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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.

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 platforms. You will own and drive key areas of LinkedIn’s AI/ML infrastructure and 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, SRE, 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.

Basic Qualifications:

•8+ years of technical program management experience

•3+ years of technical program management experience in either infrastructure, Data, or ML/AI platform areas.

•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 Data, AI/ML, Infrastructure, and Hardware.

•Thorough knowledge of Infrastructure domains in both Cloud and On-Prem Data Center settings.

•Good understanding of fleet modernization and modern cloud technologies (e.g., microservices, Kubernetes).

•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, with the ability to execute and deliver successfully in high-ambiguity situations.

•Strong interpersonal communication skills, with the ability to work well in a diverse, team-focused environment with other Engineers, PMs, Executives, etc. Skilled at cross-functional and cross-organizational communication 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.

Suggested Skills:

•Program Management

•Cross-functional team leadership

•Strategic Roadmaps

•Infrastructure

•ML/AI

You will Benefit from our Culture:

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $160,000 to $262,000. 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

LinkedIn is committed to diversity in its workforce and is 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 an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.

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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 at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.

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.

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