Related skills
llms vector databases retrieval relevance rag architectures📋 Description
- Lead the vision and strategy for the Elastic Agent Builder.
- Collaborate with enterprise customers, sales, and solution architects.
- Define a roadmap for core context engineering on Elastic retrieval.
- Analyze AI Agent market trends and impact on strategy.
- Partner with data science and engineering on benchmarking and evaluations.
- Evangelize capabilities for Agent Builder through content and open source.
🎯 Requirements
- 10+ years of product management for technical, cloud infrastructure, or platform products.
- AI and ML fluency: Deep understanding of AI/ML, including LLMs, RAG architectures, vector databases, and context engineering.
- Bias to action: Move fast and learn from experiments; utilize AI tools to accelerate decisions.
- Leadership and Influence: Lead across a matrixed organization in a remote-first environment.
- Communication Excellence: Distill complex engineering details into compelling narratives for technical and exec audiences.
- Customer Obsession: Advocate for developers and solve real-world customer problems.
🎁 Benefits
- Competitive pay based on the work you do here.
- 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.
- Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service.
- Up to 40 hours each year to use toward volunteer projects you love.
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