This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise.
Job Responsibility:
Partner with executive sponsors and end users to identify high‑impact use cases and turn them into measurable business outcomes on Glean
Lead strategic reviews and advise customers on their AI roadmap, ensuring they get the most value from Glean’s platform
Translate business needs into clear problem statements, success metrics, and practical AI solutions
collaborate with Product and R&D to shape priorities
Conduct discovery workshops, scope pilots, and guide rollouts, driving breadth and depth of adoption of the Glean platform
Design and build AI agents with and for customers, including rethinking and redesigning underlying business processes to maximize impact and usability
Proactively identify expansion opportunities and drive engagement across teams and functions
Requirements:
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