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 .

Founding Engineer

Ambral · New York

What we do

Ambral builds digital models of people and teams that predict what they’ll do next.

Enterprises use these “digital twins” to synthesize signals across product telemetry, support interactions, emails, calls, and operational systems into a coherent understanding of each customer. Our agents then enrich missing context, recommend next-best actions, and execute workflows to help teams deliver the optimal experience for every customer.

We graduated from Y Combinator Summer 2025, raised millions in funding, and are already deploying Ambral within multi-billion dollar enterprises. Now we’re growing our team to go supersonic.

What you'll do

Develop the core platform to ingest data and synthesize “digital twins”, as well as the agentic systems to act on it (eg. Voice, SMS, and Email agents).

You'll work directly with the CTO on all parts of the platform, ranging across:

  • Memory (how do we represent and refine our customer models?)

  • Detection framework (what are the right primitives for building detection agents?)

  • Agent design (how do we turn signals into reliable autonomous actions?)

  • Distributed systems (how do we run 5000 agents in parallel?)

  • Evals (how can we guarantee our agents are always getting better?)

You’ll also interface directly with our customers and own engagements end-to-end.

Who you are

  • You have 3+ years of experience in full-stack development with distributed architectures

  • You’ve built ai systems / pipelines and understand the reliability and observability considerations surrounding them

  • You’ve worked on systems that process and transform massive amounts of data

  • You’re capable of making practical tradeoffs to ship things fast that work, while making architectural decisions that allow us to come back later and scale the system

  • You’re good at explaining complex ideas to non-technical people

  • You love moonshot ideas that feel like magic (eg. realtime UX)

  • You think big and get excited by problems that feel impossible to solve

  • You're looking to do the best work of your life and build something you'll be proud of for decades

Tech stack

Typescript, Nuxt, Postgres, Vercel, Claude Code/Cursor

Benefits

  • Equinox membership

  • Free meals, coffee, and snacks

  • Health insurance

  • Unlimited PTO

  • Relocation assistance to NYC available

This is an in-person role in New York.