Databricks · AI infrastructure

Sr. Recruiter

  • United Kingdom (Remote), +2 more: London, Belgrade
  • Temporary

Still open on Databricks's site · checked 5 hours ago

Level
Senior
Posted

What you'll do

As written by Databricks · Read the original

The impact you will have

  • Apply your knowledge to meet our hiring needs within Field Engineering and develop unique full-cycle hiring strategies.
  • Build engaged talent pipelines for roles across Field Engineering, with active and passive candidates which can sustain long-term hiring goals.
  • Act as a trusted advisor to Field Engineering leaders across EMEA — running intake and calibration sessions, challenging assumptions on role design and seniority, and holding hiring managers to a consistently high bar.
  • 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

Requirements

What we look for

  • Experience with recruiting for Go To Market professionals, specifically Pre-sales Engineers and Post-sales engineers from Entry level to Director within the software industry.
  • Experience building strategic partnerships within the business and cross-functionally, and influencing senior stakeholders with data rather than opinion.
  • Experience recruiting across multiple EMEA markets and navigating the local nuances that come with it.
  • 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.

Skills

Working languages

English

Company

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