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 .

Staff Pricing Analyst

Lambda · Bellevue, WA

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our Bellevue or San Jose office locations 4 days per week; Lambda’s designated work from home day is currently Tuesday.

What You’ll Do

  • Define and evolve Lambda’s end-to-end pricing strategy across GPU cloud and AI infrastructure offerings, spanning consumption, subscription, and enterprise models.

  • Ensure pricing balances growth, margin expansion, hardware lifecycle economics, and competitive positioning.

  • Lead pricing architecture for complex enterprise agreements, building detailed deal P&Ls and margin guardrails.

  • Partner with Sales and Product to structure scalable pricing that accelerates adoption while protecting long-term profitability.

  • Own the financial frameworks connecting GPU/server capex, utilization, hardware refresh cycles, and pricing strategy.

  • Develop multi-year NPV, ROI, and breakeven models to guide infrastructure investment and lifecycle decisions.

  • Build integrated multi-year models linking demand forecasts, pricing levers, and margin outcomes.

  • Design sensitivity analyses to assess revenue and profitability impacts across competitive and market scenarios.

  • Scale pricing models and reporting through automation and analytics tools to improve speed, accuracy, and governance of pricing decisions.

You

  • Have 8+ years of experience in pricing strategy, infrastructure finance, product finance, or strategic FP&A within a high-growth technology company.

  • Have deep experience in cloud, AI infrastructure, data center economics, or consumption-based business models.

  • Have advanced financial modeling expertise (multi-year cash flow models, NPV/IRR, scenario modeling, unit economics).

  • Demonstrate ownership of pricing decisions influencing large revenue streams and/or capital investments.

  • Have strong executive communication skills — able to distill complex infrastructure and financial data into clear, decision-ready narratives.

  • Have experience partnering closely with Sales, Product, Engineering, and executive stakeholders.

  • Advanced Excel skills (Power Query/Power Pivot strongly preferred); familiarity with SQL and BI tools.

  • Operates with high autonomy, strong judgment, and a bias toward ownership.

Nice to Have

  • Experience pricing GPU infrastructure, AI workloads, or hyperscale cloud services.

  • Experience supporting Board-level materials or capital allocation discussions.
    Familiarity with AWS, Azure, or GCP infrastructure cost structures and pricing models.

  • Experience leading or mentoring other analysts or building pricing processes from the ground up.

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

  • Founded in 2012, with 500+ employees, and growing fast

  • Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove

  • We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

  • Our values are publicly available: https://lambda.ai/careers

  • We offer generous cash & equity compensation

  • Health, dental, and vision coverage for you and your dependents

  • Wellness and commuter stipends for select roles

  • 401k Plan with 2% company match (USA employees)

  • Flexible paid time off plan that we all actually use

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.