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