Kraken is hiring a (Senior) Program Manager, AI Transformation to join its London on-site team, reporting to the AI Transformation Director Nina Möger. You’ll run the PMO, SteerCo prep, and regular programme-health reporting while governing six parallel workstreams spanning engineering velocity, enablement, knowledge infrastructure, data governance and client‑facing AI products, coordinating across People, Engineering, Product and Enablement to resolve dependencies. You’ll own budget, staffing, reporting and KPIs, track token costs, adoption rates, cycle-time reductions and the automation of manual workflows, and partner with data privacy and compliance SMEs to safeguard client trust. The ideal candidate is hands-on, MVP‑oriented, comfortable with ambiguity, capable of leading a global, distributed team, and based in London or Paris. To apply highlight large-scale programme delivery, AI fluency, stakeholder alignment and a bias for practical v1s over perfect v2s; resume in English; note visa sponsorship is not available.
For ten years, Kraken has been transforming how the world's energy companies operate. We've migrated utilities off legacy systems onto our platform, changed how they run their businesses from the ground up, and helped drive the energy transition. Over 90 million households are already contracted to run on Kraken. Our goal is to impact the lives of 1 billion people.
We are applying the same ambition to how we work.
Kraken's own AI Transformation is setting sail to multiply our impact for all clients. The programme has full executive sponsorship and six workstreams running in parallel: engineering velocity, company-wide enablement, knowledge infrastructure, client-facing AI products, data governance, and risk management. The goal is a company where AI isn't a side tool; it's how we work, and where that translates directly into faster migrations, better client outcomes, and a bigger green dent.
You'll work directly with our AI Transformation Director Nina Möger and be the operational quarterback of the programme. In practice, that means:
Setting up and running the PMO: SteerCo prep, regular reporting on programme health, workstream governance
Coordinate and mobilise across People, Engineering, Product and Enablement to resolve dependencies and keep execution moving
Owning budget, staffing, reporting and KPIs across all workstreams
Tracking what we need to know: token costs, adoption rates, cycle-time reduction, manual workflow automation
Working with the SME working group on data privacy, client trust and compliance
Making sure "now", "next" and "later" projects don't collapse into one lane
You run things. Coordinating and reporting is part of it; it's not the whole job.
In sum, you will have a front-row seat to running an AI transformation for a fast-paced tech company with more than 2,000 people and full executive buy-in. You'll be working at the intersection of AI tooling, engineering velocity and organisational change, at a company that moves fast and wants to move faster.
It’ll be a lot of fun.
To love this job and thrive at Kraken…
You are hungry, humble and smart.
You're hands-on, MVP-oriented, and wired to get things done.
You are organised and can organise others.
You are comfortable with ambiguity: we're growing fast and some things get figured out as you go.
You are good at working across a global, distributed team.
You are optimistic and resilient under pressure.
You can come from any background. What matters is that you're an AI power user: someone who uses it, has opinions about what's worth the hype, and tries something new every time it crosses your radar. You stay on top of what's changing because you find it interesting, not because it's in your OKRs.
You're optimistic about what AI can do for organisations and you have the patience to bring sceptics along. You also know the difference between a transformation that actually works and one that just produces a lot of decks.
You're based in London or Paris.
Proven experience managing large-scale, complex programmes with technical and cultural workstreams
Enough AI fluency to hold your own in discussions with engineering and product teams: LLMs, agentic workflows, AI infrastructure are not new territory
Ability to understand executive stakeholders, build consensus on priorities and make progress without waiting for everyone to be on board
Experience running parallel workstreams in fast-paced environments, with a bias towards useful v1s over perfect v2s
Strong belief in what Kraken is doing