Additionalinformation

Additional Information

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $144,000 to $237,000. 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.

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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.

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Companydescription

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.

Jobdescription

Job Description

This role will be based in Mountain View, California.

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.

LinkedIn was built to help professionals achieve more in their careers. Every day, millions of members use our products to connect, discover opportunities, and gain insights. With a truly global reach, we have a unique opportunity to impact the world’s workforce at an unmatched scale. We are far more than a digital résumé—LinkedIn transforms lives through innovative products and technology.

We are seeking a Manager, Technical Program Management to join our Data Infrastructure TPM organization. In this role, you will lead and develop a team of Technical Program Managers while partnering closely with senior technical leaders to define, prioritize, and drive complex infrastructure portfolios. You will establish and evolve program management governance, execution frameworks, and operating rhythms that enable successful delivery across large, cross-functional infrastructure teams.

The Data Infrastructure TPM team drives large-scale modernization and migration initiatives across LinkedIn’s advanced infrastructure, including in-house data storage and analytics systems, entity management platforms, query and serving layers, and privacy and data governance platforms. The broader Data Infrastructure organization is responsible for building LinkedIn’s next-generation platforms—spanning application and service delivery, compute, massively scalable storage and replication systems, and privacy and compliance.

In this role, you will work alongside some of the best engineers in the industry, applying deep systems thinking and technical judgment across distributed systems, APIs, and large-scale platform architectures. LinkedIn has pioneered and continues to maintain industry-leading open-source technologies such as Apache Kafka, Pinot, Samza, Azkaban, Venice, DataHub, and others, while also leveraging industry standards like Kubernetes, gRPC, and GraphQL. You will help shape programs that operate at extreme scale while contributing to technology that impacts millions of people globally.

At this level, the ideal candidate can clearly articulate complex tradeoffs, dependencies, and interactions that influence program outcomes and coach the team to do the same. You bring a strong balance of people leadership, organizational rigor, and technical depth, and you are effective in driving alignment and execution in highly matrixed environments where authority is not assumed. Success in this role requires demonstrated experience leading teams and large programs, influencing across organizational boundaries, and consistently delivering high-impact results.

Responsibilities:

• Lead and develop the Data Infra TPM team and manage the right mix of projects and programs in the portfolio.
• Manage TPM assignment and allocation and ensure portfolio and project health through appropriate resource allocation, prioritization and focus.
• Develop product strategies, roadmaps and resource plans with leadership.
• Partner with Sr. Director/VP level leadership on project execution and team efficiency.
• Interact one-to-one with individual technical contributors, senior leaders, as well as coaching teams.
• Evaluate, champion and drive adoption of AI technologies in how TPMs plan and drive outcomes in projects.
• Help teams be more efficient, and see the big picture and ensure processes scale appropriately with the company.
• Create a collaborative work environment that fosters autonomy, transparency, mastery, innovation, and learning.
• Manage and maintain project backlogs and ensure forward momentum with project execution.
• Lead efforts to resolve project conflicts and establish appropriate resolution paths.
• Manage dependencies between multiple projects.
• Mentor individuals in best practices for planning and execution.
• Develop strong partnerships with technology and business leaders.
• Assess and mitigate risk exposure.
• Manage resource planning.

Qualifications

Basic Qualifications

• B.S./B.A. in a technical field, or equivalent practical experience.
• 3+ years of people management experience managing technical and/or technical program management teams.
• 4+ years of full time program management experience within an Engineering department.
• Experience managing infrastructure based programs or projects.

Preferred Qualifications

• Mastered Agile methods and practices through multiple teams (Scrum and Kanban).
• Practical and advanced theoretical understanding of managing the lifecycle of large-scale programs and projects.
• Excellent communication skills; skilled at cross-functional and cross-organizational communication and attention to detail.
• Experience with software engineering practices and familiarity with coding techniques.
• Ability to traverse both vertically and horizontally in a large organization.
• Successfully traverse tactical and strategic objectives.
• Experience in planning and collaboration tools.

Suggested Skills

• People Management
• Program Product Management
• Infrastructure Development
• Cross-functional collaboration
• Strategic Roadmaps