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.
The Item Intelligence Platform is the intelligence layer behind item-level insights at global e-commerce scale — applying advanced Data Science, NLP, ML, and LLM-based capabilities to infer deep product insights. One flagship capability alone serves over 240 million sessions daily. The platform stands on three pillars: Discoverability, Platform Federation, and Capabilities Evaluation (the authoritative quality stamp).
Your Mission:
You bridge complex technical infrastructure and data-science-driven capabilities — understanding the DS and Data Engineering spectrum deeply enough to shape what the platform serves, how it serves it, and what quality means before anything reaches a downstream consumer. You identify the common platform needs underneath diverse requests and translate them into a unified, scalable roadmap.
What you'll do
Platform Abstraction & Roadmap: Gather complex requests from downstream e-commerce experience teams, extract common underlying technical needs, and synthesize them into a generalized platform roadmap.
Dependency & Prioritization: Navigate dependencies between DS models, platform engineering, and consuming teams. Prioritize by business impact, ease of implementation, and scalability.
Capability Serving & Production Awareness: Ensure item insights are served reliably at <30ms latency, supporting up to 240M daily sessions. Own platform SLAs, error handling, and robust technical designs.
DS Collaboration & Evaluation Literacy: Work closely with Data Science teams as a product partner: understand model outputs, capability evaluations, and quality signals, and translate them into platform priorities. Contribute to quality criteria, shape evaluation frameworks, and co-define what a capability needs to demonstrate before it serves at scale.
Cross-Functional Collaboration: Partner with Data Scientists, Backend Platform Engineers, Backend PMs (IDC & US), TPMs, and consumer-facing Experience PMs across Tel Aviv, IDC, and the US. Your platform is the shared infrastructure those teams depend on — you are the internal API they call when they need something built.
Global Alignment: Bridge timezones and working cultures across the IDC team, US partners, and the broader Walmart Global Tech org. You will own async written communication, lead cross-timezone syncs, and be the platform voice in both Israeli-direct and US-structured conversations.
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.
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.