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.
- 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.
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Skills Required
- 7+ years of enterprise SaaS sales experience
- Proven success selling security or observability platforms
- Strong understanding of modern security operations and data architectures
- Ability to sell to both technical and business stakeholders
- Experience in a specialist or overlay role
- Executive presence and technical fluency
- Strong value-selling and storytelling skills
- Bachelor's degree or equivalent practical experience
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
-
Equity Value & Accessibility — Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
-
Healthcare Strength — Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
-
Parental & Family Support — Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
