Sr Staff Product Operations ManagerActive$200K

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,…

What you'll do

• Operational Orchestration: Define and govern the strategic engagement model between Engineering, Product, and GTM, ensuring that product lifecycle milestones are seamlessly integrated with field readiness and revenue velocity.

• Investment Intelligence: Act as a critical advisor to executive leadership, applying a consultant’s rigor to evaluate business investments. You will analyze resource allocation, unit economics, and the opportunity costs inherent in scaling a world-class Data and AI platform.

• Synthesis of Ambiguity: Transform disparate, multi-dimensional data signals from across the organization into coherent business insights. You will be the definitive voice in translating "engineering velocity" into "market impact," providing the clarity necessary for high-stakes decision-making.

• Systems Transformation: Lead the evolution of our product development lifecycle (PDLC). You will identify structural bottlenecks and design scalable solutions that enhance organizational throughput without sacrificing technical excellence.

• Strategic Connective Tissue: Serve as the authoritative bridge between the "How" of technical execution and the "Why" of business value, ensuring a unified language of success across our most senior stakeholders.

• Act as the connective tissue between Support, Product, Engineering, and: Analytics to drive operational alignment, product readiness, and continuous improvement across support workflows.

What they're looking for

• 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.