Deployment Strategist

• Location: San Francisco, CA
• Work Model: Onsite (fully in-person)
• Industry: AI for insurance and claims

About the Company

Our partner is a hyper-growth AI startup working in insurance and claims. The business is growing roughly 50% month over month and reached multi seven-figure ARR within its first year. The team is small, technical, and building fast.

The Opportunity

This is a deployment role for someone who is genuinely technical and genuinely good in front of executives, which is a rarer combination than it sounds. You will lead war rooms with demanding enterprise stakeholders and then go straight into the underlying data models to make the implementation actually work. The role exists because deployments are the constraint on growth, not because there is a function to slot into.

The function is being built, not staffed. You would be defining how enterprise implementations run here rather than executing someone else's process, which means the work is unusually formative and unusually exposed.

Responsibilities

• Own enterprise deployments end to end, from kickoff through production
• Lead war rooms with senior, demanding stakeholders up to VP level
• Work directly in technical data models to resolve implementation problems
• Break complex implementations into clear, sequenced execution plans
• Build the deployment function's processes and standards from scratch

Requirements

• Two to five years in roles combining technical depth, structured problem solving, and client ownership
• A genuinely technical background, such as a CS or similarly technical degree or early software engineering experience
• Consulting, deployment, solutions, or implementation experience in a high-performance environment; startup experience preferred
• Exceptional communication and client presence with senior stakeholders
• Strong structured thinking, with the ability to decompose complex work into executable plans
• High agency, a steep growth trajectory, and based in San Francisco for an in-person role