Elastic
Enterprise · Search
- HQ
- Mountain View, US
- Founded
- 2012
- Website
- elastic.co
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 +44% change versus the prior 30 days (16 → 23).
| Title | Stage | AI score |
|---|---|---|
| Senior Value Engineer This role is a Senior Value Engineer in Germany for Elastic, the Search AI Company. The primary focus is on supporting customers in unlocking the full business impact of Elastic's solutions, translating technical capabilities into clear economic benefits, and fostering long-term partnerships. The role involves collaborating with sales teams, engaging with stakeholders to understand business challenges, leading business value reviews, analyzing customer workflows, creating executive documents, and providing guidance on best practices. It also includes training Elastic teammates and contributing to the development of the value engineering practice. The ideal candidate has experience in value engineering, management consulting, or a related customer-facing role, with strong analytical and problem-solving skills. | — | 5 |
| Solutions Architect - PreSales This role is a Solutions Architect (PreSales) for Elastic, the Search AI Company. The primary focus is on understanding customer business issues and articulating how Elastic's offerings (Search, Security, Observability, powered by AI) address their needs. The role involves technical advisory to sales teams, customers, and partners, and acting as the voice of the customer to engineering teams. While the company is AI-focused and its products leverage AI, the Solutions Architect role itself is not directly building or shipping AI models but rather selling and positioning AI-enabled solutions. |
| — |
| 5 |
| Mid-Market Account Executive This role is for a Mid-Market Account Executive at Elastic, a company focused on Search AI. The role involves driving net-new revenue and expansion within Mid-Market Accounts by positioning Elastic's platform (search, observability, security) as a solution to complex data problems. The AE needs technical curiosity and value-based selling skills to act as a trusted advisor, identify new use cases, and manage complex sales cycles. While the company is AI-focused and the role mentions an 'AI Mindset', the core function is sales, not building or researching AI. | — | 5 |
| German Commercial Counsel Commercial Counsel with 4+ years of experience in negotiating and structuring commercial contracts, including Cloud/SaaS, Professional Services, and Data Processing Agreements, with a focus on GDPR compliance. The role supports Sales and Partner organizations in Central Europe and involves reviewing ITT/RFP requirements, advising on terms, and collaborating with legal, finance, and compliance teams. The position also requires staying updated on legal and regulatory developments and improving legal department workflows, including leveraging AI tools. | — | 0 |