Related skills
cloud infrastructure llms vector databases retrieval rag architectures📋 Description
- Work with enterprise customers, sales teams, and architects to align priorities.
- Build and socialize a roadmap for context engineering atop Elastic retrieval.
- Analyze AI Agent market trends and impact on strategy.
- Collaborate with data science and engineering to benchmark agent capabilities.
- Partner with design to improve UX for context display and refinement.
- Evangelize Agent Builder via blogs and open source projects.
🎯 Requirements
- 10+ years in product management or solution delivery for technical/cloud/platform products.
- Deep AI/ML fluency: LLMs, RAG, vector databases, and context engineering.
- Bias to action: move fast, learn from experiments, and use AI tools to accelerate decisions.
- Leadership across a matrixed org; align stakeholders and drive execution remotely.
- Excellent communication; distill technical details for technical and non-technical audiences.
- Customer obsession; solve real customer problems and champion developers.
🎁 Benefits
- Health coverage for you and your family in many locations
- Ability to craft your calendar with flexible locations and schedules for many roles
- Generous number of vacation days each year
- Donation matching up to $2000 (or local currency) per year
- Up to 40 hours each year to use toward volunteer projects you love
- Parental leave: minimum of 16 weeks
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