Sr. Workplace Manager

GAQ327R194

As an industry leader in data and AI, Databricks transforms how global enterprises operate. To support our rapid growth, we are hiring a Sr. Workplace Services Manager to drive workplace operations at our San Francisco headquarters.

The Real Estate & Workplace Services (REWS) team moves fast. We need an innovative leader with a startup mindset to help us scale effectively. In this role, you will align workplace services with regional goals and execute on the delivery of projects and ongoing programs to support our rapid growth.

You will partner with our Workplace Services team, build strong relationships with internal stakeholders and key external vendors driving our expansion. As Databricks’ flagship location, our San Francisco headquarters is rapidly scaling past 1,000 employees, with substantial future growth planned. This is a full-time, in-office role based in San Francisco, CA, reporting to the Manager, Workplace Services.

• Operations Management: Oversee all workplace services at the San Francisco HQ, including building and workplace operations, front-of-house, shipping/receiving, events and experiences, and EHS.
• Team Leadership: Mentor and elevate the workplace team in all aspects of what we do, setting clear expectations to foster excellence, continuous improvement, and a strong culture of collaboration between our employee and outsourced team members.
• Stakeholder Engagement: Build strong relationships across all organizational levels and leadership tiers to align on workplace priorities; interact regularly with senior leaders on strategic initiatives for buy-in.
• Strategic Planning: Anticipate site-specific and company-wide growth needs to support Databricks’s workplace operations strategy for SF with a clear annual roadmap tracking and shifting priorities as needed.
• Executive Insights: Provide local site data and insights to REW team leadership to inform decision-making and drive operational improvements.
• Vendor & Landlord Relations: Manage external vendors and building management against strict SLAs that you will help to develop to ensure quality standards and budget targets.
• Financial Oversight: Partner with FP&A and Procurement to forecast budgets, manage operational expenses, and process purchase orders. Be well versed in vendor contract negotiations, financial models, and ready to build out processes around them for our team.
• Growth & Site Support: Collaborate across teams to support rapid office expansion, occupancy planning strategies in a safe, high-performing environment.
• Event Execution: Partner with local leadership to design and execute office events that drive employee engagement and community.
• Documentation & Knowledge Base: Maintain workplace SOPs, employee office guides, and playbooks to ensure operational consistency.
• Automation & AI Integration: Leverage automated tools and AI (e.g., Databricks Genie) to optimize space planning, ticketing, and vendor reporting.
• Program Implementation: Support execution of core workplace programs, including Food & Beverage, EHS, occupancy, events, and provide a high level of customer service.
• Workplace Innovation: Identify and implement innovative ideas to continuously elevate the day-to-day employee experience.
• Agile Support: Execute ad hoc projects and support broader team initiatives as business needs evolve.

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 $205,800—$282,900 USD

• 8+ years leading workplace operations and service delivery, with a proven track record of mentoring high-performing teams.
• Experience building schedules, coverage models and working with cross-functional stakeholders
• Great communication skills and the ability to draft robust communications plans for events, programs, and operations.

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.

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.