AI Outcomes Manager, Sweden

Glean Glean · Enterprise · EMEA · Remote · Customer Outcomes

Glean is seeking an AI Outcomes Manager to partner with executives and end-users to identify high-impact use cases, design and build AI agents, and drive adoption of their Work AI platform, translating business needs into measurable outcomes.

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 (e.g., product, analytics, data, engineering, solutions), with a consultative, customer‑facing approach.
  • Strong problem‑solving and communication skills; comfortable working with stakeholders from ICs to executives and tailoring messages to different audiences.
  • Demonstrated ability to craft effective prompts and guide AI agents for real customer or business workflows; you’ve shipped outcomes, not just demos.
  • Understanding of what current LLMs can and cannot do; able to set expectations and steer towards reliable, safe, cost‑effective solutions.
  • Product sense and user empathy—you can spot high‑value applications of AI across diverse job functions and design clear, guided experiences.
  • Hands‑on experience with modern AI platforms and tools (e.g., OpenAI, Claude, Mistral, Cohere or similar), with enough technical depth to work with engineers without needing to be on the critical path for writing production code.

Nice to have

  • Prior experience in customer‑facing, consultative roles (solutions, support, product management) and 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
  • design and build AI agents
  • AI agents

Other signals

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