Elastic

Product Manager Agents and Context - Elasticsearch

In short

Principal Product Manager role at Elastic (the Search AI Company) to drive vision, strategy, and execution for the Elastic Agent Builder, the context layer enabling faster, cheaper, more accurate AI agents. The role involves partnering with enterprise customers, sales, data science, engineering, and hyperscalers (Google, Amazon, Microsoft) to shape context engineering capabilities for AI agents. It demands 10+ years of product management experience with technical/cloud/platform products, deep AI/ML fluency (LLMs, RAG, vector databases), and strong leadership across a matrixed, remote-first organization. Compensation is base salary only, with a stated range of €104,800—€165,700 EUR.

About 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.
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.
Responsibilities
•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 with 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 product expert and evangelize capabilities for Agent Builder through content like blog posts and open source projects
•Work with a broad ecosystem of AI partners including cloud service providers (Google, Amazon, Microsoft) and community developers
Requirements
•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.
•AI and ML Fluency: 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.
•Bias to action: Able to move fast and quickly learn from experiments and tests. Utilizes AI tools to help accelerate processes and bring clarity to decisions.
•Leadership and Influence: 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.
•Communication Excellence: Outstanding spoken and written communication skills. Can distill complex engineering details into compelling narratives for both technical and non-technical audiences, including executive leadership.
•Customer Obsession: A passion for industry trends and a commitment to solving real-world customer problems. An advocate for the developer persona, dedicated to building products that empower users to innovate.
Compensation
Compensation for this role is in the form of base salary; this role does not have a variable compensation component. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. The final compensation offered within the applicable range will be determined based on relevant professional experience, level of skills and expertise, alignment with role requirements, and overall scope and complexity of the position.
The typical starting salary range for this role is: €104,800—€165,700 EUR.
Benefits
•Competitive pay based on the work you do here and not your previous salary
•Health coverage for you and your family in many locations
•Ability to craft your calendar with flexible locations and schedules for many roles
•Generous number of vacation days each year
•Matching up to $2000 (or local currency equivalent) for financial donations and service
•Up to 40 hours each year to use toward volunteer projects
•Minimum of 16 weeks of parental leave
Export Control Notice
Elasticsearch develops and distributes technology and information subject to U.S. and other countries' export controls and licensing requirements for individuals located in or nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (Crimea, DNR, LNR, Kherson, Zaporizhzhia). If located in or a national of one of these countries/regions, an export license may be required as a condition of employment. National origin and/or nationality do not affect eligibility for employment with Elastic.

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