Sr. Events Marketing Manager, Data + AI World Tour
DatabricksUnited StatesPosted 24 February 2026
Job Description
MKTQ227R24
Sr. Events Marketing Manager - Data + AI World Tour
Do you get excited about creating the best-in-class event experiences that take operational excellence to the next level? Do you enjoy the fast-paced culture of high-growth tech companies where you have the opportunity to directly impact the business’ success? As a Sr. Event Marketing Manager at Databricks, you will support operations, strategy, and execution for our global Data + AI World Tour, This role transforms event operations from reactive to strategic, building scalable systems that enable best-in-class experiences while maintaining operational excellence across multiple global markets. This role will report to the VP of Global Events with a dotted line to the Principal Event Marketer for the World Tour Program
Outcomes: the impact you will have:
Scalable Operations : Help establish repeatable systems and processes that enable Data + AI World Tour to scale across new markets without operational complexity
Operational Excellence: Deliver flawless event execution with on-time, on-budget delivery across all milestones and deliverables
Data Visibility: Provide clear performance reporting that connects event metrics to business outcomes and informs future strategy
Cross-Functional Alignment: Facilitate seamless collaboration between global teams, agencies, and stakeholders that eliminates bottlenecks and accelerates execution
Budget Efficiency: Maintain financial accountability with zero budget overruns and optimized vendor relationships
Field Enablement : Support regional teams with standardized tools and resources that ensure consistent event quality across all locations
Stakeholder Trust: Build confidence with marketing and sales leadership through reliable delivery and transparent communication
What we look for:
6+ years of event marketing experience, driving demand to event programs in a B2B enterprise software company
Strong project management skills with track record of delivering multiple concurrent projects on deadline
Experience managing complex, multi-stakeholder global programs
Excellent written and verbal communication skills with ability to lead cross-functional meetings
Proven capacity for exceptional customer service to internal and external stakeholders.
Highly organized, detail-oriented, and self-directed
Metrics-driven and be a strong analytical thinker with ability to utilize data to drive the success and the evolution of the conference.
Virtual event experience preferred.
Experience with Google Suite, Marketo, Salesforce, Tableau, Asana, Rainfocus, etc.
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
$158,000
$217,250 USD
Zone 2 Pay Range
$142,200
$195,600 USD
Zone 3 Pay Range
$134,300
$184,700 USD
Zone 4 Pay Range
$126,400
$173,800 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 Lakehous ... (truncated, view full listing at source)
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