Senior Engineering Manager - Workplace AI - Search

About 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.

The Role: Senior Engineering Manager - Workplace AI - Search

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 “All Hands” discussions, and onboarding, coaching, and mentoring teammates.
• 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 expertise in flexible people management, rapid growth, servant leadership, and performance management.
• Experience with remote management, understanding 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, capable of crafting concise and expressive thoughts into correspondence, issues, investigations, documentation, and onboarding materials.
• A curiosity about learning new tools, workflows and philosophies that can help you grow, thriving in an environment that drives towards change. This role offers tremendous opportunities for growth!

Additional Information - We Take Care of Our People

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

• 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
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with a minimum of 16 weeks of parental leave

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.

Compensation Details

Compensation for this role is in the form of base salary, with no variable compensation component. In addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

The typical starting salary range for 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. An employee's position within the salary range will be based on several factors including relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Key skills/competency

• AI Agent Development
• Hybrid Search
• Personalization
• Context-Driven Intelligence
• Team Leadership
• Remote Management
• Servant Leadership
• Elasticsearch
• Vector Databases
• Retrieval-Augmented Generation (RAG)