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Supply Chain Enterprise Program Manager

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: Meta
Full Time position
Listed on 2026-08-03
Job specializations:
  • IT/Tech
    Change Management, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 189000 - 258000 USD Yearly USD 189000.00 258000.00 YEAR
Job Description & How to Apply Below

You are an experienced, Supply Chain Enterprise Program Manager who will lead the end-to-end delivery of a multi-year enterprise AI solution designed to improve how our supply chain operates. This role requires strategic ownership of program direction and delivery outcomes. You own the strategic direction of a complex program, drive structured decision-making across ambiguous problem spaces, and hold both internal teams and external partners accountable to defined milestones and quality standards.

You operate at the intersection of AI/ML technology, enterprise systems architecture, and real-world supply chain operations, bridging the gap between what's technically possible and what delivers measurable business transformation.

Supply Chain Enterprise Program Manager Responsibilities:
  • Partner internally with Enterprise Engineering and externally with solution partners to define and own the multi-year program roadmap, milestones, and success criteria for the enterprise AI solution across Reality Labs Supply Chain
  • Translate ambiguous business problems into structured, executable program plans with clear decision frameworks and exit criteria
  • Own the problem definition, requirements, and acceptance criteria, acting as the voice of supply chain operations in technical decisions
  • Drive alignment and accountability across engineering, data science, operations, finance, and vendor teams with uncompromising directness and clarity
  • Negotiate scope, timelines, SLAs, and deliverables with external technology partners and system integrators, holding them to outcomes, not activity
  • Build and maintain executive-level relationships across the organization to secure sustained sponsorship, funding, and resource commitment for a multi-year horizon
  • Leverage deep, hands-on experience with supply chain systems (ERP, WMS, TMS, planning/optimization platforms) to pressure-test technical designs against operational reality
  • Bring firsthand knowledge of supply chain operations (procurement, logistics, inventory, demand planning, or fulfillment) to anticipate failure modes, edge cases, and change management challenges that technologists miss
  • Establish and enforce the operating model, decision rights, and escalation paths that allow the program to move fast while maintaining quality and alignment
Minimum Qualifications:
  • 12+ years of experience in technical program management, systems implementation, or supply chain technology — with at least 5 years leading large-scale, cross-functional programs
  • Demonstrated experience delivering enterprise-grade systems implementations (AI/ML, ERP, or large platform programs) from inception through production scale
  • Deep, practitioner-level knowledge of supply chain operations and systems — you've been in the trenches, not just adjacent to them
  • Proven track record of managing complex external partner/vendor relationships with high-stakes deliverables and contractual accountability
  • Ability to operate independently: setting direction, influencing without authority, and driving outcomes across VP+ stakeholders
Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Track record of defining processes and frameworks in environments with limited existing structure
  • Familiarity with supply chain platforms (Oracle, o9, or equivalent)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Background that blends technical depth (data platforms, systems integration, API architectures) with business acumen (ROI modeling, change management, organizational design)
  • Experience with AI/ML solution deployment in operational environments (demand forecasting, optimization, anomaly detection, or similar)
About Meta:

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