humanoid - VP of Industrial Product Engineering
Requirements
• 15+ years in engineering leadership, with a track record of shipping multi-disciplinary HW/SW/AI products at meaningful scale. • Software-biased background. Most of the long-term work here is software and AI — deployment, fleet learning, capability iteration. We need a leader whose center of gravity is software, with the HW and AI fluency to drive us to a world-class holistic product. • Deep understanding of the industrial market — what real industrial customers in logistics, manufacturing, automotive and adjacent verticals actually buy, integrate, and rely on. UK or EU industrial experience is a strong plus; US industrial deployment experience is equally valued. • Demonstrated ability to lead through influence in a matrix — you have driven outcomes across teams you didn't directly manage, and you can show how. • You have taken product from zero to one, and have delighted customers with innovative solutions to solve their real pain points. • Deep technical credibility across HW, SW, and modern AI — enough to debate functional leads as a peer, not just review their work. • Comfort operating across distributed teams (London, Boston, Vancouver, San Diego). • Calibrated for the pace of a company moving from prototype to production at the same time it's raising and growing. • WHAT SUCCESS LOOKS LIKE AT 12 MONTHS • Long term pilots transition smoothly into scaled deployments at multiple customer locations. • Robots in reliable operation around the clock, delivering to strict SLAs. • HW, SW, and AI are all moving at best-in-class quality — none of the three is sacrificed to hit a near-term gate. • London required. The role requires daily proximity to the people you'll be coordinating with across engineering/ops/product/business.
Responsibilities
• Own end-to-end engineering delivery for the industrial product — from design, through pilots, through scale and iteration in the field — across HW, SW, AI, and system integration & test. • Direct prioritization for the engineers hard-allocated to industrial across our matrixed functions (industrial / common / home). Partner closely with functional leads on shared platform work, and with Ops on manufacturing readiness. • Be the single source of truth on industrial engineering delivery and forward roadmap for the CEO, Commercial team, Product, and customers. • Build a delivery engine that releases production software on a fast, predictable cadence and that scales beyond the first industrial product line.
Benefits
• Most humanoid efforts are racing toward fully general-purpose bipeds with five-fingered hands. We made a different call — informed by direct customer conversations and a team that has actually deployed robots at fleet scale in prior companies. Our wedge is the practical one: wheeled industrial humanoids that solve real customer problems today, on a generalized hardware platform with generalized learning paradigms. • What that means for the role: The combination of generalized hardware and generalized learning lets us deploy and integrate astonishingly fast — high-performance capability landing in customer facilities in days to weeks, not quarters. Industrial customers used to the multi-quarter integration cycles that are the industry norm consistently tell us this looks different. It is. • Competitive equity: stock options with meaningful upside as we scale. • 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). • Private healthcare, including virtual and in-person care. • Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. • Free daily breakfast, catered lunch, and snacks in-office. • Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. • Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
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