Top Product Management Jobs in San Francisco, CA

3 Days AgoSaved
Hybrid
San Francisco, CA, USA
163K-307K Annually
Entry level
163K-307K Annually
Entry level
Cloud • Healthtech • Social Impact • Software • Biotech
Own the direction and roadmap for Benchling’s Schemas platform, including schema types, computed fields, fieldsets, constraints, static properties, and data versioning. Develop customer personas and jobs-to-be-done, translate customer needs into product requirements, and partner with Engineering, Design, Customer Experience, Sales, Marketing, and other product teams. Champion structured data as the foundation for AI capabilities while balancing platform stability with incremental delivery.
Top Skills: Artificial IntelligenceB2B SaasData ModelingSchema Systems
3 Days AgoSaved
Hybrid
San Francisco, CA, USA
227K-307K Annually
Senior level
227K-307K Annually
Senior level
Cloud • Healthtech • Social Impact • Software • Biotech
Own the prioritization, roadmap, and product direction for core infrastructure teams. Translate engineering constraints, customer needs, and business priorities into outcome-focused decisions; conduct customer discovery; define requirements; coordinate across organizations; track reliability, cost, adoption, and developer productivity metrics; and partner on cloud economics, forecasting, vendor strategy, and infrastructure investments.
Top Skills: AICloud Infrastructure
Reposted One Month AgoSaved
Hybrid
San Francisco, CA, USA
163K-222K Annually
Mid level
163K-222K Annually
Mid level
Cloud • Healthtech • Social Impact • Software • Biotech
This role requires managing Benchling's developer platform roadmap, addressing developer needs, enhancing user experience, and collaborating across teams to define and build necessary features and tools.
Top Skills: APIsRest ApisSdks
Reposted One Month AgoSaved
Hybrid
San Francisco, CA, USA
227K-307K Annually
Senior level
227K-307K Annually
Senior level
Cloud • Healthtech • Social Impact • Software • Biotech
Lead product management for Schemas, owning the data-modeling platform primitives (computed fields, fieldsets, constraints, versioning). Engage customers and internal teams, set long-term vision, ship incremental and stable features, and enable scientists, admins, and developers to produce AI-ready structured data.
Top Skills: AIAi AgentsBenchlingData ModelingDatabasesMachine Learning
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