Job description

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 Work directly with stakeholders to understand what they're really asking, which is rarely what they first ask for Push the organization toward self-service instead of becoming a query queue Build AI into how the company works Design and ship AI agents and agentic workflows that reason, use tools, retrieve information, and execute multi-step tasks Build the skills, orchestration layers, and human-in-the-loop systems that let non-technical teams operate at 10x Integrate LLMs from Anthropic, OpenAI, and elsewhere into internal tooling and customer-facing products Build retrieval and semantic search over our ingredient library, research, and customer data Prototype fast, test with real users, and turn what works into something reliable Stay close to emerging AI research, models, and tooling, and determine what's actually useful versus hype What We're Looking For Strong SQL. You've written real queries against real warehouses. Not notebook exercises Hands-on experience with data pipelines and ETL , including the unglamorous work of keeping them running Experience with a BI tool such as Metabase, Looker, Tableau, or equivalent Hands-on experience building with LLMs : prompting, retrieval, context management, tool use, and agentic patterns Solid fundamentals in databases and APIs Ability to move from an ambiguous business question to a working prototype to a reliable production system Strong product instincts and the ability to tell where AI creates real value versus where it's theater Comfort with ambiguity and a genuine preference for ownership over tickets Nice to Have Python and modern backend development experience Front-end or web development experience. Being able to support our website when needed is a bonus, not a requirement Experience with subscription, DTC, or e-commerce data models Experience with Snowflake specifically Experience with vector databases (pgvector, Pinecone, Qdrant, or similar) and RAG architectures Experience building evaluation or monitoring systems for LLM applications Experience with AWS, GCP, or Azure Experience at an early-stage or high-growth company Contributions to AI research, open-source projects, or technical publications How You'll Work 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. In Your Application Tell us about something you built with AI that nobody asked you to build. A Few of Our Perks and Benefits 💵 Competitive compensation with an exceptionally generous equity package 🩺 Competitive health, dental, and vision plans (including a 100% covered premium plan for all 3!) 🚆 HSA, FSA and pre-tax commuter benefits for parking and transit 🚀 Ancillary benefits through Talkspace, One Medical, Kindbody, Teladoc, Classpass and more! 📈 401k to help you plan for the future 🏖 Flexible PTO because we respect the need for work/life harmony 💊 Unlimited (yes, unlimited) Thesis nootropics 🎓 A strong emphasis on promoting from within and personal development 🐕 A dog-friendly office located in the heart of Flatiron steps from Union Square and Madison Square Park 🏢 Hybrid work model Our Values 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. Pay Transparency $120,000 — $150,000 USD

Requirements

Must-haves

Analytics Engineer
New York, NY (Hybrid, Flatiron) | $120,000 - $150,000 base + equity
We're looking for an Analytics Engineer to own our data infrastructure and build the AI systems that change how this company operates.
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
Work directly with stakeholders to understand what they're really asking, which is rarely what they first ask for
Push the organization toward self-service instead of becoming a query queue
Build AI into how the company works

Nice-to-haves

Python and modern backend development experience
Front-end or web development experience. Being able to support our website when needed is a bonus, not a requirement
Experience with subscription, DTC, or e-commerce data models
Experience with Snowflake specifically
Experience with vector databases (pgvector, Pinecone, Qdrant, or similar) and RAG architectures
Experience building evaluation or monitoring systems for LLM applications
Experience with AWS, GCP, or Azure
Experience at an early-stage or high-growth company
Contributions to AI research, open-source projects, or technical publications
How You'll Work
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.
In Your Application

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aisqlpythonllmawsgcpazure

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto