AI Applications Manager, Go-To-Market Enablement

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.

Requirements

• 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

• 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.