Product Manager - AI
Owns end-to-end planning, design, and iteration of AI products for Binance's crypto trading platform — LLM-based generative recommendations, trading signals, AI-assisted decisions, and personalized investment insights — working with algorithm, backend, and data teams using LLMs, prompt engineering, RAG, and A/B testing.
- Compensation
- Not disclosed
- Location
- Hong Kong; Singapore
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Product
- Posted
Skills
Must have
- Bachelor's degree or above, preferably in Computer Science, AI, Data Science, or Financial Engineering
- 5+ years of product management experience, including at least 2 years in AI or LLM-related products
- Strong understanding of LLMs, generative AI, and recommendation systems; familiar with prompt engineering, RAG, and vector retrieval
- Strong AI product sense and execution ability to turn model capabilities into reusable product modules
- Familiar with recommendation system fundamentals such as recall, ranking, and cold start
- Strong data analysis skills, proficient in SQL and BI tools; able to independently design tracking, A/B tests, and performance analysis
- Excellent cross-functional communication and stakeholder management skills
- Strong interest in financial trading scenarios with ability to quickly learn fintech and trading business logic
Nice to have
- Background in finance, securities, trading, or wealth management
- Experience building products such as robo-advisors, AI wealth assistants, or intelligent recommendation systems from 0 to 1
- Experience designing and delivering LLM application-layer products such as copilots, agents, or conversational AI
- Experience with or understanding of LLM-based generative recommendation
- Master's degree in AI/ML, Computer Science, or Financial Engineering
- Understanding of crypto markets and trading mechanisms; Web3 industry experience
- Technical background with the ability to read algorithm design documents and work closely with ML/algorithm engineers
- Proven success building AI-native products from 0 to 1
Full description
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.
We are recruiting an experienced AI Product Manager to build core AI products for our trading platform. This role focuses on large model application and LLM generative recommendation system development, combining AI technology with financial trading scenarios to drive business growth and user transaction conversion. Benchmarking mature financial AI products from Tonghuashun, East Money and Ant Fortune, you will lead full-cycle AI product planning, design and iteration.
Responsibilities
- Recommendation strategy: Own personalized presentation of product components and the strategy roadmap for "For You" recommendations; define problems, mechanisms and metrics together with ML engineers.
- User features: Work with data engineers on user feature definitions, pipelines and launch; evaluate feature coverage, freshness and contribution to model performance, retiring weak features and adding new ones to keep improving the recommendation models.
- AI products: Contribute to the planning, design and delivery of AI agents and AI products; design prompts, RAG knowledge bases and data-source integration; define agent task flows, capability boundaries and fallbacks, and use user profiles to personalize AI output.
- AI evaluation & compliance guardrails: Build the evaluation loop of business metrics + model metrics + user feedback (accuracy, hallucination rate, adoption, badcase regression sets); set prompt standards and hard-rule guardrails so AI output is traceable and auditable.
- Data & experimentation: Define north-star and process metrics (CTR, trading conversion, volume, retention, AI adoption); lead tracking design, A/B testing and attribution, driving iteration by measurable incremental impact.
- Cross-functional collaboration: Work closely with ML, data, engineering, design, risk & compliance, operations and business lines (Spot / Futures / Copy Trading / Earn / Stocks) to take products from 0→1 and scale from 1→N.
Requirements
- Bachelor's degree or above; CS, Statistics, Math or Financial Engineering preferred.
- 5+ years of internet product management, including 3+ years in recommendation / growth strategy, with measurable incremental impact from strategy initiatives you owned.