Executive Assistant

Posted 13 Days Ago
Be an Early Applicant
Mountain View, CA
106K-187K Annually
Expert/Leader
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
The Executive Assistant will support an Engineering leader by managing their calendar, prioritizing meetings, and enhancing their efficiency. Responsibilities include organizing meetings across time zones, maintaining records, and supporting offsite events. The role requires strong communication and organizational skills, with a focus on stakeholder management.
Summary Generated by Built In

RDQ126R109

Mission
This person will support an Engineering leader and partner with them to help operationalize their team's strategy. You will work across various departments, such as Sales, Marketing, IT, Product, and other important functions within the company. You will also work on strategic and community events for the team.

The impact you will have:

  • Ensure the Engineering leader is prepared for all meetings, with an accurate and forward-looking calendar.
  • Effectively prioritize the calendar and schedule meetings in a timely manner.
  • Provide timely responses to all stakeholder requests.
  • Enhance the efficiency of the Engineering leader's use of time, leading to a more productive team and company.
  • Execute strategic initiatives well, delivering on defined outcomes.

Responsibilities

  • Calendar management - organizes all meetings including but not limited to team meetings, customer, and internal business partner meetings across international time zones
  • Builds and maintains records of all meeting requests and closes out all requests in a timely manner. Keeps to a strong SLA on responding to requests
  • Manages offsite meetings, events, and programs in support in support of the SVP and their staff
  • Ensures all meeting invites have the appropriate details to have an effective meeting 
  • They may be required to support other executive staff members if there's a gap in coverage due to PTO, sickness, maternity leave, or other absences. 

Competencies

  • Minimum of 10+ years of applicable executive administrative experience, ideally from a global software organization
  • Worked with VPs/SVPs in Engineering and Product in large organizations.
  • Worked with VPs managing over 2000+ people in engineering, customer-facing, and/or technical roles
  • Ability to work at a fast-paced with shifting priorities in a hyper-scaling company
  • Experience supporting a high-growth company and preferably directly supporting an executive staff member 
  • High attention to detail, organization, and process abilities 
  • Strong calendaring skills (Gmail and Google Calendar experience mandatory)
  • Strong teamwork skills; and a confident ability to offer suggestions and improvements to process and work very collaboratively with others
  • Strong relationship management skills, ability to build a personal network throughout the company
  • Strong oral and written communication 
  • Ability to communicate clearly and effectively with senior leaders and external partners

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents 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 utilizes 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

$105,800$187,100 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.

The Company
New York, NY
2,200 Employees
On-site Workplace
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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