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Databricks in the United States is seeking a Senior Event Technology Manager to own the digital tools workstream for our flagship B2B conference, overseeing RainFocus, registration, mobile app, content management, exhibitor management, and on‑site/virtual technologies.
You will drive integration with Salesforce and Marketo, lead a cross‑functional team of contractors and internal partners, and apply AI thoughtfully to improve processes while ensuring secure data flows and exceptional attendee
United States
MKTQ427R42
We are looking for a versatile Senior Event Technology Manager to lead the digital tools workstream for our flagship B2B conference – a program spanning 35,000–50,000+ in-person attendees and 100,000+ virtual attendees. Reporting through Global Events, you will partner closely with the Lead, Event Digital Tools to execute the digital tools strategy for the event, serving as the hands‑on owner of registration, mobile app, content management, exhibitor management, meetings programs technology, and related onsite and virtual technologies.
You are an expert in RainFocus and bring proven experience delivering digital tools at flagship, large‑scale conference volume. You thrive amid fast‑moving, frequently changing requirements across many stakeholder groups, and you excel at distilling those requirements into clear deliverables for support contractors, agencies, and internal teams to execute against. While your primary focus is the flagship program, you will also provide secondary support to other large‑scale field and corporate events as capacity allows.
You bring a working knowledge of how AI can be applied inside event technology workflows – from incorporating agents into day‑to‑day operations to using AI tools productively and safely – and you look for opportunities to apply that thinking to improve how the team works.
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
$148,600 — $204,250 USD
Zone 2 Pay Range
$133,700 — $183,800 USD
Zone 3 Pay Range
$126,200 — $173,600 USD
Zone 4 Pay Range
$118,900 — $163,450 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 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.
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As set forth in Databricks’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
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