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 .

Full-Stack Engineer

Sisense · Ramat Gan

About Sisense

Sisense is a leading AI-powered Analytics Platform as a Service (AnPaaS) that empowers product teams and developers to embed conversational, predictive, and agentic intelligence directly into applications and workflows. Our API-first, developer-first platform turns complex data into faster, smarter, actionable decisions for thousands of global customers.

With the recent launch of Sisense Intelligence (Intelligence Assistant, MCP server, Managed LLM), we are pushing the boundaries of embedded analytics and making AI-driven insights accessible at scale.

The Role

As a Full-Stack Engineer, you will play a key role in building and enhancing the core platform that powers embedded AI analytics. You will work across the stack — from backend services and APIs to frontend interfaces — helping to deliver delightful, high-performance experiences for both developers and end users.

This is a hands-on role where you’ll contribute to features that directly impact how customers embed intelligence into their products, with a strong focus on scalability, developer experience, and innovation.

Key Responsibilities

  • Develop and maintain full-stack features using Node.js (backend) and React (frontend).
  • Build and optimize APIs and services that power our embedded analytics capabilities.
  • Collaborate closely with Product, Design, and other Engineering teams to deliver high-quality, user-centric solutions.
  • Participate in code reviews, architectural discussions, and technical decision-making.
  • Contribute to improving platform performance, reliability, and developer experience.
  • Help shape and implement features related to Sisense Intelligence (agentic AI, conversational interfaces, predictive analytics).
  • Write clean, maintainable, and well-tested code while following best practices.

About You

  • 2-3 years of full-stack development experience with a strong focus on Node.js and React.
  • Understanding of modern web technologies, REST/GraphQL APIs, and frontend architecture.
  • Strong problem-solving skills and ability to break down complex requirements into actionable tasks.
  • Comfortable working in a fast-paced, collaborative environment with high ownership.
  • Fluent English (Hebrew is a plus).
  • Passion for best coding practices, user experience, and using AI tools to enhance development responsibly.

Nice to Have

  • Experience building scalable backend services and responsive, performant user interfaces.
  • Experience with TypeScript, Next.js, or modern frontend frameworks.
  • Exposure to cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Background in data-intensive applications, BI/analytics tools, or developer platforms.
  • Familiarity with AI/ML concepts or building AI-powered user experiences.

Why Join Sisense

This is a high-impact role where you’ll work on cutting-edge embedded AI analytics technology and directly influence how developers and enterprises build intelligent applications. You’ll join a talented engineering team in Israel, enjoy competitive compensation, meaningful equity, and the opportunity to grow with one of the most innovative players in the analytics space.

If you’re a motivated full-stack engineer who loves building great products and wants to work on AI-powered data solutions, we’d love to hear from you.