Engineering Manager (Data Foundations)
Permutive - London, England
Posted Jun 12, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Company stage
- Series B From the posting source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Engineering Manager (Data Foundations) London, England About Us Permutive's mission is to rebuild data in advertising to protect privacy. The open internet needs a sustainable foundation that funds the free & open online experiences we all rely on. Permutive's data collaboration platform uses edge technology to securely process data where it is and AI to discover signals that drive performance, respecting consumers' privacy preferences while delivering outcomes for publishers & advertisers. Our customers include some of the world's largest media companies and advertisers, including News Corp, Warner Brothers Discovery, Hearst, The Guardian, Sky, State Street, Sonos, and Apple, and we're backed by leading investors like SoftBank Vision Fund and Y Combinator. About The Team Data Foundation owns the data platform the rest of Permutive is built on. We process around 75,000 events per second on average, with peaks approaching 200,000, and turn that firehose into the catalog of event data, identities, and third-party marketplace data that every other team draws on. Ingestion, storage, identity resolution, routing, and external data onboarding are all ours. Doing this well is a genuine engineering challenge. Most of our processing is live and stream-based rather than overnight batch, so maintaining consistency in near real time is a constant problem to solve. And at this volume, cost is an engineering concern in its own right, it's easy to make it explode, and keeping it under control takes real care. The team is platform heavy but maintains product surfaces: external data onboarding has a customer facing experience,
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