Sr. Staff Technical Program Manager, 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.

The LinkedIn Infrastructure Engineering Technical Program Management Group is looking for a Senior Staff Technical Program Manager (TPM) to join our team which is part of LinkedIn’s Infrastructure engineering organization. Infrastructure engineering consists of over 2,000 engineers who are responsible for infrastructure that runs linkedin.com. The org builds and operates massive-scale systems ranging from physical DCs, networking, storage, compute, observability to Data and AI/ML platforms. We also contribute to the technical community by open sourcing our latest technologies.

The Senior Staff Technical Program Manager (TPM) will have the opportunity to drive cutting-edge improvements to our advanced machine learning infrastructure and data infrastructure platforms. You will own and drive key areas of LinkedIn’s AI/ML infrastructure and data infrastructure platforms that power all AI applications across LinkedIn’s products serving hundreds of millions of users. You will collaborate with product and engineering teams across LinkedIn to lead and deliver high impact and cutting-edge solutions. This Senior Staff TPM will initiate, plan and execute large scale, cross-functional and company-wide programs.

Responsibilities:

• Define a strategy for large-scale, multi-phased technical programs in Data and AI platform infrastructure space that span across various platforms, infrastructure and product domains, covering both software and hardware aspects.
• Lead the technical programs through the full lifecycle process from initiating and planning, to execution, monitoring, and landing impact.
• Define, scope, and track ancillary operations projects including capacity planning, hardware procurement, and deployment.
• Help teams be more efficient, see the big picture, and ensure processes scale appropriately with the company.
• Partner with VP level leadership on program execution and organization efficiency.
• Work closely with ML infrastructure engineering to coordinate and deploy features to production. Set the teams up with best-in-class program management practices (Risk management, Stakeholder management, Communication strategy, Conflict resolution, etc.)
• Create a collaborative work environment that fosters autonomy, transparency, mastery, innovation, and learning.
• Manage and maintain program roadmap and ensure forward momentum with strategic execution.
• Manage dependencies and schedule alignment between multiple projects within the program.
• Mentor individuals in best practices for planning and execution.
• Develop strong partnerships with technology and business leaders.
• Manage & lead resource planning.

Department: Engineering
Function: Project Management
Experience Level: Mid-Senior Level