Senior Product Manager, AI Agent Development
Leads product strategy and development for AI agent capabilities, partnering cross-functionally to deliver AI-powered products and experiences. The role requires senior-level product management experience and is hybrid in San Francisco.
About the job
Responsibilities
- Drive product strategy and development for AI agent capabilities.
- Collaborate cross-functionally to deliver AI agent products and experiences.
Compensation
- Base pay range: $148,000–$185,000 per year in the San Francisco area.
- Additional compensation may include equity, bonus, and benefits.
Skills
AI Agents, Product Strategy, Product Development, Artificial Intelligence, Cross-Functional Collaboration
Similar jobs
Product Management jobsLeads definition and commercialization of next-generation medical devices, translating customer and clinical needs into product requirements and roadmaps. The role coordinates cross-functional engineering, clinical, manufacturing, quality, and regulatory teams throughout the product lifecycle.
Own the strategy, roadmap, and delivery of Limble’s integrations platform, external API, and partner ecosystem for enterprise industrial operations. The role requires 7+ years of product, partnerships, solutions architecture, or integrations leadership, plus hands-on API and integration experience.
Own the strategy and execution of Okta’s authentication policy platform, including policy evaluation, APIs, operational controls, and secure rollouts. The role requires 6+ years of product management experience and expertise in identity, security, enterprise, platform, or developer products.
Own product strategy, roadmap, discovery, and delivery across a B2B SaaS platform serving insurance professionals. The role requires 6+ years of product management experience, strong customer and technical judgment, and the ability to identify and ship high-impact AI capabilities.
Owns strategy and execution for a data platform, metrics layers, integrations, and self-serve data capabilities. Requires 4+ years of product management experience, including 2+ years in data products or infrastructure, plus SQL fluency and familiarity with modern data-stack and AI concepts.