Job Opportunities API

The Public Ledger of Openings

← Back to the ledger

Head of Data at AIOS — Remote, $150k-$300k/yr inc equity

Aios
CompanyAios
CategoryEngineering
LocationRemote
RemoteRemote
EmploymentNot stated
LevelDirector
SalaryNot stated by the employer
Posted29 Jul 2026
Last verified9 Aug 2026
SourceEmployer ATS (ashby)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
ABOUT AIOS AIOS is building the world’s first full-stack AI doctor. We’re at $350M ARR, growing from $10M/yr 12 months ago. We’re the world’s fastest growing AI doctor. We’re faithfully serving >150k/mo patients via Bolt Pharmacy, our main UK brand. We’re profitable. Our strategy exists at the intersection of two strong theses: 1. The AI doctor that wins will get to escape velocity using GLP-1s, the fastest growing consumer product in history. 2. The $2T European healthcare market is overlooked by the most talented builders. Our master plan: - Step 0 → $100M/yr by end of 2025: We went from $10M to $100M in 6 months serving the UK GLP-1 market. - Step 1 → $1B ARR by end of 2026: Over the last 12 months we've grown from 3k to 150k UK active GLP-1 patients. We’ll continue this growth curve to hit $1B ARR. - Step 2 → $10B ARR by end of 2028: Blitzscale Europe. We’ll be Europe’s largest GLP-1 provider. - Step 3 → $100B/yr by end of 2031: Get regulatory approval across Europe for our Full Autonomous Prescribing (FAP) system. Win contracts at scale with European payers to mass replace human labor. We’ll be the dominant full-stack AI doctor in Europe. - Step 4 → $1T/yr by end of 2035: With one line of code and zero human time, you can use AIOS to treat any patient globally with any medication. In so doing, we’ll become the world’s first trillion-dollar healthcare company. We’re a young, founder-led company. 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 https://app.notion.com/p/Working-at-AIOS-5b5c0a584af44de78ac7fb9b2cf8d993?pvs=21 BEING HEAD OF DATA AT AIOS We are building a world-class data team. As Head of Data at AIOS, your fundamental role is to own the data stack end to end. We’ve built strong foundations across our pipelines, dbt layer, and self-serve reporting (Hex). As AIOS has grown to more than $350M in annualized revenue and >150k active patients, the importance and complexity of data across the company has grown with it. We now need a data leader who can take ownership of the entire function: setting the technical direction, developing our team, governing company metrics, and ensuring every AIOS leader can make decisions using data they trust. Your mandate is to turn our current foundation into the trusted data operating system for the entire company. You’ll make sure: - Our pipelines, models, and dashboards are reliable. - Our dbt layer is clean, documented, and designed to scale. - Every core company metric has a precise, canonical definition. - Leaders can confidently use Hex AI to explore trusted data and answer important business questions. - Engineering and Data have clear contracts for how product data enters the warehouse. - We’re building the evidence layer required to speak credibly with regulators about our clinical and AI systems. You’ll deeply understand every important metric across growth, activation, retention, revenue, product, clinical operations, CX, and Ops. When a functional lead proposes a KPI that doesn’t measure what they think it measures, you’ll tell them. You’ll then work with them until you land on something that does. You’ll manage our existing Analytics Engineering Lead, hire an additional Data Engineer once you’re onboarded, and continue building the team around you as the company scales. This is primarily a managerial role, but you’ll remain close to the metal. You can inspect a complex dbt model, challenge a marts-layer design, debug why a number looks wrong, and get your hands dirty when needed. Great performance in this role means every AIOS leader trusts the data they use, our most important metrics live in governed models rather than scattered dashboard logic, and the data team operates as a single high-performance unit. If you nail the role, you’ll have shaped the data culture, stack, and team of a company growin