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 .

Customer Impact Engineer (f/m/d)

Manex · Munich

DESCRIPTION

As a Customer Impact Engineer, you’ll take ownership of complex customer projects and make sure our platform delivers real results on the factory floor. You combine excellent project management with a deep understanding of production and data to create measurable impact. You will work with majors client since Day 1 and take decision that shape the company.

OUR MISSION

Manex AI is developing an LLM-native data platform for agentic production control. Industry leaders such as BMW, Audi, BSH, Stellantis, Liebherr, Still, TDK Electronics, and Henkel already rely on Qualitatio, and leading investors such as Lightspeed Venture Partners and BlueYard Technology are backing Manex AI. Our vision is to operate factories fully autonomously with the help of Qualitatio.

With Manex AI, you will join one of the fastest-growing industrial AI scale-ups, where your expertise will be valued from day one, your personal growth will be encouraged, and you’re given full autonomy and responsibility for your decisions.

WHY JOIN US?

Picture this:

  • You will get to build a company together with a brilliant and welcoming team, working on technology that is the cutting edge of tomorrow, starting today and not in 10 years

  • A team who loves solving hard problems, building products that matter, and where knowledge flows fast

  • You will work directly with major clients from Day 1

  • You will act on behalf of the entire company, beyond just your own team

  • You’ll be part of a high-growth company backed by top-tier investors

YOUR ROLE

  • Own project management and coordination of customer integrations across industries

  • Understand production processes and translate them into scalable AI solutions

  • Build rollout and integration strategies for enterprise clients

  • Identify production optimization opportunities and transfer them into concrete applications

  • Strategic collaboration with stakeholders in large industrial organizations, from shop floor to C-level

WHAT SETS YOU UP FOR SUCCESS

  • Degree in Industrial Engineering, Mechanical Engineering, or similar (Plus: PhD)

  • 2+ years of professional experience in consulting, automotive, manufacturing, or tech

  • Solid knowledge of data science and AI in industrial contexts

  • Excellent communication and stakeholder management skills

  • Business-fluent in German and English

  • Based in Munich or willing to relocate, ready to go all-in with us

WHAT WE OFFER

  • Top-of-Market compensation

  • Mentorship & fast learning curve in a high-impact AI-Startup environment

  • Flat hierarchy, direct access to founders, fast decisions

  • Join one of Europe’s most driven and ambitious teams

  • EGYM Wellpass & Deutschlandticket

  • 30 days of paid vacation plus public holidays

HIRING PROCESS

  1. Intro Call (30 min) – culture & fit

  2. Case Interview (60 min) – project & problem-solving

  3. Leadership Session (45 min) – roadmap & growth

  4. Offer – typically within one week