Head of AI

Salary: £100,000 - £110,000

Why Midnite? 

Midnite is a next-generation betting platform that is built for today’s fandom. We are a collective of engineers and designers who all share a passion for building the best sportsbook & casino experience possible, allowing our fans to feel closer to the games they love through the rush of winning money. 

Unlike the alternatives, Midnite doesn't feel like a website built two decades ago. Instead, it's a cutting-edge creation, designed and constructed from the ground up with the latest technology. Crafting an experience that's truly intuitive, immersive, and immediately understandable is no walk in the park, but we thrive on the challenge. We believe we're on the brink of creating something truly awesome.

We recently raised a $35m series C funding round and are experiencing exponential growth. We see our adoption of AI as a key strategy in scaling efficiently and going on to win the market.

What we're looking for

We’re looking for a Head of AI to lead our company’s AI strategy, delivery, and adoption. This is a hands-on leadership role for someone who can operate comfortably between strategy and execution, shaping our AI direction at leadership level while also building and enabling practical solutions across the business.

You’ll work closely with our founders and leadership team to identify where AI can create real leverage in a fast-growing, regulated environment. You’ll lead a small AI delivery team, build internal tools and foundations, and act as the internal advocate helping teams across the company confidently adopt AI in their day-to-day work.

This role is about impact, not experimentation for its own sake, turning AI into measurable efficiency, quality, and cost improvements. It would suit someone who’s already advocating for and building with AI daily and wants to transition into a full time AI-focused role where they can drive industry-leading adoption.

Your background and experience

We don’t expect you to already have “AI” in your job title or be deeply technical yourself. You might have a product management or operational background, or something else entirely. However this is a leadership role and as such we’ll expect several years of experience both driving work and leading strategic projects.

Some things we’d love to see evidence of:

• Deep knowledge about the AI landscape around us - you know the relative strengths of the foundation models and have a good sense of where the technology is heading.
• Experience building or scaling (non AI) internal tools, platforms, or workflows with measurable impact.
• Hands-on experience using modern AI tools and APIs in real work - both for yourself and those around you.
• Comfort shaping ambiguous problems and prioritising by impact over novelty.
• Experience leading small teams or cross-functional initiatives and working with senior stakeholders.
• Curious, pragmatic, and confident sharing and learning in public as the space evolves.

What You’ll Do

Lead AI Strategy & Vision

• Partner closely with the founders and leadership team to define our AI goals, roadmap, and execution plan.
• Translate business priorities into focused, high-impact AI initiatives.
• Set principles and guardrails for responsible, pragmatic AI adoption in a regulated environment.

Drive Building & Delivery

• Work closely with a small AI enablement team of engineers to unlock AI adoption company-wide.
• Prioritise and oversee the design and development of internal AI-powered tools and workflows.
• Own “build vs buy” decisions and delivery from concept through to impact.
• Stay current on AI tooling, APIs, models, and patterns, and assess what’s relevant now vs later.

Enable Adoption & Advocacy

• Lead our internal AI Champions group and support teams with real implementations.
• Act as the internal champion for AI, helping teams across the business adopt and experiment safely.
• Run workshops, office hours, and hands-on training sessions.

Measure Impact & Outcomes

• Define and track meaningful metrics: adoption, engagement, efficiency gains, cost savings, SaaS spend avoided, and sentiment.
• Communicate progress, outcomes, and learnings clearly to the leadership team.

What a Typical Day Might Look Like

• Aligning with the founders on near-term AI priorities.
• Reviewing progress and clearing blockers with your AI enablement team.
• Running a practical AI session with product, ops, or customer teams.
• Reviewing adoption and impact metrics.
• Testing or evaluating new AI tools and integrations.