Client Deployment Lead, AI (EMEA)

Valis

United States

À distance

USD 140 000 - 230 000

Plein temps

Il y a 7 jours
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Résumé du poste

Valis is seeking a Client Deployment Lead, AI to own platform deployments at client companies—driving AI transformation from discovery through go-live and adoption. You will work with client leadership and a forward-deployed engineer to deliver measurable improvements in efficiency and processes.

You should have 7–10 years of end-to-end transformation or implementation experience, strong stakeholder management, and a solid technical fluency (data models, APIs, integrations, LLM tools).

Qualifications

  • 7–10 years of experience in transformation or end-to-end implementation programs you ran
  • 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

Responsabilités

  • 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

Connaissances

Stakeholder management
Transformation programs
Change management
Project leadership
Technical fluency with data models
APIs and integrations
LLM tools and agents
Bias for action
Readiness to start soon

Formation

STEM degree or relevant technical experience

Outils

APIs
LLM tools
Integrations
Data models

Description du poste

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

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