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As organizations strive to extract value from their data through analytics and AI initiatives, they find that the biggest challenge lies in ensuring the data that fuels these initiatives is trusted and of high quality. This is why data engineering, the practice of building reliable data pipelines that ingest and transform data, is a foundational pillar in the success of every data-related project. As the industry leader, Databricks has pioneered the Data Intelligence Platform to help customers solve the toughest challenges in data and AI and through its platform, offers industry-leading tools for data engineers to ingest, transform and orchestrate data for any analytics, BI or AI use case.
Databricks’ data engineering product portfolio is the largest driver of revenue for the company today and as a Product Marketing Manager for data engineering, you will join a team of product marketers whose work impacts every Databricks customer. Furthermore, as a member of the team you will have the unique opportunity to shape the future of data engineering by launching Lakeflow - the exciting next chapter of data engineering on Databricks. Your focus will be the data orchestration capabilities offered by Lakeflow and you will be the owner and expert with a deep understanding of the product, customers and competitors. In this role, you will own the strategy and execution of a product marketing plan and collaborate with product leaders, sales professionals and other marketers to build messaging, launch new products and build assets that tell Databricks’ data engineering story.
The impact you will have:
- Own the messaging for Databricks’ data orchestration capabilities and position Databricks as a differentiated leader in the data engineering space.
- Launch new data engineering products and features by working closely with product and engineering teams on the product roadmap.
- Define and execute a go-to-market strategy for data orchestration by enabling sellers and building collateral assets such as pitch decks and customer references.
- Drive demand by focusing on data engineering audience personas and working with campaign managers on programs that move prospects through the marketing funnel.
- Present at customer-facing events and virtual webinars.
What we look for:
- 3+ years of experience in product marketing at an enterprise software company preferably in the data and AI space
- Portfolio of impactful marketing content, sales enablement materials, customer evidence and a track record of creating successful marketing programs.
- Experience with cloud technologies is a must.
- Experience in data engineering, data science or analytics is an advantage.
- Experience presenting at conferences/seminars and customer engagements.
- Experience marketing technical products to technical buyers and practitioners.
- Preferred technical academic background (BS in computer science or a related discipline)
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents 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 utilizes 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
$120,400—$184,600 USD
Zone 2 Pay Range
$108,300—$166,100 USD
Zone 3 Pay Range
$102,200—$156,800 USD
Zone 4 Pay Range
$96,300—$147,700 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.
Top Skills
Databricks San Francisco, California, USA Office
160 Spear Street, San Francisco, CA, United States, 94105
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