Principal Product Manager Agents and Context - Elasticsearch

Elastic is looking for a Principal Product Manager to guide the vision, strategy, and execution for the Elastic Agent Builder. As organizations shift from traditional data retrieval to autonomous, agentic workflows, Agent Builder serves as the critical context layer that makes agents faster, lower cost, and more accurate. You will define how enterprises build, manage, and scale context for AI agents, working with senior leadership, partnering with hyperscalers, and evangelizing to a global community of AI developers.

Responsibilities

• Work directly with enterprise customers, sales teams, and solution architects to understand requirements, negotiate priorities, and clarify product needs.
• Build, socialize, and align a roadmap for core context engineering capabilities built on Elastic-powered retrieval and relevance for AI agents.
• Deeply understand the AI agent market, major players, and trends, and how they shape strategy.
• Partner with data science and engineering on benchmarking and evaluation of agent capabilities.
• Work with design on user experiences that address gaps in how agents show and refine context as they work.
• Evangelize Agent Builder through blog posts, open source projects, and community engagement.
• Collaborate with a broad ecosystem of AI partners, including Google, Amazon, and Microsoft, plus community developers.

Qualifications

• 10+ years in product management or solution delivery for technical, cloud infrastructure, or platform products, with a record of leading data-intensive products from inception through launch and growth.
• Deep technical understanding of the AI/ML landscape, including LLMs, RAG architectures, vector databases, and context engineering.
• Bias to action, moving fast and learning quickly from experiments, using AI tools to accelerate decisions.
• Demonstrated ability to lead across a matrixed organization and drive execution in a fast-paced, remote-first environment.
• Outstanding communication skills, distilling complex engineering detail into compelling narratives for technical and executive audiences.
• Customer obsession and advocacy for the developer persona.