<p><em>RDQ126R117; This role can be office based or remotely anywhere in the US. </em></p> <p>Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Founded by the original creators of Apache SparkTM, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL an interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership.</p> <p>More about the team:</p> <p>The Product Partnerships team is part of the Product organization and responsible for building and managing our technology and Data Provider ecosystem. The work we do seamlessly extends our product capabilities through partner integrations so our customers can focus on outcomes versus knitting systems together. As such, we are considered an extension of the product team. </p> <p>The team comprises Business Development personnel responsible for initiating, incubating and managing partnerships, and Partner Solution Architects responsible for helping partners with technical integrations. Our roles require significant interaction with the field and our customers, as well with Databricks product leaders to help shape our product roadmap. We are also considered thought leaders within the company on the broader ecosystem. </p> <p>As a Unified Analytics Platform, a thriving partner ecosystem is foundational to Databricks growth strategy. Additionally, with the launch of Delta Sharing, Data Provider partnerships have become a high priority for company leadership to establish it as an accepted standard.</p> <p><strong>The impact you will have: </strong></p> <ul> <li>GTM plan for each of your managed partners, and maintain a qualitative/quantitative scorecard for each - Partners know exactly where they stand, and what they need to do to achieve Manage, and grow, a portfolio of ISV partners in one or multiple categories  (i.e., Data Integration, BI, ML/AI, Governance, Developer Tools) </li> <li>Demonstrate  a level of expertise and thought leadership to work credibly with our Product Management teams on partner and ecosystem strategy in relevant segments</li> <li>Demonstrated success in working effectively with partners and our field sales teams to close deals with customers</li> <li>Manage partners on a clear path to joining our MDF program and being in Databricks Partner Connect</li> </ul> <p><strong>What we look for:</strong></p> <ul> <li>Strong empathy for customers and partners. We will look for a proven track record of building successful partnerships. Someone who moves the needle in those relationships and drives impact, rather than “minding the shop”</li> <li>Prior experience working and building category partners is required (5-7 years), including an understanding of their sales cycles and GTM motion</li> <li>Clear verbal and written communication skills</li> <li>A technical background is preferred (e.g, Bachelor’s in CS/Engineering, or early professional experience in a technical role)</li> <li>Knowledge of the Data &amp; AI software ecosystem and cloud technologies is a strong plus.</li> </ul> <p> </p><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>$163,600</span><span>—</span><span>$229,075 USD</span></div></div><div><div>Zone 2 Pay Range</div><div><span>$147,300</span><span>—</span><span>$206,175 USD</span></div></div><div><div>Zone 3 Pay Range</div><div><span>$139,100</span><span>—</span><span>$194,825 USD</span></div></div><div><div>Zone 4 Pay Range</div><div><span>$130,900</span><span>—</span><span>$183,325 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>