systems to support and help drive Klaviyo’s rapid growth by using modern technologies and patterns.  Going beyond the established channels, this team is aiming to build a highly generic and extensible campaign platform to empower the new emerging message channels in future by leveraging our years of experience/expertise. If you like to take on new challenges working on large-scale, complex systems, come join us.

How You Will Make a Difference 

• In this role, you will own and build features/services that hundreds of thousands of Klaviyo customers rely on daily to drive their business forward.
• Work on crafting our highly-scalable, highly-available campaign pipeline that processes and delivers hundreds of millions of messages daily growing to billions scale.
• Collaborate radically with teams and stakeholders across Klaviyo on designs, implementations, and engineering practices.
• Learn new technologies, bring them to the team and apply them to evolve our systems to the next level.
• Help us improve our experimentation and development processes, and mentor other engineers on the team.
• Participate in the technical interview process to help maintain a high bar for our growing teams
• Contribute to the company as a subject matter expert, constantly pushing yourself to be a better engineer and to level up all of your peers within your team and within Klaviyo.

Who You Are 

• Have 4-6+ years of experience in a software engineering discipline and have architected, built and delivered at least one complex system.
• Experience on large-scale system architecture, technologies and patterns. Have a good understanding of their pros/cons and use scenarios, able to apply them to system design by making appropriate tradeoffs to meet the business needs best.
• Love digging into performance and scalability issues to drive breakthrough solutions-- whether it's a performance degradation or too many clicks in a workflow, a database query timing out, or a queue that just won’t drain. You recognize all problems can be solved.
• Passionate about growing and improving a product daily using a data driven mindset, familiar with system monitoring and alerting techniques.
• Proven experience with being a coach and a mentor for team members and helping them grow.
• Like working on small, high-performing autonomous agile teams. At Klaviyo, you will have ownership of features, but you'll collaborate radically with everyone to make sure we produce the right solution.

Technologies we use (not exhaustive):

Languages & Frameworks: Python, Django, React

Data & Infrastructure: MySQL, Redis, Memcached, Apache Zookeeper, Apache Pulsar

Cloud & DevOps: AWS (EC2, RDS, Aurora), Terraform, Jenkins

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 this position:

We’re looking for a deeply technical, strategically minded Domain Architect to lead the next evolution of our platform architecture. In this role, you’ll rapidly assess our existing systems, define convergence opportunities between key domains, and shape the integration strategy that drives scalability, velocity, and long-term technical excellence. You’ll bridge product, engineering, and data to define clear domain boundaries, establish technical standards, and guide the modernization of our architecture—ensuring we balance innovation with business impact.

This role is ideal for an experienced architect who thrives in fast-moving environments, understands the trade-offs between pragmatism and purity, and can translate complex technical concepts into clear, actionable decisions across teams.

What you'll be doing:

Strategy

• Evaluate and define the target-state domain architecture across multiple products, identifying convergence opportunities and technical debt reduction paths.
• Design and lead a scalable integration strategy between heterogeneous systems (e.g., Rails <-> Node/React Native via APIs, Kafka, or event streams).
• Define domain boundaries and service ownership models that enable sustainable growth and platform flexibility.
• Partner with Product and Engineering leadership to align architectural priorities with product roadmaps and business outcomes.
• Lead cross-functional discussions on modernization strategy, balancing short-term delivery with long-term scalability.

Technical/ Execution

• Decompose monolithic applications (Rails, Django, Laravel) into domain-based services or bounded contexts, using domain-driven design principles.
• Define integration and data synchronization patterns between distributed systems, ensuring schema evolution and API versioning best practices.
• Architect core platform services—authentication, identity, content, and analytics—shared across web and mobile products.
• Apply deep hands-on knowledge of AWS (EC2, ECS/EKS, Lambda, S3, RDS/Postgres, EventBridge/SNS/SQS) and IaC tools (Terraform, CloudFormation).
• Introduce observability, monitoring, and CI/CD standards (Datadog, OpenTelemetry, GitHub Actions, CircleCI) that support secure, high-quality releases.
• Provide technical mentorship and architectural reviews to ensure strong engineering standards and knowledge transfer across teams.

Team / Collaboration

• Partner with Product, Design, and Engineering leaders to guide architecture decisions that optimize both user experience and technical sustainability.
• Contribute to architecture guilds and domain working groups, defining shared frameworks and principles for system evolution.
• Communicate architectural trade-offs clearly—speed vs scalability, build vs buy, monolith vs microservice—to technical and non-technical stakeholders.
• Author and socialize Architecture Decision Records (ADRs), domain maps, and shared service contracts to ensure alignment and transparency.
• Act as a trusted advisor and mentor to senior engineers, promoting best practices in distributed system design and software craftsmanship.

Leadership

• Lead by influence across engineering teams, setting a high bar for architectural rigor, documentation, and technical collaboration.
• Champion scalable, pragmatic engineering principles that accelerate business velocity while building for the future.
• Drive the adoption of a modern technical culture—balancing innovation, quality, and accountability.

Research/Best Practices

• Stay current on evolving architectural paradigms (domain-driven design, event-driven systems, microservices, and data mesh patterns).
• Introduce architectural innovations and tools that improve developer efficiency, code quality, and system observability.
• Conduct architecture reviews and share learnings company-wide to foster continuous improvement and technical excellence.

What success looks like:

• Clear domain boundaries and service ownership models are defined and adopted across engineering teams.
• Integration patterns between systems are reliable, documented, and scalable, supporting faster feature delivery.
• Architecture decisions are data-informed, balancing speed, cost, and technical debt effectively.
• The engineering organization demonstrates improved velocity and reduced friction between teams.
• Foundational technical debt reduction and modernization initiatives are underway, with measurable impact on reliability and maintainability.
• You’re seen as a collaborative, trusted technical leader who bridges architecture and product strategy seamlessly.

What you bring:

• 10+ years of progressive software engineering experience, with at least 3+ years in a senior or principal architecture role.
• Proven expertise designing and evolving architectures in high-scale, multi-product environments (Rails, Node.js, React Native preferred).
• Deep understanding of domain-driven design (DDD), service decomposition, and event-driven patterns.
• Strong AWS architecture experience (ECS/EKS, Lambda, RDS, S3, EventBridge, SQS/SNS) and infrastructure-as-code (Terraform, CloudFormation).
• Demonstrated ability to modernize legacy systems incrementally, driving results without full rebuilds.
• Solid understanding of data synchronization, API design, schema evolution, and distributed systems reliability.
• Experience defining and implementing CI/CD pipelines, observability stacks, and deployment strategies (canary, blue-green, multi-env).
• Excellent communication and stakeholder management skills, with the ability to simplify complex ideas for diverse audiences.
• Passion for mentorship, system design, and building architectures that enable product and team growth.

How you work: 

Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.

Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.

Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.

Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.

Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.

Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$200,000 - 230,000 OTE

#LI-remote

About this position:

We’re looking for a deeply technical, strategically minded Domain Architect to lead the next evolution of our platform architecture. In this role, you’ll rapidly assess our existing systems, define convergence opportunities between key domains, and shape the integration strategy that drives scalability, velocity, and long-term technical excellence. You’ll bridge product, engineering, and data to define clear domain boundaries, establish technical standards, and guide the modernization of our architecture—ensuring we balance innovation with business impact.

This role is ideal for an experienced architect who thrives in fast-moving environments, understands the trade-offs between pragmatism and purity, and can translate complex technical concepts into clear, actionable decisions across teams.

What you'll be doing:

Strategy

• Evaluate and define the target-state domain architecture across multiple products, identifying convergence opportunities and technical debt reduction paths.
• Design and lead a scalable integration strategy between heterogeneous systems (e.g., Rails <-> Node/React Native via APIs, Kafka, or event streams).
• Define domain boundaries and service ownership models that enable sustainable growth and platform flexibility.
• Partner with Product and Engineering leadership to align architectural priorities with product roadmaps and business outcomes.
• Lead cross-functional discussions on modernization strategy, balancing short-term delivery with long-term scalability.

Technical/ Execution

• Decompose monolithic applications (Rails, Django, Laravel) into domain-based services or bounded contexts, using domain-driven design principles.
• Define integration and data synchronization patterns between distributed systems, ensuring schema evolution and API versioning best practices.
• Architect core platform services—authentication, identity, content, and analytics—shared across web and mobile products.
• Apply deep hands-on knowledge of AWS (EC2, ECS/EKS, Lambda, S3, RDS/Postgres, EventBridge/SNS/SQS) and IaC tools (Terraform, CloudFormation).
• Introduce observability, monitoring, and CI/CD standards (Datadog, OpenTelemetry, GitHub Actions, CircleCI) that support secure, high-quality releases.
• Provide technical mentorship and architectural reviews to ensure strong engineering standards and knowledge transfer across teams.

Team / Collaboration

• Partner with Product, Design, and Engineering leaders to guide architecture decisions that optimize both user experience and technical sustainability.
• Contribute to architecture guilds and domain working groups, defining shared frameworks and principles for system evolution.
• Communicate architectural trade-offs clearly—speed vs scalability, build vs buy, monolith vs microservice—to technical and non-technical stakeholders.
• Author and socialize Architecture Decision Records (ADRs), domain maps, and shared service contracts to ensure alignment and transparency.
• Act as a trusted advisor and mentor to senior engineers, promoting best practices in distributed system design and software craftsmanship.

Leadership

• Lead by influence across engineering teams, setting a high bar for architectural rigor, documentation, and technical collaboration.
• Champion scalable, pragmatic engineering principles that accelerate business velocity while building for the future.
• Drive the adoption of a modern technical culture—balancing innovation, quality, and accountability.

Research/Best Practices

• Stay current on evolving architectural paradigms (domain-driven design, event-driven systems, microservices, and data mesh patterns).
• Introduce architectural innovations and tools that improve developer efficiency, code quality, and system observability.
• Conduct architecture reviews and share learnings company-wide to foster continuous improvement and technical excellence.

What success looks like:

• Clear domain boundaries and service ownership models are defined and adopted across engineering teams.
• Integration patterns between systems are reliable, documented, and scalable, supporting faster feature delivery.
• Architecture decisions are data-informed, balancing speed, cost, and technical debt effectively.
• The engineering organization demonstrates improved velocity and reduced friction between teams.
• Foundational technical debt reduction and modernization initiatives are underway, with measurable impact on reliability and maintainability.
• You’re seen as a collaborative, trusted technical leader who bridges architecture and product strategy seamlessly.

What you bring:

• 10+ years of progressive software engineering experience, with at least 3+ years in a senior or principal architecture role.
• Proven expertise designing and evolving architectures in high-scale, multi-product environments (Rails, Node.js, React Native preferred).
• Deep understanding of domain-driven design (DDD), service decomposition, and event-driven patterns.
• Strong AWS architecture experience (ECS/EKS, Lambda, RDS, S3, EventBridge, SQS/SNS) and infrastructure-as-code (Terraform, CloudFormation).
• Demonstrated ability to modernize legacy systems incrementally, driving results without full rebuilds.
• Solid understanding of data synchronization, API design, schema evolution, and distributed systems reliability.
• Experience defining and implementing CI/CD pipelines, observability stacks, and deployment strategies (canary, blue-green, multi-env).
• Excellent communication and stakeholder management skills, with the ability to simplify complex ideas for diverse audiences.
• Passion for mentorship, system design, and building architectures that enable product and team growth.

How you work: 

Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.

Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.

Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.

Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.

Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.

Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$200,000 - 230,000 OTE

#LI-remote

About this position:

We’re looking for a deeply technical, strategically minded Domain Architect to lead the next evolution of our platform architecture. In this role, you’ll rapidly assess our existing systems, define convergence opportunities between key domains, and shape the integration strategy that drives scalability, velocity, and long-term technical excellence. You’ll bridge product, engineering, and data to define clear domain boundaries, establish technical standards, and guide the modernization of our architecture—ensuring we balance innovation with business impact.

This role is ideal for an experienced architect who thrives in fast-moving environments, understands the trade-offs between pragmatism and purity, and can translate complex technical concepts into clear, actionable decisions across teams.

What you'll be doing:

Strategy

• Evaluate and define the target-state domain architecture across multiple products, identifying convergence opportunities and technical debt reduction paths.
• Design and lead a scalable integration strategy between heterogeneous systems (e.g., Rails <-> Node/React Native via APIs, Kafka, or event streams).
• Define domain boundaries and service ownership models that enable sustainable growth and platform flexibility.
• Partner with Product and Engineering leadership to align architectural priorities with product roadmaps and business outcomes.
• Lead cross-functional discussions on modernization strategy, balancing short-term delivery with long-term scalability.

Technical/ Execution

• Decompose monolithic applications (Rails, Django, Laravel) into domain-based services or bounded contexts, using domain-driven design principles.
• Define integration and data synchronization patterns between distributed systems, ensuring schema evolution and API versioning best practices.
• Architect core platform services—authentication, identity, content, and analytics—shared across web and mobile products.
• Apply deep hands-on knowledge of AWS (EC2, ECS/EKS, Lambda, S3, RDS/Postgres, EventBridge/SNS/SQS) and IaC tools (Terraform, CloudFormation).
• Introduce observability, monitoring, and CI/CD standards (Datadog, OpenTelemetry, GitHub Actions, CircleCI) that support secure, high-quality releases.
• Provide technical mentorship and architectural reviews to ensure strong engineering standards and knowledge transfer across teams.

Team / Collaboration

• Partner with Product, Design, and Engineering leaders to guide architecture decisions that optimize both user experience and technical sustainability.
• Contribute to architecture guilds and domain working groups, defining shared frameworks and principles for system evolution.
• Communicate architectural trade-offs clearly—speed vs scalability, build vs buy, monolith vs microservice—to technical and non-technical stakeholders.
• Author and socialize Architecture Decision Records (ADRs), domain maps, and shared service contracts to ensure alignment and transparency.
• Act as a trusted advisor and mentor to senior engineers, promoting best practices in distributed system design and software craftsmanship.

Leadership

• Lead by influence across engineering teams, setting a high bar for architectural rigor, documentation, and technical collaboration.
• Champion scalable, pragmatic engineering principles that accelerate business velocity while building for the future.
• Drive the adoption of a modern technical culture—balancing innovation, quality, and accountability.

Research/Best Practices

• Stay current on evolving architectural paradigms (domain-driven design, event-driven systems, microservices, and data mesh patterns).
• Introduce architectural innovations and tools that improve developer efficiency, code quality, and system observability.
• Conduct architecture reviews and share learnings company-wide to foster continuous improvement and technical excellence.

What success looks like:

• Clear domain boundaries and service ownership models are defined and adopted across engineering teams.
• Integration patterns between systems are reliable, documented, and scalable, supporting faster feature delivery.
• Architecture decisions are data-informed, balancing speed, cost, and technical debt effectively.
• The engineering organization demonstrates improved velocity and reduced friction between teams.
• Foundational technical debt reduction and modernization initiatives are underway, with measurable impact on reliability and maintainability.
• You’re seen as a collaborative, trusted technical leader who bridges architecture and product strategy seamlessly.

What you bring:

• 10+ years of progressive software engineering experience, with at least 3+ years in a senior or principal architecture role.
• Proven expertise designing and evolving architectures in high-scale, multi-product environments (Rails, Node.js, React Native preferred).
• Deep understanding of domain-driven design (DDD), service decomposition, and event-driven patterns.
• Strong AWS architecture experience (ECS/EKS, Lambda, RDS, S3, EventBridge, SQS/SNS) and infrastructure-as-code (Terraform, CloudFormation).
• Demonstrated ability to modernize legacy systems incrementally, driving results without full rebuilds.
• Solid understanding of data synchronization, API design, schema evolution, and distributed systems reliability.
• Experience defining and implementing CI/CD pipelines, observability stacks, and deployment strategies (canary, blue-green, multi-env).
• Excellent communication and stakeholder management skills, with the ability to simplify complex ideas for diverse audiences.
• Passion for mentorship, system design, and building architectures that enable product and team growth.

How you work: 

Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.

Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.

Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.

Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.

Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.

Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$200,000 - 230,000 OTE

#LI-Hybrid  

About this position:

We’re looking for a deeply technical, strategically minded Domain Architect to lead the next evolution of our platform architecture. In this role, you’ll rapidly assess our existing systems, define convergence opportunities between key domains, and shape the integration strategy that drives scalability, velocity, and long-term technical excellence. You’ll bridge product, engineering, and data to define clear domain boundaries, establish technical standards, and guide the modernization of our architecture—ensuring we balance innovation with business impact.

This role is ideal for an experienced architect who thrives in fast-moving environments, understands the trade-offs between pragmatism and purity, and can translate complex technical concepts into clear, actionable decisions across teams.

What you'll be doing:

Strategy

• Evaluate and define the target-state domain architecture across multiple products, identifying convergence opportunities and technical debt reduction paths.
• Design and lead a scalable integration strategy between heterogeneous systems (e.g., Rails <-> Node/React Native via APIs, Kafka, or event streams).
• Define domain boundaries and service ownership models that enable sustainable growth and platform flexibility.
• Partner with Product and Engineering leadership to align architectural priorities with product roadmaps and business outcomes.
• Lead cross-functional discussions on modernization strategy, balancing short-term delivery with long-term scalability.

Technical/ Execution

• Decompose monolithic applications (Rails, Django, Laravel) into domain-based services or bounded contexts, using domain-driven design principles.
• Define integration and data synchronization patterns between distributed systems, ensuring schema evolution and API versioning best practices.
• Architect core platform services—authentication, identity, content, and analytics—shared across web and mobile products.
• Apply deep hands-on knowledge of AWS (EC2, ECS/EKS, Lambda, S3, RDS/Postgres, EventBridge/SNS/SQS) and IaC tools (Terraform, CloudFormation).
• Introduce observability, monitoring, and CI/CD standards (Datadog, OpenTelemetry, GitHub Actions, CircleCI) that support secure, high-quality releases.
• Provide technical mentorship and architectural reviews to ensure strong engineering standards and knowledge transfer across teams.

Team / Collaboration

• Partner with Product, Design, and Engineering leaders to guide architecture decisions that optimize both user experience and technical sustainability.
• Contribute to architecture guilds and domain working groups, defining shared frameworks and principles for system evolution.
• Communicate architectural trade-offs clearly—speed vs scalability, build vs buy, monolith vs microservice—to technical and non-technical stakeholders.
• Author and socialize Architecture Decision Records (ADRs), domain maps, and shared service contracts to ensure alignment and transparency.
• Act as a trusted advisor and mentor to senior engineers, promoting best practices in distributed system design and software craftsmanship.

Leadership

• Lead by influence across engineering teams, setting a high bar for architectural rigor, documentation, and technical collaboration.
• Champion scalable, pragmatic engineering principles that accelerate business velocity while building for the future.
• Drive the adoption of a modern technical culture—balancing innovation, quality, and accountability.

Research/Best Practices

• Stay current on evolving architectural paradigms (domain-driven design, event-driven systems, microservices, and data mesh patterns).
• Introduce architectural innovations and tools that improve developer efficiency, code quality, and system observability.
• Conduct architecture reviews and share learnings company-wide to foster continuous improvement and technical excellence.

What success looks like:

• Clear domain boundaries and service ownership models are defined and adopted across engineering teams.
• Integration patterns between systems are reliable, documented, and scalable, supporting faster feature delivery.
• Architecture decisions are data-informed, balancing speed, cost, and technical debt effectively.
• The engineering organization demonstrates improved velocity and reduced friction between teams.
• Foundational technical debt reduction and modernization initiatives are underway, with measurable impact on reliability and maintainability.
• You’re seen as a collaborative, trusted technical leader who bridges architecture and product strategy seamlessly.

What you bring:

• 10+ years of progressive software engineering experience, with at least 3+ years in a senior or principal architecture role.
• Proven expertise designing and evolving architectures in high-scale, multi-product environments (Rails, Node.js, React Native preferred).
• Deep understanding of domain-driven design (DDD), service decomposition, and event-driven patterns.
• Strong AWS architecture experience (ECS/EKS, Lambda, RDS, S3, EventBridge, SQS/SNS) and infrastructure-as-code (Terraform, CloudFormation).
• Demonstrated ability to modernize legacy systems incrementally, driving results without full rebuilds.
• Solid understanding of data synchronization, API design, schema evolution, and distributed systems reliability.
• Experience defining and implementing CI/CD pipelines, observability stacks, and deployment strategies (canary, blue-green, multi-env).
• Excellent communication and stakeholder management skills, with the ability to simplify complex ideas for diverse audiences.
• Passion for mentorship, system design, and building architectures that enable product and team growth.

How you work: 

Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.

Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.

Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.

Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.

Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.

Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$200,000 - 230,000 OTE

#LI-Remote

About this position:

We’re looking for a deeply technical, strategically minded Domain Architect to lead the next evolution of our platform architecture. In this role, you’ll rapidly assess our existing systems, define convergence opportunities between key domains, and shape the integration strategy that drives scalability, velocity, and long-term technical excellence. You’ll bridge product, engineering, and data to define clear domain boundaries, establish technical standards, and guide the modernization of our architecture—ensuring we balance innovation with business impact.

This role is ideal for an experienced architect who thrives in fast-moving environments, understands the trade-offs between pragmatism and purity, and can translate complex technical concepts into clear, actionable decisions across teams.

What you'll be doing:

Strategy

• Evaluate and define the target-state domain architecture across multiple products, identifying convergence opportunities and technical debt reduction paths.
• Design and lead a scalable integration strategy between heterogeneous systems (e.g., Rails <-> Node/React Native via APIs, Kafka, or event streams).
• Define domain boundaries and service ownership models that enable sustainable growth and platform flexibility.
• Partner with Product and Engineering leadership to align architectural priorities with product roadmaps and business outcomes.
• Lead cross-functional discussions on modernization strategy, balancing short-term delivery with long-term scalability.

Technical/ Execution

• Decompose monolithic applications (Rails, Django, Laravel) into domain-based services or bounded contexts, using domain-driven design principles.
• Define integration and data synchronization patterns between distributed systems, ensuring schema evolution and API versioning best practices.
• Architect core platform services—authentication, identity, content, and analytics—shared across web and mobile products.
• Apply deep hands-on knowledge of AWS (EC2, ECS/EKS, Lambda, S3, RDS/Postgres, EventBridge/SNS/SQS) and IaC tools (Terraform, CloudFormation).
• Introduce observability, monitoring, and CI/CD standards (Datadog, OpenTelemetry, GitHub Actions, CircleCI) that support secure, high-quality releases.
• Provide technical mentorship and architectural reviews to ensure strong engineering standards and knowledge transfer across teams.

Team / Collaboration

• Partner with Product, Design, and Engineering leaders to guide architecture decisions that optimize both user experience and technical sustainability.
• Contribute to architecture guilds and domain working groups, defining shared frameworks and principles for system evolution.
• Communicate architectural trade-offs clearly—speed vs scalability, build vs buy, monolith vs microservice—to technical and non-technical stakeholders.
• Author and socialize Architecture Decision Records (ADRs), domain maps, and shared service contracts to ensure alignment and transparency.
• Act as a trusted advisor and mentor to senior engineers, promoting best practices in distributed system design and software craftsmanship.

Leadership

• Lead by influence across engineering teams, setting a high bar for architectural rigor, documentation, and technical collaboration.
• Champion scalable, pragmatic engineering principles that accelerate business velocity while building for the future.
• Drive the adoption of a modern technical culture—balancing innovation, quality, and accountability.

Research/Best Practices

• Stay current on evolving architectural paradigms (domain-driven design, event-driven systems, microservices, and data mesh patterns).
• Introduce architectural innovations and tools that improve developer efficiency, code quality, and system observability.
• Conduct architecture reviews and share learnings company-wide to foster continuous improvement and technical excellence.

What success looks like:

• Clear domain boundaries and service ownership models are defined and adopted across engineering teams.
• Integration patterns between systems are reliable, documented, and scalable, supporting faster feature delivery.
• Architecture decisions are data-informed, balancing speed, cost, and technical debt effectively.
• The engineering organization demonstrates improved velocity and reduced friction between teams.
• Foundational technical debt reduction and modernization initiatives are underway, with measurable impact on reliability and maintainability.
• You’re seen as a collaborative, trusted technical leader who bridges architecture and product strategy seamlessly.

What you bring:

• 10+ years of progressive software engineering experience, with at least 3+ years in a senior or principal architecture role.
• Proven expertise designing and evolving architectures in high-scale, multi-product environments (Rails, Node.js, React Native preferred).
• Deep understanding of domain-driven design (DDD), service decomposition, and event-driven patterns.
• Strong AWS architecture experience (ECS/EKS, Lambda, RDS, S3, EventBridge, SQS/SNS) and infrastructure-as-code (Terraform, CloudFormation).
• Demonstrated ability to modernize legacy systems incrementally, driving results without full rebuilds.
• Solid understanding of data synchronization, API design, schema evolution, and distributed systems reliability.
• Experience defining and implementing CI/CD pipelines, observability stacks, and deployment strategies (canary, blue-green, multi-env).
• Excellent communication and stakeholder management skills, with the ability to simplify complex ideas for diverse audiences.
• Passion for mentorship, system design, and building architectures that enable product and team growth.

How you work: 

Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.

Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.

Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.

Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.

Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.

Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$200,000 - 230,000 OTE

#LI-Hybrid  

Please note that this role is full-time in-office and based in Boston, MA.

Groma is blending real estate and technology to unlock a new real estate asset class while making it easier for everyone, from institutional investors to the residents in our buildings, to participate in ownership. Our property technology platform uses AI to bring new efficiencies to the small unit count multifamily sector, enabling us to efficiently acquire, upgrade, and operate these 2-20 unit multifamily buildings and bring institutional performance to this massive but historically overlooked sector. Our investor technology platform makes owning these assets accessible to a broad array of investors, with bespoke vehicles available to institutional and family office investors and our flagship vehicle, the blockchain-powered GromaREIT, available to everyone, with a special focus on enabling ownership for the residents in our buildings. Visit www.groma.com to learn more about us.

About the Role

This senior-level role will join a small team of software engineers that build the digital infrastructure and products that power the company. We're looking for someone that has hands-on experience building, deploying, and maintaining smart contracts in a production environment on EVM networks (Ethereum and Base), as well as experience working with a variety of token standards. Specific nice-to-haves include experience with RWAs/real estate, representing securities with compliance constraints on-chain (e.g. ERC-3643), and DeFi protocols like Uniswap.

While we're looking for an engineer with this background, please note that we also expect all engineers to be willing and able to contribute across our entire technology stack. The primary products that you'll be working on include:

• Tools that are designed to make managing our large and growing real estate portfolio highly efficient. These are tools that we use to address the tactical challenges that arise from managing distributed real estate assets as efficiently as possible while still ensuring the best possible resident experience. We use many standard technology solutions, but also IoT smart home technology and AI to solve and optimize many of our resident and maintenance tasks.
• Products that enable investors to initiate and manage their investments into Groma’s real estate funds. A primary goal of Groma is to make real estate work better for everyone. This means not only owning and managing it well, but also expanding ownership opportunities, with audiences ranging from institutional investors to the residents in our buildings.
• Infrastructure to express Groma’s property assets, investor share holdings, and REIT operations on Ethereum and other networks. Blockchain is a powerful tool for us to increase transparency, investor access, and, over time, unlock new functionality to enable our holders to get the most possible value out of owning real estate.

The most important traits for someone joining the team will be:

• Startup interest. We’re an early stage company and still have a lot left to figure out. There will be lots of ups and down, we don’t yet have all of the answers yet and you’ll be a part of finding them. 
• Product mindset. As a startup, we need to be fast to identify and solve problems across the business. We do not have a product team, so we expect engineers to be comfortable working directly with stakeholders throughout the business to understand their needs and build pragmatic solutions to them.
• Technical breadth. As a small team, it’s highly valuable for each member to be able to operate across the entirety of our technology stack. This means being willing and able to work on backend and frontend development, our blockchain infrastructure, or occasionally even some spreadsheet hacking.
• Desire to move fast. As an engineering team, we care about building reliable, secure, and easily-maintainable systems, but also recognize the need to move very quickly as we operate within a fast-moving startup. This means finding the right balance between quality and delivery speed.

The core technologies that the team uses are:

• Languages: Python, TypeScript, Solidity
• Frameworks: Django, React
• Infrastructure: Google Cloud, Postgres, Ethereum

This is a role for someone that can quickly ramp up to execute independently and effectively across the range of technologies described above. You do not need to be an expert in everything mentioned, but should be very comfortable building web applications in Django or a comparable framework and at least interested in learning the rest.

About our Culture

At Groma, we’re looking to build something big and are on a fast growth trajectory. A healthy work-life balance is important to our team, but we also expect a high degree of commitment from every team member. We strive to respect individuals and their needs, while also acknowledging the reality that we have a small team that is trying to accomplish some very ambitious goals in a short period of time.

We are also focused on maintaining our dynamic in-office culture at Groma’s headquarters in beautiful downtown Boston, Massachusetts. We believe that in-person collaboration and spontaneous interpersonal interaction is critical to the company’s success at this stage. Also, our office is great. We own the whole building and have made it very much our own space. We’ve got a gym, locker rooms, a game room, a rooftop garden, and all the normal stuff to make an office an effective and fun place to be. We understand that everyone will occasionally need flexibility, but want to be explicit that this is a fully in-person role.

We have an ever-evolving list of values and conventions that guide how we operate as a company, but here are some of our core ones:

• We approach our work with pragmatic idealism that enables us to focus on our desire to make the world a better place in ways big and small while also being open to intelligent compromises that accelerate us on our path to serve our broader societal goals.
• Our whole team believes strongly that the challenges we are trying to solve require effective teams, not individual heroes.
• We have complex conversations well. We sit at the intersection of housing and blockchain policy, both nuanced topics with real world impacts. We pride ourselves on being thoughtful, seeking the best solutions to real world challenges, and implementing them effectively in the real world.

Disclaimers

While we think that this role is an amazing opportunity for the right candidate, we also want to be upfront about some of the reasons that it might not be a fit for you:

• You want to work in a partially or fully remote environment. We take great care to enable flexibility for team members, but our default will always be to be in office together.
• You just want to write code and are less interested in learning about the business. We expect engineers to spend lots of time with stakeholders figuring out what the right problems are to solve (i.e. doing "product" work), then building the solutions to them.
• Job titles are important to you or you're looking for a quick pathway into engineering management. We're a small, very flat organization and intend to keep it that way for the foreseeable future. That said, there are many other types of leadership opportunities available.
• You want a highly predictable job. We're a startup and there have been and will continue to be lots of twists and turns in our story - we change direction quickly and throw a lot of things against the wall to see what sticks.

Job Benefits

• Competitive salary for the Boston area
• Early stage equity
• 5% 401k match
• 100% employer-paid premiums for high-quality health, dental, and vision insurance plans
• Fully covered commuter passes for bus, subway, boat, or commuter rail
• Unlimited PTO
• 13 official company holidays
• 1 floating holiday: We recognize that there are lots of holidays that are meaningful to different people in different ways and we want to celebrate that by enabling team members to have the time/space to commemorate those days however is appropriate, and using it as an opportunity - if they’d like to - to share the meaning of that day with the broader team
• A beautiful office in downtown Boston with a gym, locker rooms, game room, rooftop garden, and at least one catered lunch and breakfast per week