Product Manager Jobs in Oakland, CA

Own defined product workflows for benefit verification and prior authorization, working directly with engineers to prototype, ship, and measure AI-driven improvements. Speak with clinical teams and customers to translate pain points into lightweight requirements, evaluate model outputs, and improve human-in-the-loop AI workflows. Become a domain expert in EHRs, payer portals, PBM formularies, and NCPDP standards to drive adoption and impact.

Lead delivery of core platform capabilities from ideation to launch for an enterprise-scale agentic/AI platform. Author specs, prioritize work, run discovery with customers, partner with engineering, UX, and GTM teams, track OKRs, and ensure successful customer enablement. Operate in a fast-moving, AI-focused product environment and adapt plans as business priorities change.

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.

Lead the product roadmap for Physical AI, translating research into deployable robotics/autonomy products. Define readiness, success metrics, and reliability thresholds. Align research, engineering, and field teams, prioritize field validation over benchmarks, write clear specs and decision logs, and operate in ambiguous, fast-moving environments.

Lead product strategy and execution for Bond and new AI-first research tools. Translate MCP/LLM grounding, retrieval, and corpus ingestion architecture into customer-facing roadmaps and specs, work with engineering and GTM on enterprise and lab requirements, mitigate product risks, represent product in customer/design-partner conversations, and help build the product function.

As a Senior Product Manager, you will shape product strategy, lead cross-functional teams, conduct user research, and drive product execution in the trucking payment sector.

Own end-to-end product areas for AI-driven voice conversations: define strategy and roadmaps, author outcome-driven PRDs, partner with engineering and design, validate with customers, and drive cross-functional execution to deliver scalable, reliable voice AI products.