Principal Product Manager Agents and Context - Elasticsearch

Elastic Elastic · Enterprise · United Kingdom · Enterprise Search - Engineering

Principal Product Manager for Elastic Agent Builder, focusing on defining the vision, strategy, and execution for context engineering capabilities that enable enterprises to build, manage, and scale AI agents. The role involves understanding customer requirements, market trends, and working with data science and engineering teams to benchmark and evaluate agent capabilities, with a strong emphasis on RAG architectures and vector databases.

What you'd actually do

  1. Work directly with enterprise customers, sales teams, and solution architects to understand requirements, negotiate priorities, clarify product needs
  2. Build, socialize and align a roadmap for core context engineering capabilities built on top of Elastic powered retrieval and relevance for AI Agents
  3. Deeply understand the AI Agent market, major players, trends and how it may impact our strategy
  4. Work directly data science and engineering to build out the strategy for benchmarking and evaluations of agent capabilities
  5. Work with design to build user experiences that address gaps in how agents show and refine context as they work

Skills

Required

  • Product Management
  • Technical Product Management
  • Cloud Infrastructure
  • Platform Products
  • AI/ML Landscape
  • LLMs
  • RAG Architectures
  • Vector Databases
  • Context Engineering
  • Data Science Collaboration
  • Engineering Collaboration
  • Roadmap Development
  • Customer Requirements Gathering
  • Market Analysis
  • Agent Capabilities Evaluation
  • User Experience Design
  • Content Creation (Blog Posts)
  • Open Source Project Engagement
  • AI Partner Ecosystem Engagement
  • Leadership
  • Stakeholder Alignment
  • Cross-functional Influence
  • Communication Skills
  • Technical Storytelling
  • Customer Obsession

Nice to have

  • Solution Delivery
  • Data-Intensive Products
  • AI Tools for Process Acceleration
  • Remote-First Environment Experience
  • Developer Persona Advocacy

What the JD emphasized

  • 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.
  • 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.

Other signals

  • AI Agents
  • Context Engineering
  • LLMs
  • RAG
  • Vector Databases
  • Product Management