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[/] _ Why Databricks _ _ Discover _ For Executives [/why-databricks/executives] - For Startups [/product/startups] - Lakehouse Architecture [/product/data-lakehouse] - Mosaic Research [/research/mosaic] - Customers \* Customer Stories [/customers] - Partners \* Cloud ProvidersDatabricks on AWS, Azure, GCP, and SAP [/company/partners/cloud-partners] - Consulting & System IntegratorsExperts to build, deploy and migrate to Databricks [/company/partners/consulting-and-si] - Technology PartnersConnect your existing tools to your Lakehouse [/company/partners/technology-partner-program] - C&SI Partner ProgramBuild, deploy or migrate to the Lakehouse [/company/partners/consulting-and-si/candsi-partner-program] - Data PartnersAccess the ecosystem of data consumers [/company/partners/data-partner-program] - Partner SolutionsFind custom industry and migration solutions [/company/partners/consulting-and-si/partner-solutions] - Built on DatabricksBuild, market and grow your business [/company/partners/built-on-partner-program] - Product _ _ Databricks Platform \* Platform OverviewA unified platform for data, analytics and AI [/product/data-intelligence-platform] - Data ManagementData reliability, security and performance [/product/delta-lake-on-databricks] - SharingAn open, secure, zero-copy sharing for all data [/product/delta-sharing] - Data WarehousingServerless data warehouse for SQL analytics [/product/databricks-sql] - GovernanceUnified governance for all data, analytics and AI assets [/product/unity-catalog] - Data EngineeringETL and orchestration for batch and streaming data [/product/data-engineering] - Artificial IntelligenceBuild and deploy ML and GenAI applications [/product/artificial-intelligence] - Data ScienceCollaborative data science at scale [/product/data-science] - Business IntelligenceIntelligent analytics for real-world data [https://www.databricks.com/product/business-intelligence] - Application DevelopmentQuickly build secure data and AI apps [/product/databricks-apps] - DatabasePostgres for data apps and AI agents [/product/lakebase] - Integrations and Data \* MarketplaceOpen marketplace for data, analytics and AI [/product/marketplace] - IDE IntegrationsBuild on the Lakehouse in your favorite IDE [/product/data-science/ide-integrations] - Partner ConnectDiscover and integrate with the Databricks ecosystem [/partnerconnect] - Pricing \* Databricks PricingExplore product pricing, DBUs and more [/product/pricing] - Cost CalculatorEstimate your compute costs on any cloud [/product/pricing/product-pricing/instance-types] - Open Source \* Open Source TechnologiesLearn more about the innovations behind the platform [/product/open-source] - Solutions _ _ Databricks for Industries \* Communications [/solutions/industries/communications] - Media and Entertainment [/solutions/industries/media-and-entertainment] - Financial Services [/solutions/industries/financial-services] - Public Sector [/solutions/industries/public-sector] - Healthcare & Life Sciences [/solutions/industries/healthcare-and-life-sciences] - Retail [/solutions/industries/retail-industry-solutions] - Manufacturing [/solutions/industries/manufacturing-industry-solutions] - See All Industries [/solutions] - Cross Industry Solutions \* AI Agents [/solutions/ai-agents] - Cybersecurity [/solutions/industries/cybersecurity] - Marketing [/solutions/industries/marketing] - Migration & Deployment \* Data Migration [/solutions/migration] - Professional Services [/professional-services] - Solution Accelerators \* Explore AcceleratorsMove faster toward outcomes that matter [/solutions/accelerators] - Resources _ _ Learning \* TrainingDiscover curriculum tailored to your needs [https://www.databricks.com/learn/training/home] - Databricks AcademySign in to the Databricks learning platform [https://www.databricks.com/learn/training/login] - CertificationGain recognition and differentiation [https://www.databricks.com/learn/training/certification] - Free 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STAFF IT PRODUCT MANAGER - AUTOMATION Mountain View, California; San Francisco, CaliforniaApply now GAQ426R265 Location: San Francisco, CA or Mountain View, CA At Databricks Information Technology, we are a product led organization transforming the way we work from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in face of incredible growth. Databricks is seeking a dynamic Staff IT Product Manager to lead end-to-end process automation across all business functions, spanning Quote to Revenue, Finance, and Go-to-Market (GTM) systems. The successful candidate will drive the analysis, design, and implementation of automation solutions to maximize operational efficiency and productivity throughout the organization. By minimizing manual touches and reimagining critical workflows, you will enable Databricks to scale and optimize processes from quoting and sales through revenue recognition and financial reporting. This role requires a deep understanding of cross-functional business processes and expertise in automation technologies and tools, as well as the ability to collaborate closely with leadership and business partners across sales, finance, and GTM operations. You will report to the VP of IT Product Management & Automation and play a key role in driving continuous improvement and digital transformation company-wide. The impact you will have: - Define vision and strategy: Set the long-term vision and strategy for automation products, ensuring they align with broader company goals. This includes identifying opportunities where AI and ML can provide a significant competitive advantage. - Create product roadmap: Develop and manage a strategic product roadmap that balances short-term needs with long-term objectives for the automation platform. - Lead without authority: Significantly influence the overall product roadmap and strategy through deep domain expertise and strong communication, rather than direct management of product teams. - Operational Efficiency: Streamline workflows, eliminate manual tasks, and optimize processes utilizing Databricks and AI. By automating repetitive and time-consuming tasks, you enhance operational efficiency, reduce costs, and increase productivity. - Scalability: Allow for the Databricks to scale in the sales, revenue operations, accounting and people function without proportional increases in resources. Your ability to design and implement scalable automation solutions enables companies to handle growing volumes of work efficiently and effectively. - Quality and Accuracy: Automation reduces the risk of errors and improves the accuracy of processes. By implementing automated workflows, you ensure consistency, reliability, and adherence to business rules and standards, thereby enhancing the quality data and reducing the need for manual reconciliations. - Cross-Functional Collaboration: Partner with stakeholders across finance, accounting, and GTM to identify pain points, gather requirements, and deliver end-to-end automation solutions that align with key business objectives - Innovation: Process automation is a catalyst for innovation within organizations. Your ability to identify opportunities for automation, leverage emerging technologies, and implement innovative solutions drives continuous improvement and fosters a culture of innovation. - Next Generation Leader: Drive creation and innovation of the next generation of Business workflows with a dedicated focus towards development of Agentic AI solutioning. What we look for: - 7+ years of relevant experience as a product engineer in IT automation, focused on designing, developing, and optimizing automated solutions, with a bachelor’s degree; or 3 years with a master’s degree; or a PhD in a related field; or equivalent work experience. - Demonstrated success in leading end-to-end automation initiatives, delivering measurable improvements in efficiency and scalability. - Deep understanding of business processes, expertise in analyzing, designing, and implementing automation at scale, and a strong technical background with practical experience in modern automation tools, process mining, and AI-based automation technologies. - Ability to identify exponential opportunities: Should be able to look at current, manual processes and identify where "extreme automation" using AI, machine learning, and advanced orchestration can create exponential rather than incremental efficiency gains. - Systems thinking: Map out complex, interdependent workflows and understand how automating one part will affect the entire system. Their vision must be holistic, considering how automated systems will create a cohesive, streamlined experience for end-users. - Excellent communication, collaboration, and stakeholder management skills, able to partner effectively with technical and non-technical teams at all levels. Exceptional analytical and problem-solving capabilities, with the ability to translate business requirements into robust technical solutions and drive continued improvements. - Proven ability to multitask and thrive in a fast-paced, dynamic environment while managing multiple automation projects concurrently. - Robust experience working with Agile/Scrum teams, serving as a Product Owner, and strong data and metric-driven decision-making skills to support recommendations and drive action. 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 [https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf]. Zone 1 Pay Range$189,600—$265,425 USDAbout 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 onTwitter [https://twitter.com/databricks],LinkedIn [https://www.linkedin.com/company/databricks]andFacebook [https://www.facebook.com/databricksinc]. 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 visithttps://www.mybenefitsnow.com/databricks [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. 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