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).
Enterprise · Search
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 |
|---|---|---|
| Procurement Operations Manager This role focuses on managing and improving procurement operations, systems, and analytics. While the company is an "AI Company" and the role mentions AI agents and AI-driven tools, the core responsibilities are in procurement operations, process improvement, and system implementation, not directly building or researching AI models. The AI aspects mentioned are tools to be governed or utilized within the procurement function. | — | 5 |
| Sr Analyst, FP&A Senior FP&A Analyst role supporting financial planning, reporting, and analysis for a global finance function, with a focus on leveraging AI tools to enhance finance processes and drive automation. | — | 5 |
| Senior Solution Architect, Mumbai This role is a Senior Solutions Architect for Elastic, a company focused on Search AI. The role involves being a technical authority and trusted advisor to sales teams, customers, and partners, understanding customer business issues, and articulating how Elastic's offerings address their needs. Responsibilities include technical presales, developing customer relationships, advising sales teams, enabling partners, and communicating customer needs to engineering. The role requires a strong technical presales track record, ability to articulate benefits of modern platforms, and customer relationship skills. |
| — |
| 5 |
| Marketplace Sales Specialist This role is a sales specialist focused on accelerating Elastic's cloud marketplace business by driving co-sell activities with global cloud partners. The role requires technical curiosity and value-based sales skills to solve complex data problems using Elastic's search, observability, and security platform. | — | 1 |
| Help Desk Operations Manager, Partner Revenue Strategy & Operations This role is for a Help Desk Operations Manager within Elastic's Partner Revenue Strategy & Operations team. The primary responsibilities include leading the Partner Help Desk team, managing deal registrations, partner agreements, license requests, and resolving operational issues. The role also involves analyzing workflows, developing documentation, conducting training, and managing escalated support cases. It requires experience in help desk/support, partner operations, management, process improvement, and CRM systems. | — | 0 |
| Revenue Analyst This role is for a Revenue Analyst at Elastic, a company focused on Search AI. The analyst will be responsible for revenue recognition, financial systems integration, and automation initiatives to support the company's growth. The role requires experience in revenue accounting, particularly with ASC 606, and familiarity with financial software like RevPro, NetSuite, and Salesforce. While the company is in the AI space, this specific role is not directly involved in building or researching AI/ML models. | — | 0 |
| Revenue Manager The Revenue Manager will be responsible for revenue contract review, supporting cross-functional partners, drafting revenue memos, contributing to the revenue close process with a focus on cloud revenue accounting, leading UAT testing, performing revenue reconciliations and analysis, coordinating auditing requests, developing internal training, and completing ad hoc projects. The role requires 8+ years of experience in revenue with an understanding of ASC 606, including software and SaaS related principles. Experience with RevPro, NetSuite, Salesforce, Google Workspace (BigQuery, Gemini, Gmail, Google-Sheets, Google-Docs, NoteBookLM), Sigma, and Claude is preferred. Strong communication, project management, analytical, and problem-solving skills are essential. | — | 0 |
| Cloud Billing Associate This role is a Cloud Billing Operations Associate responsible for supporting the cloud billing process, invoicing, suspension, termination, bad debt, and credit card processing. It involves managing support cases, performing reconciliations, resolving customer disputes, and collaborating with customer support and engineering teams. The role requires strong attention to detail, problem-solving skills, and experience in billing operations or financial operations. | — | 0 |
| Enterprise Account Executive (FSI) - Mumbai Enterprise Account Executive for Elastic, a Search AI Company, focusing on expanding customer accounts and driving adoption of Elastic's cloud solutions for search, security, and observability. The role involves building new business, identifying use cases, and closing complex SaaS subscription deals within large enterprise accounts, particularly in the Financial Services and Insurance (FSI) sector. | — | 0 |