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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.
What you'll do
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.
Nice to have
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.