Full Stack Engineer

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

1. Initial recruiter screen
2. Founder/lead screening
3. Coding interview
4. Technical deep-dive or live coding
5. Onsite (3-4 hours) covering technical, communication, and culture fit
6. 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.