Sr. Product Marketing Manager, Lakebase

Databricks
United StatesPosted 7 April 2026

Job Description

MKTQ227R20 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: Own the messaging of Lakebase and clearly articulate its value for operational, analytical, and AI workloads Develop and evolve use-case driven messaging for application developers and database owners, aligned with the broader Databricks Data Intelligence Platform narrative Amplify messaging through Databricks own website and channels, as well as through partners’ webpages Land sales enablement content and deliver high CSAT scores with field teams 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 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 Lakebase marketing can help, and execute to drive a stronger impact Deliver customer stories and proof points that demonstrate real-world Lakebase adoption and impact What we look for: 5+ years of product marketing experience at an enterprise software company, preferably including PMM experience in marketing cloud databases Strong understanding of databases, analytics, and/or AI space Experience building marketing content for technical personas 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) 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 USD Zone 2 Pay Range $147 ... (truncated, view full listing at source)
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