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Synced from Greenhouse · Nov 10

GTM Recruiter

DatabricksTokyo, JapanPosted Nov 10, 2026
RecruiterSenior
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

911
Other open Databricks roles
Nov 10
Posted
Greenhouse
Applicant system
Job descriptionReq 8937106002

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.

View original posting on Greenhouse

What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Databricks can generally expect a structured process typical of this ATS. This commonly begins with an online application and resume screen, followed by a recruiter conversation to discuss background and role fit. Depending on the position, candidates may encounter technical assessments, take-home exercises, or case studies, particularly for engineering, data, and analytical roles. The process may include multiple stages such as hiring manager conversations, panel discussions, and team or cross-functional interviews. Response times vary and communication is typically managed through the greenhouse platform, including scheduling and status updates. Candidates should prepare to discuss relevant experience, technical skills, and role-specific scenarios, as greenhouse-based processes commonly emphasize structured evaluation criteria across candidates to support consistent, comparative hiring decisions throughout the pipeline.

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GTM Recruiter
Databricks · Tokyo, Japan
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