Elastic
Enterprise · Search
- HQ
- Mountain View, US
- Founded
- 2012
- Website
- elastic.co
Elastic has 12 active AI-related job listings. All of these roles are focused on agents, representing 100% of their current AI hiring. The majority of these positions are in Engineering, with some in Product. Hiring is concentrated in the United States and the United Kingdom. Frequent tech tags include agent orchestration, RAG, and vector databases. Over the last 30 days, Elastic has posted 11 new AI roles, a 450% increase from the previous 30-day period.
Enterprise · Search
Currently tracking 9 active AI roles, up 58% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $192k–$403k (avg $278k).
Elastic currently has 25 active AI-related roles in our index. The most common open titles are: Principal Product Manager, AI agents - Search (7), Principal Data Scientist - Agent Builder (6), Elastic AI Engineer (2), Principal Search Consulting Architect (2), Principal Software Engineer - Vector Search - Elasticsearch (2). Most positions are in Engineering and Product.
Elastic's active AI hiring is concentrated in: agents (92%), application (4%), data (4%). 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 (12 roles), Netherlands (6 roles), United Kingdom (2 roles), Canada (2 roles).
Job postings at Elastic most frequently reference: rag, llm observability, agent orchestration, vector db, evals.
In the past 30 days, Elastic has posted 16 new AI-related roles. That is a +78% change versus the prior 30 days (9 → 16).
| Title | Stage | AI score |
|---|---|---|
| Principal Data Scientist - Agent Builder Principal Data Scientist to build and evaluate Elastic's conversational and agentic platform, focusing on RAG, agents, tools, and quality metrics. The role involves defining evaluation strategies, leading quality metric design, building retrieval approaches, influencing product decisions, and partnering with engineering for productionization. | AgentEval Gate | 9 |
| Principal Data Scientist - Agent Builder Principal Data Scientist to build and evaluate Elastic's conversational and agentic platform, focusing on RAG, agents, tools, and quality metrics. The role involves defining evaluation strategies, leading quality metric design, building retrieval approaches, influencing product decisions, and partnering with engineering for productionization. | AgentEval Gate | 9 |
| Principal Data Scientist - Agent Builder Principal Data Scientist to build and evaluate Elastic's conversational and agentic platform, focusing on RAG, agents, tools, and quality metrics. The role involves defining evaluation strategies, leading quality metric design, building retrieval approaches, influencing product decisions, and partnering with engineering for productionization. | AgentEval Gate | 9 |
| Principal Data Scientist - Agent Builder Principal Data Scientist to build and evaluate Elastic's conversational and agentic platform, focusing on RAG, agents, tools, and quality metrics. The role involves defining evaluation strategies, leading quality metric design, building retrieval approaches, influencing product decisions, and partnering with engineering for productionization. | AgentEval Gate | 9 |
| Principal Data Scientist - Agent Builder Principal Data Scientist to build and evaluate Elastic's conversational and agentic platform, focusing on RAG, agents, tools, and quality metrics. The role involves defining evaluation strategies, leading quality metric design, building retrieval approaches, influencing product decisions, and partnering with engineering for productionization. | AgentEval Gate | 9 |
| Principal Data Scientist - Agent Builder Principal Data Scientist to lead the technical direction for evaluating, improving, and scaling chat quality within Elastic's conversational and agentic platform. This role involves defining evaluation strategies, designing quality metrics for RAG, agents, and tools, and partnering with engineering to productionize evaluation pipelines and guardrails. The focus is on applied leadership to prototype, evaluate, and influence roadmap for AI-driven product improvements. | AgentEval Gate | 9 |
| Elastic AI Engineer Elastic is seeking an AI Engineer to build autonomous, enterprise-grounded agents that complete complex business tasks using the Elastic Stack, RAG, and LLM integration. The role involves designing agentic workflows, integrating LLMs with APIs and tools, managing the agent lifecycle, and ensuring scalability and security. | Agent | 9 |
| Elastic AI Engineer Elastic is seeking an AI Engineer to build autonomous, enterprise-grounded agents that complete complex business tasks using the Elastic Stack, RAG, and LLM integrations. The role involves designing agentic workflows, integrating LLMs with APIs and tools, managing the agent lifecycle, and ensuring scalability and security. | Agent | 9 |
| Principal Product Manager, AI agents - Search Principal Product Manager for Elastic Agent Builder, focusing on defining how enterprises build, manage, and scale context for AI agents. This role involves understanding customer requirements, building a roadmap for context engineering capabilities, and working with data science and engineering on benchmarking and evaluations. | Agent | 8 |
| Principal Product Manager, AI agents - Search Principal Product Manager for Elastic Agent Builder, focusing on defining strategy and roadmap for context engineering capabilities for AI agents. The role involves understanding customer requirements, market trends, and working with data science and engineering teams to develop strategies for agent benchmarking and evaluation, as well as user experience design. | Agent | 8 |
| Principal Product Manager, AI agents - Search Principal Product Manager for Elastic's Agent Builder, focusing on defining the vision, strategy, and execution for how enterprises build, manage, and scale context for AI agents. This role involves understanding customer requirements, building roadmaps for context engineering capabilities, and working with data science and engineering on benchmarking and evaluations. | Agent | 8 |
| Principal Product Manager, AI agents - Search Principal Product Manager for Elastic Agent Builder, focusing on defining strategy and execution for context engineering capabilities for AI agents. The role involves understanding enterprise customer needs, market trends, and working with data science and engineering teams to build and evangelize agent capabilities. | Agent | 8 |
| Principal Product Manager, AI agents - Search Principal Product Manager for Elastic Agent Builder, focusing on defining how enterprises build, manage, and scale context for AI agents. This role involves understanding customer requirements, building roadmaps for context engineering capabilities, and working with data science and engineering on agent benchmarking and evaluations. | Agent | 8 |
| Principal Product Manager, AI agents - Search Principal Product Manager for Elastic Agent Builder, focusing on defining how enterprises build, manage, and scale context for AI agents. This role involves understanding customer requirements, building a roadmap for context engineering capabilities, analyzing the AI Agent market, and working with data science, engineering, and design teams. The goal is to make AI agents faster, lower cost, and more accurate by enhancing their context layer. | Agent | 8 |
| Senior AI Data Engineer Senior AI Data Engineer responsible for building and maintaining the golden customer dataset, making it AI-ready for downstream AI workflows (account research, lead scoring, churn signals, CSM briefings). This involves designing canonical datasets, implementing enrichment pipelines, deduplication, entity resolution, validation systems, chunking, embedding strategy, metadata design, and source integration. The role also owns quality, lineage, monitoring, drift detection, and documentation for AI consumption. Requires experience with GTM data, preparing data for RAG, embeddings, and AI agents, and using LLMs for data tasks. Experience with Python, SQL, cloud infrastructure, orchestration, and Elastic Stack is necessary. | DataAgent | 7 |
| Principal Product Manager, AI agents - Search Principal Product Manager for Elastic Agent Builder, focusing on defining strategy and execution for context engineering capabilities for AI agents. This role involves understanding customer requirements, market trends, and working with data science and engineering teams to build and evangelize agent context solutions. | Agent | 7 |
| 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 |
| 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 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 |
| Senior Software Engineer - Search Relevance - Elasticsearch Senior Software Engineer focused on enhancing vector and keyword search functionality within Elasticsearch, including designing and implementing new search features, improving existing functionality, and resolving bugs. The role involves contributing to search relevance, working with vector databases and algorithms like HNSW/IVF at scale, and writing modern Java. | AgentServe | 7 |