Full Stack Engineer

New York, New YorkHybridDirect Hire$150k - $300kFullstack Product Engineer — NYC (On-site, 5 days/week)Comp: $150K–$300K + highly competitive equityExperience: 3–10 years building 0?1 productsVisa: AvailableA 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 DoOwn 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 ForDeep 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 SkillsProduct management instincts: user research, iteration, feedback loops.Experience with AI/LLM-integrated products.Why JoinBacked 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 ProcessInitial recruiter screenFounder/lead screeningCoding interviewTechnical deep-dive or live codingOnsite (3–4 hours) covering technical, communication, and culture fitReferencesIf 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.