This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Help empower our global customers to connect to culture through their passions. StockX is building the most trusted, data-driven marketplace in the world — and buyer experience is where that trust either compounds or erodes. As a Senior Product Manager, Buyer Experience, your mission is to use data, experimentation, and applied AI to make StockX feel unmistakably personal, intelligent, and reliable for every buyer. This role exists to move the buyer experience from static and reactive to adaptive and predictive. You’ll lead product strategy at the intersection of personalization, trust, and conversion, using machine learning, behavioral signals, and rigorous measurement to drive meaningful business impact. Your work will directly influence GMV, conversion, repeat purchase, and buyer lifetime value at global scale.
Job Responsibility:
Buyer Experience & Personalization Vision: Own the product vision and roadmap for core buyer-facing experiences that drive purchase confidence and conversion
AI & Data-Driven Product Strategy: Partner closely with Marketing, Business teams, Data Science and Analytics to define and operationalize personalization strategies using machine learning models, behavioral signals, and buyer segmentation
Translate complex data insights into clear product bets that improve buyer relevance, pricing confidence, messaging clarity, and decision-making at the point of purchase
Lead the evolution of experimentation frameworks to continuously test, validate, and scale buyer experience improvements
Collaborate with Engineering to ensure personalization and AI-powered features are production-ready, scalable, and measurable
Work cross-functionally with Engineering, Trust, Operations, and Marketing to ensure AI-driven experiences reinforce transparency and marketplace integrity
Establish clear success metrics and dashboards to evaluate impact and guide prioritization, making tradeoffs grounded in business outcomes rather than intuition
Act as a strong advocate for responsible, explainable personalization that enhances trust and avoids dark patterns or buyer confusion
Influence broader platform strategy by representing buyer needs and data-backed insights beyond your immediate roadmap
Requirements:
Bachelor’s degree in Business, Computer Science, Engineering, or a related field
MBA a plus
5+ years of product management experience in eCommerce, marketplaces, or consumer technology
Proven experience partnering with Data Science teams to ship ML-powered or algorithm-driven products
Strong analytical fluency — comfortable with experimentation design, KPI definition, and interpreting model outputs and tradeoffs
Experience driving personalization, recommendations, ranking, pricing, or segmentation initiatives at scale
Deep appreciation for trust, transparency, and ethical use of data in high-consideration purchases
Able to lead through influence in cross-functional, highly technical environments
Motivated by mission-driven work and building intelligent systems that earn buyer trust over time