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 .

Senior Fullstack Engineer

Siena · Bucharest

Meet Siena

Siena is the first intelligence layer for customer experience. We're creating an operating system of AI agents that learn, remember, and act across every customer touchpoint—from support conversations to shopping experiences to voice and social media interactions.

Siena doesn't just automate support; it powers shopping agents, builds persistent customer memory, generates actionable business insights, and creates empathetic interactions that feel human.

We're transforming how businesses understand and connect with their customers, turning every interaction into intelligence that makes the next one better.

The team

We're a small, distributed team that punches way above our weight. Every person here has outsized impact because we've built leverage into everything we do. This philosophy makes us faster and, frankly, more fun to work with.

If you're excited about building something that doesn't exist yet, keep reading. We're building agents that don't just respond to customers—they remember them, learn from every interaction, and connect experiences across channels.

About the Role

As a Full Stack Engineer at Siena, you’ll own projects end-to-end, developing and optimizing features within our AI-powered customer support automation platform. You’ll work closely with product and engineering teams, shaping our roadmap while building reliable, high-performance systems. This role is for engineers who love solving real-world problems, thrive in fast-moving environments, and take pride in shipping great products.

What You’ll Do

  • Design, build, and maintain scalable features across the full stack (frontend, backend, and infrastructure).

  • Collaborate closely with Product to break down scope and deliver in iterative, high-impact releases.

  • Work on an AI-first product, integrating cutting-edge LLM capabilities into enterprise customer support workflows.

  • Solve complex engineering challenges, from optimizing API performance to refining microservices architecture.

  • Maintain and improve our cloud infrastructure (AWS) with a DevOps mindset.

  • Share knowledge and mentor teammates, fostering a strong engineering culture.

Who You Are

  • 5+ years of software engineering experience in Node.js, React, TypeScript, and Express.

  • Solid experience with cloud environments (AWS – Fargate, Lambda, EC2, SQS).

  • Strong database skills with PostgreSQL and Redis.

  • Familiarity with CI/CD pipelines (CodePipeline, GitHub Actions, or similar).

  • Product-focused mindset—you think beyond just code and care about business impact.

  • Deep experience in microservices architectures and scalable systems.

Bonus Points

  • Experience with Next.js and LLM integrations.

  • Infrastructure as Code (CDK, Terraform).

  • Python programming skills.

  • Event-driven architecture experience.

  • Background in customer support software.

Why Siena?

  • Meaningful impact. Your work directly shapes our product and company.

  • Globally distributed team working at the bleeding edge of CX and AI.

  • Great salary plus the opportunity for equity or stock grants.

  • Learning budget. If you're growing, so are we.

  • The thrill of building something new. Join us at a stage where your contributions matter most.

  • AI-fluency. Make AI your second nature.

  • Tackle unsolved problems. We’re redefining how customer experience will look like in the next decades.

Our values

The people who thrive here are curious, customer-obsessed, and take ownership without being asked. They fix problems first and explain later. They're direct about feedback—both giving and receiving it—because they care more about getting things right than being polite.

They maintain high standards while moving at startup speed, and they build real relationships with teammates because they know that's how great work gets done. When things get tough, they adapt and keep pushing forward.

Our approach to AI

The people who thrive here treat AI like a natural extension of themselves. They've built their own ecosystem of agents - some for research, others for debugging, writing, analysis, or writing code. They know which AI works best for what problem.

Everyone gets premium accounts (ChatGPT, Claude, Perplexity Pro, Cursor, Lovable) plus a quarterly budget for new tools. But the magic happens in how we share knowledge. Demo days where someone shows off a clever workflows. Slack threads about which model handles a specific use case better. Learning from each other's AI workflows.

At Siena, we’re not just looking for people who can do a job. We’re looking for people who want to break boundaries, create the future, and reshape industries. If that’s you, we look forward to your application.

Siena provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.