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Staff Technical Program Manager: Core AI

LinkedIn3

Mountain View, CA, United States Hybrid permanent

Posted: March 24, 2026

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Quick Summary

Transform the world through AI innovation with a team of experts. As a Staff Technical Program Manager, you will oversee the development and implementation of AI solutions, working closely with cross-functional teams to drive business growth and customer success.

Job 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.

This role will be based in either San Francisco or Sunnyvale, 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.

Core AI is at the heart of LinkedIn’s AI innovation, incubating and delivering the company’s most ambitious moonshot initiatives. This Sr.Staff Technical Program Management (TPM) will be accountable for driving successful outcomes across these high-impact, cross-functional AI initiatives that impact the LinkedIn's products.

We are seeking someone who is an expert of the TPM craft—someone who brings deep technical program leadership, operational rigor, strategic judgment, execution, collaboration, and impact as Core AI turns bold ideas into reality. We are looking for individuals who have demonstrated technical leadership in development of  AI native products from incubation to productization. 

Responsibilities:

• Support multiple cross-functional technical teams to deliver their objectives in fast-paced and complex programs and projects

• Develop strong partnerships with engineering and product management leaders to drive focus on strategic and tactical program objectives

• Create and drive programs to improve hardware usage across compute, storage, and network

• Drive new organization-wide programs to ensure reliability, scalability, and maintainability of the data ecosystem 

• Own and manage program and portfolio planning, execution of roadmap, and engineering operations for multiple verticals

• Drive alignments and prioritization across all technology initiatives, manage roadmap for a single consistent view and lead communications

• Build strategic relationships with key technology and business leaders to ensure program success

• Drive teams and individuals in planning and executing roadmaps, releases, and work backlogs

• Lead efforts to identify risks, resolve key project conflicts, and establish appropriate resolution paths

• Fill in gaps across roles and functions as needed, performing as an adaptive problem solver

• Report on project status or portfolio roadmap, risks, issues and mitigation plans

• Create a collaborative work environment that fosters shared understanding, transparency, mastery, autonomy, innovation and continuous learning

• Coach and mentor others in the best practices of modern planning and execution

Basic Qualifications:

• B.S./B.A. Engineering, Computer Science or related technical field, or equivalent practical experience

• 5+ years professional experience in an engineering or technical team, managing technical programs/projects

• Experience with large scale AI systems and Generative AI 

Preferred Qualifications:

• Experience managing company wide, large scale, high impact programs

• Proven success on establishing organization-wide processes and communication framework for R&D initiatives

• Direct work experience in a technical project management capacity to drive large technical initiatives including all aspects of process development and execution.

• Knowledge of complex technical ecosystems and adequate technical depth

• Experience managing multiple major and concurrent projects/programs executed through multiple geographic locations

• Direct experience working with software engineering leadership, technical teams and individual contributors

• Ability to quickly adapt to faster pace, shifting priorities, demands, and timelines through analytical and problem-solving capabilities

• 2+ years of hands-on software development experience

Suggested Skills:

• GenAI

• Agentic Flows

• Agentic Surfaces

• Cross Functional Collaboration

• Program Management

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

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.

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