Product Manager, Invest / Trade

Gemini•New York, NY

1d•$120,500 - $165,000•Hybrid

About The Position

Gemini is building the best way to trade and invest, and has launched a new stock trading product. This role is for a Product Manager to help own this product from the ground up, shaping how customers buy, sell, and track stocks on Gemini, and demonstrating that a crypto-native platform can be the best place to trade equities. The ideal candidate will combine a drive for innovation with a thorough understanding of both traditional and digital assets trading and performance, aiming to set new benchmarks in user experience and operational excellence. Working closely with Engineering, Design, Data, and Marketing, as well as across the Product organization, the candidate will employ a data-driven decision-making process and a growth mindset to ensure the platform's features and functionality lead the market in innovation, efficiency, and excellence. This is a highly visible role at the center of the Stocks roadmap, and the candidate will be one of the first PMs on a product that is still being defined, designed for a builder who wants to set the strategy and create exciting new user experiences. This role requires being in person twice a week at the New York City, NY office.

Requirements

2-4 years of product management experience, ideally at a high-growth tech company or fintech.
AI pilled - you leverage Claude and other AI tools in your day to day.
A genuine interest in stock trading and investing. You don't need to have been a professional trader, but you should be someone who actually trades or follows markets.
A bias toward action: you'd rather ship something small and learn than wait for the perfect plan.
Strong written communication and interpersonal skills. You can turn a messy problem into a clear spec or a tight Slack update.

Responsibilities

Own specific parts of the stock trading experience end-to-end from the first customer insight to a shipped feature customers use.
Dig into customer behavior, support tickets, market research, and trading instincts to find the highest-leverage problems to solve next.
Write clear specs, make the tradeoffs explicit, and drive features from idea to launch alongside Engineering, Design, Data, and Marketing.
Sweat the details including onboarding flows, order execution, statements, and edge cases.
Ship fast, measure, and iterate.