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.
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).
Currently tracking 16 active AI roles, up 55% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $192k–$593k (avg $307k).
| Title | Stage | AI score |
|---|---|---|
| Principal Product Manager Agents and Context - Elasticsearch Principal Product Manager for Elastic's Agent Builder, focusing on context engineering for AI agents. The role involves defining strategy, roadmap, and execution for capabilities that make AI agents faster, cheaper, and more accurate. It requires deep understanding of the AI/ML landscape, including LLMs, RAG, and vector databases, and involves working closely with customers, sales, engineering, and data science teams. | Agent | 7 |
| Principal Software Engineer - Vector Search - Elasticsearch Principal Software Engineer to enhance vector similarity search functionality within Elasticsearch, focusing on design, implementation, and bug resolution for a leading vector database offering. | AgentServe |
| 7 |
| Principal Software Engineer - Vector Search - Elasticsearch Principal Software Engineer to enhance vector similarity search functionality within Elasticsearch, focusing on building new features, improving existing ones, and resolving bugs for an industry-leading vector database offering. The role involves deep technical contributions to Lucene and Elasticsearch, potentially inventing new algorithms or data structures, and collaborating with a global team and the open-source community. | AgentServe | 7 |
| Principal Software Engineer - Vector Search - Elasticsearch Principal Software Engineer role focused on enhancing vector similarity search functionality within Elasticsearch, aiming to create an industry-leading vector database offering. This involves designing and implementing new features, improving existing ones, and resolving bugs, with a strong emphasis on performance and relevance. | AgentServe | 7 |
| Principal Software Engineer - Vector Search - Elasticsearch Principal Software Engineer to enhance vector similarity search functionality within Elasticsearch, focusing on design, implementation, and bug resolution for a leading vector database offering. | AgentServe | 7 |
| Principal Product Manager Agents and Context - Elasticsearch Principal Product Manager for Elastic Agent Builder, focusing on defining the vision, strategy, and execution for context engineering capabilities that enable enterprises to build, manage, and scale AI agents. The role involves understanding customer requirements, market trends, and working with data science and engineering teams to benchmark and evaluate agent capabilities, with a strong emphasis on RAG architectures and vector databases. | Agent | 7 |
| Senior Software Engineer - Storage Engine - Elasticsearch Senior Software Engineer to join the Elasticsearch - Storage Engine team. This role is responsible for designing, implementing, and optimizing Elasticsearch's core storage and query engine, with a strong focus on storage, indexing, query execution, and performance optimization. The ideal candidate has experience building high-performance, scalable database, search, or distributed systems. | — | 5 |
| Senior Software Engineer - Storage Engine - Elasticsearch Senior Software Engineer to join the Elasticsearch - Storage Engine team. This role is responsible for designing, implementing, and optimizing Elasticsearch's core storage and query engine, with a strong focus on storage, indexing, query execution, and performance optimization. Experience building high-performance, scalable database, search, or distributed systems is ideal. The role involves leading architectural evolution, driving cross-organizational initiatives for observability solutions, and working with a globally distributed team. Requires strong core Java skills and experience with data storage technologies. | — | 5 |
| Senior Software Engineer - Storage Engine - Elasticsearch Senior Software Engineer to join the Elasticsearch - Storage Engine team, focusing on core storage and query technologies for observability workloads. Responsibilities include designing, implementing, and optimizing Elasticsearch's storage and query engine, improving storage efficiency, advancing ES|QL query processing, and optimizing data layouts. Requires strong Java skills and experience with high-performance, scalable database/search/distributed systems. | — | 5 |
| Senior Software Engineer - Storage Engine - Elasticsearch Senior Software Engineer to join the Elasticsearch - Storage Engine team. This role is responsible for designing, implementing, and optimizing Elasticsearch's core storage and query engine, focusing on storage efficiency, query processing, and data layouts for observability workloads. Requires experience building high-performance, scalable database, search, or distributed systems, with a strong focus on storage, indexing, query execution, and performance optimization. Must have strong core Java skills and experience with data storage technologies. | — | 5 |
| Senior Software Engineer - Storage Engine - Elasticsearch Senior Software Engineer for Elasticsearch's Storage Engine team, focusing on core storage and query technologies for observability workloads. Responsibilities include architectural evolution, performance optimization, and developing high-performance, scalable database/search/distributed systems. The role emphasizes Java development, distributed systems, and leveraging AI tools for development acceleration and debugging. | — | 5 |
| Senior Software Engineer - Storage Engine - Elasticsearch Senior Software Engineer to join the Elasticsearch - Storage Engine team. This role is responsible for designing, implementing, and optimizing Elasticsearch's core storage and query engine, focusing on storage efficiency, query processing, and data layouts. The ideal candidate has experience building high-performance, scalable database, search, or distributed systems. | — | 5 |
| Senior Software Developer - Storage Engine - Elasticsearch Senior Software Engineer to join the Elasticsearch - Storage Engine team. This role is responsible for designing, implementing, and optimizing Elasticsearch's core storage and query engine, focusing on storage efficiency, query processing, and data layouts. The ideal candidate has experience building high-performance, scalable database, search, or distributed systems. | — | 5 |
| Senior Software Engineer - Storage Engine - Elasticsearch Senior Software Engineer to join the Elasticsearch - Storage Engine team, responsible for designing, implementing, and optimizing Elasticsearch's core storage and query engine. Focus on high-performance, scalable database, search, or distributed systems, with a strong emphasis on storage, indexing, query execution, and performance optimization for observability workloads. Requires strong Java skills and experience with data storage technologies. | — | 5 |
| Senior Java Engineer - Core/Infra - Elasticsearch Senior Software Engineer to join the Elasticsearch team, focusing on core infrastructure, shared platform functionalities, and enabling developers. The role involves contributing to large projects, designing scalable features, solving complex issues, and improving observability. While the company is an AI company and the role mentions integrating agentic apps and using AI to accelerate development, the core craft of this role is building and maintaining the foundational infrastructure of Elasticsearch, not directly shipping AI models or agents as the primary deliverable. The role touches on AI tools for development acceleration but doesn't build AI models themselves. | — | 5 |
| Enterprise Account Executive Enterprise Account Executive for Elastic, the Search AI Company, focusing on driving net-new revenue and expansion within Enterprise Accounts. The role requires technical curiosity and value-based selling skills to position Elastic's AI-powered search, observability, and security platform. | — | 5 |
| Public Sector Account Executive (NHS) Sales role focused on selling Elastic's AI-powered search, observability, and security platform to the NHS. Requires technical curiosity and value-based selling skills to drive adoption and solve complex data problems. | — | 5 |
| Senior Solution Architect This role is for a Senior Solutions Architect at Elastic, a company focused on Search AI. The architect will act as a technical advisor to sales teams, customers, and partners, helping them understand and solve business problems using Elastic's platform. Responsibilities include understanding customer needs, demonstrating product value, enabling partners, and providing customer feedback to engineering teams. The role requires a strong technical presales background, experience in enterprise search, observability, or cybersecurity, and excellent communication and influencing skills. | — | 5 |
| Principal Software Engineer - Vector Search - Elasticsearch Principal Software Engineer to enhance vector similarity search functionality within Elasticsearch, focusing on design, implementation, and bug resolution for a leading vector database offering. | AgentServe | 5 |
| Senior Mid Market Account Executive This role is for a Senior Mid Market Account Executive at Elastic, the Search AI Company. The primary focus is on net-new revenue generation by owning the full sales cycle for acquiring new logos in an assigned territory. The role requires a blend of technical curiosity and value-based selling to position Elastic's AI-powered search, observability, and security solutions, helping customers solve complex data problems and drive growth. | — | 5 |
| Public Sector Account Executive (Education) Sales role focused on selling Elastic's AI-powered search, observability, and security platform to the education sector in the UK. The role requires technical curiosity, value-based selling, and managing complex sales cycles. | — | 2 |
| Elastic Consulting Architect - Public Sector This role is for an Elastic Consulting Architect focused on the Public Sector in the UK. The primary responsibilities involve customer advocacy, relationship building, strategic roadmap ownership, and solution design using Elastic products. While the company mentions AI and its platform, the core of this role is consulting, solution architecture, and delivery of Elastic's search, security, and observability solutions, not direct AI/ML model development or research. The role requires strong technical skills in Elasticsearch, distributed systems, and data modeling, with a focus on mission-critical environments. | — | 0 |
| Regional Vice President Regional Vice President to manage the UKI Mid-Market Sector, focusing on new logo acquisition, sales strategy, and team leadership. The role involves building and executing sales strategies, fostering a high-performance culture, and driving quota attainment within the Elastic Search AI Platform ecosystem. | — | 0 |
| AWS Alliance Director — EMEA This role is for an AWS Alliance Director in EMEA. The primary focus is to drive the go-to-market strategy and revenue growth for Elastic's partnership with AWS, leveraging Elastic's Search AI Platform and its role in enterprise AI solutions on AWS. The role involves strategic leadership, marketplace growth, co-sell activation, and executive alignment within the AWS ecosystem across EMEA. | — | 0 |
| Analyst, Sales Strategy & Operations - Public Sector This role is for an entry-level Sales Strategy & Operations Analyst focused on the UK Public Sector. The primary responsibilities include driving sales strategy, planning, reporting, and analysis, with a focus on pipeline dynamics, conversion rates, and forecasting. The role will also support Sales Development, Sales Engineering, and overlay sales teams, and implement early warning systems for business growth. A key aspect is supporting the operationalization of AI-driven go-to-market strategies. | — | 0 |
| Senior Java Developer - Core/Infra - Elasticsearch Senior Software Developer to join the Elasticsearch team, focusing on ensuring the core infrastructure and shared platform functionalities of Elasticsearch are easy to use, performant, maintainable, and secure. The role involves contributing to large projects, designing and implementing scalable features, solving complex issues, and improving observability. The developer will also integrate agentic apps into development workflows and own operational investigations. | — | 0 |
| UK Commercial Counsel Public Sector This role is for a UK Commercial Counsel with 4+ years of experience to manage the full legal lifecycle of Public Sector contracts, including Cloud/SaaS and Software Subscription agreements. The role involves supporting sales and RFP teams, advising on regulatory and compliance obligations, and collaborating with various internal departments. While the company is an AI company and mentions leaning into AI tools, the core function of this role is legal counsel for contracts, not AI development or research. | — | 0 |
| Senior Go To Market Recruiter This role is for a Senior Go To Market Recruiter at Elastic, a company that provides a Search AI Platform. The recruiter will be responsible for the full hiring process for various roles within Field Operations, including Sales Development Reps, Customer Support, and Account Executives. The role requires 3+ years of recruiting experience, strong relationship-building skills, and the ability to manage multiple requisitions in a fast-paced environment. | — | 0 |
| Sales Sector Lead - Public Sector This role is a Sales Sector Lead for the Public Sector in the UK, focusing on growing Elastic's Justice & Public Safety business. The individual will build executive relationships, drive strategic growth, and help customers adopt AI responsibly, alongside Elastic's Search, Security, and Observability solutions. It's a player-coach role with a pathway to broader leadership. | — | 0 |
| Deal Desk Analyst (EMEA) This role is a Deal Desk Analyst for Elastic, a company that provides a Search AI Platform. The role focuses on providing strategic, cross-functional assistance to sales contracting, financial compliance, and process improvements. It involves partnering with Sales and Finance, enforcing approvals for non-standard deals, advising on pricing and terms, and managing financial and revenue risk. The role also supports quote-to-cash processes, identifies process gaps, and contributes to the long-term strategy of the Deal Desk team. | — | 0 |
| Public Sector Account Executive (Central Government) This role is for a Public Sector Account Executive in the UK for Elastic, a company focused on Search AI. The role involves generating pipeline, building relationships with government organizations, and positioning Elastic's Search AI, Observability, and Security capabilities to help them improve digital services, strengthen security, and unlock data value. It requires experience selling into the UK Public Sector and a hunter mentality. | — | 0 |