Job Description:
Location
New York City; Montreal
Employment Type
Full time
Location Type
Hybrid
Department
Engineering
Compensation
- $180K – $230K
- Offers Equity
- 401k Matching, Healthcare Insurance, Unlimited PTO
Overview
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.
Who We Are
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.
Who you are
- You’re proactive and hands‑on – someone who takes initiative, figures things out, and keeps things moving.
- You learn and adapt quickly – someone who approaches problems with creativity and energy, and is resourceful, adaptable and excited by tough challenges.
- You’re customer‑oriented – whether designing new features, data ingestion pipelines or building robust APIs, you keep institutional investors in mind and focus on creating reliable, scalable systems that deliver clean, auditable data and delightful speed/accuracy.
- You’re collaborative – someone who values transparency, good communication, and knows that the best outcomes come from working well with others.
- You’re experienced and thoughtful – 5+ years building scalable services, data pipelines, or production systems, ideally in fast‑paced or entrepreneurial environments. Strong experience with asynchronous Python, APIs, and data‑heavy workloads is highly valued. Bonus points if you’ve contributed to open source
What you’ll do
- You’ll build – data models, core backend infrastructure and services, as well as ship out new features, in Python - owning scalable APIs, robust data ingestion pipelines that pull documents from dozens of private market portals, event‑driven processing systems, and integrations that feed our proprietary AI extraction engine.
- You’ll brainstorm – We’re not looking for someone to just take tickets—we want you in the room helping us shape product direction and tech strategy.
- You’ll work with clients – From pitching customers, to designing features, to soliciting feedback, you’ll do some non‑engineering work. We believe in all‑rounded team members.
- You’ll champion best practices and guide others – As a B2B SaaS platform, our technology needs to be secure, robust and scalable. You’ll help set and maintain standards and mentor future team members.
Why join us
- You’ll have real impact - We are at an inflection point - your work will directly shape our product, team, and company trajectory.
- You’ll be supported - We’re committed to helping you do your best work and grow both professionally and personally.
- You’ll be rewarded - Competitive salary, meaningful equity, and benefits including unlimited vacation, healthcare, and retirement plans.
- You’ll grow fast - We move quickly, think deeply, and believe in learning through doing. You’ll be surrounded by smart, driven, kind people.
- You’ll have fun - Shipping is inherently fun, winning is even more fun, and when all else fails, we have plenty of fun in and out of the office.