Senior Software Engineer, Experimentation Interfaces

The Experimentation team’s mission is to provide an insightful, reliable and easy to use experimentation platform (A/B testing and feature rollout) for customers across the company. Thousands of experiments run on our platform each year. Our team is multidisciplinary, owning UIs for setting up and analyzing experiments, data pipelines and libraries for calculating results, and clients for assignment and delivery. You will work closely with design and data science partners and with the engineers and analysts across the company who use our tools every day.

The Difference You Will Make

You will co-own the web application where teams set up, manage and analyze experiments and feature configuration, and the AI-assisted workflows that are becoming part of how experiments are designed, validated and read out. You will build features end to end, from the React/TypeScript interface through Python APIs to the data layer, and make our tools intuitive and trustworthy for users with a wide range of statistical backgrounds. Success looks like features that measurably speed up experiment setup and readout, and AI-enabled tools that people adopt because they are reliable.

A Typical Day

• Develop new features across the client (React/TypeScript), APIs (Python/GraphQL) and database, and own them from design through on-call.
• Work with design and key customers to shape intuitive experiences, including how to visualize experiment results so users with minimal statistical training draw good conclusions.
• Build AI-enabled workflows for our users, such as agent tools and skills that help create, validate and analyze experiments, and the interface around them, with evaluations that keep quality high.
• Use AI-assisted development to move faster, and help the team set good practice for it.
• Work with data science partners to bring new methodology into the product.
• Participate in experiment reviews to understand how customers use the platform and where it falls short.

• 5+ years in a hands-on software engineering role, shipping high-quality code to production, including full-stack web applications on a modern stack.
• Strong front-end skills: React and TypeScript fundamentals, state and data fetching, performance and testing, and a good eye for intuitive interfaces in data-rich or enterprise tools.
• Experience across the stack: backend APIs in Python or a similar language, GraphQL or comparable API design, and relational database storage.
• Hands-on experience with AI: you build with LLMs or agent tooling (tools, skills, evaluations), or you are fluent with AI-assisted development and know how to verify what it produces.
• Experience working directly with customers and design to turn ambiguous needs into shipped, well-designed features, with clear communication.
• [Bonus] Experience with data visualization or data-intensive applications.
• [Bonus] Experience with experimentation platforms.

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