RDQ427R158
As the Head of Security & Observability ISV Partnerships, you will be responsible for recruiting, developing, and scaling a global partner ecosystem that makes Databricks the best place to run data-and-AI-intensive security and observability workloads. You will own strategy and execution with top ISVs across cybersecurity (identity, endpoint, governance, compliance, data protection, threat detection) and observability (logging, monitoring, APM, telemetry) — building integrations, co-creating joint GTM plays, and helping our field and customers realize the value of combining Databricks with leading security and observability partners.
We are looking for someone who has “seen the movie” on what works and what doesn’t at one or more hyperscalers and, ideally, has also worked at a leading cybersecurity or observability ISV. The role demands both technical and GTM acumen — able to work with Product and Engineering teams on integrations across identity, governance, logging, and monitoring, as well as with Sales and Marketing teams on go-to-market execution. It is a fast-paced, cross-functional role requiring strong communication, prioritization, and presentation skills, and the ability to quickly context-switch between product, engineering, and field conversations. Success will require deep subject matter expertise in large-scale technology ecosystems, coupled with a scrappy, entrepreneurial spirit to build high-quality programs that establish Databricks as the best place to run security and observability workloads for years to come.
The impact you will have:
What we look for:
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 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 anticipates 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.
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 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 anticipates 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, please visit https://www.mybenefitsnow.com/databricks.
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.