
The data layer for physical AI
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 a Product Engineer at Encord, you'll be embedded at the core of our product — owning features end-to-end, from the API design and backend systems all the way through to the UI that annotation teams, ML engineers, and compliance officers use every day. You won't be handed specs; you'll help write them.
We care deeply about product craft, technical excellence, and shipping things that genuinely matter to our clients. If you have strong opinions about what good software looks and feels like — and the drive to make it happen — you'll fit right in.
What you'll do
Build scalable back-end systems and intuitive front-end interfaces — owning features from database schema to rendered UI
Work with ML workflows — developing tooling for model evaluation, active learning, and automated quality pipelines
Iterate rapidly on product and ship high-quality features at pace, maintaining strong CI/CD and testing practices throughout
Work closely with customers, product, and design to understand problems deeply and deliver solutions that create real impact
Contribute to shaping how the team works — our architecture decisions, engineering culture, and product direction are all open for input
Who we're looking for
You've seen and built a lot. You have personally developed and maintained multiple systems from scratch, and you know what trade-offs are involved in building reliable, performant software at speed
You want your work to have a tangible outcome for people. You're not satisfied with building products that do not see the light of day
You are a builder. You enjoy all aspects of building not only software but a complete product, and are comfortable moving across the stack when necessary.
You enjoy problem-solving and thinking from first principles, and are always ready to pick up new skills and build quickly
You're happy to tackle problems without a predefined, clear definition or obvious solution, and are excited to have autonomy to make decisions as you go
You understand that being a member of a high-performing team requires two things. You contribute your best work and help others contribute their best. You'll always lend a helping hand when needed and level up those around you
Experience requirements
Strong full-stack engineering experience, with a strong track record of shipping products you're proud of
Deep fluency in at least one high-level language (we use Python and TypeScript, but we care more about depth than the specific language)
Strong front-end skills — comfortable with building polished, responsive interfaces, ideally with React
Familiarity with cloud infrastructure (GCP preferred) and containerised deployment (Kubernetes) is a plus
Experience building at scale in a fast-paced startup or high-growth environment
Exposure to machine learning workflows or ML infrastructure is a plus
Tech stack
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
At Encord, we're building the AI infrastructure of the future. Today, the biggest challenge companies face in getting an AI product to market is actually not half as glamorous as it may seem: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data — and for 95% of teams, this essential step is both the most costly and the most time-consuming.
As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord.
We’re a team of 60 working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other prominent leaders in AI. We are one the fastest growing companies in our space, and consistently rated as the best tool in the market by our customers.