Sr Staff Product Operations Manager

Databricks•Seattle, WA

17h

About The Position

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.

Requirements

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).
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 Haves

An MBA is highly preferred.
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

Responsibilities

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.
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.
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.
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.
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.
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.