Related skills
cloud infrastructure llms rag vector databases retrieval📋 Description
- Work with enterprise customers, sales teams, and solution architects to define product needs
- Build and align a roadmap for core context engineering for AI Agents
- Analyze the AI Agent market, trends, and strategic impact
- Collaborate with data science and engineering to benchmark agent capabilities
- Partner with design to improve UX for context display
- Evangelize Agent Builder via blog posts and open source projects
🎯 Requirements
- 10+ years in product management for technical/cloud infrastructure or platform products
- Deep AI/ML knowledge: LLMs, RAG, vector databases, context engineering
- Bias to action; move fast, learn from experiments; use AI tools
- Leadership across a matrixed org to align stakeholders in a remote-first setting
- Excellent written and spoken communication for technical and non-technical audiences
- Customer obsession; advocate for developers and solve real-world problems
🎁 Benefits
- Health coverage for you and your family in many locations
- Flexible locations and schedules for many roles
- Donation and service-match up to 2000 (local currency equivalent)
- Up to 40 volunteer hours per year
- Parental leave of at least 16 weeks
- Employee stock program eligibility
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