SkillTorch

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Case study 06 · Amazon

Candidates understood before they're put forward

Client

Amazon Robotics, Massachusetts

Sector

Robotics, Warehouse Automation

Roles

Robotics and Perception Engineers

Engagement

Exclusive search

The problem

Amazon Robotics builds the machines that move goods through Amazon's fulfilment network. The team needed robotics and perception engineers, and every profile they received went through a demanding interview process, so a weak shortlist cost their engineers hours. Melica spent longer than usual with each candidate before putting them forward: their real project work, what they wanted next, and whether Amazon's pace and scale would suit them. That meant she could tell the hiring team exactly why each person was there, and candidates arrived at interview knowing what the role involved.

Client

Amazon Robotics, Massachusetts

Sector

Robotics, Warehouse Automation

Roles

Robotics and Perception Engineers

Engagement

Exclusive search

Talk to us about a similar hire

The outcome

Shortlists were small and accurate. The hiring manager said they would not hesitate to use Melica again.

2

Hires

7

Profiles submitted

6

First interviews

6wk

To first offer

Feedback from Amazon

“

Melica is a top class recruiter. A very rare breed that takes time out to really understand her candidates. She has a great perspective and understanding of the industry. I wouldn't hesitate in using Melica for my future recruitment needs.

Amazon

Questions this search answers

Why are your shortlists short?

+

Because each candidate is understood before they are put forward. Hiring teams at this level would rather see six strong profiles than twenty.

Do you recruit robotics engineers?

+

Yes. Robotics, perception and automation engineers are a core Skill Torch market.

How many hires came from this search?

+

Two.

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