Startups · AI

Product Manager, Growth, Scientific AI Models

Benchling · San Francisco, CA · On-site

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About Benchling

Backed by Y Combinator, a16z and ICONIQ.

About the role

The Model Hub team is building a computational platform that provides access to cutting-edge scientific AI models to help scientists design better drugs. Scientific models (e.g. AlphaFold or Boltz2) predict structures, predict scientific properties, and generate new drug designs, acting as a design partner and a major time saver to scientists who are creating life-saving therapeutics.

What they're looking for

  • 5+ years of product management experience building technical or platform products, ideally in scientific, ML/AI, or other data-intensive domains
  • Technical fluency: you can read API specs, reason about system tradeoffs, and have credible conversations with engineers about how scientific models are built and served
  • Strong analytical skills, comfortable using data to drive product decisions and to measure and grow adoption and usage
  • Collaborative mindset, able to work closely with engineers, scientists, and partners across legal, strategy, and GTM to bring new ideas to life
  • Desire to work in a fast-paced environment, where priorities can shift and rapid experimentation is encouraged
More about this 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...

Read the full posting on Benchling's site ↗

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