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AIOS is building the first vertically integrated AI doctor in Europe.
We’re >$250M ARR, serving >100k/mo patients, growing >10x YoY. We’re Europe’s fastest growing healthcare company. We’re profitable.
As our wedge into the European healthcare system we’re using GLP-1s, the fastest growing consumer product in history. We’re the only AI-native GLP-1 provider in Europe.
Our master plan:
TLDR = 2026-2030 is the blitzscale landgrab until the semaglutide patent cliff, then we vertically integrate and own the whole value chain. The only way to keep up with this scale is to replace all marginal human time with AI.
Our infrastructure will have served 100 million patients worldwide by 2035. We’ll then use that infrastructure to deliver next-generation healthcare products at mass scale for low cost so every human can live at least 100 healthy years.
In so doing, we’ll become the world’s first trillion-dollar healthcare company.
We’re a young, founder-led startup. This is still Day 1 and all our work is ahead of us.
You can read more about working with us here:Working at AIOS
We’re building a world-class team.
As Head of Product Growth at AIOS, your fundamental role is to engineer viral growth. I expect us to reach >0.3 30-Day K Factor (our Primary KPI). This is critical work for us to scale from 100k active customers today to 10 million customers by 2030.
You’ll start by taking over our referral program and transforming it into a true viral growth system. You’ll lead a team of engineers + designers, and work closely with the CEO. You’ll ship daily, test aggressively, and iterate with AI tools faster than most product teams can finish scoping.
Over time, your work will expand across every product surface that can drive viral growth: referrals, invite loops, UGC, social sharing, gifting, visible product moments, freemium, and weird ideas no one has tried yet. You’ll build a cracked team under you to execute this.
This is a founder-builder role. You’ll act with high autonomy. We want someone who thinks distribution is a product problem, moves fast, has strong consumer taste, and knows how to create loops that make people want to share.
If you nail the role, you’ll continue to lead everything in Product Growth. If you’re truly excellent, you’ll be a leading candidate for our future CPO or CGO roles.
This is a full-time, fully remote role, and you’ll work mostly async in the timezone of your choice. You must be around until midday Pacific Time every weekday to have enough crossover with me.
This is a senior role. You’ll report directly to me, Richie :) (our CEO). I’m intense, so you’ll also be intense. You’ll work long days and regularly work weekends.
You’ll also work closely our VP Growth (Rick Singh), our Head of Product (Ben Dowdle), and our VP Engineering (Gzim Helshani).
<aside> 📈 ”A startup is a company designed to grow fast. The only essential thing is growth. If you get growth, everything else tends to fall into place.”
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Overall: You’ll build viral loops that cause customers to bring in other customers. You’ll measure this primarily via 30-Day K Factor.
Referrals: You’ll understand our existing referral program, then rapidly improve it via experiments. It’s not unlikely you rip it up to rebuild the foundations.Pull Virality: Create product experiences that are better when customers invite friends.Push Virality: You’ll turn our customers’ offline touchpoints into a billboard for the product.UGC: You’ll activate real customer stories, screenshots, milestones, and before/afters so our customers organically share content with their friends.Product as Marketing: You’ll get imaginative in the freemium experience (e.g. shot-tracking app) to get users into our ecosystem.Organic WoM: You’ll get imaginative on what we can be doing to trigger delight and tribal affinity so customers instinctively just want to tell their friends about us.Analytics: You’ll make sure everything is tracked. You’ll own the decision on what stack to use and guide its implementation.30-Day K Factor (# additional Net New Customers brought in by each Net New Customer within 30 days of their initial purchase)
UK Monthly Net Referral Rate (net referrals last 30 days / net active customers)
Advocate Share: % Net Active Customers who have successfully referred at least once
Referral Frequency: Avg # Net Referrals by each Successful Advocate
Avg Days to First Referral
% New Customers who share the referral link within 1000 seconds of purchase