RDQ427R507
At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems by partnering with the ISVs that drive innovation across every line of business. We enable our partners to bring deep intelligence into the critical workflows their customers rely on every day, from delivering real-time CRM behavioral insights to optimizing complex HR workforce planning. We do this by building and running the world’s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their own missions.
Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 8,000 employees. Thousands of organizations, from small startups to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world and one of the top 5 move valuable private companies.
As the Partner Development Manager, Business Application Partnerships, you will be responsible for developing, managing, and scaling our global partner ecosystem that makes Databricks the best place to run data-and-AI-intensive workloads central to core enterprise Line of Business operations. You will build and own strategic partnerships with a set of top ISVs across CRM/CSM, HCM, Finance, ERP — building joint solutions, co-creating joint GTM plays, and helping our field and customers realize the value of combining Databricks with leading Business Application partners.
The impact you will have:
We are looking for someone who has previously managed Business Application ISVs at a hyperscaler or worked at a leading Business Application ISV. The role demands both technical and GTM acumen — able to work with Product and Engineering teams on integrations, as well as with Sales and Marketing teams on go-to-market execution. It is a fast-paced, cross-functional role requiring strong communication, prioritization, and presentation skills, and the ability to quickly context-switch between product, engineering, and field conversations. Success will require deep subject matter expertise in large-scale technology ecosystems, coupled with a scrappy, entrepreneurial spirit to build partnerships that establish Databricks as the best place to run Business Application workloads for years to come.
- Build and own comprehensive, end-to-end partnership business plans for a portfolio of top-tier ISVs, integrating GTM strategies, product innovation roadmaps, and marketing initiatives to deliver measurable business outcomes.
- Lead the end-to-end lifecycle of top ISV partnerships in the Business Applications category, from joint business planning to solution development and execution.
- Drive enablement and field readiness to ensure both Databricks and partner teams can effectively position and deliver these joint offerings.
- Serve as the internal voice of top partners in category, collaborating with Product, Sales, and Marketing leadership to influence our roadmap and ensure our strategy addresses the evolving needs of the Business Application landscape.
What we look for:
- 7+ years in product partnerships, business development, or partner management, including 5+ years focused on Business Applications or cloud ecosystems.
- Proven success launching ISV integrations and GTM motions in Business Applications with hyperscalers
- Deep understanding and network across Business Application ecosystems — CRM/CSM, HCM, Finance, ERP, and related workflows, and ability to develop joint value propositions that resonate with technical and business decision-makers alike.
- Strong cross-functional leadership skills — able to influence Product, Engineering, Sales, Marketing, and Business Operations teams.
- Experience navigating co-opetition dynamics and sensitive partner relationships.
- Excellent written, verbal, and presentation skills
- Grit, humility, and the ability to operate in a high-growth, founder-led environment.
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$178,800—$245,850 USD
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 2 Pay Range$161,000—$221,300 USD
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 3 Pay Range$152,000—$209,000 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 click here.
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.