Principal Product Marketing Manager, Glean Intelligence
Glean Work is hiring a Principal Product Marketing Manager, Glean Intelligence in Mountain View and San Francisco, United States. It pays $224k-$258k a year and Level rates it ; you can apply on Glean Work.
Level's read on this job
- Level rates this marketing role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Pay on this posting starts 52% higher than the typical marketing posting on Level.
- The posting mentions RAG and AI agents among its tools and skills.
- Level classes it as a lead role.
- Glean Work has 130 other open roles on Level.
AI in this role
- 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 compelling 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 the context and proof points they need to drive adoption.
- 8+ years of B2B SaaS product marketing experience, or related field
- BA/BS in business, marketing, liberal arts, or related degree
- 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 LLMs, multimodal models, inference, context windows, RAG, 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.
- Are 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.
- Are rigorous about accuracy and evidence, energized by ambiguity, and able to balance strategic thinking with hands-on execution; a technical bachelor’s degree or equivalent practical experience is preferred, and an MBA is a plus.
- This role is hybrid (4 days a week in our Mountain View office or San Francisco office)
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How we rate this
Principal Product Marketing Manager, Glean Intelligence at Glean Work rates 74 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in marketing jobs at this level
Pay
- This job starts at
- $224k
- Typical marketing job
- $147k
This posting starts 52% above the typical marketing job. See marketing jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: RAG and AI agents. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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