YC‑backed startup Cat is hiring a fractional engineer to build an AI‑native growth toolkit for its insurance brokerage platform. The role is contract‑based, remote, targeting self‑starters who can design and deploy AI‑driven acquisition tools and coordinate hands‑on outreach such as Craigslist canvassing. Applicants from ten U.S. states are excluded, and only the official YCombinator application form will be considered immediately.

Beyond code, the position demands operational grit: the engineer must troubleshoot bottlenecks, align experiments with revenue goals, and possibly oversee temporary staff for field outreach. Incentive pay is on the table, reflecting the startup’s emphasis on rapid, quickly measurable growth. By blending AI‑native automation with real‑world prospecting, Cat hopes to accelerate its strategic market share in a niche insurance segment.

The gig underscores a broader trend where today’s early‑stage firms lean on part‑time technical talent to prototype growth engines without full‑time payroll commitments. For engineers, the stint offers exposure to both machine‑learning pipelines and grassroots sales tactics. Cat’s explicit focus on AI‑native tooling signals that the company views automation as the primary lever for long‑term scaling its brokerage operations.