Our Physical Infrastructure Engineering team powers LinkedIn by driving the full lifecycle of our data centers - from inception to delivery - while overseeing the critical systems and operations that form the backbone of LinkedIn's services, development ecosystems, and the website you know today. As LinkedIn expands its global network and data center footprint over the coming decade, this team ensures our infrastructure continues to lead the industry in scalability, reliability, efficiency, and future readiness. We are the foundation that enables LinkedIn's growth and innovation. Here's what we focus on

The scope for this team includes:

• Major Infrastructure Buildouts: Designing, expanding, retrofitting, and decommissioning data center capabilities at scale.
• Data Center Operations & Engineering: Driving forecasting, budget alignment, and resource optimization to maximize impact across infrastructure, financial, and product priorities.
• Operational Efficiency: Continuously improving processes and systems to deliver reliable, cost-effective, and sustainable infrastructure.
• AI Readiness: Leading GPU deployments and infrastructure modernization to power advanced AI and machine learning workloads.
• Modernization for Capacity and Network Optimization: Analyze network capacity requirements and coordinate with circuit providers to provision and scale network resources as needed.
• Supply and Procurement: Powering LinkedIn's growth by managing a global portfolio of infrastructure procurement and supply chain networks that keep projects running seamlessly and reliably. From location strategy to portfolio management, this function determines why and how much infrastructure LinkedIn needs - ensuring the right resources are in place to scale for billions of users worldwide.

Location: The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in Mountain View, CA.

Responsibilities:

• Drive Communication and Insights with diverse technical and non-technical audiences that spans from VP to individual contributor, translating complex technical concepts into clear business terms and actionable insights and business impact. Leverage data analysis to define metrics and tell a data-driven story that guides key infrastructure scaling decisions.
• Lead Large-Scale Programs in data center and networking to ensure alignment with business goals and strategic objectives, delivering on schedule and within scope. Manage project interdependencies and technical aspects of project success while enabling broad stakeholder alignment.
• Ensure Clarity and Alignment on program objectives (e.g. data center build-outs), ensuring roles and responsibilities are well-defined. Proactively address conflicts or ambiguities with minimal supervision, keeping teams aligned and on track.
• Manage Stakeholder Engagement by working closely with executive sponsors and change agents to define project scope and requirements, and guide programs through their entire lifecycle. Set appropriate stakeholder expectations, with timely communication and escalations, to maintain executive alignment on critical initiatives.
• Apply formal change management practices to baseline programs at kickoff and evaluate all scope changes for justification and impact, obtaining necessary approvals. Anticipate program risks and issues; develop mitigation plans and solutions that ensure stakeholders remain informed and expectations are met.
• Simplify complex situations to facilitate clear, swift decision-making that keeps projects moving forward. Rapidly acquire domain knowledge and maintain technical understanding to actively participate in discussions with engineers and technical leaders, allowing you to guide decisions even in new or ambiguous areas.
• Optimize & Establish end-to-end program processes with stakeholders for gathering and fulfilling requirements. Continuously streamline workflows, tools, and processes to drive efficiency, reliability, and effectiveness in project delivery.
• Ensure project deliverables align with LinkedIn's strategic vision, and translate project progress into the context of broader strategic goals. Use business acumen to identify optimization opportunities and drive effective decision-making in line with company strategy.
• Own the successful execution of critical, cross-functional programs from inception through completion. This includes managing executive expectations (communications, escalations, and updates) on high-impact projects, and designing processes that ensure high-quality outcomes. You will be responsible for consistently delivering complex projects on schedule and meeting their defined objectives.

Qualifications Basic Qualifications:

• B.S./B.A. in Engineering, Computer Science, or a related technical field.
• 5+ years of experience in technical program management pertaining to data centers or closely associated fields (such as roadmap development, data center engineering, etc).

Preferred Qualifications:

• Hands-on experience of running programs that oversee designing and deploying cutting-edge AI acceleration infrastructure including GPU clusters, high-bandwidth interconnects, and specialized cooling solutions for next-generation machine learning workloads.
• Experience driving programs with Complex infrastructure upgrades including power system modernization (480V to 415V conversions) and cooling retrofits while maintaining 99.99%+ uptime SLAs (such as Brownfield Retrofits/Live Environment Operations).
• Coordinating procurement, construction, and commissioning to deliver 10MW+ of new capacity within 12-month cycles while managing supply chain constraints.
• End-to-end construction program management for ground-up data center builds including contractor selection, construction document management (submittals, RFIs, change orders), MEP constructability reviews, and multi-trade coordination while managing construction budgets and critical path schedules (Greenfield Construction/Build Management).
• Experience with advanced power distribution architectures (2N, 2N+1 redundancy), PUE optimization achieving sub-1.15 efficiency ratios, and next-generation cooling for AI/GPU workloads exceeding 40kW per rack.
• Experience with hyperscale network design including spine-leaf architectures, 400G/800G optics deployment, complete life cycle of Circuit planning and provisioning, and structured cabling supporting multi-tenant environments with strict isolation requirements.
• Experience with Enterprise security frameworks (SOC 2 Type II, ISO 27001, FISMA) and multi-layered security systems including biometric access controls and threat detection.
• Experience with end-of-life planning including secure data destruction, environmental remediation, and sustainable hardware disposition strategies.
• Complete greenfield development including geotechnical assessments, environmental studies, and utility negotiations for facilities ranging from 10MW to 200MW+ capacity with 24-36 month delivery cycles.
• Experience managing multi-billion dollar data center portfolios with 10+ concurrent projects across multiple regions, coordinating interdependent timelines and enterprise-scale infrastructure deployments.
• Presenting to Senior and C-suite executives on infrastructure investment strategies, managing program budgets exceeding $500M annually, and delivering quantifiable ROI on large-scale capital expenditures.
• Influencing teams of 100+ stakeholders across engineering, construction, procurement, legal, and finance without direct authority while resolving complex multi-party conflicts.
• Implementing enterprise-grade program management methodologies with sophisticated risk modeling for programs with potential business impact exceeding $1B in revenue dependencies.
• Experience driving industry-first initiatives and pioneering next-generation data center technologies, with a track record of delivering breakthrough solutions that set new industry standards and competitive advantages.
• Managing global supply chains with 18+ month lead times, strategic relationships with Tier 1 construction partners (Turner, DPR, AECOM) and major OEMs (Schneider Electric, Eaton, Vertiv).
• Experience with infrastructure financial modeling including TCO analysis and ROI projections, building business cases for capital expenditures ranging from $100M to $2B+.
• Developing 5-10 year infrastructure roadmaps aligned with business growth, emerging technology trends (edge computing, AI/ML acceleration), and sustainability commitments.
• Navigating data center regulatory landscape including energy efficiency mandates, carbon reporting, and complex permitting processes while driving measurable environmental impact reductions.
• Experience with Network Engineering
• Experience with Infrastructure Automation & Tooling

Suggested Skills:

• Program Management and Cross-Functional Collaboration
• Data Center Infrastructure & Operations
• AI/ML Infrastructure & GPU Deployment
• Strategic Roadmapping, Executive Stakeholder Management
• Procurement, Operations & Supply Chain

You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.

Compensation: LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $114,000 to $187,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.

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