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Client Deployment Lead, AI (EMEA)

Valis • 3 days ago
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Salary
≈ $132k – $288k per year (Estimated)
Location
Remote (EMEA)
Seniority
Staff · 7+ years exp
Employment
Full-Time

First seen by Alion on Oct 22, 2026.

Overview
Company
Impact
Profile match

Valis

Valis connects your strategy, systems, meetings and numbers — and ships AI that finally works at company scale. Answers with sources in minutes, a morning brief, and the recurring reports done overnight, from the systems you already run.
valis.so • Token Launch Platforms • Office & Productivity Software • LLM & Generative AI
Tech stack of Valis

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

Requirements

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

Benefits

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

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