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 .

Director, AI Enablement

Healthequity

Director, AI Enablement

Job Locations
US-Remote

Our Mission

Our mission is to SAVE AND IMPROVE LIVES BY EMPOWERING HEALTHCARE CONSUMERS. Come be part of remarkable.

Overview

How you can make a difference

The Director, AI Enablement, is accountable for how AI is strategically applied across the customer experience to deliver measurable business and customer outcomes. This role ensures AI investments are grounded in real customer pain points, embedded into priority journeys, and scaled responsibly to improve experience, resolution, and operational efficiency. Success is defined by what changes for customers and the business, not by pilots, tools, or experimentation.

 

What you'll be doing

  • Own the enterprise strategy for applying AI through the customer experience, aligned to priority journeys and business outcomes
  • Identify and prioritize AI use cases based on Voice of Customer insights, journey analytics, contact drivers, and business impact
  • Ensure AI is used to reduce friction, increase clarity, and improve customer confidence, not simply to automate tasks
  • Partner hands‑on with data science, engineering, product, and operations teams to shape AI use cases from concept through scaled deployment
  • Guide solution design to ensure models are operationally viable in live CX environments
  • Ensure AI capabilities are embedded into the CX operating model and AI solutions are explainable, trustworthy, and responsibly deployed
  • Manages and carries out the personnel actions for direct reports, including but not limited to hiring and scheduling; training and evaluating; coaching and managing performance; making salary, merit, or other compensation recommendations for team of direct reports; and making recommendations and/or taking corrective or disciplinary action as appropriate.
  • Accountable for measurable CX and operational results and continuously validate impact
  • Influence senior stakeholders across CX, Product, Technology, and Operations without direct ownership

What you will need to be successful

  • Bachelor’s degree required; technical, analytics, or data‑driven background preferred
  • 12+ years of related experience in AI, advanced analytics, CX technology, or digital enablement
  • Direct ownership of AI‑driven CX decisioning systems, including model orchestration, guardrails, escalation logic, and performance monitoring.
  • Hands‑on experience applying AI/ML in CX contexts (e.g., NLP, automation, predictive analytics including autonomous or semi‑autonomous (agentic) customer actions with defined human‑in‑the‑loop controls.)
  • Experience establishing AI governance for CX use cases, including explainability, risk management, compliance, and lifecycle ownership.
  • Close partnership with Contact Center Capabilities, Product, CX platform and data strategy teams to embed AI capabilities directly into CX systems of insight and action.
  • Proven ability to translate technical outputs into customer experience and business results
  • Strong cross‑functional leadership, influence, and delivery skills in complex environments

#LI-Remote

This is a remote position.

 

Salary Range

$144000.00 To $191000 / year

Benefits & Perks

The actual compensation offer is determined based on job-related knowledge, education, skills, experience, and work location. This position will be eligible for performance-based incentives and restricted stock units as part of the total compensation package, in addition to a full range of benefits including: 

  • Medical, dental, and vision 
  • HSA contribution and match 
  • Dependent care FSA match 
  • Uncapped paid time off 
  • Paid parental leave 
  • 401(k) match 
  • Personal and healthcare financial literacy programs