AI Strategist

Requirements

• This role requires a curious and analytical approach, the ability to identify valuable problems to solve, strong product instincts, and a deep commitment to customer success
• Experienced in complex, client-facing work:
  You've led projects, managed stakeholders, and delivered results in AI, technology consulting, or a fast-moving enterprise environment
• A strong communicator:
  You can hold a room with a CTO and sit down with an ops team to understand their daily frustrations. You adapt without losing your point of view
• Genuinely curious about how things work:
  You embed yourself in customer workflows until you understand them better than the people doing them. You ask the second and third question, not just the first
• Comfortable with ambiguity:
  You can walk into a complex situation, cut through the noise, identify what actually matters, and build a path forward
• Optimistic about AI:
  Not naively, but with a grounded belief that applied AI can genuinely transform how organisations work, and the drive to prove it
• Technical enough to be dangerous:
  You're comfortable with Python, SQL, or similar tools. You don't need to be an engineer, but you need to be able to work shoulder-to-shoulder with one
• Willing to travel:
  Expect 25–75% travel, varying by engagement

• As an AI Strategist, you'll be the project lead on customer engagements — pairing with a technical lead to drive teams of engineers and researchers toward solving the problems that matter most to our clients
• You own business outcomes. You earn trust. You see engagements through from the first discovery conversation to measurable, lasting impact
• As our first hire in London, you'll also play a meaningful role in shaping how Distyl shows up in the UK market
• Earn Customer Trust:
  You'll be Distyl's primary relationship owner — credible with end-users, compelling with C-suite stakeholders, and trusted by both
• Own Engagements End-to-End:
  You'll start by getting to grips with a customer's world — their workflows, their pain points, the gap between where they are and where they want to be
• You'll identify where AI can make a genuine difference, scope a meaningful project, and lead your team to deliver it with precision. Delivery isn't the finish line; adoption and impact are
• Lead Cross-Functional Teams:
  Working alongside a technical lead, you'll direct engineers and researchers to move fast and stay focused. You'll keep the team anchored to outcomes, not just outputs
• Navigate Enterprise Data:
  Real enterprise data is messy. You'll know how to find the signal, understand the constraints, and design for reliability — not just accuracy in ideal conditions
• Drive User Adoption:
  Getting a system built is one thing. Getting people to use it, trust it, and rely on it is another. You'll own that challenge — onboarding users, gathering feedback, and iterating until the product genuinely earns its place in their workflow
• Feed the Product
  
  Roadmap:
  
  You're on the front lines. You'll surface what customers actually need, translating real-world friction into product improvements that make Distyl better for everyone