Six Figure Work

Sr. Staff Technical Program Manager, Core Infrastructure

LinkedIn

Company websitelinkedin.com (LinkedIn, opens in new tab)

Base salary $166K  to $271K

Employer-published annual base salary, USD. Advertised base range in Sunnyvale, CA

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  • LocationSunnyvale, CA
  • WorkplaceHybrid
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

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.

Source: LinkedIn on SmartRecruiters · View original posting (opens in new tab)

Pay in context

This role's base floor ($166,000) is above 63% of the 743 Program & Project Management roles in California listed on this site; 9 others list the same floor. Their median floor is $150,000; the middle half runs from $125,100 to $176,200.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live LinkedIn roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live LinkedIn roles with the nearest advertised base floor
RolePublished base
Sr. Staff Technical Program Manager, Core Infrastructure (this listing)$166K - $271K
Sr. Digital Marketing Manager II, Web Platform Optimization, SEO & AI Search$170K - $278K
Staff Software Engineer, Capacity Engineering$170K - $277K
Sr. Staff Technical Program Manager, Infrastructure$171K - $280K
Sr Staff - Commodity / Vendor management - NPI$160K - $265K
Staff Applied Scientist$175K - $287K
Staff AI Engineer (NY)$175K - $287K

Same $100K to $400K scale as every card. All LinkedIn roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. fields changed
  3. Began meeting the published-salary criteria
  4. Stopped meeting the published-salary criteria
  5. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-07-06
Where this pay comes from

Location as the employer wrote it: Sunnyvale, CA, United States

The pay range for this role is $166,000 to $271,000. Actual compensation packages are based on several factors

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.