Encord
Encord

Associate Product Manager, Physical AI

TLDR

Shape the Physical AI data stack by turning customer insights into features across data acquisition to 3D rendering, with cross-functional collaboration.

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

  • Problem solving: Break down complex problems into actionable steps and work with the relevant teams to implement solutions

  • Product judgement: Evaluate and prioritise incoming feature requests, and propose new features to stay ahead of trends in the AI data space

  • Customer engagement: Conduct customer interviews and webinars to gather insights and translate these into clear product requirements

  • Product development: Collaborate with engineering and design teams to create detailed product specifications and drive the development process

  • 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

  • Highly organised and execution-oriented — you work well under pressure and uncertainty, with a strong sense of urgency

  • Technically curious and able to understand APIs, data pipelines, and ML workflows at a conceptual level

  • Comfortable with ambiguity — you can decompose messy, ill-defined problems into clear execution plans and get moving without all the answers

  • A strong communicator who can lead customer interviews, run webinars, and keep cross-functional teams aligned

  • Energised by working on hard, fast-moving problems at the frontier of AI

Experience requirements

  • 1–2 years of experience in product development, consulting, or technical project management; experience in a scale-up environment is a plus

  • Demonstrated ability to work cross-functionally and drive initiatives forward with minimal direction

  • Strong written and verbal communication skills, with comfort engaging directly with customers and technical stakeholders

  • Bonus: experience with side projects, hackathons, or personal technical projects; prior exposure to AI/ML or data infrastructure products

Why Encord

  • Competitive salary, commission, and meaningful equity in a high-growth startup

  • Strong in-person culture — most of the team works from our London office 4+ days/week

  • 25 days annual leave + UK public holidays

  • Annual learning & development budget

  • Travel for customer visits, events, and conferences across the UK and Europe

  • Company lunches twice a week

  • Monthly socials & bi-annual team offsites

Benefits

Equity Compensation

meaningful equity in a high-growth startup

Free Meals & Snacks

Company lunches twice a week

Learning Budget

Annual learning & development budget

Team social events and offsites

Monthly socials & bi-annual team offsites

Paid Time Off

25 days annual leave + UK public holidays

Remote-Friendly

most of the team works from our London office 4+ days/week

Encord builds a universal data layer for AI that empowers over 300 teams to effectively train and run their models. Our platform supports the full AI lifecycle, indexing, curating, annotating, and evaluating data from development through to production, making it an essential tool for AI-driven organizations.

Founded
Founded 2021
Employees
51-200 employees
Industry
computer software
Funding stage
Series C+
Total raised
$110M raised
Last funding
Raised February 2026
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