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Infographic showing various Senior Technical Program Manager job openings at Linkedin in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 55% Physical, 31% Hybrid, and 14% Remote job distribution.
Sr. Staff Technical Program Manager, Core Infrastructure

Sr. Staff Technical Program Manager, Core Infrastructure

LinkedIn

Sunnyvale, CA • On-site

Full-time

Posted 3 days ago


LinkedIn rating

9.3

Company rating: 9.3 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

15th of 245 rated software companies


Job description

Company Description
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.
Join us to transform the way the world works.
Job Description
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: physical data centers, networking, storage, compute, observability, and Data and AI/ML platforms.
Engineering Team this TPM will support:
Core Infrastructure refers to the foundational layer of LinkedIn's infrastructure. It encompasses the essential systems and services that support the company's large-scale engineering operations and technology platforms. The Core Infrastructure team is responsible for building, maintaining, and modernizing these systems to ensure reliability, scalability, and efficiency across LinkedIn's services.
The Senior Staff TPM will drive cutting-edge improvements to our advanced Compute, CI/CD platform. You will own and drive these key areas of LinkedIn's Core Infra infrastructure and platforms that power all of the major applications across LinkedIn's products serving hundreds of millions of users. Collaborate with Product and Infrastructure Engineering teams across LinkedIn to deliver high-impact, cutting-edge solutions. Initiate, plan and execute large scale, cross-functional and company-wide programs.
Responsibilities:
  • Define and drive strategy for large scale cross function, complex and high impact Compute platform, control plane and CI/CD platforms at Linkedin.
  • Partner closely with cross functional Infra engineering and product teams to define scope, milestones, dependencies, and success metrics.
  • Drive alignment across multiple organizations on technical architecture decisions, trade-offs, and delivery plans.
  • Own program planning and execution artifacts, including roadmaps, dependency maps, risk registers, and status reporting.
  • Identify, manage, and mitigate technical, operational, and delivery risks, escalating proactively when needed.
  • Lead high-risk launches, migrations, and cross-region deployments, ensuring availability, durability, and performance SLAs are met.
  • Establish and drive operational excellence, including incident response coordination, postmortems, and reliability improvements.
  • Track and report on program health using data and metrics, enabling informed decision-making at senior leadership levels.
  • Influence without authority to resolve conflicts, unblock teams, and maintain delivery momentum in ambiguous environments.
  • Communicate clearly and concisely with executive and senior technical stakeholders, translating complex technical details into actionable insights.

Qualifications
Basic Qualifications:
  • 8+ years of technical program management experience.
  • 4+ years of technical program management experience in large distributed systems.
  • B.S./B.A. in a technical field, or equivalent practical experience.

Preferred Qualifications:
  • Demonstrated experience leading teams and technical programs to deliver successful outcomes at the intersection of areas such as Storage/streaming platforms, Infrastructure, and Hardware.
  • Experience working in cloud or hyperscale environments, including capacity planning, scaling strategies, and cost optimization.
  • Good understanding of storage or streaming systems (e.g., distributed file/object stores, replication pipelines, messaging or event-streaming platforms).
  • Deep understanding of distributed systems fundamentals, including consistency models, durability, fault tolerance, and performance trade-offs.
  • Proven track record of leading teams and programs to deliver successful outcomes. This includes using best practices for scheduling, monitoring, tracking, and executing technical programs, as well as initiating, planning, and executing large scale, cross-functional, and company-wide critical programs.
  • Excellent balance of people, organizational, and technical skills, enabling successful execution in high-ambiguity situations.
  • Strong interpersonal and cross-functional communication skills, fostering collaboration with Engineers, PMs, and Executives, and able to challenge leadership when necessary.
  • Organized, with attention to detail and a focus on elevating the TPM Craft to the highest standards.
  • Ability to traverse both vertically and horizontally in a large organization, balancing tactical and strategic objectives.
  • Previous experience working with geographically-distributed teams.
  • Experience operating in ambiguous, fast-moving environments and making data-driven trade-off decisions

Suggested Skills:
  • Cross Functional Collaboration
  • Technical Program Management
  • Infra Engineering
  • Kubernetes understanding

Additional Information
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $166,000 to $271,000. 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.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation.
Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
  • 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

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Global Data Privacy Notice and Compliance Posters for Job Candidates
Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

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