Internship Fintech Startup Jobs (NOW HIRING)

San Francisco, CA · On-site · Full-time
Compensation: $130,000–$190,000 + competitive equity

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

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).

• 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

• 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.

• 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.

• 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

• 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