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 +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 |
| Agentic AI Engineer Engineer to build autonomous, enterprise-grounded agents that complete complex business tasks using the Elastic Stack, RAG, and LLM integration. | Agent |
| 9 |
| Principal AI Ecosystem Architect - OpenAI/Anthropic This role focuses on building technical integrations and driving co-build strategies with major AI providers like OpenAI and Anthropic. The individual will act as a technical liaison, influence product roadmaps, and create reference architectures and prototypes to position Elasticsearch as a retrieval layer for agentic AI systems. The goal is to help customers leverage frontier AI with their unstructured data. | Agent | 8 |
| Principal AI Ecosystem Architect - OpenAI/Anthropic This role focuses on building technical integrations and driving strategy with major AI providers (OpenAI, Anthropic) to position Elastic's search and data platform as a retrieval layer for AI agents. The individual will own technical relationships, build prototypes, influence product roadmaps, and create go-to-market content. | Agent | 8 |
| VP, Threat Research - Security Intelligence This role leads the threat research agenda for Elastic Security, focusing on AI-driven security capabilities, detection engineering, and publishing research. It involves setting strategy, defining quality bars, and acting as the external voice for the organization, with a strong emphasis on the intersection of AI and cybersecurity. | Ship | 7 |
| VP, Threat Research - Security Intelligence This role leads the threat research agenda for Elastic Security, focusing on AI-driven security capabilities, detection engineering, and publishing research. It involves setting the quality bar for detections, deciding investment areas like malware and AI security, and acting as the external face of the organization. The role requires deep technical credibility in threat research, detection engineering, endpoint security, or security ML, with a focus on setting direction through expertise and influence. | Ship | 7 |
| Sr. Director, Field Technology and AI Sr. Director, Field Technology and AI to lead the GTM Technology organization, focusing on accelerating and applying AI across Elastic's Go-to-Market motion. This role involves owning the strategy, roadmap, and execution for Engineering, Data Science, Customer Data Strategy, and Application Administration teams to drive AI-driven GTM transformation. Responsibilities include setting the AI vision for GTM, leading multi-disciplinary teams, driving AI adoption, measuring impact, and operationalizing applied AI use cases like agentic workflows and seller copilots. | Agent | 7 |
| Principal Partner Value Engineer This role focuses on driving the economic blueprint of Elastic's strategic ecosystem by articulating and maximizing Elastic's value proposition to partners and co-creating partners' unified value proposition to the market. It involves value-based selling, business case development, and framework creation within the context of Elastic's Search AI Platform. | — | 5 |
| Strategic Account Executive - West This role is for a Strategic Account Executive focused on partnering with AI-native companies to help them build, scale, and innovate using the Elastic Search AI Platform. The role involves owning a select portfolio of strategic customers, developing executive relationships, driving complex sales cycles, and influencing product strategy through customer insights. Success is measured beyond revenue, emphasizing trusted advisory and long-term partnerships within the AI ecosystem. | — | 5 |
| Strategic Account Executive - West This role is for a Strategic Account Executive focused on partnering with AI-native companies to help them scale and innovate using the Elastic Search AI Platform. The role involves owning strategic customer relationships, driving complex enterprise sales cycles, developing account strategies, collaborating across the AI ecosystem, influencing product strategy, and delivering predictable business results. The ideal candidate has a strong understanding of the AI landscape, executive presence, strategic thinking, and cross-functional leadership. | — | 5 |
| RVP - AI Natives This executive role leads a specialized business unit focused on selling Elastic's AI platform to AI-native companies and building co-selling partnerships with them. The role requires strong enterprise software sales leadership, deep understanding of the AI tech stack, and experience in ecosystem partnerships. | — | 5 |
| Sr. Director, Demand and Digital Marketing This role is for a Senior Director of Demand and Digital Marketing at Elastic, a Search AI Company. The primary focus is to redefine customer engagement, demand creation, and revenue growth by modernizing the marketing operating model and building an AI-enabled organization. The role involves leading global digital strategy, integrated campaigns, and customer marketing, with a strong emphasis on using AI and predictive analytics to maximize pipeline and improve marketing efficiency. The position requires extensive experience in B2B SaaS marketing, leadership of global teams, and a proven track record of driving GTM strategy and revenue growth. | — | 5 |
| Sr. Manager, Renewal Revenue Strategy & Operations This role is a Sr. Manager of Renewal Revenue Strategy & Operations at Elastic, a Search AI Company. The primary focus is on optimizing global renewal processes, aligning cross-functional teams (Sales, Finance, Field Engineering, Marketing), and leveraging AI for data and workflow solutions to improve renewal rates and scale operations. The role involves strategic planning, policy design, system enhancement, and advising senior leadership. While the company is AI-focused and the role uses AI tools, the core craft is not building AI models but rather applying AI insights to business operations. | — | 5 |
| Principal Threat Hunting and Emulation Engineer - InfoSec This Principal Threat Hunting and Emulation Engineer role at Elastic focuses on proactively defending the company's products and services by leading structured, hypothesis-driven threat hunts and adversary emulation exercises. The role involves partnering with various security teams, leveraging AI/ML for analysis, and translating findings into durable detections and hardened defenses. The engineer will also contribute to the security community through knowledge sharing. | Agent | 5 |
| Sr. Customer Architect This role is for a Senior Customer Architect at Elastic, a Search AI Company. The primary focus is on driving customer adoption and consumption of Elastic solutions (Observability, Cybersecurity, Enterprise Search) to grow Annual Recurring Revenue (ARR). The role involves acting as a Trusted Technical Advisor, defining Technical Success Plans, and collaborating with account and service teams to ensure customer satisfaction and expansion within the Elastic portfolio. While the company is an AI company, this role is customer-facing and focused on the application of existing solutions rather than building new AI models or systems. | — | 5 |
| Principal Consulting Architect, Security Principal Consulting Architect for Elastic's Security solutions, focusing on developing and managing services offerings, supporting sales and delivery, and integrating with product/engineering teams. The role involves driving strategic direction and operational excellence for Elastic Security, with a focus on customer needs and market demand. While not directly building AI models, the role is within an AI-focused company and requires understanding AI system architecture for security applications. | — | 5 |
| Principal Software Engineer - Relevance in ES|QL - Elasticsearch Principal Software Engineer role at Elastic focused on search relevance and vector search capabilities within Elasticsearch. The role involves leading initiatives, building new search features, and improving search performance. While AI is mentioned as a tool for development acceleration, the core function is enhancing the search engine. | — | 5 |
| Principal Software Engineer - Relevance in ES|QL - Elasticsearch Principal Software Engineer role at Elastic focused on enhancing the Elasticsearch search engine, particularly its relevance and vector search capabilities. The role involves leading initiatives, designing and implementing new search features, and working with a globally distributed team. Requires strong Java skills and experience with search and vector databases at scale. | — | 5 |
| Principal Software Engineer - Relevance in ES|QL - Elasticsearch Principal Software Engineer role focused on Relevance in Elasticsearch, involving search engine development, vector search capabilities, and AI integration for accelerating development and optimizing code. The role requires expertise in Java, search algorithms, and experience with AI for development tasks. | AgentServe | 5 |
| Principal Software Engineer - Relevance in ES|QL - Elasticsearch Principal Software Engineer focused on Relevance within Elasticsearch, contributing to search engine capabilities, including vector search, and potentially inventing new algorithms or data structures. The role involves leading initiatives, working with a distributed team, and collaborating on open-source projects. | AgentServe | 5 |
| Senior Information Security Engineer - Security Architecture - InfoSec This role focuses on building and maintaining the ingestion pipelines for security telemetry into Elasticsearch, ensuring the health and performance of Elastic clusters. It involves integrating with various APIs, managing cloud infrastructure with Terraform and Kubernetes, and utilizing AI automation to reduce operational toil and improve workflows. | — | 5 |
| Partner Solutions Architect This role focuses on multiplying Elastic's technical reach through partners by building their technical capability to source pipeline, win deals, and deliver Elastic solutions. The role involves driving partner-sourced pipeline, architecting technical relationships and engagement plans with partners, and co-innovating on repeatable solutions. While the company is "The Search AI Company" and the role touches on AI agents & Search, the core function is partner enablement and sales alignment, not direct AI/ML model development or deployment. | — | 5 |
| Senior Product Manager, Control Plane - Platform Product Manager for Elastic's Control Plane team, focusing on backend and orchestration products for Elastic Cloud. The role involves defining vision and roadmap, collaborating with engineering, sales, and marketing, and gathering market/customer feedback to manage a product portfolio that offers delightful experiences at any scale. The company emphasizes using AI to accelerate work while owning outcomes. | — | 5 |
| Senior Product Manager, Control Plane - Platform Product Manager for Elastic's Control Plane team, focusing on backend and orchestration products for Elastic Cloud. The role involves defining product vision and roadmap, collaborating with engineering, sales, and marketing, and gathering market/customer feedback to maintain Elastic's market position in Search AI. | — | 5 |
| Senior Software Engineer - Search Relevance in ES|QL - Elasticsearch Senior Software Engineer focused on search relevance and vector search capabilities within Elasticsearch. The role involves contributing to the core search engine, developing new features, and leveraging AI to enhance development processes. | Agent | 5 |
| Senior Software Engineer - Search Relevance in ES|QL - Elasticsearch Senior Software Engineer role focused on search relevance within Elasticsearch, involving contributions to core search engine features, vector search capabilities, and leveraging AI for development acceleration. The role requires expertise in Java, search/vector databases, and autonomous project leadership. | AgentServe | 5 |
| Senior Software Engineer - Search Relevance in ES|QL - Elasticsearch Senior Software Engineer for Elastic's Search Relevance team, focusing on improving search engine speed and relevance, including vector search capabilities. The role involves leading initiatives, contributing to Elasticsearch core, and working with community members. Requires strong Java skills and experience with search or vector databases. | AgentServe | 5 |
| Senior Software Engineer - Search Relevance in ES|QL - Elasticsearch Senior Software Engineer role focused on Search Relevance within Elasticsearch, contributing to the core search engine, vector search capabilities, and leveraging AI for development acceleration. The role involves leading initiatives, designing and implementing new search features, and working with a globally distributed team. | AgentServe | 5 |
| Senior Software Engineer - Search Relevance in ES|QL - Elasticsearch Senior Software Engineer focused on search relevance and vector search capabilities within Elasticsearch. The role involves contributing to the core search engine, developing new features, and improving performance, with an emphasis on AI to accelerate development. | ServeAgent | 5 |
| Senior Software Engineer - Search Relevance in ES|QL - Elasticsearch Senior Software Engineer focused on Search Relevance within Elasticsearch, contributing to the AI Platform's search capabilities, including vector search, and driving technical direction for search features and enhancements. | AgentServe | 5 |
| Director, Solutions Architecture (Technical Sales) Director of Solution Architecture (Technical Sales) for Elastic, the Search AI Company. This role focuses on leading the Enterprise Solution Architects, driving revenue targets, and ensuring customer success by promoting and influencing strategic product direction and delivering technical presales solutions. The role involves cross-functional collaboration with sales, customer success, product management, and engineering. | — | 5 |
| Search Sales Specialist Leader This role is for a Sales Specialist Leader focused on Elastic's AI Driven Search business, leading and scaling a team of Account Executives to sell enterprise Search, vector search, and generative AI infrastructure solutions. The role involves driving Go-To-Market strategy, hitting sales targets, engaging with C-suite and technical communities, and collaborating with internal teams. It requires SaaS sales leadership experience, domain fluency in search infrastructure and AI, and an understanding of developer-centric infrastructure and the SDLC. | — | 5 |
| Principal Software Developer - Storage Engine - Elasticsearch Principal Software Developer for Elasticsearch's Storage Engine team, focusing on core storage and query technologies for observability workloads. Responsibilities include driving technical vision, architecture, and design, optimizing storage efficiency, advancing ES|QL query processing, and optimizing data layouts. Requires strong Java skills and experience with data storage technologies. The role will leverage AI tools for development acceleration and debugging. | — | 5 |
| Principal Software Engineer - Storage Engine - Elasticsearch Principal Software Engineer for the Elasticsearch Storage Engine team, focusing on core storage and query technologies for observability workloads. Responsibilities include driving technical vision, architecture, and design, improving storage efficiency, optimizing data layouts, and advancing query processing. The role requires strong Java skills and experience with data storage technologies. | — | 5 |
| Senior Solutions Architect - Federal Civilian This role is a Senior Solutions Architect for Elastic, focusing on the Federal Civilian sector. The primary responsibility is to act as a technical authority and trusted advisor to sales teams, customers, and partners, understanding customer business issues and demonstrating how Elastic's Search AI Platform can address their needs. The role involves engaging with the Elastic community, enabling sales through partners, and communicating customer needs back to engineering and leadership. While the company is an AI company and the platform uses AI, the Solutions Architect role itself is not directly building or shipping AI models but rather enabling the sales and adoption of AI-powered products. | — | 5 |
| Mid Market Account Executive - Bay Area This role is for a Mid Market Account Executive at Elastic, an AI company focused on search and data analytics. The AE will drive adoption of Elastic's AI-powered solutions within existing mid-market accounts and engage new customers, acting as a trusted advisor to help users transform data into actionable insights. Responsibilities include identifying new use cases, collaborating with internal teams, and developing business plans to drive growth. The role requires a proven track record in SaaS subscription sales, understanding of Enterprise Search, Log Analytics, Security, and APM solutions, and strong relationship-building skills. | — | 5 |
| Program Manager, Revenue Journey Office Program Manager for Elastic's Revenue Journey Office, focusing on optimizing post-sale customer lifecycle processes (onboarding, adoption, renewals, expansion) and related systems/tools within a B2B SaaS environment. The role involves cross-functional collaboration and evaluating new technologies, including AI-enabled workflows. | — | 5 |
| Principal Solutions Architect, Security Specialist This role is for a Principal Solutions Architect, Security Specialist at Elastic, the Search AI Company. The role focuses on serving as a technical authority and trusted advisor to the sales team and customers, understanding and solving customer business issues with the Elastic Stack, and enabling sales through partners. While the company is an AI company and the platform uses AI, this role is in technical presales and customer-facing, not directly building or researching AI models. | — | 5 |
| Sr. Director, Global Public Sector Marketing This role is for a Sr. Director of Global Public Sector Marketing at Elastic, the Search AI Company. The individual will lead the go-to-market strategy for the U.S. Public Sector and influence global strategy. Responsibilities include driving pipeline generation, brand awareness, partner marketing, executive programs, and developing content and sales enablement assets. The role requires 12+ years of public sector technology marketing experience and a builder's mindset. | — | 5 |
| Principal Solutions Architect, Security Specialist This role is for a Principal Solutions Architect, Security Specialist at Elastic, the Search AI Company. The role involves serving as a technical authority and trusted advisor to the sales team and customers, understanding customer business issues, and articulating how Elastic's offerings address their needs. The focus is on technical presales, customer relations, and enabling partners, rather than direct AI/ML model development. | — | 5 |
| ABM Manager, Global Public Sector This role is for an Account-Based Marketing Manager focused on the Public Sector. The primary responsibility is to design, execute, and scale ABM programs targeting government accounts. This involves personalizing messaging around use cases like AI/ML, cybersecurity, and data analytics, and navigating government procurement processes and compliance requirements. The role requires collaboration with sales, customer success, and global marketing teams to drive pipeline contribution and revenue outcomes. | — | 5 |
| Solutions Architect - General Business, East (Presales) Solutions Architect role focused on pre-sales technical expertise for Elastic's Search AI Platform, engaging with customers and sales teams to articulate product value and address business needs. The role involves understanding customer goals, demonstrating Elastic products, enabling partners, and communicating customer feedback to engineering. | — | 5 |
| Solutions Architect - General Business, East (Presales) This role is a Solutions Architect focused on general business accounts in the Eastern US. The primary responsibility is to act as a technical authority and trusted advisor to sales teams, customers, and partners, articulating how Elastic's Search AI Platform addresses customer needs and drives business value. The role involves understanding customer business issues, developing value-based relationships, and enabling sales through partners. It requires a strong technical presales background, the ability to influence and inspire, and a passion for continuous learning. | — | 5 |
| Sr. Solutions Architect - Expand West (Presales) This role is a Sr. Solutions Architect for Elastic, focusing on pre-sales technical expertise for their Search AI Platform. The role involves understanding customer needs, articulating how Elastic's offerings address them, enabling sales teams and partners, and acting as a liaison between customers and engineering. While the company is an "AI Company" and its platform uses AI, the Solutions Architect role itself is not directly building or shipping AI models or systems, but rather selling and explaining them. | — | 5 |
| Federal Account Executive - NIH / CDC This role is for a Federal Account Executive at Elastic, a company focused on Search AI. The primary responsibility is to drive the adoption and sales of Elastic's AI-powered search solutions within Federal Civilian agencies, specifically NIH and CDC. The role involves acting as a trusted advisor, identifying new use cases, and navigating complex sales cycles to achieve significant growth within the territory. | — | 5 |
| Senior Solutions Architect - SLED This role is a Senior Solutions Architect for Elastic, a "Search AI Company". The role focuses on being a technical authority and trusted advisor to sales teams, customers, and partners, understanding customer needs and articulating how Elastic's offerings (Search AI Platform, solutions for search, security, and observability) address them. Responsibilities include technical pre-sales, customer relationship building, product demonstration, partner enablement, and communicating customer feedback to engineering. While the company is an "AI Company" and its platform uses AI, the Solutions Architect role itself is not directly building or shipping AI models, but rather selling and implementing solutions that leverage AI. | — | 5 |
| Senior Solutions Architect - SLED This role is a Senior Solutions Architect for Elastic, a "Search AI Company". The role focuses on being a technical authority and trusted advisor to sales teams, customers, and partners, understanding customer needs and articulating how Elastic's offerings (Search AI Platform, solutions for search, security, and observability) address them. Responsibilities include technical pre-sales, customer relationship building, product demonstration, partner enablement, and communicating customer feedback to engineering. While the company is an "AI Company" and its platform uses AI, the Solutions Architect role itself is not directly building or shipping AI models, but rather selling and implementing solutions that leverage AI. | — | 5 |
| Mid Market Account Executive, Pursuit This role is for a Mid Market Account Executive at Elastic, a company focused on its Search AI Platform. The AE will drive net-new revenue by building pipeline, telling the Elastic Search AI story, and closing complex deals in a consumption-based model. Responsibilities include outbound prospecting, deep discovery, value storytelling, deal strategy, negotiation, and cross-functional collaboration. The role requires proven SaaS sales experience, strong discovery and negotiation skills, and technical/cloud fluency. | — | 1 |
| Enterprise Account Executive - Expand Northeast Enterprise Account Executive responsible for driving net-new revenue and expansion within strategic Enterprise accounts, focusing on selling Elastic's Search AI Platform. The role involves building pipeline, telling the Elastic Search AI story, and closing complex deals in a consumption-based model, requiring technical fluency and cross-functional collaboration. | — | 0 |
| Sr. Campaigns Manager, Security This role is for a Sr. Campaigns Manager, Security at Elastic, a company that positions itself as a 'Search AI Company'. The role focuses on creating and managing security-focused marketing campaigns to drive awareness, engagement, and revenue growth. Responsibilities include campaign strategy, buyer journey alignment, cross-functional collaboration, and performance tracking. The role requires 8+ years of experience in demand generation or revenue marketing, with a focus on SaaS or enterprise security, and proficiency in marketing platforms like Marketo and Salesforce. While the company emphasizes AI in its branding and product offerings, this specific role is in marketing and campaign management, not directly involved in building or shipping AI models or systems. | — | 0 |