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foundermatcha

Founding Engineer | Computer Vision / Spatial AI | Sports Intelligence | London | Meaningful Equity

England
Posted about 20 hours ago
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About the Role

We’re helping an ambitious London-based founder hire a Founding Engineer / future technical leader for an early-stage AI company building the intelligence layer for professional sports.

The founder is a former professional basketball player with a background spanning neuroscience, AI and machine learning, and is building technology designed to fundamentally improve how professional teams scout, recruit and analyse athlete performance.

There is already technical capability around the business, so this is not simply about finding another engineer. The priority is finding someone with deep technical ability who is excited by the problem and can help shape the underlying technology alongside the founder.

This is a highly hands-on founding role with significant scope to grow into a long-term technical leadership position.

The Product

The company is building contextual analysis and spatial AI for professional sports teams.

The technology combines computer vision, machine learning and AI to extract previously difficult-to-measure contextual information from sports footage.

Over time, this could extend into areas including 3D spatial reconstruction, robotics and potentially hardware, creating a much deeper intelligence layer around athlete scouting, recruitment and performance.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Responsibilities

  • Help design and build the core computer vision and spatial intelligence technology
  • Develop models capable of extracting meaningful contextual information from video and movement data
  • Work on player tracking, spatial relationships, movement and temporal analysis
  • Build and fine-tune machine learning / AI models for highly specialised sports use cases
  • Explore techniques for reconstructing spatial and potentially 3D information from 2D footage
  • Work directly with the founder to turn ambitious research ideas into working products
  • Help define the company’s technical architecture and longer-term research direction
  • Remain highly hands-on as the company develops its first generation of technology

You Are

  • Strong in computer vision and machine learning, with meaningful hands-on experience building real systems
  • Comfortable working with video, tracking, spatial data or related perception problems
  • Interested in problems involving movement, positioning, trajectories and temporal relationships
  • Entrepreneurial and excited by solving an ambitious technical problem from an early stage
  • Comfortable operating with ambiguity and helping define the solution rather than waiting for a detailed specification
  • Interested in sports, spatial intelligence, robotics or human performance, direct sports experience is useful but not essential
  • Based in the UK or EU.

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What We Offer

  • Meaningful equity and the opportunity to become a key early member of the company
  • Significant ownership over the technical architecture, models and research direction
  • A genuine path toward senior technical leadership as the company grows
  • The opportunity to build at the intersection of computer vision, spatial AI, professional sport and human performance
  • A founder with first-hand professional sports experience alongside technical and neuroscience expertise

About foundermatcha

foundermatcha connects ambitious startup founders with high-potential engineers, technical leaders and future co-founders.

Applicants complete a short AI-led interview covering technical background, motivations, working style and suitability for the opportunity.

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Location

England, United Kingdom

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