Principal Product Marketing Manager (Glean Intelligence)
Glean
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This role on the market
701 open intelligence roles across 186 companies are on ApplySarthi right now, most of them in Bengaluru (54), Hyderabad (33), Chennai (8).
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What intelligence roles keep asking for: Python (28%), SQL (28%), AWS (19%), Tableau (18%), Data modelling (15%), Redshift (13%), ETL (12%) — counted across their open postings here.
Product Marketing Manager jobs in the United States · Remote Product Marketing Manager jobs · Customer success jobs · LLMs jobs · Observability jobs · RAG jobs
Glean has 130 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for intelligence roles keep coming back to Python, SQL, AWS, Tableau. Practise those questions before you sit with Glean.
Questions you are likely to be asked
- Why do you want to join Glean?
- What is your experience with Customer success? Tell me one thing you learned the hard way.
- Tell me about a campaign you ran. What were the results?
- How do you decide which channel to spend budget on?
- Tell me about a campaign that did not work. What did you learn?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Principal Product Marketing Manager (Glean Intelligence) at Glean interview free →- 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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Listed on greenhouse · posted 2026-09-01. ApplySarthi collects openings and links to application pages; the role is advertised by Glean, not by us.