Senior Engineering Manager, Workplace AI Search

Senior Engineering Manager, Workplace AI Search at Elastic

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 Agent Builder is our latest, recently launched platform that empowers developers to rapidly build and deploy powerful, production-ready AI agents directly on top of Elasticsearch—leveraging the world's most sophisticated search relevance, vector database, and retrieval-augmented generation capabilities. With intuitive context engineering primitives, natural language-to-ES|QL translation, customizable tools, secure data access, full observability through tracing and logging, and seamless integration into any environment via APIs or Kibana's conversational interface, you can ship reliable, data-grounded agents in minutes that chat with enterprise data, reason effectively, and take intelligent actions. As an Engineering Manager for this high-impact product, you'll shape the future of AI agent development at Elastic, tackling exciting challenges in agentic workflows, hybrid search, personalization, and scaling context-driven intelligence for the world's largest organizations—joining a team at the forefront of solving real-world enterprise AI problems with innovative, open, and performant technology.

What You Will Be Doing:

• Drive technical vision and execution for the Elastic Agent Builder platform, focusing on agentic workflows, hybrid search, personalization, and scaling context-driven intelligence.
• Lead and manage a dedicated team of engineers, performing frequent 1on1s, delivering quarterly reviews, leading in “All Hands” discussions, and onboarding, coaching, and mentoring new and existing team mates.
• Collaborate with other Tech, Team, and Product leads over a product roadmap, acting as a crucial and communicative part of an engaged and upbeat team.
• Help navigate customer experiences with our extraordinary, empathetic support teams, working with all types of people and roles.

What You Bring:

• Experience managing a team of people at scale, with flexible people management, rapid growth, servant leadership, and comfort with performance management.
• Experience with remote management, understanding how it differs from in-office management and how to optimize for a distributed environment.
• Experience as an individual contributor in an engineering role, having shipped quality code into delightful applications and understanding how good teams build systems.
• Bonus: Experience in building and shipping AI-based products that operate reliably at enterprise scale.
• Measured and articulate written and spoken communication skills, working well with others and crafting concise and expressive thoughts into correspondence.
• A curiosity about learning new tools, workflows and philosophies that can help you grow, functioning well in an environment that drives towards change.

Key skills/competency

• Engineering Management
• AI Agents
• Hybrid Search
• Machine Learning
• Elasticsearch
• Vector Database
• Retrieval-Augmented Generation (RAG)
• Distributed Systems
• Servant Leadership
• Technical Vision