Join Databricks as Chief of Staff to the CMO, driving marketing strategy and operational excellence in a leading Data + AI company.
Posted by employer 4 days ago
First seen on Joblaze 3 days ago
Last verified on the company career page 22 hours ago
What you'll build
Must have
Nice to have
AI in the day-to-day
Proficiency in AI and experience transforming marketing functions with AI.
Requirements
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
The Chief of Staff to the CMO at Databricks plays a pivotal role in enhancing the operational efficiency of the marketing organization by addressing strategic challenges and driving key initiatives. This position requires extensive experience in B2B marketing, particularly within high-growth software environments, along with strong analytical skills and a proficiency in AI. Ideal candidates will have a background in strategic planning and project management, making this role suitable for seasoned professionals looking to influence a large marketing team. The position is integral to aligning marketing efforts with the company's broader goals, particularly in the context of AI transformation.
Joblaze insights
Quick facts
From the original posting
MKTQ427R52
Location: San Francisco, CA
We're looking for a Chief of Staff to the CMO to provide business leadership and establish operational rigor for the Databricks Marketing organization and support our mission to be the leading enterprise Data + AI company. You will develop an understanding of strategic and operational challenges faced by teams and define appropriate solutions to address such challenges. As a member of the leadership team, directly reporting to the CMO, you will extend the reach of the CMO by acting as a strategic advisor to the Marketing leadership team and managing all the critical business operations of the CMO office, including:
The impact you will have:
What we look for:
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 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 anticipates 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
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