US Job Hero

US Job Hero

The image captures a moment of dynamic motion, depicting a male basketball player in mid-air as he reaches to shoot or pass the basketball.

US Job Hero

The image captures a moment of dynamic motion, depicting a male basketball player in mid-air as he reaches to shoot or pass the basketball.

Problem

Searching for a role in today’s U.S. job market has become a grind. Every platform—LinkedIn, Workday, Indeed, ZipRecruiter, Greenhouse and Lever—expects the same résumé, answers and credentials to be re-entered in slightly different ways. Candidates spend fifteen to twenty minutes per posting adjusting keywords, uploading PDFs, pasting work history, and drafting a fresh cover letter. Juggling those repetitive steps while tracking which résumé version went where quickly leads to application fatigue, silent ATS rejections, and an extended job-hunt that steals both time and morale.

The image captures a dynamic, high-contrast moment of a basketball player in mid-air against a plain bright background.

Solution

US Job Hero turns that ritual into a single, intelligent workflow. After you upload your CV, the agent parses it locally, detects the key competencies recruiters want, and stores your answers securely. From there, you simply choose open roles; the system tailors the language, autofills every required field on LinkedIn, Workday, Indeed, ZipRecruiter and dozens of other portals, and presses “submit” on your behalf. In early pilots, the active time per application dropped from roughly eighteen minutes to under ninety seconds—a 92 % reduction—allowing one user to send forty quality applications in the time it used to take to craft four.


The agent’s knowledge base includes language models tuned on more than twelve million U.S. job descriptions and recruiter notes, so each résumé variant and cover letter is optimized for the specific skills, tone and keywords that surface in applicant-tracking systems. A real-time dashboard then follows each submission, reporting open rates, screening outcomes and interview invitations, and automatically A/B-testing alternate résumé versions to push callback rates up—early adopters saw as much as a three-fold lift. Privacy remains central: all parsing occurs locally, credentials are end-to-end encrypted, and the platform is built toward SOC 2 compliance. Over a typical three-month search, users reclaim an estimated 120 working hours and save several thousand dollars in opportunity cost, while recruiters receive consistent, high-quality submissions that speed their own screening process.


US Job Hero doesn’t just fill forms faster; it converts a stressful scatter-shot search into a focused, data-driven funnel that moves candidates from application to interview—and onward to offer—at record speed.

Problem

Searching for a role in today’s U.S. job market has become a grind. Every platform—LinkedIn, Workday, Indeed, ZipRecruiter, Greenhouse and Lever—expects the same résumé, answers and credentials to be re-entered in slightly different ways. Candidates spend fifteen to twenty minutes per posting adjusting keywords, uploading PDFs, pasting work history, and drafting a fresh cover letter. Juggling those repetitive steps while tracking which résumé version went where quickly leads to application fatigue, silent ATS rejections, and an extended job-hunt that steals both time and morale.

The image captures a dynamic, high-contrast moment of a basketball player in mid-air against a plain bright background.

Solution

US Job Hero turns that ritual into a single, intelligent workflow. After you upload your CV, the agent parses it locally, detects the key competencies recruiters want, and stores your answers securely. From there, you simply choose open roles; the system tailors the language, autofills every required field on LinkedIn, Workday, Indeed, ZipRecruiter and dozens of other portals, and presses “submit” on your behalf. In early pilots, the active time per application dropped from roughly eighteen minutes to under ninety seconds—a 92 % reduction—allowing one user to send forty quality applications in the time it used to take to craft four.


The agent’s knowledge base includes language models tuned on more than twelve million U.S. job descriptions and recruiter notes, so each résumé variant and cover letter is optimized for the specific skills, tone and keywords that surface in applicant-tracking systems. A real-time dashboard then follows each submission, reporting open rates, screening outcomes and interview invitations, and automatically A/B-testing alternate résumé versions to push callback rates up—early adopters saw as much as a three-fold lift. Privacy remains central: all parsing occurs locally, credentials are end-to-end encrypted, and the platform is built toward SOC 2 compliance. Over a typical three-month search, users reclaim an estimated 120 working hours and save several thousand dollars in opportunity cost, while recruiters receive consistent, high-quality submissions that speed their own screening process.


US Job Hero doesn’t just fill forms faster; it converts a stressful scatter-shot search into a focused, data-driven funnel that moves candidates from application to interview—and onward to offer—at record speed.