Client Deployment Lead, AI (EMEA)
Key Skills
Job Description
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
Core Responsibilities
You will lead the end-to-end deployment of AI platforms at client companies, managing the process from discovery through to go-live and adoption. This involves collaborating with executive sponsors and engineers to redesign operating models and drive measurable efficiency improvements.
Requirements
Candidates should have 7-10 years of experience in transformation or implementation programs with strong stakeholder management skills. A STEM degree or relevant technical experience is required, along with comfort in technical concepts like data models, APIs, and LLM tools.
Benefits
- Competitive base compensation
- Performance-based bonus