Staff Product Manager, Security
Databricks · San Francisco, California · Product · listed February 6, 2024
The shape of it
Seniority
Manager
Experience asked
7+ years
Where
Not stated
Stated pay
$135,700 – $240,000 USD
Requirements listed
6
Length
853 words
In the posting’s own words
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.
What it asks for · 6
- 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.
What the job covers
- 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.
Tools and skills named
Security & compliance
- Security11×
- Regulatory
Data
- Databricks5×
- Data warehouse2×
Product & design
- Product management3×
- Product strategy
- User experience
Cloud & infra
- AWS
- Azure
- GCP
Go to market
- Customer success
- SaaS
Words the posting leans on
- data17×
- customer11×
- security11×
- product8×
- experience7×
- data security6×
- access3×
- cloud3×
- complex3×
- deliver3×
- models3×
- partner3×
- privacy3×
- senior3×
- users3×
- assets2×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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