Client Deployment Lead, AI

TheSoul Group

. Own the client relationship through to the CEO and executive steering committee .

Posted 10/16/2026full-timeRemote • France, United Kingdom, Netherlands, Portugal, Germany, HungarySeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in client relationship management and transformation deployment, with a strong focus on measurable business outcomes and hands-on experience in AI building and automation. Proven ability to lead cross-functional teams and manage multiple client engagements effectively.

Highest-signal resume keywords

Client Relationship ManagementTransformation DeploymentAI BuildingProject ManagementStakeholder Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI BuildingAutomationData Workflow PrototypingPlatform ConfigurationDeployment Method Codification

Soft Skills

Organizational TrustAdaptabilityLeadershipCommunication

Industry Keywords

Engagement ManagerP&L ManagementMid-Market CEO EngagementRemote Client EngagementStrategy Firm Experience

About the role

Key responsibilities & impact

Own the client relationship through to the CEO and executive steering committee
Run weekly reviews, monthly value reviews against the agreed baseline, and quarterly business reviews
Drive a fast, fixed-scope first win on real client data
Lead the full rollout end to end, from leadership adoption through wider-team adoption, sign-off and handover
Configure the platform, assemble automations and agents, and prototype against real client data
Specify and direct remote engineers for deeper platform work
Be accountable for measurable business results against a kick-off baseline confirmed by the client
Manage 2–3 concurrent client engagements as deployments mature and stabilise
Codify the deployment method after each engagement

Requirements

What you’ll need

Based anywhere in EMEA, working remotely, with regular on-site travel to clients (~30–60% of your time)
7–10 years as a senior individual contributor — Engagement Manager level at a top-tier strategy firm, or a proven in-house transformation operator who has run deployments themselves rather than overseen them
Track record of owning real outcomes, including moving a P&L or shipping a transformation end to end
Ability to identify a specific result, how it was measured against a baseline, and who on the client side signed it off
Hands-on AI building: personally build agents, automations and data workflows and prototype against real data
Credibility with a mid-market CEO and leadership team
Ability to earn organisational trust quickly
Ability to operate effectively with incomplete information, shifting requirements, and no fixed playbook

Benefits

Comp & perks

A competitive base calibrated to your market and seniority, plus a performance bonus tied to delivered outcomes
Real decision rights and an interim-executive mandate inside the client where granted
Remote within EMEA, on-site with clients during active deployments (~30–60%)
The role's value compounds in leverage as the platform gets stronger