How Different ATS Systems Work: Taleo, Workday, iCIMS & More

How Different ATS Systems Work: Taleo, Workday, iCIMS & More

Most resume advice treats ATS as a single, monolithic system. "Optimize for ATS" they say, as if there is one ATS that all companies use. In reality, there are dozens of different applicant tracking systems, each with its own parsing engine, scoring algorithm, and quirks.

This matters because a resume that passes Greenhouse with flying colors might struggle with Taleo. The formatting that Workday handles gracefully might confuse iCIMS. Understanding these differences gives you a real advantage because you can optimize for the specific system you are applying through, not just a generic idea of "ATS."

In this guide, we are going to break down the six most widely used ATS platforms, how each one parses and scores resumes, and what you can do to optimize for each. Whether you are applying to a Fortune 500 company running Taleo or a startup using Lever, you will know exactly what to do.

1. Why You Need to Know Which ATS a Company Uses

Different ATS platforms have different strengths, weaknesses, and scoring methodologies. Knowing which system you are dealing with lets you make smarter optimization decisions.

The practical differences include how the system handles PDF versus DOCX files, whether it uses exact keyword matching or semantic matching, how it weighs different sections of your resume, whether it parses tables and columns correctly, and how configurable the scoring thresholds are.

How to Identify a Company's ATS. The easiest way is to look at the URL when you click "Apply" on a company's careers page.

Taleo: The URL will contain "taleo.net" or "oracle.com/taleo"
Workday: The URL will contain "myworkdayjobs.com" or "wd5.myworkdayjobs.com"
iCIMS: The URL will contain "icims.com" or "jobs-[companyname].icims.com"
Greenhouse: The URL will contain "greenhouse.io" or "boards.greenhouse.io"
Lever: The URL will contain "lever.co" or "jobs.lever.co"
BambooHR: The URL will contain "bamboohr.com"

You can also check the page source code (right-click > View Source) and search for the ATS name. Some browser extensions can identify ATS platforms automatically.

Once you know the system, you can tailor your formatting and keyword strategy accordingly. Let us look at each one.

2. Taleo (Oracle): How It Parses and Scores Resumes

Market Share: Taleo powers hiring at approximately 30% of Fortune 500 companies, making it one of the most encountered systems. Major users include Coca-Cola, Boeing, Starbucks, and many large government contractors.

How Taleo Parses. Taleo uses its own proprietary resume parser. It attempts to identify and extract contact information, job titles, company names, employment dates, education details, and skills. The parser works best with simple, linear formatting and has known difficulties with complex layouts.

Key characteristics:

• Prefers DOCX over PDF. While newer Taleo versions can handle text-based PDFs, DOCX has historically been more reliable. Always submit DOCX to Taleo.


• Struggles with tables and columns. Taleo's parser reads linearly and can scramble multi-column content.


• Uses configurable keyword scoring. Employers can set weighted keywords, meaning some keywords count more than others. Required skills are weighted higher than preferred skills.


• Supports knockout questions. Many Taleo implementations include pre-screening questions that can automatically disqualify you regardless of your resume content. Answer these carefully.


• Has a resume builder feature. Some Taleo implementations let you paste your resume and then edit the parsed fields. Always review and correct the parsed data before submitting.

Taleo Optimization Tips:

• Always submit as DOCX.


• Use a single-column layout with no tables whatsoever.


• Put your contact information in the document body, not in headers.


• Use exact keyword matches from the job description. Taleo tends toward exact matching over semantic matching.


• Include both acronyms and full terms: "Project Management Professional (PMP)."


• If the application includes a text field to paste your resume, paste it AND upload the file. Taleo sometimes parses the pasted text more accurately than the uploaded file.


• Fill out all optional fields in the application form. Taleo uses form data for screening in addition to resume parsing.

3. Workday: The Skills-First ATS Approach

Market Share: Workday is the fastest-growing ATS and is used by approximately 25% of Fortune 500 companies. Major users include Netflix, Amazon, Airbnb, Target, and many tech companies.

How Workday Parses. Workday takes a different approach from Taleo. Rather than just parsing a document, Workday focuses heavily on structured skills data. When you apply through Workday, you often fill out a skills profile in addition to uploading your resume. The system matches your skills profile against the job requirements.

Key characteristics:

• Skills-centric matching. Workday places enormous weight on the skills you explicitly list, sometimes more than the content of your uploaded resume.


• Better PDF handling. Workday's parser handles both PDF and DOCX well. PDF is generally safe here.


• Semantic matching capabilities. Workday uses AI-powered matching that can recognize synonyms and related terms. "Machine learning" and "ML" will both register.


• Structured application forms. Workday applications typically ask you to input your work history, education, and skills manually in addition to uploading a resume. The system scores the structured data first.


• Integration with LinkedIn. Many Workday implementations allow you to import your LinkedIn profile, which populates structured fields automatically.

Workday Optimization Tips:

• Fill out the skills section thoroughly. Do not just upload your resume and skip the manual fields. The skills you enter in Workday's structured form carry heavy weight.


• Use the job description's exact skill terminology in the skills fields.


• Include both hard skills and soft skills in your skills profile.


• Your uploaded resume should reinforce the skills listed in your profile.


• If given the option to import from LinkedIn, do it -- but then review and supplement the imported data.


• DOCX is recommended, but PDF is safe for Workday.

4. iCIMS: Keyword Matching and Scoring Logic

Market Share: iCIMS is used by approximately 20% of Fortune 500 companies and is especially popular in healthcare, retail, and financial services. Major users include Target, UnitedHealth Group, and Southwest Airlines.

How iCIMS Parses. iCIMS uses a built-in parsing engine that extracts text and organizes it into structured categories. It then compares extracted keywords against the job posting's requirements.

Key characteristics:

• Strong keyword matching. iCIMS uses both exact and partial keyword matching, giving you credit for close matches as well as exact ones.


• Category-based scoring. iCIMS organizes keywords into categories (technical skills, soft skills, education, certifications) and can be configured to weight categories differently.


• Handles multiple file formats. iCIMS parses DOCX, PDF, RTF, and plain text files reasonably well.


• Employer-configurable scoring. Like Taleo, iCIMS allows employers to set custom scoring weights, knockout criteria, and minimum score thresholds.


• Candidate portal. iCIMS maintains a candidate profile that persists across applications to the same company. Your profile accumulates data over time.

iCIMS Optimization Tips:

• Focus on keyword density across all sections of your resume. iCIMS evaluates keywords throughout the entire document, not just specific sections.


• Use standard section headings. iCIMS's parser is trained on standard headings and may miss content under creative section names.


• Include certifications prominently. iCIMS typically weights certifications as high-value keywords.


• Submit as DOCX for best compatibility, though PDF also works.


• If you are applying to multiple jobs at the same company, remember that iCIMS maintains your profile. Tailor each resume, but be consistent in your core information.

5. Greenhouse: Structured Hiring and Resume Parsing

Market Share: Greenhouse is popular among tech companies, startups, and mid-size firms. Users include HubSpot, Cisco Meraki, InVision, and Glossier.

How Greenhouse Parses. Greenhouse uses a modern parsing engine that is notably more advanced than Taleo or iCIMS. It leverages machine learning to extract and categorize resume content, and its structured hiring approach means resumes are evaluated against clearly defined scorecard criteria.

Key characteristics:

• Advanced parsing technology. Greenhouse handles a wide range of formatting better than older systems. While simple formatting is still recommended, it is more forgiving of minor formatting variations.


• Scorecard-based evaluation. Greenhouse prompts recruiters to evaluate candidates against specific, predefined criteria. Your resume needs to clearly address these criteria, which are usually reflected in the job description.


• Semantic matching. Greenhouse uses AI-powered matching that understands context, synonyms, and related terms. "Led a team" and "team leadership" will both match against a "leadership" requirement.


• Good PDF handling. Greenhouse parses both DOCX and PDF effectively.


• Integration-heavy. Greenhouse integrates with many other tools, and some companies use it alongside skills assessment platforms. Your resume may be just one data point.

Greenhouse Optimization Tips:

• Focus on demonstrating competencies rather than just listing keywords. Greenhouse's scorecard approach means recruiters are looking for evidence of specific abilities.


• Use achievement-oriented bullet points with metrics. "Increased customer retention by 22% through implementation of new onboarding workflow" is exactly what Greenhouse's structured evaluation system is designed to surface.


• Both DOCX and PDF are safe.


• Your summary section should directly address the top 3-4 requirements from the job description.


• Include specific tools and technologies mentioned in the JD, but frame them within achievement context.

6. Lever: Relationship-Based Scoring

Market Share: Lever is popular among tech startups, scale-ups, and progressive companies. Users include Netflix (for some divisions), Shopify, and KPMG.

How Lever Parses. Lever positions itself as a "talent relationship management" platform rather than a traditional ATS. It emphasizes building candidate relationships over transactional application processing.

Key characteristics:

• Candidate-centric approach. Lever maintains comprehensive candidate profiles that track all interactions, not just individual applications.


• Modern parsing engine. Lever's parser is among the most advanced, handling various formats and layouts with reasonable accuracy.


• Source tracking. Lever tracks how candidates find the company, which can influence how applications are routed.


• Collaborative evaluation. Lever is designed for multiple team members to evaluate candidates, so your resume may be viewed by several people with different priorities.


• Less rigid scoring. Lever is generally less algorithmic than Taleo or iCIMS. While keyword matching still matters, the system is designed to surface good candidates for human evaluation rather than strictly filter.

Lever Optimization Tips:

• Focus on making your resume compelling for human readers, not just machines. Lever's system is designed to surface resumes for collaborative human review.


• Keywords still matter, but natural placement is more important than keyword density.


• Both DOCX and PDF work well.


• Include a strong professional summary that tells your story clearly.


• Quantified achievements resonate strongly in Lever's collaborative evaluation model.

7. BambooHR, SAP SuccessFactors, Oracle HCM: Quick Guide

BambooHR. Popular among small to mid-size companies. BambooHR's ATS is simpler and less aggressive in filtering. It parses resumes into a candidate profile and organizes applications, but typically does not use complex scoring algorithms. Optimization tip: Standard formatting and keyword alignment are sufficient. BambooHR is one of the more forgiving systems.

SAP SuccessFactors. Used by large enterprises, particularly in manufacturing, energy, and European companies. SuccessFactors uses competency-based matching and can be configured with complex scoring rules. Optimization tip: Focus on competency keywords and use the exact terminology from the job posting. Submit as DOCX. Fill out all application form fields completely.

Oracle HCM Cloud. If you need to optimize your Oracle HCM resume format, know that Oracle's newer cloud-based HR platform (separate from Taleo) uses modern parsing and AI-powered matching. It shares some DNA with Taleo but has improved parsing capabilities. Optimization tip: Treat it similarly to Taleo but with slightly more confidence that semantic matching and PDF parsing will work. DOCX is still the safest choice.

JazzHR. Popular among small businesses and startups. JazzHR's parsing is basic but functional. The system is less likely to aggressively filter candidates and more focused on organizing applications for manual review. Optimization tip: Standard formatting is sufficient. Focus on keywords in your summary and skills sections.

SmartRecruiters. Growing platform used by companies like LinkedIn, Visa, and Equinox. SmartRecruiters uses AI-powered matching and has a modern, cloud-native parsing engine. Optimization tip: Similar to Greenhouse -- focus on achievement-based content, strong keywords, and clean formatting. Both DOCX and PDF work well.

8. Universal Optimization Tips That Work for Every ATS

Regardless of which system you are applying through, these principles apply to all of them.

Always use simple, single-column formatting. No tables, no columns, no text boxes, no graphics. This is non-negotiable across every ATS.

Always use standard section headings. "Work Experience," "Education," "Skills," "Summary." Every ATS is trained to recognize these.

Always include keywords from the job description. Keyword matching is the core function of every ATS, whether it uses exact matching or semantic matching.

Always submit as DOCX unless otherwise specified. It is the universally safe format.

Always put contact information in the document body. Not in headers, footers, or text boxes.

Always include both acronyms and full terms. "Search Engine Optimization (SEO)" covers you regardless of how the ATS searches.

Always check your resume before submitting. Use ResumeFry to compare your resume against the job description and verify your keyword alignment.

The differences between ATS systems matter, but the commonalities matter more. A clean, keyword-optimized, single-column DOCX resume will perform well in any system. System-specific optimizations are the bonus that pushes you from good to great.

No matter which ATS a company uses, ResumeFry checks your resume against the job description. Try it free at resumefry.com.

---

Frequently Asked Questions

Q: How do I know which ATS a company uses?
A: Check the URL when you click "Apply" on their careers page. Taleo URLs contain "taleo.net," Workday URLs contain "myworkdayjobs.com," iCIMS URLs contain "icims.com," Greenhouse URLs contain "greenhouse.io," and Lever URLs contain "lever.co." You can also right-click on the careers page, view the source code, and search for the ATS name.

Q: Which ATS is the hardest to pass?
A: Taleo is generally considered the most challenging ATS to optimize for. It uses stricter keyword matching, has more parsing limitations (particularly with PDFs and complex formatting), and is highly configurable by employers. However, a well-formatted DOCX resume with strong keyword alignment will pass Taleo consistently.

Q: Does it matter which ATS a company uses if I have all the right keywords?
A: Yes, because different systems parse resumes differently. The same resume might be read perfectly by Greenhouse but have sections misread by Taleo due to formatting differences. Keywords are essential, but your formatting must be compatible with the specific ATS for those keywords to be properly read and counted.

Q: Are newer ATS systems easier to pass?
A: Generally yes. Newer platforms like Greenhouse, Lever, and SmartRecruiters use more advanced parsing technology including semantic matching and AI-powered scoring. They are more forgiving of formatting variations and better at understanding synonyms and related terms. Older systems like Taleo rely more heavily on exact keyword matching and strict formatting.

Q: Should I create different resume formats for different ATS systems?
A: No. A single clean, simple DOCX format works across all systems. What you should change for each application is the keyword content -- tailoring your keywords, summary, and skills to match each specific job description. The format stays the same; the content adapts.

Q: Do ATS systems read cover letters?
A: It varies. Some systems like iCIMS and Greenhouse can parse cover letters for additional keyword data. Others like Taleo store cover letters without analysis. The safest approach is to include relevant keywords in your cover letter while optimizing your resume as the primary scored document.

Q: Can ResumeFry help me optimize for specific ATS systems?
A: ResumeFry checks your keyword alignment and formatting compatibility regardless of which ATS a company uses. The keyword match score and gap analysis it provides are relevant across all platforms. By optimizing your ResumeFry match score, you are effectively optimizing for any ATS system.