Analytics Engineer

New York, NY (Hybrid, Flatiron) | $120,000 - $150,000 base + equity

About Us

The human brain is the most complex object in the universe, yet society had accepted one-size-fits-all approaches to cognition. The "solutions" (think coffee, energy drinks, and even a friend's rx) were mediocre at best and frankly, made no sense to us. So, we created Thesis, the world's first customized nootropics company. If you've never heard that word before, it's just a fancy way of saying brain supplements. In five years, most will be taking nootropics on the daily and chances are, they'll be ours.

With an exceptional efficacy rate, the world has taken notice. We've raised over $14M in venture capital, garnered interest from leading neuroscientists and athletes, and established ourselves as the industry's leading brand. Now, we're looking for incredible people to help us share the gift of enhanced cognitive function with the world. If you're looking to be a part of a movement, one that involves both immense self-growth and an ambitious mission to pioneer an industry, we'd love to have you on the team.

About the Role

We're looking for an Analytics Engineer to own our data infrastructure and build the AI systems that change how this company operates.

This is a hybrid role by design. Half of it is making sure the data this business runs on is reliable, accessible, and fast: the pipelines feeding our warehouse, the reporting layer every team depends on, and the endless stream of questions from Ops, Marketing, and Growth. The other half is building the agents and automations that let a small team operate like a much larger one. That second half is not a side project or a someday. It's why this role exists in the shape it does, and it's where the person in this seat will grow.

You'll work directly with our Director of Data Analytics, who owns the company's data and AI mandate. This is a small team with an enormous surface area, so you'll touch everything from a broken ETL job to an agent architecture nobody has built before.

What You'll Do

Own the data foundation

• Maintain and optimize the ETL pipelines feeding our Snowflake warehouse and Metabase reporting layer
• Keep reporting trustworthy. Diagnose anomalies, fix breakages, and improve the things that keep breaking
• Build and extend models, views, and dashboards that teams can actually self-serve on

Be the internal data resource

• Absorb ad hoc requests from Ops, Marketing, and Growth and turn ambiguous business questions into SQL, models, and answers