Sr Staff Product Operations Manager

P-1495

About Databricks

At Databricks we are passionate about enabling data teams to solve the worlds toughest problems from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the worlds best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and customer obsessed we leap at every opportunity to solve technical challenges from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And were only getting started.

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 (GTM) acceleration.

In this capacity you will move beyond the management of existing processes to lead the creation of a formal Operational Association. You will be responsible for designing the high-fidelity frameworks that allow our engineering organization to remain agile while ensuring that every product investment is data-driven transparent and rigorously aligned with our long-term commercial strategy. This role is purpose-built for a strategic thinker who excels at navigating the gray space between a deep technical roadmap and the sophisticated financial requirements of a global enterprise platform.

Impact

• 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 consultants 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.

Key Responsibilities:

• 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 requirementspartnering 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 Look For:

• Professional Experience: Minimum of 9 years of professional experience in Management Consulting Product Strategy Technical Program Management or Operations within the technology sector.

• Bachelors degree in a technical mathematical or analytical field (e.g. Computer Science Engineering Economics). An MBA is highly preferred.

• Demonstrated experience in 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 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