Sr. Product Manager, Compute Platform

Overview

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems. We build and run the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. We seek a customer-obsessed, strategic, and action-oriented Sr. Product Manager for the Compute Platform. The Compute Platform powers Databricks workloads by providing customers with multiple compute options (Classic Compute, SQL Warehouses, and Serverless Compute). This platform is mission-critical to many Databricks products and features.

This role is highly cross-functional and deeply technical, coordinating activities from vision to implementation. It includes engaging enterprise customers, developing long-term strategy, defining roadmaps, collaborating with engineering, and coordinating with internal stakeholders to ensure product success.

Responsibilities

• Research, define, and own the product vision, strategy, and roadmap for compute platform features and products (Classic and Serverless)
• Work closely with engineering, design, sales, and marketing to launch new features and drive adoption
• Engage directly with customers and partners to understand their needs and prioritize high-impact solutions
• Improve efficiency and value for internal stakeholders and external customers through measured, strategic execution
• Drive competitive differentiation and positioning between the compute platform and competitive SaaS/IaaS products
• Collaborate with leadership to align product initiatives with business goals
• Use data-driven insights to measure success, iterate, and improve user experience

Qualifications

• 5+ years of product management experience, preferably in cloud, analytics, or data platforms
• Deep understanding of data platforms, the compute products that power them, and compute use cases
• Educational background in computer science or related engineering discipline
• Experience working with engineers and designers to ship high-impact, cross-functional products
• Exceptional communication and storytelling skills to inspire teams and stakeholders
• Experience working with enterprise customers and ISV partners in the data market

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range 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 is based on factors such as job-related skills, depth of experience, certifications, training, and location. The total package may include annual performance bonus, equity, and listed benefits. For more information on your location’s range, please visit our page.

Zone 2 Pay Range

$133,000 — $186,100 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations rely on the Databricks Data Intelligence Platform. Databricks is headquartered in San Francisco with offices worldwide and was founded by the creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow. Follow Databricks on Twitter , LinkedIn , and Facebook .

Benefits

Databricks provides comprehensive benefits and perks. For details on benefits in your region, please visit the referenced benefits page.

Our Commitment to Diversity and Inclusion

We are committed to fostering a diverse and inclusive culture. Our hiring practices are inclusive and comply with equal employment opportunity standards. Databricks considers applicants without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical or mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, the Employer may apply for a U.S. government license or decline to proceed with an applicant on that basis alone.

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