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 .

Backend Engineer

Gradient Labs · London Office

Backend Engineer

At Gradient Labs, we’re on a mission to make exceptional customer service the norm.

Founded in 2023, we’ve quickly gone from an idea to a growing team with customers you know (and probably love). Our AI agent helps businesses handle even the trickiest, high-stakes customer support queries safely and effectively, all while giving them the visibility and control they need to trust the outcomes.

We’re a small but mighty team of builders from leading companies like Monzo, Pleo, and Google. We work in a hybrid model from our London office, a short walk from Liverpool Street Station, where we collaborate and connect 2-3 days a week.

If you’re excited to tackle some of the hardest problems in AI and help shape the future of customer operations, we’d love to hear from you.

🎯 How you’ll make an impact

This isn't a maintenance role or a feature factory. At Gradient Labs, you will own systems that matter — from the first architectural decision through to production, scale, and everything that breaks along the way.

You'll work on the infrastructure that makes autonomous AI agents actually reliable in the real world. That means building for failure, designing for observability, and shipping with conviction — not waiting for a perfect spec that will never arrive.

  • Build the OS for AI Agents — Contribute to a safe, scalable platform that lets us iterate on autonomous agent capabilities faster than anyone else. You are building the infrastructure that makes AI actually work in production.

  • Ship Resilient Systems — Design and own systems that hold up under failures, retry storms, and resource starvation — with full observability baked in. Reliability is a baseline, not an aspiration.

  • Take Products from 0 → 1 → Scale — Scope something from scratch, make the early architectural calls, and stay responsible for it as it grows. We build with conviction and we see things through.

  • Move Fast, Ship Often — Iterate in small increments. Multiple deploys a day. Comfort with ambiguity is not optional — it is the job. The mission moves faster than the roadmap.

💡 What you’ll bring

  • Substantial tenure building production software at a fast-growing company — fintech, AI, consumer tech, or any environment where pace and stakes were both high

  • Proven experience owning complex, high-stakes systems end to end — not handing off at merge, but staying accountable through observability, iteration, and scale

  • Deep fluency in Go (Golang) and comfort operating across a modern backend stack (PostgreSQL, Temporal, GCP, Kubernetes)

  • A product instinct that goes beyond technical elegance — you think from the customer backwards and bring that into every architectural decision

  • Senior, Staff, Principal or Distinguished level in practice — someone who has operated with real scope and real accountability

  • Genuine excitement for autonomous AI as a platform shift, not a trend — you want to build the infrastructure that makes agents genuinely reliable

  • Strong opinions, loosely held — conviction without ego, and always willing to be wrong in pursuit of the right answer

Why join Gradient Labs?

This is a unique chance to be part of a team working with cutting-edge technology to reshape how businesses will operate in the future. Over the next 10 years, every company will need to embrace AI-powered operations to stay competitive, and this role puts you right in the middle of that transformation.

You’ll tackle challenging and new problems, work with some of the most exciting brands across different industries, and be surrounded by a passionate, smart team that’s driven to build something groundbreaking.