AI Platform Product Manager

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.

• 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.