Binance

Runs a global cryptocurrency trading exchange

AI & Recommendation Product Manager

Product ManagementConfirmed live in the last 24 hours

Full-timeNo salary listed

About the Job

Requirements

A bachelor's degree or above is required; a degree in Computer Science, Statistics, Mathematics, or Financial Engineering is preferred.
At least 5 years of internet product management experience, including at least 3 years in recommendation or growth strategy, with measurable incremental impact from owned strategy initiatives.
A solid understanding of recommender systems, including recall, ranking, re-ranking, features, cold start, and explore–exploit, and the ability to discuss strategy and trade-offs with machine-learning engineers.
Hands-on SQL skills, event-tracking design, rigorous A/B testing including sample size, significance, traffic splitting and guardrail metrics, and attribution.
Experience using AI tools to prototype, retrieve data, and write evaluation sets.
Bilingual skills in English and Mandarin.

Responsibilities

Own personalized presentation of product components and the roadmap for For You recommendations; define problems, mechanisms, and metrics with machine-learning engineers.
Work with data engineers to define user features and pipelines and launch them; evaluate feature coverage, freshness, and contribution to model performance, retiring weak features and adding new ones to improve recommendation models.
Contribute to planning, designing, and delivering AI agents and products; design prompts, retrieval-augmented generation knowledge bases and data-source integration; define agent task flows, capability boundaries, and fallbacks; and use user profiles to personalize AI output.
Build an AI evaluation loop using business metrics, model metrics, and user feedback, including accuracy, hallucination rate, adoption, and bad-case regression sets; establish prompt standards and hard-rule guardrails to make AI output traceable and auditable.
Define north-star and process metrics, including click-through rate, trading conversion, volume, retention, and AI adoption; lead tracking design, A/B testing, and attribution, and drive iteration based on measurable incremental impact.
Work with machine-learning, data, engineering, design, risk and compliance, operations, and business lines including Spot, Futures, Copy Trading, Earn, and Stocks to take products from 0 to 1 and scale from 1 to N.
Lead full-cycle AI product planning, design, and iteration, applying large models and generative recommendation systems to financial trading scenarios.

Desired Qualifications

A degree in Computer Science, Statistics, Mathematics, or Financial Engineering.

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.
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.

About the Company

Binance

Runs a global cryptocurrency trading exchange

Binance runs a cryptocurrency exchange for individual traders and institutions, with markets for buying digital assets outright and trading contracts tied to their prices. Its platform combines spot trading with margin, futures, and options tools, letting users manage several trading strategies through a single account. Customers also buy crypto using supported payment methods, track market prices, and manage portfolios through its website and mobile app. Binance earns trading fees, with rates based on trading volume, account tier, and the type of transaction, and runs research and education services for people learning about digital assets. The business launched in July 2017.

Company size: 5,001-10,000
Company stage: Growth Equity (Venture Capital)
Total funding: $2B
Headquarters: Decentralised
Founded: 2017

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