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.
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.
Job Description
This role will be based in Mountain View, CA.
Productivity Engineering is a team at LinkedIn that builds products that power LinkedIn’s business. We drive technology vision, architecture, and design systems that deliver impact across the enterprise.
We are seeking a Staff Technical Program Manager (TPM) to lead complex technical programs for LinkedIn’s Go-To-Market organization. This role requires strong technical depth, systems thinking, and the ability to operate at both strategic and execution levels.
You will partner with Engineering, Business stakeholders, Product, Legal, Security and external vendors to deliver scalable solutions that create a best-in-class experience for Sellers, Customer Success, Global Support and LinkedIn’s members and customers in over 200 countries.
As a Staff Technical Program Manager, you will drive programs across 3rd Party Tools and Go-To-Market platforms that drive innovation, scalability, and operational excellence across the organization. You will be expected to leverage AI-enabled tools, and support the delivery of scalable AI-powered capabilities.
The ideal candidate will have a solid track record of successfully delivering large-scale technical programs and demonstrating technical leadership. This includes strong organizational and communication skills, with the ability to align cross functional teams and vendors to deliver measurable outcomes. Strong business acumen , product intuition, and technical depth are required to enable you to engage meaningfully with product and engineering teams.. Analytical rigor, structured problem-solving, and comfort operating in ambiguity are essential. Experience contributing to or leading the development and productionization of AI-enabled products or capabilities is highly valued.
Responsibilities:
- Own technical programs from inception to delivery.
- Support multiple cross-functional teams (including external vendors) to deliver their objectives in fast-paced and complex programs and projects
- Develop strong partnerships with Business, Engineering and Product leaders to drive focus on strategic and tactical program objectives
- Build expertise around subject matter to be able to articulate technical details and requirements to various teams involved.
- Define metrics and indicators for Program health.
- Navigate through ambiguity and solve complex problems.
- Drive data informed decisions to steer the program and strategy.
- Lead Planning, execution and on-time delivery of cross-functional initiatives.
- Partner with all levels of management on portfolio execution and team efficiency.
- Drive quarterly roadmap and resource planning activities and deliverables.
- Lead efforts to identify risks, resolve key project conflicts, and establish appropriate resolution paths
- 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.
- Change champion and catalyst for driving innovation and leveraging AI to automate day to day TPM processes.
Qualifications
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 AI systems and Generative AI
Preferred Qualifications:
- Experience with AI platforms such as Azure AI, AWS Agentic AI, or proprietary ML stacks
- Understanding of AI technologies including LLMs, agentic workflows, model evaluation frameworks, and cloud-based AI infrastructure
- Experience managing company wide, large scale, high impact programs
- 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
- Ability to quickly adapt to faster pace, shifting priorities, demands, and timelines through analytical and problem-solving capabilities
Suggested Skills:
- Vendor Management
- GenAI
- Agentic Flows
- Agentic Surfaces
- Cross Functional Collaboration
- Technical Program Management
Additional Information
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 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.
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.
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 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.
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.
