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 .

Solutions Engineer

Placerlabs · United States, Remote

ABOUT PLACER.AI: 

Placer.ai is transforming how organizations understand the physical world. Our location analytics platform provides unprecedented visibility into locations, markets, and consumer behavior. Placer empowers thousands of customers—from Fortune 500 companies, to local governments and nonprofits— to make smarter, data-driven decisions.

What sets us apart? We've built the most advanced location intelligence platform in the market while maintaining an uncompromising commitment to privacy, proving that powerful analytics and responsible data practices can coexist.

Our growth reflects the market's demand: we reached $100M in annual recurring revenue within just 6 years of launching, achieved unicorn status with a $1B+ valuation in 2022, and continue to expand rapidly as one of North America's fastest-growing tech companies. We're creating a $100B+ market opportunity, and we're just getting started.

Named one of Forbes America's Best Startup Employers and a Deloitte Technology Fast 500 company, we're building a culture where innovation thrives, collaboration is the norm, and every team member contributes to reshaping how the world understands location.

SUMMARY:

The Solutions Engineer is a master storyteller, utilizing their extensive analytics experience to demonstrate the value of Placer. Their key responsibility is two-fold: not only bridging Placer’s power to answer complex business questions for customers but also deeply understanding the complex data ecosystems of strategic accounts to articulate precisely how Placer fits in. The Solutions Engineer role is essential to the sales process, focusing on understanding customer needs, developing sales strategies, delivering compelling product demonstrations, supporting enterprise-level Proof of Concepts, and ultimately driving successful business closures. We are looking for highly motivated, curious and creative individuals experienced in client facing communication delivery and hands on data analysis, who enjoy solving real world problems and have a passion for correlating product innovations to client requirements and market trends.  

RESPONSIBILITIES:

  • Lead Technical Validation: Execute bespoke demos, POCs, and data trials to secure the technical win for strategic accounts.
  • Translate Value: Convert complex discovery insights into ROI-focused narratives for executive and technical stakeholders.
  • Partner on Strategy: Collaborate with Sales on account planning and technical strategy for high-contract-value opportunities, net business and expansion. 
  • Prove Utility: Validate Placer’s data accuracy and methodology against the customer's specific business environment.
  • Drive Enablement: Transition post-sale to empowering customers to independently achieve and showcase their own wins.
  • Drive growth and innovation in Placer- Initiate internal discussion around key features that can be added to the Placer product roadmap.

REQUIREMENTS:

  • BA/BS degree
  • 3+ years of experience working in a sales support role, such as Solution Engineer
  • 3+ years experience working in a SaaS company
  • 2+ years of data analytics experience -- proficient in at least one of: Esri, GIS tools, Python, R, Tableau Power BI, google data studio and similar BI tools. Proficiency in multiple is a bonus.
  • High level of knowledge in Statistics (familiarity with data science language and concepts is a bonus)
  • 2+ years of experience in client facing roles
  • Data analytics Skills, including proficiency in data analysis tools (at least one of the following: R, Python, SQL, Tableau, Data Studio or similar BI tools)
  • Team player with strong interpersonal skills
  • Experience working with cross-functional teams and projects
  • Travel is required 35% of the time for customer meetings

WHY JOIN PLACER.AI? 

  • Join a rocketship! We are pioneers of a new market that we are creating
  • Take a central and critical role at Placer.ai
  • Work with, and learn from, top-notch talent
  • Competitive salary
  • Excellent benefits
  • Fully remote

The U.S. annualized pay range for this position is $110,000 - $160,000 USD total On Target Earnings (OTE = base salary + bonus target). Compensation offered within the stated range may vary depending on multiple individualized factors, including job-related skills, professional experience, education and licenses (if applicable), work location and compensation market data.

Base pay is just a part of our total rewards program. Placer provides medical, dental and vision coverage as well as flexible time off, 401K and equity awards for certain roles.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER 

Placer.ai is committed to maintaining a drug-free workplace and promoting a safe, healthy working environment for all employees.

Placer.ai is an equal opportunity employer and has a global remote workforce. Placer.ai’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Placer.ai applicant who requires reasonable accommodations during the application process should contact Placer.ai’s Human Resources Department to make the need for an accommodation known.