About this role

▸about Binance — company background

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, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

We're looking for a Product Manager to own and drive the core platform experience and AI-powered personalization across our main site. You'll be responsible for optimizing the end-to-end user journey — from onboarding to activation — while leveraging AI to deliver highly personalized experiences at scale. This is an IC role with high autonomy and direct impact on millions of users.

Responsibilities

Own and drive core platform features across Homepage, User Center, AI Generative UI, and Market pages — including general site operations, compliance tracking, localization, and content display configuration.

Design and optimize onboarding flows and user journeys to improve new user conversion and activation across key touchpoints, applying strong UI/UX sensibility and design thinking to 2C product experiences.

Design and iterate on recommendation and personalization strategies to achieve personalized content delivery; partner with engineering teams to build and refine personalization engines and generative UI experiences that adapt to user context.

Drive cross-functional execution across engineering, design, data, and business stakeholders, and ensuring product delivery with strong stakeholder management.

Collaborate with AI teams search/recommendation algorithms and LLM teams to translate model capabilities into user value.

Define success metrics, run experiments, and iterate based on data — apply a rigorous, data-driven methodology to all product decisions; support business units with exposure and growth initiatives across the App.

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