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 .

Senior Python Scraping Engineer

Adthena · London, United Kingdom

Our Mission

Join us in shaping the future of paid search intelligence.

Adthena is an award-winning search intelligence platform powered by patented AI technology and a team of dedicated experts. We help brands, marketers, and agencies dominate their competitive landscapes with unparalleled insights into the paid search market. Our Whole Market View, Smart Monitor, and Local View solutions give clients the clarity to optimize spend, increase ROI, and stay ahead of the competition.

Trusted by global brands like Citibank, L’Oréal, and Volvo, and backed by Updata Partners, we’ve been redefining search intelligence since 2012.

In 2025, Adthena continued its winning streak, earning 8 major search industry awards. Highlights include Best AI Search Software Solution at the US Search Awards, Best Search Software Tool at the European Search Awards, and Best Software Innovation at the Global Search Awards.

Ready to make an impact in an industry-leading company? Let’s do it together.

Why Join Us?

We offer the best of both worlds: the maturity and stability of a well-established company combined with the energy, agility, and impact of a scaling tech organisation.

If you’ve been hesitant about joining a typical tech company due to concerns about chaos, fragility, or volatility, Adthena is your answer.

  • We’re smaller than large-scale enterprises, offering more autonomy, less red tape, and accelerated growth.

Here’s what we offer:

  • Startup Engineering culture

  • Strong Culture: Our quarterly surveys show a 93% average approval rating for company culture, with an overall eNPS of 27.

  • Award-Winning Product: US 2025 Search Awards for Best AI Search Software Innovation

  • Stock Options: Our employees do incredible work, so as we grow, everyone shares the rewards.

  • Trust-Based Vacation: Take as much time off as you need, when you need it.

  • Remote-First: 52% of Adthenian’s work fully remote, with others choosing Hybrid Work at our 3 Geohubs (London, Austin, Sydney).

  • Flexible Work: Work how and where you do your best, with full autonomy over your day.

  • Career Growth: Bespoke training and career development via "Sherpa plans” to guide your growth.

  • Monthly Hackdays & Training Days

  • Family Care Package: Up to 6 months fully paid maternity leave, and 2 months paternity leave.

  • Home Office Stipend: $200 for your ideal remote setup.

  • Swag Welcome Gift: $70 credit to grab some merch.

  • Birthday Day Off: Celebrate your special day.

  • Regular Socials: Summer & Christmas parties, annual and quarterly offsites, monthly meet-ups. See here for more info.

  • Volunteer Days: Make a difference with paid volunteer time each quarter. See here for more info.

About the Role

Reporting to: Paul Felby, Chief Product & Tech Officer

Location: UK Remote

Interviews: 3 Stages

Start Date: ASAP

More info: See FAQ below, our candidate hub, or reach out to [email protected]

What you’ll do at Adthena

As a Senior Python Scraping Engineer, you will design, build, and operate large-scale, resilient web scraping systems, with a strong focus on Google and Google-like search environments.

This role sits at the intersection of data engineering, reverse engineering, and systems reliability, and is critical to delivering accurate, timely, and trustworthy data at scale.

You will work on complex scraping problems where naïve approaches do not work, including dynamic rendering, anti-bot defences, frequent markup changes, and high-volume data collection.

We are leaders in adopting coding with AI tools. The role is ideal for someone who believes in agentic coding and would like to improve their skills.

Responsibilities

  • Design and maintain large-scale Python scraping systems that operate reliably against Google and other highly defended websites

  • Build scrapers for dynamic, JavaScript-heavy pages using browser automation and hybrid approaches

  • Continuously adapt to changes in page structure, request flows, and anti-automation mechanisms

  • Engineer robust extraction pipelines that prioritise data accuracy, consistency, and observability

  • Implement proxy, fingerprinting, and request-routing strategies to maximise stability and throughput

  • Monitor scrape health, detect failures early, and rapidly debug production issues

  • Optimise performance, cost, and latency across scraping infrastructure

  • Work closely with data engineers, data scientists, and product teams to ensure scraped data is usable and trusted

  • Document scraping logic and operational runbooks for long-term maintainability

Who we look for

Research shows men apply if they meet ~60% of the criteria, while women and underrepresented groups apply only if they meet all requirements. If you have the skills but don't meet every requirement, reach out – we'd love to explore how you could be a great fit!

Required Experience:

  • Strong professional experience with Python, including production-grade scraping systems

  • Deep hands-on experience scraping Google or similarly protected platforms

  • Solid understanding of HTTP, TLS, cookies, headers, redirects, and browser networking behaviour

  • Experience with tools such as Playwright, Selenium, Puppeteer, or equivalent browser automation frameworks

  • Strong knowledge of HTML parsing, DOM traversal, and data extraction techniques

  • Experience handling rate limiting, CAPTCHA, IP rotation, and bot detection systems

  • Comfortable working with asynchronous and concurrent scraping architectures

  • Experience running scrapers at scale in cloud environments

  • Strong debugging skills and ability to reason about complex failure modes

  • Experience with headless browser fingerprinting and anti-bot evasion techniques

Nice To Have:

  • Familiarity with containerisation and orchestration, such as Docker and Kubernetes

  • Experience with distributed task systems and job queues

  • Background in data quality monitoring and anomaly detection

  • Experience working with search, advertising, or competitive intelligence data

What We Value

  • Pragmatic problem-solving in hostile and fast-changing technical environments

  • High ownership of systems that run continuously and at scale

  • A strong bias toward reliability, correctness, and observability

  • Ability to explain complex technical behaviour clearly to non-specialists

  • Curiosity about how large platforms evolve their defences and infrastructure

Our Core Values

All Adthenians are expected to align closely with our ‘Core Values’.

What it means...

  • Get Shit Done: We're big on taking action, owning our challenges, and finding solutions.

  • Freedom with Responsibility: We take charge of results to recognition. We know that our hustle not only moves the needle for the company but also sets us up for personal success.

  • Deliver Remarkable Quality: We care about exceeding expectations in the work we do and aim to always do our best work as individuals and as a team.

  • Smart & Always Improving: We strive daily to expand our knowledge and become better at what we do.

Meet your teammates

You’ll work closely with:

Paul Felby
Title: Chief Product & Tech Officer
LinkedIn: https://www.linkedin.com/in/paul-felby-1a475a18a/

Ivan Nikolov
Title: Lead Technical Architect
LinkedIn: https://www.linkedin.com/in/ivan-nikolov-475b2040/