About the Role:

Glean is seeking a leader of our AIOM (AI Outcomes Manger) team. The AIOMs are responsible for ensuring that our customers' end-users successfully adopt and derive meaningful, measurable value from Glean's AI solutions. The AIOMs perform the following types of activities: End-user training enablement (company and function sessions, search, chat and agent content), prompt and agent advisory/building and value realization. Ultimately, the AIOMs are responsible for breadth and depth of end-user engagement across our product suite.

You will:

• 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.
• 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
• Engage with executive sponsors and business stakeholders across priority accounts
• 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
• 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
• Design, implement, and report on metrics for the AIOM team demonstrating ROI, adoption, and transformation progress for customers
• Serve as a thought leader and subject matter expert on AI outcomes and user transformation; evangelize best practices internally and externally.

About you:

• 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
• 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.

Location:

• This role is hybrid (3-4 days a week in our SF Bay Area Offices)

Compensation & Benefits:

The standard OTE range for this position is $250,000-$300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.

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AI-First Mindset at Glean:

At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today - prior Glean experience isn't required.