AliExpress-User Product Head — New York, United States

Key Responsibilities：

• AI-Native User Product Vision: Define and execute the end-to-end product strategy for user-facing products, transforming traditional user journeys into intelligent, AI-powered experiences.

• GenAI & Next-Gen Experiences: Drive productization of Generative AI in user-facing scenarios—conversational shopping agents, automated multilingual localization, AIGC content, and AI-assisted payment & checkout.

• User Journey & Country Product: Own the end-to-end user journey (discovery entry, product detail, cart, checkout, post-purchase) and country-specific product strategies—localizing experiences, payment methods, and compliance for key markets.

• Payment & Transaction: Lead product strategy for payment flows and transaction flows—driving conversion, success rate, and AI-powered fraud/risk experiences from the user's perspective.

• Product Leadership: Build, mentor, and scale a world-class user product team, setting high standards for product craft, technical depth, and AI-first execution.

Qualifications：

• Experience: 8+ years in product management leading consumer-facing products at scale, with a proven track record of shipping AI/ML-driven features to production. Experience with user journeys, country/localization products, or payment flows is highly preferred.

• AI/ML Fluency: Strong intuition and practical understanding of modern AI paradigms—Foundation Models, LLMs, Agentic architectures—as applied to user-facing products. (This role does not own search & recommendation.)

• Product Craft: Proven ability to turn complex algorithms and cutting-edge tech into simple, delightful, high-conversion user experiences.

• Strategic & Analytical Rigor: Comfortable making data-driven decisions at massive scale, balancing long-term bets with immediate consumer impact.

• Leadership: Demonstrated ability to lead high-performing user PM teams and build strong alignment with engineering, algorithm teams, and executive stakeholders.

Preferred

• Computer Science, AI, or technical quantitative background.

• Experience in tier-1 global tech companies or high-scale cross-border e-commerce platforms, with a focus on consumer-facing products.

• Background in payment products, country/localization strategy, or user journey optimization.