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 .

Sales Leader

Peec · New York City

About Peec AI

Peec AI is a Berlin-based Series A startup building analytics and intelligence tools for modern SEO and growth teams. As AI reshapes how people discover information online, companies need new ways to understand where they appear, how they perform, and where the next growth opportunities are. Peec AI helps teams measure their visibility across AI search, track performance over time, and uncover opportunities to grow their organic presence in an increasingly complex search landscape.

About the role

We’re looking for a founding Sales Leader to build and lead Peec AI’s expansion into the U.S. market. You’ll be responsible for hiring and developing a high-performing team, setting the standards for our sales culture, and building a repeatable revenue engine. This is a hands-on leadership role: you’ll own targets and forecasting, help close key deals, and work to develop our positioning the American market. You’ll play a central role in shaping how we sell as we grow from early traction into a mature, high-performing sales organization.

What you’ll do

  • Hire, coach, and define the norms for a high-performance sales culture

  • Manage revenue targets, forecast with precision, and drive pipeline visibility

  • Scope and close new business while being a hands-on coach who rolls up their sleeves

  • Operationalize our AE/BDR motion and integrate selling under a PLG motion

  • Partner with founders, Product, and Marketing to align GTM goals and customer feedback

What we're looking for

  • 3+ years of hands-on leadership experience, scaling early-stage SaaS sales teams to a full grown sales org

  • High bar for qualification, with clear ICP definition and disciplined discovery skills

  • Strong operator with a data-driven mindset and sharp commercial judgment

  • Comfortable navigating ambiguity and driving clarity in fast-moving environments

Bonus Points

  • Experience selling AI, MarTech or developer tools

  • Track record of working effectively within both PLG & SLG

  • Familiarity with broad modern sales stack (Gong, Outreach, Apollo, Clay, etc.)

  • Comfortable owning P&L or being part of leadership team making strategic GTM decisions

  • Experience working in a high-growth, venture-backed startup environment

What We Offer:

  • Competitive salary + equity

  • Comprehensive benefits package

  • Collaborative, high-energy in-office work environment

  • Opportunity to make a significant impact and define a new market category


EEOC Statement:

Peec AI is an Equal Opportunity Employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by federal, state, or local law.


Compensation:

The base salary range for this position is $150,000 to $200,000 annually with anticipated on-target earnings being $300,000-$400,000. Actual compensation within this range will be determined based on factors including the candidate's experience, skills, qualifications, and location, in accordance with applicable New York law.

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