Software Engineer, AI Growth

Responsibilities

• 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.

Qualifications

• 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).