Manager, AI Outcomes

Glean Glean · Enterprise · Mountain View, CA · Customer Outcomes

Manager for AI Outcomes team responsible for customer adoption and value realization of Glean's AI solutions, including training, prompt/agent advisory, and business impact measurement. This role involves managing a team, developing adoption playbooks, engaging with stakeholders, synthesizing field feedback to influence product roadmap, and reporting on team metrics.

What you'd actually do

  1. Manage the employee lifecycle for a team of AI Outcomes Managers to drive high-impact customer enablement, advisory/building on our platform and business value realization with Glean’s products.
  2. Develop a set of Glean prescriptive adoption playbooks including codifying a set of standard process, templates and assets to drive delivery consistency with our customers
  3. Engage with executive sponsors and business stakeholders across priority accounts
  4. Partner cross-functionally with the other leaders of the customer organization including: Solution Architects, Delivery Excellence Managers and Support to ensure Glean is providing a seamless customer journey to our customers
  5. Synthesize feedback and business insights from the field, influence Glean’s product roadmap, and collaborate with Product and R&D to shape new features and agent capabilities

Skills

Required

  • Customer-facing consultative experience
  • Leadership experience
  • Team scaling
  • Business transformation through technology adoption
  • Excellent problem-solving skills
  • Effective communication with diverse audiences
  • Data fluency
  • Consultative, creative, and motivated mindset
  • Product sense
  • Facilitating workshops
  • Change management programs
  • Understanding of modern AI capabilities (prompting, agent workflows, LLMs)

Nice to have

  • Experience in a post-sale capacity
  • Experience in AI/data/enterprise SaaS company

What the JD emphasized

  • 4+ years of experience in customer-facing, consultative roles (e.g., management consulting, customer success, business transformation, product management, solutions consulting) with an AI/data/enterprise SaaS company.
  • 2+ years of leadership experience and demonstrated ability to scale teams and drive business transformation through technology adoption, ideally in a post-sale capacity
  • Understanding of modern AI capabilities (prompting, agent workflows, LLMs), with ability to coach others on best practices.