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 Success Manager

Compa · Orange County HQ

About Compa

Compa is a venture-backed AI startup revolutionizing the future of compensation.

In a dynamic job market with hiring challenges, accountability, and the rise of AI, companies need the best data to stay ahead of industry changes, competition, and costs. Compa has developed the premier real-time compensation data platform, delivering top-tier compensation intelligence to leading enterprise teams.

Compa is a compensation intelligence company built to augment enterprise compensation teams in the era of AI.

Our customers include the world’s biggest companies: NVIDIA, Stripe, DoorDash, Open AI, TMobile, Moderna, Workday, Ulta, Target, and more.

Locations:

Compa headquarters are located in Irvine, California, with growing sites in Denver, Colorado and San Francisco, California. We’re a collaborative, curious, and driven team that values transparency, ownership, and continuous learning and prioritizing in person work where possible.

The Role:

We are seeking a Customer Success Manager to partner with our largest enterprise customers to increase adoption, usage, and long-term value from our AI Agents products. Acting as a trusted advisor, you will build deep, strategic relationships, develop customer playbooks, and design tailored success strategies that help customers get the most out of Compa data and agents capabilities. You’ll proactively own the success of our newest, leading-edge AI Agents product, working directly with Compa’s top enterprise customers to drive product use at scale. Success in this role is measured by increased product adoption, expanded use cases, and ensuring customers can clearly realize and articulate the value of our AI Agents products.

Key Responsibilities

Accelerate Agents Customer Onboarding & Time-to-Value

  • Lead fast, structured onboarding to get customers live quickly and confidently using AI Agents.

  • Drive early expansion by ensuring customers activate additional agents, use cases, and workflows within the first phases of adoption.

Proactive Drive of Ongoing Customer Value

  • Own ongoing adoption metrics by proactively identifying underutilized queries, features, and workflows, and leading targeted enablement, success plans, and optimization initiatives that increase day-to-day usage, stickiness, and measurable customer outcomes from Compa’s AI Agents.

  • Create and evolve customer playbooks that map agent capabilities to high-impact business use cases.

  • Share relevant peer examples and emerging best practices to continuously inspire new ways customers can extract value from Compa’s AI Agents products.

Build Deep, Trusted Customer Partnerships

  • Develop a strong understanding of each customer’s business, goals, and challenges through curiosity, empathy, and active listening.

  • Act as a strategic advisor, aligning Compa’s data and agents to the areas where they can deliver the greatest business impact.

  • Build strong cross-functional relationships across Sales, Product, and Engineering, acting as a diplomatic connector who elevates collaboration and helps level up the Compa team through shared customer insight and best practices.

Champion the Customer Voice & Product Partnership

  • Gather, clarify, and prioritize customer feedback by translating business needs into actionable product insights.

  • Partner closely with internal teams to advocate for customer-driven improvements and help shape the future of the Compa’s AI Agent products.


Minimum Qualifications:

  • 4 years in Customer Success Management, Account Management, Onboarding or Solutions Consulting

  • Familiarity with AI products, including agents and LLMs, and how they are applied in real-world use cases.

  • Experience designing customer programs, playbooks, or onboarding processes from the ground up.

  • Comfort working directly with customers and prospects in both technical and advisory capacities.

  • Strong communication skills and comfort advising customers on complex and technical topics.

  • Ability to work independently, and proactively drive outcomes with limited oversight.

  • Meticulous attention to detail, organization, and analytical skills; proficient with tools like Excel or Google Sheets.

  • Strong drive to learn and grow by working hard, seeking feedback, and collaborating effectively with teammates.

  • Must have strong curiosity, be empathetic, and show diplomacy.

Preferred Qualifications:

  • 5+ years in Customer Success Management, Account Management, Onboarding or Solutions Consulting

  • Previous work in Compensation, Total Rewards, Human Resource analytics, or People Systems in a B2B SaaS environment.

  • Sound understanding of all elements of compensation (base, incentives, equity), HR systems and how they interact.

  • Experience translating customer feedback into product influence or roadmap input.

  • Demonstrated ability to work directly with C-suite and senior executive stakeholders.