Req ID: MKTQ225R8
While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.
As one of the fastest growing and innovative technology companies in the world, Databricks was founded to solve the world’s toughest challenges through the Lakehouse - the world’s most complete and capable architecture for organizations to analyze the past, act on the present, and predict the future through data, analytics, and AI. In combining the Lakehouse with native generative AI, Databricks now offers the world’s first Data Intelligence Platform - democratizing the power of AI and data across an organization.
In this newly created position of platform product marketing manager (PMM), you will lead the marketing of the Databricks Data Intelligence Platform. This will include owning how we message Databricks offerings on specific cloud platforms (AWS, Azure, and GCP) and how we message our cross-platform capabilities, such as serverless, disaster recovery, and billing. This is a critical role for the business and you will be the subject matter expert for all things platform marketing. You will be the leader owning the messaging and guiding the content and GTM across all aspects of platform marketing, through sales, partner, and marketing teams, and helping drive the awareness and adoption of the Databricks Data Intelligence Platform.
Ideal candidates will have a proven record in product marketing and experience working on technical products. You would have a strong understanding of Data & AI platform offerings, have worked on creating messaging and positioning of technical products targeted at the enterprise market, and can build strong working relationships with stakeholders to deliver joint messaging and GTM plans.
The impact you will have:
- Own the messaging of Databricks on each of the cloud platforms (AWS, Azure, and GCP), as well as the messaging for platform-wide capabilities, such as serverless, disaster recovery, and billing
- Partner with the product marketing teams at cloud partners (Azure, AWS, and GCP) as you develop the platform messaging specific to each cloud
- Amplify the platform-level messaging through Databricks own website and channels, as well as through cloud partners’ webpages
- Land the platform-level sales enablement content and deliver high CSAT scores with field teams
- Be the expert when it comes to any platform-specific platform messaging for any campaign or event Databricks is running, and enable teams with highly performant content to drive strong engagement and pipeline
- Work with partner marketing teams at Databricks to coordinate our messaging at sponsored cloud events, such as Microsoft Ignite and AWS Re:invent
- Participate in joint business reviews with sales and partner teams, understand gaps where platform marketing can help, and execute to drive a stronger impact
- Deliver 10 customer customer stories through the first year, highlighting the Databricks Platform capabilities
What we look for:
- 7+ years of product marketing experience at an enterprise software company, preferably including PMM experience at cloud vendors (Azure, AWS, or GCP)
- Strong understanding of Data, analytics, and/or AI space
- Experience building technical marketing content
- Experience working with sales teams (field marketing, enablement)
- Experience working with partners (SI and/or ISVs)
- 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.
Top Skills
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.
