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The Federal Account Executive will drive the adoption of Elastic’s AI-powered search solutions, engage with Department of Treasury customers, and develop business plans to enhance growth and customer insights.

Lead AMER sales enablement by diagnosing performance gaps using Gong/Salesforce/Clari data, designing targeted remediation, delivering blended training (MEDDPICC, value selling, pipeline forecasting, GenAI usage), embedding methodology through deal clinics, driving tool adoption, measuring enablement impact with RevOps, and partnering cross-functionally to connect training to sales outcomes.

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.

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.

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

Lead vision, strategy, and execution for an Agent Builder product that enables context for AI agents. Work with customers, sales, engineering, data science, and cloud partners to define roadmap, benchmark agent capabilities, design UX, and evangelize solutions to developers and enterprise customers.

Drive partner-sourced pipeline and technical capability across managed partners (SIs, resellers, MSSPs, cloud providers) for Elastic in the US Public Sector. Build technical engagement plans, deliver enablement and hands-on labs, co-architect repeatable solutions and reference architectures, support partner-led POCs, and produce customer-facing content. Measured on partner-sourced deals, published assets, and technical impact. ~30% travel; DC Metro location required.

Own technical strategy and partnerships with OpenAI and Anthropic: build integrations and prototypes demonstrating Elasticsearch as the retrieval layer, influence product roadmap, manage executive and partner relationships, and co-create go-to-market content and enablement. Travel ~30% to partner sites and events.