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 .

Account Engineer

Snowflake · Singapore, Not Applicable

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

The Account Engineer is a high-impact, cross-functional role designed to accelerate the customer journey from initial acquisition to successful platform adoption and expansion on the Snowflake AI Data Cloud. You will contribute to this mission by driving initial utilization, leveraging modern AI-powered tools and coding agents to ensure technical success.

This role bridges the critical gap by helping new and early-stage customers achieve rapid implementation, quick value, and a world-class experience on the Snowflake platform. You will be the dedicated customer technical partner, responsible for driving technical enablement and supporting the overall activation and adoption of our customers initial use cases.

This is a fantastic opportunity for technical professionals to develop deep expertise in cloud data architecture, make a measurable impact on customer success, and contribute to one of the fastest-growing technology companies.

KEY RESPONSIBILITIES AND DELIVERABLES

The Account Engineer manages a critical portfolio of new and early-stage customers, and is accountable for accelerating their time-to-value and achieving sustained platform growth. Operating as a Full-Stack Technical Resource, this role blends deep hands-on expertise with the strategic acumen of a business leader.

Strategic Ownership and Value Creation

  • Lead Your Account Micro-Business: Take ownership of the technical success and consumption trajectory within your assigned portfolio, driving adoption metrics in your assigned accounts, acting as a single point of contact for all customer needs.

  • Driving Outcome-Based Utilization: Apply an outcome-based selling mindset to customer engagements, focusing on how the Snowflake AI Data Cloud helps them solve complex data challenges and unlock maximum business value—not just product features.

  • Strategic Advisory and Guidance: Serve as a trusted strategic advisor immediately following the initial contract close, providing guidance on data strategy, technology stack integration, and ensuring a swift, successful activation of Use Cases.

  • Deliver Technical Value with AI: Deliver technical value efficiently by leveraging cutting-edge AI-powered development tools and automation to accelerate solutions and implementation guidance, helping customers move faster to production.

TECHNICAL EXECUTION AND COLLABORATION

  • Architectural Leadership: Provide customers with critical, Snowflake-specific foundational guidance, including Architectural Best Practices, Workload Isolation & Warehouse Utilization, Resource Monitoring & Alerts, Budgeting, and RBAC/Security Setup.

  • Cross-Functional Collaboration: Collaborate effectively with the Account Team to highlight risks and establish and nurture trusted relationships with internal Snowflake teams (e.g., Professional Services, Support) and external partners to ensure seamless resource orchestration.

  • Develop Scalable Programs: Create and deliver reusable, high-impact programs, such as Hands-on Labs (HoLs) and webinars, to educate a wide customer audience on specific platform features and industry best practices.

  • Technical Feedback Loop & Innovation: Act as a key feedback loop from the field to influence future product development, working closely with Product Management and Engineering teams.

  • Expert Support and Triage: Efficiently triage a broad array of incoming customer inquiries, assisting the field team with demos, troubleshooting, and identifying opportunities to qualify potential business value for the Expansion team.

REQUIRED QUALIFICATIONS

We are seeking highly skilled and motivated technical professionals eager to launch their next career chapter with us.

  • Technical Aptitude: Hands-on experience with SQL is required.

  • Data & Cloud Knowledge: Strong foundational understanding and experience with data architecture, data analytics, and the core concepts of major cloud platforms (AWS, Azure, Google Cloud).

  • Growth Mindset: A strong desire to learn, grow your technical skills, and become an expert in the Snowflake platform.

  • Communication Skills: Excellent written and verbal communication skills with the ability to communicate technical concepts clearly and effectively to diverse audiences.

  • Professional Skills: Ability to handle multiple projects simultaneously and possess Project Management skills to track, manage, and drive customers to an agreed-upon timeline.

  • Education: University degree in computer science, engineering, mathematics, or related fields, or equivalent practical experience in a technical role.

WHAT SETS YOU APART (PREFERRED QUALIFICATIONS)

  • SnowPro Core certification.

  • Proficiency in additional coding languages, particularly Python, Java, or Scala, especially in a data or application development context.

  • Experience with modern data technologies (e.g., CI/CD tooling, orchestration tools) or a basic understanding of Data Science concepts.

  • Prior experience or strong interest in leveraging AI-powered development tools and coding agents to increase solution delivery efficiency.

PERFORMANCE ASSESSMENT & CAREER PATH

This role is designed as a direct path to a successful career within the Snowflake Solution Engineering organization.

  • Impact Metrics: Performance is primarily assessed on customer success and platform adoption metrics:

    • Consumption: Driving new customer consumption for the initial contract period.

    • Use Cases: Documented success of helping customers move Use Cases to Production.

    • Growth: Measured via customer retention and growth within the managed portfolio.


Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com