Senior Product Manager at Encord in London

  • Company: Encord
  • Location: London
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-06-01

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Job description

About us We're solving AI's hardest problem: alignment. Encord is the data layer for Physical AI and enterprise, serving as core infrastructure for 300+ of the world's leading AI teams, including Woven by Toyota, Hitachi, Skydio, AbbVie and Dyna, Walden and Agility Robotics. From autonomous vehicles and robotics to sports and healthcare, we're solving AI's hardest problem: turning complex, real-world data into production-ready intelligent systems. We're a team of founders, scientists, quants, researchers, and former Olympians, who’ve helped build some of the most successful companies in Silicon Valley, and alumni of MIT, Stanford, UC Berkeley, Oxford, Cambridge, and Imperial. We’ve raised $110M from legendary technology investors, early backers of companies like Databricks, ElevenLabs and Vercel, and we’re growing at an extraordinary pace. We're looking for exceptional people who want to help build a category-defining company, operating with high urgency and taking real ownership to help shape the future of AI. The Role As a Senior PM, you will own a meaningful product area, either the core platform experience or the data curation and exploration layer, and drive it from strategy through to customer outcomes. You will work closely with Engineering, ML, Design, and Customer Success, and play an active role in Encord's enterprise go-to-market motion. This is a high-autonomy role for someone who is comfortable making independent decisions and driving them through. You don't need a playbook. You write one. • The Opportunity: Just as LLMs were unlocked by massive text datasets, the next wave of breakthroughs in self-driving vehicles, robotics, drones and generative AI requires building entirely new datasets and human feedback pipelines that don't yet exist. Encord is the platform the world's most ambitious AI teams use to build them, and you'll be helping define what that platform looks like. • Hard and Complex Problems : There is no playbook for what the data layer for AI looks like. You'll be solving genuinely novel problems in your product area: whether that's core platform (tooling that scales from a 10-person startup to a 500-person AV team) or data curation (helping customers turn overwhelming floods of raw data into high-signal training datasets). • Ownership and Growth : Product is represented at the highest levels at Encord. You'll have real ownership over your area: setting strategy, making calls, and driving them through. On a small, high-calibre team your impact is visible and your trajectory is accelerated. What you'll do • Own and manage the product roadmap for your area, ensuring alignment with company goals, KPIs, and enterprise customer needs. • Lead customer discovery, interviews, problem validation, webinars, and demos, translating complex pain points into clear, winning product bets. • Partner with Sales and Customer Success to drive upsell, cross-sell, and expansion within our largest enterprise accounts. • Collaborate with Engineering and Design to ship high-quality features at pace, writing tight specs, making clear tradeoffs, and holding a high bar for what ships. • Contribute to building a high-performing, collaborative product management culture. Experience requirements • 2 to 5 years in product management. You have seen an organisation scale rapidly and know what a good product looks like at each stage. • Proven experience on B2B SaaS products or technical products sold to enterprise customers. You understand the enterprise sales motion, expansion, and how product decisions connect to revenue. • You speak in metrics and impact, not features shipped. You have worked closely with GTM teams and can tie product decisions to business outcomes. • A self-starter who makes independent decisions and drives them through. You want ownership, not just input. You are energised by ambiguity, not paralysed by it. • You love speaking to customers. You are curious about hard problems at the frontier of AI, and you anticip

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