Principal Product Manager, AI Agent Builder

Elastic; United Kingdom; Remote; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Competitive pay based on the work you

Health coverage for you and your f am

Flexible locations & schedules

Generous vacation days

Donations matching up to 2000 USD

Up to 40 volunteer hours yearly

16 weeks parental leave

Job summary

Elastic, the Search AI Company, is looking for a Principal Product Manager to guide vision, strategy, and execution for the Elastic Agent Builder. You will shape how enterprises build, manage, and scale context for AI agents, collaborating with senior leadership and hyperscalers worldwide.

You will work with data science and engineering to set benchmarks, align with enterprise needs, and evangelize capabilities through content and open source initiatives.

Qualifications

• 10+ years leading data-intensive products from inception to launch.
• Deep understanding of AI/ML landscape and agent workflows.
• Strong communication and executive alignment skills.

Responsibilities

• Partner with enterprise customers, sales, and architects to define product needs and priorities.
• Roadmap core context engineering on Elastic retrieval and relevance for AI Agents.
• Analyze AI Agent market trends and their impact on strategy.
• Collaborate with data science and engineering to benchmark agent capabilities.
• Work with design to create UX for how agents show and refine context.
• Evangelize Agent Builder through content and open source projects.
• Engage with AI partners including Google, AWS, Microsoft and developers.

Skills

Experience 10+ years in product mgt

AI/ML fluency

Bias to action

Leadership & influence

Communication excellence

Customer obsession

Tools

LLMs & AI agents

RAG architectures

Vector databases

Job description

Elastic, the Search AI Company, is looking for a Principal Product Manager to guide vision, strategy, and execution for the Elastic Agent Builder. You will shape how enterprises build, manage, and scale context for AI agents, collaborating with senior leadership and hyperscalers worldwide.

You will work with data science and engineering to set benchmarks, align with enterprise needs, and evangelize capabilities through content and open source initiatives.