Similar Jobs
Chef Robotics is bringing AI into the physical world, starting with one of the world’s largest industries: food manufacturing.
Food production faces one of the most severe labor shortages in the US, with more than 1 million open jobs today and demand continuing to grow. Our robots help manufacturers automate repetitive food-preparation and assembly tasks so they can increase throughput, improve consistency, and keep production onshore.
Today, Chef robots operate in production facilities across North America and Europe, serving customers including Amy’s Kitchen, gategroup, and CookUnity. Our robots have made over 100 million servings in production, creating the world’s largest proprietary dataset for AI-powered manipulation of deformable food. Every meal our robots produce makes the system smarter.
Backed by leading investors including Avataar Ventures, Construct Capital, Bloomberg Beta, Promus Ventures, and Kleiner Perkins, we’re scaling rapidly with a robotics-as-a-service (RaaS) model and long-term customer partnerships. Our team includes engineers and leaders from Google, Cruise, Tesla, Amazon Robotics, Dexterity, Bear Robotics, Saildrone, and Zoox, united by a mission to build intelligent machines that solve meaningful problems in the real world.
If you’re excited about solving hard problems, creating real customer impact, and shipping systems that operate in production every day, not just in the lab, you’ll feel at home at Chef.
About the Role
This role is critical for defining and driving the product vision for Chef Robotics’ intelligent systems, focused on transforming the food production industry. You will be responsible for the full product lifecycle, from initial concept through deployment and iteration, ensuring our robotic solutions meet the needs of food manufacturers and scale efficiently. You will operate at the intersection of robotics, AI, and food service, turning complex technical capabilities into deployable, high-impact products.
What You'll Do
- Own product discovery, strategy, and delivery for a core product area at Chef
- Understand our customers’ needs to define and deliver new features and product offerings
- Work closely with cross-functional teams, including engineering, operations, and sales, to translate customer needs into a product roadmap that meets core business objectives
- Collaborate closely with engineering to develop solutions for our customers
- Monitor and track key product metrics to inform future developments
What You Bring
- 5+ years of experience as a Product Manager or in a technical customer-facing role, preferably working in robotics or products with substantial hardware/software components
- Proven ability to ship new products and features to customers
- Exceptional communication skills and an ability to coordinate across all levels of the company
- Technical fluency to work effectively with a range of engineering teams
- Experience with enterprise B2B customers or manufacturing preferred
Chef Robotics is solving one of the hardest problems in AI: bringing intelligence into the physical world.
Our robots are already operating in production facilities every day, generating the real-world data that powers the next generation of embodied AI. If you want to build technology that leaves the lab, ships to customers, and transforms an industry, Chef is the place to do it.
Chef Robotics San Francisco, California, USA Office
986 Mission St.,, San Francisco, CA, United States, 94103
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- 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
