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About Eucalyptus We're on a mission to make good health last a lifetime. More than 1 billion people live with obesity worldwide, driving preventable chronic conditions. We're here to build better long-term care.   Eucalyptus is now part of Hims & Hers, the global leader in personalised health and wellness.   Euc is the company behind Juniper, one of the world's largest weight-management programs combining GLP-1 medication with personalised nutrition, movement support, and clinician-led care from prescribers, nurses, health coaches, pharmacists, and dietitians. Our published clinical research shows that our combined clinical and behavioural approach helps patients lose significantly more weight during their treatment with Juniper by four times. Our Growth Story: Supporting patients living with obesity across our 5 markets Received selective NICE endorsement to provide services to the NHS Tailored our offering to thousands of patients in Australia, the UK, Germany, Japan and Canada. The opportunity We believe in the balance between innovation and incremental changes and we invest in both.  You'll own a structured, always-on programme of experimentation across our key digital surfaces: landing pages, assessment flows, activation, and onboarding, with a clear ambition to expand into post sales and lifecycle touchpoints as the programme matures. You'll bring both the scientific rigour to run experiments that actually mean something, and the strategic instinct to know which experiments are worth running in the first place. You'll build a living, learnings-driven roadmap that feeds directly into what comes next. What you'll do Turn data and insight into sharper hypotheses Combine multiple signals — funnel analytics, behavioural data, session recordings, patient research, support themes — to develop a genuine point of view on why the experience is performing or underperforming Run structured discovery each quarter that directly changes at least one roadmap priority; not just 'here's what the data says' but 'here's what we should do about it' Write read-outs that go beyond the result: what did we learn about patient behaviour? What does this change about our next hypothesis? What did we rule out? Build and own a structured experimentation programme Build a clear hypothesis and experimentation framework based on both qualitative and quantitative insight, and not doing it because “my gut told me so”. Sequence experiments deliberately: validate assumptions cheaply before committing to big builds; test the riskiest hypotheses first Maintain a clear, always-current view of what you're testing, why you're testing it, and what you expect to learn — not a backlog of ideas, but a coherent programme with a through-line Ensure every test has a purpose that maps back to a strategic question about the patient experience Set experiments up to actually tell you something Write rigorous briefs: clear hypothesis, defined primary metric, pre-specified success criteria, correct sample size, and expected run time before running a test. Understand the difference between statistical significance and practical significance and never call a test early, on gut feel, or because the numbers look good in week two After every experiment, update the roadmap based on what you learned, not just what you planned; dead ends are as valuable as wins if you know what to do with them Build a compounding library of knowledge about what works on our surfaces such as patterns, principles, and reusable frameworks the whole team can draw on Work cross-functionally to ship Collaborate with design, product managers, growth marketing, and clinical to move tests through from brief to launch without delays accumulating Flag dependencies and risks before they become blockers; communicate clearly enough that the team always knows where things stand Who we