Jobs
Benefits & Perks
•Flexible work
•Competitive salary and bonus
•Collaborative environment
•401(k) matching
•Stock options
•Equity
Required Skills
Excel
SQL
SAP
MKTQ225R60
As a Sr. Event Marketing Operations Manager at Databricks, reporting to the Director, Event Marketing, you'll collaborate with the corporate event marketing team and partners to drive and support the strategy and execution of our flagship Data + AI Summit Operations.
The impact you will have:
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Create optimized operations models by analyzing past plans and feedback.
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Develop a comprehensive operations strategy roadmap with internal and external partners.
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Manage all program operations communications (project plans, DACI, logistics, briefs, accountability).
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Implement comprehensive internal and external customer service plans.
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Utilize best-in-class technology, materials, and systems to elevate program operations.
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Support the team in exceeding key metrics like registration, attendance, engagement, efficiency, and business impact.
What we look for:
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10+ years of event marketing experience, especially in large-scale program operations.
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Strong project and time management, managing multiple priorities within deadlines.
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Excellent written and verbal communication, skilled in leading meetings and discussions.
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Proficient with Google Suite, MS Excel, Mac, and technology literate.
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Exceptional customer service for internal and external stakeholders.
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Highly organized, detail-oriented, proactive, and capable of managing multiple projects simultaneously.
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Metrics-driven, enjoying data analysis from the conference platform to inform future success.
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Experience with Salesforce, Databricks AIBI, Asana, and Rainfocus.
About Databricks
Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering, and Business. Founded by the original creators of Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA, and Battery Ventures, among others, has a global customer base that includes Viacom, Shell, and HP. For more information, visit www.databricks.com.
Apache, Apache Spark, and Spark are trademarks of the Apache Software Foundation.
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
$197,500—$276,475 USD
Zone 2 Pay Range
$177,800—$248,900 USD
Zone 3 Pay Range
$167,900—$235,025 USD
Zone 4 Pay Range
$158,000—$221,150 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%
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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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