AI Outcomes Manager, Central

Glean Glean · Enterprise · Nashville, TN · Remote · Customer Outcomes

This role focuses on partnering with customers to identify, design, and implement AI use cases using Glean's Work AI platform, specifically focusing on building and deploying AI agents to achieve measurable business outcomes. The role requires a blend of business acumen, product sense, and prompting skills to translate business needs into practical AI solutions and drive adoption.

What you'd actually do

  1. Partner with executive sponsors and end users to identify high‑impact use cases and turn them into measurable business outcomes on Glean.
  2. Lead strategic reviews and advise customers on their AI roadmap, ensuring they get the most value from Glean’s platform.
  3. Translate business needs into clear problem statements, success metrics, and practical AI solutions; collaborate with Product and R&D to shape priorities.
  4. Conduct discovery workshops, scope pilots, and guide rollouts, driving breadth and depth of adoption of the Glean platform.
  5. Design and build AI agents with and for customers, including rethinking and redesigning underlying business processes to maximize impact and usability.

Skills

Required

  • 5+ years of professional experience in roles that blend business and technology
  • Consultative, customer‑facing approach
  • Strong problem‑solving and communication skills
  • Ability to craft effective prompts and guide AI agents for real customer or business workflows
  • Understanding of what current LLMs can and cannot do
  • Product sense and user empathy
  • Hands‑on experience with modern AI platforms and tools (e.g., OpenAI, Claude, Mistral, Cohere or similar)
  • Technical depth to work with engineers

Nice to have

  • Prior experience in customer‑facing, consultative roles (solutions, support, product management)
  • Comfort presenting to senior leaders
  • Exposure to evaluating AI outcomes (e.g., defining success criteria, using sample tasks, reviewing results) and iterating for quality, latency, and cost.
  • Ability to analyze usage signals and customer feedback to inform roadmap and drive adoption.

What the JD emphasized

  • shipped outcomes, not just demos
  • customer-facing, consultative roles
  • evaluating AI outcomes

Other signals

  • AI agents
  • Work AI platform
  • customer-facing AI solutions
  • enterprise trust