Elastic

Technology

PrincipalProductManager,AIagents-Search

$250–400k ~AI est. Chicago, Illinois, United States; Tel Aviv, Israel; United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Principal Product Manager, AI agents - Search at Elastic. Skills: AI agents, Context engineering, Product management. Guide vision for Agent Builder. Guide strategy for Agent Builder”

Industry & Context.

Technology
Problems you'll solve

Solve intricate technical challenges

What They're Looking For.

Must Have

10+ years product management experience, 10+ years solution delivery experience, Experience leading technical products, Experience leading platform products, Deep technical understanding of AI/ML, Comfortable working with engineers, Comfortable working with data scientists, Ability to move fast, Ability to learn from experiments, Ability to lead across matrixed organization, Ability to align stakeholders, Ability to drive execution, Outstanding spoken communication skills, Outstanding written communication skills, Commitment to solving customer problems, Advocate for developer persona

Nice to Have

Experience with LLMs, Experience with RAG architectures, Experience with vector databases, Experience with context engineering, Experience with AI tools

What You'll Do.

Guide vision for Agent Builder

Guide strategy for Agent Builder

Guide execution for Agent Builder

Define how enterprises build context

Define how enterprises manage context

Define how enterprises scale context

Understand customer requirements

Negotiate priorities with customers

Clarify product needs with customers

Build roadmap for context engineering

Socialize roadmap for context engineering

Align roadmap for context engineering

Understand AI Agent market

Understand AI Agent players

Understand AI Agent trends

Build strategy for benchmarking

Build strategy for evaluations

Build user experiences

Evangelize Agent Builder capabilities

Create open source projects

How You'll Work.

Team & Collaboration

Cross-functional collaboration; Partner with hyperscalers; Work with senior leadership; Work with data science; Work with engineering; Work with design; Work with AI partners; Work with cloud providers; Work with community developers

Communication Scope

Executive presentations; Technical communication

Process & Methodology

Roadmap

Full Job Description

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 precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Elastic, the Search AI Company, 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, the Agent Builder serves as the critical context layer that enables users to make Agents faster, lower cost, and more accurate. In this high-impact role, you will be responsible for defining how enterprises build, manage, and scale context for AI agents. You will work at the cutting edge of the AI ecosystem, working with senior leadership and partnering with hyperscalers and evangelizing our solutions to a global community of AI developers. What You Will Be Doing 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 produ

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