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

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.

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

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: Staff Software Engineer (AI) 
Locations: Boston, MA; Houston, TX; (ET preferred)
Reports to: VP, AI Engineering  

A quick snapshot… 
As a Staff Software Engineer, you’ll be a key technical leader responsible for shaping the design and development of scalable, reliable, and innovative AI/GenAI solutions. You’ll lead high-priority projects, set technical directions for teams, and ensure alignment with organizational goals. You’ll operate with a high degree of technical expertise, strategic thinking, effective collaboration across diverse teams, while mentoring and elevating others to meet a very high technical bar.   

Why it’s a big deal…  
You’ll be a strategic technical leader to define and drive the technical vision and roadmap for Conga’s AI/GenAI systems, aligning with company objectives and future growth. You’ll have the opportunity to provide architectural leadership for complex, large-scale AI systems, and act as a thought leader in AI technologies, influencing cross-functional technical decisions and long-term strategies. You’ll have ownership of high-impact projects, shaping the future of Conga’s products while mentoring engineers, fostering a culture of continuous learning and technical excellence.

Here’s what we’re looking for… 

Related experience. You have 10+ years of professional software development experience, including 5+ years in AI/ML or GenAI. You have a proven track record of designing and deploying scalable, production-grade AI solutions. You’ve led complex technical initiatives that required influencing cross-functional teams while mentoring teammates, navigating change, and creating space for collaboration and growth.  

Technical expertise. You have:  

• Deep expertise in Python and frameworks such as TensorFlow, PyTorch, FastAPI, LangChain, LangGraph, and KubeFlow.  

• Advanced knowledge of AI/ML algorithms, generative models, and LLMs. 

• Proficiency with cloud platforms (e.g., GCP, AWS, Azure) and modern DevOps practices. 

• Strong understanding of distributed systems, microservices architecture, and database systems (SQL/NoSQL). 

Analytical thinker and creative problem solver. You utilize your expertise to navigate ambiguity and deliver impactful solutions. You’re skilled in identifying creative solutions to unique customer requirements, ensuring our customer issues are resolved in a manner that meets or exceeds their expectations without increasing their costs.   

Strong communication and interpersonal skills. You’re skilled at reading and adapting to different communication styles. You communicate priorities, trade-offs, and goals clearly, that engages and inspires both technical and non-technical stakeholders. 

Education. You’ve completed your Bachelor’s and Master’s degree in Computer Science, Engineering, or a related technical field. Maybe you’ve even gone on to obtain your Ph.D.  

Here’s what will give you an edge… 

Additional expertise. You’ve had the opportunity to lead the development of generative AI solutions, leveraging advanced techniques such as multi-modal models, reinforcement learning, and responsible AI principles. You’ve gained advanced knowledge of GCP technologies such as VertexAI, BigQuery, GKE, and DataFlow. You also have familiarity with agile methodologies and working in a DevOps model. 

Thought Leadership. You’re passionate about the AI/ML space. You’re a thought leader for the AI/ML community, contributing ideas through publications, open-source projects, and/or speaking engagements. 

#LI-BR1

Job Title: Senior Software Engineer
Locations: Houston, TX; Boston, MA  
Reports to: Manager, Software Engineering 

 A quick snapshot… 

As a Senior Software Engineer, you’ll be a key member in a team responsible for the development of scalable, reliable, and innovative AI/GenAI solutions. You’ll contribute to high-priority projects, ensuring maintainable code and producing high-quality, production-ready applications. You’ll operate with a high degree of technical expertise, strategic thinking, effective collaboration across diverse teams, while helping to mentor and elevate others to meet a very high technical bar.    

Why it’s a big deal…   

You will be a key contributor to delivering Conga’s AI roadmap, ensuring solutions meet high quality standards and timelines. You’ll be a core member of the team that will implement complex, large-scale AI systems. You’ll also have the opportunity to work cross-functionally to resolve issues, mentor junior members, and help to foster a culture of continuous learning and technical excellence. All of this adds up to an exciting, challenging, and always interesting place to work, where complex problems are found and solved every day. 

Here's what we’re looking for… 

Related Experience. You have 7+ years of professional software development experience, including 3+ years in AI/ML or GenAI. You have a proven track record of developing and deploying scalable, production-grade AI solutions.  

Technical expertise. You have:   

• Experience in Python and frameworks such as TensorFlow, PyTorch, FastAPI, LangChain, LangGraph, and KubeFlow.   
• Knowledge of AI/ML algorithms, generative models, and LLMs.  
• Proficiency with cloud platforms (e.g., GCP, AWS, Azure) and modern DevOps practices.  
• Strong understanding of distributed systems, microservices architecture, and database systems (SQL/NoSQL).  

  Education. A bachelor’s degree in engineering or equivalent. 

 Here’s what will give you an edge… 

Effective communication and interpersonal skills. You’re comfortable initiating and engaging in collaborative discussions. You are skilled at reading and adapting to different communication styles. When you speak, you are clear and concise. Your strong listening skills help to build trust and foster connections with our clients. They also ensure you collect the right information so you can resolve issues most expediently. 

Initiative. You do not wait around for things to happen or for someone to tell you what to do. You are not only proactive about completing your own work, but when you sense the need to introduce a project that will benefit the team or the organization -- even if it’s outside your scope of work -- you put a proposal together, talk to the team about it, and own it. And that also goes back to having an entrepreneurial spirit. 

Passionate Problem Solver. Proactive, self-driven, and enjoys solving complex problems, not just in the primary area of responsibility but across boundaries. Identify and implement best practices for coding as well as development processes and perform as a trusted contributor requiring little to no supervision and demonstrating the ability to meet deadlines, exceed goals, and create benchmarks for success. 

#LI-BR1

Role: Senior Software Engineer 
Reports to: Sr. Manager, Software Engineering 
Location: Houston, TX; Boston, MA; 

A quick snapshot…
As a Senior Software Engineer at Conga, you will be a key contributor to the design, development, and deployment of advanced AI and generative AI-based products. You will drive technical innovation, lead complex projects, and collaborate closely with cross-functional teams to deliver high-quality, scalable, and maintainable solutions. This role requires a strong background in software development, AI/ML techniques, and DevOps practices, along with the ability to mentor junior engineers and contribute to strategic technical decisions.

Why it’s a big deal…
As a Senior Software Engineer, you will play a critical role in shaping the future of Conga’s AI-powered product portfolio. You’ll lead the development of scalable, production-grade solutions that bring generative AI capabilities to life, while influencing architecture, engineering best practices, and delivery execution. Your work will directly impact product innovation, platform reliability, and the ability of our teams to build intelligent, high-performing solutions at scale.

Are you the person we’re looking for?   

Related experience.

At least 6 years of professional software development experience, including significant experience building AI/ML or generative AI applications. Demonstrated success developing scalable, production-grade software solutions and leading complex technical initiatives from design through deployment.

Technical Expertise:

• Advanced proficiency in Python, FastAPI, PyTest, Celery, and other Python frameworks
• Deep understanding of software design patterns, object-oriented programming, and concurrency
• Strong experience with cloud technologies such as GCP, AWS, or Azure
• Experience with containerization and orchestration tools such as Docker and Kubernetes
• Familiarity with CI/CD practices, version control systems such as GitHub, and work tracking tools such as JIRA
• Knowledge of generative AI frameworks such as LangChain and LangGraph, along with MLOps and AI lifecycle management
• Experience deploying and monitoring AI models in cloud environments
• Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master’s degree preferred

Education: A bachelor’s degree in Computer Science, Engineering or equivalent 

Here’s what will give you an edge… 

• Hands-on experience with advanced machine learning algorithms, including generative models, NLP, and transformers
• Knowledge of industry-standard AI frameworks such as TensorFlow and PyTorch
• Experience with data preprocessing, model evaluation, and AI model optimization
• Proficiency with relational and NoSQL databases such as MongoDB, MSSQL, and PostgreSQL
• Experience with analytics platforms such as BigQuery, Snowflake, or Tableau
• Familiarity with messaging systems such as Kafka
• Experience with test automation tools and CI/CD tooling, including Terraform and GitHub Actions
• Advanced knowledge of GCP technologies such as Vertex AI, BigQuery, GKE, GCS, and Dataflow, particularly for deploying AI models at scale 

Responsibilities:

• Design, develop, and optimize high-quality code for complex software applications and systems, maintaining high standards of performance, scalability, and maintainability
• Lead end-to-end development of generative AI solutions, from data collection and model training to deployment and optimization
• Experiment with cutting-edge generative AI techniques to enhance product capabilities and performance
• Take ownership of architecture and technical decisions for AI/ML projects
• Mentor junior engineers, review code for adherence to best practices, and promote technical excellence across the team
• Lead execution and delivery of features, managing project scope, timelines, and priorities in collaboration with product managers
• Proactively identify and mitigate risks to support successful, on-time delivery
• Contribute to architectural design and planning for new features, ensuring solutions are scalable, reliable, and maintainable
• Conduct rigorous code reviews and provide actionable feedback that supports team growth and software quality
• Design and implement robust test suites to ensure code quality and system reliability
• Advocate for test automation and CI/CD pipelines to streamline testing and maintain service health
• Monitor and maintain the health of deployed services using telemetry and performance indicators
• Perform root cause analysis for incidents and drive preventive measures to improve system reliability
• Operate in a DevOps model, taking end-to-end ownership of features and services in production
• Create and maintain thorough documentation for code, processes, and technical decisions
• Contribute to knowledge sharing and continuous improvement across the engineering organization

#LI-BR1

Job Title: Software Engineer
Locations: Houston, TX; Boston, MA  
Reports to: Manager, Software Engineering 

 A quick snapshot…
We are seeking a talented and motivated Software Engineer to join our engineering team and contribute to the development of next-generation AI and Generative AI–powered products and solutions. In this role, you will work on cutting-edge SaaS technologies and help build scalable software used by enterprises worldwide. You will contribute to the design, development, testing, deployment, and maintenance of software systems while collaborating with cross-functional teams to deliver reliable and innovative product capabilities.

Why it’s a big deal…  
As a Software Engineer, you will contribute to the development of Conga’s AI-powered platform by helping build scalable applications and services that support intelligent automation and advanced analytics for global customers. 

Here's what we’re looking for… 

Related Experience. 

Software Development. Write clean, maintainable, and efficient code for software applications and distributed systems while adhering to engineering best practices.

GenAI Product Development. Participate in the AI development lifecycle including data preparation, model experimentation, evaluation, and deployment of generative AI solutions.

Technical Contribution. Collaborate with engineering teams to develop and enhance software features that meet performance, scalability, and reliability requirements.

Feature Delivery. Work closely with product managers and engineering teams to deliver features and improvements on schedule while maintaining high quality standards.

Architectural Participation. Contribute to technical design discussions and architecture reviews to ensure solutions are scalable, reliable, and maintainable.

Code Review. Participate in peer code reviews and maintain a high standard of technical quality across the engineering team.

Testing & Quality. Develop testable software, write unit tests, and participate in automated testing processes using modern testing tools and frameworks.

Service Health & Reliability. Monitor service performance and assist in troubleshooting issues. Participate in root cause analysis and improvements to enhance system reliability.

DevOps Collaboration. Work within a DevOps model to help deploy, monitor, and maintain applications in production environments.

Documentation. Document features, enhancements, and fixes while contributing to knowledge sharing and internal documentation.

Education. A bachelor’s degree in engineering or equivalent. 

• Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent practical experience)
• 4+ years of professional software development experience
• Strong proficiency in Python and modern Python frameworks
• Experience with FastAPI, PyTest, Celery, or similar technologies
• Familiarity with software development practices, version control systems such as GitHub, and work tracking tools such as JIRA
• Understanding of cloud technologies and DevOps principles

Here’s what will give you an edge… 

• Experience with object-oriented programming, concurrency, and REST APIs
• Familiarity with AI/ML, Generative AI, and MLOps concepts
• Experience with LangChain, LangGraph, or similar AI frameworks
• Experience working with SQL and NoSQL databases such as MongoDB, MSSQL, or PostgreSQL
• Experience with CI/CD pipelines and tools such as Terraform and GitHub Actions
• Experience with Docker and Kubernetes
• Familiarity with GCP technologies such as VertexAI, BigQuery, GKE, GCS, and DataFlow
• Experience with additional languages such as C#, Java, or Scala is a plus

#LI-BR1

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

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

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

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

The Opportunity at Altana

The Engineering team is responsible for building out the platforms, API’s, services, workflows, and logical architectures for bringing this vision to life.  We are creating a platform fundamentally driven by AI, which scales to a massive trove of data, and a diverse customer base; it is a complex system that will stretch engineering in many directions.  You’ll work closely with our Data Scientists on projects to analyze and observe world-scale datasets, write code that can scale to produce never-before-seen insights, and construct APIs to deliver our product vision.

Your Responsibilities 

• Ingest product requirements, define technical requirements, and design practical, iterative technology designs that achieve our product and technical goals.
• Work with your product manager to develop implementation plans against our technical product roadmaps.
• Personally maintain, develop, and deploy our customer facing workflows to create and  support our overall product architecture.
• Analyze and propose technical solutions to invent, enable, and enhance our product offerings.
• Be responsible for automating, testing, and deploying your own and your team’s work.
• Review the code and technical designs authored by your team members, and hold a high bar for quality.
• Mentor developers and help them level up their skills.
• Be responsible for the technical excellence of day-to-day work of a team of engineers and ensure that the team’s deliverables are maturing along the defined roadmap.
• Drive technical decision-making and problem-solving across the team, ensuring solutions are efficient, scalable, and maintainable.
• Identify technical and operational gaps for the team and create plans and work items to address them.
• Serve as the domain expert for a portion of the product surface area, while holding a firm technical understanding for other areas as well.
• Cooperate with team leads and managers in order to keep the team focused on outcomes while delivering sustainable and consistent code.

About You

• BS or MS degree in Computer Science, or equivalent experience.
• 12+ years of real-world professional experience writing back end or data-driven software in demanding environments.
• You’ve deployed production code and services to cloud-hosted environments.
• You have demonstrated experience delivering incremental releases from proof-of-concept to MVP to production.
• Self-starter with demonstrated experience working on large, complex problems.
• You care deeply about engineering excellence, clean code, and knowledge-sharing.
• You have experience with taking over codebases and making them your own, carrying forward with new feature development.
• You are a master of prioritizing and picking your area of focus intentionally
• You have strong written and verbal communication skills.
• Experience leading other engineers on complex projects.

Nice to have, but not required

• Experience with container technologies like Docker and Kubernetes
• Experience using workflow orchestration technologies like Temporal

 Technologies we love to use at Altana

• Languages: Python, TypeScript, SQL
• Tools: Docker, Git, Kubernetes, FastAPI, AWS/Azure, MLFlow, Temporal
• Datastores: Postgres, Databricks and OpenSearch

This role can fully remote or it can be based in any of our Altana hub locations, with hybrid work flexibility: New York City, Boston, MA, Washington D.C., San Francisco, CA, 

US Salary Range and Benefits

$225,000 - $265,000 USD

The salary range, to the extent specified for this role, is a good faith statement of the minimum and maximum levels of the annual based salary for the position.  The base salary offered to a successful candidate will depend on a wide range of compensation factors, including, but not limited to, work experience, education and/or training, critical skills, and/or business considerations. Competitive equity grants are included in the majority of full time offers; and are considered part of Altana's total compensation package. Altana also offers either a discretionary bonus or a variable compensation plan depending on the role. Additionally, Altana offers top-tier benefits for full-time employees, including:

• Flexible Time Off: Altana operates with a Flexible Time Off (FTO) policy that gives you agency over your own time off so you can maximize your work-life balance.
• Parental Leave: We offer industry leading Paid Parental Leave (PPL), providing 14 weeks of leave for non-birthing, adoptive, and foster parents and up to 26 weeks of leave for birthing parents, all paid at 100% of your base salary.
• Health Benefits: We have a full suite of medical, vision, and dental benefits with generous employer contributions, designed to give you flexibility and choice for your individual health situation. Our high deductible health plan is 100% employer paid for employees and supplemented with an employer contribution to your Health Savings Account (HSA). There is also a Flexible Spending Account (FSA) option.
• Supplemental Benefits: Altana provides life, short- and long-term disability, and AD&D insurance coverage, all at no cost to you, so you know that you and your loved ones are covered in case of an emergency.
• 401(k) Savings: Save for and invest in your future using our Guideline 401(k) retirement savings program.
• Commuter Benefits: Save money on your commute by setting aside pre-tax funds for public transit or parking!
• Wellness: Because we value mental and emotional health, every Altana employee has access to a free premium subscription to Calm, the #1 app for meditation, sleep, and mindfulness.
• Pet Insurance: Pets are family too! Keep them healthy with Wishbone insurance and / or our Total Pet vet service and telehealth discount plan.
• Employee Assistance Program: Free access to confidential personal support.
• Dependent Care FSA: You will have access to a Dependent Care FSA, which allows you to set aside pre-tax funds for childcare expenses

The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.