Staff Product Operations Manager

Mountain View, CaliforniaFull-TimeManagerOperations

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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.

7+ years of experience in Operations, Consulting or Strategy roles, ideally at a SaaS company or large tech company
Proven track record driving cross-functional initiatives and collaborating across different organizations such as Product, Engineering, Data Science, GTM, and Support teams
Excellent communication and stakeholder management skills, with an ability to influence without authority
Strong process-orientation and systems thinker with bias for action
Comfort navigating large datasets using SQL-based tools and delivering dashboards and BI visualizations
Ability to translate complex data into actionable insights, the communicate and action those insights
Experience working in a high-growth, fast-paced environment and managing multiple priorities

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

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.

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.