Principal Product Manager (Search Relevance)

Overview

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Principal Product Manager (Search Relevance)

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ElasticElastic, 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 seeks an exceptional Technical Principal Product Manager to lead our teams who are pioneering the next-generation of query languages and vector database capabilities for Elasticsearch. Our Search team brings the capabilities of Elasticsearch and our platform to market for a large range of use cases including applied AI for agentic applications, and traditional search experiences. You will

lead cross-team initiatives

to define and deliver breakthrough technical features and platform capabilities. Our diverse, global team spans over 40 countries, building inclusive, user-focused products at significant scale.What You Will Be Doing

Lead the strategic vision and execution for new query languages, data field types and other vector database functionalities within Elasticsearch, incorporating new innovations in machine learning and AI.Cross-Team Initiative Leadership: Drive complex, cross-functional initiatives with engineering, platform, and research teams to deliver groundbreaking technical innovations in search, vector storage, and AI-driven relevance, reflecting a strong track record in leading significant product initiatives and multi-platform integration programs.Architectural Evolution: Champion the evolution of Elastic''s search architecture, focusing on scalable vector indexing, efficient similarity search, reranking and advanced query processing.Technical Product Ownership: Write detailed product artifacts such as PRDs, PRFAQs for new search language constructs and vector database features, ensuring developer usability, based on experience managing developer platforms and launching developer-facing services.Provide Customer and Competitive Insights and Research: Conduct in-depth market analysis, competitive technical assessments, and engage with thought leaders to inform the technical roadmap, consistent with research and strategic product definition.Developer and Community Engagement: Collaborate with developers, data scientists, and the open-source community to gather feedback, validate designs, and drive adoption of new capabilities, leveraging experience in developer relations and growing feature adoption.PandL ownership: Be accountable for driving rapid growth and adoption of Elasticsearch, with continued evaluation of our pricing, margins and COGS of released features.What You Bring

Demonstrated leadership in defining and launching complex technical products in search, databases, query languages, or AI/ML platforms.Deep expertise in vector databases, search pipelines, similarity search algorithms, and distributed systems architecture, including integrating ML models, adapting LLMs, and building privacy-preserving compute platforms.Exceptional communication skills for complex technical concepts.Curiosity to truly understand the technology that serves the majority of the world’s search experiencesStrong understanding of distributed systems, data platforms, and cloud-native architectures (e.g., AWS ML services).Deep empathy for developer challenges, translating them into product opportunities.Experience defining technical value propositions and competitive differentiation.Strong interest and understanding of cutting-edge technologies like vector databases, ML, and generative AI (e.g., RAG, LLM integration).Direct PM experience with search platforms, AI/ML platforms, or developer tooling is highly desirable.Ability to read and understand code (e.g., Python, Java, Go) and engage in technical discussions, reflecting a strong technical foundation including past software engineering roles.Additional Information

As a distributed company, diversity drives our identity. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission.Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of certain sanctioned countries and regions. If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.Seniority level

Not ApplicableEmployment type

Full-timeJob function

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