Founder CTO

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:

• Frontend: React, Angular, JavaScript, Tailwind, TypeScript, WebGL,
• Backend: Supabase, Aws, Postgres, Node.js or equivalent real-time stack
• C++ for simulation, telemetry parsing, or performance-critical modules

++Real-Time Data Handling

• Ingesting, syncing, and storing high-frequency time-series data
• Structuring data for live querying and parallel access
• Managing latency, precision, and throughput across platforms

++Data Visualisation

• 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

• Python, PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, XGBoost
• 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

-dimensional data visualisation

• Familiarity with e

Sports 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

Responsabilities

• 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