AI Success Manager (US West Customer Hours)

Glean Work is hiring an AI Success Manager (US West Customer Hours) in Bengaluru, India. Level rates it ; you can apply on Glean Work.

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
The posting mentions AI agents, customer success and enterprise AI among its tools and skills.
Level classes it as a senior role.
Glean Work has 130 other open roles on Level.

AI in this role

Help strategic customers adopt and maximize value from Glean's enterprise AI platform and agentic capabilities.

ai-agentscustomer-successenterprise-aiai-adoption

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.

About the Applied AI Team

The Applied AI team works with Glean’s strategic customers to turn AI capabilities into meaningful business results. We help customers understand where AI can have the greatest impact, imagine new ways of working, identify and launch high-value use cases, help employees adopt them, and measure the results.

We work closely with customer executives and practitioners, Product, Engineering and Sales. What we learn from customers helps shape Glean’s products, adoption programs, and broader AI strategy.

About the Role

As an AI Success Manager, you will be a trusted advisor and strategic partner to a portfolio of Glean’s strategic and enterprise customers. You will work directly with executives, business leaders, technical teams, and practitioners to understand their goals, workflows, personas, and challenges.

You will help customers imagine what is possible with Glean and rethink how work can be done across their organizations. This includes uncovering opportunities they have not yet identified, shaping new AI-powered ways of working, and turning those ideas into practical use cases and adoption plans.

You will own the full customer journey - from understanding the business and defining the opportunity, through use-case design, deployment readiness, end-to-end deployment, change management, adoption, measurement, and expansion. You will be accountable for helping customers move from ideas to production and from production to measurable business results.

You will own the overall customer plan and outcomes, while partnering with AI Outcomes Managers on function-level enablement, prompting, agent building, and user adoption.

In This Role, You Will

Build trusted relationships with executives, business leaders, technical teams, and practitioners; understand their goals, workflows, personas, and challenges.
Help customers imagine what is possible with Glean and identify new ways AI can improve how people and teams work.
Discover and prioritize high-impact use cases, then turn them into clear roadmaps with owners, milestones, and success measures.
Own deployment readiness and lead end-to-end deployment, from technical planning and configuration through rollout, go-live, and production support.
Drive adoption and organizational change with AI Outcomes Managers, including training, champions, prompting, agent building, and enablement.
Define value hypotheses, baselines, KPIs, and ROI measures; lead post-deployment reviews to assess results and determine next steps.
Maintain a clear view of customer readiness, technical health, adoption, value, risks, and opportunities; lead Executive Business Reviews around these areas.
Monitor usage and adoption to improve how customers use Glean and expand successful use cases across teams and workflows.
Share customer patterns and unmet needs with Product, R&D, and company leadership while prioritizing the work most likely to drive customer results.

You May Be a Good Fit If You Have

6+ years in enterprise AI or technology transformation roles, including Customer Success, Technical Account Management, AI consulting or deployment, Solutions Consulting, Solutions Architecture, Strategy Consulting or Value Consulting.
Experience advising executives and business leaders at large or complex companies.
The ability to understand how businesses and teams work, identify where AI can help, and turn those opportunities into practical plans.
A track record of helping customers move from an undefined opportunity to a use case, deployment, adoption, and measurable results.
Experience leading change-management programs and measuring the value of technology investments.
Strong technical ability, including familiarity with APIs, SDKs, integrations, permissions, data flows, security, and enterprise deployment issues.
Strong consulting and communication skills, including discovery, workflow mapping, problem framing, use-case prioritization, and executive communication.
The ability to work credibly with executives, technical teams, and end users while managing multiple priorities.
Genuine curiosity about how businesses operate and how AI can help people work better.

Note: This role with require you to work in US West hours.

Location:

This role is hybrid (4 days a week in our Bangalore office)

Compensation & Benefits:

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 are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

#LI-HYBRID

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. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.
By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.

How we rate this

AI Success Manager (US West Customer Hours) at Glean Work rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

AI Success Manager (US West Customer Hours) is an open job at Glean Work.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Bangalore, India.
The job was posted on June 16, 2026.
Seniority: senior.
Applications are handled by Glean Work. Apply on Glean Work

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsCustomer SuccessEnterprise AIAI Adoption

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where customer success was part of your work. What did you do?
Tell me about a project where enterprise ai was part of your work. What did you do?
Tell me about a project where ai adoption was part of your work. What did you do?
Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

List these exact terms on your resume: AI agents, Customer Success, Enterprise AI, and AI Adoption. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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