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 .

Director, Agentic AI Solutions and Ops

Marvell Technology · Bangalore

About Marvell

Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities. 

At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. 

Your Team, Your Impact

Marvell Enterprise AI group works at the center of the company’s innovation engine, powering the silicon that powers the world. We partner with engineering and business leaders to solve complex problems, scale securely, and turn bold ideas into products that matter.

At Marvell, we are moving from AI experimentation to enterprise-scale, agentic
solutions that deliver measurable business impact. This next phase requires more than models or platforms - it requires production-grade AI applications that are accurate, governed, observable, and continuously improving through real-world usage.

What You Can Expect

The Director of Agentic AI Solutions Engineering will lead the design,
development, and operation of enterprise agentic applications that power
intelligent workflows, decision support, and automation across the company. This role owns the end-to-end lifecycle of agentic solutions - from architecture and build, through deployment and continuous improvement -while leveraging
shared evaluation, observability, and governance services provided by the
enterprise AI platform.


This is a hands-on leadership role. You will architect solutions, guide
implementation, and build a team that delivers AI applications designed from
day one for automation, continuous evaluation, and minimal manual oversight.
Success is measured by solutions in production that operate reliably at scale,
maintain accuracy over time, and deliver clear business ROI.
Key Responsibilities

  • Lead architecture and delivery of scalable, reusable agentic AI solutions aligned with enterprise AI platforms.

  • Design agent workflows using MCP, orchestration frameworks, and shared platform services-built for reuse, not pilots.

  • Embed evaluation-by-design, leveraging standardized enterprise evaluation, governance, and observability services.

  • Drive automation-first operations, including AI-powered monitoring, anomaly detection, and remediation.

  • Partner with business leaders to translate problems into well-scoped agentic solutions, using human-in-the-loop only where risk or governance requires.

  • Define and track solution-level metrics (adoption, accuracy, cost, business impact) and provide executive-ready ROI reporting.

  • Lead hands-on tool evaluation and build reference implementations aligned to enterprise standards.

  • Transition mature solutions to IT/Platform teams with clean operational handoff and accountability.

  • Build and scale a lean Agentic Solutions Engineering team, setting strong engineering and quality standards.

  • Act as a senior technical partner across AI Platform, Governance, Enablement, and IT teams.

What We're Looking For

Preferred Experience

  • 12–18+ years in platform operations, DevOps, SRE, or AI/ML Ops roles. 

  • Proven experience owning both architecture and delivery of enterprise-scale platforms. 

  • Track record of building teams that ship and operate complex systems. 

  • Strong understanding of GenAI operational challenges (cost, latency, evaluation, governance). 

  • Experience influencing architecture without needing to be the primary coder. 

  • Ability to operate effectively in global, matrixed enterprise environments. 

 Technology Stack & Tooling

  • Agentic & AI Platforms: Enterprise Agentic Platforms, MCP-based architectures, orchestration frameworks

  • Evaluation & Governance (Consumed Services): Enterprise evaluation frameworks, accuracy scoring, audit services

  • Observability & Ops: AI-driven monitoring, tracing, cost tracking, automated remediation

  • Cloud & Infrastructure: AWS, Kubernetes, containerized services

  • Integration & Delivery: APIs, workflow automation, CI/CD for AI applications

Mindset & Attributes

  • Automation-first thinker who designs systems to operate themselves.

  • Strong ownership mindset from design through sustained production.

  • Pragmatic, quality-driven, and focused on business outcomes.

  • Comfortable leveraging shared services rather than reinventing platforms.

  • Builder of scalable systems and high-performing teams.

Additional Compensation and Benefit Elements

With competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity. We’re dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us. For additional information on what it’s like to work at Marvell, visit our Careers page.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Interview Integrity 

To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.

These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.

This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.

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