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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 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. The company is recognized by Fast Company (Top 10 Most Innovative Companies 2025), CNBC's Disruptor 50, Bloomberg's AI Startups to Watch, Forbes AI 50, and Gartner's Tech Innovators in Agentic AI.
The Principal Product Marketing Manager for Enterprise Context will define and execute go-to-market strategy for the technologies powering reliable, enterprise-grade AI. This role sits at the intersection of product, engineering, research, sales, and communications, translating advances in context, connectors, indexes, Enterprise Graphs, semantic layers, and ontologies into clear product narratives, differentiated positioning, and practical resources.
Key responsibilities include:
- Owning product marketing strategy and go-to-market plans for Glean Enterprise Context, including new connectors, search quality, Enterprise Graph, structured data, and memory systems
- Partnering with Product and Engineering to translate architecture, technical tradeoffs, and roadmap priorities into differentiated positioning and customer narratives
- Leading end-to-end launches for platform capabilities, from audience and release strategy through communications, technical documentation, field enablement, and adoption
- Defining Glean's point of view on the emerging context stack for AI; creating compelling technical content and customer stories
- Serving as a technical spokesperson for Enterprise Context; equipping Sales, Solutions Engineering, Customer Success, and Partners with proof points and architecture
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
- Rigor about accuracy and evidence; comfort with ambiguity; balance of strategic thinking and hands-on execution
- Technical bachelor's degree or equivalent practical experience preferred; MBA is a plus
