Sr. Program Manager, Data for Good

Skip to main content Overview Culture Benefits Diversity Engineering Research Students & new grads Back to search results Sr. Program Manager, Data for Good San Francisco, California RDQ427R179 Are you a mission-driven leader with a passion for how data and AI can play a meaningful role in addressing global challenges? Do you enjoy shaping narratives, building programs, and translating complex work into stories that inspire action? As the Lead for Databricks for Good, you will own Databricks’ social impact initiative end to end. You will work closely with Databricks teams and with nonprofits, universities, and public-interest organizations to design and scale programs that apply data and AI to real-world challenges. You will set the vision for Databricks for Good and ensure it delivers real, lasting impact, while clearly articulating how that impact is created and why it matters. About Databricks for Good At Databricks, we believe data and AI can be a force for positive change. Databricks for Good exists to ensure our platform empowers organizations working on humanity’s most pressing challenges, including responding to crises, advancing education, improving health outcomes, and accelerating climate action. This role is an opportunity to define and lead that mission and shape how Databricks shows up in the world through meaningful, real-world impact. What you’ll do Your responsibilities will span program design and management, storytelling, and owning execution across Databricks and its partners. Build and lead Databricks for Good from the ground up, defining its mission, success metrics, execution strategy, and long-term vision. Design and run high-impact programs such as social impact partnerships, hackathons, student and university initiatives, and nonprofit enablement programs. Serve as a public-facing representative for Databricks for Good by hosting events, delivering talks, moderating panels, and representing Databricks in global social impact forums. Own the partnership funnel for Databricks for Good technical engagements, with the goal of helping nonprofits apply Databricks to real-world challenges. Create compelling content - case studies, talks, blogs, and learning resources - that highlight how data and AI can be used for social good. Work cross-functionally with Field Engineering, Developer Relations, Marketing, Legal, and Sales to ensure social impact initiatives are scalable, technically sound, and aligned with company priorities. Act as a trusted internal advisor on social impact use cases, helping teams understand the needs, constraints, and operating realities of mission-driven organizations. Gather feedback from both internal and external collaborators to continuously improve programs and inform program direction. The impact you will have Establish Databricks for Good as a credible, respected, and scalable social impact initiative throughout the tech industry. Enable nonprofits, universities, and public-sector organizations to unlock insights and outcomes that are uniquely possible with data and AI. Build durable partnerships that align Databricks’ strengths with real-world societal needs. Inspire employees, customers, and students to contribute their skills toward meaningful causes. Influence how Databricks technologies are used, taught, and evolved for public good. Help define what “data and AI for good” looks like at enterprise scale. What we look for 7+ years of experience in social impact programs, developer relations, partnerships, technical program management, or a related field. Proven ability to build and scale programs from zero to one, with ownership over strategy, execution, and outcomes. Experience working with nonprofits, universities, NGOs, public-sector institutions, or mission-driven organizations. High-level technical understanding of Databricks’ product-market fit, enabling robust direction of partnerships and engagement selection. Exceptional communication and storytelling skills, with comfort presenting to both technical and non-technical audiences. Demonstrated ability to convene communities and stakeholders across sectors and geographies. High empathy, strong judgment, and the ability to navigate ambiguity while driving clarity and momentum. A collaborative mindset and a track record of working cross-functionally to turn ideas into execution. 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 1 Pay Range $113,900 — $159,425 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 . 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. 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