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 .

Senior Backend Engineer

Doss · San Francisco

Who are we

We’re building the “Terraform for operators” — an AI‑generated schema layer driving a white‑labeled data warehouse that lets physical‑goods companies evolve their systems of record as fast as their business operations change.

Think AI foundation models driving schema migrations, real‑time observability across ops/finance data, complex git versioning of schema and data changes, and workflows you compose like infrastructure code.

What you'll do

  • Design the core EAV data model & schema‑as‑code platform that powers every customer’s instance, balancing extreme flexibility with transactional integrity.

  • Build a Git‑style version‑control + migration engine capable of rolling forward/back complex schema and data changes on live production tenants in enterprise settings.

  • Engineer AI‑assisted tooling that uses foundation models to propose, validate, and apply new customer schemas and workflow definitions.

  • Scale our white‑labeled data warehouse (BigQuery/Snowflake‐like) for high‑volume, low‑latency analytics and automation workloads.

  • Create Terraform‑like declarative APIs & SDKs so ops teams can treat business processes as code while you ensure security, tenancy, and performance.

  • Deliver end‑to‑end observability & search across supply‑chain, finance, and ops data—surfacing business logic in plain language through AI‐native search.

  • Build Enterprise guard rails into a composable system to proactively detect anomalous behavior or risky emergent patterns

  • Mentor and shape engineering culture, partnering with product and design to turn unsexy back‑office pain into elegant, resilient systems loved by operators.

What you're good at

  • Expertise building large scale ETL on databases like Postgres, Elasticsearch, DuckDB, Memgraph (Graph DB), etc

  • Using cloud services to build + deploy reliable web applications

  • Working in abstractions to build complex graph-based architectures that scale

About you

  • Team player: you bring positivity, openness, and curiosity to the team every day.

  • Growth mindset: everything is an opportunity to learn and improve yourself, the team, and the company.

  • Craftsmanship: you care about making something of quality.

  • Pragmatic: you make the right decision based on circumstance, not theory.

  • Low Ego: you work best in collaborative environments where everyone supports the team.

We have top-notch benefits

  • Premium comprehensive medical, dental, and vision insurance.

  • Unlimited PTO and mandatory US Holidays.

  • 401(k), immediate eligibility.

  • Fitness, commuter (BART/MUNI/CalTrain), and equipment stipends.

  • Premier office space with snacks, drinks (caffeinated, carbonated, coffee), and guest appearances by Nicolas Cage.

  • Lunch catered into office 4 days per week.

  • Relocation assistance available.

Compensation

  • The salary range for this role is $180k-$230k.

  • Strong equity component: we believe employees building Doss deserve ownership.

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