📍 Remote (Global) 🌐 www.clutchapp.io


About Clutch

Clutch is on a mission to build a global community for racket sports players - powered by an AI camera infrastructure that helps players re-live their best moments on court and track their progress with game analysis.

Our initial focus is padel, the fastest growing sport in the world. We've spent the past year designing and building our own camera, the Clutch Cam, and we've proven the product works in the field - with presence in over 100 clubs across the US, Europe, and the Middle East. Now we need to make the AI bulletproof at scale.

We're a small, ambitious, and fully remote team - and we plan to keep it that way for the foreseeable future.


About the role

We're looking for a technical leader to own and evolve our AI pipeline and join us on our mission to build a global racket sports community. As Clutch's Head of AI, you'll be our first dedicated AI hire - which means real ownership, real impact, and equity in a company at an exciting stage of growth.

Our current pipeline runs on GCP and processes video in real time from the Clutch Cam, our custom-built camera hardware. You'll be working on some genuinely hard problems: player tracking and re-identification, shot classification, and ball tracking - the ingredients behind both automated video production and game analysis.

You'll own the full ML lifecycle. That means building and maintaining real-time video understanding pipelines, optimizing models for low-latency inference on cloud infrastructure, and managing everything from dataset design and annotation workflows to model versioning, model cards, and production monitoring. You'll set the technical direction for AI at Clutch, and as the team grows - likely from next year - you'll help shape who we bring on and how we work.

This is a hands-on role right now. We're looking for someone who thrives in that environment: someone who can go deep on a hard CV problem in the morning and think about pipeline architecture in the afternoon. And if you play padel, tennis, or any racket sport yourself - you'll feel the impact of your work every time you step on court.

In your first 6 months, you'll focus on establishing industry standards for continuous annotation, evaluation, training, and testing of our pipeline - building the ML infrastructure from the ground up.


Compensation

€70,000 – €100,000 depending on experience and location, plus equity.


Hiring process

A few conversations and a technical challenge. We keep it straightforward and respectful of your time.