Sr. Recruiter, GTM-Field Engineering at Databricks Canada ULC
Amsterdam, North Holland, Netherlands -
Full Time


Start Date

Immediate

Expiry Date

15 Apr, 26

Salary

0.0

Posted On

15 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Recruiting, GTM-Field Engineering, Data, Diversity and Inclusion, SaaS, Software Industry, Talent Pipelines, Workforce Planning, Forecasting, Mentoring, Strategic Partnerships, Full-Cycle Hiring, Market Data, Interview Experience, Passive Candidates, Engagement

Industry

Software Development

Description
GAQ127R121 Mission We're looking for a Senior Recruiter with experience driving GTM-Field Engineering recruitment in the EMEA region, to help us identify and hire great people for Databricks as we continue our 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. The impact you will have: Apply your knowledge to meet our hiring needs and develop unique full-cycle hiring strategies Build engaged talent pipelines, 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 recruiting within the software industry. Experience with recruiting for GTM-Field Engineering profiles Experience building strategic partnerships within the business and cross-functionally. You will have had success in scaling a high-growth software/Data/AI company and be able to bring your learning from your success to 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 Significant experience in a recruiting environment, ideally in-house, focussed on the SaaS software, ideally within the Data and AI space. 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.

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Responsibilities
The Senior Recruiter will develop unique full-cycle hiring strategies and build engaged talent pipelines to meet hiring needs. They will also lead data-driven workforce planning decisions and enhance the interview experience.
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