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Open nowPosted 28 hours agoWe saw it 37 min after it went up

Scaled Engagement Manager

Databricks870 open roles

Pay
$168,590 – $231,898 a year
Where
United States
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Your applicationOpen nowScaled Engagement ManagerDatabricks · United States

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The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market. Databricks postings stay open a median of 30 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 28 hours ago

Databricks median: 30 days open

The posting

SLSQ427R662

Location: Open (United States)

As a Scaled Engagement Manager at Databricks, you will be the operational engine of our high-growth Meetings at Events program. You will report to the Senior Director of Executive Engagement within the Sales Go-to-Market (SGTM) organization, and work alongside the Meetings Program Lead, who sets the overall strategy and executive motion. You'll own day-to-day execution across first- and third-party events, including meeting operations, reporting, enablement, and program documentation.

This role offers an exciting opportunity to drive the day-to-day execution of a massive global program, partnering with operations contractors who will support you in executing tool builds, tracker upkeep, and venue logistics. If you thrive on organization, analytical reporting, and turning complex event needs into scalable execution, we want to hear from you!

Key Responsibilities

Meeting Operations & Event Execution

  • Own meeting request intake, triage, approvals, scheduling, and real-time changes for Account Team-Led meetings, ensuring a smooth and consistent workflow.
  • Oversee venue logistics and space planning, including room setup, signage, access, attendee tracking, and coordination with Marketing on food & beverage.
  • Direct operations contractors supporting meeting tools, setup, go-live execution, QA, scheduling, and meeting-space/venue logistics.
  • Provide on-site support at events globally, managing room flow, check-in, executive routing, scheduler coverage, and real-time conflicts.
  • Step in to cover additional events alongside the Program Lead and operations contractors based on concurrent event volumes.

Reporting, Analytics and Outcomes

  • Own operational reporting across RainFocus, Jifflenow, AI/BI dashboards, SFDC campaigns, and other data sources.
  • Turn complex data into actionable insights, deep-dive analysis, and leadership readouts.
  • Direct the operations contractors on dashboard production, data QA, and survey assembly to ensure data integrity.
  • Produce post-event recaps, surveys, and analytics that track performance against event and FY OKRs, partnering with Marketing Analytics on pipeline attribution and ROI reporting.
  • Capture and reconcile meeting outcomes, including sales-team notes and post-event results.

Enablement & Communications

  • Own the creation, maintenance, and distribution of enablement materials (e.g., Know Before You Go guides, cheat sheets, best practices, calendar) for Sales, Marketing, and SGTM teams.
  • Own program communications, drafting field updates and bi-weekly progress reports for the Program Lead’s review.
  • Coordinate training sessions and office hours, serve as an escalation point for request approvals, and direct operations contractors in providing frontline event Slack support/Q&A.

Program Management & Documentation

  • Maintain and author the substance of the Meetings-at-Events Playbook, process documentation, and operating standards across first- and third-party events.
  • Act as the dedicated project manager for the Data + AI Summit (DAIS) planning meeting workstream, owning meeting notes, updates, and follow-ups.
  • Partner cross-functionally with Marketing, Product, Sales, and Event Tech to coordinate logistics, surface risks/dependencies to the Program Lead, and translate lessons learned into improved workflows.
  • Support quarterly event portfolio reviews and maintain event-tiering and third-party account-capture trackers.

Required Qualifications

  • 7+ years of meeting, event, or program coordination experience in a B2B enterprise software company.
  • Experience coordinating event logistics, meeting space, vendors, and/or budgets.
  • Proven ability to configure tools, direct operational setup, manage meeting requests, track attendee data, run reporting, and directly oversee event go-live (hands-on configuration experience with tools like Jifflenow and RainFocus is a plus).
  • Very strong analytical and reporting skills, with the ability to comfortably navigate data exports.
  • Experience utilizing tools (e.g., Google Sheets, Excel) for data management, visualization, and reconciliation is highly preferred.
  • Highly organized and detail-oriented, with the proven ability to flawlessly manage multiple workstreams, stakeholders, and event timelines accurately under pressure.
  • Excellent written and verbal communication skills, with the ability to author clear enablement materials and program playbooks.
  • Self-starter who is comfortable operating independently on execution and resolving issues in fast-moving event environments, while aligning with broader program strategy.
  • Metrics-driven and process-oriented, with a track record of identifying opportunities to improve workflows and program execution.
  • Familiarity with Salesforce and Asana is a plus.
  • Travel required for events.

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

$168,590—$231,897.50 USD

Zone 2 Pay Range

$151,800—$208,725 USD

Zone 3 Pay Range

$143,290—$197,110 USD

Zone 4 Pay Range

$134,895—$185,437.50 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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.

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