The Role
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
Encord is scaling rapidly, with strong product-market fit and a clear mandate to significantly accelerate revenue this year. As one of our first quota-carrying hires in London, you'll play a foundational role in building our go-to-market engine.
Reporting to the Head of Sales and working closely with our founders and leadership team, you'll help take a category-defining AI infrastructure platform to market — selling into some of the most advanced AI teams in the world as we expand from core computer vision into Physical AI, one of the next major frontiers in AI.
This is a rare opportunity to join after early traction is proven, but before the GTM motion is fully built.
What you’ll do
- Own the full sales cycle end-to-end, from pipeline generation through close
- Sell into sophisticated mid-market and enterprise teams building frontier AI products
- Drive high-impact deals and help scale Encord through its next phase of growth
- Work with customers solving real, complex problems across multimodal data, robotics, and physical systems
- Partner closely with Product, Engineering, and Customer Success to feed customer insight directly into the roadmap
- Help refine our ideal customer profile as we expand into new industries, use cases, and geographies
- Grow with the company, with the opportunity to take on expanded ownership as we scale
Who we're looking for
- Highly ambitious, competitive, and motivated by building something meaningful
- Entrepreneurial mindset — you want ownership, speed, and real impact
- Strong commercial intuition and the ability to earn trust with senior technical and business stakeholders
- Comfortable selling complex, technical products (or excited to ramp quickly in a deep technical domain)
- Hungry to become exceptional at sales and grow into leadership
- A history of strong performance in high-expectation environments
Experience Requirements
- 2–5 years of closing experience in B2B SaaS or technology sales, with a track record of meeting or exceeding quota
- Experience managing complex, multi-stakeholder sales cycles with deal values of $50K+
- Demonstrated ability to sell to technical buyers — including engineers, ML practitioners, or data scientists — and navigate to economic decision-makers
- Proven ability to self-source pipeline and drive deals from first contact through close
- Experience at a high-growth startup or fast-paced sales environment preferred
- Familiarity with CRM tools (e.g. Salesforce, HubSpot) and structured sales methodologies (e.g. MEDDIC, SPICED, Challenger)
- Bachelor's degree or equivalent practical experience
- Bonus: Experience selling developer tools, infrastructure, or technical platforms. Exposure to mid-market or enterprise sales cycles. Startup experience in fast-growth, execution-heavy environments. Curiosity about AI, robotics, or the future of Physical AI
Why Encord
- Competitive salary, commission, and equity in a high-growth start-up
- 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
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The Company
What We Do
Encord is the data layer for physical AI. We're how the world's most ambitious AI teams turn messy, multimodal data into production systems - from humanoid robots to autonomous vehicles to smart infrastructure. 300+ teams including Toyota, Skydio, and Maxar rely on Encord to curate, manage, and align the data their models actually need. $110M raised. San Francisco, New York, and London.
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