Revenue Operations Leader (Senior Director–VP) at Hyperexponential in New York, NY
- Company: Hyperexponential
- Location: New York
- Salary: $46K – $290K
- Job type: full time
- Workplace: onsite
- Posted: 2026-10-02
All open roles at Hyperexponential
Job description
Hi, I’m Kate Hillier Isaac , SVP Commercial Engineering & Operations at hx. I lead our GTM Engineering & Operations, Analytics and Financial Planning teams, and I’ve spent my career working with large, complex commercial organisations, from Google and Microsoft to the scale-up journey here at hx. What excites me about this role is that almost nothing about our GTM motion is steady state. We’re launching new motions, working with much larger and more complex enterprise accounts, changing how pre and post-sales work together, and introducing agentic workflows into how the revenue organisation operates. So this isn’t a role about inheriting a RevOps machine and making it 10% better. It’s an opportunity to help rebuild the operating system behind how we grow, from pipeline creation and multithreaded engagement through to expansion, and to work out where better data, systems and agents can create genuinely different levels of leverage. I’m looking for someone who wants to run the business and transform it at the same time. Someone who can make hx feel better run as we become more complex, not harder to run. Let’s speak soon. Kate About hyperexponential (hx) At hyperexponential, we’re building the agentic platform for commercial insurance underwriting. Underwriters make decisions that shape the real world: which risks to take, how to price them, and where capital gets deployed. Those decisions can determine whether a new technology gets built, a business can grow, or a community can recover after disaster. Yet much of the industry still makes billion-dollar decisions through fragmented systems, manual workflows and technology that wasn’t built for the complexity of modern risk. hx is changing that. We bring together data, models, AI and human judgement so insurers can understand risk more deeply, make better decisions faster and ultimately enable the world to take more risk with confidence. Born in London, hx is now a global team of nearly 300 people across London, New York and Warsaw. Leading global carriers and MGAs use hx to support underwriting across more than $75bn of annual commercial P&C premium. Backed by a16z, Highland Europe and Battery Ventures, we’re scaling rapidly across products, markets and geographies. AI is changing what great work looks like, and we’re building hx around that reality. People here get real ownership, high expectations and the space to use these tools to increase the quality and ambition of what they can do. About Revenue Operations Revenue Operations sits at the centre of how hx grows. As we scale across products, markets and geographies, the challenge is no longer simply to make our GTM engine more efficient. It’s to build an operating system that can make a complex revenue organisation run exceptionally well today while continuously redesigning how it should work in an agentic future. You’ll lead RevOps across Sales, Marketing and Customer, bringing together the systems, data, processes and operating rhythms that underpin the full customer journey. This is a hands-on leadership role. We want someone who can set the architecture, get deep into the detail when needed, and use AI and automation to fundamentally change the amount and quality of work the team can deliver. What you’ll be doing Own the end-to-end Revenue Operations strategy across Sales, Marketing and Customer, creating one coherent operating system across the full funnel. Oversee teams that own forecasting, pipeline management, territory and capacity planning, target setting and performance management, ensuring leaders have a clear and trusted view of the business. Run and optimize the core commercial operating cadences, including QBRs, Pipeline Councils and other mechanisms that turn data into decisions and decisions into action. Redesign workflows around AI and automation, not simply layer AI onto existing processes. Identify where judgement matters, where work can be automated, and where technology can materially increase human lev
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