AI Applications Manager - Go-To-Market Enablement

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.

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• Documents in alternate formats or read aloud to you
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