MKTQ426R1
Databricks is one of the fastest-growing and most innovative technology companies in the world. We were founded to solve the world's toughest challenges with the Lakehouse, a unified architecture for data, analytics, and AI. By combining the Lakehouse with native generative AI, we now deliver the world's first Data Intelligence Platform, making AI and data accessible across every organization.
In this role at Databricks, you will help lead the marketing strategy for Databricks SQL, our cloud-scale, intelligent data warehouse. You will own how we position, message, and drive adoption of DBSQL as the modern alternative to legacy data warehouses, and as the best foundation for AI-powered analytics and BI. This is an important role for the business, where you will become a key go-to-market voice on all things data warehousing. You will help shape the messaging and support go-to-market efforts across sales, partner, and marketing teams, contributing to awareness, differentiation, and customer adoption.
Ideal candidates will have a proven record in product marketing and experience working on technical products. You should have a strong understanding of data and AI platforms or data warehousing technologies, experience creating compelling messaging and positioning for enterprise buyers, and the ability to work cross-functionally to deliver unified GTM strategies and execution plans. We also welcome candidates with a background in management consulting who have led go-to-market or product strategy work on technical projects and are eager to transition into a hands-on product marketing role.
The impact you will have:
- Own the marketing strategy for Databricks SQL, from positioning and packaging to sales enablement and adoption strategies
- Define messaging and value propositions that resonate with data engineers, architects, and analysts, and clearly differentiate DBSQL in a crowded market
- Lead product launches, pricing updates, and new feature rollouts to drive market awareness, competitive positioning, and customer usage
- Partner with product to influence roadmap and ensure GTM alignment with customer needs and business goals
- Develop and execute integrated GTM programs with field, campaign, and partner teams to drive pipeline and accelerate product adoption
- Deliver high-impact enablement to sales and technical field teams, with clear guidance on how to position, demo, and land the value of DBSQL
- Build and maintain a steady stream of customer evidence and proof points that reinforce DBSQL’s value and differentiation
- Act as the internal and external voice of DBSQL, supporting briefings, field events, and analyst engagements
What we look for:
- 7+ years of product marketing experience at an enterprise software company, ideally in the data, cloud, or analytics space
- Candidates with a management consulting background and a strong track record of translating technical complexity into business value are encouraged to apply
- Track record of owning and executing go-to-market strategies that drive measurable product adoption and business impact
- Deep understanding of data warehousing, query engines, or modern data and AI platform technologies
- Experience developing and scaling positioning and messaging for technical buyers, with a portfolio of content that spans launches, sales assets, and thought leadership
- Skilled at collaborating with product and engineering to shape roadmap inputs and align GTM strategy to customer needs
- Proven ability to partner with sales, technical field teams, and demand gen to drive adoption and expansion across the funnel
- Excellent communicator with the ability to simplify technical concepts for both practitioner and executive audiences
- Strong cross-functional leadership and influence skills
- Preferred technical academic background (BS in computer science or related discipline), coupled with MBA
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 base 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 anticipated 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 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.
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Equity Value & Accessibility — Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
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Healthcare Strength — Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
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Parental & Family Support — Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.
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What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
