Product Engineer
About the role
Senior Product Engineer role at FINNY AI, a growth platform for financial advisors, focusing on end-to-end product development across backend and frontend to ship user-valued features in a fast-paced, in-person NYC environment.
Responsibilities
- Own product development end-to-end: take ownership of features or product areas on a 3–6 week cadence, from concept through rollout
- Translate product goals into concrete engineering plans and execution
- Partner deeply with Product & Design: collaborate on ideation, scoping, and prioritization; help turn ambiguous product ideas into clear technical requirements
- Build across the stack: lead development across backend and frontend, with support from domain specialists
Qualifications
- 5+ years of experience building full-stack systems
- Experience working with data-heavy systems and production infrastructure
- Familiar with modern product stacks and tooling
- You’re a product-minded engineer who frames engineering work in terms of user value and business impact
- You enjoy owning a problem end-to-end and seeing it through to customers
- Strong communication, ability to work in-person in NYC (Chelsea), 5 days/week
Skills
Benefits
- Competitive salary and equity
- Medical, dental, and vision insurance
- Flexible paid time off
- Food and meals provided in our NYC office
- Team offsites and events
About FINNY AI
The OS for independent financial advisors
FINNY is building a new operating system for independent financial advisors, and starting by helping them grow. Our goal is to empower the best financial advisors (the independents!) to serve all Americans who want financial advice. We are starting with growth, which is the most existential problem advisors face. The organic growth process is highly inefficient and full of noise. Advisors often waste 60 hours of business development to convert 1 new client. At FINNY, we are certain we can do better with AI. With our tool, advisors can: - Identify prospects within their target niche, aggregating thousands of data points per lead - Prioritize prospects based on their predicted likelihood of converting, a score unique to each advisor and prospect pair - Automate the outreach and meeting scheduling with their high priority prospects In essence, doing all the work for the advisors, and letting them focus on what actually matters, the client relationship.
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