Elastic has 28 active AI-related job listings, with a significant focus on roles related to agents, which constitute 86% of their openings. The majority of these positions are within Engineering. The company is hiring across the United States, United Kingdom, and Canada. Recurring technical tags include vector_db, RAG, and model_serving, suggesting a focus on building and deploying AI applications that leverage external knowledge.
Currently tracking 16 active AI roles, up 55% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $192k–$593k (avg $307k).
Elastic currently has 30 active AI-related roles in our index. The most common open titles are: Senior Software Engineer - Search Relevance in ES|QL - Elasticsearch (6), Principal Software Engineer - Vector Search - Elasticsearch (5), Senior Software Engineer - SSC (4), Principal AI Ecosystem Architect - OpenAI/Anthropic (2), Principal Product Manager Agents and Context - Elasticsearch (2). Most positions are in Engineering and Research.
Elastic's active AI hiring is concentrated in: agents (87%), application (10%), serving infrastructure (3%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Elastic is hiring AI talent in: United States (16 roles), United Kingdom (7 roles), Spain (4 roles), Canada (3 roles).
Job postings at Elastic most frequently mention: Observability, Data Governance, Content Generation, Cloud Security, Cloud Infrastructure.
In the past 30 days, Elastic has posted 23 new AI-related roles. That is a +92% change versus the prior 30 days (12 → 23).
| Title | Stage | AI score |
|---|---|---|
| Principal Software Engineer - Agent Builder - Search Principal Software Engineer to own the backend architecture for Elastic's Agent Builder conversational platform, focusing on streaming APIs, secure tool execution, session persistence, and evaluation telemetry. The role involves leading design, building event-driven pipelines, championing reliability, and mentoring engineers, with exposure to LLM tooling and open-source AI communities. | Agent | 7 |
| Customer Architect Customer Architect role focused on driving adoption and success of Elastic's Search AI Platform, which includes Observability, Cybersecurity, and Enterprise Search solutions. The role involves acting as a trusted technical advisor, defining technical success plans, onboarding customers, and ensuring they derive value from Elastic solutions to grow ARR. It is not an AI development or research role, but rather a customer-facing product/solutions role at an AI company. | — |
| 0 |
| Senior Software Engineer - Contextual Security Applications This role focuses on building core capabilities for Elastic's security applications, enhancing detection, response, and security insights. It involves designing and implementing features for SIEM, CDR, compliance, and cloud security, building APIs for correlating security data, and developing scalable systems within the Elastic ecosystem. The role emphasizes ownership, collaboration, and production-grade code development. | — | 0 |