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

Own the data stack end to end to enable trusted company-wide decisions

As Head of Data at AIOS, you will own the data stack end to end, ensuring pipelines, models, and dashboards are reliable. You will set technical direction, develop the data team, govern company metrics, and enable every leader to make decisions using trusted data. Your mandate is to turn the current foundation into a trusted data operating system for the entire company.

Why This Role?

Direct founder access with real impact from day one on a fast-growing AI doctor startup

Key Responsibilities

  • Own the data stack end to end including pipelines, dbt layer, and self-serve reporting
  • Set technical direction for the data function and ensure reliability of models and dashboards
  • Develop and lead the data team as the company scales beyond $350M ARR
  • Govern company metrics and enable leaders across AIOS to make data-driven decisions
  • Build and maintain a trusted data operating system to support company-wide decision making

Requirements

  • Experience owning a data stack end to end in a high-growth environment
  • Strong background in data engineering, analytics, and team leadership
  • Proficiency with dbt, data pipelines, and self-serve analytics tools like Hex
  • Ability to set technical direction and govern metrics for a scaling organization
  • Experience working in a fast-paced, founder-led company with rapid growth

Required Skills

data engineeringdata analyticsdata governanceleadershipcommunicationdata leadershipdbtdata pipelinesteam developmentmetric governancekeywords

Indonesia Context

Working Hours Overlap:
Minimal overlap — opposite hours
See remote (USD) vs local pay →

Keywords

Head of Datadata stackAIOSGLP-1healthcare analyticsremote leadershipdata operating systemfounder-led
View Original Description from Ashby Job Boards

Original description from Ashby Job Boards

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 growing from $350M toward $1B in annual revenue. This is a full-time, fully remote role, and you’ll work async in the timezone of your choice, as long as you’re around until midday Pacific Time for calls as needed. This is a senior role. You’ll report directly to Gzim https://www.linkedin.com/in/ghels/ :) (VP of Engineering). You’ll also work most closely with: - Pedro Viana https://www.linkedin.com/in/pedro-v-616618164/ - Analytics Engineering Lead - Richie Cartwright https://www.linkedin.com/in/richard-cartwright/ - CEO - Functional leads across Growth, Product, Clinical, CX, Ops, and Finance KEY RESPONSIBILITIES - Stack: You’ll be the DRI for data across every AIOS brand and market, including ingestion, Redshift, dbt, Hex, product-event tracking, integrations, data quality, monitoring, and access. - Architecture: You’ll define how our data platform should evolve as AIOS grows by orders of magnitude. You’ll make the important architectural decisions while working through our Analytics Engineering Lead and the rest of the team to execute them. - dbt: You’ll establish clear standards for staging, intermediate, and marts models. You’ll define how new models are proposed, designed, reviewed, tested, documented, deployed, and eventually deprecated. - Metrics: You’ll own the definitions behind the metrics that run AIOS across growth, activation, retention, revenue, product, clinical operations, CX, and Ops. You’ll eliminate conflicting definitions and turn core metrics into trusted company infrastructure. - Hex AI: You’ll make Hex AI the best possible interface for understanding the business. Leaders should be able to ask important questions against clean, intuitive models without recreating business logic in every dashboard. - Performance & Reliability: You’ll work with the team to keep our warehouse and pipelines fast, reliable, and cost-efficient as data volume and usage grow. You’ll set expectations for performance, freshness, monitoring, incident response, and cost. - Experimentation: You’ll establish how AIOS designs, instruments, and evaluates experiments. You’ll ensure results are statistically sound, prevent teams from drawing confident conclusions from weak evidence, and identify when specialist Data Science support is needed. - Engineering: You’ll partner closely with Engineering on source schemas, product events, breaking changes, data contracts, and backfills. Product changes should flow predictably into trustworthy analytical data. - Business Partner: You’ll become a key partner to every functional lead. You’ll understand their domain deeply, challenge weak KPIs, and help them find the measurements that actually drive better decisions. - Build the Team: You’ll lead our existing data team, hire an additional Data Engineer once you’re onboarded, and continue growing the function based on what the company needs most. - Regulatory Evidence: You’ll start designing the data foundations required to demonstrate the quality, safety, and performance of our clinical and AI systems. When we talk to regulators, we should be fully data-backed. - Vendors: You’ll own our relationships with Hex and other important data vendors. You’ll lead escalations, push for reliable products, evaluate whether tools still serve us, and negotiate as AIOS scales. - Systems: You’ll move important business logic out of ad hoc dashboards and into governed models. When a problem repeats, you’ll turn the solution into reusable scaffolding rather than fixing it for the fifth time. NEED TO HAVE - Experience: You have 5+ years as a hands-on data IC and 3+ years leading teams, including directly managing at least a couple of people. Most of your career has been spent close to the metal. - SQL & dbt: You’re deeply fluent in SQL and dbt. You can read complex transformation logic, identify grain and join problems, review a marts-layer design, and quickly work out why two reports disagree. - Data Architecture: You’ve helped design and operate a modern data platform spanning ingestion, a cloud warehouse, transformation, reporting, and monitoring. You understand how each layer should fit together. - Data Engineering: You understand how production data systems behave beyond the modeling layer. You can reason about orchestration, incremental processing, dependencies, backfills, failure recovery, freshness, and data-quality controls - Data Modelling: You know how to design models that remain clean and understandable as the business changes. You care about contracts, tests, lineage, ownership, documentation, and intuitive interfaces. - Metrics: You can turn an ambiguous business goal into a precise metric. You deeply understand funnels, cohorts, activation, retention, churn, revenue, and growth. - AI-Native: You use AI heavily in your own work and have strong instincts for making AI-assisted analysis more reliable, contextual, and useful. - Judgement: You know which logic belongs in dbt, which belongs in Hex, which requests should become canonical models, and which requests should not be built at all. - Leadership: You set a crisp direction and quality bar while giving strong people room to execute. You know how to develop an existing team while building the broader function around it. - Player-Coach: You’re excited to primarily operate at the managerial and system level, but you haven’t lost the ability or willingness to inspect the actual work. You won’t hide behind your team. - Stakeholders: You challenge senior leaders without hesitation when a KPI is misleading or poorly defined, then work with them to build a measure that drives better decisions. - Reliability: You’ve established monitoring, data-quality checks, ownership, and incident processes for business-critical data. You don’t accept “the dashboard sometimes doesn’t update” as an enduring fact of life. - Ownership: When a model is wrong, a dashboard is stale, or a vendor is failing us, you take responsibility for reaching the outcome. You do not stop at identifying which system or person is technically at fault. NICE TO HAVE - Scale: You’ve helped a data function keep pace with a company experiencing extreme growth. You enjoy the scary speed of a high-growth startup. - Redshift: You’ve operated Redshift or a similar cloud data warehouse at meaningful scale. - Hex: You’ve used Hex or another modern collaborative analytics platform and understand how to enable self-service without creating hundreds of competing truths. - Consumer Metrics: You’ve worked deeply with acquisition, activation, retention, churn, revenue, cohorts, and unit economics in a consumer or subscription business. - Multi-Market: You’ve built data systems supporting multiple brands, countries, and/or products without creating a separate data universe for each one. - Regulatory Evidence: You’ve thought about how product and operational data can become traceable, auditable evidence for regulators or other high-stakes external stakeholders. - Talent: You have a strong nose for exceptional data talent and know how to build a lean, high-performing team. - Figure It Out: You can move from a broken executive dashboard, to a dbt architecture discussion, to a difficult vendor escalation, to a KPI debate with a functional lead while making progress on all four. OUR CULTURAL STANDARDS We aim to make this your life’s work. This should be the most challenging, most rewarding role of your life. Accordingly, these are the core cultural standards to which we hold ourselves & our team-members: 1. Belief in the mission: We will have served 100 million patients by the end of 2035 and we transform the life of most patients who join. We have a lot of work to do. We are obsessed with our patients and are dedicated to the mission. 2. Unwavering integrity: We are at the frontier, so we often live in ambiguity with no trodden path. When we can’t look to others for guidance, we must maintain impeccable ethics and unwavering integrity. 3. Only the paranoid survive: Bad sh*t is coming. By joining us, you’re choosing to sail straight towards the storms with unhesitating conviction. However much we’ve already done, however far we’ve already come — it’s still Day 1 and all our work is ahead of us. 4. If we’re average we fail: We are only interested in “insanely great”, a focus on the quality of our execution that in everyday life would be considered pathological. We have a dedication to excellence and reject incompetence. 5. Commitment to candor: That which can be destroyed by the truth should be. You get full transparency from the company and the company expects full transparency from you. We never say anything about someone that we wouldn’t say to them directly. We give feedback with love and do not need to protect people from fleeting physical sensations. 6. A maniacal sense of urgency: We execute at an intensity that most people think is impossible. Speed is critical and we need things done yesterday. We all work very hard and in such a competitive world there really is no other way to win. 7. Enduring frugality: We are frugal. We hate being wasteful and we are anti-luxury. A culture of cheapness keeps us young. We spend our cash wisely & carefully — in a way that would make our grandmas proud. 8. Bulldozing barriers: The world is malleable and we shape it. We truly believe this and act accordingly. We are relentlessly resourceful and are at the mercy of no-one but ourselves. You’ll be shocked how capable you are and how much you can achieve. 9. Keep your head down: We’re boring people doing exciting work. We don’t chase short-term status — we ignore short-term dopamine hits and focus on what matters. Outsiders will underestimate us and we revel in that. 10. The power of focus: We live in a world of power laws and we cannot overestimate the unimportance of practically everything. Know your One Thing, and nail it. 🎯 “You just build a fing amazing experience. Make each step amazing. Make every decision in the long term interest of the customer. Give the customer massively more value than you take.” COMPENSATION & BENEFITS You get paid above market salary and you get early stage equity, so you get really rich if we nail this. - Compensation: $150k-$300k/yr, + equity BENEFITS The stuff below is cool as well. - Healthcare: comprehensive medical insurance (if appropriate) - Vacation: PTO with a yearly minimum (≥2wks/yr + local national holidays) - Remote: our team is fully distributed across the world and functions fully remotely - Personal development: budget for books, courses, coaching ($1200/yr) - Personal wellness: budget for gym, health apps ($1200/yr) - Coaching: free biweekly health coaching - Equipment: Macbook & work-from-home equipment provided as needed - What are we missing? We're still early so you get to shape our culture. HOW TO APPLY 1. Apply on Ashby https://jobs.ashbyhq.com/Aios/789f739c-5dec-4042-b785-8b8527f9a525

Salary Context

Similar Data & Analytics roles on LokerDollar pay around $200k/yr (range $41.6k–999k/yr, n=61 active listings).

Hiring at AIOS

AIOS has 8 other active roles on LokerDollar and has been hiring here since Jul 16, 2026 — across Data & Analytics, Engineering, Marketing, Operations.

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Remote-friendly · fits your timezone
Company
AIOS
Source
Ashby Job Boards
Salary
Job Type
full time
Location
Remote · US West hours
~0h overlap with Jakarta hours
Seniority
lead
PostedNew
Jul 29, 2026

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Frequently asked questions

Is Head of Data at AIOS — Remote, $150k-$300k/yr inc equity at AIOS a remote job?
Yes. Head of Data at AIOS — Remote, $150k-$300k/yr inc equity at AIOS is a fully remote role open to candidates worldwide.
What is the salary for Head of Data at AIOS — Remote, $150k-$300k/yr inc equity at AIOS?
The listed pay range for this role is $150k–300k/yr.
What type of employment is Head of Data at AIOS — Remote, $150k-$300k/yr inc equity at AIOS?
This is a full time position.
How do I apply?
Click the "Apply" button on this page to go to the official application at AIOS.

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