The opportunity
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the…
What you'll do
Work directly with enterprise customers, sales teams, and solution architects: to understand requirements, negotiate priorities, clarify product needs
Build, socialize and align a roadmap for core context engineering: capabilities built on top of Elastic powered retrieval and relevance for AI Agents
Deeply understand the AI Agent market, major players, trends and how it may impact our strategy
Work directly data science and engineering to build out the strategy for: benchmarking and evaluations of agent capabilities
Work with design to build user experiences that address gaps in how agents: show and refine context as they work
Be the product expert and evangelize capabilities for Agent Builder through: content like blog posts and open source projects
What they're looking for
- Work with a broad ecosystem of AI partners including cloud service providers: (Google, Amazon, Microsoft) and community developers
- Extensive Experience: 10+ years of experience in product management or solution delivery for technical, cloud infrastructure, or platform products. A consistent record of leading sophisticated, data-intensive products from inception through launch and iterative growth.
- AI and ML Fluency: Deep technical understanding of the AI/ML landscape, including LLMs, RAG architectures, vector databases, and context engineering. You are comfortable working closely with engineers and data scientists to solve intricate technical challenges.
- Bias to action: You are able to move fast and quickly learn from experiments and tests. You utilize AI tools to help accelerate your processes and bring clarity to your decisions.
