AI Outcomes Manager, East

Glean Glean · Enterprise · New York, NY +1 · Remote · Customer Outcomes

The AI Outcomes Manager will partner with executives and end-users to identify high-impact use cases for Glean's Work AI platform, translate business needs into AI solutions, and design/build AI agents to drive adoption and measurable business outcomes. This role requires a blend of business acumen, product sense, and prompting skills, with a focus on customer-facing consultation and driving tangible results.

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
  • 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)

Nice to have

  • Prior experience in customer-facing, consultative roles
  • comfort presenting to senior leaders
  • Exposure to evaluating AI outcomes
  • Ability to analyze usage signals and customer feedback

What the JD emphasized

  • you’ve shipped outcomes, not just demos
  • Hands-on experience with modern AI platforms and tools
  • enough technical depth to work with engineers without needing to be on the critical path for writing production code

Other signals

  • AI agents
  • Work AI platform
  • customer-facing
  • business outcomes