Full Lifecycle Recruiter, MQS
Amazon is hiring a Full Lifecycle Recruiter, MQS in Tel Aviv, Israel. Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this HR role is Little AI ●○○○: aI is not part of the work.
- Level lists 20,000+ other open roles at Amazon.
- The role was posted in the last few days.
AI in this role
Key job responsibilities
- Partner with hiring managers and business leaders to develop and execute sourcing, assessment, and closing strategies across multiple teams, using data and funnel metrics to drive hiring effectiveness.
- Build and maintain candidate pipelines through multiple channels including networking events, referral programs, online communities, and direct outreach, ensuring a steady flow of qualified and varied talent.
- Conduct thorough candidate screens, assessing fit across difficult, multi-team requisitions while maintaining a consistent and timely interview process.
- Educate hiring managers and interviewers on recruiting best practices, sourcing methodologies, and closing strategies to improve their hiring outcomes and calibration.
- Own and drive recruiting projects that improve key metrics such as pipeline conversion rates, candidate cycle time, and candidate experience, while identifying risks and clearing blockers to keep searches on track.
A day in the life
You will start your day reviewing candidate pipelines and prioritizing open requisitions across your client teams. From there, you might jump into a strategy session with a hiring manager, craft targeted outreach to passive candidates, or conduct phone screens to assess potential fits. You will regularly analyze recruiting data to refine your approach, collaborate with compensation and HR partners on offer strategies, and coach interviewers to sharpen their assessment skills. Throughout it all, you will keep candidates informed and engaged, ensuring every interaction reflects a thoughtful, professional experience.
About the team
Our recruiting team is at the heart of Amazon's growth, working to connect exceptional talent with opportunities that matter. We are a collaborative group that values creative problem-solving, continuous learning, and a genuine commitment to candidate and hiring manager satisfaction. As Amazon continues to scale and innovate, our team plays a critical role in shaping the workforce that makes it all possible. You will join a group that is invested in improving how we hire and is always looking for new ways to raise the bar on recruiting excellence.
Basic qualifications
- Experience partnering with hiring teams to build effective sourcing, assessment, and closing approaches with an ability to manage customer/partner expectations
- Experience in full-cycle recruiting, including sourcing and closing candidates
- Experience recruiting for technical or engineering roles.
- Experience using an applicant tracking system and recruiting/sourcing tools (e.g., LinkedIn Recruiter).
- Professional working proficiency in English and Hebrew.
Preferred qualifications
- Experience communicating with a wide range of stakeholders, including colleagues and leadership, or experience working with data analytics and using these metrics to identify problems
- Experience in silicon hiring
- Track record of sourcing and closing senior and hard-to-find technical talent in a competitive market.
- Experience managing multiple pipelines or hiring managers across more than one site.
- Experience in a fast-paced, high-bar technology environment.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
How we rate this
Full Lifecycle Recruiter, MQS at Amazon rates 36 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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- $120k
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