Client deployment lead, ai (emea)

Valis

Client deployment lead, ai (emea)

2 hours ago

Valis

remote, AngolaFull TimeLead / Manager

Required skills

AI transformationChange managementProject managementStakeholder managementData modelingAPIsIntegrationsLLM toolsAgentic automationProcess miningStrategic planningTechnical consultingDeployment strategyBusiness efficiencyLeadershipWorkflow mining

About us

We are Valis - a company building an institutional AI operating layer for mid-market companies: shared company memory, workflow mining and agentic automation.

Role overview

As a Client Deployment Lead, AI, you own the deployment of our platform at client companies, turning a CEO's AI ambitions into measurable change in company efficiency.

You lead each engagement from discovery through go-live to company-wide adoption, working with the client's leadership team and a forward-deployed engineer. The role suits people who have run transformation programs, are comfortable with technology and want to work at startup speed.

What you'll do

  • Lead discovery and map how the client company works: structure, processes, decisions, data
  • Scope deployments, success metrics and timelines with the executive sponsor
  • Run delivery with a forward-deployed engineer and get the client live fast
  • Drive adoption across leadership, employees and core processes
  • Help the CEO with AI transformation: what to automate, what to redesign, how the operating model changes, how to overcome resistance and friction and implement real change
  • Identify new use cases that expand adoption and value
  • Turn what works into playbooks that make each deployment faster than the last

What we're looking for

  • 7-10 years of experience, including transformation or implementation programs you ran end to end
  • Ability to independently manage multiple stakeholders and get things done in complex projects
  • Strong organization, project and change management skills
  • Experience working with C-level stakeholders or founders
  • Comfort with technical concepts: data models, APIs, integrations, LLM tools and agents
  • High agency, strong bias for action and interest in AI products
  • STEM degree or relevant technical experience
  • Readiness to start soon

Nice to have

  • Background in top-tier management or technical consulting/implementation, high-growth startups
  • Hands-on AI implementation

We offer competitive base compensation, performance-based bonus and a place on the first team of a new function.