Fullstack Product Engineer / React + Node / Onsite (Flatiron NYC)

Fullstack Product Engineer — NYC (On-site, 5 days/week)
Comp: $150K–$300K + highly competitive equity

Experience: 3–10 years building 0?1 products

Visa: Available

A fast-growing AI company in NYC (Flatiron) backed by top-tier investors recently raised a $30M Series A and is building end-to-end AI systems for accounting and finance workflows. The team is scaling quickly and is hiring a Fullstack Product Engineer to own major product surfaces and ship real, production-grade features used by customers daily.

What You’ll Do

Own product features end-to-end—from idea ? design ? build ? deploy.

Architect full-stack systems spanning frontend, backend, and APIs.

Work closely with users and internal teams to shape product direction.

Drive high-quality execution in a fast, iterative environment.

Contribute to engineering culture and mentor teammates.

What We’re Looking For

Deep experience in at least one full-stack language + strong product sense.

Background in high-velocity environments (early-stage startup or quant-style engineering team).

Demonstrated ownership and meaningful impact in past roles.

Strong tenure (2+ years) and evidence of progression.

Strong academic foundation (top global university, strong GPA).

Passionate about solving complex problems in a collaborative, in-person setting.

Bonus Skills

Product management instincts: user research, iteration, feedback loops.

Experience with AI/LLM-integrated products.

Why Join

Backed by world-class ML + fintech investors.

10× revenue growth in the past 5 months.

High ownership from day one; build at the edge of ML + finance.

Work alongside top engineers, ML researchers, and domain experts—all on-site in NYC.

High risk, high reward environment with significant equity.

Interview Process

Initial recruiter screen

Founder/lead screening

Coding interview

Technical deep-dive or live coding

Onsite (3–4 hours) covering technical, communication, and culture fit

References

If you're excited to build ambitious AI products and want to own meaningful surface area in a rapidly scaling environment, this role is for you.

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