---
title: 'Technical Program Manager at Encord'
canonical: 'https://feeny.ai/job/technical-program-manager-encord-london-szj48frfp5g0'
type: 'job'
last_seen: '2026-09-05'
---

# Technical Program Manager at Encord

- **Company:** Encord
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-28
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/encord/ff43717b-e788-40d7-9ee0-ba44a79c3139

## Job description

## 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

We're hiring Technical Program Managers in London to run Encord's highest-stakes human data projects end to end — the work for frontier AI labs and physical AI companies, in specialist domains such as medical imaging and robotics, and the data types we are running for the first time. These are the projects where the technical complexity is highest and where a mistake is expensive.

You will work at the point where machine learning requirements become annotation work: translating what a research team actually needs into workflows, standards and instructions that a specialist workforce can execute at volume, then holding the result to a measurable standard.

This is the load-bearing role in the business, and it is a hands-on one. You will know your projects' annotation standards better than anyone at the company, teach them to the annotators producing the work, decide who works on what, judge who is performing and who should come off, resolve the edge cases nobody anticipated, and answer for the delivery timeline. You will run several projects at once, and you will own how they are run.

## WHAT YOU'LL DO

- Own delivery of your projects end to end — throughput, quality and timeline
- Translate complex machine learning requirements into clear annotation workflows, and design the process that produces the data the model actually needs
- Become the deepest expert at Encord on your project's annotation standards, and the person who resolves ambiguity and edge cases as they surface
- Maintain quality through process refinement, auditing and structured feedback loops, rather than through inspection at the end
- Train annotators onto the project and keep them improving — building the material yourself until our Learning & Development Specialist is in place
- Coach your annotation teams: give them the context behind the task, not only the rules, and develop their skills as the work gets harder
- Measure annotator performance and make the calls it implies: who continues, who needs retraining, who comes off the project
- Allocate tasks and manage the queue so that throughput and quality targets are met together rather than traded against each other
- Instrument the project at launch with the Quality Systems Lead — acceptance criteria, sampling plan, reviewer ratio — so it is measurable before the first batch ships
- Produce the delivery reporting for customers, and surface risk early enough that something can still be done about it
- Partner with Product and Engineering on process and tooling improvements, and feed recurring problems back into the playbooks, into training and into the platform

## WHO WE'RE LOOKING FOR

- You go deep on the detail. Your instinct is to read the whole specification and annotate fifty items yourself before you assign anyone else
- Execution-oriented: you are measured by what shipped, not by what was planned, and you would rather fix a workflow than document one
- Analytically rigorous. You work in numbers — throughput, quality rate, utilisation — and you notice when one is being bought at the expense of another
- Technically fluent enough to work with ML teams on what they need and why, and to pull your own data rather than wait for it
- You make people calls on evidence rather than on impression, and you can have the difficult version of that conversation
- Organised under real load: several projects, several time zones, and requirements that move
- A clear writer and a strong cross-functional communicator. Most of the workforce delivering your project you will never meet in person
- Entrepreneurial: when a date is at risk your first move is to re-plan, not to escalate, and you invent the process where none exists
- Genuinely interested in AI and in what the data you are producing is actually for

## EXPERIENCE REQUIREMENTS

- 3–7 years of professional experience, ideally combining operational delivery with analytical work — AI data or annotation operations, strategy consulting, or data and operations roles at leading technology companies
- Demonstrated end-to-end ownership of complex, multi-stakeholder workflows, with responsibility for the outcome rather than the coordination
- 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, with the numbers to show it
- Experience translating a detailed technical specification into instructions other people can follow
- Bonus: direct experience of annotation, evaluation or model-training workflows

## WHY ENCORD

- Competitive salary, commission, and 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

## About Encord

## Company Overview
- **One-liner**: Encord provides the data infrastructure layer for physical AI, helping teams curate, annotate, evaluate, and manage multimodal training data for systems like autonomous vehicles, robotics, and smart infrastructure.
- **Entity Type**: Private (Venture-backed, $110M total funding)
- **Headquarters**: San Francisco, California, United States (with offices in New York, NY and London, UK)
- **Founded**: 2021
- **Founders**: Ulrik Stig Hansen (CEO/Co-Founder), Eric Landau (Co-Founder & President)

## Core Business
- **Primary industry**: AI infrastructure / Data annotation & curation for Physical AI (autonomous vehicles, robotics, world models, industrial automation)
- **Target customers**: Enterprise AI teams building multimodal, sensor-heavy AI systems (B2B, Enterprise)
- **Mission/purpose**: "Train and run AI on the right data" – solving the data quality bottleneck that prevents AI products from reaching production.

## Products & Services
- **Encord Platform**: End-to-end data management platform covering curation, annotation (native video, LiDAR, audio, text, sensor fusion), RLHF alignment, and model evaluation. API/SDK-first, zero data migration, runs on the customer’s cloud.
- **Data-as-a-Service (DaaS)**: Professional services for data collection and annotation, including in-field operators and teleoperation facilities matched to physical AI tasks.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total funding $110.1M (as of 2026); annual revenue estimated at $5.5M (LinkedIn proxy, "Not publicly available" for official numbers)
- **Notable Investors/Partners**: CRV, Y Combinator (W21 batch), and individual investors like Luc Vincent (former VP of AI at Meta). Customers include Toyota, Skydio, Maxar, and UiPath (UiPath achieved near 99% model accuracy and 10x dataset growth using Encord).
- **Growth Signals**: 139 employees (+74.3% YoY, +78 people); 300+ teams using the platform; operates in 7 countries; recognized as one of the fastest-growing companies in the data annotation space; strong customer retention (e.g., UiPath 4x reduction in error rate).

## Competitive Advantages
- **Built for Physical AI**: Multimodal by design from the ground up – handles synchronized LiDAR, camera, radar, depth, force/torque, audio, and text in a single workflow.
- **Enterprise‑grade trust**: Zero data migration (data stays in customer cloud), API/SDK-first integration, label lineage and quality controls for production scale.
- **Proven at scale**: Used by leading autonomous vehicle, robotics, and enterprise AI teams; validated by public case studies (UiPath, Toyota, Skydio).

## Strategic Focus
- Deepen capabilities for world models, VLA (Vision-Language-Action) models, and robotic perception.
- Expand Data-as-a-Service offerings for physical AI data collection and annotation.
- Continue scaling the customer base across industrial, manufacturing, autonomous vehicles, and smart infrastructure verticals.

## Why Work Here
- **Culture**: “Strong in-person culture” with hybrid/office‑first approach (San Francisco, New York, London). 45+ nationalities represented. Core values: “Builds with care + urgency” and “High agency”.
- **Compensation & Benefits**: Equity in a hyper‑growth startup; 25 days paid time off; private health insurance (UK/US); team lunch twice a week; monthly team events and bi‑annual offsites; cycle to work scheme; home & tech scheme; annual learning & development stipend; payroll giving scheme.
- **Visa Policy**: Case-by-case visa sponsorship, confirmed early in the recruiter screen.
- **Interview Process**: Typically 4–5 stages: recruiter screen, hiring manager conversation, skills‑based interview or take-home, and final panel. Recruiter walks candidates through specifics upfront.
- **Early‑career programs**: Commercial Associate program (GTM launchpad) and early‑career engineering/ML roles – no formal internship program but hires ambitious early‑career candidates.

## Sources
1. [encord.com – Careers page](https://encord.com/careers)
2. [encord.com – Homepage](https://encord.com/)
3. [encord.com – About page](https://encord.com/about-us/)
4. [linkedin.com – Encord company page](https://es.linkedin.com/company/encord-team)
5. [ycombinator.com – Encord jobs](https://www.ycombinator.com/companies/encord/jobs)

## Other roles at Encord

- [Financial Analyst](https://feeny.ai/job/financial-analyst-encord-london-sn0f04xmtywv) — London, United Kingdom
- [Learning & Development Specialist](https://feeny.ai/job/learning-development-specialist-encord-london-3jnes7dddr82) — London, United Kingdom
- [Quality Systems Lead](https://feeny.ai/job/quality-systems-lead-encord-london-3ryf0bcpedap) — London, United Kingdom
- [Learning Design Lead](https://feeny.ai/job/learning-design-lead-encord-san-francisco-6dss6rc19q72) — San Francisco, CA
- [Senior Software Engineer - Backend](https://feeny.ai/job/senior-software-engineer-backend-encord-london-3afsyr22tbxt) — London, United Kingdom
- [Principal Engineer - Backend](https://feeny.ai/job/principal-engineer-backend-encord-london-stnvm858dsp8) — London, United Kingdom
- [DevOps Engineer](https://feeny.ai/job/devops-engineer-encord-san-francisco-jtf91046czvy) — San Francisco, CA
- [Solutions Engineer](https://feeny.ai/job/solutions-engineer-encord-london-10h4nd11q84b) — London, United Kingdom
- [Customer Engineer](https://feeny.ai/job/customer-engineer-encord-new-york-0fwzrrdmx2b6) — New York, NY
- [Account Executive, Physical AI](https://feeny.ai/job/account-executive-physical-ai-encord-london-mz2fnybs4s45) — London, United Kingdom