Sr. Product Manager, Compute Platform

We are looking for a customer-obsessed, strategic, and action-oriented Sr. Product Manager for the Compute Platform. What's the Compute Platform? Simply, it's what powers Databricks workloads - providing customers many types of compute for different types of work - Classic Compute, SQL Warehouses, and Serverless Compute. This platform is mission-critical to many Databricks products and features.

This role will be highly cross-functional and deeply technical. It will require coordinating product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.

The impact you will have:

• 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.
• Continually improve efficiency and value for internal stakeholders and external customers though measured and strategic execution.
• Drive competitive differentiation and positioning between our compute platform and competitive SaaS and IaaS products.
• Collaborate with leadership to align product initiatives with business goals.
• Use data-driven insights to measure success, iterate, and improve user experience.

Do you have experience in Research?, * 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 practice.
• Experience working with engineers and designers to ship high-impact and cross-functional products.
• Exceptional communication and storytelling skills to inspire teams and stakeholders.
• Experience in working hand-in-hand 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(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.

Zone 2 Pay Range $148,800-$204,525 USD, At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started., Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.