Technical Program Manager

London. Posted 2 months ago

The role

Technical Program Managers will run high-stakes human data projects end to end for frontier AI labs and physical AI companies. You will translate machine learning requirements into annotation workflows and manage the quality and delivery of data for specialist domains.

What you will do

Own delivery of projects including throughput, quality and timeline
Translate complex machine learning requirements into clear annotation workflows
Become an expert on project annotation standards and resolve edge cases
Maintain quality through process refinement, auditing and structured feedback loops
Train and coach annotation teams
Measure annotator performance and manage staffing decisions
Allocate tasks and manage the queue to meet throughput and quality targets
Instrument projects with acceptance criteria and sampling plans
Produce delivery reporting for customers and surface risks early
Partner with Product and Engineering on process and tooling improvements

Required qualifications

3–7 years of professional experience, ideally combining operational delivery with analytical work
Demonstrated end-to-end ownership of complex, multi-stakeholder workflows
Working proficiency in Python or SQL
Direct experience managing, coaching or performance-managing a distributed workforce
Track record of holding quality and throughput at the same time
Experience translating a detailed technical specification into instructions

Nice to have

direct experience of annotation, evaluation or model-training workflows

Benefits

Competitive salary
Commission
Meaningful equity
Clear, accelerated growth opportunities
Strong in-person culture: 4 days/week
Daily team lunches & dinners
Annual learning & development budget
Comprehensive health, dental, and vision coverage
UK employees: 25 paid vacation days plus UK public holidays
Frequent travel opportunities across the U.S., London, and Europe
Bi-annual company offsites & monthly socials

About the company

Encord is the data layer for Physical AI and enterprise, serving as core infrastructure for 300+ leading AI teams. The team includes founders, scientists, quants, researchers, and former Olympians.