Databricks

2 months ago

Sr Staff Product Operations Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Senior staff leader responsible for shaping the internal operational ecosystem across Engineering, Product, and GTM at Databricks. You’ll design high‑fidelity frameworks, govern cross‑functional processes, and translate engineering velocity into measurable business impact, driving product readiness, support scalability, and revenue acceleration for a global data/AI platform.

Location: Mountain View, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Business Operations

Seniority: Sr. Manager level

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 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.

Pay and Benefits

Salary: USD 199,700 - 274,550 annually

Key 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). 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 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.

Experience:9+ yearsSaaSEnterprise technologyData analyticsAICloud

Education:Bachelor's

Skills:CommunicationLeadershipProblem-solvingStakeholder management

Languages:English

Tech Stack:SQLBISalesforceZendeskJiraLookerTableau

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

2 months ago

Sr Staff Product Operations Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Mountain View, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Business Operations

Seniority: Sr. Manager level

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 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.

Pay and Benefits

Salary: USD 199,700 - 274,550 annually

Key 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). 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 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.

Experience:9+ yearsSaaSEnterprise technologyData analyticsAICloud

Education:Bachelor's

Skills:CommunicationLeadershipProblem-solvingStakeholder management

Languages:English

Tech Stack:SQLBISalesforceZendeskJiraLookerTableau

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn