4 дня назад
Principal Product Marketing Manager, Enterprise Context (AI)
224 000 - 258 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Principal Product Marketing Manager, Enterprise Context (AI): Defining go-to-market strategy for enterprise AI context technologies, including connectors, indexing, Enterprise Graphs, semantic layers, and structured data, with an accent on technical positioning, product launches, and customer education. Focus on translating complex AI data architectures into differentiated narratives, enabling technical sales teams, and establishing Glean as a leader in enterprise AI.
Location: Hybrid, 4 days per week in the Mountain View or San Francisco office
Salary: $224,000–$258,000 annual base salary, with potential variable compensation, equity, and benefits.
Company
Glean provides a Work AI platform with enterprise search, an AI Assistant, AI agents, SaaS connectors, flexible LLM support, Enterprise Graphs, and APIs.
What you will do
- Own product marketing strategy and go-to-market plans for Enterprise Context, including connectors, search quality, Enterprise Graph, structured data, and memory.
- Partner with Product and Engineering to translate architecture, technical tradeoffs, roadmaps, and customer value into positioning, messaging, launch plans, and customer narratives.
- Lead end-to-end launches, including audience and release strategy, communications, technical documentation, field enablement, customer education, and post-launch adoption.
- Define Glean’s perspective on the emerging context stack for AI and create technical content and customer stories.
- Represent Enterprise Context as a technical spokesperson and equip Sales, Solutions Engineering, Customer Success, and Partners with architecture and proof points.
Requirements
- 8+ years of B2B SaaS product marketing experience or related experience.
- Significant experience with data platforms, AI systems, or a related technical category.
- Deep understanding of RAG, indexing, knowledge graphs, semantic layers, ontologies, and enterprise data architectures.
- Ability to communicate technical decisions and market developments to developers, executives, technical buyers, and cross-functional teams.
- Exceptional technical storytelling and writing skills, with a rigorous approach to accuracy and evidence.
- BA/BS in business, marketing, liberal arts, or a related field; a technical bachelor’s degree or equivalent practical experience is preferred.
Nice to have
- MBA.
Culture & Benefits
- Medical, vision, and dental coverage.
- Generous paid time off and a 401(k) contribution plan.
- Home office improvement, education, and wellness stipends.
- Regular company events and daily healthy lunches.
- Inclusive workplace focused on diverse backgrounds and perspectives.
Hiring process
- Interview process includes a brief AI-focused exercise or discussion.
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