GlobalPros.ai Revolutionizing tech recruiting
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GlobalPros.ai Revolutionizing tech recruiting

6231 PGA Blvd Palm Beach gardens, Fl 33418

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Are you qualified to join?

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Have experience in at least one of the "Roles" and two of the "Skills"

  • Roles . Full-Stack, front-end, back-end developer, data scientist, web developer, cybersecurity engineer, devops engineer.
  • Skills. Python, Java JavaScript, SQL, C++, React, Angular, HTML/CSS, R, C#, PHP, GO.

Willing to work full-time

Our employers require candidates willing to work remotely, exclusively for them full-time (40 hours per week)

Available for one to two hours of assessment testing

Being deeply-vetted with a data enhanced resume and AI matched substantially increases the probability of being hired quickly, at higher compensation levels over unvetted candidates. It's your substantial competitive advantage in a crowded job market.

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COMING SOON!

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Sign up available in May.

Use machine learning to instantly match and rank thousands of the world's top, deeply pre-vetted tech talent from our Community with your full-time openings.

Tech Recruiters

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Thanks for your Interest. We will send you beta test login credentials and details shortly.

Your GlobalPros.ai Team

Seeking highly experienced tech recruiters in the United States to beta test the latest machine learning powered innovation in tech talent sourcing.

Testing requires less than 30 minutes of your time. Your feedback will help shape the future of tech recruiting.

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GlobalPros.ai Solves 20 Tech Sourcing Pain Points

Time & Expense

  • ✓ Misleading resumes. High volume of irrelevant or AI generated resumes.
  • ✓ Shortage of candidates in high-demand, hard-to-fill roles.
  • ✓ Failed assessment risk after time spent sourcing, processing.
  • ✓ Inaccurate job descriptions generate poor, costly results.
  • ✓ Bulk resume download barriers from job boards require 3rd party apps.
  • ✓ AI parsing inaccuracies using 3rd party data prone to errors.
  • ✓ Inefficiencies caused by the use of multiple sourcing and processing tools.
  • ✓ Speed vs quality tradeoff leads to hiring decision errors and inability to scale.
  • ✓ AI compliance risk results from unstructured processes.
  • ✓ Lack of "asking" compensation data can negatively affect negotiating potential.

Candidate Quality

  • ✓ Overreliance on job boards miss high-quality passive candidates.
  • ✓ Low conversion rates from job ads due to poorly written ads, intense competition and inaccurate matching.
  • ✓ Imperfect matches using keyword searches and 3rd party parsed resume data.
  • ✓ Quota quality compromise resulting from recruiter pressure to process a fixed number of hires a month.
  • ✓ Screening bias due to manual processes.

Candidate Satisfaction

  • ✓ Long hiring process resulting in drop-off.
  • ✓ Unmet expectations resulting from a mismatch between unclear job descriptions and jobs offered.

Recruiter Satisfaction

  • ✓ Burnout from manual processing hundreds of applicants per position.
  • ✓ Stress due to need to meeting hiring quotas.

Brand Perception

  • ✓ Reputation harm. Slow processing signals outdated hiring practices making companies less attractive to top talent.