Product Manager, Internal Supply Chain Tools & AI

Applied Intuition

Sunnyvale (CA)

On-site

USD 140,000 - 200,000

Full time

12 days ago
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Job summary

Applied Intuition is seeking a product manager to own internal supply chain systems and data, aligning supplier management, logistics, trade compliance, and workflows with finance, IT, legal, engineering, PM, and operations.

The role focuses on turning complex supply chain processes into clear data models and product surfaces, collaborating with IT and cross-functional teams to define design decisions and prioritization, while exploring AI/automation to reduce manual work.

Qualifications

  • Supply chain systems experience across data, platforms, workflows, or internal tools.
  • Ability to reason through system design, data models, and technical tradeoffs with IT.
  • Experience shipping products that create measurable operational leverage.
  • Familiarity with ERP or MRP systems, ideally including NetSuite or Zip.
  • Strong written communication for requirements, prioritization, and product rationale.

Responsibilities

  • Own product direction for end-to-end supply chain systems and data.
  • Define workflows and product surfaces for supplier management, logistics, and trade compliance.
  • Turn supply chain complexity into clear data models, requirements, and prioritization.
  • Partner with IT and cross-functional teams on system design and technical tradeoffs.
  • Identify where AI and automation can replace manual operational process.

Skills

Supply chain systems
Data models
System design reasoning
Cross-functional collaboration

Tools

NetSuite
Zip ERP

Job description

Applied Intuition is seeking a product manager to own internal supply chain systems and data, aligning supplier management, logistics, trade compliance, and workflows with finance, IT, legal, engineering, PM, and operations.

The role focuses on turning complex supply chain processes into clear data models and product surfaces, collaborating with IT and cross-functional teams to define design decisions and prioritization, while exploring AI/automation to reduce manual work.

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