Lead product strategy and roadmap for AI and robotics products, translating VLA and agentic RAG breakthroughs into customer value, defining safety/usability/performance metrics, working with enterprise adopters, and driving cross-functional delivery.
We are seeking a dynamic AI/Robotics Product Manager to drive the integration of cutting-edge technologies and transform them into customer-centric solutions. This role will play a pivotal part in defining safety, usability, and performance metrics, while collaborating with enterprise clients to refine robotic and agentic deployments.
Responsibilities:
- Translate deep tech breakthroughs (VLA models, Agentic RAG) into tangible customer value.
- Define safety, usability, and performance metrics for the engineering teams.
- Interface with early enterprise adopters to gather feedback on agentic and robotic deployments.
- Lead cross-functional teams to ensure successful product delivery.
- Develop and maintain a product roadmap that aligns with strategic business goals.
Required Skills:
- Technical background in AI, computer science, or engineering.
- Proven experience shipping complex hardware or deep-tech software products.
- Exceptional ability to communicate complex concepts to both engineers and stakeholders.
- Strong analytical skills and a data-driven decision-making approach.
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What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
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- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
