.png)
RDQ427R146
At Databricks, we are building the platform for the next generation of AI-built applications, where developers can go from idea to production using AI coding agents and app-building platforms. We partner with the leading tools developers use to generate, build, and deploy applications, connecting them directly to Databricks data, AI, and application infrastructure. With Databricks Apps and Lakebase, developers can build with their preferred code-gen tools and deploy secure, data-driven applications directly on Databricks. These partnerships are critical to making Databricks a core platform for the rapidly growing ecosystem of AI-generated applications.
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.
More about the TeamAs the Sr. Technology Partner Director, AI Code-gen & Apps, you will be responsible for recruiting, developing, managing, and scaling our global partner ecosystem that makes Databricks the best place to build and run AI-generated applications. You will build and own strategic partnerships with leading AI coding agents, app builders, and developer platforms, creating deep product integrations, joint solutions, and GTM plays that connect these ecosystems to Databricks Apps, Lakebase, and the broader Databricks platform.
We are looking for someone with experience building and scaling strategic partnerships across AI code-gen, app-building, or developer tool ecosystems, with a strong track record of driving product integrations, joint GTM, and partner-led growth. The role requires strong technical and GTM acumen, with the ability to work across Product, Engineering, Sales, and Marketing to drive integrations, joint solutions, and go-to-market execution. Success requires deep expertise in large-scale technology ecosystems, strong communication and prioritization skills, and a scrappy, entrepreneurial mindset to build partnerships that establish Databricks as the best place to run transactional database workloads.
The impact you will have- Build and own partnership strategies for a portfolio of leading AI coding agents and app builders, spanning product integrations, joint solutions, GTM, and marketing initiatives that drive measurable customer adoption and business impact.
- Lead strategic partnerships from opportunity identification and joint product planning through launch and scale, working closely with Product, Engineering, Sales, and Marketing to bring integrations to market and drive adoption.
- 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 Developer Tooling & Database Ecosystem landscape.
- 7+ years of experience in product partnerships, business development, or partner management, including 3+ years working across AI code-gen, app-building, or developer tool ecosystems.
- Proven track record of launching strategic ISV integrations and joint GTM motions with leading developer platforms, AI code-gen companies, or hyperscalers.
- Deep understanding and network across Developer Tool & Database ecosystem — Postgres (big plus), Developer Marketplaces, next-gen Platform-as-a-Services, AI Coding, and CI/CD 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.
**Most of all, we look for relentless problem solvers and will consider candidates with non-traditional backgrounds.
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.
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.
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.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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.
Databricks San Francisco, California, USA Office
160 Spear Street, San Francisco, CA, United States, 94105
Databricks Mountain View, California, USA Office
351 E Evelyn Ave Mountain View, CA USA, Mountain View, United States, 94041
Similar Jobs
.png)
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
