Sr Staff Product Operations Manager

About the Role Databricks is seeking a Senior Staff Product Operations Manager to serve as the chief architect of our internal operational ecosystem. This high-leverage leadership role, embedded within Engineering, orchestrates the intersection of technical innovation, product lifecycle maturity, and global GTM acceleration. You will design high-fidelity frameworks to keep engineering agile while ensuring that product investments are data-driven, transparent, and aligned with our commercial strategy.

What You'll Do

• Act as the connective tissue between Support, Product, Engineering, and Analytics to drive operational alignment, product readiness, and continuous improvement across support workflows.
• Lead and execute strategic initiatives to scale global Support operations, including coverage models, KPI frameworks, and support process enhancements.
• Translate operational pain points into product and tooling requirements—partnering with internal tools, engineering, and analytics teams to drive automation, triage efficiency, and AI assistant improvements.
• Build and maintain dashboards that measure support effectiveness, surface product-driven case trends, and track customer experience across support channels.
• Support quarterly and annual planning cycles, including headcount, capacity modeling, and budget alignment in partnership with Finance and Workforce Management.
• Influence senior stakeholders by turning support and operational insights into clear, data-driven narratives that inform product and business decisions.

What We're Looking For

• Minimum of 9 years of professional experience in Management Consulting, Product Strategy, Technical Program Management, or Operations within the technology sector.
• Bachelor’s degree in a technical, mathematical, or analytical field (e.g., Computer Science, Engineering, Economics). An MBA is highly preferred.
• Demonstrated experience designing and scaling operational frameworks or internal software systems within a high-growth SaaS or enterprise technology environment.
• Expert-level ability to navigate large, complex datasets using SQL-based tools and BI platforms to drive strategic decision-making.
• Proven track record of leading high-stakes, multi-quarter initiatives involving diverse cross-functional teams such as Engineering, Product, and Sales.
• Exceptional ability to synthesize complex technical concepts into clear, actionable business strategies for non-technical executive audiences.

Nice to Have

• Familiarity with Databricks tools, especially for extract/transform/load functions
• Experience working on Support Operations for SaaS based companies.
• Familiarity with tools like Salesforce, Zendesk, Jira, Looker/Tableau, and operational workflows

Compensation & Benefits

• Pay range transparency is provided; actual compensation is based on factors such as skills, experience, certifications, training, and location; the full pay range may be utilized.
• The text indicates a commitment to fair and equitable compensation practices, with location-specific considerations.