Senior Recruiter - GTM (Korea)

Posted:
10/9/2024, 2:02:36 PM

Location(s):
Tokyo, Japan

Experience Level(s):
Senior

Field(s):
People & HR

Pay:
$82/hr or $170,560 total comp

GAQ425R51

 

Note: We are open to the location being Seoul, Singapore, Sydney or Tokyo. The candidate must speak Korean.

 

We're looking for a Senior Recruiter with experience driving recruitment in the Korea & APJ region to help us grow our Korean GTM business and support the continued APJ expansion. You will conceive practical and creative ways to identify leading talent and invest considerable time 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. You will report directly to the Snr Manager Talent Acquisition - APJ.

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 to 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 focussed 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 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on TwitterLinkedIn and Facebook.

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, please visit https://www.mybenefitsnow.com/databricks

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.

Databricks

Website: https://databricks.com/

Headquarter Location: San Francisco, California, United States

Employee Count: 5001-10000

Year Founded: 2013

IPO Status: Private

Last Funding Type: Series I

Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Information Technology ⋅ Machine Learning