Client Deployment Lead, AI (Europe market)
RemoteLondon, England, United Kingdom or Amsterdam, North Holland, The Netherlands
Job Summary
Client Deployment Lead for Valis (AI platform) to drive an AI-native transformation for mid-market clients in Europe. Own the CEO relationship and executive steering, run transformation cadences (weekly reviews, finance-verified value reviews, quarterly business reviews), and deliver rapid initial wins on real client data before guiding full rollouts. Translate client problems into crisp, build-ready specifications for remote engineers, own adoption, sign-off, and a finance-verified outcome visible in the client’s P&L. Build a portfolio of marquee CEO relationships, manage end-to-end rollout from kickoff to handover, and codify methods to reduce ramp-up for future deployments. Requires a track record of delivering tangible outcomes, comfort operating with ambiguity, and on-site collaboration with clients; located in London, Paris, Amsterdam, or Lisbon with on-site presence during deployments.
Required Qualifications
- Based in any of these locations: London, Paris, Amsterdam, Lisbon
- Your local CEO and founder network is a core part of what you bring to this role
- A track record of owning real outcomes — you have moved a P&L or shipped a transformation, not just advised on one
- CEO-room presence: ability to sit across from a mid-market CEO as a peer and earn organisational trust quickly.
- Technically literate enough to prototype, spec work, and direct engineers — you shape the solution, you don't wait for one
- You thrive in ambiguity — operating effectively with incomplete information, shifting requirements, and no fixed playbook
- Willing and energised to be on-site with clients (~30–60% of your time)
- Likely background: top-tier strategy firm (Engagement Manager → Associate Partner level) or a proven in-house transformation operator
- Hands-on experience with AI / data tooling is a strong plus
- Benefits
Desired Qualifications
- Bachelor's Degree (suggested)
- Mid-Senior level experience
- Experience in AI/data tooling
- Experience owning P&L or transformation
- Strong executive relationship management (CEO-level)
- On-site client delivery experience
- Proven ability to translate client problems into build-ready specs
- Ability to prototype and direct engineers
- Comfort operating in ambiguity
- Full-time, full lifecycle deployment experience
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