Data Engineer Lead at Aios Medical — Remote, $6090kyear inc equity
Offer summary
Qualifications:
Minimum 5 years of experience working with data, with at least 2 years focused on data engineering., Proficiency in building and maintaining data pipelines and warehouses, especially with Redshift or similar cloud warehouses., Fluent in SQL, capable of building and troubleshooting queries independently., Strong understanding of business metrics and how to translate them into data points and systems..Key responsibilities:
- Own and improve data pipelines from multiple sources into Redshift.
- Ensure data syncs are reliable and reduce manual checks.
- Support both growth and product teams by providing accurate and accessible data.
- Lay the groundwork for a centralized data team and become a strategic data partner.
Job description
About Aios Medical
Our overarching mission is to accelerate the massmarket adoption of consumer biotech products so every human can live at least 100 healthy years. Our immediate focus is excess bodyweight. We are increasing the accessibility of GLP1 medications to accelerate their takeup to help solve obesity worldwide.
To do that, we’re building an AIpowered clinical operating system: ClinicOS. ClinicOS makes it effortless for consumer brands to easily offer directtopatient healthcare, globally. We work with external Brand Partners, as well as using this infrastructure to scale our own internal consumer healthcare brands.
Since we launched Fella Health in the US in June 2021, Fella has positioned itself as nononsense weight loss for busy bigger guys. Today, we operate multiple brands across the US & UK — our two biggest are Fella Health (US & UK) & Bolt Pharmacy (UK).
Our infrastructure will have served 100 million patients worldwide by 2035. We’ll then use that directtopatient infrastructure to serve nextgen biotech products atscale to increase the proportion of humans living at least 100 healthy years.
In so doing, we’ll become the world’s first trillion dollar healthcare company.
How far along are we?
We’ve grown >2000x since Aug 2021, >200x since Aug 2022, >20x since Aug 2023. We’re >$50Myr revenue. We’ve been cashflow positive since June 2023. We’re >10,000 customers with high NPS.
We’re a young startup and we’re just getting started. This is still Day 1 and all our work is ahead of us.
Were backed by top healthcare & consumer investors:
Y Combinator
Global Founders Capital — backed Facebook, Slack, LinkedIn, Revolut, Rocket Internet
AngelList Early Stage Fund (backed by Naval Ravikant)
BrandProject (venturebuilder behind 2 unicorns)
The founders of Indeed, Curative (unicorn), Alan (unicorn), Kaia Health (>$300mil valuation), Vouch Insurance (>$500mil valuation), Not Boring (Packy McCormick)
Clean Syncs:Our current syncs aren’t as reliable as they should be. You’ll own the flow of data from 20+ sources into Redshift, reducing manual checks, fixing failure points, and making sure everything runs smoothly day to day.Engineering First: This role leans heavily on data engineering early on. You’ll own the tools, build the warehouse structure, and make the microdecisions around sync frequency, tooling, and reliability.Pre + Post Conversion: You’ll support both sides of the business: Growth (e.g. CAC, CPL, funnel metrics) and ProductOps (e.g. time to medication, delivery times). You’ll stitch the data together so these metrics are clean and trusted.Solo Operator: This is a senior role. You won’t wait to figure things out. You know what matters, how to define it, and how to build the backend logic to track it.Centralized Data: This role starts in engineering, but over time, you’ll build a horizontal Data team that owns both data engineering and analytics across the org.Strategic Partner: You’ll become a key decisionmaker on data across the org, balancing reliability, speed, and clarity in how we use data to drive the business.
In the future:
You can read more about working with us here: Working at Aios Medical https:fella.notion.siteworkingataiosmedical
Being a Data Engineer Lead at Aios Medical
Aios Medical is building a worldclass team.
As Data Engineer Lead, your fundamental role is to take full ownership of our data stack, building reliable pipelines, making data accessible acroos all teams, and setting the foundations for a future centralized data team.
You’ll start within the engineering team, focused on fixing what’s broken and setting up what’s missing: rebuilding our pipelines, syncing 20+ sources into Redshift, and making sure every sync works without manual checks. You’ll make highimpact decisions on tooling, sync frequency, and error handling so the data just works.
At the same time, you’ll help define how we measure our business across the full customer journey: preconversion (e.g. CAC, CPL) and postconversion (e.g. time to medication). You’ll work directly with Ben and Dave to understand the questions they’re trying to answer, then build the systems and logic to answer them. You’ll be both engineer and analyst: making data accessible, and making it meaningful.
Great performance in this role means the pipelines are stable, reporting is selfserve, and we’ve laid the groundwork for a centralized data team that can scale. You’ll be the one who gets us there.
This is a fulltime, 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.
You’ll report directly to Gzim (Head of Engineering). You’ll also work closely with: Ben (Head of Product) & Dave (Head of Growth).
Key Responsibilities
You’ll be the goto person for all things data at Aios. You’ll fix what’s broken, build what’s missing, and soon build the foundation for a horizontal data team.
Right now:
Required profile
Experience
Other Skills
- Metric System
- Team Management
- Time Management
- Communication
- Problem Solving
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