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.

This role leads the enterprise-wide AI strategy and technology deployment, focusing on designing and scaling AI-driven solutions to improve business processes, increase productivity, and reduce operational overhead. The candidate will conduct business process analyses, prioritize AI integration opportunities, and manage a cross-functional team.

The Principal Analytics Engineer will lead the design and build of an AI-powered intelligence system for the marketing organization, creating a semantic blueprint for business data interaction. This role involves architecting BigQuery and dbt infrastructure, developing a semantic layer for AI agents, and integrating disparate data signals into a unified customer journey model.

This role is for a Principal Analytics Engineer to lead the design and build of an AI-powered intelligence system for the Marketing organization. The focus is on creating a semantic blueprint for business data, transforming raw signals into high-fidelity, agent-ready data products, and enabling AI agents to interact with this data. The role involves architecting BigQuery and dbt infrastructure, mapping the customer journey, and partnering with various teams.

This role is for a Sr. 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 implement Elastic's solutions to solve business problems. The role involves building customer relationships, demonstrating product value, and communicating customer needs back to engineering teams. While the company is AI-focused, the role itself is not directly building AI models but rather architecting solutions that leverage AI capabilities.

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.

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.

This role is for a Senior Developer Advocate focused on content creation, specifically technical videos about Elastic's Search AI Platform. The role involves publishing videos, building demos, and contributing to Elastic's content channels, with a focus on educating users about search, AI/ML, and Elasticsearch integrations. While AI is a key topic, the core function is content creation and advocacy, not direct AI/ML model development or deployment.

Senior Software Engineer focused on enhancing vector and keyword search functionality within Elasticsearch, including new feature design, implementation, and bug resolution. The role involves contributing to search relevance, potentially inventing new algorithms or data structures, and working with community members.

This role is for a Principal Software Engineer on the Traffic team within Elastic's Platform Engineering department. The team focuses on building and improving the multi-cloud platform at scale for Elastic Cloud and Serverless, utilizing Kubernetes, Go/Scala, and custom orchestration architectures. The engineer will lead technical initiatives for automating network engineering, grow global platform infrastructure, and prevent customer impact from incidents.

Principal Software Engineer for the Elasticsearch Search Scaling team, focusing on core search infrastructure, indexing, retrieval, and relevance. The role involves defining and building the next generation of Elasticsearch capabilities, researching advances in search infrastructure, and shaping the technical vision for search at Elastic.