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 Solutions Engineer

Sift · Remote - USA

Our Technical Support & Solutions team plays a vital role in ensuring the success of our customers by troubleshooting and resolving product issues related to the Sift digital trust and safety platform.

As a Customer Solutions Engineer at Sift, you are the bridge between the customer-facing team and the engineering and product teams. You explain complex ideas to customers and relay customer needs to engineering and product. When a customer’s needs and our product don’t fully align, you’re the internal customer advocate who drives critical solution changes and refinements to our offerings.

What you’ll do:

  • Own the most complex customer issues: Customer Solutions Engineering is a team of highly technical customer-facing experts. You’ll partner closely with our Customer Success Management as the technical liaison to Enterprise/Strategic accounts, and make sure they maximize Sift value. This team is responsible for building a deep understanding of customers’ business problems, technical requirements and success criteria -- empowering customers to solve complex business problems.

  • Support the customer lifecycle: You will be the customer’s technical point of contact throughout their relationship with Sift, while also partnering with our Support team. You’ll understand the customer's business and technical needs. Day to day this involves understanding the nuances of their integration, working alongside Sift’s data science team to ensure the customer’s machine learning model health, meticulously whiteboarding the flow of their data to expand their integration, and being the internal voice of the customer. In short, you’ll do whatever it takes to make the customer successful.

  • Automate and Optimize: You will apply your deep technical and customer knowledge to help iterate on and improve internal and external processes. For some customers, you’ll write custom queries and scripts to calculate metrics to prove ROI, and optimize recurring processes. Internally, you will automate tasks, and take innovative approaches to problem-solving that will have the power to help guide internal decision-making.

What would make you a strong fit:

  • 5+ years in a technical customer-facing role

  • Close cross-functional collaboration with data science, engineering and product

  • Outstanding communication skills, including the ability to communicate complex technical and business concepts to developers and non-developers

  • Creative, ​coachable, ​collaborative, goal-oriented, ​and thoughtful​. You have a strong work ethic​ and are committed to excellence

  • You have a growth mindset - you enjoy learning new skills, and applying it to technical challenges

  • You are resourceful and proactive. If something seems strange, you’ll investigate. You are not afraid of challenging the status quo

  • Strong experience writing scripts and queries to build internal tools and data pulls (For example: SQL, Python, Bash scripting) and comfort with APIs and web technologies

  • Ability to prioritize, and deliver on multiple projects in tandem. You thrive under pressure and enjoy clarifying ambiguous situations

  • Bonus points for experience in the B2B payments and/or fraud space

A little about us:

Sift is the AI-powered fraud platform securing digital trust for leading global businesses. Our deep investments in machine learning and user identity, a data network scoring 1 trillion events per year, and a commitment to long-term customer success empower more than 700 customers to grow fearlessly. Global brands rely on Sift to unlock growth and deliver seamless consumer experiences. Visit us at sift.com and follow us on LinkedIn.