Staff Technical Program Manager, Physical Infrastructure

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. 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.

LinkedIn is looking for a Staff Technical Program Manager (TPM) to work within LinkedIn’s Physical Infrastructure Program Management team. The right candidate will have demonstrated solid leadership and technical acumen in leading teams and programs to deliver successful outcomes. You will be involved in strategy, inception, and execution of our infrastructure projects, as well as initiating, planning, and executing intermediate-to-large scale cross-functional programs. The ideal candidate has an excellent balance of people, organizational, and technical skills, and can execute successfully in situations where authority is not a given. Interaction and leadership across functional lines is essential.
 

What You’ll Own

Executive Partnership & Governance

• Partner with VP-level and C-suite leadership on program execution and strategic planning
• Establish governance frameworks that drive decision-making and mitigate cross-organizational dependencies
• Present to senior executives on infrastructure strategies, managing sensitive situations and securing stakeholder commitments

Strategic Leadership

• Define and execute multi-year strategy for data center infrastructure programs, including capacity expansion and forecasting, network modernization,DC build and decommissioning.
• Shape infrastructure investment strategies aligned with LinkedIn’s 5+ year growth trajectory.
• Pioneer next-generation data center technologies that establish competitive advantages.

Program Execution

• Lead concurrent projects across multiple regions, including major data center buildouts, brownfield retrofits, AI/ML infrastructure (GPU clusters), capacity forecasting and expansion, and supply chain operations.
• Manage end-to-end data center lifecycle from site selection through operations optimization to decommissioning.
• Ensure predictability across teams by maintaining momentum, removing organizational roadblocks, and shipping solutions on schedule.

Technical Expertise

• Drive cutting-edge infrastructure improvements including AI acceleration, high-density power/cooling systems, and hyperscale network design
• Serve as subject matter expert in physical infrastructure, staying current on emerging data center technologies
• Develop and evangelize best practices, contributing to industry leadership

Cross-Functional Leadership

• Influence teams of 100+ stakeholders across engineering, construction, procurement, operations, legal, and finance without direct authority
• Build consensus and navigate complex multi-party conflicts
• Act as liaison between Engineering, Infrastructure, and Architecture teams to align strategy and execution

Data-Driven Decision Making

• Partner with data and infrastructure teams to inform capacity planning
• Understand and drive sophisticated financial models including TCO analysis, ROI projections, and business cases for capital expenditures
• Understand and drive metrics aligned with organizational goals, ensuring continuous improvement

Process Excellence

• Design and improve processes at group level to optimize cross-team workflows
• Implement advanced change management practices including scope baselining and impact evaluation
• Identify and solve systemic problems that increase program velocity across multiple teams
• Maintain project dashboards and status reporting across concurrent workstreams, ensuring stakeholders visibility.
• Facilitate recurring cross-team syncs spanning time zones. Including preparing agendas, documenting decisions, tracking action items, and following up when commitments slip.
• Build and maintain program documentation including SOPs, runbooks, post-mortems, and architectural decisions that require continuous updates.
• Navigate internal approval processes for change requests and resource allocations, often requiring multiple stakeholder meetings and documentation revisions.
• Produce executive-ready materials that synthesize technical complexity, iterating through feedback cycles and incorporating last-minute data changes.

Basic Qualifications

• B.S./B.A. in Engineering, Computer Science, or related technical field, or equivalent practical experience
• 7+ years of technical program management experience in data center infrastructure or closely related fields

Preferred Qualifications

• AI/ML infrastructure deployment including GPU clusters and specialized cooling solutions
• Complex brownfield retrofits and greenfield construction management
• High-density power distribution, advanced cooling systems, and PUE optimization
• Hyperscale network design and circuit provisioning
• Physical security frameworks and compliance 
• Sustainable decommissioning and asset management
• Managing multi-million dollar portfolios with 15+ concurrent projects across multiple regions
• Executive-level governance with large program budgets
• Cross-functional matrix management of 100+ stakeholders without direct authority
• Advanced risk and change management for programs with large revenue dependencies
• Global supply chain management with strategic vendor relationships
• Infrastructure financial modeling and business cases for $100M+ capital expenditures
• 5+ year strategic roadmapping aligned with business growth and sustainability commitments
   

Suggested Skills

• Data Center Infrastructure & Operations
• AI/ML Infrastructure & GPU Deployment
• Procurement & Supply Chain
• Strategic Roadmapping
• Executive Stakeholder Management

LinkedIn is committed to fair and equitable compensation practices.    

The pay range for this role is $139,000 to $229,000. 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. 

Equal Opportunity Statement 

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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• Documents in alternate formats or read aloud to you
• Having interviews in an accessible location
• Being accompanied by a service dog
• Having a sign language interpreter present for the interview

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