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 .

Account Executive, Enterprise, Spain - Madrid

Mistral · Madrid

About Mistral  At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary: As our Enterprise Sales Executive, you will be instrumental in shaping Mistral’s adoption with our largest customers across a variety of industries. You will be driving deals end2end: from prospective, first intro call until closing and beyond — together with our dedicated implementation specialist, tech and legal teams. What you will do: Lead development (strategic outbound and qualified inbound): - Handle strategic outreach as well as warm introductions to promising enterprise customers - Converting inbound deals where upselling / more bespoke agreements can be achieved Value prop validation for customer: - Provide hands-on support and guidance to clients during a potential Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process - Leverage successful POC outcomes to facilitate the conversion of POCs into long-term, revenue-generating contracts Deal management & closing: - Develop and execute strategic sales plans to convert leads into valued customers — you are the first point of contact for all external stakeholders and are responsible for properly managing deals and aligning all stakeholders (heavy involvement of customer engineering, product, and commercial teams, both on operational and C-level) - Handle customer negotiation end2end, together with our legal and implementation specialist team Executive Engagement: - Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI, and other key decision-makers within target organisations - Comprehend their specific challenges and needs, positioning our solution as an integral part of their strategic initiatives Technical Aptitude: - Demonstrate a deep understanding of the technical intricacies of our product and articulate its value proposition effectively to potential clients - Work side-by-side with our implementation team to ensure that customer’s questions, concerns and challenges are taken care of during pre-sales, deployment and post-deployment phase - Collaborate with our technical team to address any customer inquiries or concerns Training and enablement: -Empower internal teams with the knowledge and resources that you collect in customer conversations to drive product roadmap and align on priorities Who you are: - 7-10 years experience in Sales (enterprise sales/consultative selling, ideally selling a highly complex, technical product) - Excellent academics: Bachelor and/or Master Degree in Business, Computer Science, or a related field - Significant work experience within AI ecosystem or related data/infrastructure field - Experience at successful fast growing startup, ideally in deep-tech - Strong technical skills to navigate quickly evolving products and steer technical discussions - Excellent English & Spanish, additional language welcome (e.g. German, French, etc.) - Outstanding negotiation and communication skills What We Offer: 💰 Competitive cash salary and equity 🥕 Food : Daily lunch vouchers 🥎 Sport : Monthly contribution to a Gym pass subscription  🚴 Transportation : Monthly contribution to a mobility pass 🧑‍⚕ Health : Full health insurance for you and your family 🍼 Parental : Generous parental leave policy 🌎 Visa sponsorship