An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Tetrix is a fast-growing startup redefining private market data analytics. You will build and own AI/ML systems, including agentic workflows for automated document retrieval, and an extraction/normalization engine that processes complex PDFs and reports.
You’ll contribute to AI strategy, model choices, and product direction, while collaborating with clients. Hybrid role based in New York City and Montreal, with competitive salary, equity, healthcare, and unlimited PTO.
Job Description:
Location
New York City; Montreal
Employment Type
Full time
Location Type
Hybrid
Department
Engineering
Tetrix is a fast-growing startup on a mission to empower institutional investors to confidently invest in alternative markets (think Bloomberg, but for private markets). Our AI-native product transforms messy, unstructured private market data into real-time insights, combining automated document retrieval, AI-powered data extraction, and on-demand portfolio analytics - all in one seamless platform. We are growing quickly to becoming a category-defining product, and are working with some of the world's leading capital allocators. This is a unique opportunity to join a talented and driven team that wants to build next-generation infrastructure in financial markets, and is backed by stellar investors that include Innovation Endeavors, White Star and angels from Goldman Sachs, BlackRock, CPPIB, SoftBank, Lending Club, and Plaid.
We are a small but mighty startup with deep industry background and expertise in both financial markets and modern technologies. We’ve worked hard to build a culture of trust, high ownership, and curiosity - where everyone feels empowered to contribute, challenge ideas, and grow together. We are led by our two co-founders, Olivier (CEO) & Naunidh (CTO), who met on the first day of school whilst pursuing their MBAs at Stanford and co-founded Tetrix in the Summer of 23.
If this role sounds exciting but you’re second-guessing whether you’re “qualified” enough— Great talent doesn’t always fit neatly into a checklist, and we know that underrepresented folks often underestimate their fit. We care more about the ideas you bring, your ability to learn, and your enthusiasm for the work than about whether your resume matches every bullet point. The company we’re building will shape how financial systems work for years to come. That’s why we’re committed to building a team with diverse voices, perspectives, and lived experiences. Diversity isn’t a nice-to-have—it’s a must-have. And we’d love to be part of that.
Compensation Range: $180K - $230K
Requirements: