Databricks는 Senior Staff Product Operations Manager를 채용합니다. 엔지니어링 조직의 운영 생태계를 설계하고 제품 전략과 기술 실행을 연결하는 핵심 역할을 수행합니다. 9년 이상의 운영 전략 경험과 SQL 및 BI 도구 활용 능력이 필수입니다. 고성장 SaaS 환경에서 복잡한 데이터를 비즈니스 인사이트로 전환할 전략적 리더를 찾습니다.
P-1495
At Databricks, we are passionate about enabling data teams to solve the world's 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 world's 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 we're only getting started.
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.
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.
Professional Experience: 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 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.
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$199,700—$274,550 USD
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
**Benefits
**At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
