Pathrise - Partnerships

Benefits for partners

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Spend less time sourcing

We find and evaluate each candidate, determining the best fits for your open roles so you are always receiving high quality applicants.

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Spend less money hiring

Our goal is to help our fellows first. We only charge 5% per placement and the majority of our fees go towards mission-centric scholarships.

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High end candidates

We take on less than 1% of candidates who apply to be fellows. Our candidates end up at top tier companies: Amazon, Facebook, and Google to name a few.

Past fellows placed at: Logo of Uber Logo of Google Logo of Amazon Logo of OpenAI Logo of Nike Logo of WeWork Logo of Walmart

Trained by top mentors

Our fellows learn from the best in the industry, and bring that expertise to you

Grid of logos representing where Pathrise Mentors work at Grid of logos representing where Pathrise Mentors work at

Most common questions

Some answers to your questions about partnerships

Where do Pathrise candidates come from?

Pathrise candidates come from all sorts of backgrounds all around the country. They are all authorized to work in the US. Many come from top universities such as UC Berkeley, Carnegie Mellon, and Stanford and end up working at top tier companies such as Amazon, Facebook, and Google.

What sets a Pathrise candidate apart from a normal candidate?

Pathrise candidates are vetted based on our proprietary technical evaluations before joining the program and being sent to our partners. In the Pathrise program, we train job-seekers and continue to measure their skills and teamwork ability over the course of several weeks to months. Therefore, we can confidently create a profile of their strengths and weaknesses and prepare them for the workforce.

How does the partnership work?

When a hiring partner works with Pathrise, we send them candidates for their hiring funnel that are handpicked by our talent team. We adjust the volume and type of candidates we send over based on your needs. If you don't like the candidates, we continue to adjust our recommendations based on your feedback.