GTM Recruiter

Posted Yesterday
Be an Early Applicant
Tokyo, JPN
In-Office
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Lead full-cycle recruiting for GTM roles across the APJ region, including sales, pre-sales, and technical hiring. Build active and passive talent pipelines, develop data-driven recruiting strategies, establish hiring benchmarks, forecast workforce needs, and partner with leadership on team growth. Manage candidate closing strategies, mentor recruiting teams, improve interview experiences, and support diversity and inclusion initiatives within a high-growth software company.
Summary Generated by Built In

We're looking for a Senior Recruiter with experience driving recruitment in the APJ region to help us grow our GTM business and support continued APJ expansion. You will devise practical and creative methods to identify top talent and dedicate considerable time to activating and engaging passive candidates. You will use data to set benchmarks and metrics to create targeted recruiting strategies while partnering with leadership to build inspired teams. 

The impact you will have:

  • Apply your knowledge to meet our hiring needs and develop unique full-cycle hiring strategies and interview criteria
  • Build engaged talent pipelines for multiple requisitions with active and passive candidates, which can sustain long-term hiring goals
  • Create closing approaches to manage partner expectations through market data
  • Lead the business with data to promote future workforce planning decisions and accurate forecasting
  • Help Databricks provide a positive interview experience for all and periodically review experiential data to enhance our offering and drive Diversity and Inclusion in our hiring

What we look for:

  • Experience with Sales, Pre-Sales & Technical recruiting within the software industry, including building strategic partnerships within the business
  • You will have had success in scaling a high-growth software company and be able to bring your learning from your success into our team
  • Experience serving as a mentor and expert regarding all recruiting-related activities, and be comfortable sharing your knowledge within the business and our wider team
  • Extended experience in a recruiting environment focused on the SaaS, Analytics, Big Data, AI or Machine Learning space although the experience you gained in that time is far more important than the number of years

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

  • Experience recruiting for Sales, Pre-Sales, and Technical roles within the software industry
  • Experience driving recruitment in the APJ region
  • Experience scaling a high-growth software company
  • Experience building strategic partnerships with business leaders
  • Experience mentoring and advising on recruiting activities
  • Experience recruiting in SaaS, Analytics, Big Data, AI, or Machine Learning
  • Experience developing full-cycle hiring strategies and interview criteria
  • Experience using recruiting data, metrics, forecasting, and workforce planning

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.

  • Healthcare Strength — Healthcare coverage is described as comprehensive, including medical, dental, vision, and mental-health support with EAP and wellness stipends. Feedback suggests these offerings are a core strength across locations, though specifics may vary by region.
  • Equity Value & Accessibility — Equity and annual bonuses are highlighted as competitive and a major draw, aligning employee success with company growth. Feedback suggests stock options are seen as lucrative, particularly for certain roles and incumbents.
  • Leave & Time Off Breadth — Flexible/unlimited PTO and robust paid parental leave are called out as notable components of the package. Feedback suggests these policies support flexibility alongside performance expectations.

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The Company
HQ: San Francisco, CA
2,200 Employees
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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