Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.
QuoteWell is hiring a Software Engineer to build governed AI workflows that integrate with AMS, carrier portals, email, and the agency systems they rely on. You will identify workflows where heroics break down and implement governance to ensure reliable AI-driven execution within a regulated environment.
You will bridge engineering, product, and design to ensure the platform generalizes across clients, balancing human judgment with automated execution, while maintaining trust and accountability.
We started as a vertical SaaS company in insurance. We grew into operating our own wholesale brokerage and a programs group. Through that, we've lived the operational reality of applying AI in insurance - what works in production, what breaks, what compounds. We've just closed fresh funding to scale this operating model to retail insurance agencies across the country.
Our CEO, Joey Bouchard, built and ran applied AI teams at Palantir. We bring that technical rigor together with years of hands-on insurance operations experience to help agencies deploy AI that works in the real world. ( Why insurance is worth this attention. )
Brokerage execution runs on heroics. Service quality depends on who owns the account, how overloaded they are, and what they happen to remember at the right moment. A submission gets marketed broadly, or it doesn't. A renewal gets the same rigor as new business, or it doesn't. A missing detail gets chased, or it stalls.
We don't think that's inevitable. Brokerage execution can be made systematic: software, automation, and AI carrying disciplined follow-through alongside human experts, inside clear bounds, in a regulated environment.
The hard part isn't the model call. It's governability - making AI accountable enough to trust with real deal flow. Who is the AI acting for? What is it allowed to do? What happens when it's wrong? In a regulated industry, those aren't side questions. They're the engineering problem.
We've been answering them inside our own wholesale brokerage for years. That's where we test whether the model actually produces more reliable, scalable, and consistent service. If it doesn't work for us, it doesn't deserve to be packaged for the market. Now we're packaging it.
Software Engineers sit at the point where Third Plane, our platform, meets the messy reality of our agency. You own the outcome at QuoteWell, the internal customer. You also own the signal back to the rest of the company.
A typical month: you're embedded at QuoteWell, working alongside our operators. You're identifying the workflows where heroics break down - submissions, renewals, follow-up, the work that today depends on someone's memory - and you're building governed AI execution into those workflows. You're calibrating where humans stay (judgment, relationships, accountability) and where the system carries the standard (follow-through, coordination, attention).
The hardest and most interesting part: making it trustworthy. How AI decisions get reviewed, attributed, and defended. That work is what determines whether any of this can actually live in production.
Then you bring it all back. Engineering, Product, and Design need to know what generalizes and what doesn't, so the platform compounds across every customer instead of fragmenting into one-offs. You're the conduit.