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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 \* 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 EditionLearn professional Data and AI 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See how. [/university] - Events \* Data + AI Summit [https://www.databricks.com/dataaisummit] - Data + AI World Tour [/dataaisummit/worldtour] - Data Intelligence Days [/lp/data-intelligence-days] - Event Calendar [/events] - Blog and Podcasts \* Databricks BlogExplore news, product announcements, and more [/blog] - Databricks Mosaic Research BlogDiscover the latest in our Gen AI research [/blog/category/generative-ai/mosaic-research] - Data Brew PodcastLet’s talk data! 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You will be the “right hand” of the SVP, Product Ecosystem & Partnerships, working across both external (partners and customers) and internal (partner management, product, engineering, sales, marketing) stakeholders to gather input and define/continuously refine our next-generation Product Ecosystem strategy, including the end-to-end experience for ISVs and Data Providers across the co-build, co-market, and co-sell flywheel, develop scalable programs to enable our global field organization, build and operate a “scale managed” program to efficiently onboard, validate, and grow the long-tail of partners, and manage/grow the team(s) responsible for operating our Marketplace onboarding, support, and operations. This job is fast-paced, cross-functional, and requires strong communication, prioritization, organization, and presentation skills. You must have deep subject matter expertise in large-scale technology ecosystems, backed by at least a decade of experience of ecosystem development for fast-growing technology platform companies (ideally the hyperscalers). You also must be able to quickly change contexts and go toe-to-toe with the world’s sharpest product, engineering, and GTM stakeholders. And, you’ll do all of this with a scrappy and entrepreneurial spirit, as we optimize toward lean builders who can deliver high-quality programs that our business will depend on for decades. THE IMPACT YOU WILL HAVE: - Develop and execute the next-generation Product Ecosystem strategy for ISVs and Data Providers, aligning with Databricks' mission and long-range plan. - Collaborate cross-functionally with partner management, product, engineering, sales, and marketing teams to set, refine, and execute strategy. - Design and implement scalable enablement programs to educate and empower the multi-thousand-person field team on ecosystem initiatives. - Build and operate a "scale managed" program to efficiently onboard and validate a broad range of partners, ensuring we never compromise quality for customers. - Manage teams responsible for Product Ecosystem programs, including partner onboarding and Marketplace Operations, ensuring operational excellence. - Analyze and synthesize data from various sources, such as customer and partner feedback, product usage, and adoption metrics, to inform decision-making. - Build and maintain user-friendly systems, reports, and dashboards to surface key metrics and trends to stakeholders. - Influence product and engineering decisions by providing data-driven insights and qualitative analysis to enhance the customer experience. - Track and communicate the measurement of key results for annual objectives, tracking progress, and aligning stakeholders. - Be the “right hand” of SVP, Product Ecosystem & Partnerships to scale thought leadership and execution across Databricks and the ecosystem. WHAT WE LOOK FOR: - 10+ years of experience in ecosystem development or product operations within fast-growing technology platform companies, preferably hyperscalers. - Proven track record of developing and executing large-scale ecosystem strategies and programs. - Strong analytical skills, with proficiency in developing first-principles and data-driven business cases and strategic plans using a variety of tools (e.g., Excel, Sheets, LLMs). - Experience with data visualization tools, such as Tableau, Salesforce, PowerBI, or Data Studio. - Excellent communication and presentation skills, capable of distilling complex analyses into clear messaging for executives and stakeholders. - Experience working with customer-facing support systems, including in-app help centers, customer case & form submission flows, and self-help features. - Demonstrated ability to lead update syncs and familiarity with Agile/Scrum methodologies and tools like JIRA. - Entrepreneurial, "can-do" attitude, with the ability to make an impact in a start-up environment and adapt to changing contexts. - Bachelor’s degree in Computer Science, Engineering, or a related field; or equivalent practical experience. \*\*Most of all, we look for relentless problem solvers and will consider candidates with non-traditional backgrounds. BENEFITS - Comprehensive health coverage including medical, dental, and vision - 401(k) Plan - Equity awards - Flexible time off - Paid parental leave - Family Planning - Gym reimbursement - Annual personal development fund - Employee Assistance Program (EAP) 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 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. 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. 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