Principal Product Marketing Manager

Responsibilities

• Own product marketing strategy and go-to-market plans for Glean Intelligence, including model releases, Model Hub, evaluations, evaluation harnesses, and systems supporting high-quality AI experiences.
• Partner with Product and Engineering to translate architecture, technical tradeoffs, roadmap priorities, and customer value into positioning, messaging, launch plans, and customer narratives.
• Lead end-to-end launches for models and platform capabilities, including audience and release strategy, communications, technical documentation, field enablement, customer education, post-launch adoption, and repeatable launch processes.
• Define Glean’s perspective on model quality, evaluations, benchmarking, reliability, safety, observability, and enterprise AI deployment.
• Create technical content and customer stories demonstrating 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 and represent Glean Intelligence as a technical spokesperson.
• Equip Sales, Solutions Engineering, Customer Success, and Partners with context and proof points to drive adoption.

Requirements

• 8+ years of B2B SaaS product marketing experience or related experience.
• Bachelor’s degree in business, marketing, liberal arts, or a related field.
• Significant experience in AI infrastructure, enterprise software, data platforms, or a related technical category.
• Deep understanding of modern AI systems, including LLMs, multimodal models, inference, context windows, RAG, embeddings, agents, model routing, evaluations, benchmarking, and enterprise data architectures.
• Technical credibility with Product, Engineering, Research, developers, and technical buyers.
• Exceptional technical storytelling and writing skills, with the ability to explain complex architectures, evaluation results, and product capabilities accurately and compellingly.
• Experience bringing complex technical products to market and influencing cross-functional teams across Product, Engineering, Sales, Customer Success, Communications, and Brand.
• Ability to balance strategic thinking with hands-on execution and work effectively amid ambiguity.

Nice-to-haves

• Experience with AI models, model platforms, evaluation systems, agent frameworks, or developer tools.
• Technical bachelor’s degree or equivalent practical experience.
• MBA.

Compensation and Benefits

• Base salary: $224,000–$258,000 annually.
• Certain roles may be eligible for variable compensation, equity, and benefits.
• Medical, vision, and dental coverage.
• Generous time-off policy and 401(k) plan.
• Home office improvement stipend.
• Annual education and wellness stipends.
• Regular company events and daily healthy lunches.