
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
Physical AI is our fastest-growing segment. Over the past 12 months, we've grown Physical AI revenue 10x. The companies building the next generation of robotics, autonomous vehicles, and intelligent physical systems have a data problem — and Encord is the only full-stack solution built to solve it.
We're now building the founding sales team that will take this to market.
This is a full-cycle commercial closing role on the ground floor of one of the most consequential verticals in AI. You'll own pipeline generation through close, selling into the world's most advanced Physical AI teams — robotics companies, autonomous vehicle programs, and research-driven enterprises like Boston Dynamics and Dyna. By day 30, you will have identified target accounts and booked meetings; by day 90, you will have closed your first pilot with a robotics or AV firm.
You'll report to the Head of Physical AI and work in close partnership with our founders and GTM leadership. Pipeline generation support is in place. Your job is to run deals with conviction and build the kind of customer relationships that compound over time.
This is not a role for someone who wants a defined playbook handed to them. It's a role for someone who wants to help write it.
What you’ll do
Who we’re looking for
Experience requirements
Why Encord
The data problem is the central bottleneck in AI. Not model architecture — data quality, data scale, and data infrastructure. Encord is the only company operating as a full-stack in AI native data infrastructure. Point solutions are losing. The market is consolidating around platforms, and we're positioned to win it.
Physical AI is the fastest-growing, highest-stakes segment in that market. The companies building robots, autonomous vehicles, and intelligent physical systems need a partner who understands 3D point clouds, LiDAR, sensor fusion, and video annotation at safety-critical precision. That's Encord.
You'll join at the inflection point — proven PMF, Series C momentum, and a category we're actively defining. The person in this role will have a direct line to the founders, real influence over how we go to market, and the kind of career acceleration that only comes from building something that matters at exactly the right time.
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.