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JobsDatabricks

Executive Assistant

Databricks

Executive Assistant

Databricks

Bellevue, Washington; Mountain View, California; Remote - California; San Francisco, California; Seattle, Washington

·

Remote

·

Full-time

·

4d ago

SLSQ227R388

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

The Role

We are seeking a highly organized, professional, and business-savvy Executive Assistant to support an SVP within our Sales organization. This role is a critical force multiplier, enabling the SVP to focus on revenue-driving priorities by seamlessly managing their time, communications, and the operational rhythm of the business. You will support the SVP in managing tasks across internal decision-making meetings and external, customer-facing priorities, working across Sales and other critical cross-functional teams. You will also be a core planner for strategic and community events for the sales management team.

The Impact You Will Have

As a strategic partner, your primary goal is to ensure the SVP is operating at maximum efficiency and effectiveness. Your responsibilities will include:

  • Calendar Management: Organizing all meetings, including complex scheduling of team meetings, offsites, customer, and internal team member meetings across multiple international time zones.

  • Logistics Coordination: Scheduling and managing logistics for key internal meetings, high-stakes conferences, and special events (onsite & offsite).

  • Executive Preparation: Proactively manage the rhythm of the business, ensuring the SVP is fully prepared for all critical meetings, customer engagements, travel, interviews, and executive briefings.

  • Information Flow: Organize and prioritize multiple work activities, filtering and managing communication flow to the SVP to maximize their availability and focus.

  • Meeting Ownership: Own the coordination and execution of weekly staff meetings, including developing and distributing agendas, capturing concise meeting notes, and tracking key action items to completion.

  • Team Contribution: Act as a core contributor and collaborative partner to the broader Admin/Operations team, supporting planning for key meetings, off-sites, events, projects, and professional growth initiatives.

  • Operational Support: Provide backup support for other executives and work with the executive team on site-specific programs/facilities (i.e., recruiting events, office events, etc.).

  • Travel Management: End-to-end management of complex domestic and international travel and logistics.

What We Look For:

  • Experience: 3+ years of applicable experience supporting a C-level or SVP-level executive in a global, high-growth technology or software organization.

  • Executive Partnership: Demonstrated experience serving as a trusted partner and gatekeeper to senior executives and their direct reports.

  • Technical Proficiency: Proficiency with Google Workspace for calendaring, email, presentation, and document management.

  • Meeting Tools: Experience with the setting up and management of virtual meeting platforms and tools.

  • Sales Acumen: Prior experience supporting a senior executive go-to-market (GTM) or sales leader.

  • Anticipation: Exceptional organizational skills and a highly proactive, anticipatory working style; the ability to identify needs and solve problems before they arise.

  • Communication: Impeccable written and verbal communication skills with the professional maturity to interact with internal leadership and external, high-value customers.

  • Collaboration: Strong teamwork skills and an ability to offer suggestions and improvements to process and work very collaboratively with others.

  • Event Management: Proven experience running events/offsite events (virtual/physical) for executive leadership teams.

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 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 anticipates 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**$141,100—$194,050 USD**

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 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 anticipates 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 2 Pay Range**$127,000—$174,700 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

Databricks

Series I

Databricks, 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%

Recommend to a Friend

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

Director

Mid/L4 · Global Mobility Operations Manager

2 reports

$149,582

total / year

Base

$130,071

Stock

-

Bonus

-

$144,210

$154,953

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