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)

Compensation

• $189,000/year - $258,000/year; Country: US; Bonus eligible; Equity eligible

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