Full job description
San Francisco, CA · On-site · Full-time
Compensation: $130,000–$190,000 + competitive equity
About the Company
An AI-native insurance platform automating the full claims process — intake, fraud detection, and settlement — helping the world’s largest insurers handle claims faster, more accurately, and at lower cost. In under a year the team has reached multi-seven-figure ARR with roughly 50% month-over-month growth. Early-stage and venture-backed by tier-one funds, with a team drawn from leading trading firms, hyperscalers, and top university AI labs.
Founded 2025 · 11–50 people · Industry: FinTech / Insurtech / Applied AI
The Role
Own the hardest job in AI-native services: enabling mission-critical AI to work for the world’s largest insurers. You’ll live inside carrier environments, owning the intersection of technical architecture and executive alignment — leading war rooms of demanding executives one moment and diving into a data model the next. The interview process has no technical rounds, but you do need to be genuinely technical, highly structured, and credible with senior client stakeholders.
What you’ll be doing
Own multiple client deployments from post-sale design through go-live and stabilization, as the single point of contact for VP-level stakeholders
Work with client teams on architecture, data models, workflow design, and source-of-record decisions
Turn messy client reality into clear plans — milestones, owners, risks, dependencies, cadence — and communicate progress and blockers to client executives and internal engineering with equal precision
Build trust with senior stakeholders while going deep with operators and technical teams
Coordinate daily with engineering and sales, translating client needs into engineering priorities and deployment context into deal strategy
Partner with Sales on late-stage deals to shape scope and create expansion paths
Help write the playbook, standards, and operating rhythm for scaling deployments
Tech stack: Not applicable — non-coding role (must hold technical conversations with client and internal engineering teams).
Requirements
2–5 years technical + client-facing ownership
Exceptional executive client presence
Structured thinker, owns end-to-end execution
Technical literacy (CS background or SWE internship)
High agency, founder-mode operator
SF in-person
Green Flags
Strong client presence with senior executives. Can walk into a war room of seven-figure insurance executives and earn their trust without sounding scripted.
Top-tier consulting background (MBB or equivalent) with a CS or technical degree.
Deployment / solutions / implementation experience at Palantir, Scale, Databricks, or a similar high-performance environment.
Early GTM hire at a high-growth AI startup with a CS background.
Charismatic communicator who is also genuinely technical. Can pivot mid-conversation between executive narrative and a data model question without losing either room.
Red Flags
Comes off scripted or canned in conversation. The role requires real charisma
Pure consultant with no technical foundation. Unable to speak CS jargon or hold a conversation with engineering team
Pure technical operator with weak client presence. The role is half client management — pure backend or implementation engineers without comms strength will not survive the role.
Career deployment / solutions person from a polished, mature function. The company is building the function from zero — candidates looking for a structured environment will struggle.
Cannot or will not relocate to SF. Non-negotiable, even with full relocation support.
Why Join
Lead deployments at major insurers and Fortune 500s
Work in person in San Francisco with a fast, ambitious team
Full relocation support and all meals covered
High-growth trajectory with tier-one backing
Details
Location: San Francisco, CA
Work policy: On-site (full relocation support provided)
Compensation: $130,000–$190,000 + equity
Visa sponsorship: H-1B
Employment type: Full-time
