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.
Posted By: Brady Page