Manager, AI Outcomes

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

This role manages a team responsible for ensuring customers successfully adopt and derive value from Glean's AI solutions, focusing on training, advisory, and business impact. It involves managing a team, developing adoption playbooks, engaging with stakeholders, synthesizing field feedback to influence the 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

  • Experience in customer-facing, consultative roles
  • Leadership experience
  • Ability to scale teams
  • Drive business transformation through technology adoption
  • Excellent problem-solving skills
  • Effective communication with diverse audiences
  • Strong data fluency
  • Consultative, creative, and motivated mindset
  • Proven product sense
  • Experience facilitating workshops and change management programs
  • Understanding of modern AI capabilities (prompting, agent workflows, LLMs)

Nice to have

  • AI/data/enterprise SaaS company experience

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.
  • Understanding of modern AI capabilities (prompting, agent workflows, LLMs), with ability to coach others on best practices.