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.
Enterprise · Search
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 |
|---|---|---|
| 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 |
| Mid-Market Account Executive - New Logo This role is for a Mid-Market Account Executive at Elastic, a company focused on Search AI. The role involves 100% net-new revenue generation, owning the full sales cycle from outreach to close for new logos in Germany. The AE needs technical curiosity and value-based selling skills to position Elastic's platform (search, observability, security) and solve complex data problems for customers. Key responsibilities include driving adoption, acting as a trusted advisor, understanding cloud economics, identifying new use cases, and managing complex sales cycles using frameworks like MEDDPICC. The role requires a proven track record in SaaS subscription sales, strong value storytelling, executive negotiation skills, and technical/cloud fluency. While the company is an AI company and the role uses AI tools, the core craft is sales, not building AI. | — | 5 |
| Senior Solutions Architect - Security Specialist This role focuses on architecting and demonstrating next-generation security solutions using Elastic's AI-powered platform, specifically within the SIEM and analytics domain. The Senior Solutions Architect will leverage expertise in security technologies, consultative selling, and AI's impact on SIEM to help customers solve complex challenges and improve incident response. | Ship | 5 |
| Customer Architect - EMEA Central Customer Architect role focused on driving adoption and expansion of Elastic's Search AI Platform within the EMEA Central region. This role acts as a Trusted Technical Advisor, collaborating with customers and internal teams to ensure successful technical journeys, define success criteria, and eliminate technical friction to grow Annual Recurring Revenue (ARR). | — | 5 |
| Manager Customer Architecture - EMEA Central Manager for Customer Architects in EMEA Central, leading a team focused on driving adoption and expansion of Elastic's Search AI Platform within enterprise customers. Responsibilities include managing the post-sales customer lifecycle, strategizing with sales, forecasting, and leading strategic initiatives. Requires strong leadership, technical background in Observability, Cybersecurity, and Enterprise Search, and experience in customer success leadership roles. | — | 1 |
| Elastic Consultant - Public Sector This role is for an Elastic Consultant focused on the Public Sector in Germany. The primary responsibilities include customer advocacy, relationship building, strategic roadmap ownership, solution design, development, and integration of Elastic products. It also involves data modeling, query optimization, cluster tuning, and working with engineering and sales teams. The role requires strong hands-on experience with Elasticsearch/Lucene, consulting experience, and German security clearance. | — | 0 |
| 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 |
| Account Executive Public Sector Enterprise Account Executive for Public Sector/Education and Research to drive net-new revenue and expansion within strategic Enterprise accounts. The role involves building pipeline, telling the Elastic Search AI story, and closing complex deals in a consumption-based model. It requires sales execution, technical fluency, and cross-functional collaboration. | — | 0 |
| Regional Services Partner Delivery Manager - Public Sector This role is for a Regional Services Partner Delivery Manager in the Public Sector for Elastic, the Search AI Company. The primary focus is on driving services bookings growth and ensuring successful execution of complex engagements within German public institutions. The role involves commercial ownership, customer engagement, and delivery excellence, aligning services strategies with account plans and customer objectives. | — | 0 |