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 .

GTM Engineer

Navan · San Francisco, CA

We are hiring a highly technical and business-savvy Senior GTM Engineer for our Revenue Analytics team. This crucial role connects AI, data architecture, and sales strategy. You will identify, architect, and deploy high-impact Generative AI and agentic solutions across our GTM tech stack. The ideal candidate is an expert in building interconnected data layers, driving AI adoption across Field Sales and RevOps, and translating complex business challenges into scalable, automated technical workflows that directly boost revenue.

What You’ll Do:

  • Identify and define high-impact AI use cases, taking them from prototype to full deployment within our CRM and sales workflows.
  • Architect an interconnected GTM data layer that bridges marketing, sales, and conversational intelligence tools, enabling AI agents to seamlessly query and connect context across our entire tech stack.
  • Enable the Field Sales and RevOps teams by building internal AI champions, educating stakeholders, and aggressively pushing the adoption of new AI workflows.
  • Stay ahead of AI trends and best practices, particularly in Generative AI, LLMs, and agentic systems, to bring cutting-edge strategies to the revenue team.
  • Conduct rolling audits of our existing GTM tech stack to maximize the native AI features of the tools we already pay for.

What We’re Looking For:

  • 4-6+ years of experience in GTM Engineering, Business Systems, Revenue Operations, Solutions Engineering, Data Engineering, or similar technical operational roles within B2B SaaS, AI/ML, or high-growth environments.
  • Proficiency in Python, JavaScript, and SQL, with a strong track record of coding real API integrations, building lightweight automations, and manipulating complex data.
  • Extensive experience architecting workflows and orchestrations using platforms such as Zapier, Make, n8n, Workato, Clay, or similar modern automation tools.
  • Strong business acumen with a deep understanding of sales cycles, marketing funnels, post-sale delivery, and how data directly influences revenue outcomes.
  • Proven track record of taking deep ownership of ambiguous problems and translating raw business requirements into scalable, automated technical solutions.
  • Hands-on experience building and deploying AI-enabled workflows, copilots, or agents for business teams using tools like Claude Code or OpenAI agent builder.
  • Strong analytical and problem-solving abilities coupled with a high attention to detail.

The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal parity.

For roles with on-target-earnings (OTE), the pay range includes both base salary and target incentive compensation. Target incentive compensation for some roles may include a ramping draw period. Compensation is higher for those who exceed targets. Candidates may receive more information from the recruiter.

Pay Range
$123,750$215,000 USD