Motion Recruitment | Jobspring | Workbridge

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

Toronto, ON

Onsite

Direct Hire

$150k - $300k

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.

Posted by: Henry Mills

Specialization:

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