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 youre a close but not exact match with the description we hope youll still consider applying. Want to learn more about life at Klaviyo Visit see how we empower creators to own their own destiny.

SWE II Advanced Reporting (Boston MA Hybrid)

At Klaviyo we value the unique backgrounds experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If youre a close but not exact match with the description we hope youll still consider applying. Want to learn more about life at Klaviyo Visit 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 Klaviyos 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. Youll 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. Youll 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