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hyperexponential

Pricing software for specialty insurers

Product Engineer

Software EngineeringUpdated on Nov 12
Full-timeWarsaw, PolandNo salary listedHybrid

About the Job

Requirements

  • Built and shipped production systems end-to-end, from design through rollout, monitoring, and iteration, in settings where correctness, performance, and resource efficiency mattered.
  • Designed testing and observability that made complex behaviour understandable, debuggable, and safe to evolve.
  • Worked effectively in a polyglot environment, choosing the right tool for the problem and picking up unfamiliar languages, domains, and codebases fast. Strong systems experience, for example in Rust, C/C++, or Python, is valued, and the company will upskill candidates where there are gaps.
  • Shipped work outside the strongest layer of the stack when the problem needed it, picking up the front end, the data layer, or the infrastructure rather than waiting for someone else to.
  • Used AI tools as a serious part of how they build, with the judgement to direct, review, and stand behind what they produce.
  • Carried product and design judgement into engineering work, shaping the solution rather than only implementing a specification and making sensible calls under ambiguity.
  • Owned outcomes beyond the immediate task, taking decisions rather than escalating them.

Responsibilities

  • Take a customer problem from discovery to production inside a pod, get close to customers, frame the problem, and ship in small increments guided by real customer signal rather than internal opinion.
  • Direct AI agents to draft implementation, tests, and migrations; review, integrate, and harden that work; write intent precisely enough to brief both a teammate and an agent; and own correctness and maintainability regardless of how the first draft was produced.
  • Design and deliver robust production systems where correctness, performance, and resource efficiency matter, with the tests and observability that make complex behaviour safe to evolve.
  • Work across the codebase wherever the problem leads, including areas the pod does not steward, involving stewards in proportion to the risk rather than handing work off and waiting.
  • Move between pods, problems, and streams as priorities change, ramping quickly on unfamiliar domains and leaving what was built running well.
  • Take full accountability for outcomes rather than just code changes, raise risks early, and decide rather than escalate.

About the Company

hyperexponential

Pricing software for specialty insurers

Hyperexponential provides pricing software for the specialty insurance sector. Its main product, hx Renew, is a cloud-based pricing decision intelligence platform that lets insurers build, deploy, and refine complex actuarial models. The platform helps actuaries, underwriters, and other insurance professionals analyze data, create pricing models, and collaborate on pricing strategies, all through a software-as-a-service (SaaS) interface. Compared with broader analytics vendors, Hyperexponential focuses specifically on specialty and commercial insurance pricing, offering end-to-end model development, deployment, and governance within a single platform to support more profitable pricing decisions. The company’s goal is to help insurers improve profitability and manage risk by enabling data-driven, collaborative pricing across global clients.

Company size
201-500
Company stage
Acquired
Total funding
$91M
Headquarters
London, United Kingdom
Founded
2017

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