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

How do AI teams detect edge cases faster? What's the best way for AI leaders to measure annotation pipeline performance? As our Technical Content Lead, you'll translate challenges you've likely faced yourself — dataset quality issues, annotation workflows, model performance issues — into content that resonates with AI and ML teams.

You'll bring hands-on experience from data ops, ML engineering, or data infrastructure. That technical foundation is what enables you to create content that drives measurable business impact through brand awareness and pipeline. We're trusted by 200+ world-class AI teams across robotics, logistics, automotive, insurance, GenAI, and many others.

What You'll Do

• Build a scalable content engine across key formats — video, webinars, podcasts, blogs — optimised for each stage of the buyer journey
• Create sophisticated technical content that brings our AI data platform to life for executives and data practitioners
• Collaborate with tech partners and leading AI teams to showcase cutting-edge use cases and real-world implementations
• Develop customer stories and technical case studies
• Create content for conferences, trade shows, and executive roundtables
• Partner with Encord Leadership and Product teams to align content strategy with business priorities
• Pioneer new content formats that expand reach while generating measurable pipeline
• Represent Encord at industry events and conferences (~2 weeks per quarter, Europe/USA)
  
  

Who We're Looking For

• Technical foundation — background in data ops, ML engineering, or data infrastructure from either a hands-on technical role or a commercial/GTM role
• Examples of technical backgrounds: data engineer who built labelling pipelines, ML engineer who worked on MLOps workflows for model deployment/monitoring/fine-tuning, or data scientist who optimised training datasets
• Examples of commercial backgrounds: solutions engineer, technical product manager, or sales engineer at data/MLOps/annotation platforms
• Able to read a technical architecture diagram, understand model evaluation metrics, and discuss dataset quality, annotation workflows, and model accuracy with technical practitioners
• Comfort creating or directing diverse content formats — whether that's recording technical demos, participating in webinars, or developing event presentations
• Ability to translate complex technical concepts into compelling narratives for both practitioners and executives
• Strategic commercial mindset — you understand which content bets drive pipeline and revenue
• Hands-on operator who develops strategy but also executes
• Comfortable with ambiguity and fast pace — you take initiative and adapt quickly
  
  

Experience Requirements

• 4+ years of experience in a technical role (e.g. ML engineering, data engineering, MLOps, data science) or a commercial/GTM role at a data, MLOps, or annotation platform (e.g. solutions engineering, technical product management, sales engineering) — the key requirement is genuine, first-hand familiarity with the challenges AI and ML teams face
• Demonstrable ability to discuss dataset quality, annotation workflows, model evaluation metrics, and ML infrastructure with technical practitioners — you don't need to prompt for a glossary
• A portfolio of technical content — blog posts, tutorials, demos, case studies, webinar appearances, or conference talks — that shows you can translate complex technical subject matter into clear, compelling narratives for both practitioners and executives
• Experience creating or directing content across multiple formats, including at least some combination of written long-form, video or demo recording, and live presentation or webinar delivery
• Commercial instincts — you understand how to map content to the buyer journey, prioritise initiatives by pipeline impact, and measure what's working
• Willingness to travel approximately 2 weeks per quarter across the US and Europe for events and conferences
• Bonus: Direct experience with data labelling, annotation tooling, or active learning workflows; prior content marketing or developer advocacy experience in a B2B SaaS environment; experience producing customer case studies or technical co-marketing content with partners
  
  

Why Encord

• Competitive salary, commission, and meaningful equity in a high-growth start-up
• Clear, accelerated growth opportunities as the company scales rapidly
• Strong in-person culture: 3–5 days/week in our newly launched North Beach loft 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