Sr Staff Product Operations Manager

Databricks is seeking a Senior Staff Product Operations Manager to serve as the chief architect of its internal operational ecosystem. This high-leverage leadership role sits within Engineering and is designed to orchestrate the intersection of technical innovation, product lifecycle maturity, and global Go-to-Market (GTM) acceleration. The role involves leading the creation of a formal Operational Association and designing frameworks that keep the engineering organization agile while ensuring product investments are data-driven, transparent, and aligned with long-term commercial strategy.

• Act as 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.

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 Business Intelligence (BI) platforms. Proven track record of leading high-stakes, multi-quarter initiatives involving diverse cross-functional teams. 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 companies, and familiarity with tools like Salesforce, Zendesk, Jira, Looker/Tableau, and operational workflows.

Local pay range: $179,700—$247,050 USD. The total compensation package may also include eligibility for annual performance bonus, equity, and benefits.