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At hyperexponential (hx), 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 Until now, insurance has been making billion-dollar decisions using outdated tools.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.
Job Responsibility:
Design and deliver complex product epics at 3–5x the velocity of baseline engineering teams, ensuring high-quality functionality reaches customers faster without compromising system integrity
Architect AI-assisted guardrails across the SDLC, including autonomous testing pipelines, AI-driven security reviews, and automated code quality agents that maintain stability while enabling rapid iteration
Use AI tools to rapidly map dependencies and navigate unfamiliar parts of the hx codebase, safely delivering cross-domain improvements without relying on traditional ownership boundaries
Build and evolve AI-native development workflows, integrating tooling across coding, testing, CI/CD, and deployment environments
Translate successful strike team practices into reusable patterns, tooling, and paved road workflows that scale across the wider engineering organisation
Work directly with product, design, and customers to shape what gets built, pushing back on scope, finding simpler solutions, and focusing engineering effort on the problems that matter most, with ownership defined by impact rather than title
Requirements:
Built or significantly evolved AI-assisted engineering workflows that measurably accelerated delivery speed while maintaining production reliability
Delivered complex product features across unfamiliar codebases by rapidly understanding architecture, dependencies, and constraints
Architected scalable cloud infrastructure and CI/CD systems that enabled fast, reliable software delivery in production environments
Implemented automated testing, security, or quality systems that reduced operational risk while increasing development velocity
Evaluated and integrated modern AI development tooling, selecting pragmatic solutions that improved productivity and software quality
Partnered with product and design to shape requirements and influence what gets built, demonstrating strong judgement across trade-offs between speed, quality, and scope
What we offer:
£5,000 training and conference budget
25 days of holiday plus 8 bank holidays
Company pension scheme via Penfold
Mental health support and therapy via Spectrum.life