Product Manager, AI-Driven Biotech Workflows

Benchling

San Francisco (CA)

Hybrid

USD 163,000 - 221,000

Full time

14 days+

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Job summary

Benchling seeks a Product Manager to own the Recipes, Assays, and Workflows roadmap, guiding prioritization and outcomes for biotech R&D software. You will work with customers, GTM, design, and engineering to translate insights into product direction and shipped features.

You will use SQL, AI, and prototyping to inform decisions, balance speed and quality, and drive adoption across science teams on the Bioprocess platform. This role embraces a systems-thinking mindset and diverse backgrounds.

Qualifications

  • 3–5+ years of product management or equivalent experience.
  • Diverse career history across 2-3 domains shows systems thinking.
  • Strong product taste; ability to translate user needs into features.
  • Architectural fluency to reason about data models and state machines.
  • Technical tool competency with data, prototyping, or shipping enhancements.
  • Clear communication; adapt style to audience and drive alignment.
  • Track record of outcomes; evidence of impact in prior roles.
  • Intellectual curiosity; willingness to explore and learn.

Responsibilities

  • Own the roadmap for Recipes, Assays, and Workflows and decide priorities.
  • Engage with customers and GTM teams to translate needs into direction.
  • Collaborate with design, engineering, GTM, and customers to ship products.
  • Leverage SQL, AI, and dev tools to answer questions or prototype ideas.

Skills

Product management
Cross-domain experience
Product sense
Architectural fluency
SQL / data skills
Communication
Outcome-driven
Curiosity

Tools

Cursor
SQL
Design tools

Job description

Benchling seeks a Product Manager to own the Recipes, Assays, and Workflows roadmap, guiding prioritization and outcomes for biotech R&D software. You will work with customers, GTM, design, and engineering to translate insights into product direction and shipped features.

You will use SQL, AI, and prototyping to inform decisions, balance speed and quality, and drive adoption across science teams on the Bioprocess platform. This role embraces a systems-thinking mindset and diverse backgrounds.

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