Account Executive, Encord
Physical AI
$220-320k
Offers Equity • Offers Commission
3-5 days a week in office
Data platform for AI training
Open for applications
Data platform for AI training
101-200 employees
Open for applications
$220-320k
Offers Equity • Offers Commission
3-5 days a week in office
101-200 employees
Company mission
To solve AI alignment by tackling the real bottleneck: data quality.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
It has become increasingly clear that the next generation of AI applications will be driven by data-centric approaches concentrated around training data creation, management, and evaluation. Crucial within this process is the annotation or 'labelling' of data. Traditionally, such annotation has been left to human workers, which has historically made this part of the process of AI development expensive, slow, and difficult to scale.
Encord offers a computer vision annotation platform that automates a number of manual labelling tasks. Its suite of tools is designed for collaboration across roles and teams, from domain-expert annotators to project managers and machine learning engineers. This allows companies to iterate 10x faster, and develop and deploy high performing models in less time whilst saving on annotation costs.
Demand is clearly there: since its launch in 2020, Encord has facilitated the annotation of more than 100 million frames and images and served customers in verticals such as medical imaging, smart cities, sports analytics and satellite imaging. Furthermore, usage is scaling rapidly, with the number of labels generated on the platform growing ~70% month-over-month.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Feb 2026
$60m
SERIES C
Aug 2024
$30m
SERIES B
Total funding: $107.2m
Company benefits
- Competitive salary, commission, and meaningful equity in a high-growth startup
- Strong in-person culture: 3–5 days/week in our London, SF, and NYC offices
- Flexible PTO to fully recharge
- Annual learning & development budget
- Frequent travel opportunities across the U.S., London, and Europe
- Bi-annual company offsites, twice-weekly team lunches, and monthly socials
- Company lunches twice a week
- Clear, accelerated growth opportunities as the company scales rapidly
- Comprehensive health, dental, and vision coverage 🇺🇸
Company HQ
North Beach, San Francisco
Articles
Leadership
Eric Landau
(CEO)With MScs from Harvard and Stanford, Eric spent 8+ years as a senior quant at DRW deploying ML at scale—before co-founding Encord to make data the core of AI development.
Ulrik Stig Hansen
(President)Ulrik spent 3+ years in Sales & Trading at J.P. Morgan and holds science master’s degrees from UCL and Imperial—before co-founding Encord to transform how AI handles data.
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