Analytics Engineer
Thesis · New York, NY ·
- Work mode
- Hybrid
- Category
- Data analytics
- Salary
- USD 120,000 – 150,000 / year
Thesis · New York, NY ·
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The Analytics Engineer will own data infrastructure—maintaining ETL pipelines into Snowflake, building Metabase dashboards, and handling ad‑hoc queries—while also designing AI agents and LLM‑driven workflows to automate operations. Core tech: SQL, Snowflake, Metabase, LLMs (Anthropic/OpenAI).
New York, NY (Hybrid, Flatiron) | $120,000 - $150,000 base + equity
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.
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.
Own the data foundation
Be the internal data resource
Build AI into how the company works
You'll thrive here if you're deeply curious about AI but fundamentally an engineer and a builder. You like experimenting with new technology, but you care even more about whether it works reliably in the real world.
One thing matters more to us than anything on the list above. We care less about what you already know than how you learn. The AI tooling landscape resets every few months, and the people who do well here are the ones running their own experiments, reading past the hype cycle, and showing up with approaches nobody asked them for. If you use AI the way most people use Google search, this will be a frustrating job.
You're comfortable operating with ambiguity, taking ownership of problems from idea through deployment, and moving quickly without sacrificing quality. You're excited by the chance to help define what an AI-native company looks like rather than adding AI features to existing workflows.
Tell us about something you built with AI that nobody asked you to build.
Meet Your Potential: At Thesis, we create opportunities for personal and professional growth. We reward hard work, dedication, and an entrepreneurial spirit. We believe in open and honest feedback to help us continually learn and improve. In return, we are committed to providing the resources, support, and guidance for our team to achieve their ambitions and meet their potential.
Own Outcomes: We are driven by achieving meaningful results, both for our customers and our business. We're proactive, conscientious, and take responsibility equally in times of triumph and challenge. We also operate with a sense of urgency because we want to seize the opportunity to create a new category and bring nootropics to everyone who needs them.
Lead with Science and Data: We are obsessed with data to understand our impact, and always seek the truth through objective metrics that help us make informed decisions. Science and evidence underpin everything we do, from product formulation to marketing claims. We're committed to making the highest quality nootropics on the market and measuring our efficacy.
Create Exceptional Experiences: We are committed to creating a work environment that fosters a unique culture and deep sense of belonging. We create exceptional experiences by showing up for each other, giving each other the benefit of the doubt, and building an inclusive and warm environment, in and outside of the office. We're equally committed to showing up for our customers by delivering a thoughtful and impactful experience for anyone who tries one of our products.
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