RDQ327R43

As the Head of Industry & Apps Partnerships, you will be responsible for building and scaling Databricks’ global ecosystem of industry and business application partners. This key role, reporting to the SVP of Product Ecosystem, will lead a team of partner and category managers focused on ensuring every Databricks customer can seamlessly access any dataset, tool, or model from leading Systems-of-Record ISVs (e.g., Salesforce, Service Now, Workday) and top data providers across industries, including Financial Services (e.g., Bloomberg, LSEG, S&P Global), Healthcare & Life Sciences (e.g., IQVIA, Epic, Veeva), Ad Tech (e.g., The Trade Desk, Epsilon, Acxiom), and Retail/E-Commerce (e.g., Circana, Adobe).

We are looking for someone who has “seen the movie” — someone who has built and scaled partnerships with these companies at a hyperscaler, leading data platform, or major enterprise ISV — and can translate that experience into long-term, mutually beneficial relationships with these companies. The role demands a mix of technical, business development, and GTM acumen: able to work with Product and Engineering teams to shape integrations and Built-On Databricks solutions, and with Sales and Marketing to activate joint GTM plays that drive measurable impact.

You will also be responsible for prioritizing which ISVs and data providers to partner with based on customer demand, size of opportunity, and Databricks’ ability to create differentiated value together. Success will require deep knowledge of large-scale technology ecosystems, a data-driven approach to partnership decisions, and an entrepreneurial drive to make Databricks the platform where every customer’s most important data and applications come together seamlessly.

The impact you will have:

• Define and execute Databricks’ Industry & Apps partnership strategy, including segmentation, prioritization, and success metrics across Systems-of-Record ISVs and Vertical ISVs/data providers.

• Lead and develop a global team of partner and category managers driving partnerships with top ISVs and data providers across System of Record, Financial Services, Healthcare & Life Sciences, Ad Tech, Retail/E-Commerce, Manufacturing, and other industries.

• Own executive and working-level relationships with leading ISVs (e.g., Salesforce, Service Now, Workday, Epic, Veeva, The Trade Desk, Bloomberg, LSEG, S&P Global) to drive integrations, Built-On solutions, and joint field execution.

• Partner with Product and Engineering to design, validate, and launch integrations that make it seamless for customers to use their preferred data, tools, and models within Databricks.

• Prioritize partnerships based on customer demand, size of opportunity, and Databricks’ ability to create differentiated value together.

• Develop joint value propositions and scalable GTM plays with ISVs and data providers that resonate with both technical and business decision-makers across industries.

• Collaborate with Sales and Marketing leadership to design and land co-sell plays, enablement programs, and co-marketing campaigns that drive measurable partner-attributed pipeline.

• Represent Databricks externally at industry events, partner summits, and executive briefings, evangelizing the Databricks ecosystem vision.

• Advocate internally for partner and customer needs, influencing product roadmaps, data-sharing strategy, and marketplace initiatives.

What we look for:

• 10+ years in product partnerships, business development, or partner management, including experience leading ISV ecosystems at a hyperscaler, leading data platform, or major enterprise ISV.

• Proven success building and scaling industry or application partnerships that deliver measurable partner-sourced or partner-influenced revenue.

• Deep understanding and network across vertical ISVs and data providers in Financial Services, Healthcare & Life Sciences, Ad Tech, Retail/E-Commerce, and/or Manufacturing.

• Experience partnering with Systems-of-Record ISVs such as Salesforce, Service Now, Workday, and SAP — with the ability to develop joint value propositions that resonate with their buyers.

• Strong cross-functional leadership — able to influence Product, Engineering, Sales, and Marketing teams to drive integrations and GTM execution.

• Demonstrated ability to prioritize opportunities using data-driven frameworks and customer insights.

• Excellent written, verbal, and presentation skills — able to communicate with clarity to executive and C-level audiences.

• Strategic mindset with commercial and technical fluency — comfortable navigating data, analytics, and AI ecosystems.

• Grit, humility, and the ability to thrive in a high-growth, founder-led environment.

• Bachelor’s degree in Business, Computer Science, or related field; or equivalent practical experience.

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
$226,400—$317,000 USD

Zone 2 Pay Range
$203,800—$285,325 USD

Zone 3 Pay Range
$192,500—$269,450 USD

Zone 4 Pay Range
$181,100—$253,550 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 1 Pay Range
$226,400—$317,000 USD

Zone 2 Pay Range
$203,800—$285,325 USD

Zone 3 Pay Range
$192,500—$269,450 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, 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.