Manager, AI Outcomes

Glean Glean · Enterprise · Bangalore, India · Customer Outcomes

Glean is seeking a Manager, AI Outcomes to lead a team responsible for ensuring customers successfully adopt and derive measurable value from Glean's AI solutions. This involves customer enablement, training, prompt and agent advisory, and driving business value realization. The role requires managing a team, developing adoption playbooks, engaging with stakeholders, synthesizing field feedback to influence the product roadmap, and reporting on team metrics. The ideal candidate has experience managing teams in customer-facing, consultative roles within an AI/data/enterprise SaaS company, strong data fluency, and an understanding of modern AI capabilities.

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

  • 4+ years of experience in managing teams and customer-facing, consultative roles (e.g., management consulting, customer success, business transformation, product management, solutions consulting) with an AI/data/enterprise SaaS company.
  • Demonstrated ability to lead teams and drive business transformation through technology adoption.
  • Excellent problem-solving skills and ability to communicate effectively with diverse audiences, from executives to end users.
  • Strong data fluency; comfortable with adoption/ROI metrics and business KPIs.
  • Consultative, creative, and motivated mindset—excited about helping organizations rethink business processes and work styles with AI.
  • Proven product sense and ability to maximize the impact of complex software platforms.
  • Experience facilitating workshops and change management programs for business transformation.
  • Understanding of modern AI capabilities (prompting, agent workflows, LLMs), with ability to coach others on best practices.

What the JD emphasized

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