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 .

Developer AdvocateNewLondon

Nscaleoperationsukltd · United States

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At Nscale, we’re on a mission to build the engine of superintelligence, and developers are at the center of how that future gets built.

We’re looking for a Developer Advocate to define how developers discover, learn, build, and scale on Nscale’s AI infrastructure platform. This role will own the global developer relations strategy - from technical content and community engagement to developer experience feedback loops and ecosystem growth - ensuring developers can successfully build and deploy AI workloads on Nscale.

You’ll lead programs that connect Nscale’s engineering and product teams with the global developer community, turning powerful infrastructure capabilities into approachable demos, learning paths, hands-on examples, and engaging developer experiences.

 

This role sits on the Product Marketing team and focuses on three core pillars:

  • Technical storytelling & community engagement: Creating content, demos, and events that help developers understand and adopt Nscale’s AI infrastructure platform.
  • Developer adoption & ecosystem growth: Expanding the global community of developers building on Nscale infrastructure through education, advocacy, and partnerships.
  • Developer experience & product feedback: Acting as the voice of the developer internally, identifying friction in onboarding, documentation, services, and tooling.

You’ll have the autonomy to build the foundations of a modern DevRel function from the ground up - defining the programs and developer journeys that make Nscale the platform developers choose to build the next generation of AI on. At Nscale, innovation isn’t just encouraged - it’s expected.

What You’ll Do

  • Own the global developer relations strategy. Define how Nscale engages developers across content, community, events, and education to drive platform adoption.
  • Drive developer adoption. Create self-serve content that supports every stage of the developer journey - from discovery and evaluation to building and deploying AI workloads on Nscale.
  • Create a developer content engine. Oversee the creation of high-quality technical resources, including documentation improvements, code samples, demos, tutorials, notebooks, blog posts, and videos.
  • Represent Nscale in the developer ecosystem. Speak at developer conferences, meetups, and hackathons; build strong relationships with open-source communities, AI-native companies, and the broader AI research community.
  • Act as the bridge between developers and internal teams. Serve as a key connection point across Product, AI Platform Engineering, and Marketing. Identify friction, gaps, and emerging use cases from the developer ecosystem, feeding these insights back into product and platform teams while staying closely aligned with roadmap direction to proactively shape external content, demos, and ecosystem contributions.
  • Build and scale developer programs. Launch initiatives such as ambassador programs, open-source initiatives, research collaborations, and training programs that help developers succeed on Nscale.
  • Instrument developer growth. Support product-led developer growth by partnering with growth teams to define KPIs and dashboards that track self-serve adoption, usage, content engagement, and community growth.
  • Experiment and evolve. Test new formats for developer education (live coding, interactive labs, tutorials, community challenges) and scale what drives adoption.

Who You Are

  • 8+ years of experience in developer relations, advocacy, technical marketing, or developer-focused product roles within technology companies, with a track record of building programs that drive measurable product adoption.
  • Bachelor's Degree in Machine Learning, Engineering, Computer Science, Technical or other related discipline or equivalent experience
  • Strong technical background in ML and passionate about cloud infrastructure, with hands-on experience running AI workloads at scale (e.g., GPU compute, distributed systems, Kubernetes, model fine-tuning, and production inference), and familiarity with modern AI tooling including open-source frameworks, libraries, and agent-based systems.
  • Deep understanding of how both AI-native teams and enterprises adopt AI infrastructure, with the ability to position beyond demos by showing how workloads evolve from prototype to production across development, testing, and production environments.
  • Strong point of view on the evolving AI landscape, with the ability to identify emerging models, techniques, and developer patterns early and translate them into high-impact content, demos, and strategic opportunities.
  • Deeply connected within the AI/ML ecosystem, with strong industry ties across leading companies, open-source communities, or research groups (e.g., NVIDIA, Hugging Face, PyTorch, TensorFlow, JAX, Kaggle, Modular, GPU Mode, Python Foundation).
  • Proven ability to communicate complex technical concepts and engage developer communities across content, speaking at events, open source, and online platforms
  • Data-driven mindset, with experience measuring developer adoption and engagement metrics; familiarity with product-led growth (PLG) motions is a plus.
  • Comfortable collaborating with engineering, product, and marketing teams, and communicating insights and impact to senior leadership.

What success looks like in the first 6 months

  • Developer relations strategy and developer adoption roadmap formally adopted by Marketing, Product, and AI Engineering teams.
  • Developer onboarding resources live, including demos, cookbooks, tutorials, and technical blogs published to support onboarding and developer success.
  • Nscale developer presence established across key technical communities and developer events.
  • Active contributions to strategic open-source projects, strengthening Nscale’s position as a leading AI infrastructure platform and GPU provider within the developer ecosystem.
  • Developer adoption metrics and reporting dashboards established in partnership with Marketing to support product-led growth, tracking indicators such as usage, onboarding success, and community engagement.
  • Developer community presence established, including the launch of an initial community space and early programs to help developers connect, share knowledge, and build on Nscale.

Why Nscale

At Nscale, we’re a team of builders, operators, and storytellers shaping the future of AI infrastructure.

You’ll join a company where developers are central to our growth and where developer relations is treated as a core strategic function - not just a marketing channel.

If you’re excited about helping developers build the next generation of AI applications and defining how a fast-growing AI infrastructure company engages with its developer ecosystem, this role is for you.

 

 

 

For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.

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