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Glean

AI-powered enterprise search across applications

AI Success Manager

Customer SuccessConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • At least 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.
  • Ability to understand how businesses and teams work, identify where AI can help, and turn opportunities into practical plans.
  • Track record of helping customers move from an undefined opportunity through use case development, deployment, adoption, and measurable results.
  • Experience leading change-management programs and measuring the value of technology investments.
  • Technical familiarity with APIs, SDKs, integrations, permissions, data flows, security, and enterprise deployment issues.
  • Consulting and communication skills in discovery, workflow mapping, problem framing, use-case prioritization, and executive communication.
  • 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.
  • Ability to work US West hours.

Responsibilities

  • Build trusted relationships with executives, business leaders, technical teams, and practitioners, and understand their goals, workflows, personas, and challenges.
  • Help customers envision 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, key performance indicators, and return-on-investment 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 on 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, Research and Development, and company leadership while prioritizing work likely to drive customer results.
  • Own the overall customer plan and outcomes across the customer journey, from understanding the business and defining opportunities through use-case design, deployment readiness, deployment, change management, adoption, measurement, and expansion.

About the Company

Glean

AI-powered enterprise search across applications

Glean builds an AI-powered search and knowledge assistant that helps employees find information across all of a company's apps and data. Its core product is an enterprise search tool that understands natural language queries and retrieves relevant results from documents, conversations, tickets, and other sources, plus a chat assistant that can summarize and answer questions using that same information. The system uses deep learning language models that adapt to a company's own terminology and context, improving relevance without manual tuning, and it offers hosting options to align with security and data policies. Compared with competitors, Glean focuses on cross-application search, organization-specific language learning, and a combined search-and-chat experience that delivers direct answers and summaries from internal knowledge sources. Its goal is to help teams work faster by turning scattered information into easily accessible answers, reducing time spent searching.

Company size
1,001-5,000
Company stage
Series F
Total funding
$805M
Headquarters
Palo Alto, CA
Founded
2019

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