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 .

Field CTO - Physical AI & Robotics

Lavendo · San Francisco

About the Company

Our client is a fast-growing, publicly traded AI cloud infrastructure company with a global footprint spanning R&D hubs across North America, Europe, and Israel. Built by a world-class team of engineers and AI researchers with deep expertise in hardware, software, and ML systems, they are building the foundational infrastructure that powers the next generation of AI-driven businesses worldwide.

Their platform enables companies of all sizes to tackle real-world AI challenges and transform their industries without the burden of massive infrastructure investments or the need to build large in-house AI/ML teams.

The Mission

To lead a new era in cloud computing by giving companies the tools and resources they need to solve real-world challenges and transform industries - without massive infrastructure costs or the need to build large in-house AI/ML teams.

The Opportunity

This is a rare, "Zero to One" opportunity to define an entirely new category of cloud infrastructure from the ground up. As Field CTO for Physical AI & Robotics, you will own the technical product strategy for one of the most consequential emerging domains in technology — robotics, autonomous systems, simulation/world models, and embodied intelligence.

Operating at the intersection of deep customer engagement and platform engineering, you will serve as the senior technical face of the company to Physical AI customers and partners, while simultaneously shaping internal roadmap decisions. You will work directly with customer CTOs to close complex, high-impact deals and architect scalable solutions that solve problems not just for one customer — but for an entire market.

What You'll Do

  • Executive Technical Leadership: Serve as the external "CTO" face to Physical AI customers, partners, and ecosystem stakeholders, building trust with executive peers

  • Lighthouse Deal Support: Partner with Sales leadership to close strategic deals by leading architectural workshops and aligning technical roadmaps with customer goals

  • Technical Product Strategy: Translate bespoke customer needs into clear, scalable requirements for product, engineering, and infrastructure teams

  • Field Enablement: Act as a force multiplier for the sales organization by developing technical narratives, reference architectures, and training materials to upskill Field SAs and Sellers

  • Cross-Functional Alignment: Drive alignment across Product, Engineering, Infrastructure, and GTM teams so the internal roadmap reflects real market needs

  • Architectural Guidance: Help customers maximize value from platform services while identifying the core "primitives" needed to support end-to-end robotics workflows

  • Pattern Recognition: Identify recurring customer pain points across robotics, simulation, and data pipelines to surface product gaps and influence roadmap direction

  • Ecosystem & M&A: Partner with simulation platforms and robotics framework vendors to identify integration opportunities and evaluate potential M&A targets

  • Feedback Loops: Maintain structured internal feedback mechanisms to ensure customer learnings are tracked and acted upon by R&D

What You Bring

  • 10+ years of experience in cloud infrastructure, platform engineering, or distributed systems

  • 5+ years of experience in AI, HPC, and/or robotics with exposure to production or large-scale systems

  • Prior experience in a senior technical leadership role (Field CTO, Head of Engineering, Principal Architect, or Distinguished Engineer)

  • Dual-competency: equally comfortable drawing distributed system architecture for engineers and communicating business value to a CEO

  • GTM fluency — proven experience partnering with Sales to close large enterprise deals and enabling field teams with technical assets

  • Product-minded leadership: experience defining platform or product strategy from market feedback, not just executing technical tickets

  • Strong hands-on understanding of GPU-centric infrastructure, high-performance compute, storage, and networking

  • Robotics fluency: familiarity with Physical AI workflows including simulation, synthetic data generation, training pipelines, and real-world deployment

  • Executive presence and strong communication skills — able to influence product teams and leadership through clarity and credibility

  • Comfort operating in fast-moving, ambiguous environments at hyperscalers, cloud platforms, or advanced AI startups

Key Success Drivers

  • You think in systems — able to see both the architectural details and the strategic picture simultaneously

  • You are energized by ambiguity and thrive in early-stage, category-defining environments

  • You are a natural relationship builder who earns trust with technical and executive stakeholders alike

  • You have a bias toward ownership — you don't wait for a playbook, you write it

  • You are deeply curious about the frontier of Physical AI and motivated by the idea of helping intelligence move from the data center into the real world

Why Join?

Compensation & Benefits:

  • Competitive salary: $295,000 – $365,000 OTE + Equity

  • 100% company-paid medical, dental, and vision insurance for employees and families

  • 401(k) with up to 4% company match and immediate vesting

  • 20 weeks paid parental leave for primary caregivers; 12 weeks for secondary caregivers

  • Remote work reimbursement up to $85/month for mobile and internet

  • Company-paid short-term, long-term disability, and life insurance

Why This Role:

  • Build the cloud architecture powering the next generation of Physical AI — you aren't just selling infrastructure, you are defining a category

  • Work at the frontier of AI, simulation, and real-world intelligence alongside leading customers and partners globally

  • Operate with genuine influence over product direction, platform strategy, and ecosystem development

  • Join a team that values technical depth, speed of execution, and real ownership

We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.