Staff Technical Program Manager at LinkedIn

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Jul, 26

Salary

229000.0

Posted On

17 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Program management, Cross-functional team leadership, Strategic roadmaps, Infrastructure, Artificial intelligence, Machine learning, Product development, Capacity management, Stakeholder management, Technical project management, System architecture, Data science, Risk mitigation, Roadmap planning, Executive reporting

Industry

Software Development

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. This role will be based in Mountain View, CA. LinkedIn's Talent Marketplace Engineering org builds the systems and platforms that connect hundreds of millions of members with jobs, skills, and career opportunities. Our work spans online jobs, job recommendations, AI-powered matching, applicant experience, and the platforms that power LinkedIn's core economic value — helping people find the right opportunity at the right time. We're looking for a Staff Technical Program Manager to drive the strategy, planning, and execution of large-scale, cross-functional programs across Talent Marketplace Engineering and other infra org partners. In this role, you'll lead AI and LLM based projects, and partner closely with engineering, product, data science, and design to deliver high-impact initiatives that shape how LinkedIn members and enterprise customers experience career mobility. At the Staff level, you are expected to independently own ambiguous, complex programs, influence technical and product direction, and raise the bar for program management practices across the org. Responsibilities Lead and drive end-to-end program delivery for multiple concurrent, high-complexity AI-driven engineering initiatives across Talent Marketplace Engineering and LinkedIn, from scoping and roadmap planning through launch and post-launch measurement. Partner with engineering leads and architects to identify technical dependencies, risks, and critical path; drive resolution across teams. Define and own program operating rhythms and process: planning cadences, milestone tracking, cross-team sync structures, and executive reporting. Drive alignment across orgs and business stakeholders on scope, timelines, and trade-offs. Anticipate and proactively mitigate risks; escalate blockers with clear recommendations. Contribute to org-level planning processes (half-yearly roadmap, OKR setting) by synthesizing engineering capacity and business priorities. Qualifications Basic Qualifications Bachelor’s degree in Engineering, Computer Science, Software Management or related technical field, or equivalent practical experience. 5+ years of technical program management or equivalent experience in a software engineering organization. Experience in leading AI-driven products in the industry. Preferred Qualifications Master’s degree in Engineering, Computer Science, Software Management or related technical field. Experience in consumer-facing or marketplace products, ideally in search, recommendations, or marketplace matching systems. Familiarity with AI/ML product development lifecycles (model training pipelines, offline/online experimentation, responsible AI practices). Experience leading programs that span multiple teams and quarters with organizational dependencies. Background with capacity management and planning (GPU, TPU, etc). Proven track record of delivering large, cross-functional programs involving multiple engineering teams in a fast-paced environment. Solid understanding of system foundations and AI modeling lifecycle. Excellent written and verbal communication. Demonstrated ability to operate independently in ambiguous environments and drive clarity. Suggested Skills: Program Management Cross-functional team leadership Strategic Roadmaps Infrastructure ML/AI LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $139,000 to $229,000. 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 Additional Information 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 at [email protected] 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. 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 for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal. Workplace Type: Hybrid Career Track & Grade: IC4/9 Department: Engineering

Responsibilities

Lead and drive end-to-end program delivery for complex AI-driven engineering initiatives across the Talent Marketplace organization. Partner with engineering, product, and data science teams to define roadmaps, manage dependencies, and ensure successful project execution.