← All jobs · Databricks

Sr. Events Marketing Manager, Data + AI World Tour

Databricks ·
27
AI-Agency
B15 U45
📍 US 💰 $126K–$217K Senior 6+ yrs
Google SuiteMarketoSalesforceTableauAsanaRainfocus
TL;DR

Sr. Events Marketing Manager at Databricks managing the global Data + AI World Tour. Responsible for event operations, strategy, and execution across multiple markets, with focus on scalable systems, budget management, and cross-functional alignment.

Apply at Databricks →
share:
you'll be redirected to the company's career page

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:

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 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 Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on TwitterLinkedIn 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 click here.

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.

Apply at Databricks →

More open roles at Databricks

Databricks 🔷 AI-first · 🔄 synced 4h ago
Principal Research Scientist - AI Scaling & Optimization
📍 Mountain View, US · Principal
Principal Research Scientist at Databricks leading a team on LLM scaling, efficiency, and post-training optimization. Focus on advancing foundation model training and inference through novel algorithms, systems optimization, and production deployment.
PythonPyTorchdistributed trainingLLMs
88
AI-core
Databricks 🔷 AI-first · 🔄 synced 4h ago
Principal Research Scientist – Scaling
📍 San Francisco, US · Principal
Principal Research Scientist leading a team at Databricks focused on large language model scaling, efficiency, and post-training. Role combines research leadership with hands-on work in distributed training optimization, inference efficiency, and production ML systems.
PythonPyTorchdistributed trainingLLM inference
88
AI-core
Databricks 🔷 AI-first · 🔄 synced 4h ago
AI Engineer - FDE (Forward Deployed Engineer)
📍 Singapore, SG 🛠 AI tools welcome at work · Mid
AI Engineer at Databricks building production GenAI applications including RAG, multi-agent systems, and fine-tuning for enterprise customers. Role involves customer engagement, technical advisory, and cross-functional collaboration with product and engineering teams.
PyTorchHuggingFaceLangChainDSPypandasscikit-learn
82
AI-core
Databricks 🔷 AI-first · 🔄 synced 4h ago
AI Engineer - FDE (Forward Deployed Engineer)
📍 US 🌐 Remote-only 💰 $180K–$248K 🛠 AI tools welcome at work · Senior
AI Engineer (Forward Deployed) at Databricks building and productionizing GenAI applications for customers. Focus on RAG, multi-agent systems, fine-tuning, and production ML deployments on cloud platforms.
HuggingFaceLangChainDSPyPyTorchpandasscikit-learn
82
AI-core
Databricks 🔷 AI-first · 🔄 synced 4h ago
AI Engineer - FDE (Forward Deployed Engineer)
📍 Sydney, AU 🌐 Remote-only · Mid
AI Engineer at Databricks building production GenAI applications including RAG, multi-agent systems, and fine-tuning. Role involves customer engagements, production rollouts, and cross-functional collaboration with product and engineering teams.
HuggingFaceLangChainDSPyPyTorchpandasscikit-learn
82
AI-core