Senior Engineering Manager - Workplace AI - Search
Elastic
Job Overview
Who's the hiring manager?
Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.

Job Description
Senior Engineering Manager - Workplace AI - Search
Elastic, the Search AI Company, empowers individuals to find real-time answers using all their data at scale, unlocking the full potential of businesses and people. The Elastic Search AI Platform, trusted by over 50% of the Fortune 500, combines search precision with AI intelligence to accelerate critical results. By leveraging all structured and unstructured data, and enhancing data security, Elastic’s comprehensive, cloud-based solutions for search, security, and observability help organizations fulfill the promise of AI.
About Elastic Agent Builder
Elastic Agent Builder is our innovative platform designed for developers to swiftly build and deploy powerful, production-ready AI agents directly on Elasticsearch. This platform utilizes 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 via tracing and logging, and seamless integration through APIs or Kibana's conversational interface, you can launch reliable, data-grounded agents in minutes that interact with enterprise data, reason effectively, and take intelligent actions. As an Engineering Manager for this impactful product, you will shape the future of AI agent development at Elastic, addressing exciting challenges in agentic workflows, hybrid search, personalization, and scaling context-driven intelligence for major global organizations. You will join a team at the forefront of solving real-world enterprise AI problems with innovative, open, and high-performance 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, conducting frequent 1-on-1s, delivering quarterly reviews, leading “All Hands” discussions, and onboarding, coaching, and mentoring team members.
- Collaborate with other Tech, Team, and Product leads on the product roadmap, acting as a crucial and communicative part of an engaged and upbeat team.
- Navigate customer experiences with our extraordinary, empathetic support teams, working effectively with diverse individuals and roles.
What You Bring
- Experience managing a team of people at scale, demonstrating flexible people management, comfort with rapid growth, servant leadership, and performance management.
- Experience with remote management, understanding its unique aspects compared to in-office management and how to optimize for a distributed environment.
- Prior experience as an individual contributor in an engineering role, having shipped quality code into delightful applications and understanding how effective 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, enabling effective collaboration and concise expression in various forms of correspondence and documentation.
- A curiosity for learning new tools, workflows, and philosophies that foster growth, functioning well in an environment that embraces change. This role offers significant growth opportunities!
Key Skills/Competency
- Engineering Management
- AI Agent Development
- Elasticsearch
- Vector Databases
- Retrieval-Augmented Generation (RAG)
- Hybrid Search
- Scalable AI Systems
- Remote Team Leadership
- Product Roadmap Collaboration
- Technical Vision
How to Get Hired at Elastic
- Research Elastic's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to align with the company's distributed and inclusive ethos.
- Tailor your resume for AI and Search: Customize your resume to highlight experience in AI agent development, search technologies, vector databases, and large-scale distributed systems relevant to Elastic's core offerings.
- Showcase leadership in remote environments: Provide specific examples of successfully managing and mentoring engineering teams, particularly in a remote or distributed work setting, as this is a key requirement.
- Prepare for technical and behavioral questions: Be ready to discuss your experience with AI-based product development, system design, and your approach to technical vision, execution, and collaboration on product roadmaps.
- Demonstrate strong communication skills: Practice articulating your thoughts clearly and concisely, both in writing and verbally, as effective communication is crucial for this Senior Engineering Manager role at Elastic.
Frequently Asked Questions
Find answers to common questions about this job opportunity
Explore similar opportunities that match your background