AI Applications Manager, Go-To-Market Enablement

LinkedIn•Sunnyvale, CA

6d•Hybrid

About The Position

The AI Applications Manager is a senior builder in LinkedIn’s Go-To-Market Enablement Center of Excellence, which is developing interactive applications, agentic workflows, and AI-powered experiences embedded in the flow of work. The role translates complex business challenges into scalable AI-powered workflows, applications, agents, and systems, combining 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, with work performed both from home and from a LinkedIn office on select days according to business needs. Success means creating trusted, high-impact AI capabilities, reusable frameworks that speed delivery, scalable experiences that simplify complex systems, and AI-powered workflow execution at scale across GTME.

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 apps 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.