High autonomy and real ownership: everyone owns outcomes end-to-end and makes product decisions.
Founding Product Engineer
San Mateo · Hybrid$160k – $250k + EquityNo Visa Sponsorship
About this role
We are looking for a Founding Product Engineer with 7-10 years of experience to join a seed-stage, AI-native startup tackling a massive underbuilt corner of the insurance world. You'll be a builder with true ownership: not just implementing features off a backlog, but deciding what's worth building and why. The founders bring 20+ years of engineering and AI leadership across high-stakes domains, combined with senior insurance leadership through scale and IPO. This is a long-term journey building something complex and impactful, with the reward of shaping a product from the ground up in one of the largest, least automated parts of the economy.
What will you be doing?
Working across the full stack (Python/FastAPI backend, TypeScript/React frontend) to build and ship AI-powered products end-to-end
Making architectural and product decisions autonomously
Operating in a flat, fast-moving team where you own outcomes and iterate quickly in a complex, regulated domain
Company at a glance
InFrame Risk is a seed-stage AI-native startup that automates pricing and risk management for commercial insurance, aiming to become the industry’s foundational platform. Backed by top firms, it blends insurance expertise with engineering under founders Daniel Blanaru and Ohad Schwarzberg.
IndustryInsurance
Team Size1-10
WorkspaceHybrid
Founded2026
Location
San Mateo, CA, USA
Websiteinframerisk.com
Culture & values
Constant evolution: work practices adapt as AI tools evolve, with curiosity and a try-and-fail mindset valued alongside skill.
Sustainable pace: Monday through Thursday in-office in the Bay Area, Fridays from home, with a focus on avoiding burnout.
Small, tight-knit team led by two founders with complementary engineering/AI and insurance go-to-market backgrounds.
Engineers work alongside domain experts daily, enabling close collaboration between technical and industry expertise.
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