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Glean

AI-powered enterprise search across applications

Principal Product Marketing Manager - Glean Intelligence

Product MarketingConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Have 8 or more years of B2B SaaS product marketing experience, or experience in a related field.
  • Bring significant experience in AI infrastructure, enterprise software, data platforms, or a related technical category; experience with AI models, model platforms, evaluation systems, agent frameworks, or developer tools is strongly preferred.
  • Understand modern AI systems deeply, including large language models, multimodal models, inference, context windows, retrieval-augmented generation, embeddings, agents, model routing, evaluations, benchmarking, and enterprise data architectures.
  • Closely follow the AI industry and bring technical credibility with Product, Engineering, Research, developers, and technical buyers, translating complex technical decisions and market developments into clear customer and business implications.
  • Be an exceptional technical storyteller and writer who can turn architecture, evaluation results, and product capabilities into compelling narratives and collateral without oversimplifying the technology.
  • Have a track record of bringing complex technical products to market, communicating effectively with audiences ranging from developers to executives, and influencing cross-functional teams across Product, Engineering, Sales, Customer Success, Communications, and Brand.
  • Be rigorous about accuracy and evidence, energized by ambiguity, and able to balance strategic thinking with hands-on execution.
  • Complete a brief AI-focused exercise or discussion as part of the interview process.
  • Hold a BA/BS in business, marketing, liberal arts, or a related degree.

Responsibilities

  • Own the product marketing strategy and go-to-market plans for Glean Intelligence, including model releases, Model Hub, evaluations, evaluation harnesses, and the systems that enable high-quality AI experiences.
  • Partner with Product and Engineering to translate architecture, technical tradeoffs, roadmap priorities, and customer value into differentiated positioning, messaging, launch plans, and customer-ready narratives.
  • Lead end-to-end launches for new models and platform capabilities, from audience and release strategy through communications, technical documentation, field enablement, customer education, and post-launch adoption, while establishing repeatable launch processes.
  • Define Glean’s point of view on model quality, evaluations, benchmarking, reliability, safety, observability, and enterprise AI deployment; create technical content and customer stories that show how teams can measure, improve, and trust AI applications and agents.
  • Bring Model Hub to market by clarifying model choice, performance, cost, latency, and use-case fit; monitor industry and competitive developments; represent Glean Intelligence as a technical spokesperson; and equip Sales, Solutions Engineering, Customer Success, and Partners with context and proof points to drive adoption.

Desired Qualifications

  • A technical bachelor’s degree or equivalent practical experience is preferred.
  • An MBA is a plus.

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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