About the role
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The Role
Encord is a fast-growing company building the data infrastructure layer for AI teams. We work with leading enterprises across autonomous vehicles, healthcare, robotics, and generative AI. Our product team is small, high-calibre, and operating in genuinely green-field territory. The data layer for AI is still being defined, and you will help define it.
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.
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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.
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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).
