Product Manager, Growth, Scientific AI Models

Benchling • San Francisco, CA

4d • $163,000 - $221,000 • Onsite

About The Position

Benchling is seeking a Product Manager, Growth, Scientific AI Models to join their Model Hub team. This role focuses on building a computational platform that provides access to cutting-edge scientific AI models to aid scientists in drug design. The product manager will own the product execution of scientific AI models and features, driving customer adoption and usage. This is a highly cross-functional role requiring close collaboration with engineering, legal, strategy, and sales/GTM teams. The position involves understanding customer needs through direct interaction and translating them into product definitions and execution. The role operates in an early-stage environment for scientific AI, emphasizing rapid iteration, customer focus, and adaptability.

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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed