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Overview
Gate.io is seeking a Mid-Senior Product Manager for US Stocks to design and enhance trading products, ensuring clarity and usability for users. This remote role focuses on delivering core trading modules to improve conversion, retention, and trading efficiency. Gate.io is one of the earliest and largest digital asset platforms globally, serving tens of millions of users. As one of the top exchanges, we provide a full suite of trading and wealth management products covering thousands of digital assets. We operate with a remote-first, highly autonomous culture, attracting talent that thrives in fast-paced, intellectually intense environments. We are building the financial infrastructure for the next generation of the internet.
Responsibilities
- β’Plan and design trading product modules covering stocks, ETFs, options, margin trading, market data, account assets, order management, risk control, and trading tools.
- β’Translate market rules into product logic, including order types, trading hours, matching behavior, fee structures, corporate actions, positions, assets, and exception processes.
- β’Produce rigorous PRDs, interaction flows, prototypes, field logic, calculation formulas, risk control rules, backend configuration logic, and acceptance criteria.
- β’Optimize order placement, asset display, risk prompts, and post-trade review experiences for novice, active, and professional investors.
- β’Formulate product roadmap and prioritization based on market research, competitive analysis, user feedback, and data performance to enhance trading efficiency and product competitiveness.
- β’Safely use AI tools to conduct competitive research, requirement gathering, PRD writing, prototype conception, data analysis, and financial product opportunity discovery.
Requirements
Non-negotiables
- β’You have delivered production-grade financial trading products and have fully experienced research, design, launch, review, and continuous iteration.
- β’You understand US stock trading logic, covering stocks, ETFs, options, margin trading, order types, positions, assets, fees, market data, risk control, and trading hours.
- β’You can clearly design complex trading scenarios, including field definitions, calculation logic, exception handling, risk prompts, and backend configurations.
- β’You can drive consensus among R&D, design, testing, operations, compliance, risk control, customer service, and marketing teams, clearly articulating trade-offs.
- β’You can use AI tools within boundaries, understanding the importance of information security, data privacy, compliance constraints, output validation, and secondary processing.
Bonus
- β’You can participate in meetings, email communications, requirement documentation, or competitive materials writing in English.
- β’You are familiar with the Hong Kong stock market, cross-border investments, internet brokerage products, or financial qualification systems such as securities and funds.
- β’You have explored the application of AI in user education, intelligent customer service, investment research assistance, trading reminders, risk control prompts, or operational efficiency improvements.