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People Operations Associate (AI and Automation)

hyperexponential
United Kingdom October 1, 2026
Central Functions
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Central FunctionsPeopledatahaverealperformanceengagementreportingplatformworlddecisionsone

About the role

Hi, I’m Ellie, People Lead at hx. I joined hx in January 2025 as a Senior People Partner and have recently stepped into the People Lead role. Outside of work, I’m an F1 fan and dog mum, so I’m no stranger to fast-paced environments or the occasional pit stop for walkies. Our People team supports all things people at hx, from performance and engagement to the systems, insights and day-to-day operations that help our teams do their best work. We’re growing the team and looking for someone to own our People reporting and analytics, while helping keep the operational side of the function running smoothly. It’s a great opportunity for someone who enjoys turning data into meaningful insights, wants to make a real impact and is excited to help shape how the People team grows alongside the business. Interested? Read more about the role and life at hx below. 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 Until now, insurance has been making billion-dollar decisions using outdated tools.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 People team Our People team owns the systems and data that keep hx a high-performance, high-engagement place to work: performance and growth, people analytics, compensation and benefits, and HR compliance. We are building the reporting layer that lets the business make faster, better-evidenced decisions about its people rather than relying on instinct, and we work closely with Talent to connect hiring and pipeline data with performance and engagement data so leaders see the full employee lifecycle instead of fragments of it. Inside People and Talent, AI has already changed how we screen, how we write up interviews and how we surface insight to leaders. There is far more to do. Plenty of what we do still runs on manual effort that could be designed out, and this role exists to go after that. We care much more about what you have built and put in front of real users than about the size of the team you have sat in, and impact here isn't tied to title or tenure. You will work directly with People Leaders, with real scope to shape how the team works as we grow. One thing worth being direct about: there is no finished playbook here. If you need a well-defined remit and clear instruction to do your best work, this will be frustrating. If you would rather find the problem yourself and build the fix, you will have a lot of room.. What you'll be doing • Build the AI tooling that our People and Talent function runs on. Agents that answer the questions currently landing in our inbox, skills that draft the documents we write manually, workflows that pull our systems together. This is the core of the role rather than a project on the side. • Build out the People reporting layer, including dashboards on retention, attrition and engagement, and get to the point where you can tell us what the numbers mean, not just what they are. • Work with Talent to connect hiring and pipeline data to People data, and make that view something leaders can interrogate themselves. • Learn our people processes properly, starting with onboarding, payroll data integrity and the performance cycle, then rebuild the parts that depend on manual effort. • Support our performance review cycles in Lattice and our engagement surveys, help analyse what comes out of them, and automate the parts that should not need a person. • Help keep our HRIS data accurate, including records, reporting and system troubleshooting. What you'll need to have done • Built and shipped something with AI that other people used, whether that is an agent, a script, a tool, a bot or a side project. • Got past the first version. We will ask how you tested it, what it got wrong with real users and what you changed as a result. If you have a long list of things you have experimented with, we want to hear what each one taught you. • Worked with more than one model or platform, and formed a view on what each is good for. • Worked with a real dataset, cleaned it up, and drawn a conclusion you could defend. • Been responsible for keeping a system or record accurate, whether that is a tracker, a membership list, a codebase or admin for a part-time role. • Handled something that needed to stay confidential, or can show us how you think about handling sensitive information. • Genuine interest in how organisations work, and the willingness to learn a domain where the detail matters and the consequences of getting it wrong land on real colleagues. You're unlikely to
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