Associate Product Manager, Physical AI

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$102,662 U.S. median for this role

Projected growth (BLS Employment Projections)

+5.4% - Faster than average

Matched to SOC 11-1021 - Product Management aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Product From the posting source checked Jun 20, 2026

Seniority

Entry From the posting source checked Jun 20, 2026

Work mode

Onsite From the posting source checked Jun 20, 2026

In-office days

5 days From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Series C From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Associate Product Manager, Physical AI London | OnSite 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

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