FEQ425R108 This is a Tier 2 location US-remote role. Candidates are encouraged to apply anywhere within the US outside of the California and New York locations.  About Databricks Databricks is dedicated to helping data teams solve the world’s toughest problems by enabling data and AI innovation. Our success depends on our ability to foster a vibrant, engaged, and knowledgeable internal community that empowers subject matter experts (SMEs) to share, learn, and lead. Role Overview We are seeking a dynamic Program Lead to scale internal field engineering SME (Subject Matter Expert) groups. This role is pivotal in cultivating a collaborative environment where Databricks’ internal field engineering experts connect, share best practices, and drive innovation across the organization. You will own the strategy, execution, and continuous improvement of the SME and communities of specialization groups, ensuring alignment with Databricks’ business goals and fostering a culture of knowledge sharing and professional growth. The impact you will have: <ul> <li>Program Design &amp; Strategy: Develop and execute a comprehensive strategy for the internal SME and Communities of Specialization Program, including vision, objectives, governance, and success metrics.</li> <li>Community Building &amp; Engagement: Build and nurture a thriving expert community by fostering relationships, facilitating knowledge exchange, and creating opportunities for collaboration and recognition.</li> <li>Leadership &amp; Advocacy: Serve as the primary advocate for the groups, representing its interests to senior leadership and cross-functional teams while ensuring alignment with organizational priorities.</li> <li>Recognition &amp; Growth: Design and implement recognition and incentive programs to motivate SME participation and leadership within the community.</li> <li>Content &amp; Resource Management: Oversee the creation and curation of high-value content, playbooks, and resources to support SME development and community engagement.</li> <li>Cross-Functional Collaboration: Partner with teams such as Product, Engineering, Field Enablement, Marketing, etc to amplify the impact of the SME groups and integrate its insights into business processes.</li> <li>Measurement &amp; Reporting: Define KPIs and use data-driven approaches to measure engagement, and business impact. Provide regular updates and actionable insights to stakeholders.</li> </ul> What we look for: <ul> <li>Background in and deep familiarity with field engineering and technical pre-sales environments working for Data &amp; AI companies, or similar. </li> <li>Experience leading and scaling SME groups or community and knowledge-sharing programs, and practical experience with tooling and infrastructure to support scale.</li> <li>Demonstrated ability to engage, motivate, and grow expert groups, communities or ambassador programs.</li> <li>Strong project and program management skills, with a track record of delivering measurable outcomes.</li> <li>Exceptional communication, facilitation, and relationship-building abilities across all organizational levels.</li> <li>Experience working cross-functionally and influencing without authority in a matrixed, global environment.</li> <li>Data-driven mindset with proficiency in using analytics and reporting tools to assess program impact.</li> <li>Passion for fostering learning, innovation, and collaboration within technical teams.</li> <li>Bachelor’s technical degree required; advanced technical degree or relevant certifications a plus.</li> </ul><div><div><div>  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 <a href="https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.  </div><div>Zone 2 Pay Range</div><div>$138,400—$193,825 USD</div></div></div><div>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 <a href="https://twitter.com/databricks" target="_blank">Twitter</a>, <a href="https://www.linkedin.com/company/databricks" target="_blank">LinkedIn</a> and <a href="https://www.facebook.com/databricksinc" target="_blank">Facebook</a>. 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 <a href="https://www.mybenefitsnow.com/databricks">https://www.mybenefitsnow.com/databricks</a>.  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 Employers 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.</div>