Staff Recruiter, Corporate Functions (Contract)

GAQ427R214

We're looking for a Staff Recruiter to be the driving force behind hiring the strategic talent that powers our operational engine across AMER — Finance, Legal, People, and the broader Corporate Functions org. These are the people who partner directly with business leaders, solve our most complex operational and organizational challenges, and make Databricks impossible to compete against. Your job is to find them, win them, and close them.

This is an exciting time to be part of the rocketship and the Databricks expansion across AMER. We're scaling fast, the bar is high, and the demand for elite corporate and business operations talent has never been more intense. You'll own full-cycle hiring for some of the most sought-after profiles in the market, partnering directly with Corporate Functions leadership to build teams that don't yet exist.

Recruiters at Databricks are subject matter experts when it comes to talent attraction and are given full autonomy to bring new ideas and creative approaches to life. If you thrive in ambiguity, move fast, and get energy from building in a high-growth, high-pressure environment, read on.

The impact you will have:

• Own full-cycle recruiting for Corporate Functions roles across AMER — Finance, Legal, People, Workplace, and Corporate leadership — from first outreach to close.

• Partner with Corporate Functions leaders as a true strategic advisor on sourcing strategy, market mapping, competitive intelligence, compensation positioning, and talent insights.

• Activate and engage passive, high-caliber corporate talent — the strategic thinkers and operational leaders who aren't actively looking but are exactly who we need.

• Build and sustain engaged talent pipelines that can keep pace with aggressive hiring goals and our continued AMER expansion.

• Create closing strategies that win against the most competitive offers in the market and manage stakeholder expectations with data.

• Use data to set benchmarks and metrics, drive workforce planning, and continuously sharpen our hiring process as we scale.

• Champion a world-class candidate experience and act as a brand ambassador for Databricks at every touchpoint.

• Play a key role in building a diverse, inclusive, and exceptionally high-caliber workforce.

What we look for:

• Proven experience recruiting within the high-growth software, tech, or enterprise SaaS industry, ideally for Corporate Functions profiles across Finance, Legal, People, and Operations.

• A track record of scaling teams at a high-growth company — you know what it takes to hire fast without dropping the bar.

• High energy, grit, and a relentless work ethic — you get stuff done and you don't wait to be told how.

• A modern, tech-forward mindset: genuinely curious about the business, hands-on with new AI and productivity tools, and able to speak credibly to specialized corporate and operational candidates.

• Comfort with ambiguity and scale — you stay calm, prioritize ruthlessly, and thrive when the goalposts move and the pressure is on.

• The ability to build strategic partnerships across the business and influence senior corporate executives with data and conviction.

• A creative, resourceful approach to sourcing — you don't rely on the obvious channels and you love finding top-tier corporate talent others can't.

• Strong ownership and a bias for action; you treat your requisitions like they're your own business.

 

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 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 anticipated 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$153,000—$210,450 USDZone 2 Pay Range$137,800—$189,400 USDZone 3 Pay Range$130,100—$178,850 USDZone 4 Pay Range$122,400—$168,300 USD

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.