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Benefits Diversity Engineering Research Students & new grads Back to search results Executive IT Support Mountain View, California Apply now GAQ426R304
About
the role: As IT Executive Support, you will be the primary technical partner for Databricks senior leadership. You will own the executive support experience, delivering seamless, white-glove service to C-level executives, SVPs, and their assistants. This role requires anticipating needs, enabling productivity, and resolving issues with minimal disruption, demanding a blend of deep technical expertise, strong interpersonal skills, and composure in high-pressure situations. This role requires in-office presence at our Mountain View HQ on certain days, with potential travel to San Francisco as needed. The Impact You Will Have: Serve as the dedicated IT point of contact for Databricks C-suite and executive assistants, ensuring rapid and accurate resolution of technical issues. Lead executive support with a proactive mindset: anticipating needs, identifying trends, and creating solutions before problems arise. Take ownership of high-priority escalations from Tier 1 helpdesk teams and drive them to resolution while also providing hands-on support for devices, A/V setups, meetings, events, and onsite conference rooms. Document best practices and solutions in our Confluence knowledge base to enable knowledge sharing and continuous improvement. Partner with IT specialists and IT engineering teams to deploy tools and services that enhance executive productivity and collaboration. Prioritize, manage, and close tickets efficiently while identifying opportunities for process and experience improvements. What We Are Looking For: 5+ years of experience in IT support, with at least 2+ years directly supporting executive leadership (C-level or VP+) in a fast-paced or high-growth environment. Proven Executive Support Experience: Demonstrated experience providing dedicated, "white-glove" IT support to C-level executives and their direct staff, with a focus on resolving issues quickly and calmly in high-pressure, high-visibility situations. Advanced Okta Administration: Deep experience in Identity and Access Management (IAM) beyond basic helpdesk tasks (e.g., password/MFA resets). Proven ability to build, map, and troubleshoot complex group rules using Okta Expression Language. Hands-on experience configuring and managing SSO (SAML/SCIM) application integrations and troubleshooting push groups. Experienced Endpoint & OS Management: Expertise in supporting and troubleshooting mixed-OS environments (macOS, Windows, iOS, Android). Experience with endpoint management (MDM) tools for device imaging, configuration, and security. Ability to diagnose and explain complex, cross-device ecosystem issues (e.g., interoperability problems between a laptop and mobile phone). In-Depth Google Workspace Administration: Strong administrative skills within Google Workspace, including performing email log searches, managing security policies, and building/maintaining quarantine rules and moderation groups. 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 $120,800 — $166,100 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
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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. Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Product Databricks Platform Platform Overview Sharing Governance Artificial Intelligence Business Intelligence Database Data Management Data Warehousing Data Engineering Business Productivity Application Development Security Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Product Databricks Platform Platform Overview Sharing Governance Artificial Intelligence Business Intelligence Database Data Management Data Warehousing Data Engineering Business Productivity Application Development Security Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions AI Agents AI Governance Cybersecurity Marketing Data Migration Professional Services Solution Accelerators Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions AI Agents AI Governance Cybersecurity Marketing Data Migration Professional Services Solution Accelerators Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog AI Blog Data Brew Podcast Champions of Data & AI Podcast Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog AI Blog Data Brew Podcast Champions of Data & AI Podcast About Company
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Strategy & Execution Manager - GTM Planning
Senior Technical Solutions Engineer, Platform
Staff Software Engineer - Database Engine Internals
Staff Software Engineer - Backend
Sr. Manager, Engineering - Model Serving
Salary
$94,700 - $132,575
Location
Mountain View, CA, USA
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.