What are the responsibilities and job description for the GTM Special Projects, Physical AI position at Encord?
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
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
- Own the full sales cycle end-to-end, from outbound through close, with pipeline generation support
- Sell into Physical AI teams across robotics, autonomous vehicles, and research applications — from high-growth startups to large-scale enterprise programs
- Build deep relationships with technical and executive buyers: heads of autonomy, VP AI, ML engineering leaders, and data operations teams
- Develop a sharp point of view on the Physical AI landscape — understanding where customer pain is sharpest and how Encord's platform delivers measurable impact
- Partner closely with Product, Engineering, and Customer Success to bring customer insight back into the roadmap
- Help sharpen the ICP as we expand into new Physical AI use cases and geographies
- Forecast accurately, maintain pipeline discipline, and operate with the rigor of someone building something that will outlast them
- A consistent top or near-top performer in your current or most recent sales role
- Comfortable selling technically complex solutions to skeptical, STEM-trained buyers — you don't need to be an engineer, but you can hold the room with one
- Energized by ambiguity and early-stage environments where you have real ownership and real accountability
- A natural relationship builder who earns trust through preparation, follow-through, and genuine curiosity about customer problems
- Entrepreneurial by disposition — you see gaps as opportunities, not blockers
- Resilient, high-output, and genuinely motivated by the quality of your work
- 3 to 7 years in a B2B SaaS or enterprise technology sales role, with a track record of hitting or exceeding quota
- Experience selling to technical audiences — ML, data, or engineering teams — is a strong advantage
- Familiarity with data infrastructure, AI tooling, robotics, or autonomous systems is a plus, not a prerequisite; what matters is how fast you ramp and how deep you go
- Exceptional candidates from outside traditional SaaS sales will be considered: if you've performed at the top of a demanding, competitive field and can demonstrate it, we want to hear from you
- Competitive salary, commission, and meaningful equity in a high-growth startup
- Clear, accelerated growth opportunities as the company scales rapidly
- Strong in-person culture: 4 days/week in our newly launched NYC office
- Flexible PTO to fully recharge
- 18 paid vacation days in the U.S. plus federal holidays
- Annual learning & development budget
- Comprehensive health, dental, and vision coverage
- Frequent travel opportunities across the U.S., London, and Europe
- Bi-annual company offsites, twice-weekly team lunches, and monthly socials