Key Takeaways

  • 75% of U.S. employers use automated applicant tracking systems to screen resumes before a human reviews them (Harvard Business School & Accenture, 2021)
  • The most common ATS failures are missing keywords, incompatible formatting, and incorrect file types
  • ResumeGeni scores your resume across 8 parsing layers — modeled on the same steps enterprise ATS platforms like Workday, Greenhouse, and Taleo use to evaluate candidates

How ATS Resume Scoring Works

Applicant tracking systems parse your resume into structured data — extracting your name, contact info, work history, skills, and education — then score how well that data matches the job requirements. Many ATS rejections happen because the parser couldn't extract critical fields, not because the candidate wasn't qualified.

LayerWhat It ChecksWhy It Matters
Document extractionFile format, encoding, readabilityCorrupted or image-only PDFs fail immediately
Layout analysisTables, columns, headers, footersMulti-column layouts break field extraction
Section detectionExperience, education, skills headingsNon-standard headings cause sections to be missed
Field mappingName, email, phone, dates, titlesMissing contact info is a common cause of immediate rejection
Keyword matchingJob-specific terms, skills, certificationsKeyword overlap affects recruiter search visibility and ATS scoring
Chronology checkDate ordering, gap detectionReverse-chronological order is expected by most ATS
QuantificationMetrics, numbers, measurable outcomesQuantified achievements help human reviewers and some scoring models
Confidence scoringOverall parse quality and completenessLow-confidence parses get deprioritized in results

Frequently Asked Questions

Is ResumeGeni free?
Yes. ResumeGeni is currently in beta — ATS analysis, scoring, and initial improvement suggestions are free with no signup required. Full guidance and saved reports may require a free account.
What file formats are supported?
PDF, DOCX, DOC, TXT, RTF, ODT, and Apple Pages. PDF and DOCX are recommended for best ATS compatibility.
How is the ATS score calculated?
Your resume is processed through an 8-layer parsing pipeline that extracts structured data the same way enterprise ATS platforms do. The score reflects how completely and accurately your resume can be parsed, plus how well your content matches common ATS ranking criteria.
Can ATS read PDF resumes?
Yes, but not all PDFs are equal. Text-based PDFs parse well. Image-only PDFs (scanned documents) and PDFs with complex tables or multi-column layouts often fail ATS parsing. Our analyzer will flag these issues.
How do I improve my ATS score?
Focus on three areas: use a clean single-column format, include keywords from the job description naturally in your experience bullets, and ensure all sections (contact, experience, education, skills) use standard headings.

ATS Guides & Resources

Built by engineers with 12 years of experience building enterprise hiring technology at ZipRecruiter. Last updated .

Quality Manager

Foxrobotics · Austin, Texas

Fox Robotics is at the bleeding edge of warehouse automation, with a focus on autonomous forklifts. As the leader in this space, Fox has clear product market fit and is scaling fast. With this growth, employees have a once-in-a-career opportunity to learn, all while working as part of a mission-driven team focused on making robots that work.

What you’ll do:

Work alongside Quality Engineers to improve on-time delivery, first pass yield, and scrap rates. Provide
mentorship and guidance for team member project management and execution. Responsible for root cause
analysis and corrective action plans based on non-conformances identified. Develop project workflows for
quality checks and risk assessment. Drive new product design or improvements based on customer
changes. Provide oversight and development collaboration for the company’s supply chain. Develop and
implement robust quality assurance policies, procedures, and standards to maintain product quality and
regulatory compliance. Develop and execute comprehensive quality control processes, including
inspection protocols, testing methodologies, and documentation systems. Utilize data analysis techniques
and statistical tools to analyze quality performance metrics, identify trends, and drive data-driven
decision-making. Serve as primary point of contact for customer quality inquiries and escalations,
ensuring timely resolution and effective communication. Conduct regular audits and assessments to
monitor quality performance, identify areas for improvement, and implement corrective actions as
necessary. Create and implement quality control protocols for robotics products and systems. Establish
inspection criteria and procedures for components and finished products. Analyze test data to identify
trends, defects, and areas for improvement. Compile and presenting quality reports to management, including recommendations for corrective actions.

Minimum Requirements:    

  • Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Biomedical Engineering, Manufacturing Engineering or related field
  • 36 months of experience in the related areas of Design, Manufacturing, and Quality Management.

Benefits and perks:

  • A once in a career opportunity to build, alongside colleagues who deeply care (plus robots that aren’t bad, either!)
  • Competitive salary and stock options
  • Generous healthcare options
  • Unlimited PTO
  • Other perks that connect us, including lunch on Fridays, team building activities, and more!

 

More About Fox Robotics 

We make robots that work.

Our robotic forklifts are human multipliers: They make it possible for people to do more with less while also creating safer and more efficient working conditions. Doing more with less is how we future-proof supply chain workflows, grow our economy, and provide higher-paying jobs. We make robots that work to make life better.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.