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 .

AI Consultant - Implementations

Pallet · San Francisco or New York City

About Pallet

Pallet is building AI Agents to transform logistics — a $12T global industry. We’ve raised $50M from top investors including General Catalyst, Bessemer Venture Partners, and Bain Capital Ventures, and in under two years have achieved 700% revenue growth.

Our mission is to increase the efficiency of the global supply chain by automating the manual workflows that slow logistics teams down — from scheduling and appointment setting to data entry and load management. Our flagship platform delivers end-to-end visibility and control, while our newest product, CoPallet, introduces AI Agents that can understand requests in real time and execute directly within customer systems.

As enterprise logistics teams increasingly turn to generative AI, Pallet is uniquely positioned to lead the category — combining deep industry expertise with cutting-edge AI capabilities. We’re building toward the next $10B logistics company, and we’re just getting started.

About the Role

As Pallet scales into larger, more complex enterprise and mid-market customers, deployments become higher-stakes: more stakeholders, evolving requirements, real change management, and real consequences if things break.

The AI Consultant owns customer deployments end-to-end, from discovery and workflow design through execution, go-live, and long-term success. You are the connective tissue between customers, Agent Delivery Engineers, Product, Sales, and Success. You ensure customers feel confident, informed, and supported, even as workflows, product capabilities, and internal processes continue to evolve.

This is a highly client-facing, high-ownership role for senior operators who thrive under pressure and ambiguity.

Why This Role Is Different

You won’t inherit a playbook, you’ll help build it. This role owns enterprise deployments end-to-end, translating messy real-world operations into live AI agent workflows. You’ll work directly with executives, shape how CoPallet scales, and play a defining role in how customers come to trust AI in mission-critical systems.

How You’ll Make an Impact

  • Serve as the executive point of contact for customer deployments and long-term success
  • Lead customer discovery to understand workflows, constraints, and success criteria
  • Translate complex business processes into executable AI agent workflows
  • Partner with Agent Delivery Engineers to validate assumptions and execute technically
  • Configure, test, and release agent configurations for customer use cases
  • Own deployment plans, timelines, risks, and stakeholder communication
  • Lead customer kickoffs, milestone reviews, QBRs, and executive updates
  • Proactively manage scope changes, escalations, and expectation-setting
  • Improve and scale onboarding and deployment processes over time
  • Travel for key customer milestones and kickoffs as needed (~25%)

What Success Looks Like

  • Customers have clearly defined, executable workflows aligned to their business reality
  • Deployments stay on track despite ambiguity, changing requirements, or complexity
  • Executives feel informed, confident, and trust Pallet as a long-term partner
  • Internal teams are aligned, accountable, and coordinated around customer outcomes
  • Deployment processes become more repeatable and scalable without sacrificing quality

What You’ll Bring

  • 4+ years in customer-facing roles (Product, Engagement, Consulting, Founder, etc.)
  • Strong technical acumen: able to reason about workflows, APIs, and system behavior
  • Comfort operating in fast-moving, ambiguous environments
  • Excellent written and verbal communication skills
  • Experience managing multiple concurrent, high-stakes projects
  • Familiarity with LLMs, APIs, JSON
  • Strong Excel / PPT skills
  • SaaS experience
  • Basic SQL literacy

Nice to Have

  • Technical degree (CS, Engineering, Math) or equivalent experience
  • Experience with AI-driven or workflow automation products

Location & Logistics

  • In Person based in our San Francisco office or NYC office
  • Travel required for major customer milestones
  • Interviewing: Remote with final in-person round

Compensation

  • $120k–$240k base salary, depending on level and experience
  • Competitive equity and full benefits package

Benefits

🩺 Health, vision, and dental
🏝️ Flexible PTO
💸 Competitive salary + equity
🪜 401(k)
📚 Annual learning & development stipend
🚌 Commuter benefits (Bay Area)
🚘 Uber ride stipend for late office nights
🏡 Remote office stipend
🍔 Daily catered lunches via Sharebite
✈️ Onboarding trip to SF HQ for remote employees
🥤 Monthly happy hours
🎉 Annual company offsites (last one: Palm Springs 🌴)

Interview Process

  • Chat with Head of Talent - 30 mins
  • Deep dive with Member of the Team - 45 mins
  • Chat with Hiring Manager - 30–45 min
  • Final Interview Loop - 3–4 hours
  • Background & reference checks

We move fast and keep candidates informed at every stage.

Pallet is proud to be an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.