Product Manager, Growth, Scientific AI Models

Benchling; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Benchling, an AI platform for biotech R&D, is seeking a Senior Product Manager for our Model Hub team in San Francisco. You will own the roadmap for a computational platform providing access to cutting‑edge scientific AI models to help scientists design better drugs.

You will collaborate with engineers and scientists, translate customer needs into requirements, and shape product direction, experimentation, and GTM 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: 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.

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 UI and API 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.

Skills

Product management

Data-driven decisions

Analytical thinking

Collaboration

Customer focus

Job description

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

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.

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 UI and API 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.

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.

#EN-1

Benchling welcomes everyone.

We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences.

We are an equal opportunity employer. That means we don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.