Logistics Operations Lead

Summary:

Infrastructure Business Operations Support (IBOS) is seeking an experienced Logistics Operations Lead to own New Product Introduction (NPI) and lab support across NORAM field logistics. This individual contributor role is the on-site owner of the "last mile" of introducing new hardware platforms — new server and GPU SKUs, rack designs, network switches, optics, and power equipment — into Meta's field logistics and distribution network across Meta-operated and third-party logistics (3PL) facilities.The Logistics Operations Lead is the primary liaison between Hardware Engineering, field operations teams, and supply chain partners during product ramps — proving out receiving, staging, storage, kitting, and distribution flows for products that have never moved through the network before, then hardening and standardizing those flows for scale. This role anticipates the logistics implications of new products ahead of ramp, resolves material flow issues before they scale, and ensures every introduction leaves behind repeatable, compliant, site-ready processes. In addition, this role serves as the IBOS NORAM field focal point for Meta Lab support — including infrastructure labs and network engineering labs — coordinating field logistics across the region's lab environments.

Required Skills:

Logistics Operations Lead Responsibilities:

1. New Product Introduction (NPI) execution

2. Own field logistics readiness and execution for NPI — ensuring new hardware platforms (GPU trays, racks, servers, network switches, optics, power equipment) can be received, inspected, stored, kitted, and distributed reliably from day one of ramp

3. Serve as the on-site logistics point of contact during first-article receipt, qualification builds, and pilot ramps

4. Detect and resolve material flow, packaging, labeling, and handling issues before they scale

5. Establish material handling, staging, and storage requirements for new products, including special handling (weight, ESD, thermal, HAZMAT, high-value/GPU security) considerations

6. Process Standardization and Operations Excellence

7. Define and document NPI receiving, inspection, storage, and distribution standard operating procedures (SOPs) and playbooks

8. Drive standardization across sites once a product transitions from introduction to steady-state

9. Design and run operational readiness reviews (ORRs) as gate checks before new-product field execution begins

10. Drive after-action reviews (AARs) after each ramp, capturing lessons learned and feeding systematic process improvement

11. Cross-Functional Leadership & Integration

12. Partner with Hardware Engineering, DCE/SiteOps, ENS, DCC, and supplier/CM teams to translate new product requirements into executable field logistics plans

13. Act as a liaison between XFN partners and the companies that make, ship, and deliver new products, building partnerships that drive automation and efficiency

14. Drive alignment across NORAM field teams on new-product standards, tool adoption, and process improvements — without direct authority

15. Partner with global operations teams to ensure NORAM NPI initiatives align with worldwide programs

16. Operational Intelligence and Continuous Improvement

17. Monitor demand signals — upcoming builds, new SKUs, capacity surges — and translate them into field logistics requirements ahead of ramp

18. Track leading indicators of ramp health — predictive signals of emerging friction, not just lagging metrics

19. Capture learnings and feed them back to hardware and supply chain partners to improve the next introduction

20. Innovate, automate, standardize, and scale field operations to withstand fast, high-volume product ramps

21. Compliance & Controls

22. Ensure NPI processes meet Meta's stringent inventory management, SOX, physical security, data security, and financial compliance requirements

23. Ensure all new-product processes are documented, followed, and improved as necessary

24. drive standardization across Meta's platforms

25. Meta Lab Field Support (NORAM Focal Point)

26. Serve as the single IBOS NORAM field focal point for Meta Lab support, including infrastructure labs — the primary point of contact between lab teams and IBOS field logistics across the region

27. Coordinate the receiving, storage, kitting, staging, and distribution of lab hardware and materials to and from NORAM lab environments

28. Support lab build-outs, moves, and equipment refreshes, ensuring material availability and timely delivery to meet the lab's schedules

29. Partner with lab stakeholders — including IDC NSI labs and network engineering labs — to translate lab requirements into logistics processes, and manage returns, RMAs, and asset tracking for lab equipment

30. Ensure lab materials flows meet inventory management, asset accountability, physical security, and financial compliance requirements

31. Track and report on lab logistics support performance, surfacing risks and blockers proactively

32. Travel

33. Up to 30%+ travel is required across NORAM data centers and 3PL sites to maintain field connectivity and support product ramps in person

Minimum Qualifications:

Minimum Qualifications:

1. Bachelor's degree in Logistics, Supply Chain, Operations Management, Industrial Engineering, or a similar field, or equivalent practical experience

2. 8+ years of experience in logistics, supply chain operations, or technical site services within a data center, large-scale infrastructure, or a comparable industrial environment

3. 8+ years of experience in managing inventory control processes, including cycle counting, reconciliation, and asset tracking across distributed locations

4. Experience leading cross-functional projects involving third-party logistics providers, infrastructure teams, and internal stakeholders

5. Experience developing and managing operational metrics and KPIs to drive performance accountability and continuous improvement

6. Experience with supply chain processes spanning procure-to-pay, including business process mapping, gap analysis, and requirements documentation

Preferred Qualifications:

Preferred Qualifications:

1. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

2. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

3. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

4. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

5. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

6. Experience operating in a large-scale, multi-site data center or hyperscale infrastructure logistics environment with responsibility for fleet-wide process standardization

7. Demonstrated ability to integrate AI tools to redesign logistics workflows and deliver measurable outcomes such as reduced cycle time, improved inventory accuracy, or cost savings

8. Familiarity with SOX compliance requirements as they apply to inventory management and asset audit processes in a technology infrastructure context

9. Experience with data analysis platforms and logistics management systems used to monitor inventory, track shipments, and generate operational reporting

10. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Public Compensation:

$138,000/year to $196,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].