AI Applications Manager, Go-To-Market Enablement

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

This role will be based in New York, Chicago, San Francisco, 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. 

LinkedIn is redefining work in the era of AI. The Go-To-Market Enablement (GTME) Center of Excellence is building a dedicated function of GTME builders who move enablement beyond content into interactive applications, agentic workflows, and AI-powered experiences embedded in the flow of work. 

The AI Applications Manager is a senior builder responsible for translating complex business challenges into scalable AI-powered workflows, applications, agents, and systems. This role combines product ownership, workflow orchestration, systems integration, AI-native development, and technical leadership. 

What Success Looks Like: 

• High-impact AI solutions become trusted capabilities across organizations. 
• Reusable frameworks accelerate delivery across the builder ecosystem. 
• Complex systems are simplified into scalable, durable experiences. 
• GTME transitions from content delivery to AI-powered workflow execution at scale. 

Responsibilities: 

• Own complex business problems from discovery through scaled adoption. 
• Lead user and stakeholder discovery to define jobs-to-be-done and outcomes. 
• Design and ship AI-powered workflows, agents, copilots, and applications. 
• Drive product decisions, prioritization, and feature trade-offs. 
• Design integration strategies spanning enterprise and third-party systems. 
• Define architecture patterns that improve scalability and reuse. 
• Analyze adoption and business impact to guide roadmap decisions. 
• Influence stakeholders across Product, Engineering, Design, Data, and Operations. 
• Establish standards for lifecycle management, documentation, and governance. 
• Mentor builders and raise team-wide product and technical craft. 

Qualifications

Basic Qualifications: 

• 7+ years of experience in data analytics, machine learning, or analytics engineering

• OR Bachelor's degree in Computer Science, Statistics, Operations Research, Engineering, or a related field AND 4+ years of such experience, 

• OR Master's degree in such a field AND 2+ years of such experience, 

• OR Doctorate in such a field.

• Experience building and deploying AI-powered apps or agents using GenAI, LLM APIs, and agent frameworks. 

Preferred Qualifications: 

• Portfolio demonstrating ownership of complex products and outcomes. 
• Experience writing SQL or Python against large-scale data warehouses. 
• Strong communication and stakeholder management skills. 
• Experience driving initiatives without direct authority. 
• Strong product judgment and prioritization skills. 
• Experience building AI agents, copilots, autonomous workflows, or GenAI-powered products at enterprise scale. 
• Working knowledge of software architecture and modern development practices. 
• Proven ability to define reusable patterns, frameworks, and standards. 
• Experience operating within a matrixed global enterprise. 
• Experience mentoring builders and elevating organizational capability. 
• Experience integrating tools such as Gong, Cornerstone, CRM, or knowledge systems. 

Suggested Skills: 

• AI tools
• Communication
• Strategic Thinking 

LinkedIn is committed to fair and equitable compensation practices.  
  
The pay range for this role is $141,000.00 to $231,000.00. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.  
  
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional 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.

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Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36

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.

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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: https://www.linkedin.com/legal/candidate-portal.