Description
At Databricks, we are building the world's best data and AI infrastructure platform to enable data teams to solve the world's toughest problems. The Serverless Workspaces team is the engine behind Databricks' shift from a 'configure-first' to a 'use-now' platform. We are redefining the customer onboarding experience by removing the heavy lifting of cloud infrastructure without complicated networking, storage, and cluster configuration, just instant access to data and AI.
You will own the strategy for this next-generation platform layer, balancing the simplicity of a SaaS experience with the control enterprise customers demand. The impact you will have:
- Drive the transition to Serverless: Lead the strategy to unify the journey to onboard to serverless and classic workspaces and drive 10X usage of serverless in the next year
- Democratize Workspace Creation: Design and ship flows that allow users to spin up workspaces instantly with little friction while maintaining strict governance guardrails and company policies
- Redefine the 'Getting Started' experience: Lower the barrier to entry by removing the requirement for customers to manage detailed cloud infrastructure configurations before using Databricks but allowing them dial those in when they're ready
- Solve 'Workspace Proliferation': Help define the tools and policies that allow Admins to confidently govern increased amounts of workspaces across the enterprise
- Unify the Data Estate: Work closely with the Unity Catalog and Identity teams to ensure that these new serverless environments seamlessly integrate with a customer's existing data and security models
What we look for:
- 7+ years of experience as a Product Manager working on cloud infrastructure, developer platforms, or SaaS foundations
- Technical depth in Cloud Infrastructure: Familiarity with AWS, Azure, or GCP resource management (e.g. networking, compute, identity) and how to abstract that complexity for end-users
- Passion for simplification: A track record of taking complex technical workflows (like configuring a VPC or peering) and turning them into 'one-click' consumer-grade experiences
- Data-driven mindset: Comfortable defining and tracking KPIs, such as 'Time to First Workspace' or 'Serverless Adoption Rate,' to measure success
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.