This is a chance to help build products that are used by athletes, coaches, and teams across every major sport worldwide!
As a business, they are working on technology that powers elite performance, transforms training, and brings cutting‑edge AI and computer vision directly into the hands of world‑class sports organisations. Its very cool!
This is a rare opportunity to join a Human Performance engineering group on a mission to revolutionise how athletes compete on a global scale.
You’ll be joining a company with huge reach, modern engineering culture, incredible product ambition, and a genuinely inspiring purpose.
They are looking for a Lead Engineer (tech focused - no management) to support a number of squads and really champion quality engineering.
In this role you will
- Drive architectural direction, long‑term system strategy, and engineering excellence across multiple squads.
- Own high‑impact technical delivery - Lead full‑stack, cloud‑native engineering work that scales flawlessly across global sporting events, datasets, and user bases.
- Mentor engineers, guide design decisions, set engineering standards, and foster a culture built on curiosity, experimentation, craftsmanship, and autonomy.
- Work closely with Product, Design, Data Science, and other engineering teams across roughly 5 cross‑functional squads.
& most importantly!
- Build cutting edge technology... Such as (AI & machine‑learning features, Computer‑vision powered system, Smart hardware integrations, Performance analytics platforms, Real‑time data & video pipelines, New athlete‑facing tools, Entirely new product surfaces. Its all greenfield and always exciting.
Tech you’ll work with
- C#
- TypeScript
- React / React Native
- Plus any backend language you bring:
- Python, Java, Go, Rust, Elixir… they are truly polyglot‑friendly (whatever the tech)
If you’re a great engineer with strong fundamentals, you’ll be considered! Tech Stack is not a gatekeeper.
- Ability to lead delivery across several squads (from a technical perspective)
- Experience mentoring engineers
- AI/ML or computer vision exposure
- GraphQL, streaming systems, or distributed systems experience
- Background in performance, video, analytics, or sports tech (not required)
Work style
- London office but open to remote/ flexibility
- High trust, ownership‑driven environment
- Engineering deploys constantly
- Teams operate with autonomy, experimentation, and continuous improvement
- Work across ~5 squads, each with significant ownership
Compensation
- 7.5% bonus
- $20,000 annual equity grant
- Full flexibility, zero micromanagement, and a mature engineering culture
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