at LinkedIn
Full TimeLinkedIn 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 is based in New York or Sunnyvale.
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.
The Knowledge Management Solutions (KMS) team at LinkedIn is responsible for creating and delivering instructional, procedural and technical content for LinkedIn’s members, customers and employees. The content is created both manually and using GAI, and is distributed externally to LinkedIn’s Help Centers, virtual chat agents, and in-product experiences (including those powered by AI/GAI) where our customers and members self-serve. Employees also use this content internally through enterprise search systems and CRMs.
We are seeking a visionary and hands-on AI Content Product Manager to transform how we create and optimize content for different LinkedIn products. This role will be responsible for defining the vision for how we use AI across the content development lifecycle, including but not limited to incorporating agentic technology into our workflows. This is a managerial role that requires both strategic leadership and hands-on involvement in shaping the future of AI-powered content creation.
This position will report to the Director, Knowledge Management Solutions.
Why Join Us?
Lead a cutting-edge initiative to transform content creation through AI.
Work with a talented, cross-functional team in a dynamic, fast-paced environment.
Opportunity to shape the future of enterprise help content and chatbot training.
Responsibilities
Develop a clear and compelling vision for an AI-powered content development lifecycle, ensuring alignment with content and organizational goals.
Manage and mentor individual contributors fostering a culture of collaboration and scaling the team as the AI initiative grows.
Collaborate with content strategists, managers, and technical teams to develop AI-powered tools that generate summaries and drafts. These tools should provide content strategists with a solid starting point for editing and finalizing, ensuring high-quality, LOB-specific content.
Understand the needs of content teams and collaborate with engineering, data science, and product teams to design, develop, and implement AI-powered tools for content creation, analysis, summarization, and optimization, enhancing self-serve capabilities for content teams.
Collaborate with Content Strategists and the Information Architect to enhance the AI-informed content strategy for external content by bringing the focus on best-in-class end user experiences.
Work with knowledge engineers and product strategists to automate and consolidate internal and external feedback from multiple channels, including chatbot interactions, sentiment analysis, and CRM data, providing actionable summaries to help content strategists enhance content.
Troubleshoot issues, analyze performance, and continuously fine-tune AI outputs to improve internal efficiencies and external self-service rates.
Lead AI training initiatives for content teams as part of the change management process.
Basic Qualifications
10+ years of experience in product management, program management, enterprise content management or a related field.
2+ years of experience in managing a team
Advanced experience with AI/ML technologies, including natural language processing (NLP) techniques like transformer-based models (e.g., GPT, BERT, Claude), sentiment analysis, and text summarization.
Advanced experience with generative AI, including large language models (LLMs), prompt engineering, fine-tuning, and model evaluation metrics.
Preferred Qualifications
Experience with content automation tools or AI-driven content platforms used to streamline content creation processes.
Experience with chatbot training and conversational AI.
Knowledge of content governance frameworks and editorial standards.
Experience working with technical writing and instructional design teams to deliver content for end users.
Expertise in managing cross-functional projects and collaborating with technical teams.
Experience in stakeholder management and executive communication.
Experience defining and tracking performance metrics with strong analytical skills.
Experience working in enterprise-level content creation environments.
Suggested Skills
Strategic Thinking
Innovation
Collaboration
Problem-Solving
Leadership
Adaptability
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $123,000 to $192,000. 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.
practices.
The pay range for this role is [Min US04 to Q2 US01 Top]. 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
LinkedIn is committed to diversity in its workforce and is 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 an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: EEO Statement_2020 - Signed.pdf.
Please reference the following information for more information: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and
https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.
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:
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.
Yearly based
New York, NY, United States
