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 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 |
|---|---|---|
| Principal Security ML Research Engineer Principal Security ML Research Engineer at Elastic, focusing on developing advanced AI/ML solutions for threat detection and response. The role involves designing ML architectures, prototyping AI agent workflows, developing anomaly detection models, creating evaluation frameworks, implementing guardrails, and integrating LLM APIs into production. Emphasis on research, community involvement, and mentoring. | AgentEval Gate | 9 |
| Principal Search Consulting Architect This Principal Search Consulting Architect role focuses on designing and scaling complex Elasticsearch cluster topologies for large enterprise customers, with a strong emphasis on AI-powered semantic search, vector databases, and RAG pipelines. The role involves deep technical expertise in Elasticsearch internals, performance tuning, and cloud-native infrastructure, bridging business strategy with distributed systems engineering. |
| AgentServe |
| 7 |
| Principal Search Consulting Architect Principal Search Architect role focused on designing and scaling complex Elasticsearch clusters for enterprise customers, with a strong emphasis on AI-powered semantic search, vector databases, and RAG pipelines. The role involves deep technical expertise in Elasticsearch internals, distributed systems, and cloud-native infrastructure, collaborating with engineering and product teams to influence the roadmap. | AgentServe | 7 |
| Principal Software Engineer - Security - Elasticsearch Principal Software Engineer for Elasticsearch Security, focusing on architecture and design of authentication, authorization, and tenant isolation. The role involves leading core security initiatives, developing foundational security models, optimizing performance, applying cryptographic solutions, ensuring data isolation, and staying updated on security advancements. It also includes driving vulnerability management, leveraging AI-driven tools for security workflows, and mentoring engineers. Requires deep Java/JVM knowledge, experience with scalable authorization systems, distributed systems security, and edge identity protocols. Experience with AI for development acceleration is a plus. | — | 5 |
| Principal Software Developer - Security - Elasticsearch Principal Software Developer for Elasticsearch Security team, focusing on architecture and design of core security features like authentication, authorization, and tenant isolation. The role involves leading technical design, developing foundational security models, optimizing performance, applying cryptographic solutions, ensuring data isolation, and collaborating across teams. It also emphasizes leveraging AI-driven tools for security workflows and mentoring engineers. | — | 5 |
| Senior Software Developer - Security - Elasticsearch Senior Software Developer for Elasticsearch Security team, focusing on architecture, design, and implementation of security features like authentication, authorization, and tenant isolation. The role involves optimizing security performance in distributed systems, applying cryptographic solutions, and ensuring data isolation. A key aspect is leveraging AI-driven tools to enhance security workflows, vulnerability management, and development processes. | — | 5 |
| Senior Software Engineer - Security - Elasticsearch Senior Software Engineer for Elasticsearch Security team, focusing on architecture and design of core security features like authentication, authorization, and tenant isolation. The role involves developing foundational security models, optimizing performance in distributed systems, applying cryptographic solutions, ensuring data isolation, and staying updated on security best practices. It also includes driving vulnerability management and leveraging AI-driven tools for security workflows. | — | 5 |
| Content Producer This role is for a Content Producer at Elastic, the Search AI Company. The producer will support integrated campaigns by ideating, building, and distributing engaging content. Responsibilities include content planning, leading content production (including with external agencies and AI-powered systems), adapting content for specific audiences, reviewing content from other marketing creators, and using AI tools to streamline production. The role also involves managing the content publishing calendar, monitoring content performance using analytics tools, and providing data-driven recommendations for improvement. While the company is AI-focused and the role uses AI tools, the core craft is content production and demand generation, not building AI models. | — | 5 |
| Solutions Architect Solutions Architect role at Elastic, a Search AI Company. This role serves as a technical authority and trusted advisor to sales teams, customers, partners, and the community. Responsibilities include understanding customer business issues, articulating how Elastic offerings address needs, enabling sales through partners, and acting as the voice of the customer to engineering and leadership. Requires technical presales experience, ability to articulate benefits of modern platforms, and strong customer relations skills. Fluency in French and English is required. | — | 5 |
| Tech Lead, Agent Framework - Observability Tech Lead for Elastic's Agent Framework team, responsible for the architecture and technical direction of the agent layer within the Streams program. The role involves designing scalable systems for observability data collection, providing technical guidance, and leading multi-team initiatives. Experience with distributed systems, observability data, and Go is required. | — | 5 |
| Tech Lead, Agent Framework - Observability Tech Lead for Elastic's Agent Framework team, responsible for the architecture and technical direction of the agent layer within the Streams program. The role involves designing scalable systems for data collection (metrics, logs, traces) and providing technical guidance to the team, with a focus on Go development and distributed systems management. | — | 5 |
| Senior Solutions Architect, Mid Market (Presales) - Canada This role is a Senior Solutions Architect for Elastic, focusing on pre-sales technical support for mid-market clients in Canada. The Solutions Architect will act as a technical authority and trusted advisor, understanding customer business issues and demonstrating how Elastic's Search AI Platform and solutions address their needs. Responsibilities include engaging with sales teams, customers, partners, and the community, developing deep product knowledge, crafting value-based relationships, and providing technical guidance throughout the sales cycle. The role requires strong technical presales experience, excellent communication skills (French and English required), and the ability to influence and inspire. While the company is an "AI Company" and its platform incorporates AI, the role itself is focused on pre-sales and customer engagement rather than direct AI/ML model development or deployment. | — | 5 |
| Product Manager Product Manager for Elastic's Revenue Technology (RevTech) Engineering team, focusing on internal tooling and GenAI-powered workflows to improve Field and Support experiences. The role involves balancing product discovery, execution, and planning, translating business needs into requirements, and defining success metrics for AI-powered features. | — | 5 |
| Enterprise Account Executive - Vancouver, Canada Enterprise Account Executive for Elastic, the Search AI Company, focusing on driving net-new revenue and expansion within strategic Enterprise accounts. Responsibilities include building pipeline, telling the Elastic Search AI story, closing complex deals, and collaborating with internal teams. Requires proven SaaS quota-carrying success, strong negotiation skills, and technical/cloud fluency. | — | 5 |
| Commercial Account Executive - Toronto, Canada This role is for a Commercial Account Executive at Elastic, the Search AI Company. The primary responsibility is to drive net-new revenue and expansion within strategic commercial accounts by building pipeline, telling the Elastic Search AI story, and closing complex deals. The role requires strong sales execution, technical fluency, and cross-functional collaboration, focusing on positioning Elastic's Search, Observability, and Security capabilities to customers. | — | 5 |
| Senior Solutions Architect, Mid Market (Presales) - Canada This role is a Senior Solutions Architect for Elastic, focusing on pre-sales technical support for mid-market clients in Canada. The Solutions Architect will act as a technical authority and trusted advisor, understanding customer business issues and demonstrating how Elastic's Search AI Platform and solutions address their needs. Responsibilities include engaging with sales teams, customers, partners, and the community, developing deep product knowledge, crafting value-based relationships, and providing technical guidance throughout the sales cycle. The role requires strong technical presales experience, excellent communication skills (French and English required), and the ability to influence and inspire. While the company is an "AI Company" and its platform incorporates AI, the role itself is focused on pre-sales and customer engagement rather than direct AI/ML model development or deployment. | — | 5 |
| Senior Product Marketing Manager - Portfolio Senior Product Marketing Manager to own Elastic's portfolio-level story across search, observability, and security, driving cross-portfolio initiatives and ensuring strategies are brought to market. Requires a blend of strategic depth and creative execution, with experience in building positioning and messaging at scale, and engaging with executive leadership. Deep fluency in data, search, AI, and enterprise technology is essential. | — | 5 |
| Senior Analytics Developer - Platform Analytics Senior Analytics Engineer to join Platform Analytics team, focusing on designing and evolving core analytical data models using BigQuery and dbt. The role involves refactoring existing models, partnering with solution teams, defining and enforcing modeling standards, and centralizing business logic. The role will also explore and apply AI-assisted approaches to improve analytics workflows. | — | 5 |
| Technical Product Manager Technical Product Manager to lead product-level outcomes and implement the Revenue Technology Engineering roadmap, supporting internal Field Employees through internal tooling, GenAI powered workflows, and support experiences. | — | 5 |
| Tech Lead, Agent Framework - Observability Tech Lead for Elastic's Agent Framework team, responsible for the architecture and technical direction of the agent layer supporting the Streams model. Focuses on designing scalable systems, providing technical guidance, and collaborating with stakeholders and product management. Requires proven experience as a technical lead on agent/daemon projects at scale and deep knowledge of observability data collection. | — | 1 |
| Principal software developer/Tech Lead, Agent Framework - Observability Principal Software Developer/Tech Lead for Elastic's Agent Framework team, focusing on the architecture, technical direction, and evolution of the agent layer for data collection in observability and search AI platforms. The role involves designing scalable systems, providing technical guidance, collaborating with product management, and leading large technical initiatives. | — | 0 |
| Channel and Alliances Manager - Canada This role is for a Channel and Alliances Manager focused on Canada, responsible for owning the channel motion, building partner-sourced pipeline, accelerating deal velocity, and driving joint business planning with partners. The role involves partner activation, enablement, deal execution, and reporting on channel metrics. While the company is an "Elastic Search AI Company" and its platform uses AI, this specific role is in channel management and sales, not directly building or shipping AI models or systems. | — | 0 |
| Tech Lead, Agent Framework - Observability Tech lead for Elastic's Agent Framework team, focusing on the architecture and technical direction of the agent layer for data collection in the Streams program. The role involves designing scalable architectures, providing technical guidance, collaborating with product management, and leading technical initiatives from design to shipped software. Experience with observability data (metrics, logs, traces) and Go programming is required. | — | 0 |
| Sr. Manager, ABM (Team Lead) This role is for a Sr. Manager, ABM (Team Lead) at Elastic, the Search AI Company. The primary focus is on building and elevating the account-based marketing practice, defining ABM vision and playbooks, leading and mentoring a team of ABM managers, and driving measurable results in account engagement, pipeline influence, and revenue contribution. While the company is AI-focused and the role requires experience marketing AI/ML technologies, the core responsibilities are in marketing strategy, leadership, and execution, not in building or researching AI models. | — | 0 |
| Senior Program Manager, Revenue Operations Senior Program Manager, Revenue Operations at Elastic, a Search AI Company. This role focuses on designing and driving operational standards, execution models, and planning rhythms for Field Engineering and Support organizations to ensure high-quality Go-To-Market execution at scale. Responsibilities include annual planning, operational rhythm standardization, defining operating models for QBRs and planning cycles, and collaborating with various internal teams to build comprehensive solutions. The role requires experience in Program Management, Revenue Operations, or GTM Strategy & Operations in a B2B SaaS organization, strong systems-level thinking, and data analysis skills. | — | 0 |
| Lifecycle Marketing Manager - Self Service Cloud This role focuses on growing product-led email programs to drive user acquisition, activation, adoption, and expansion. The manager will translate product signals and user behavior into email experiences, using data to improve conversion and engagement. Responsibilities include end-to-end email program execution, A/B testing, scaling programs globally, writing email copy for technical audiences, managing content workflows, and building automated nurture programs in Marketo. The role requires strong experience in lifecycle marketing and Marketo, with a demonstrated ability to drive measurable outcomes in a product-led growth environment. | — | 0 |
| Lifecycle Marketing Manager - Self Service Cloud This role focuses on owning and growing product-led email programs to drive user acquisition, activation, adoption, and expansion. It involves strategy, content, and automation execution, working with various teams to optimize user journeys and conversion through A/B testing and data analysis. The goal is to improve trial-to-paid conversion rates and feature adoption. | — | 0 |
| Lifecycle Marketing Manager - Self Service Cloud This role focuses on owning and growing product-led email programs to drive user acquisition, activation, adoption, and expansion. It involves translating product signals and user behavior into email experiences, using data to improve conversion and engagement, and executing strategy, content, and automation. The role requires close collaboration with Product, Product Marketing, Marketing Operations, and Analytics teams. | — | 0 |
| Senior SRE - Platform (Managed Kubernetes Infrastructure) This role is for a Senior Site Reliability Engineer focused on building, scaling, and maturing the multi-cloud platform for hosting internal and external services, specifically managing Kubernetes infrastructure at scale. The role involves automating system engineering efforts, developing software and tooling for infrastructure, and ensuring the reliability of global infrastructure. | — | 0 |
| Sr. Manager, ABM (Team Lead) This role is for a Sr. Manager, ABM (Team Lead) at Elastic, the Search AI Company. The position is a player-coach role responsible for building and elevating the company's account-based marketing practice. Key responsibilities include defining ABM vision and playbooks, establishing governance, managing the ABM tech stack, leading and developing a team of ABM managers, evangelizing ABM principles across GTM, and driving team results in account engagement, pipeline influence, and revenue contribution. The role requires 8+ years in B2B marketing in enterprise software, with a strong track record in building ABM frameworks and expertise in ABM platforms and martech. Experience marketing sophisticated enterprise technology like AI/ML, observability, or search is also required. The compensation range is $98,200—$148,200 CAD. | — | 0 |
| Senior SRE - Platform (Managed Kubernetes Infrastructure) This role is for a Senior Site Reliability Engineer focused on building, scaling, and maturing the multi-cloud platform for hosting internal and external services, specifically managing Kubernetes infrastructure at scale. The role involves automating system engineering efforts, developing software and tooling for infrastructure, and ensuring the reliability of global infrastructure. | — | 0 |
| Senior Account Executive | Canada Ministry of National Defence This role is for a Senior Account Executive focused on the Canadian Ministry of National Defence and Canadian Armed Forces. The primary responsibility is to drive sales of Elastic's search, observability, and security solutions, which are AI-powered. While the company and its products are AI-related, the role itself is sales-focused and does not involve building or researching AI models. | — | 0 |
| Partner Marketing Programs Specialist This role is for a Partner Marketing Program Specialist at Elastic, a company that positions itself as a 'Search AI Company'. The role focuses on executing co-marketing programs with partners, managing campaigns, and ensuring consistent global delivery of marketing initiatives. While the company leverages AI, this specific role is in marketing program execution and does not involve building or directly working with AI/ML models. | — | 0 |