Senior Staff Product Operations Manager
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Maintainer signals as of 9/25/2026
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead operational alignment across Support, Product, Engineering, and Analytics. You will scale global support operations, translate pain points into tooling requirements, build effectiveness dashboards, support planning and capacity modeling, and turn operational insights into data-driven business decisions.
Requirements
- Minimum of 9 years of experience in management consulting, product strategy, technical program management, or technology operations
- Experience designing and scaling operational frameworks or internal software systems in a high-growth SaaS or enterprise technology environment
- Expert ability to use SQL-based tools and business intelligence platforms for strategic decision-making
- Experience leading high-stakes, multi-quarter cross-functional initiatives
- Ability to synthesize technical concepts into actionable business strategies for executive audiences
Responsibilities
- Drive operational alignment, product readiness, and continuous improvement across support workflows
- Lead strategic initiatives that scale global Support operations, including coverage models, KPI frameworks, and process enhancements
- Translate operational pain points into product and tooling requirements
- Partner with internal tools, engineering, and analytics teams to improve automation, triage efficiency, and AI assistants
- Build and maintain dashboards for support effectiveness, case trends, and customer experience
- Support planning cycles through headcount planning, capacity modeling, and budget alignment
- Influence senior stakeholders with data-driven operational insights
Benefits
- Annual performance bonus eligibility
- Equity eligibility