Role at a glance
- Salary
- $129K – $228K/yr
- Location
- Seattle, Washington, United States San Francisco, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 7+ years of product management experience with enterprise B2B or SaaS products
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Role Summary
This senior product management role leads data security for the Databricks Lakehouse platform and reports to a Senior Director of Product Management. The role defines security controls and policy models that support privacy, confidentiality, digital sovereignty, regulatory obligations, and secure enterprise use of the platform.
What You'll Do
- Drive product strategy to identify, prioritize, and deliver external and internal data security controls.
- Build a network and data security policy model for secure access to customer workloads and data.
- Partner with privacy, legal, and security teams on anonymization, retention, and residency for regulated data and sensitive assets.
- Research evolving threats and data security technologies, using customer input to propose innovations and industry best practices.
- Partner with cloud providers and support confidential compute.
- Rationalize customer experience and data security technologies across Azure, AWS, and Google Cloud.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
7+ years of product management experience with enterprise B2B or SaaS products; experience delivering successful customer-facing products; domain expertise in data security, data privacy, and encryption; ability to define success metrics, translate customer inputs into actionable requirements, and communicate product value; experience partnering with senior engineering leadership on complex technical concepts; experience driving results across engineering, sales, marketing, solution architects, and customer success; passion for simplifying technically complex products.
Required
- 7+ years of product management experience with enterprise B2B or SaaS products
- Experience delivering successful customer-facing products
- Domain expertise in data security, data privacy, and encryption
- Ability to define and deliver on success metrics
- Ability to summarize customer inputs into actionable requirements
- Ability to communicate product value propositions to customers and sales teams
- Experience partnering with senior engineering leadership
- Ability to deep-dive into complex technical concepts
Original job description
Content provided by the employer
Original job description
Content provided by the employer
P-1016
At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. To achieve our mission, we strive to radically simplify the experience of our users as they undertake complex data management projects, while ensuring that we protect their data with the highest standards of security.
In this role, you will lead all aspects of data security for the Databricks Lakehouse platform. You will drive the product strategy to identify, prioritize and deliver both the external and internal controls necessary for customers to meet their privacy, confidentiality, digital sovereignty and other regulatory obligations. You will create elegant yet simple policy models that enable customers to control access to their most important assets. Your work will help IT and security administrators feel at ease with increasing Databricks usage in their organization. Our data champions will benefit from the data security and operational simplicity you provide, to ensure that they can focus their time on creating most value for their users. You will report to a Senior Director of Product management.
The impact you will have:
- Make security a market differentiator that enables Databricks to succeed in enterprise and regulated industries.
- Help Databricks gain the trust of CSO teams of security sensitive customers and qualify the Lakehouse platform for all data classes in the customer organization.
- Build a vision for a best-in-class network and data security policy model that provides secure access to customer workloads and data while minimizing exposure to unauthorized access and risk of data loss.
- Partner with privacy, legal, and security teams to deliver anonymization, retention, and residency for regulated data and sensitive assets such as AI models.
- Deepen our understanding of evolving threats and corresponding technologies in data security. Use customer inputs to serve as an expert and propose new innovations or best practices from the industry.
- Partner with cloud providers and support confidential compute
- Rationalize and refine the differences in customer experience and data security technologies across multiple clouds including Azure, AWS and Google Cloud.
What we look for:
- 7+ years of product management experience with enterprise B2B or SaaS products, with experience delivering successful customer-facing products/features.
- Domain expertise in data security, data privacy, and encryption
- An accomplished senior product manager who can define and deliver on success metrics, summarize customer inputs into actionable requirements, and crisply communicate product value propositions to customers and sales teams.
- Experience partnering with senior engineering leadership with an ability to deep-dive into complex technical concepts.
- Experience driving business results through influential leadership across multiple partner teams including engineering, sales, marketing, solution architects and customer success.
- Passion for designing products that simplify user experience of technically complex products.
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 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.