Elastic

Search AI

PrincipalProductManager,AIagents

New York, New York, United States Remote Friendly
The Brief

“Principal Product Manager, AI agents at Elastic. Skills: AI Agent strategy, Context engineering, Product vision, Roadmap execution. Guide vision, strategy, and execution for Elastic Agent Builder. Define how enterprises build, manage, and scale context for AI agents”

What You'll Achieve.

Make Agents faster, lower cost, and more accurate

Industry & Context.

Search AI
Problems you'll solve

Solve intricate technical challenges

What They're Looking For.

Must Have

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, Comfortable working closely with engineers and data scientists to solve intricate technical challenges, Able to move fast and quickly learn from experiments and tests, Utilize AI tools to help accelerate your processes and bring clarity to your decisions, Demonstrated ability to lead across a matrixed organization, align multiple stakeholders toward a common vision, and drive execution in a fast-paced, remote-first environment, Outstanding spoken and written communication skills, Ability to distill complex engineering details into compelling narratives for both technical and non-technical audiences, including executive leadership, A passion for industry trends and a commitment to solving real-world customer problems, Advocate for the developer persona and dedicated to building products that empower users to innovate

What You'll Do.

and execution for Elastic Agent Builder

Define how enterprises build

and scale context for AI agents

Understand customer requirements

Build and socialize roadmap for context engineering capabilities

Understand AI Agent market

Build strategy for benchmarking and evaluations

Build user experiences for agent context

Evangelize Agent Builder capabilities through content

Partner with AI ecosystem

How You'll Work.

Team & Collaboration

Work directly with enterprise customers, sales teams, and solution architects; Work directly data science and engineering; Work with design; Work with a broad ecosystem of AI partners including cloud service providers and community developers; Lead across a matrixed organization; Align multiple stakeholders toward a common vision

Communication Scope

Outstanding spoken and written communication skills; Distill complex engineering details into compelling narratives

Process & Methodology

Leading sophisticated products from inception through launch and iterative growth

Free ATS check

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