AI & Recommendation Product Manager

Binance

Hong Kong

Remote

HKD 900,000 - 1,300,000

Full time

14 days+

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Benefits offered by this job

Remote-first work
Competitive compensation
Career growth opportunities

Job summary

Binance is seeking an experienced AI Product Manager to build core AI products for our trading platform, focusing on large model applications and generative recommendation systems. You will own the end-to-end product lifecycle from planning to iteration, working with ML engineers, data teams, and cross-functional partners to drive user engagement and trading conversion.

You should bring 5+ years in internet product management (3+ in recommendations), strong SQL/data skills, and a builder

Qualifications

  • 5+ years of internet product management, including 3+ years in recommendation/growth strategy with measurable impact.
  • Solid understanding of recommender systems and trade-offs with ML engineers.
  • Strong data skills including SQL, event tracking, and rigorous A/B testing.
  • Builder mindset with ability to prototype and evaluate data.
  • Bilingual in English and Mandarin.

Responsibilities

  • Own personalized presentation strategies for For You recommendations and roadmap with ML engineers.
  • Define user features, pipelines, feature coverage, freshness, and model contribution.
  • Plan, design and deliver AI agents and prompts; integrate data sources and knowledge bases.
  • Build evaluation loops for business metrics, model metrics, and user feedback with guardrails.
  • Lead north-star metrics, tracking design, and attribution; drive data-driven iterations.
  • Collaborate with ML, data, engineering, design, risk, compliance, ops and business lines to scale products.

Skills

Product management
AI/ML awareness
SQL & data analysis
A/B testing design
Cross-functional collaboration
bilingual English Mandarin

Education

Bachelor’s degree or above (CS/Statistics/Math/Financial Eng)

Tools

AI tooling
Experimentation platforms

Job description

Binance is a leading global blockchain ecosystem behind the world\u2019s 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.
  • - 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.
Why Binance
  • - 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 enviornment 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.

By submitting a job application, you acknowledge that you have read our Candidate Privacy Notice .

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.

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