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Until now, insurance has been making billion-dollar decisions using outdated tools.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 RevOps team
At hyperexponential, growth, runs on trustworthy data. Accurate, timely insight powers everything, such as campaign performance, customer retention, and strategic board decisions. As we scale, joining data across the customer lifecycle is mission-critical.
As a RevOps Data Engineer, you'll build and maintain hx's revenue data and metrics backbone, turning GTM, product, and financial data into trusted, documented, activation-ready models and metrics that power human, and AI-driven personalisation, automation, and data-guided growth across Marketing, Sales, and Customer Success.
You'll own our core revenue dataset and semantic layer, plus operational feeds into downstream GTM tools. You'll configure managed ELT, build tested dbt models and certified metrics, and run reverse-ETL which meet daily freshness (hourly where needed), less than 4-hour recovery on failures, and maintaining clear data contracts and runbooks.
What you'll be doing
Model core revenue metrics (ARR, NRR, pipeline, win rate, velocity, retention) into a single source of truth that's easy to use and hard to misinterpret, with clear definitions and ownership.
Build and maintain the executive and board revenue dashboards leaders rely on, and publish a certified metrics layer so the wider team can self-serve with confidence.
Turn business rules into operational signals and ship them into our GTM systems (intent scores, routing priority, expansion propensity, etc.) so humans and AI automations can act on them.
Join CRM, marketing, product, and billing data into clean, trusted views, handling company and contact deduplication, identity stitching, and enrichment, then keep it fresh daily (hourly where needed) with sensible alerts and fast recovery plans.
Treat analytics like software: work in SQL and Python with Git and pull requests, clear definitions, thoughtful change control, and comprehensive runbooks.
Use AI to go faster on tests, documentation, and anomaly checks. Always verifying outputs before anything ships.
What you'll need to have done
Built and maintained dashboards and KPI definitions (ARR, NRR, pipeline, conversion, retention), reconciled them with other departments, and created documentation so others can self-serve confidently. Used AI to accelerate analysis while verifying outputs.
Integrated data from multiple commercial systems (CRM, billing, product events, marketing) into a coherent model, implemented deterministic deduplication and hierarchies, and handled schema changes gracefully.
Treated analytics like software: strong SQL and practical Python (pandas), Git and pull requests, dev-to-prod workflows, validation tests, runbooks, and reproducible notebooks.
Translated commercial requirements into operational outputs (reverse-syncs, APIs, exports) that humans and AI agents consume (routing bots, campaign triggers, automations), and demonstrated measurable business impact.
Partnered with commercial teams to solve data problems that led to real business outcomes - not just building ad hoc analyses, but creating repeatable data flows that pushed trusted data into business systems.
Owned data flows end-to-end from source to dashboard or signal, including scheduling, monitoring, sensible alerts, and recovery plans that meet SLAs.
You're unlikely to thrive here if
You'd rather work in a silo. This is a highly collaborative role, partnering with Marketing, Sales, Customer Success, and Finance to translate requirements into technical solutions.
You prefer cranking ad hoc analyses instead of building dynamic, automated data products that scale across the team.
You need calm, predictable work. This team is fast, evolving, and solving complex problems in a high-growth environment.
Reading our Culture Document leaves you feeling neutral rather than energised, hx may not be the place where you'll do your best work. We're building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us.
Interview process
Initial call with our Talent team to kick things off (30 minutes)
Manager Interview (60 minutes)
Skills Assessment (60 minutes)
Values Interview (60 minutes)
We offer!
Compensation
At hx, we're committed to salary transparency. You'll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we're working towards publishing salary information for all roles globally.
Because we're building at the intersection of technology and SaaS with insurance, our roles don't always map neatly onto traditional benchmarks. Our approach is to design compensation that's competitive in the market, fair across teams, and aligned with the impact our people make.
Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your talent partner will be able to share more details about this.
Benefits
£5,000 training and conference budget for individual and group development.
25 days of holiday plus 8 bank holidays (33 days total).
Company pension scheme via Penfold.
Mental health support and therapy via Spectrum.life.
Individual wellbeing allowance via Juno.
Private healthcare insurance through AXA.
Income protection and Life Insurance.
Cycle to Work Scheme.
Additional perks
Top-spec equipment (laptop, screens, adjustable desks, etc.).
Regular remote and in-person hackathons, lunch and learns, socials, and game nights.
Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Ministry.
Access to cutting-edge AI tools and experimentation budget, giving you the freedom to test, learn, and innovate ahead of the market.
Exceptional opportunities for personal development and growth as we build something remarkable together.
Our commitment to Diversity
hxers are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive.
Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure.
If you're energised by complexity and motivated to grow, we encourage you to apply and join our global team.
Next steps
If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome.
For more information about applying and to view other opportunities, you can visit our careers page.
Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.
