Sr. Staff Technical Program Manager, Infrastructure

LinkedIn • Mountain View, CA

19h • Hybrid

About The Position

LinkedIn’s Infrastructure Engineering Technical Program Management Group is seeking a Senior Staff Technical Program Manager to lead programs within LinkedIn’s infrastructure engineering organization. The organization builds and operates large-scale systems spanning physical data centers, networking, storage, compute, observability, and data and AI/ML platforms.

The role drives improvements to machine learning and data infrastructure platforms that power AI applications across LinkedIn products. The Senior Staff TPM collaborates with product and engineering teams to lead high-impact solutions and initiates, plans, and executes large-scale, cross-functional, company-wide programs. The position is hybrid, with work performed from home and a LinkedIn office on select days as determined by team business needs.

Requirements

• At least 8 years of technical program management experience.
• At least 3 years of technical program management experience in infrastructure, data, or ML/AI platform areas.
• B.S./B.A. in a technical field or equivalent practical experience.

Nice To Haves

• Experience leading teams and technical programs to successful outcomes at the intersection of data, AI/ML, infrastructure, and hardware.
• Thorough knowledge of infrastructure domains in both cloud and on-premises data center settings.
• Understanding of fleet modernization and modern cloud technologies such as microservices and Kubernetes.
• A proven track record of leading teams and programs to successful outcomes using best practices for scheduling, monitoring, tracking, execution, and large-scale cross-functional program planning.
• A balance of people, organizational, and technical skills, including the ability to deliver in high-ambiguity situations.
• Strong interpersonal communication skills and the ability to work effectively with engineers, PMs, executives, and diverse teams.
• Cross-functional and cross-organizational communication skills, including the ability to challenge leadership when necessary.
• Strong organization, attention to detail, and a focus on high standards for the TPM craft.
• Ability to work vertically and horizontally in a large organization while balancing tactical and strategic objectives.
• Experience working with geographically distributed teams.

Responsibilities

• Define strategies for large-scale, multi-phased technical programs in data and AI platform infrastructure, spanning platforms, infrastructure, product domains, software, and hardware.
• Lead technical programs through their full lifecycle, from initiation and planning through execution, monitoring, and delivery of impact.
• Define, scope, and track related operations projects, including capacity planning, hardware procurement, and deployment.
• Help teams improve efficiency, maintain a broader perspective, and scale processes appropriately as the company grows.
• Partner with VP-level leadership on program execution and organizational efficiency.
• Coordinate with ML infrastructure engineering teams to deploy features to production.
• Establish program management practices, including risk management, stakeholder management, communication strategy, and conflict resolution.
• Create a collaborative environment that fosters autonomy, transparency, mastery, innovation, and learning.
• Manage program roadmaps and maintain forward momentum through strategic execution.
• Manage dependencies and schedule alignment across multiple projects within a program.
• Mentor individuals in planning and execution best practices.
• Build strong partnerships with technology and business leaders.
• Lead and manage resource planning.

Benefits

• Generous health and wellness programs.
• Time away for employees.
• The total compensation package may include an annual performance bonus, stock, benefits, and/or other applicable incentive compensation plans.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior