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 +44% change versus the prior 30 days (16 → 23).
| Title | Stage | AI score |
|---|---|---|
| VP, Threat Research - Security Intelligence This role leads the threat research agenda for Elastic Security, focusing on AI-driven security capabilities, detection engineering, and publishing research. It involves setting strategy, defining quality bars, and acting as the external voice for the organization, with a strong emphasis on the intersection of AI and cybersecurity. | Ship | 7 |
| VP, Threat Research - Security Intelligence This role leads the threat research agenda for Elastic Security, focusing on AI-driven security capabilities, detection engineering, and publishing research. It involves setting the quality bar for detections, deciding investment areas like malware and AI security, and acting as the external face of the organization. The role requires deep technical credibility in threat research, detection engineering, endpoint security, or security ML, with a focus on setting direction through expertise and influence. |
| Ship |
| 7 |