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 .

Technical Talent Partner – Insurtech & AI (Remote)

Zestyai · San Francisco, CA

Technical Talent Partner – Insurtech & AI
Location: Remote (US or Canada)
Reports to: Head of People & Culture

About ZestyAI
ZestyAI is the leading property and climate risk analytics platform for the P&C insurance industry. Our AI-powered models provide property-level insights into the risks that drive the majority of losses, including wildfire, hail, and water damage. Using proprietary data from aerial imagery, property characteristics, permits, and environmental signals, we help insurers price accurately, underwrite smarter, and reduce losses — creating a stronger and more resilient insurance market. As climate events grow more frequent and complex, legacy models can no longer keep pace. ZestyAI replaces outdated assumptions with dynamic, property-specific intelligence that expands access to coverage and supports smarter risk decisions. Our next wave of innovation leverages agentic and generative AI to accelerate decision-making and deliver speed, scale, and precision across the insurance value chain.

The Opportunity
We are seeking a Technical Talent Partner to help scale our teams across Insurtech, AI, Go-To-Market, Engineering, Data Science & Machine Learning (DSML), and Product. This is a high-impact, embedded role for a talent professional with proven Insurtech recruiting experience and strong exposure to technical and AI hiring. You will partner closely with hiring managers across both Commercial and R&D functions to build the teams that power our next phase of growth. This is not a generalist recruiting role. We are looking for someone who has successfully recruited within insurance technology environments and thrives in a fast-moving, performance-driven scale-up. You must be willing to roll up your sleeves and contribute across all aspects of Talent Acquisition.

What You’ll Do

  • Own full-cycle outbound recruiting across Go-to-Market roles (Sales, Customer Success, Risk Analytics, Marketing)

  • Recruit for Engineering, Data Science, Machine Learning, Technical Product Management, and AI and emerging agentic AI roles

  • Serve as a domain expert in Insurtech talent and build strong, proactive pipelines

  • Partner with hiring leaders to translate complex technical and business requirements into high-quality candidate slates

  • Support and enhance inbound screening processes across functions

  • Leverage AI tools and automation to improve recruiting efficiency and effectiveness

  • Build talent maps across the Insurtech ecosystem, including carriers, MGAs, startups, and adjacent AI and SaaS companies

  • Provide market intelligence on compensation trends and competitive talent landscapes

  • Represent ZestyAI professionally and credibly to senior technical, product, and commercial candidates

What We’re Looking For

  • 5+ years of recruiting experience, with at least 3 years in Insurtech or insurance technology

  • Proven experience hiring within insurance, reinsurance, or Insurtech environments (required)

  • Demonstrated success recruiting Go-To-Market roles, with established industry contacts

  • Experience hiring — or strong ability to ramp quickly on — technical and AI-driven roles including engineering, data science, machine learning, and technical product management

  • Strong understanding of insurance industry workflows and terminology

  • Stellar written and verbal communication skills, with the ability to engage highly technical candidates

  • Ability to operate as a trusted, consultative partner to hiring managers

  • Proven track record of delivering results in fast-paced, performance-oriented environments

 

Why Join ZestyAI
ZestyAI has been recognized by CB Insights (Insurtech 50), Deloitte Technology Fast 500, and Inc. 5000, and named by Forbes as one of America’s Best Startup Employers. We have also received industry recognition for innovation in AI, machine learning, and risk analytics.

If you’re excited by building in the AI era and want a front-row seat to scaling teams that matter, ZestyAI offers the opportunity to grow alongside a platform reshaping an industry in real time.

Prior Insurtech recruiting experience is required. Insurance domain fluency is not optional.