обновлено 22 дня назад
Product Manager, Enterprise Intelligence (AI)
170 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Manager, Enterprise Intelligence (AI) (AI/Enterprise SaaS): Building proactive intelligence products, dashboards, recommendations, and workflows from enterprise context, graphs, and connected system data with an accent on AI, analytics, and enterprise decision support. Focus on translating ambiguous opportunities into detailed user flows, interaction models, measurable product outcomes, and scalable experiences for leaders and teams.
Location: Hybrid, with 4 days per week in the San Francisco office
Salary: $170,000–$250,000 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, and APIs for secure enterprise intelligence.
What you will do
- Define and drive the Enterprise Intelligence product strategy, roadmap, product bets, and execution plans.
- Research high-value enterprise intelligence use cases with customers, prospects, and internal stakeholders.
- Build actionable workflows, dashboards, recommendations, and proactive experiences using enterprise context, graphs, and connected system intelligence.
- Partner with engineering, design, and data teams to define user flows, interaction patterns, quality standards, and measurable outcomes.
- Prioritize customer needs, platform opportunities, strategic requests, and company priorities.
- Collaborate with go-to-market, solutions, support, and forward-deployed teams to align the product with enterprise realities.
Requirements
- 5+ years of product management experience owning and shipping meaningful product areas.
- Background in B2B SaaS, enterprise software, AI products, analytics, or workflow and intelligence platforms.
- Strong product judgment and ability to translate ambiguous problems into detailed product experiences.
- Technical fluency with structured and unstructured data, knowledge graphs, retrieval, or intelligence layers.
- Ability to define concrete workflows, interaction models, product capabilities, and adoption paths.
- Strong communication, ownership, initiative, collaboration, and execution skills.
Nice to have
- Experience building or adopting AI tools and workflows for product development.
- Experience shaping an emerging product category or enterprise intelligence platform.
Culture & Benefits
- Medical, vision, and dental coverage.
- Generous time-off policy and 401(k) contribution opportunity.
- Home office improvement, education, and wellness stipends.
- Regular company events and daily healthy lunches.
- Inclusive and diverse workplace with a mission-first culture.
Hiring process
- Interview process includes a brief AI-focused exercise or discussion about designing and using AI.
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