P-1356

As the Head of Product Ecosystem Operations, you will be responsible for evolving and executing Databricks’ next-generation Product Ecosystem strategy for ISVs and Data Providers. 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.

• 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. 

• 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.

• 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 on Twitter, LinkedIn and Facebook.BenefitsAt 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.