# Product Manager, Scientific Development Solutions

**Company:** [Benchling](https://hotfix.jobs/companies/benchling)
**Location:** San Francisco, CA
**Role:** Product Management
**Salary:** $163k – $221k/yr
**Experience:** 3+ years
**Skills:** Product Management, SQL, Data Modeling, state machines, schema design, AI Tools, Prototyping, B2B SaaS
**Posted:** 2026-07-22

> Product Manager owning Recipes, Assays, and Workflows for Benchling's biotech R&D platform. Drive roadmap by translating customer scientific needs into intuitive, configurable products that accelerate drug development. Requires diverse PM experience, architectural fluency, product taste, and tool proficiency; life sciences background not needed.

## Job Description

## Responsibilities
- Own the roadmap and outcomes for Recipes, Assays, and Workflows products used by scientists in drug development.
- Spend time with customers and GTM teams to understand scientific workflows and translate needs into product direction.
- Collaborate with design, engineering, GTM, and customers to build, ship, validate, enable, and market products.
- Use tools like SQL, AI, and developer environments to pull data, prototype, summarize notes, and move quickly.

## Qualifications
- 3-5+ years of product management or equivalent experience.
- Diverse career history across 2-3+ meaningfully different domains or product types (strongest signal).
- Strong product taste with track record of building products that drive user behavior change.
- Architectural fluency to guide data models, state machines, schema design, and technical decisions impacting UX and extensibility.
- Technical tool competency; resourceful with SQL, design tools, AI (e.g. Cursor) for data-driven decisions and prototypes.
- Clear communication skills to lead conversations, adapt style, and engage audiences.
- Track record of outcomes with evidence of impact from key roles.
- Intellectual curiosity applied to learning and problem-solving.

## Nice-to-Haves (Bonus)
- Experience in regulated or compliance-heavy industries.
- Background with configuration-heavy, platform-style products.
- B2B SaaS experience in growth/scaling stage.
- Prior experience as an engineer, data scientist, or solutions consultant.

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