Encord

Encord

Special Projects, GTM

New York · Vp

Sponsorship not specifiedDetected 57 days ago
Full-Stack DevelopmentMachine LearningSalesOutbound SalesCustomer SuccessRoboticsResearch

About the role

  • Physical AI is our fastest-growing segment.
  • Over the past 12 months, we've grown Physical AI revenue 10x.
  • This is a full-cycle commercial closing role on the ground floor of one of the most consequential verticals in AI.

Responsibilities

  • Own the full sales cycle end-to-end, from outbound through close, with pipeline generation support
  • 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
  • Forecast accurately, maintain pipeline discipline, and operate with the rigor of someone building something that will outlast them

Nice to have

  • Help sharpen the ICP as we expand into new Physical AI use cases and geographies
  • 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

Compensation

  • Competitive salary, commission, and meaningful equity in a high-growth startup

Benefits

  • Competitive salary, commission, and meaningful equity in a high-growth startup

Company info

  • 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.
  • 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.
  • 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.

This listing is sourced directly from Encord's careers page and normalized into a canonical job model.