Hey! 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.
As 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.
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.
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 projects based on their impact and feasibility, honing in on the 90/10 power law opportunities. Engage in system-building activities.
Example projects include building an agent that automatically updates CRM fields and deal statuses using LLM inference, function calling and retrieval on user transcripts OR building a 'debugging' co-pilot that has global context on the codebase beyond just the open file and endlessly more.
Drive continuous improvement in automation processes, integrating NLP algorithms and data analytics to extract valuable insights.
Collaborate with the ML/data team to leverage advanced techniques for further enhancing automation and efficiency across the organization.
Potential to transition to a more managerial/executive role. Lead an autonomous lance of elite automation engineers.
A strong T-shaped generalist, with exceptional problem solving and systems thinking ability - able to abstract human and non-human systems into high usability human-in-the-loop automations.
Intellectually curious with a growth mindset - willing and able to tackle entirely novel challenges that lack prior precedent through applying strong CS fundamentals and first principles thinking, creatively using the right data structures & algorithms to solve problems 90/10. A forces of nature who walks through walls to deliver, on anything, even in a fresh domain for problems they’ve never encountered
Strong engineering/quantitative aptitude or willing and able to pick up within 2 months.
Can move across different abstraction levels, thriving in ambiguity: Keen to understand the big picture & entire context of the company with the ability to dive deep in any vertical to solve complex problems; strong stakeholder management skills
Hungry and high energy - A force of nature when empowered with the tools, resources and development.
Open-minded and low ego - Exceptional at ‘breadth-first search’ of problem spaces, and consistently mindful of local maxima. Values pragmatism and open discussion from first principles rather than dogma.
Crewmate mentality - Seeks to maximise not only self productivity, but combined team productivity, communicating the right things at the right time through the right channels (verbal/Slack/Notion). Takes duty to crew and our mission extremely seriously.
We don’t enforce any particular experience level, but you’ll need to demonstrate most of the above through past projects and/or our assessment process.
Originally posted on Himalayas
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