Director, Technical Program Management (Infra)

Company DescriptionLinkedIn 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 DescriptionAt 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.This role will be based in Mountain View, CA.LinkedIn is looking for a Director, Technical Program Management to partner with the Engineering Systems (Dev Infra, Reliability) and InfoSec TPM teams. The right candidate will have demonstrated solid leadership in leading and managing teams and programs to deliver successful outcomes. This candidate is expected to manage a group of Technical Program Managers, partner with key Technical Leaders to define, prioritize and drive project portfolios and establish the right project management governance practices and frameworks with the Engineering teams.The ideal candidate will have an excellent balance of people, organizational, and technical skills, and can execute and deliver successfully in situations where authority is not a given. Interaction and leadership across functional lines is essential.The right candidate will have demonstrated solid leadership in leading teams and programs to deliver successful outcomes.Roles and ResponsibilitiesOwn delivery OKRs for all Engineering Systems and InfoSec teams, ensuring programs are executed on schedule, meet quality and reliability standards, and achieve committed outcomeDefine, track, and report program-level OKRs and KPIs (e.g., delivery predictability, milestone health, risk burn-down, dependency management) to ensure transparency and accountability across Engineering Systems (Dev Infra, Reliability) and InfoSec teamsBuild, hire, mentor, and lead a high-performing TPM organization, with clear people OKRs focused on capability growth, leadership development, and retentionDrive execution excellence by establishing operating mechanisms (planning cadences, reviews, escalation paths, and postmortems) that improve delivery velocity and execution efficiencyAlign engineering, product, research, and business leaders around shared OKRs to ensure Infra and InfroSec initiatives translate into measurable business and platform impactQualificationsBasic QualificationsBachelor's degree in Computer Science or a related field, or equivalent experience10+ years in Engineering leadership Preferred QualificationsExperience leading InfoSec and/or Engineering Systems / Infrastructure InitiativesExceptional communication and persuasion skills, capable of convincing and aligning executive-level stakeholders.Ability to identify technical disconnects and propose top options for resolution while taking ownership of driving alignment.Strong leadership and mentoring capabilities, with a passion for fostering a culture of innovation and collaboration.Relevant certifications in program management and technology are advantageous.Demonstrated ability to operate effectively in ambiguous, fast-evolving environmentsStrong capability to influence and collaborate across diverse stakeholders and cross-functional teamsProven experience navigating and driving outcomes within complex, matrixed organizational structuresSharp focus on proactive risk identification, rapid decision-making, and a fail-fast, learn-fast mindsetGen AI – from modeling – pre-mid and post training. Agentic applications. Responsible AIInvolved in a life cycle of AI products – from early stage and to success.Suggested SkillsTechnical Program ManagementLeadershipCollaborationInfrastructureInfoSecYou 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 $199,000 to $328,000. 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 . Additional InformationEqual 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: 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 youHaving interviews in an accessible locationBeing accompanied by a service dogHaving a sign language interpreter present for the interviewA 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: 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: Full-timeFunction: EngineeringExperience level: DirectorIndustry: Internet