Top Entry Level Product Manager Jobs in San Francisco Bay Area, CA

Work as an entry-level product manager on a healthcare startup team: research, organize, test ideas, produce and ship features, partner with designers, engineers and clinicians, keep projects on track, and learn core PM skills (specs, data, user research). In-person in Redwood City, hybrid 3 days/week.

The Product Manager will oversee product road map development, collaborate with the CEO, engineering, UI/UX, marketing and sales, and understand customer workflows to ensure product success.

Own product direction for an enterprise AI platform, including requirements, roadmap, acceptance criteria, scope, and stage-gate processes. Translate customer and stakeholder needs into prioritized, testable requirements; manage trade-offs among value, velocity, leverage, and technical risk; and partner with engineering on delivery decisions. Recruit design partners, validate customer needs, document decisions, communicate with executives and clients, and maintain disciplined delivery across multiple product teams.

Lead the migration of at least three public health jurisdictions annually from a legacy disease surveillance system to a modernized cloud platform. Own the migration service and product roadmap, coordinate DevSecOps, content design, and full-stack engineering teams, manage CDC and jurisdiction stakeholders, guide change management, facilitate delivery ceremonies, and use user feedback and data to improve adoption and product direction.

Own the global financial institution connectivity product roadmap for Trustly’s open banking platform. Lead product discovery, prioritization, requirements, integrations, testing, migration, and quality monitoring. Partner with engineering, data, sales, customer success, banking relations, finance, operations, and external providers to expand bank coverage and improve data performance. Use metrics, cost-benefit analysis, AI-enabled product development, and cross-functional leadership to deliver platform capabilities.

Owns the end-to-end product strategy and execution for AI-powered systems. Defines requirements, evaluation frameworks, quality standards, and system behavior while balancing quality, latency, cost, reliability, safety, and user experience. Partners closely with ML, backend, and client engineering teams to identify failure modes, improve model performance, prioritize roadmaps, and deliver predictable, useful, trusted AI experiences.

Join Databricks' 2027 APM cohort to own end-to-end product projects: understand customer problems, prototype and validate ideas, work with engineers and designers to build and launch features on the Databricks platform, and iterate using data-driven feedback.

Own technical capability roadmaps, prioritize program and ART backlogs, define feature requirements, and coordinate delivery across product teams, platforms, vendors, and technology organizations. Partner with architects, engineers, stakeholders, and risk teams to manage dependencies, risks, governance, release readiness, compliance, and production supportability. Track delivery progress, success metrics, adoption, and value realization while facilitating tradeoff decisions, stakeholder alignment, demonstrations, and continuous improvement.