Founding Software Engineer

This is a rare opportunity to become the founding engineer for an AI-native company attacking a multi-trillion-dollar market that has not been meaningfully digitized in decades. You will work directly with a repeat founder, own the technical foundation, and build the operating layer that can make commercial insurance more transparent, data-driven, and software-native. Largest pre-seed in insurtech history context: Backed by $8M at pre-seed for an ambitious infrastructure opportunity. Distribution from day one: The company has access to more than half of the target market at launch. AI-native from the start: The platform is being designed around modern data access, API orchestration, document reasoning, and agentic engineering workflows. Founder-market fit: The founder is a 3x successful founder who built and scaled a highly successful $500M platform in this space, was previously recognized on the Forbes 30 Under 30 list, and deeply understands the buyer, workflows, and market structure. Massive market timing: Commercial insurance remains a multi-trillion-dollar market still powered by fragmented data and manual renewal processes. This is a founding-stage role with the scope to match. You will architect and ship the systems that turn unstructured insurance data into one of the largest datasets of its kind, with real ownership over the technical direction of a company that already has distribution lined up. You will work directly with the CTO, an experienced engineering leader from a top-tier data and analytics company, and a small founding engineering team that is actively growing. The role is hands-on and high-agency, suited to someone who wants to put up real reps on hard problems and own outcomes end-to-end. About the Role This is a founding engineering hire with real scope from day one. You will join a small, senior team that ships fast and own a meaningful slice of the systems that turn unstructured insurance data into one of the largest datasets of its kind. You will work directly with the CTO, an experienced engineering leader from a top-tier data and analytics company, and a founding engineering team that is actively growing. The role is hands-on and high-agency, built for someone early in their career who is already battle-tested at an early-stage company. You want to put up real reps on hard problems, ship constantly, and grow into outsized ownership as the team scales. Responsibilities Data ingestion and enrichment: extracting structured data from heterogeneous, document-heavy sources (policies, schedules, loss runs) and joining it against 100+ external datasets. AI-native underwriting and risk modeling: building the models and workflows that turn that data into pricing intelligence and placement decisions. Owner-facing product: the surfaces where customers organize, analyze, and act on their insurance portfolios. Qualifications An engineer early in their career who is genuinely excited about what AI unlocks in a domain that has resisted digitization for decades, and who is hungry to build something that hasn’t been built before. 2+ years of engineering experience, with a bias toward shipping and a track record of getting real product out the door. Real startup reps. You have been a founding or early engineer, or on a small team where the scope was undefined and there was no one above you to explain to. Time at an early-stage company that did not ultimately make it still counts. Strong full-stack range, comfortable moving between backend, infrastructure, and product surfaces. Comfortable with data-heavy systems: APIs, pipelines, async workflows, enrichment, and the messy work of making real-world unstructured data usable. Builds with modern AI tooling by default and uses it to ship more in a week than most engineers ship in a month. High energy, high ownership, and genuinely eager to build at a startup. We care more about how you think and how fast you ship than about your specific stack or industry background. Required Skills Strong full-stack range, comfortable moving between backend, infrastructure, and product surfaces. Comfortable with data-heavy systems: APIs, pipelines, async workflows, enrichment, and the messy work of making real-world unstructured data usable. Preferred Skills Builds with modern AI tooling by default and uses it to ship more in a week than most engineers ship in a month. Pay range and compensation package Competitive base aligned with experience. Meaningful founding-team equity. 100% health insurance covered; technology package provided. Equal Opportunity Statement We are committed to diversity and inclusivity. #J-18808-Ljbffr