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 is a high-leverage leadership role embedded within Engineering, designed to orchestrate the complex intersection of technical innovation, product lifecycle maturity, and global Go-to-Market acceleration. You will lead the creation of a formal Operational Association and design high-fidelity frameworks to keep engineering agile while ensuring that product investments are data-driven, transparent, and aligned with our long-term 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

• Professional Experience: Minimum of 9 years in Management Consulting, Product Strategy, Technical Program Management, or Operations in tech; Bachelor's in technical/analytical field; MBA highly preferred.
• Demonstrated experience in designing and scaling operational frameworks or internal software systems within high-growth SaaS/enterprise environments.
• Expert-level ability to navigate large, complex datasets using SQL-based tools and BI platforms.
• Proven track record of leading high-stakes, multi-quarter initiatives with cross-functional teams (Engineering, Product, Sales).
• Exceptional ability to synthesize complex technical concepts into clear business strategies for non-technical executives.

Nice to Have

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

Compensation & Benefits

• Pay ranges not disclosed in posting; Databricks commits to fair and equitable compensation; actual packages based on location, skills, experience, etc.
• Total compensation package may include base salary, bonuses, equity, and benefits per company policy.