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BenchlingBenchlingSan Francisco, CA

Product Manager, Growth, Scientific AI Models

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.

163k – 221k
On-site5+ YOEProduct Management

About the role

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.

Skills

Product ManagementScientific Ai ModelsMachine LearningAPI DesignData AnalysisRoadmappingCustomer DiscoveryTechnical Fluency
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