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Support sales strategy, planning, reporting, and analysis for US Public Sector sales. Collaborate cross-functionally to align targets and recommendations with growth objectives. Manage KPIs, budget forecasts, and drive pipeline initiatives while addressing sales concerns and resource planning.

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

The Senior Product Marketing Manager leads portfolio-level positioning and messaging, drives go-to-market narratives, and collaborates with executives to create compelling stories and materials that highlight Elastic's offerings in search, security, and observability.

The role involves driving revenue growth in SLED Enterprise accounts through building pipelines, conducting value-driven sales presentations, and closing high-stakes contracts. Responsibilities include collaborating with cross-functional teams, executing outbound strategies, and maintaining forecast accuracy in a consumption-based sales environment.

The Partner Marketing Manager will plan and execute marketing initiatives with strategic partners, ensuring alignment with Elastic's goals while fostering collaboration, tracking performance, and refining strategies based on feedback.

The Principal Product Marketing Manager will craft narratives for Elastic Observability, drive go-to-market strategies, enable sales, and represent Elastic at industry events.

The role involves driving revenue and expansion in SLED Enterprise accounts through pipeline development, deal closures, and collaboration with cross-functional teams, emphasizing sales execution and technical fluency.

The Director of Sales Strategy & Finance leads public sector sales operations, strategy, and analysis to improve sales performance and drive revenue growth. Responsibilities include collaboration with leadership on market strategies, pipeline management, and operational excellence.

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.

The role involves driving the adoption of Elastic's AI-powered solutions, deepening engagement with existing accounts, developing new use cases, and identifying new business opportunities in the mid-market sector.