Growth Generalist
AnimaRemotePosted 21 February 2026
Job Description
About AnimaHey! Shun here, I’m the CEO and co-founder of Anima. Our mission is to deliver precision medicine to everyone in the world in under 24 hours.My entire life, I’ve been pulling on a thread that’s affected all of us in some way. Millions die every year because their medical problems aren’t treated quickly enough. Hundreds of millions suffer pain, worry and discomfort needlessly because of long waiting times. I trained as a doctor in the NHS and quit out of frustration at seeing countless cases of people dying because they got misdiagnosed or didn’t get the right care plan.Seeing the problem space at all abstraction levels, including as a doctor and at the HM Treasury, convinced me that the only way to fix healthcare was to build a ‘Care Enablement’ platform that can automate and abstract away work at the clinic, and effectively 10x'ing the capacity of doctors. Doing so would also be the path to a superhuman personalised medicine agent that could go well beyond humans, crunching tens of thousands of low level features at genome and transcriptome level.At Anima, you’ll help us extend the 3 existing product lines we have, that millions of patients use, and build out new ones at the very cutting edge of healthcare reinforcement learning and agentic AI. Your work will save countless lives.Role DescriptionAs a growth generalist at Anima, you'll operate at the intersection of product, engineering, revenue, and operations, tackling the most urgent problems facing Anima. No two days are the same: one day you might be building an internal tool to automate a complex workflow, the next you’re tackling a high level problem statement from 0→1; starting with first principle thinking and taking it all the way to execution in the solution space.Here’s a few example problems you may tackle in this role:Customer Support Automation: “How can we build an automated workflow/agent that minimises both the time to resolution of customer support tickets and the number of manual team hours used for support?”Optimise Distribution Partnerships: “How do we select and win the optimal basket of distribution partnerships such that we maximise discounted cash flow and minimise the risk of external partners?”Accelerate Revenue Collection: “How do we minimise the time from contracted ARR to realised revenue collection?”You'll collaborate closely with product, distribution, and people teams to identify leverage points and build scalable solutions (whether that’s automation powered by LLMs, smarter analytics pipelines, or entirely new internal systems and processes). You’ll need to thrive in ambiguity and execute fast.Our stack is mature, modern, and built for rapid iteration: fully serverless backend on AWS, JS/TS across the board (Angular, React, Capacitor, Electron), with robust CI/CD and test coverage, as well as no-code tooling such as Retool and Zapier. Generally, the growth team are tech agonistic, and collectively choose the best tools for the job. We’re constantly looking to maximise our productivity and minimise what we call “discounted dev time cost” for shipping features.The pace is fast, the impact is real, and the rate of personal growth across all domains is exciting. You'll be joining a team that values pragmatism, ownership, and pushing the boundaries of what's possible.First Month - some examples of what to expect:Gain comprehensive understanding of Anima’s product, verticals, and user base.Collaborate with Product, Distribution and People organizations to assess current processes and identify the biggest pain points and opportunities for productivity gain.Prioritise and implement automated workflows to replace manual processes where feasible.Next 6 Months - some examples of what to expect:Lead the design and deployment of scalable automation solutions that are highly usable for internal stakeholders by leaning into your product/people intuition and strong decision making.Work closely with stakeholders to constantly explore automation pro ... (truncated, view full listing at source)
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