Sr. Product Manager, Compute Platform

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Benefits Diversity Engineering Research Students & new grads Back to search results Sr. Product Manager, Compute Platform Seattle, Washington Apply now RDQ127R236 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. 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. What we look for: 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. For more information regarding which range your location is in visit our page here . Zone 2 Pay Range $145,400 — $199,850 USD About Databricks 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 .

Benefits At Databricks, we strive to provide comprehensive

benefits and

perks that meet the needs of all of our employees. For specific details on the

benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and 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, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Why Databricks Discover For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Why Databricks Discover For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Product Databricks Platform Platform Overview Sharing Governance Artificial Intelligence Business Intelligence Database Data Management Data Warehousing Data Engineering Data Science Application Development Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Product Databricks Platform Platform Overview Sharing Governance Artificial Intelligence Business Intelligence Database Data Management Data Warehousing Data Engineering Data Science Application Development Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions Cybersecurity Marketing Data Migration Professional Services Solution Accelerators Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions Cybersecurity Marketing Data Migration Professional Services Solution Accelerators Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog Databricks AI Research Blog Data Brew Podcast Champions of Data & AI Podcast Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog Databricks AI Research Blog Data Brew Podcast Champions of Data & AI Podcast About Company

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