Pro members applied to this job 36 hours before you saw itGet Pro ›

Binance - Product Manager - AI

Hong Kong; Singapore2d ago

In Office Mid APAC Product Manager Mandarin SQL CTR Cross-functional Collaboration

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. • 5+ years of internet product management, including 3+ years in recommendation / growth strategy • 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.

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. • Recommendation strategy • 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. • User features • 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 products • 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. • AI evaluation & compliance guardrails • 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. • Data & experimentation • 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. • Cross-functional collaboration

Benefits

• 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)