<p>FEQ326R372</p> <p>While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. Please note, compensation listed below is for candidates residing and working out of our San Francisco area.  If you do not reside in the San Francisco area, please consult with the recruiter on the compensation range for your area. </p> <h2>Mission </h2> <p>As a Product Adoption Project Manager, you will lead design and execution for critical programs across Databricks Sales and Field Engineering. Partnering with Adoption Architects and cross-functional stakeholders in GTM, Product, and Operations, you will translate product and field priorities into actionable programs that drive key KPIs. You will manage end-to-end project delivery—clarifying outcomes, planning milestones, and ensuring timely execution—while applying project management best practices. Your ability to work through ambiguity, make informed decisions with incomplete data, and tailor your approach based on stakeholder dynamics will be essential. Success in this role also requires building strong relationships in a remote environment and adapting effectively to change. This position reports to the Senior Manager of Field Engineering Strategic Initiatives and is open to remote candidates in the US and Canada.</p> <h3>The Impact you will have:</h3> <ul> <li>Translate strategic priorities into actionable, measurable GTM programs.</li> <li>Align cross-functional teams around shared goals and core selling motions.</li> <li>Drive execution across GTM, R&amp;D, and Commercialization with clear workstreams and ownership.</li> <li>Integrate change management and risk mitigation into program delivery.</li> <li>Track KPIs and collaborate on measurement, reporting, and insights.</li> <li>Promote efficiency through standard cadences, process improvements, and reduced silos.</li> <li>Communicate progress and iterate based on stakeholder feedback and evolving needs.</li> </ul> <h3>What we look for:</h3> <ul> <li>3+ years of experience in program or product operations, project leadership, or GTM roles in high-growth tech environments.</li> <li>Proven ability to lead complex programs at scale in fast-paced, data-driven settings.</li> <li>Strong communication skills with a talent for simplifying complex topics for diverse audiences.</li> <li>Operational mindset with experience in system-level design and process improvement.</li> <li>Skilled in change management, stakeholder engagement, and remote collaboration.</li> <li>Familiarity with SaaS, technical sales, or similar GTM motions.</li> <li>Bachelors degree or PMP certification; quarterly travel.</li> </ul><div><div><div><p> </p> <p><strong>Pay Range Transparency</strong></p> <p><span>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>.<br /></span></p> <p> </p></div><div>Zone 1 Pay Range</div><div><span>$113,900</span><span>—</span><span>$159,425 USD</span></div></div></div><div><p><strong>About Databricks</strong></p> <p><span>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 <span><a href="https://twitter.com/databricks" target="_blank">Twitter</a>, <a href="https://www.linkedin.com/company/databricks" target="_blank">LinkedIn</a> <span>and</span> <a href="https://www.facebook.com/databricksinc" target="_blank">Facebook</a></span>.<br /><br /><strong>Benefits<br /><br /></strong></span>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>. <br /><br /></p> <p><strong>Our Commitment to Diversity and Inclusion</strong></p> <p>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.</p> <p><strong>Compliance</strong></p> <p><strong><span>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.</span></strong></p></div>