7+ years of product management experience in enterprise B2B or SaaS products
Expertise in data security, data privacy, and encryption
Ability to define success metrics and summarize customer inputs into actionable requirements
Experience collaborating with senior engineering leadership on complex technical concepts
Skilled in driving business results through influential leadership across multiple teams
Passion for designing user-friendly solutions for complex technical products
Responsibilities
Lead all aspects of data security for the Databricks Lakehouse platform
Drive product strategy for external and internal controls related to regulatory obligations
Create simple policy models for customer access to critical assets
Increase customer trust through robust security measures for data classification
Build a best-in-class data security policy model minimizing unauthorized access risks
Partner with legal and security teams to ensure data anonymization and retention
Understand evolving data security threats and propose new innovations
Benefits
Comprehensive health benefits
Equity options
Annual performance bonuses
Dozens of paid holidays and vacations
Remote work flexibility
Full Job Description
P-1016
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.
Local Pay Range
$129,000-$228,000 USD
BenefitsAt 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.
About Databricks
Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.