Strategic Enterprise Account Executive, Lakewatch

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Benefits Diversity Engineering Research Students & new grads Back to search results Strategic Enterprise Account Executive, Lakewatch United States Apply now SLSQ427R272 Databricks is seeking a Lakewatch Sales Specialist to help security teams modernize their SIEM with an open, agentic platform that unifies security, IT, and business data for AI-driven detection and response. As a global specialist overlay, you will partner with regional account teams to make Lakewatch the strategic choice for customers looking to consolidate tools, cut SIEM costs, and defend at machine speed. The impact you will have Hit and exceed Lakewatch ARR and pipeline targets in your coverage area, building a durable, data-driven Lakewatch business. Replace or reduce legacy SIEM and log management tools, delivering clear customer savings while maintaining or improving detection and response outcomes. Establish Lakewatch as the strategic security data platform in key accounts, with customers ingesting and retaining 100% of their security telemetry and using it alongside business data. Drive high-impact SIEM and security analytics deals across the global DB700 by co-owning strategy and execution with core AEs and Cyber SMEs. Run Lakewatch as a business: track revenue, pipeline, and competitive trends, and turn insights into focused account plans and repeatable plays. Enable the field so AEs can independently qualify and position Lakewatch, reflected in growing pipeline and wins sourced by non-specialist sellers. Represent Lakewatch in the market and internally, creating references, stories, and enablement that showcase its impact for security teams. What we look for 7+ years of enterprise SaaS sales experience with a track record of exceeding quota in complex, multi-stakeholder deals. Proven success selling security or observability platforms (e.g., SIEM, log analytics, security data lakes, XDR) to CISOs, SecOps leaders, and SOC teams. Strong understanding of modern security operations and data architectures, and how open data platforms change SIEM economics and capabilities. Ability to sell to both technical and business stakeholders, from SOC analysts and architects to CISOs, CIOs, and line-of-business leaders. Experience in a specialist or overlay role, partnering with core AEs to create, progress, and close opportunities and acting as a force multiplier. Executive presence and technical fluency, including comfort white-boarding solutions and leading C-level conversations about risk, cost, and agility. Strong value-selling and storytelling skills, from discovery to business case, competitive positioning, and close. Bachelor’s degree or equivalent practical experience. Pay Range Transparency Databricks is committed to fair and equitable

compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual

compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total

compensation package for this position may also include eligibility for annual performance

bonus, equity, and the

benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $136,000 — $187,000 USD Zone 2 Pay Range $136,000 — $187,000 USD Zone 3 Pay Range $136,000 — $187,000 USD Zone 4 Pay Range $136,000 — $187,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter , LinkedIn and Facebook .

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