About the role
We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done. Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma. We’re building an AI scientist for our customers. We can’t do that if we haven’t built the muscle ourselves. AI fluency is the foundation we build on; it's core to
how we work, and we're committed to helping every new hire integrate it into their day-to-day. As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today. ROLE OVERVIEW We're looking for a product manager who thinks like a developer advocate and acts like a platform strategist. This role sits at the intersection of systems integration and developer experience and as AI transforms how scientists work, the stakes have never been higher. The world's most innovative life sciences teams are already building agentic R&D workflows on top of Benchling, and they need a platform that can keep up. Your job is to understand what they're building, identify the gaps before they become blockers, and make the case internally for what needs to get built next. You'll own the developer platform roadmap, serve as the internal voice of the external developer, and ensure that customer and partner learnings shape priorities across the Build org. This is a role for someone who is always six months ahead, anticipating what cutting-edge life sciences teams will need to build next, and making sure Benchling is ready when they get there.
