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 Engineer

Buildwithfern · New York City

About Fern

Fern helps software companies build a world-class API experience. Our customers include industry leaders like Nvidia, Square, and Twilio, as well as fast-growing AI companies like ElevenLabs and OpenRouter.

In the next year, the majority of API integrations will be implemented by AI agents. Agents don’t read marketing pages. They need strongly typed schemas, structured endpoints, deterministic contracts, and documentation that can be fed into a context window.

Our team is small and talent-dense. We’re a team of builders from Google, Palantir, Amazon, and Uber, working together in Williamsburg, Brooklyn. We were acquired by Postman — giving us access to 40 million users and 98% of the Fortune 500 — while maintaining the independence, speed, and ownership of a startup.

About the Role

As a Sales Engineer at Fern, you’ll work side-by-side with companies who care about their developer experience. You’ll help them understand what’s possible with Fern, answer the tough technical questions they can't get out of our AI assistant, and partner with Account Executives to build trust with prospective customers.

This is a hands-on keyboard role at the intersection of engineering and customer success.

  • Be a trusted partner in complex deals. Many of the companies we work with have multiple stakeholders — engineering leaders, platform teams, product, sometimes even the CEO. You’ll help guide thoughtful, often months-long sales cycles by understanding their real requirements and making sure nothing gets lost in translation.

  • Know the product deeply. Our customers will look to you as a product specialist. Fern covers SDKs, API docs, and CI workflows. You’ll understand how it all works and how it fits into a customer’s stack.

  • Run thoughtful, tailored demos. You won’t give the same demo twice. You’ll shape each one around the customer’s use case, adapt in the moment, and follow up with questions that you can't answer on the spot.

  • Work closely with AEs. You’ll team up with our Account Executives to move deals forward. You’ll know when to jump in, when to push deeper technically, and how to divide the work to keep momentum.

What We’re Looking For

  • You have a Computer Science degree

  • Strong written and verbal communication skills to solve technical problems with customers.

  • Comfort digging into technical details while still connecting them to business outcomes.

  • Bonus: Familiarity with developer tools, APIs, or SDKs.

Benefits

  • Prime office location in the heart of Williamsburg, Brooklyn

  • Paid lunch/meals at the office

  • Health, dental, and vision insurance

  • Unlimited vacation