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Staff Product Manager - Physical AI/Robotics

Coreweaveu Sourced

London, United Kingdom Full-time Not specified

About the role

<div class="content-intro"><div> <div> <div class="gmail_quote"> <div> <div><span id="m_-113912706363268805m_-2746164444908759431gmail-docs-internal-guid-131e4fb0-7fff-b4e9-ff50-e8cf32449b1b">CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at&nbsp;<a href="https://www.coreweave.com">www.coreweave.com</a>.</span></div> <div>&nbsp;</div> <div>We're proud to be a Living Wage accredited Employer.</div> </div> </div> </div> </div> <p>&nbsp;</p></div><p><strong>What You'll Do:</strong></p> <p>CoreWeave’s Physical AI team is building the essential cloud platform for AI innovators, applying machine learning to solve previously intractable physics and engineering challenges. We operate at the intersection of advanced cloud infrastructure, artificial intelligence, and applied data science, transforming how complex industrial products - such as automotive systems, aircraft, robotics, advanced manufacturing systems, and batteries - are conceived, tested, and developed.</p> <p><strong>About the role:</strong></p> <p>As a Staff Product Manager, you will own the vision, strategy, and roadmap for one of the core components of our Physical AI platform. We're rebuilding the platform from the ground up, so you'll shape the product from day one. You'll drive execution across Research, Data Science, Engineering, and Forward Deployed Engineering to ship capabilities spanning agentic experiences, applied AI workflows, and enterprise integrations. You will work closely with enterprise customers to understand complex engineering and industrial workflows, identify where emerging AI technologies can create meaningful value, turn field signals into scalable platform improvements, and mentor other product managers across the organisation while setting a high bar for technical depth, product judgement, and customer empathy.</p> <p><strong>What you’ll do</strong></p> <ul> <li>Run discovery in the field, and spend time in front of customers</li> <li>Decide what we build. You’ll take a candidate product from problem to validated concept; use case, customer proof points, and the business case for continuing or stopping</li> <li>Ship products in a small squad, setting roadmap and sequencing work required.</li> <li>Keep cross-functional stakeholders aligned. For the products you own: a one-line pitch, short summary and demo that anyone in the company can follow - what it is, why we’re building it, what’s next.&nbsp;</li> </ul> <h3><strong>Who You Are:</strong></h3> <ul> <li>Significant experience across product management, product strategy, technical programme leadership, or related roles, with a strong track record of turning complex technologies into products, platforms, or customer outcomes.</li> <li>High versatility with a proven ability to work across multiple technical domains, such as ML modelling, generative AI, agentic workflows, robotics, advanced manufacturing, cloud infrastructure, or data engineering.</li> <li>Strong technical fluency with the ability to confidently discuss APIs, architecture diagrams, deployment models, AI systems, and platform trade-offs with engineers, researchers, and technical customers.</li> <li>Demonstrated cross-functional leadership, skilled at aligning diverse teams across Product, Engineering, Research, Data Science, and commercial functions while managing technical dependencies and balancing constraints with business objectives.</li> <li>Deep customer empathy with a curiosity for understanding complex engineering and industrial workflows, diagnosing friction points, an

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