Currently tracking 16 active AI roles, up 55% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $192k–$593k (avg $307k).
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.
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 |
|---|---|---|
| Senior Solution Architect - Sydney based This role is for a Senior Solutions Architect at Elastic, a Search AI Company. The primary focus is on serving as a technical authority and trusted advisor to sales teams, customers, and partners. Responsibilities include understanding customer business issues, articulating how Elastic's offerings address their needs, enabling sales through partners, and acting as the voice of the customer to engineering and leadership teams. The role requires a strong technical presales background and the ability to build value-based relationships. | — | 0 |
| Senior Partner Manager ANZ This role is for a Senior Partner Manager at Elastic, a company focused on Search AI. The primary responsibility is to develop and execute business plans with partners (VARs, SIs, Distributors) to drive go-to-market strategies, increase investment, and bring new capabilities and offerings to market in the ANZ region. The role involves building executive relationships, managing sales plays, developing market opportunities, driving pipeline and revenue growth, shaping partner strategy, recruiting and managing partners, and ensuring effective communication. |
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| 0 |
| Senior Sales Development Representative This role is for a Senior Sales Development Representative at Elastic, a company that provides a Search AI Platform. The role focuses on identifying, nurturing, and creating new sales opportunities by collaborating with sales, marketing, and partner teams. Responsibilities include using prospecting tools, researching accounts, crafting targeted messaging, and communicating the company's value proposition to a technical audience. The role requires a minimum of 2-3 years of sales experience and a genuine interest in technology. | — | 0 |
| Inside Account Executive, Public Sector Inside Account Executive for Elastic, focusing on Public Sector sales. The role involves managing the full sales cycle, from pipeline generation to closing complex deals, and positioning Elastic's Search, Observability, and Security capabilities, including its Search AI platform, to customers. Requires strong sales, negotiation, and technical fluency, particularly in cloud and modern data architectures. | — | 0 |
| Inside Account Executive Inside Account Executive role at Elastic, a Search AI company, focused on accelerating new business acquisition and expansion by partnering with Account Executives to land new logos, grow customers, and drive revenue. The role involves managing the full sales cycle, from pipeline generation to closing, and requires strong skills in discovery, value storytelling, negotiation, and understanding of cloud economics and modern data architectures. Familiarity with observability, security analytics, and open-source is a plus. | — | 0 |