Principal Product Marketing Manager, Enterprise Context
About this role
The product team at Glean builds a Work AI platform that powers intelligent search, an AI assistant, and scalable enterprise AI agents on a secure ecosystem. This role takes charge of defining and executing the go-to-market strategy for Glean Enterprise Context, translating technical advances in connectors, indexes, semantic layers, and knowledge graphs into clear narratives. Working closely with product, engineering, research, and sales, this person will shape market positioning, lead end-to-end product launches, and act as a technical spokesperson.
Candidates who thrive in this position possess deep technical credibility in modern AI data systems and can communicate complex architectural concepts with precision. The ideal individual is rigorous about accuracy, comfortable with ambiguity, and capable of balancing high-level strategy with hands-on execution. Someone who understands how to build trust with technical buyers and developers while equipping sales and partner teams will find significant success here.
What you will do
- Own the product marketing strategy and go-to-market plans for Glean Enterprise Context features such as new connectors, search quality, Enterprise Graph, and structured data.
- Partner directly with product and engineering teams to translate technical architecture, roadmap priorities, and tradeoffs into differentiated positioning and launch plans.
- Lead end-to-end product launches from initial release strategy through communications, documentation, field enablement, and post-launch adoption.
- Define Glean’s perspective on the emerging AI context stack by creating compelling technical content and customer stories that demonstrate trust and measurable value.
- Represent Glean Enterprise Context as a technical spokesperson to equip sales, solutions engineering, customer success, and partners with necessary proof points.
What you need
- Bring at least 8 years of B2B SaaS product marketing experience or a related technical background.
- Possess a bachelor's degree in business, marketing, liberal arts, or a related field, with a technical degree or equivalent practical experience preferred.
- Demonstrate significant experience working within data platforms, AI systems, or related technical categories.
- Maintain a deep understanding of modern AI data systems including RAG, indexing, knowledge graphs, semantic layers, ontologies, and enterprise data architectures.
- Exhibit exceptional technical storytelling and writing capabilities to convert architecture and product metrics into clear narratives without oversimplifying.
- Show a proven track record of bringing complex technical products to market while influencing cross-functional teams across technical and business functions.
Nice to have
- Technical bachelor’s degree or equivalent practical experience
- MBA
Benefits
- Medical, Vision, and Dental coverage
- Generous time-off policy
- 401k plan contribution
- Home office improvement stipend
- Annual education and wellness stipends
- Healthy lunches daily
Skills and tech stack
Questions candidates ask
What is the work location policy for this role?
This role is hybrid and requires working 4 days a week in either the Mountain View office or the San Francisco office.
What is the compensation range for this position?
The standard base salary range for this position is $224,000 to $258,000 annually, with exact compensation determined by factors such as location, level, knowledge, skills, and experience.
What teams will I collaborate with regularly?
You will work at the intersection of product, engineering, research, sales, and communications, while also equipping solutions engineering, customer success, and partners.
What is the interview process like regarding AI?
As part of the interview process, you will complete a brief AI-focused exercise or discussion to help the team understand how you think about, design, and use AI to drive impact.