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The role involves leading initiatives for vector search in Elasticsearch, enhancing features, resolving bugs, and contributing to community engagements in a distributed team setting. A strong background in vector similarity and Java is crucial.

Lead and scale a team of account executives selling Elastic's Search and GenAI infrastructure. Build GTM strategy, coach for quota attainment, engage C-suite and technical buyers, own pipeline/forecasting, collaborate cross-functionally on PoCs and product feedback, and travel regularly to support deal execution.

Own channel motion for Austin territory: generate partner-sourced pipeline, onboard and enable partners, manage deal execution and registrations, maintain pipeline hygiene, report regional channel metrics, and collaborate cross-functionally to accelerate partner-driven revenue.

The ABM Manager will lead Account-Based Marketing programs, focusing on Public Sector accounts, engagement with government decision-makers, and driving revenue growth through tailored marketing strategies and execution of high-impact campaigns.

The Global PR Director will lead external communications, develop PR strategies, drive visibility across channels, and collaborate closely with product and marketing teams.

Design, implement, and optimize Elasticsearch core storage and query engine components for observability workloads. Drive architectural improvements, resolve performance bottlenecks in indexing and serialization, optimize data layouts for object storage, lead cross-organizational initiatives, mentor engineers, triage community issues, and write idiomatic modern Java in a distributed team.

Develop and maintain core Elasticsearch infrastructure and shared platform features. Design scalable APIs, solve performance and concurrency issues, improve observability and CI/CD, automate developer workflows, lead cross-team projects, support complex operational investigations, and use AI to accelerate development and debugging.

Drive architecture and technical vision for Elasticsearch core storage and query engine. Lead performance and storage-efficiency improvements, design indexing/serialization/data layouts, mentor engineers, coordinate cross-organizational initiatives, triage community issues, and write idiomatic modern Java for logs and metrics workloads.

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

Design, build, and improve Elasticsearch distributed-systems components for scalable, concurrent, and consistent indexing. Maintain cluster coordination for performance and resilience, push system scale limits, investigate performance and concurrency issues, support operations/support engineers, and lead projects involving multiple engineers from design through delivery.