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
About Elastic, the Search AI Company
Elastic, the Search AI Company, empowers everyone to find answers in real time using all their data, at scale. The Elastic Search AI Platform, trusted by over 50% of the Fortune 500, combines the precision of search with the intelligence of AI to accelerate critical results. By leveraging structured and unstructured data, and securing private information, Elastic's cloud-based solutions for search, security, and observability help organizations realize the promise of AI.
What is The Role: Senior Engineering Manager, Workplace AI Search
Elastic Agent Builder is a recently launched platform enabling developers to rapidly build and deploy powerful, production-ready AI agents directly on Elasticsearch. This platform leverages 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 via APIs or Kibana's conversational interface, you can ship reliable, data-grounded agents in minutes that interact with enterprise data, reason effectively, and take intelligent actions.
As an Engineering Manager for this high-impact product, you will 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. You will join 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, conducting frequent 1-on-1s, delivering quarterly reviews, leading 'All Hands' discussions, and onboarding, coaching, and mentoring teammates.
- 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.
- Help navigate customer experiences with our extraordinary, empathetic support teams, working with diverse people and roles.
What You Bring
- Experience managing a team of people at scale, with expertise in flexible people management, rapid growth, servant leadership, and performance management.
- Experience with remote management, understanding its unique challenges 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, enabling effective collaboration and concise expression in various forms of correspondence.
- A curiosity about learning new tools, workflows, and philosophies that foster growth, functioning well in an environment that embraces change. This role offers tremendous opportunities for growth!
Additional Information - We Take Care of Our People
As a distributed company, diversity is central to Elastic's identity. Whether launching a new career or growing an existing one, Elastic provides an environment where you can balance great work with a great life. We value what you can do, regardless of age or background.
Elastic strives for parity of benefits across regions, prioritizing employee well-being. This includes competitive pay based on your contributions, health coverage for you and your family in many locations, flexible work locations and schedules, generous vacation days, a company match of up to $2000 for financial donations and service, up to 40 hours each year for volunteer projects, and a minimum of 16 weeks of parental leave.
Elastic is an equal opportunity employer committed to creating an inclusive culture. Qualified applicants 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 legally protected basis. We welcome individuals with disabilities and strive to create an accessible and inclusive experience. To request an accommodation, please email candidate_accessibility@elastic.co.
Compensation and Benefits
Compensation for this role is in the form of base salary and is currently eligible for Elastic's stock program. Our total rewards package includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, alongside a range of other benefits focused on holistic employee well-being.
The typical starting salary range for new hires in this role is $159,800—$252,800 USD. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range of $191,900—$303,500 USD may apply. Salary placement within the range is based on factors such as education, qualifications, experience, skills, geographic location, performance, and business needs.
Key skills/competency
- AI Agent Development
- Elasticsearch
- Hybrid Search
- Context-Driven Intelligence
- Team Leadership
- Remote Management
- Product Roadmap
- Servant Leadership
- Vector Database
- Retrieval Augmented Generation (RAG)
How to Get Hired at Elastic
- Research Elastic's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, especially focusing on their distributed company model.
- Tailor your resume: Highlight your experience in AI, search technologies, engineering management, and successful project delivery at scale, customizing for the Senior Engineering Manager, Workplace AI Search role.
- Showcase distributed leadership: Emphasize your ability to lead, mentor, and foster team cohesion effectively in a remote or geographically dispersed environment.
- Prepare for technical depth: Be ready to discuss AI agent architectures, hybrid search, vector databases, RAG, and scaling context-driven intelligence solutions.
- Demonstrate collaboration: Share examples of successful cross-functional collaboration, especially with product leads and support teams, to drive product roadmap execution.
Frequently Asked Questions
Find answers to common questions about this job opportunity
Explore similar opportunities that match your background