Top AI Product Manager Jobs in San Francisco Bay Area, CA

Lead the AI content operations product roadmap for Content Platforms: embed with content teams, design and prototype AI-powered content tools (metadata, doc-to-CMS, review, research, asset generation), ship prototypes and partner with engineers, drive adoption, and make build-vs-buy decisions while integrating tools into Sanity and the broader content stack.

The Lead Product Manager will define the product strategy for AI/ML features, collaborating with engineering to deliver innovative solutions, enhancing user experiences, and bridging research with production while making critical decisions in ambiguous situations.

Lead product management for Domino's AI Factory, enhancing MLOps capabilities, driving innovations, and integrating governance in model development. Engage with enterprise clients and maintain high product quality standards.

The Technical Product Manager will lead product direction, interface with engineering teams, and ensure the successful deployment of AI-powered safety systems. Responsibilities include defining product vision, translating customer needs, and maintaining high product quality.

Product Manager for Gen AI Platform to drive strategy, execute product roadmaps, and manage cross-functional teams while ensuring quality training data systems for AI models.

As an AI Principal Product Manager, you will manage AI initiatives, define product vision, measure metrics, and lead teams to drive the product roadmap and customer satisfaction.

Lead strategy and roadmap for AI-powered SaaS features; collaborate with engineering, data science, UX, and GTM teams to define problems, run discovery and experiments, manage backlogs, deliver product outcomes, and drive post-launch adoption and performance improvements.

Own a product area end-to-end: discovery, specification, prototyping, and handoff. Use AI to draft and prototype, keep version-controlled docs in GitHub, triage work and bugs, decompose features into plans, and collaborate directly with engineers and designers to drive shipped SaaS outcomes.

Embed with high-value customers to discover and deliver off-platform tasking solutions, own the end-to-end fellow experience in external environments, graduate bespoke integrations into platform primitives, define success metrics for speed and repeatability, and partner cross-functionally to scale revenue-critical AI training-data engagements.

The Senior Technical Product Manager will lead the strategy and execution of Fingerprint's Bot Detection product, covering detection capabilities, customer experience, and commercialization efforts.

Own and improve patient-facing consumer product surfaces across the full care journey. Translate clinical and operational workflows into simple, measurable experiences. Partner with engineering, design, clinical, ops, compliance, and data to scope, ship, instrument, and iterate AI-enabled web and mobile features that increase activation, retention, and reduce support burden while maintaining safety and auditability.

As a Staff Product Manager at Calendly, you'll drive product growth by crafting strategic roadmaps and leading cross-functional teams to enhance customer engagement and satisfaction.

Own the product vision and roadmap for AI-driven growth products. Engage customers to gather feedback, define requirements, and prioritize features with engineering. Serve as a trusted advisor to drive adoption and measurable customer growth. Collaborate across data, engineering, and business teams to execute in a fast-paced, distributed environment.

Lead strategy, roadmap, and execution for Front's Copilot AI assistant embedded in the inbox. Define priorities, use quantitative and qualitative research, drive end-to-end product development, and partner with engineering, design, data, marketing, and sales. Deliver trusted, high-quality AI features (summarize, prioritize, draft, classify, route) and align stakeholders including executives.

The Product Manager will evaluate and manage relationships with LLM models, define product strategy, and coordinate cross-functionally to enhance customer experience while driving product roadmap and adoption.

Lead an AI-first product area end-to-end: define roadmap, engage customers, translate needs into initiatives, measure KPIs, prototype with AI, align cross-functional teams, mentor product staff, and drive adoption, retention, and revenue in a SaaS environment.

Lead ServiceTitan's Australian product roadmap, localize core platform for compliance and market fit, drive customer discovery with Australian contractors, coordinate with global engineering and GTM teams, measure region-specific metrics, and launch/iterate products to establish long-term retention and sales enablement.

As an AI Product Manager, you'll shape AI-powered applications, drive product development, collaborate with teams, and ensure alignment with business objectives and user needs.

As an Outbound Product Manager, you'll focus on AI and Workflow Automation for the Guidewire Cloud Platform, driving product direction, gather insights, collaborate cross-functionally and enhance customer adoption of automation solutions.

The Senior Product Manager will prioritize and deliver AI products, support cross-functional teams, enhance key metrics, and drive market leadership through innovation and research.

Responsible for defining and executing AI and data product vision for a Legal ERP platform, ensuring alignment with customer needs and cloud strategy.

This role focuses on managing the growth strategy for Hazel, an AI product in wealth management, driving user acquisition, retention, and monetization through data-driven experiments and cross-functional collaboration.

The Senior Product Manager will define AI vision, partner with engineering, launch products, and engage with customers to innovate enterprise AI solutions.

Lead the development of AI agents by collaborating with engineering and customers, influencing the product roadmap, and ensuring successful integration in healthcare operations.

Lead product management for AI tools in software/SaaS, manage product lifecycle, drive strategic roadmap, and ensure product adoption through iterative shipping and user feedback.