---
title: 'Senior Product Manager at Encord'
canonical: 'https://feeny.ai/job/senior-product-manager-encord-london-5960g2c2ak5r'
type: 'job'
last_seen: '2026-09-12'
---

# Senior Product Manager at Encord

- **Company:** Encord
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-01
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/encord/b8cfae81-6e9f-4f3e-a03a-2d03e7d115f3/application

**Skills:** B2B SaaS, Enterprise Sales, Product Management

> Own a key product area within Encord's AI data infrastructure platform, driving strategy from conception to customer outcomes. Partner with engineering, design, and sales to define the data layer for AI, solve complex technical problems, and drive enterprise growth.

## 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

Encord is a fast-growing company building the data infrastructure layer for AI teams. We work with leading enterprises across autonomous vehicles, healthcare, robotics, and generative AI. Our product team is small, high-calibre, and operating in genuinely green-field territory. The data layer for AI is still being defined, and you will help define it. As a Senior PM, you will own a meaningful product area, either the core platform experience or the data curation and exploration layer, and drive it from strategy through to customer outcomes. You will work closely with Engineering, ML, Design, and Customer Success, and play an active role in Encord's enterprise go-to-market motion. This is a high-autonomy role for someone who is comfortable making independent decisions and driving them through. You don't need a playbook. You write one.

- The Opportunity: Just as LLMs were unlocked by massive text datasets, the next wave of breakthroughs in self-driving vehicles, robotics, drones and generative AI requires building entirely new datasets and human feedback pipelines that don't yet exist. Encord is the platform the world's most ambitious AI teams use to build them, and you'll be helping define what that platform looks like.
- Hard and Complex Problems: There is no playbook for what the data layer for AI looks like. You'll be solving genuinely novel problems in your product area: whether that's core platform (tooling that scales from a 10-person startup to a 500-person AV team) or data curation (helping customers turn overwhelming floods of raw data into high-signal training datasets).
- Ownership and Growth: Product is represented at the highest levels at Encord. You'll have real ownership over your area: setting strategy, making calls, and driving them through. On a small, high-calibre team your impact is visible and your trajectory is accelerated.

## The Role

- Own and manage the product roadmap for your area, ensuring alignment with company goals, KPIs, and enterprise customer needs.
- Lead customer discovery, interviews, problem validation, webinars, and demos, translating complex pain points into clear, winning product bets.
- Partner with Sales and Customer Success to drive upsell, cross-sell, and expansion within our largest enterprise accounts.
- Collaborate with Engineering and Design to ship high-quality features at pace, writing tight specs, making clear tradeoffs, and holding a high bar for what ships.
- Contribute to building a high-performing, collaborative product management culture.

## Experience requirements

- 2 to 5 years in product management. You have seen an organisation scale rapidly and know what a good product looks like at each stage.
- Proven experience on B2B SaaS products or technical products sold to enterprise customers. You understand the enterprise sales motion, expansion, and how product decisions connect to revenue.
- You speak in metrics and impact, not features shipped. You have worked closely with GTM teams and can tie product decisions to business outcomes.
- A self-starter who makes independent decisions and drives them through. You want ownership, not just input. You are energised by ambiguity, not paralysed by it.
- You love speaking to customers. You are curious about hard problems at the frontier of AI, and you anticipate needs before customers can fully articulate them.
- Excellent communication skills for leading internal sessions and external engagements, customer interviews, demos, and stakeholder presentations.

Encord encourages people from all backgrounds, cultures, and skill levels to apply. You don't need to meet every requirement. We are looking for people who are passionate, customer-focused, and eager to learn.

## 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

## 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

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