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 .

Business Development Rep (AI Cloud)

Featherlessai · Toronto

About Featherless

Featherless.ai is building the world’s most reliable open-model inference platform — a serverless foundation for deploying and scaling AI without infrastructure overhead.

Backed by Airbus Ventures, 500 Global, Kickstart Ventures, HF0 Residency, Panache Ventures, and Oakseed Ventures, we’re a well-funded team of researchers and engineers on a mission to democratize AI through performance and accessibility.

Our cloud provides instant access to 30,000+ open-source AI models and the research innovations powering next-generation efficiency, reliability, and model optimization.

About the Role

We’re looking for an experienced Business Development Representative (AI Cloud) — someone who thrives at the intersection of relationships, communication, and execution.

This is not a traditional sales role. You’ll own programs, test ideas, and help shape our GTM motion from day one. You’ll blend classic BDR pipeline work with ecosystem-building: connecting with model creators, AI startups, enterprises, and developers exploring open-model deployment.

If you're an entrepreneur that loves early-stage GTM, enjoys experimenting with new outreach strategies, and want to work directly with exec-team in a fast-moving AI environment, you’ll feel at home here.

What You’ll Own Immediately

  • Build & qualify pipeline across enterprises, research labs, and AI startups

  • Manage outreach sequences and automations (HubSpot, Clay, Reply.io, n8n)

  • Re-engage existing sign-ups and subscribers; identify high-value users

  • Coordinate partner calls & discovery meetings with the CRO and founders

  • Track CRM, pipeline metrics, and weekly reporting

  • Attend events to generate pipeline and establish key relationships

  • Propose creative GTM experiments and new partnership opportunities

Core Responsibilities

  • Prospect and qualify outbound opportunities

  • Handle inbound interest and schedule discovery calls

  • Own customer relationships and drive deals forward

  • Close startup deals

  • Use AI extensively to automate and enhance daily activities

  • Maintain CRM hygiene

  • Manage partner relationships with creators, labs, and dev communities

  • Collaborate with DevRel on co-marketing and ecosystem initiatives

What You Bring

  • 1–3 years in Cloud Infrastructure Sales

  • Comfortable engaging technical audiences (developers, founders, researchers)

  • Excellent written and verbal communication in english — concise, credible, human

  • Entrepreneurial and self-driven — you operate independently and get things done

  • Highly organized with clean CRM habits

  • Familiar with HubSpot, Clay, n8n, or similar tools

  • Bonus: Fluent in French or German

Why Featherless

  • Work directly with founders on high-impact partnerships and GTM strategy

  • Build your network across one of the fastest-growing open AI ecosystems

  • Be part of a small, high-performing team making open weight AI accessible to everyone