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Salary: USD 224,000 - 258,000 / annual
Glean is a Work AI platform that helps enterprises work smarter with AI. The company has evolved from advanced enterprise search into a full-scale Work AI ecosystem, powering intelligent search, AI assistants, and scalable AI agents on a secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean enables organizations to govern, scale, and customize AI across their business without vendor lock-in.
This Principal Product Marketing Manager role focuses on defining and executing go-to-market strategy for Glean Enterprise Context—the technologies powering reliable, enterprise-grade AI. You will translate advances in context, connectors, indexes, Enterprise Graphs, semantic layers, and ontologies into clear product narratives, differentiated market positioning, and practical resources.
Key responsibilities include:
- Own product marketing strategy and go-to-market plans for Glean Enterprise Context, including new connectors, search quality, Enterprise Graph, structured data, and memory systems
- Partner with Product and Engineering to translate architecture, technical tradeoffs, and roadmap priorities into differentiated positioning and customer narratives
- Lead end-to-end launches for platform capabilities—from audience and release strategy through communications, technical documentation, field enablement, and adoption
- Define Glean's point of view on the emerging context stack for AI; create compelling technical content and customer stories showing how teams can measure, improve, and trust AI applications
- Serve as a technical spokesperson for Glean Enterprise Context; equip Sales, Solutions Engineering, Customer Success, and Partners with proof points and architecture needed to drive adoption
- Work at the intersection of product, engineering, research, sales, and communications to stay close to the evolving data and AI landscape
This is a highly visible, hands-on role requiring deep engagement with technical teams, understanding of modern data systems, and ability to communicate complex ideas with precision and impact.
REQUIREMENTS:
- 8+ years of B2B SaaS product marketing experience or related field
- BA/BS in business, marketing, liberal arts, or related degree
- Significant experience in data platforms, AI systems, or related technical category
- Deep understanding of modern AI data systems including RAG, indexing, knowledge graphs, semantic layers, ontologies, and enterprise data architectures
- Close familiarity with the AI industry; technical credibility with Product, Engineering, Research, developers, and technical buyers
- Exceptional technical storytelling and writing ability; ability to turn architecture, evaluation results, and product capabilities into compelling narratives without oversimplifying
- Track record of bringing complex technical products to market; ability to communicate with audiences from developers to executives
- Ability to influence cross-functional teams across Product, Engineering, Sales, Customer Success, Communications, and Brand
- Rigorous about accuracy and evidence; energized by ambiguity; able to balance strategic thinking with hands-on execution
- Technical bachelor's degree or equivalent practical experience preferred; MBA is a plus
