Sales Director

🏢 Encord · 📍 New York · 💼 onsite · ⏰ FullTime
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Position Summary & Responsibilities

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

We're looking for a founding Sales Director to lead revenue growth across our markets. This is a rare opportunity to join a hyper-growth AI infrastructure company in a true leadership seat — reporting directly to the VP of Global Sales and working alongside the co-founders. You'll come in as a leader, inherit and grow a team, and shape how we go to market as we scale.

What you'll do

  • Lead and grow a high-performing sales team — hiring, coaching, and developing Encord sellers while staying close to the market yourself

  • Own revenue growth across your market — taking the product to leading AI and tech businesses and scaling to $millions in ARR

  • Navigate complex, full-cycle enterprise and mid-market sales with customers ranging from fast-growing startups to Fortune 500s

  • Partner with the VP of Global Sales on GTM strategy, ICP expansion, and new verticals — with a clear path to owning an expanded geography, sector, or team as we scale

  • Roll up your sleeves and run sales cycles yourself during the ramp period — learning the product, the buyers, and the motion firsthand so you can coach your team from experience, not theory

  • Become the authoritative voice on how Encord is positioned and pitched — setting the standard for the team around you

  • Represent Encord externally — at industry events, in senior customer relationships, and across the

🎯 Candidate Preparation Guide For Encord Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Evaluating full-stack engineering excellence, scalable data labeling and curation infrastructure, and the capability to handle massive multi-modal AI datasets.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Treating data tooling as simple CRUD applications rather than performance-critical scientific workflows.
  • 2. Ignoring frontend performance bottlenecks when rendering large multi-modal datasets in the browser.
  • 3. Failure to grasp the iterative feedback loop between data quality and model performance.
✨ Recommended Role Alignment Hook:

I build high-performance data infrastructure that streamlines the most painful bottleneck in AI development: turning raw multi-modal data into clean, annotated gold.

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