Software Engineer
Posted 1 hour ago USD 150,000 - 250,000 / year
San Francisco, CA
An AI-native insurance platform that automates the entire claims process — from intake and fraud detection through settlement — helping insurers resolve claims faster, more accurately, and at lower cost. In under a year the company reached multi-seven-figure ARR, is growing roughly 50% month over month, and is backed by top-tier venture funds. The team is scaling quickly toward 100 people.
Founded 2025
Own and build the core technical infrastructure of an AI-native insurance platform. You deploy to production on day one, take full responsibility for your code, and operate with extreme ownership from the start. This is not a role where you wait for a spec — you create it, figure it out, and build it. From month one you are expected to be agentic and self-directing, with a path to a technical leadership role within about a year.
What You'll Be Doing
Requirements
- On-site
- Full-time Compensation: $150,000–$250,000 + 0.1%–0.3% equity
An AI-native insurance platform that automates the entire claims process — from intake and fraud detection through settlement — helping insurers resolve claims faster, more accurately, and at lower cost. In under a year the company reached multi-seven-figure ARR, is growing roughly 50% month over month, and is backed by top-tier venture funds. The team is scaling quickly toward 100 people.
Founded 2025
- :25 people (11 engineers)
- Industry: FinTech / Insurance
Own and build the core technical infrastructure of an AI-native insurance platform. You deploy to production on day one, take full responsibility for your code, and operate with extreme ownership from the start. This is not a role where you wait for a spec — you create it, figure it out, and build it. From month one you are expected to be agentic and self-directing, with a path to a technical leadership role within about a year.
What You'll Be Doing
- Ship to production from day one and take full responsibility for your code
- Own and build core infrastructure, databases (PostgreSQL, vector databases), and architecture
- Create specs, design systems, and build features end-to-end without heavy direction
- Scale the existing codebase to support rapid growth across a complex insurance platform
- Work directly with the founding team in a high-intensity, high-ownership environment
- Help hire your next teammate and contribute to the engineering culture as the team scales
Requirements
- 2+ years backend development experience
- Strong Python and production-grade code shipping track record
- PostgreSQL, vector databases, and core system design ownership
- REST, GraphQL, GCP, AWS, Docker fluency
- High agency and extreme ownership mindset
- Based in or relocating to San Francisco
- Raw intelligence signal: IOI, ICPC, NeurIPS, Putnam, or equivalent, this is the clearest indicator of the abstract thinking the company needs
- Background at Optiver, DRW, Citadel, Jane Street, or equivalent high-signal firm
- Has been a CTO, founding engineer, or early engineer at a startup, understands what extreme ownership actually means
- Exceptional new grad with a top-tier internship at Optiver, Jane Street, or equivalent
- Has shipped production-grade systems fast and takes full responsibility for their code
- Agentic problem solver, does not wait for direction, identifies what needs to be built and goes and builds it
- No raw intelligence signal and no high-signal internship or company background
- Needs heavy specs and direction before executing, this role requires someone who writes the spec
- Only worked in large companies with established engineering processes and no founding or early-stage experience
- Weak Python or backend fundamentals, these are non-negotiable
- Not based in or willing to relocate to San Francisco, fully in-person is required
- Top-quartile salary and equity
- Full relocation support; all meals and productivity tools/software covered
- Own core systems with direct impact, working alongside the founding team
- Clear path to a technical leadership role as the team scales
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