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 .

Enterprise Account Executive

Hextechnologies · SF, NYC, or Remote (EST)

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Excerpt: We’re looking for an Enterprise Account Executive to join our Sales organization.

Status: Open

Location: SF, NYC, or Boston

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About the Role

In August of 2021, Hex began building out its Sales team. Since then our customer base has grown, we have a ton of momentum in the market, and we’re continuing to build a world-class sales organization.

We’re looking for an Enterprise Account Executive to join our Enterprise Sales organization focusing on companies with 2,500+ employees. We’ve seen incredible success growing our customer base in this category with companies like Toast, Cruise, Rivian and many more. We intend to double down on this success and make Enterprise accounts central to our growth strategy.

In this role, you’ll be reporting to our Enterprise Sales Leader. Additionally, you’ll be strategizing and executing on closing new business and expanding our footprint with existing customers.


On any given day you might find yourself:

  • Responsible for building new pipeline and driving revenue within your assigned territory
  • Deeply understand your customers' business challenges and how to position Hex as the solution
  • Partner with Sales Engineering to run discovery, demos, POCs, and technical reviews
  • Manage the sales-cycle including lead generation, qualification and other deliverables for closing deals while consistently meeting and exceeding sales goals
  • Provide input back to engineering, product management and marketing
  • Create and deliver accurate forecasts

About You

To be successful in this role, you will:

  • Proven track record selling technical software in the data, DS/ML, or analytics space
  • Understand and be able to teach complex technical concepts.
  • Can speak confidently about the challenges data practitioners encounter in their day-to-day workflows
  • Passionate / curious about the data & analytics space
  • Capable of managing large, complex deal cycles involving multiple customer stakeholder groups
  • Capable / willing to learn basic SQL (if you haven't already)
  • Possess an enthusiasm for working as part of a team and an ability to partner successfully with cross-functional peers such as product, engineering, customer success, etc.
  • Be comfortable in a fast-paced, often ambiguous environment.
  • Love giving and receiving feedback.
  • Are located in the SF, NYC, or Boston metro areas

In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.

The on-target-earnings (OTE) for this role is: $320,000

The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.

By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.