# Sr Staff Product Operations Manager

**Company**: Databricks
**Location**: Bellevue, Seattle, Washington
**Experience**: senior
**Job type**: full-time
**Salary**: $179,700-$247,050 USD
**Category**: Operations
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8524422002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_803069d8-4bc

## Description

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.

## 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 consultant’s rigor to evaluate business investments.

- Synthesis of Ambiguity: Transform disparate, multi-dimensional data signals from across the organization into coherent business insights.

- Systems Transformation: Lead the evolution of our product development lifecycle (PDLC).

- Strategic Connective Tissue: Serve as the authoritative bridge between the "How" of technical execution and the "Why" of business value.

## 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.

- Translate operational pain points into product and tooling requirements.

- Build and maintain dashboards that measure support effectiveness.

- Support quarterly and annual planning cycles.

- Influence senior stakeholders by turning support and operational insights into clear, data-driven narratives.

## 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.

- Bachelor’s degree in a technical, mathematical, or analytical field.

- Demonstrated experience in designing and scaling operational frameworks or internal software systems.

- Expert-level ability to navigate large, complex datasets using SQL-based tools and Business Intelligence (BI) platforms.

- Proven track record of leading high-stakes, multi-quarter initiatives.

- Exceptional ability to synthesize complex technical concepts into clear, actionable business strategies.

## Nice to Have:

- Familiarity with Databricks tools.

- Experience working on Support Operations for SaaS based companies.

- Familiarity with tools like Salesforce, Zendesk, Jira, Looker/Tableau.

## Pay Range Transparency

The pay range(s) for this role is $179,700-$247,050 USD.

## Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

## Skills

### Required
- SQL
- Business Intelligence
- Technical Program Management
- Operations
- Management Consulting
- Product Strategy

### Nice to have
- Databricks tools
- Support Operations
- Salesforce
- Zendesk
- Jira
- Looker/Tableau

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8524422002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)