Check Your Resume Before You Apply

Most employers use software (an ATS) to read and rank resumes. See your score and fix it. Free, no signup to check.

ContactMonkey
Senior AI Engineer
Toronto

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How it works

Key Takeaways

  • Automated hiring systems can screen or route resumes before human review; ResumeGeni treats ATS scoring as parser-readiness triage, not a hiring prediction (Harvard Business School & Accenture).
  • The most common ATS-readiness problems are missing keywords, incompatible formatting, incomplete fields, and incorrect file types
  • ResumeGeni scores parseability, structure, contact fields, content completeness, skills, and keyword signals, then explains the evidence behind the score

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 use that data in search, review, and matching workflows. Parsing gaps can make a qualified candidate harder to evaluate.

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 signalsJob-specific terms, skills, certificationsKeyword overlap can affect recruiter search visibility and resume-review workflows
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 extraction means important fields may need manual review

What ResumeGeni Checks Before Keyword Matching

Keyword matching only helps after the resume can be read cleanly. ResumeGeni starts with parser-readiness signals before it evaluates wording, skills, and role fit.

  • Readable text: whether the uploaded file exposes selectable text instead of only a scanned image.
  • Standard resume structure: whether contact, summary, work experience, education, and skills sections are easy to identify.
  • Field extraction: whether names, email addresses, phone numbers, employers, titles, dates, degrees, and skills can be mapped into stable fields.
  • Format risk: whether tables, columns, text boxes, decorative icons, headers, footers, or unusual bullets could interrupt parsing.
  • Evidence quality: whether experience bullets include scope, tools, metrics, and outcomes rather than generic duty lists.
  • Keyword coverage: whether relevant tools, certifications, industry terms, and role-specific phrases appear naturally in the resume.

What Your ATS Score Means

The score is a diagnostic signal, not a hiring guarantee. A high score means ResumeGeni can extract and evaluate the resume with fewer warnings. A low score means the resume likely needs structural fixes before keyword tuning matters.

Score RangeReadBest Next Action
90-100Strong parser readiness with few visible gapsTailor keywords and achievements to the target role
75-89Generally readable, but some sections or evidence may be weakFix warnings, add measurable achievements, and tighten skills
60-74Important content may be missing, vague, or hard to mapRepair structure before rewriting bullets
Below 60Parsing or completeness issues are likely holding the resume backMove to a cleaner format and rebuild core sections first

What To Fix First

Start with problems that prevent a system or recruiter from reading the resume. Save small wording changes for after the structure is clean.

PriorityFixReason
1Use a text-based PDF, DOCX, or plain text resumeImage-only files and corrupted exports cannot be reliably parsed
2Use one column and standard headingsPredictable structure improves section and field detection
3Put contact information in the body, not only the headerSome parsers ignore header and footer regions
4Replace vague duties with quantified achievementsSpecific outcomes help both recruiter review and scoring evidence
5Mirror role language truthfullyRelevant keywords help search and review without keyword stuffing

How To Use the Score Without Overfitting

The best use of an ATS score is triage. Fix problems that make the resume hard to parse or hard to evaluate, then stop when the document is clear. Do not chase a perfect score by adding keywords you cannot defend in an interview or by turning every bullet into a list of tools.

Checker signalGood correctionCorrection to avoid
Low parse confidenceMove to a single-column layout, standard headings, and selectable text.Adding more keywords before the resume can be read cleanly.
Weak evidence bulletsRewrite duties into scope, action, tool, and measurable outcome.Inflating impact numbers or copying sample bullets that do not match your work.
Missing role termsAdd truthful tools, certifications, patient loads, stack details, or workflows from your experience.Keyword stuffing a skills section with technologies you have not used.
Thin company fitCompare the resume with the target role and company application guide before applying.Submitting the same generic version to every employer.

Methodology And Limits

ResumeGeni checks format, extraction, content completeness, and keyword signals from the uploaded resume. It does not certify that every employer ATS will parse the file the same way, and it does not predict whether a recruiter will interview you.

For the scoring rubric, privacy notes, and limitations, read the ATS Resume Checker Methodology. For the broader source map behind ResumeGeni guidance, use the research hub and dated research data dashboard. For application context, use the exact company application guide or role guide that matches the job.

What the Checker Can Diagnose

Treat the ATS resume checker as a document-readiness diagnostic, not a hiring prediction. A useful check should tell you whether the resume text can be extracted, whether the major sections are recognizable, whether contact fields are present, whether bullets contain evidence, and whether role language appears naturally enough for a reviewer to understand the match.

Diagnostic areaWhat ResumeGeni looks forBest correction
Text extractionSelectable text, readable file structure, and parser confidence.Use a text-based PDF, DOCX, or pasted text version before changing wording.
Section recognitionStandard headings for contact, summary, experience, education, skills, projects, and certifications.Rename creative headings to conventional resume sections and keep content in the document body.
Evidence qualityBullets with scope, action, tools, and measurable outcomes rather than generic duties.Rewrite the most recent role first, then work backward through older experience.
Role alignmentTruthful keywords, credentials, systems, technologies, and responsibilities that match the target role.Compare the resume with a role guide and a real posting before adding or removing terms.

Pair the Score With a Role Guide

An ATS score is the starting point. After the resume is readable, compare it with the role you are targeting so your skills, bullets, and keywords match the actual posting without keyword stuffing.

Resume pathUse this guide when the checker flagsBest next page
ClinicalMissing license, certification, patient-load, unit, EHR, or care-outcome evidenceRN resume guide
TechnicalThin stack detail, unclear shipped features, missing testing, deployment, or performance evidenceFull-stack developer resume guide or Android developer resume guide
PortfolioCase studies, client scope, shipped work, project outcomes, or collaboration signals are too vagueProduct designer resume guide or Freelancer resume guide
People operationsHRIS, compliance, hiring, retention, employee-relations, or policy examples are missingHuman resources manager resume guide

Where This Checker Fits in the Application Path

Use the checker as a diagnostic gate between drafting and applying. It is strongest when the next action is specific: fix parsing risks, rewrite vague bullets, add missing role evidence, or compare the resume against a real posting. It is weaker when treated as a hiring predictor or a substitute for role judgment.

Signal from the checkerBest next pageReason
Formatting or parsing warningsATS compatibility methodologyReview the scoring categories and limits before changing the file structure.
Weak or generic experience bulletsResume guides by job titleFind role-specific examples and replace duties with evidence, scope, and outcomes.
Missing tools, systems, or certificationsSkills guides by job titleCheck which skills belong in the resume and which should appear only when truthful.
Company-specific application concernsCompany application guidesCompare employer context, ATS signals, and open-role language before final tailoring.

Sources Used For This Checker

ResumeGeni's checker combines product analysis with public resume-writing, occupational, and structured-data references. These sources inform parser-readiness guidance; they do not certify that any employer or ATS vendor will score a resume the same way.

Frequently Asked Questions

Is ResumeGeni free?
Yes. 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 parsed into structured fields such as contact information, experience, education, and skills. The score reflects how cleanly ResumeGeni can extract those fields plus format, content, and keyword signals.
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.

Preferred ATS Checker Resource Spine

Built by ResumeGeni. Methodology, sources, and limitations are documented above. Last updated .

Senior AI Engineer

ContactMonkey · Toronto

Hey there! We’re ContactMonkey 👋

Our mission? To power measurable employee engagement worldwide. And we’d love for you to join us!

 

About the job - AI Engineer

Join the Engineering Team, where you’ll help shape and build our agentic future. 

You’ll work closely with our Product and Engineering Teams, and our Chief Product & Technology Officer (CPTO), to turn vision into reality, partnering with a small, high-impact team to design, prototype, and ship AI-powered capabilities quickly. This role is hands-on and iterative, focused on building production-grade agentic workflows that improve how internal communications are curated, designed, delivered, measured, and orchestrated.

 

Your impact

  • Architectural Ownership: Contribute to the technical vision for our AI layer, driving technology adoption and research initiatives from spike to task breakdown, with a focus on core AI infrastructure to ensure our systems are robust and scalable.
  • Agentic Design & Orchestration: Move beyond simple features to architect and implement robust agentic workflows, multi-agent systems, intelligent system behaviors, and orchestration patterns (e.g., dynamic routing, autonomous agents, feedback loops).
  • Strategic Execution & Experimentation: Operate with autonomy by building and executing against a 3-month strategic roadmap while refining work as you learn. Design and execute different approaches and experimentation frameworks to benchmark model value, measure success, and systematically iterate on prompts and model configurations.
  • Production Ownership & Reliability: Own the reliability and scalability of AI subsystems in production, so our AI layer stays trustworthy as it grows. This includes designing and implementing comprehensive testing strategies that move beyond existing framework, focusing on systematic testing of LLM responses and failure modes.
  • Cross-Functional Partnership: Collaborate closely with Product Management and the CPTO to translate business vision into concrete technical specifications and product-facing or internal workflow automation tools.
  • Lead by Example: Be active within your team and the company. Participate in meetings; volunteer to lead initiatives; escalate questions or issues when necessary. Act as a subject matter expert for complex subsystem troubleshooting, cross-org dependencies, and architectural reviews, including how to structure and maintain documentation (e.g., using agents, markdown, or external Knowledge Bases).
  • Cultural Stewardship: Be a full participant in helping the engineering culture evolve as we grow.

 

About you

  • You hold a Bachelor’s degree (or higher) in Computer Science, Statistics, Mathematics, or Engineering, or equivalent practical experience.
  • 7+ years of professional software engineering experience, including 2+ years building AI/ML or data-driven systems in production SaaS environments
  • You possess deep technical proficiency in AI systems, including handling complex subsystem interactions and dependencies.
  • You've moved LLM work past prototypes into production—thinking through eval frameworks, monitoring output quality, and iterating on prompts based on real-world performance.
  • You understand how to structure LLM calls for reliability: using function calling to ground outputs, testing responses systematically, and designing for failure modes (hallucinations, latency, cost).
  • You have working knowledge of multi-agent orchestration frameworks and RAG architectures, including vector stores.
  • You prioritize a "question first, then answer" approach, thinking critically about problems before committing to a code path.
  • You bring intellectual humility, empathy, and strong listening skills to the team; you lead by example.
  • You are able to work collaboratively and independently.
  • You are comfortable with agile development.
  • You have excellent oral and written communication skills.

 

How you can stand out 

  • You have designed and shipped autonomous workflows where LLMs reason across multiple steps, make decisions based on tool outputs, and adapt their behavior based on feedback.
  • You have previous experience working within the email ecosystem or similar high-scale communication platforms.
  • You have a proven track record of rapid prototyping, iterating quickly on features, and leveraging data to pivot when necessary.
  • You act as a catalyst for new engineering principles and tools within your current organization, helping to raise the technical bar for your peers.

 

What we bring to the table 

🏥 100% employer-paid benefits + a Health Spending Account from day one

🌎 Work from anywhere in the world for up to 4 weeks

💰 Stock option plan—own a piece of our success

💲 RRSP Group Savings Plan to plan for your future

🏝 Generous vacation package to recharge and relax

📚 Personal development budget to fuel your growth

🧖 One personal day + two volunteering days to give back

🎂 Your Birthday off—celebrate on us!

🍎 Five health days per year to stay at your best

💼 Beautiful downtown Toronto office for hybrid work—fully stocked with all the best snacks

 

Compensation & Work Details

Compensation is thoughtfully determined based on your experience, skill set, and alignment with our internal compensation framework and internal equity.

We’re always happy to answer questions about compensation throughout the hiring process.

This is a net new position for our AI Engineering Team based out of our downtown Toronto office, at King and Spadina. Our team works in the office 3x per week or as needed to promote collaboration 

 

Who We Are 

Imagine being part of a team of brilliant minds, all shaping the future of workplace communication. Here at ContactMonkey, we’re not just sending out traditional emails with our internal comms software; we’re changing the way companies connect and communicate with their people. Brands like IKEA, Roku, KMPG, and countless others are using our solution to transform employee engagement.

Our all-in-one platform—featuring a drag-and-drop email builder, engagement tools, and analytics—makes it easy for businesses to create, send, and measure their internal email campaigns directly within Outlook or Gmail. This way, internal communications go from being ignored to binge-worthy, sparking more opens, clicks, and conversations.

We’ve been on an explosive growth streak over the past few years, and we’re not slowing down anytime soon. Here’s a bit of what we’re proud of:

  • Ranked by the Globe & Mail as one of Canada’s fastest-growing companies
  • Recognized in 2023, 2024 and 2025 Deloitte Technology Fast 50™ awards for revenue growth over the past four years
  • Recognized in 2023, 2024 and 2025 Deloitte Technology Fast 500™ as one of the fastest-growing companies in North America
  • Raised $55 million Series A financing in 2023

 

Diversity is our strength

At ContactMonkey, we are building diverse products and we need a diverse team to do that. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. 

We are committed to creating an accessible experience for all candidates. If you require any accommodations or adjustments during the interview process or beyond, please inform us, and we will work with you to ensure the necessary support is in place. We are continually striving to enhance our accessibility practices and welcome any feedback or suggestions on how we can better serve candidates with accessibility.

 

AI Disclosure: 

We use AI to take notes during our interview. Applications and interviews are reviewed by our Talent Acquisition team. Our applicant tracking system utilizes AI for workflows and hiring process efficiencies.