Staffing Agency Guide

Format Resumes for Teamtailor ATS Clients

Submit candidates to clients using Teamtailor with confidence. Bulk format resumes for perfect parsing and faster placements.

Client-Required Format

Check current documentation

Max File Size

Verify with client requirements

Typical Clients

Startups, SMBs, and enterprises

Quick Summary

TL;DR

When your clients use Teamtailor's AI-powered resume parsing, proper formatting is crucial. iReformat ensures your candidate submissions pass through their advanced parsing system without rejection, helping you win more placements with startup and enterprise clients.

3-5 minutes saved
per candidate submission

Key Facts

Client-Required Format

Check current documentation

Teamtailor Documentation

Max File Size

Verify with client requirements

Teamtailor Help Center

Typical Clients

Startups, SMBs, and enterprises

Industry analysis

Why Clients Use It

All-in-one recruitment with strong employer branding and AI features

G2 Reviews

The Challenge: Submitting Candidates to Teamtailor Clients

Your clients chose Teamtailor for its AI-powered resume parsing and streamlined hiring process. However, when candidate resumes aren't properly formatted, their advanced parsing system struggles to extract key information accurately. This leads to incomplete candidate profiles, poor search results within their ATS, and ultimately rejected submissions. For staffing agencies, this means lost placements and damaged client relationships. The challenge intensifies when processing high volumes of candidates, as manually reformatting each resume for different client requirements becomes time-prohibitive.

Common Pain Points

  • 1AI parsing fails on poorly formatted resumes, creating incomplete candidate profiles
  • 2Bulk processing becomes overwhelming when each client has different format requirements
  • 3Client relationships suffer when submissions consistently fail their ATS standards
  • 4Time wasted reformatting the same candidate for multiple Teamtailor clients

How iReformat Prepares Candidate Resumes for Teamtailor

iReformat streamlines your candidate submission process by automatically formatting resumes to work seamlessly with your clients' Teamtailor systems, ensuring their AI parsing captures all relevant candidate information.

  1. 1

    Bulk Upload Candidate Resumes

    Upload resumes in any format - messy PDFs, inconsistent Word docs, or outdated templates from candidates.

  2. 2

    AI Reformats for Teamtailor

    Our system restructures layouts to optimize for Teamtailor's AI-powered parsing, ensuring clean data extraction.

  3. 3

    Apply Agency Branding

    Add your agency logo and maintain consistent professional styling across all client submissions.

  4. 4

    Export Client-Ready Files

    Download properly formatted resumes ready for immediate submission to your Teamtailor clients.

Result

Save hours per week on formatting while improving placement success rates and strengthening client relationships through consistently professional submissions.

What Staffing Agencies Need to Know About Teamtailor

How Teamtailor Processes Your Candidate Submissions

When you submit a candidate resume to your Teamtailor clients, their system uses AI-powered resume parsing technology that scans the document and automatically summarizes information into candidate cards. This advanced parsing system looks for specific data points like work experience, skills, education, and contact information. However, the quality of extraction depends heavily on resume formatting. Clean, well-structured resumes allow Teamtailor's AI to accurately populate candidate profiles, making them easily searchable and comparable within your client's hiring workflow. Poor formatting can result in missing information, incorrect categorization, or incomplete candidate profiles that hurt your submission's chances.

Sources: Teamtailor Features Documentation

File Formats Your Teamtailor Clients Accept

While specific file format requirements aren't publicly documented by Teamtailor, most ATS systems including Teamtailor typically accept PDF and Word document formats. As a staffing agency, it's crucial to verify format preferences with each client, as some may have specific requirements based on their internal processes. PDF formats generally provide more consistent formatting across different devices and systems, while Word documents may offer better text extraction for parsing. The key is ensuring your chosen format maintains clean structure and readable text that Teamtailor's AI can process effectively.

PDF (single-column)
BestMaintains formatting consistency for client review
DOCX (simple layout)
GoodAllows easy text extraction for AI parsing

Why Candidate Submissions Get Rejected in Teamtailor

Candidate rejections in Teamtailor often stem from parsing issues rather than candidate quality. When resumes have complex layouts, multiple columns, or embedded graphics, the AI parsing system may struggle to extract information correctly. This results in incomplete candidate profiles that don't showcase your candidate's full qualifications. Additionally, inconsistent formatting across your submissions can make your agency appear unprofessional to clients. Since Teamtailor emphasizes employer branding and candidate experience, clients expect submissions that align with their professional standards and integrate smoothly into their hiring workflow.

Sources: ATS Best Practices Guide

Resume Format Performance When Submitting to Teamtailor

Recommendations for staffing agency submissions
Format TypeParsing SuccessCommon Rejection ReasonsUse This?
PDF (single-column)BestMinimal parsing issuesRecommended
DOCX (simple layout)GoodOccasional formatting inconsistenciesAcceptable
PDF (two-column)PoorAI parsing struggles with complex layoutsAvoid
PDF with graphics/tablesPoorInformation gets lost in parsing processAvoid

Recommendations for staffing agency submissions

Frequently Asked Questions About Teamtailor ATS

Stop Losing Placements to Formatting Issues

Format candidate resumes for any client ATS in seconds

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