Partner Development Representative - SAP

Databricks is at the leading edge of the Unified Data Analytics field, where innovation is key to providing our clients with a competitive edge in today's fast-paced business landscape.

As a Partner Development Representative (PDR) focused on SAP at Databricks, you will be at the forefront of one of our most strategic alliances. This is a first-of-its-kind role, dedicated entirely to building and scaling the Databricks + SAP partnership across APJ.

Your mission is to evangelize, operationalize, and accelerate the Databricks + SAP opportunity. You’ll serve as the connective tissue between internal teams and customer SAP stakeholders, enabling collaboration, driving aligned messaging, and supporting pipeline acceleration. Expect high impact, visibility, and a steep but rewarding learning curve.

Reporting to the Director of Sales Development APJ and executing as part of the SAP + Databricks specialist team, you'll play a pivotal role in this historic Databricks partnership.

The impact you will have:

• Champion the combined SAP + Databricks value proposition for sales and customer conversations

• Lead and support strategic initiatives including SAP field enablement, internal awareness, and marketing activations.

• Be a visible SAP point of contact within Databricks and a key voice in the SAP field community

• Help position Databricks in SAP-centric GTM motions and playbooks

• Own and manage all SAP-related opportunity tracking, partner tagging, and top of funnel pipeline hygiene processes

• Collaborate with Databricks Partner Ecosystem for joint GTM prospecting

• Collaborate with cross-functional stakeholders including sales, marketing, ops, alliances, and product

What we look for:

• 2+ years of experience in partner development, business development, or pipeline operations within a B2B tech company

• Good understanding of SAP's ecosystem, technology landscape, and enterprise customer base

• Strong ability to manage processes, drive pipeline discipline, and operate with rigor across systems like Salesforce.

• Excellent communication skills and stakeholder management across both internal teams and external partners.

• Strategic, adaptable, and entrepreneurial mindset with the ability to operate in a high-growth environment

• A passion for Data & AI, and a desire to help enterprise customers unlock business value through innovation

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 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.