Sr. Staff Technical Program Manager, Infrastructure
About The Position
LinkedIn's Infrastructure Engineering Technical Program Management Group seeks a Senior Staff Technical Program Manager to join its Infrastructure Engineering organization. The organization comprises more than 2,000 engineers who build and operate large-scale systems, including 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 TPM owns key areas of these platforms and works with product and engineering teams across LinkedIn to deliver high-impact solutions. The role initiates, plans, and executes large-scale, cross-functional, company-wide programs, covering software and hardware aspects of infrastructure.
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 at the intersection of Data, AI/ML, Infrastructure, and Hardware.
- Thorough knowledge of infrastructure in cloud and on-premises data center settings.
- Understanding of fleet modernization and modern cloud technologies such as microservices and Kubernetes.
- Track record of delivering successful outcomes through effective scheduling, monitoring, tracking, and execution, including large-scale, cross-functional, company-wide critical programs.
- Strong people, organizational, and technical skills, including ability to deliver in ambiguous situations.
- Strong interpersonal and cross-functional communication skills, including ability to work with engineers, PMs, executives, and challenge leadership when needed.
- Strong organization, attention to detail, and commitment to high standards in the TPM craft.
- Ability to operate across organizational levels while balancing tactical and strategic objectives.
- Experience working with geographically distributed teams.
Responsibilities
- Define strategies for large-scale, multi-phase technical programs in Data and AI platform infrastructure across platforms, infrastructure, and product domains, covering software and hardware.
- Lead technical programs through initiation, planning, execution, monitoring, and impact delivery.
- Define, scope, and track operational projects, including capacity planning, hardware procurement, and deployment.
- Help teams improve efficiency, understand broader objectives, and scale processes appropriately.
- Partner with VP-level leadership on program execution and organizational efficiency.
- Coordinate with ML infrastructure engineering to deploy features to production and establish strong program management practices for risk, stakeholders, communications, and conflict resolution.
- Create a collaborative work environment that fosters autonomy, transparency, mastery, innovation, and learning.
- Manage program roadmaps and maintain forward momentum through strategic execution.
- Manage dependencies and schedule alignment among projects within a program.
- Mentor individuals in planning and execution best practices.
- Develop partnerships with technology and business leaders.
- Lead resource planning.
Benefits
- Health and wellness programs.
- Time away for employees.
- Annual performance bonus, stock, benefits, and/or other applicable incentive compensation plans may be included in the total compensation package.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
