# Product Manager, Growth, Scientific AI Models

**Company:** [Benchling](https://hotfix.jobs/companies/benchling)
**Location:** San Francisco, CA
**Role:** Product Management
**Salary:** $163k – $221k/yr
**Experience:** 5+ years
**Skills:** Product Management, Scientific Ai Models, Machine Learning, API Design, Data Analysis, Roadmapping, Customer Discovery, Technical Fluency
**Posted:** 2026-07-07

> Product Manager owning the roadmap, features, and customer adoption for Benchling's scientific AI model platform (Model Hub). Drive product execution for UI/API experiences that help scientists run and analyze AI models for drug design. Requires 5+ years PM experience in technical/ML/AI domains, strong technical fluency, and analytical skills.

## Job Description

## 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.

## Requirements
- 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.

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