Principal Product Marketing Manager (Enterprise Context)
About this role
Translating technical advances in data platforms, semantic layers, and enterprise graphs into clear market narratives forms the core of daily responsibilities. This person owns the go-to-market strategy for Glean Enterprise Context, bridging the gap between engineering teams and enterprise buyers by shaping positioning for connectors, search quality, and AI memory systems.
Operating at the intersection of product, engineering, research, and sales, the role exists to establish technical leadership as the company scales its Work AI ecosystem. Success requires deep technical credibility, rigorous accuracy, and the ability to turn complex architectural decisions into compelling collateral that resonates with developers and executives alike.
What you will do
- Own the product marketing strategy and go-to-market plans for Glean Enterprise Context, including new connectors, search quality, Enterprise Graph, structured data, memory, and context.
- 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 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 the emerging new context stack for AI by creating compelling technical content and customer stories that show how teams can measure, improve, and trust AI applications and agents.
- Represent Glean Enterprise Context as a technical spokesperson and equip Sales, Solutions Engineering, Customer Success, and Partners with proof points and architecture to drive adoption.
What you need
- Bring 8+ years of B2B SaaS product marketing experience or a related field.
- Hold a BA or BS in business, marketing, liberal arts, or a related degree.
- Demonstrate significant experience in data platforms, AI systems, or a related technical category.
- Understand modern AI data systems deeply, including RAG, indexing, knowledge graphs, semantic layers, ontologies, and enterprise data architectures.
- Act as an exceptional technical storyteller and writer who can turn architecture, evaluation results, and product capabilities into compelling narratives without oversimplifying.
- Show a track record of bringing complex technical products to market while communicating effectively with audiences ranging from developers to executives.
Nice to have
- Technical bachelor’s degree or equivalent practical experience
- MBA degree
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 location and remote 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 salary range for the position?
The standard base salary range for this position is $224,000 to $258,000 annually, with compensation determined by factors such as location, level, job-related knowledge, skills, and experience.
What kind of experience is required for this position?
Candidates need 8+ years of B2B SaaS product marketing experience or a related field, along with significant experience in data platforms, AI systems, or a related technical category.
What does the interview process involve regarding AI?
As part of the interview process, candidates complete a brief AI-focused exercise or discussion to understand how they think about, design, and use AI to drive impact in their role.