Product Manager, Scientific AI Models

ROLE OVERVIEW

The Model Hub team is building a computational platform that provides access to cutting-edge scientific AI models to help scientists and agents 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.

As the product manager on the team, you'll own the product execution of our scientific AI models products and features, including Model Hub, and drive how customers adopt and grow their usage of these models. You'll split your time between talking with customers to understand their needs and gather feedback, and managing product definition and execution to bring the products they want to life. This is a highly cross-functional role: you'll partner closely with engineering, legal, strategy, and sales/GTM to get cutting-edge scientific AI into the hands of the scientists who need it.

It's early days for scientific AI models, both at Benchling and in the industry at large. We'll rapidly iterate with customers and change directions quickly, figuring out new patterns for how we develop and go to market. We'll win if we stay curious and obsess over our customers.

RESPONSIBILITIES

• Own the product roadmap for our scientific model platform — defining and prioritizing the models, features, and capabilities that let scientists run inference fast, reliably, and cost-effectively across a diverse set of scientific models.

• Define intuitive and beautiful product experiences across our UI, API, and MCP that let computational users execute high-throughput runs and analyze their results, translating customer needs into clear requirements for engineering.

• Work directly with customers to ideate use cases, gather feedback, and grow adoption and usage of our scientific AI models across scientific teams.

• Help shape how we build AI at Benchling — driving experimentation, contributing to product and technical direction, and helping evolve our product development and go-to-market practices as the field matures.

QUALIFICATIONS

• 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.

• Experience with scientific models is strongly preferred.

HOW WE WORK

This is an in-person team in San Francisco built around collaborating in the office in a fast-paced environment. We’re in the office Monday through Friday.

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