Product Manager, Study Lifecycle

Benchling is the AI platform for biotech R&D, helping over 200,000 scientists design experiments, capture structured data, and run AI agents and models directly in their workflows. Trusted by academic labs and companies like Sanofi and Moderna, Benchling is rebuilding biotech for the AI era.

As a Product Manager on the Study Lifecycle team, you will work on products such as Studies, Sample Testing, and Process Development that scientists use to organize, plan, and connect experimental work across drug development phases. You will be at the intersection of experimental planning, execution data, and analysis, deciding how a single study ties them together around a scientific question. You will make powerful software intuitive for scientists and dependable for teams integrating via APIs.

• Own the roadmap and outcomes for Studies, Sample Testing, and Process Development.
• Spend time with customers and GTM teams to understand how scientists work and turn requests into product direction.
• Work alongside design, engineering, GTM, and customers to build and ship products.
• Use tools like SQL, AI, and developer environments to pull data, build prototypes, and summarize customer discovery notes.

• 5-7+ years of product management or equivalent experience.
• Diverse career history across 2-3+ meaningfully different domains or product types.
• Product taste with a track record of building and improving products.
• Architectural fluency: ability to reason about data models, state machines, or schema design.
• Technical tool competency: using SQL, design tools, or tools like Cursor to get work done.
• Clear communication and ability to adapt style to audience.
• Track record of outcomes and intellectual range.

• Experience in regulated or compliance-heavy industries.
• Configuration-heavy, platform-style products.
• B2B SaaS in growth/scaling stage.
• Prior life as an engineer, data scientist, or solutions consultant.

Salary range: $196K – $265K USD. Benchling offers a flexible hybrid work arrangement.

Apply via the provided link. As part of the interview process, you'll complete a brief AI-focused exercise or discussion.