Benchling builds cloud software for scientific research and development in the life sciences. Its platform brings together digital lab notebooks, experiment planning and records, laboratory information management capabilities, biomolecule data models, and workflow automation. Teams can connect instruments and other software, use developer APIs, and apply AI-powered tools and analytics to support discovery, preclinical research, and process development. Benchling also provides implementation, training, and customer success services to help organizations adopt and scale collaborative R&D across biotech, biopharma, agritech, and industrial biotechnology.
Product Manager, Study Lifecycle
Lead study, testing, and process development products for Benchling’s AI-powered biotech R&D platform. Connect experiment data with scientific analysis and customer workflows.
Сипаттама
- Lead product development for Studies, Sample Testing, Process Development, and links between experiment-run data and analysis.
- Set priorities by determining what to build, why it matters, and the order of work.
- Own the roadmap and outcomes for scientists, customers, and API partners.
- Work with customers and go-to-market teams to understand scientific workflows.
- Turn customer requests into product direction.
- Collaborate with design, engineering, go-to-market teams, and customers to build and launch products.
- Shape product decisions in partnership with design and engineering.
- Test and validate ideas with customers.
- Prepare customer experience teams to support shipped products.
- Work with go-to-market teams to launch products.
- Use SQL, AI, and developer tools to analyze data, prototype concepts, and synthesize customer discovery notes.
Талаптар
- Bring 5–7 or more years of product management or equivalent experience.
- Have a varied career spanning at least two or three substantially different domains or product types.
- Show a record of building and improving products.
- Translate user needs into valuable product features.
- Have experience guiding product architecture decisions.
- Reason effectively about data models, state machines, or schema design.
- Be comfortable with technical tools such as SQL, design software, AI tools, or developer environments.
- Communicate clearly and adapt messaging to different audiences.
- Demonstrate a history of shipping products, learning, and achieving measurable impact.
- Show intellectual curiosity and learn unfamiliar domains quickly.
Артықшылықтар
- Equity
- Health insurance
- Dental insurance
- Vision insurance
- 401(k) with employer match
- Wellness benefits
- Commuter benefits
- Flexible hybrid work arrangement
- In-office collaboration
- Equal employment opportunity