AI Applications Manager, Go-To-Market Enablement
About The Position
LinkedIn's Go-To-Market Enablement (GTME) Center of Excellence is building a 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 who translates complex business challenges into scalable AI-powered workflows, applications, agents, and systems. The role combines product ownership, workflow orchestration, systems integration, AI-native development, and technical leadership. The position is based in New York, Chicago, San Francisco, or Sunnyvale and is hybrid, performed both from home and from a LinkedIn office on select days as determined by team business needs. Success means delivering trusted, high-impact AI capabilities across organizations, accelerating delivery through reusable frameworks, simplifying complex systems into scalable and durable experiences, and enabling GTME to shift from content delivery to AI-powered workflow execution at scale.
Requirements
- At least 7 years of experience in data analytics, machine learning, or analytics engineering; OR a bachelor's degree in Computer Science, Statistics, Operations Research, Engineering, or a related field and at least 4 years of such experience; OR a master's degree in such a field and at least 2 years of such experience; OR a doctorate in such a field.
- Experience building and deploying AI-powered applications or agents using GenAI, LLM APIs, and agent frameworks.
Nice To Haves
- A 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.
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.
Benefits
- Annual performance bonus may be included in the total compensation package.
- Stock may be included in the total compensation package.
- Benefits may be included in the total compensation package.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
