AI Platform Product Manager

Description Walmart Global Tech's presence in Israel has grown over the past few years through 4 acquisitions to date, and this team sits at the core of Walmart's e-commerce platform — the largest retailer in the world. You'll join an AI Platform team that applies advanced Data Science, NLP, ML, and LLM-based capabilities to infer deep product insights. Your Mission: You bridge complex technical infrastructure and data-science-driven capabilities, turning diverse requests from product teams into a unified, scalable platform roadmap. This is a high-visibility role requiring strong execution and the ability to align engineering, data science, and global stakeholders. Responsibilities: • Platform Roadmap: Turn diverse requests from product teams into a unified, scalable platform roadmap — prioritized by business impact and scalability. • Cross-Functional Execution: Partner with Data Science, Engineering, and Product teams to resolve dependencies and ship reliably at scale. • Global Collaboration: Work seamlessly with Israel-based and US/global teams, bridging timezones and working styles. Requirements • 2–4 years of PM or Technical PM experience in backend, platform, API, or data-driven environments. • Strong ability to abstract specific feature requests into generalized, reusable platform capabilities. • A B.Sc. in Computer Science, Software Engineering, or a related technical/quantitative field — or meaningful equivalent experience. • Deep comfort with technical systems: REST APIs, databases, ETL pipelines, and high-scale data infrastructure. Strong conceptual grasp across the stack (Kafka, NoSQL, BigQuery, agentic/MCP platforms, and similar). • Bias for action — extremely organized, execution-focused, and eager to move fast in ambiguity. • Professional working proficiency in English (spoken and written) — fluent enough to own async communication, lead cross-timezone meetings, and write precise technical specs with a global team. Advantages & Nice-to-Haves • B2C e-commerce or consumer product background — consumer intuition helps prioritize the right platform signals. • Hands-on experience working alongside Data Science on model evaluations or quality frameworks. Who Thrives Here We especially appreciate people who... • Are genuinely excited by the challenge of building infrastructure that scales to hundreds of millions of shoppers — even when the work itself is invisible to them. • Learn fast, share ideas openly, and give honest feedback. • Have a can-do attitude and thrive in ambiguous, fast-moving environments. • Think in systems — connecting a single technical decision to its impact across every team and surface it touches. Not sure you fit all the criteria? Apply anyway — let us decide.