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 Product Manager

Unlikelyai · London

At UnlikelyAI, we are building the future of AI: one that is reliable, accurate and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with classical symbolic technology to produce hallucination-resistant artificial intelligence for high-trust applications.

The Role

We're hiring a Technical Product Manager to lead our platform strategy and execution. This is a hands-on role that requires deep technical expertise, systematic thinking, and proven experience working with complex enterprise customers.

You'll work at the intersection of cutting-edge AI technology and real-world enterprise needs, translating ambiguous customer requirements into clear product direction while maintaining a strategic view across multiple customer segments.

This isn't about writing engineering specs – it's about leveraging technical depth to set realistic requirements, inform roadmaps, and create clarity from complexity.

What You'll Do

You'll own the developer platform product from strategy through execution:

  • Lead customer discovery with enterprise clients, extracting accurate functional requirements from ambiguous needs and translating them into actionable product direction.

  • Define product vision and roadmap that balances individual customer requests with broader platform scalability and long-term strategic goals.

  • Apply deep technical understanding of AI and platform development to set realistic requirements (e.g., understanding ML accuracy limitations to avoid specifying unachievable targets).

  • Manage complex stakeholder dynamics across engineering, sales, research, and leadership – including constructively challenging decisions when warranted.

  • Create rigorous product documentation (PRDs, specs, strategy documents) that synthesises research and stakeholder input with analytical clarity.

  • Partner closely with engineering teams, understanding the boundary between requirements and implementation without over-specifying solutions.

  • Navigate enterprise sales cycles and multi-stakeholder complexity while maintaining product vision against competing pressures.

What We're Looking For

Essential:

  • Technical degree (computer science, engineering, or related) with prior experience in a technical role.

  • 4+ years in technical product management roles in enterprise software/SaaS

  • Proven track record working with large, complex enterprise customers at scale

  • Deep understanding of AI and platform development with genuine passion for the space

  • Exceptional analytical and systematic thinking – ability to synthesise massive volumes of complex information

  • Strong communication skills and confidence to challenge senior leadership constructively

  • Evidence of rigorous analytical work through high-quality documentation (we'll ask for samples)

You'll thrive in this role if you:

  • Use technical knowledge to inform requirements, not dictate engineering solutions

  • Can lead complex customer conversations and extract signal from noise

  • Produce clear, well-researched specs that demonstrate thorough stakeholder synthesis

  • Balance accommodating customer needs with maintaining broader product vision

  • Are comfortable with ambiguity and turn it into actionable clarity

  • Navigate between tactical delivery and strategic "true north" – you know where we're ultimately headed while executing what's needed now

  • Have a strong personality without being defensive – independent thinking is essential

What's in it for You

  • Shape a novel neurosymbolic AI platform working with world-class enterprise customers

  • Work in a fast-moving, technically sophisticated environment where clarity of thought is valued

  • Influence both product direction and the evolution of our product function

Join a collaborative team tackling genuinely hard problems in AI.

Working at UnlikelyAI

We offer a range of benefits designed to support our team's wellbeing and work-life balance:

  • We have a hybrid working arrangement, flexibly balancing working from home and office-based working. 3 days in the office is encouraged.

  • Our office is located in Bloomsbury, approximately a five minute walk to both Tottenham Court Road and Holborn stations

  • We provide free team lunches every Tuesday, Wednesday and Thursday

  • We schedule a variety of optional social and extra-curricular activities

  • We have an annual offsite, usually to an international location, where we can work and socialise in the sun

Equal Opportunities

We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We do not discriminate based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information.