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AI. Real-time data. Sport performance analytics
We’re looking for a technical co-founder (CTO) to join a pre-seed motorsports tech startup building the future of performance analytics through AI, real-time telemetry, 3D visualisation, and intelligent feedback systems.
The product vision, brand, prototype, and go-to-market foundation are already in place. We’re seeking a hands-on technical partner to fully own the engineering stack and help bring the product to life.
This is a builder role — ideal for someone who thrives in early-stage environments, enjoys solving hard technical problems, and wants true ownership of the tech side of a high-potential venture.
Previous startup experience is a plus, particularly if you’ve contributed to fundraising, investor relations, or pitch development, and bring an understanding of commercial strategy, go-to-market execution, or user acquisition. We’re looking for someone eager to help shape both the product and the business.
Who you are
You’re a senior engineer with more than 10 years of experience or a former CTO, ideally with experience in sports, fitness, simulation, or performance-based platforms. You know how to go from 0 to 1, shipping fast and scaling smart. You’re familiar with agile practices and are a self-starter who fills gaps as needed, technical or otherwise.
Core Skills
++Strong across:
* Backend: Supabase, AWS, Postgres, Node.js or equivalent real-time stack
* C++ for simulation, telemetry parsing, or performance-critical modules
* Ingesting, syncing, and storing high-frequency time-series data
* Structuring data for live querying and parallel access
* Managing latency, precision, and throughput across platforms
* Building intuitive visual layers: graphs, timelines, spatial tracking
* Real-time overlays and comparisons for simulation or coaching contexts
* Translating raw telemetry into actionable visuals
* WebGL for spatial data representation
++AI/ML Experience
* Hugging Face Transformers, OpenAI fine-tuning, Anthropic Claude, custom LLM training
* Skilled in data labelling, embedding generation, prompt design, and model evaluation
++ Nice to Have
* Experience with XR and real-time 3D engines like Unity, Unreal, Godot
* Exposure to spatial computing, 3D telemetry mapping, and three
* Familiarity with eSports and simulation racing.
What you will build
* A scalable real-time data engine for ingesting and visualizing telemetry
* A trainable AI assistant that contextualizes performance data in natural language
* Interactive tools to compare time-series and spatial performance metrics
* A system for training, deploying, and improving custom ML/LLM models
* A modern backend and frontend stack supporting live sessions and intelligent feedback
Responsibilities
* Fully own the technical architecture and infrastructure roadmap
* Build core systems for real-time data ingestion, storage, and querying
* Set up AI pipelines for LLM integration, fine-tuning, and inference
* Design modular, testable components optimized for performance
* Collaborate on product roadmap, GTM, and investor readiness
* Establish a fast, focused, and accountable engineering culture
Commitments & Terms
* Generous equity with milestone-based vesting
* No salary initially (pre-seed stage)
* Looking for a hands-on, committed co-founder — not an advisor or consultant
* 1-week trial sprint to validate fit
* Remote-first — EU or US time zones preferred
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