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At Databricks, Lakebase and Databricks Apps enable teams to build data-native applications where transactional data, analytics, and AI operate on the same platform. Lakebase provides a managed Postgres transactional layer for application state and operational workloads, while Databricks Apps supports building and deploying secure applications that run close to governed data and models.
This role reports to the Senior Director of Product Marketing and works closely with product, engineering, and field teams.
In this role, you will own Lakebase product marketing for application developers and database owners, with a focus on Postgres-backed transactional workflows and data-native applications that combine operational data, analytics, and AI. This is a critical role for the business and you will be the subject matter expert on database marketing. You will be the leader owning the messaging and guiding the content and GTM across all aspects of database 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:
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Own the messaging of Lakebase and clearly articulate its value for operational, analytical, and AI workloads
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Develop and evolve use-case driven messaging for application developers and database owners, aligned with the broader Databricks Data Intelligence Platform narrative
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Amplify messaging through Databricks own website and channels, as well as through partners’ webpages
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Land sales enablement content and deliver high CSAT scores with field teams
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Be the expert when it comes to any database messaging for any campaign or event Databricks is running, and enable teams with highly performant content to drive strong engagement and pipeline
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Work with partner marketing teams at Databricks to coordinate our messaging at sponsored cloud events, such as Microsoft Ignite and AWS re:invent
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Participate in joint business reviews with sales and partner teams, understand gaps where Lakebase marketing can help, and execute to drive a stronger impact
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Deliver customer stories and proof points that demonstrate real-world Lakebase adoption and impact
What we look for:
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5+ years of product marketing experience at an enterprise software company, preferably including PMM experience in marketing cloud databases
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Strong understanding of databases, analytics, and/or AI space
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Experience building marketing content for technical personas
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Experience working with sales teams (field marketing, enablement)
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Experience working with partners (SI and/or ISVs)
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Preferred technical academic background (BS in computer science or related discipline) or experience, 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.
Zone 1 Pay Range**$163,400—$224,750 USDZone 2 Pay Range$147,100—$202,300 USDZone 3 Pay Range$139,000—$191,050 USDZone 4 Pay Range$130,700—$179,750 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.
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About Databricks

Databricks
Series IDatabricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.
6,000+
Employees
San Francisco
Headquarters
$43B
Valuation
Reviews
4.2
9 reviews
Work Life Balance
3.5
Compensation
4.7
Culture
4.3
Career
4.5
Management
4.0
86%
Recommend to a Friend
Pros
Working on industry-leading data and AI platform
Excellent compensation with high equity upside
Strong engineering culture with Apache Spark creators
Cons
High intensity work environment with demanding deadlines
Work-life balance can suffer during key releases
Growing pains as company scales rapidly
Salary Ranges
25 data points
Mid/L4
Senior/L5
Mid/L4 · Corporate Development Manager
1 reports
$171,004
total / year
Base
$148,699
Stock
-
Bonus
-
$171,004
$171,004
Interview Experience
9 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Offer Rate
22%
Experience
Positive 22%
Neutral 67%
Negative 11%
Interview Process
1
Application Review
2
Recruiter/Phone Screen
3
Technical Interview/Coding Round
4
System Design Interview
5
Behavioral Interview
6
Final Round/Hiring Manager Interview
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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