The Mid-Market Account Executive will drive Elastic's AI-powered solutions adoption, engage with mid-market accounts, and develop new business opportunities while collaborating across teams for an exceptional customer experience.

You will lead product management for Elasticsearch, focusing on team growth, technical product strategy, customer engagement, and market analysis.

The Distinguished Engineer will architect and guide Elastic's search products, enhance user experience, and mentor engineers while collaborating across teams and with customers.

The role involves developing and maintaining libraries and integrations for the Elastic product suite, focusing on software development in Python and Node.js while engaging with developer communities.

Drive adoption and sales of Elastic's AI-powered search solutions to mid-market accounts, provide insights, and develop new business opportunities.

The role involves developing backend solutions for Kibana, focusing on alerting and reporting, while mentoring team members and collaborating across operations.

Lead developer-focused product marketing for Elasticsearch & AI (Jina AI). Define GTM strategy, craft technical messaging and developer content, enable field teams, build partner/developer ecosystems, run launches, and represent the product at events.

Lead design and development of automated benchmarking tooling and processes for Elasticsearch at cloud scale. Define methodologies, run and interpret performance tests, investigate regressions, assist capacity planning, and mentor engineers. Collaborate cross-functionally to tune distributed systems and report benchmarking results.

Drive adoption and expansion of Elastic's search and AI-powered solutions within mid-market accounts in California. Act as trusted advisor, identify new use cases, collaborate cross-functionally, and manage complex sales cycles to achieve quota and territory growth.

Drive new business and revenue growth across a Northeast territory by qualifying leads, managing a full sales cycle, building a robust pipeline, positioning Elastic as a trusted advisor, developing use cases, and collaborating cross-functionally to close deals.

As a Senior Software Engineer at Elastic, you will enhance search features and functionality in Elasticsearch, work on algorithms, and collaborate with a global team to improve search relevance.

Lead AI agentic deployments and design tailored solutions using Elastic technologies. Oversee technical delivery, mentor junior engineers, and ensure successful client partnerships in AI implementations.

The Principal Software Engineer II will lead and contribute to Elasticsearch's Storage Engine team, focusing on efficient data querying, indexing, and developing Timeseries solutions. This role requires strong technical leadership, collaboration across teams, and expertise in Java and Elasticsearch.

Lead and expand business in the General Business segment, focusing on team motivation, revenue growth, and customer acquisition. Manage quotas and foster relationships.

Lead and expand business with strategic accounts in the Midwest and Eastern regions, focusing on sales quota attainment and team leadership.

The Principal Software Engineer II will build and maintain machine learning components in Elasticsearch, collaborating with teams, writing scalable code, and owning projects from design to implementation.

The role involves improving Elasticsearch's distributed components, maintaining cluster coordination systems, and addressing complex issues to optimize performance and scalability.

The Senior Software Engineer will enhance vector similarity search functionality in Elasticsearch, design new features, and work collaboratively within a distributed team.

The Enterprise Account Executive will build relationships to grow revenue in new Enterprise accounts, managing the sales cycle and ensuring customer success with Elastic solutions.

Seeking a Senior Software Engineer to enhance Elasticsearch's analytical capabilities, focusing on feature design, implementation, and collaboration in a remote environment.