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
As our first dedicated Growth Engineer, you'll own the full technical surface of how potential customers find us, experience us for the first time, and expand within their organisations. That means writing real software - not configuring tools - to build systems that scale. You'll work closely with our GTM, product, and engineering teams, turning growth hypotheses into shipped code and measurable outcomes.
What You'll Do
- Design and build the web infrastructure that powers our acquisition funnel - dynamic landing experiences, personalisation logic, and conversion tooling that responds intelligently to who is visiting and why
- Get deep into our CRM, product usage, and behavioural data to identify friction and drop-off across the customer journey, then build targeted technical interventions that move the needle on pipeline velocity
- Build interactive experiences that let ML engineers evaluate Encord hands-on, shortening the time between interest and conversion
- Architect the experimentation infrastructure that lets us run rigorous tests across the growth stack and translate results into durable product improvements
- Build the referral, sharing, and expansion mechanics that turn happy users into a source of organic growth within their organisations
- Connect our martech, CRM, and data warehouse into a coherent system so every team working on growth is working from the same source of truth
- Own our attribution stack from the ground up, implementing the tracking and data pipelines that give us a clear picture of how prospects move from first touch to closed deal
Requirements
- 3+ years of professional software engineering experience, with a portfolio of work you've shipped and can speak to in depth
- Strong proficiency in JavaScript/TypeScript and React, with enough backend and data fluency to own systems end-to-end
- Solid SQL skills and comfort querying datasets to identify patterns and growth opportunities
- Experience with web analytics, funnel instrumentation, or conversion tracking; you know what good measurement looks like and how to build it properly
- A systematic approach to experimentation - you know how to design a test, avoid common pitfalls, and when results are actually telling you something
- Comfortable with AI-powered development tools like Claude Code, Cursor, or Copilot as everyday accelerators
Bonus
- You've worked on a developer-facing product and understand what it takes to earn the trust of a technical audience
- Hands-on experience with ML workflows, data pipelines, or AI tooling
$120,000 - $160,000 a year
We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn.
What We Offer
- Competitive salary and equity in a hyper growth startup.
- Real opportunities to grow. We’re growing insanely fast and you’ll have all the opportunities for growth that you can handle.
- Strong in person culture. We're 3-5 days a week in our newly-launched loft office in North Beach.
- Flexible PTO to recharge.
- Annual learning and development budget.
- 18 paid vacation days + federal holidays.
- Lots of opportunities for travel (all around the US, to London & Europe).
- Bi-annual off-sites and monthly socials.
- Health, dental and vision insurance.
Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more.
Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.