Build end-to-end product experiences that drive adoption of scientific AI, from onboarding flows to in-product discovery, education, and feedback loops.
Work directly with customers to understand use cases, gather feedback, and onboard scientific teams.
Experiment rapidly, designing and running A/B tests, instrumentation, and data analyses to identify the biggest levers for user activation and retention.
Continuously improve our growth platform, developing frameworks and tooling that make it easier to test, measure, and scale successful experiments.
Shape how we build AI at Benchling, evolving our engineering and product development practices to define what great AI adoption looks like in the scientific world.

Requirements

5+ years of experience building delightful, consumer-grade products, ideally at a company where growth and experimentation were core to the strategy.
Full-stack engineering skills, with experience in modern frontend frameworks (React or equivalent) and backend languages (Python or similar).
Strong product and growth intuition, with the ability to iterate quickly and refine solutions based on user feedback and data.
Experience with instrumentation and analytics, including defining success metrics, implementing event tracking, and using data to drive decisions.
Desire to work in a fast-paced environment, forming hypotheses, testing ideas quickly, and scaling the ones that work.
Interest in learning about biotechnology and AI (no prior knowledge required, just a willingness to learn and adapt).

Benefits

Full-time U.S. employees enjoy a comprehensive benefits program including equity, health, dental, vision, 401(k)+ employer match, wellness, commuter, and more.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

full-stack engineeringfrontend frameworksReactbackend languagesPythonA/B testingdata analysisevent trackinginstrumentationsuccess metrics

Soft Skills

product intuitiongrowth intuitioniterationuser feedbackadaptabilityhypothesis formationquick testingscaling solutionscustomer understandingcommunication