Senior Software Engineer

New York, NY or San Francisco, CA · On-site (5 days/week) · Full-time
Compensation: $230K–$280K + equity

About the Company

Our client is an early-stage, still-in-stealth AI data-infrastructure company building the data-production pipelines that power the world’s leading AI labs, with particular depth in high-value domains like finance. The founding team comes out of a major AI-data company and a frontier AI lab, and the company already partners with top labs on some of the most important capability areas in AI. This is a rare chance to join a small, high-caliber team as an early builder.

Recently founded · ~30 people · Industry: AI, Data, Finance

The Role

As a Senior Software Engineer, you’ll join as one of a small cohort of early builders, owning the hardest and most ambiguous features end-to-end, making the architectural calls that keep the team shipping fast, and acting as a force multiplier for a lean engineering team.

What you’ll be doing

Own end-to-end development of the platform that automates data-production pipelines for frontier AI labs
Make architectural and design decisions independently, raising the bar for how the product looks, feels, and performs
Act as a technical lead for a small pod of engineers, mentoring and unblocking teammates
Partner directly with operations to turn high-leverage problems into product solutions
Use AI coding tools daily to multiply your output while critically evaluating their results

Tech stack: TypeScript · Full-stack (frontend + backend) · AI coding tools (Cursor, Copilot)

Requirements

5–10 years building full-stack product engineering, with a track record of owning architecture decisions or mentoring other engineers
Hands-on experience at a startup or small team shipping products from 0→1
A product-minded builder who talks to users and makes design calls independently
A CS or technical degree (Math, Physics, Engineering) from a strong program
A full-stack generalist comfortable working across frontend, backend, and infrastructure
Daily, critically-evaluated use of AI coding tools (e.g. Cursor, Copilot)
Clear communicator who works well with non-technical operators and stakeholders

Nice to Haves

DevOps / infrastructure experience
Strong product and design taste — you care about how things look and feel

Why Join

Join an early-stage AI company already working with top AI labs while still in stealth
Real ownership and outsized impact as one of the first engineers on a lean, high-caliber team
Competitive cash compensation plus meaningful equity