Hyperexponential offers hx Renew, a pricing decision intelligence platform that helps insurers and reinsurers optimize their pricing and underwriting processes. The platform enables these firms to…
Data EngineeringInsurance TechnologyMachine LearningPricing Decision IntelligenceReinsuranceSaaSSpecialty InsuranceUnderwritinghyperexponential.com
hyperexponential
Hyperexponential offers hx Renew, a pricing decision intelligence platform that helps insurers and reinsurers optimize their pricing and underwriting processes. The platform enables these firms to…
Data EngineeringInsurance TechnologyMachine LearningPricing Decision IntelligenceReinsuranceSaaSSpecialty InsuranceUnderwritinghyperexponential.com
HQLondon, GB
Team Size257
Open Jobs16
Total Funding$91M
Latest Fundraise2 years ago
TL;DR
Sector: Insurtech — Pricing Decision Intelligence for commercial P&C insurers
Headquarters: London, UK
Founded: 2017
Recent raise: $73M Series B (Jan 2024) led by Battery Ventures
Employees (approx.): 253
Company Overview
Problem Domain
Disconnected systems, messy data, and outdated processes in insurance pricing and underwriting.
Founded
2017
Industry
Software Development
Funding Track Record
Series B- January 2024
$73,000,000
Participants included Highland Europe and Andreessen Horowitz (a16z).
Unknown (prior disclosed round)- 2021
$18,000,000
Investor Signal
“Battery Ventures led Series B with participation from Highland Europe and Andreessen Horowitz (a16z)”
Founders
What we do
Join the Team
Engineering Manager
On-SiteLondon, GB
On-Site • London, GB
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Who you are
Led the technical delivery of complex, ambiguous products or systems in a domain without established playbooks, breaking down unknowns into testable hypotheses that led to meaningful shipped outcomes
Built and iterated on a structured experimentation or discovery framework (for example, spikes, A/B tests, or eval-driven loops) that reduced feasibility risk and accelerated decision making
Owned and delivered a DevEx or platform roadmap that materially improved engineering velocity, such as introducing CI/CD, improving testing and observability, or simplifying developer workflows
Managed or technically led a high-performing engineering team, creating psychological safety while holding a high bar for quality, delivery, and ownership of outcomes
Shipped AI / ML powered features or systems at production scale, working through challenges around reliability, observability, cost, and user trust, not just model performance in isolation
Collaborated closely with cross functional partners (such as Product, Design, and Research / Data Science) to define strategy, shape roadmaps, and make trade-offs between delivery, debt, and foundational investment
What the job involves
The application process
Initial call with our Talent team (45 minutes)
Manager Interview (60 minutes)
Technical Interviews (120 minutes)
Values Interview with One of our Exec Team and and One of our Tech Leadership Team (90 minutes)
Meet our CEO and Co-Founder
We offer!
Benefits
£5,000 for individual and group training and conference budget
25 days holiday plus 8 bank holiday days (33 in total)
Company pension scheme via Penfold
Mental health and therapy provision via Spectrum.life
Regular remote & in-person hackathons, lunch & learns, socials and games nights
Team breakfasts and lunches, snacks, drinks fridge, fun office @ The Ministry
Startup jobs. A lot of them.
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Our Agent teams are building and scaling cutting-edge AI agents that power real customer workflows, from autonomous analysis to interactive assistance and user-facing automation
You will sit at the heart of translating ambitious product ideas and performance targets into robust, production-ready agent capabilities that materially move the needle for our customers
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As Engineering Manager, you will own the technical delivery of one of our Agent roadmaps (Actuarial Agent, Ingestion Agent, or Underwriting Agent), leading AI Engineers to ship features that meet real customer requirements and close gaps surfaced through our eval pipelines
Your impact will be visible in the capabilities customers rely on day to day, and in the compounding velocity of a team that can repeatedly solve problems no one has solved before
Owning end-to-end technical delivery for one Agent team, turning customer requirements and eval-driven performance gaps into shipped capabilities that measurably improve agent success rates, latency, and reliability
Designing and institutionalising an explore / exploit operating model for your team, using timeboxed spikes, clear kill criteria, and exploitation triggers to reduce feasibility risk and increase the hit-rate of successful agent solutions
Partnering with Product, Design, and Research Engineering to co-design solutions, rapidly assessing feasibility for novel use cases, and steering the roadmap as you learn from real-world performance and customer feedback
Building and maintaining a DevEx roadmap focused on engineering velocity, investing in tooling, CI/CD, testing infrastructure, and observability so the team can safely increase deployment frequency and reduce cycle times
Coaching and mentoring AI Engineers to take on larger, more complex problems, growing technical leaders who can confidently drive designs, lead research spikes, and own critical areas of the agent stack
Creating a culture of high trust and high accountability, where experimentation is encouraged, data and evals guide decisions, and the team takes collective responsibility for the quality and performance of agents in production