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Open nowFirst seen 4 days ago

AI Platform Product Manager

walmart/35.0001 open role

Where
Tel Aviv
Work mode
On site
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Your applicationOpen nowAI Platform Product Managerwalmart/35.000 · Tel Aviv
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Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 4 days ago

The posting

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.

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