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Staff Recruiter - Sales, Go-To-Market (Japan)
We're looking for a Staff Recruiter with experience leading Sales recruitment in Japan to help us grow our 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.
- Partner with our Country Leader on key Senior IC and leadership hires for our Sales and GTM teams in Japan.
- Build engaged talent pipelines for multiple requisitions with active and passive candidates which can sustain long-term hiring goals.
- Create closing approaches to manage expectations through market data.
- Lead the business with data to promote future workforce planning decisions and accurate forecasting. Design interviewing plans that align with career ladders and strategic growth of the company.
- Lead key efforts around hiring efficiency, employer branding and DEI strategies.
- 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 & GTM 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 have a strong reputation in the GTM world.
- Experience serving as a mentor and expert regarding all recruiting-related activities and be comfortable leading key projects and bodies of work both in Japan and across APJ.
- Extended experience in scaling companies in a complex
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 Twitter, LinkedIn 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.
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.
