Encord
The data layer for physical AI
Associate Product Manager, Physical AI
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
As an Associate Product Manager at Encord, you will support the development and growth of our Physical AI platform. You will work closely with Senior PMs to ship products that solve real customer problems in the rapidly evolving AI data development space.
We're building tools for the full Physical AI data stack — from data acquisition, through ingestion and curation at scale, to 3D rendering, annotation, and verification. You'll help shape the product roadmap and tackle challenges such as large-scale efficient data transfer and storage, complex domain modelling, applying the latest machine learning models, and squeezing performance out of web browsers.
What you'll do
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Problem solving: Break down complex problems into actionable steps and work with the relevant teams to implement solutions
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Product judgement: Evaluate and prioritise incoming feature requests, and propose new features to stay ahead of trends in the AI data space
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Customer engagement: Conduct customer interviews and webinars to gather insights and translate these into clear product requirements
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Product development: Collaborate with engineering and design teams to create detailed product specifications and drive the development process
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Cross-functional collaboration: Work closely with Engineering, ML, and Customer Success teams to ensure alignment and successful execution of product initiatives
Who we're looking for
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Highly organised and execution-oriented — you work well under pressure and uncertainty, with a strong sense of urgency
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Technically curious and able to understand APIs, data pipelines, and ML workflows at a conceptual level
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Comfortable with ambiguity — you can decompose messy, ill-defined problems into clear execution plans and get moving without all the answers
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A strong communicator who can lead customer interviews, run webinars, and keep cross-functional teams aligned
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Energised by working on hard, fast-moving problems at the frontier of AI
Experience requirements
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1–2 years of experience in product development, consulting, or technical project management; experience in a scale-up environment is a plus
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Demonstrated ability to work cross-functionally and drive initiatives forward with minimal direction
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Strong written and verbal communication skills, with comfort engaging directly with customers and technical stakeholders
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Bonus: experience with side projects, hackathons, or personal technical projects; prior exposure to AI/ML or data infrastructure products
Why Encord
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Competitive salary, commission, and meaningful equity in a high-growth startup
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Strong in-person culture — most of the team works from our London office 4+ days/week
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25 days annual leave + UK public holidays
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Annual learning & development budget
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Travel for customer visits, events, and conferences across the UK and Europe
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Company lunches twice a week
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Monthly socials & bi-annual team offsites
About Encord
At Encord, we're building the AI infrastructure of the future. Today, the biggest challenge companies face in getting an AI product to market is actually not half as glamorous as it may seem: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data — and for 95% of teams, this essential step is both the most costly and the most time-consuming.
As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord.
We’re a team of 60 working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other prominent leaders in AI. We are one the fastest growing companies in our space, and consistently rated as the best tool in the market by our customers.
