Location: Boston, MA
Klaviyo operates a real-time data analytics platform coded primarily in Python that is built for massive scale and hosted on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines.
The Internal Experimentation team is responsible for building and maintaining our internal experimentation platform in Klaviyo. The platform supports experiment tracking, feature rollout, AB tests, multivariable tests and other forms of experimentation to enable rapid feature development and machine learning model iteration. The team works closely with internal stakeholders to gather requirements and design the systems needed to experiment with billions of data points. The team is full stack and we work with front-end, back-end and big data systems to build the necessary infrastructure required to ensure robust experimentation capabilities and data driven feature and algorithm development.
We are looking for a senior software engineer to evaluate, design and build out the internal experimentation platform. You can expect to be deeply involved in the technical discussions on how we architect a novel system to support experimentation for our internal stakeholders in the Klaviyo application. You will have ownership of projects that contribute to the team's mission, goals, and roadmap. You will also closely collaborate with analysts, data scientists and data engineers to define best practices for experiments that are statistically rigorous. Your tech stack will include Python, Typescript, React, AWS, Kubernetes, Django, Pandas, NumPy and Spark.
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