Product Manager - AI

About the Position

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, bad case 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.
• Solid understanding of recommender systems (recall, ranking, re-ranking, features, cold start, explore–exploit); able to discuss strategy and trade-offs with ML engineers.
• Strong data skills: hands-on SQL, event tracking design, rigorous A/B testing (sample size, significance, traffic splitting, guardrail metrics), and attribution.
• Builder mindset: a heavy user of AI tools who prototypes, pulls data, and writes eval sets - not just PRDs.
• Clear structured thinking; able to drive alignment and execute under ambiguity.
• Bilingual Skills: English and Mandarin.

We Offer

• Shape the future of finance
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle challenging projects in a fast-paced and innovative environment with autonomy
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.