Product Engineer

Job description

About hyperexponential (hx) At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a $7 trillion industry - which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-dollar decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we're scaling globally - already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn't tied to title or tenure; it's defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you'll do the best, hardest work of your life in a company engineered to endure. If that sounds like you, join us in building what comes next. How we work We're in the middle of a deliberate shift in how hx builds. Everyone in product development is a Builder , and the Product Engineer is the default unit of how we work. We organise around problems, not permanent teams. Small pods , usually of two to four Product Engineers, form around the highest-value problem, own it end-to-end from discovery through to running it in production, and re-form as priorities change. Pods sit inside value streams, each owning a customer outcome and led by a Stream Lead who decides which problems the stream takes on and holds the bar for what ships. Your growth sits elsewhere: a Career Mentor owns your development and progression, so you can move to where the most important problem is without y…