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 .

GTM Engineer

Junglescout · Chicago, IL

At Jungle Scout, we are on a mission to build the best Amazon competitive intelligence tools for Amazon sellers and brands.

About the Role

We’re looking for a GTM Engineer who combines strong technical expertise with a deep understanding of go-to-market strategy and model quality control. This role sits at the intersection of Revenue Operations, Data, Marketing, and Sales — ensuring that our GTM systems, analytics models, and automated outputs are accurate, scalable, and continuously improving.

A core focus of this role will be training, evaluating, and improving analytical and AI-driven models through structured output reviews, feedback loops, and quality control processes.

You will help design the data foundation that powers revenue decisions while implementing rigorous validation frameworks to ensure confidence in our insights and automation.

Role will be based in Chicago, hybrid 3 days in the office.

 

What You’ll Do

Model Training, Review & Quality Control

  • Design and implement structured output review processes to validate model and analytics accuracy
  • Perform systematic quality audits on segmentation models, forecasting outputs, attribution models, and AI-driven insights
  • Develop feedback loops to retrain and refine models based on performance data and business outcomes
  • Establish clear quality benchmarks and monitoring dashboards for model performance
  • Partner with Data and Product teams to improve training datasets and reduce bias, drift, and inconsistencies
  • Document evaluation frameworks and ensure reproducibility of model validation processes

Data & Systems Engineering

  • Write and optimize advanced SQL queries to support modeling, reporting, and validation workflows
  • Manage and maintain relational databases and data warehouse structures
  • Design scalable data models that support GTM analytics and operational systems
  • Build and maintain data transformations and QA checks across pipelines
  • Improve system interoperability across CRM, marketing automation, billing, and product analytics tools

GTM Strategy & Revenue Operations

  • Translate business strategy into measurable models and scalable technical solutions
  • Support territory planning, lead scoring, segmentation, and pipeline forecasting
  • Identify performance gaps across the funnel and design data-backed solutions
  • Build reporting frameworks that drive strategic decision-making
  • Ensure GTM systems align with evolving business objectives



What You Bring

Technical Skills

  • Advanced SQL proficiency (complex joins, window functions, aggregations, query optimization)
  • Strong understanding of relational databases and data warehousing concepts
  • Experience with data modeling and ETL processes
  • Familiarity with CRM and marketing automation platforms (Salesforce, HubSpot, Marketo, etc.)
  • Experience working with BI tools (Looker, Tableau, Sigma, etc.)
  • Exposure to model validation, performance monitoring, or AI/ML quality frameworks

GTM & Business Acumen

  • Deep understanding of SaaS go-to-market processes across Marketing, Sales, and Customer Success
  • Experience supporting pipeline analytics, revenue forecasting, and attribution
  • Strong understanding of SaaS metrics (ARR, CAC, LTV, churn, conversion rates, pipeline coverage)
  • Ability to connect model outputs to business impact

Quality & Analytical Mindset

  • Strong attention to detail and commitment to data integrity
  • Experience designing QA processes or review frameworks
  • Ability to identify anomalies, inconsistencies, and sources of model drift
  • Systems thinker who balances automation with oversight



Nice to Have

  • Experience in B2B SaaS or ecommerce
  • Python or scripting experience for automation and data validation
  • Experience working with product usage data
  • Familiarity with experimentation frameworks (A/B testing, cohort analysis)

Note: The one constant in our evolving, dynamic environment is change. Needless to say, you’ll never get bored ;) The responsibilities listed above are our needs today but we are keeping future needs & opportunities in mind when hiring for this position. We value adaptability and a growth mindset in team members. Although it’s not promised, the successful candidate should be prepared for the possibility that their role may evolve over time as our business strategies and priorities change.

What you’ll get:

💥The BEST team. You’ll work alongside the smartest, most passionate, and kindest humans day in and day out making work fun.

💥 A growth culture! We have tons of opportunities for you to elevate your skills and take you to that next step; we are here to help you find the ones that matter most to you through exposure and training.

💥 Ability to make impact! Although it’s a highly collaborative culture, team members are empowered to work autonomously and take extreme ownership of their work. You'll have the opportunity to truly make a difference and impact our customers.

💥 Competitive compensation packages! We structure our compensation packages to reward our team members' contributions to our company's success - you’ll have a bonus tied to performance and will be invested into our long-term success with Equity. 

💥 Flexible Time Off. With our generous PTO and recognition of local holidays, escape to the beach, recharge mentally, or use your Volunteer Time Off (VTO) to give back through volunteering.

💥 Comprehensive Health Benefits & Retirement Program. We offer comprehensive healthcare and retirement matching plans for eligible employees.

💥 Paid Parental Leave Policy. Jungle Scout values the importance of family and offers a paid parental leave that provides the support and flexibility you need to embrace this special time in your life. We also offer a ramp-back period for a seamless transition for you and your family.

About Jungle Scout

Jungle Scout is the leading all-in-one platform for selling on Amazon, supporting more than $50 billion in annual Amazon revenue and 10 global Amazon marketplaces. Founded in 2015 as the first Amazon product research tool, Jungle Scout today features a full suite of best-in-class business management solutions and powerful market intelligence resources to help entrepreneurs and brands manage their ecommerce businesses. 

The Jungle Scout team is a group of smart, motivated, and fun-loving professionals working hard to help our customers achieve success. 

We prioritize Diversity, Equity, and Inclusion 

At Jungle Scout, we recognize the value of different experiences, backgrounds and cultures. We hire intentionally, with this in mind.

Jungle Scout is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

All offers of employment at Jungle Scout are contingent upon clear results of a comprehensive background check. Background checks will be conducted on all final candidates prior to start date.

 

View full listing