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P-301
As a Candidate Experience Admin at Databricks, you'll be the engine that powers our in person recruiting efforts, focusing on physical logistics and execution to deliver a smooth, error-free onsite candidate experience. As one of the primary points of contact for candidates visiting our offices, you'll partner with Recruiters, Sourcers, and hiring teams to deliver an exceptional, high-touch interviewing experience.
The impact you will have:
- In person in one of our hubs: San Francisco or Mountain View office, 5 days a week
- Serve as the primary onsite point of contact for candidates, managing timely, professional, and friendly communication (written and verbal) to ensure candidates feel supported throughout their journey
- Build relationships and trust with the broader Talent Acquisition team, cross-functional partners, and hiring stakeholders
- Manage physical logistics and in person candidate experience, maintaining an active day-of presence to oversee candidate greetings, manage room changes, and perform live troubleshooting
- Coordinate interviews, prioritizing high-touch, time-sensitive scheduling needs, and hiring experience
- Contribute to and identify data-driven improvements and ad hoc projects that enhance our recruitment processes and candidate experience programs
What we look for:
- Active hands-on logistics management and real-time troubleshooting capabilities
- Effective communication and prioritization skills
- The ability to thrive in a fast-paced environment with evolving in person and scheduling needs
- Collaborative mindset and openness to feedback
- Proactive approach to resolving ambiguous challenges and unexpected in person logistics on the fly
- A track record of high accuracy and attention to detail
- An interest in technology and artificial intelligence
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.
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.
Skills Required
- Hands-on logistics management and real-time troubleshooting capabilities
- Effective communication and prioritization skills
- Ability to thrive in a fast-paced environment with evolving in-person and scheduling needs
- Collaborative mindset and openness to feedback
- Proactive approach to resolving ambiguous challenges and unexpected in-person logistics
- High accuracy and attention to detail
- Interest in technology and artificial intelligence
- Ability to work in person five days per week in San Francisco or Mountain View
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
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Parental & Family Support — Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
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Wellbeing & Lifestyle Benefits — Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.
Databricks Insights
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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