# Senior Product Engineer at Hyperexponential

Hyperexponential is hiring a Senior Product Engineer in London, United Kingdom. Level rates it Works on AI ●●●○; you can [apply on Hyperexponential](https://jobsbylevel.com/go/325ece9f-0bb0-4b2a-89ea-56345e837aad?utm_medium=ai-agent).

AI Level 3, AI centrality 63 out of 100. Remote (London (hybrid)).

## Details

- Company: [Hyperexponential](https://jobsbylevel.com/companies/hyperexponential)
- AI level: AI Level 3 (score 63 out of 100)
- Location: Remote (London (hybrid))
- Posted: October 28, 2026
- Apply: https://jobsbylevel.com/go/325ece9f-0bb0-4b2a-89ea-56345e837aad?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-product-engineer-at-hyperexponential-89dc50

## Prepare for this job

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## 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 Until now, insurance has been making billion-dollar decisions using outdated tools.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. About the Engineering team At hyperexponential, engineering is at the heart of our mission to transform the insurance industry. Our engineers build and scale, enabling insurers to model complex risks and make smarter pricing decisions at speed. By combining deep technical expertise with creativity, the team pushes the boundaries of what’s possible in insurance technology. Within engineering, our product teams are cross-functional, pairing frontend and backend engineers with designers and product managers. This enables end-to-end ownership of features, with engineers contributing across design, architecture, implementation, and testing. Collaboration is a core part of how we work, ensuring that every release is both technically sound and valuable to our users. About the role Underwriters at the world's largest insurers still do much of their work in spreadsheets, email threads, and systems that were never designed for the decisions they are making. We are rebuilding that from the ground up. You will join the Workflow Underwriting stream, building the next generation of our underwriting platform. This is not a platform with AI features bolted on. We are designing it around the agents we build, which means the architecture, the domain model, and the interaction patterns are all genuinely open questions. You will help answer them. You will contribute at code, architecture, and domain level from your first weeks, and you will talk directly to the underwriters who use what you build. What you’ll be doing Design, build, and operate backend services in Kotlin or Java, and own them in production. Turn ambiguous underwriting problems into simple, reliable software. Much of the work is deciding what to build, not just building it. Shape architectural decisions: APIs, domain models, persistence, reliability, observability, and how the platform evolves without collapsing under its own weight. Build real depth in the underwriting domain, to the point where you can challenge a requirement rather than only implement it. Design and build agent-assisted workflows, and make judgement calls about where an agent should act, where it should advise, and where a human must stay in control. Use AI coding tools, including Claude, as a core part of how you work. You delegate substantial work to them and you remain accountable

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