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Senior Technical Recruiter

DiDi Labs, Silicon Valley

DiDi Labs is working to solve the world’s most challenging problems.


Senior Technical Recruiter

We are currently looking for an experienced Senior Technical Recruiter to join our Mountain View office. We are looking for a team player with strong ownership of the entire recruiting process and to take charge in scaling our R&D teams. This person will partner with our local HR Head, hiring managers, and occasionally HQ (in Beijing) recruiting team in identifying and engaging with top technical talent. 

Responsibilities

  • Collaborate with teams to deeply understand hiring needs for each role.
  • Collaborate with the HR Head and hiring managers to develop, implement, and execute hiring strategy
  • Manage full-cycle recruiting process for a large number of technical and engineering positions
  • Use all available recruiting tools to source qualified candidates, screen resumes, and evaluate candidates
  • Organize interview; facilitate decision-making and offer process with hiring committee

 Qualifications

  • 3+ years of technical recruiting experience for a search firm or in-house recruiting team (software preferred).
  • Passion for DiDi’s mission, goals, and projects.
  • Flexible, positive, cross-cultural, communicative team player with outstanding interpersonal skills.
  • Superior verbal and written communication abilities
  • Must be able to multitask and prioritize workload, effectively managing conflicting priorities on a daily basis.
  • Strong ownership and initiative – self-starter and finisher
  • Flexible in working hours.

About DiDi Labs

DiDi is a ride-sharing platform dedicated to revolutionizing the way people live and move. Didi Chuxing offers a full range of on-demand mobility options, including Taxi hailing, private car hailing, Hitch (social ride-sharing), Chauffeur (designated driver), Bus, Minibus, Car Rental, and Enterprise Solutions. Our company is committed to working with communities and partners to solve the world’s transportation and environmental challenges using big data-driven deep-learning algorithms that optimize resource allocation.

Want to learn more about DiDi Labs? Visit DiDi Labs's website.