Sr. Product Manager Compute Platform
@ Databricks

Seattle, Washington, United States
$160,000
On Site
Full Time
Posted 16 hours ago

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XXXXXXXX XXXXXXXXXXX XXXXXXXX***** @databricks.com
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Job Details

About the Role

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems by building and running the world’s best data and AI infrastructure. As the Sr. Product Manager Compute Platform, you will define product vision, strategy, and roadmap for compute solutions including Classic Compute, SQL Warehouses, and Serverless Compute.

Key Responsibilities

  • Research, define, and own product vision and roadmap.
  • Collaborate with engineering, design, sales, and marketing teams.
  • Engage with enterprise customers and partners to prioritize solutions.
  • Drive competitive differentiation and measure success using data.
  • Align product initiatives with business goals.

What We Look For

Minimum 5 years of product management in cloud, analytics, or data platforms with a deep understanding of compute products and their use cases. Educational background in computer science or related field required. Excellent communication, storytelling skills, and experience working directly with engineers, designers, and enterprise customers.

Compensation & Benefits

This role offers a competitive compensation package including annual performance bonus, equity, and comprehensive benefits. Salary range for this role is from $133,000 to $186,100 USD.

About Databricks

Databricks is the data and AI company trusted by over 10,000 organizations worldwide. Headquartered in San Francisco, Databricks is founded by the creators of Lakehouse, Apache Spark, Delta Lake, and MLflow.

Key skills/competency

  • Product Management
  • Compute Platform
  • Cloud
  • Analytics
  • Data Platforms
  • Strategy
  • Roadmap
  • Cross-functional
  • Customer Engagement
  • Technical Acumen
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How to Get Hired at Databricks

🎯 Tips for Getting Hired

  • Research Databricks culture: Study mission, values, and employee feedback.
  • Customize your resume: Highlight cloud and product management skills.
  • Network on LinkedIn: Connect with current employees and recruiters.
  • Prepare for technical interviews: Demonstrate deep compute platform knowledge.
  • Practice communication: Showcase clear, data-driven storytelling.

📝 Interview Preparation Advice

Technical Preparation

Review cloud computing fundamentals.
Study data platform architectures.
Practice technical case studies.
Refresh compute infrastructure principles.

Behavioral Questions

Prepare leadership example stories.
Demonstrate strategic decision-making.
Share cross-team collaboration experiences.
Explain customer engagement examples.

Frequently Asked Questions