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 .

Marketing Lead

Sazabi · San Francisco

What we're building

In 2026, we're on the verge of an "infinite software crisis." How will we support, maintain, and operate the explosion in application development?

Our answer is Sazabi: the AI-native observability platform for fast-moving engineering teams.

Sazabi gives teams a single place to ask questions about their production systems in plain language, automatically visualize what's happening, and get to the root cause 10x faster. No tedious instrumentation. No dashboard configuration. No alert tuning. Just answers.

We're backed by tastemakers from the world's top AI companies: Vercel, Graphite, Daytona, Browserbase, LangChain, Mastra, Replit, and more.

What you’ll do

  • Own Sazabi’s voice across all channels (X, LinkedIn, blog, website, email)

  • Drive awareness through content, PR, events, and creative campaigns

  • Launch and scale distribution strategies that actually work for developers

  • Collaborate closely with the founder on positioning and messaging

  • Run experiments across channels (organic + paid) and double down on what works

  • Build a brand that developers genuinely like—not tolerate

What we're looking for

  • Proven ability to grow and engage a technical audience

  • Strong writing skills with a clear, opinionated voice

  • Deep intuition for what resonates with developers and AI builders

  • Comfort being hands-on across everything: content, PR, events, ads, etc.

  • Data-informed but not data-paralyzed

  • Extremely high ownership and bias toward action

  • Bonus: experience in devtools, infra, or AI companies

You’ll fit in great if you're excited about Twitter and agents!

What we offer

  • Competitive salary and equity

  • Free lunches (in-office only)

  • Health, dental, and vision insurance

  • Unlimited paid time off

  • Paid parental leave

Learn how we think and work

Our team comes from Brex, Y Combinator, Rootly, Google, Doppel, and other top tech companies. We move fast and hold a high bar for both the product and each other.

We operate according to six values:

  1. Integrity. We say what we mean, do what we say, and own our mistakes.

  2. Urgency. We treat every week like it matters, because it does.

  3. Craftsmanship. We care deeply about the quality of our work.

  4. Service. We're here to make developers’ and our teammates’ lives easier.

  5. Kindness. We're direct, and we move fast, but we treat each other well.

  6. Fun. We genuinely enjoy working together. If you don't love what you're building and who you’re building it with, what's the point?

You can find out more about us here:

The Sazabi philosophy

Sazabi is more than just a tool. It’s also a philosophy. We're taking a radically different approach to observability, centered on three big ideas:

  1. Less is more. Most observability platforms drown you in dashboards and modules that you don’t need. We believe observability needs less UI, not more. Sazabi surfaces exactly the information you need in a simple, beautiful chat interface.

  2. Logs are all you need. The “three pillars of observability” idea is outdated. Sazabi accepts only one kind of telemetry: logs. This simplifies the instrumentation and product experience dramatically.

  3. Monitoring is dead. Creating and maintaining static alerts for a fast-evolving system is a fool’s errand. The future is agentic anomaly detection: AI agents that automatically check your app for issues 24-7.

We came to these beliefs the hard way — after years of building infrastructure and responding to incidents with tools that offered plenty of bells and whistles, but no clear answers when it counted most.

If this way of thinking resonates with you, come build with us.