ATS Score Checker for San Francisco Jobs
& Resume Analyzer

Major SF Bay Area employers using ATS include Salesforce, Airbnb, Uber, Lyft, Stripe, OpenAI, Anthropic, Twitter/X, Slack (Salesforce), Dropbox, GitHub (Microsoft), Figma (Adobe), Wells Fargo, and hundreds of Y Combinator startups. SF tech companies predominantly use Greenhouse, Lever, and Workday for ATS screening.

For SF tech roles, match the exact technology stack from the JD. For AI and ML roles at OpenAI, Anthropic, and similar companies, include: LLMs, transformer architecture, fine-tuning, RLHF, PyTorch, TensorFlow, and ML infrastructure keywords. For fintech roles at Stripe, include payment systems, API design, financial compliance, and distributed systems terms. Always use the exact phrasing from the specific JD.

Yes, completely free. No account or credit card required. Upload your resume, paste the job description from LinkedIn, Greenhouse, Lever, or the company careers page, and get your ATS score with a full keyword gap analysis instantly.

SF startups value product-oriented keywords: product-led growth, PLG, go-to-market, ARR, MRR, churn, NPS, growth hacking, A/B testing, and startup-stage experience (seed, Series A/B). For engineering roles, include the specific language and framework stack, plus startup-relevant terms like rapid iteration, full-stack ownership, and cross-functional collaboration.

SF tech companies overwhelmingly use Greenhouse and Lever — applicant-friendly ATS platforms that support structured hiring. A few larger tech companies use Workday. The keyword matching principles are the same regardless of ATS platform. Your match score depends on keyword overlap with the specific JD, not on which ATS the employer uses.

For SF AI roles, the most critical ATS keywords come directly from the JD — model architectures named, frameworks listed, evaluation metrics specified. Common high-weight keywords include: transformer, RLHF, alignment, safety, inference optimization, CUDA, distributed training, and MLOps. List each framework and methodology explicitly in your skills section and demonstrate them in project descriptions.

Yes. The ATS score analysis is completely free — no account, no credit card, no hidden fees. You get your ATS score, keyword match breakdown, and missing skills instantly. AI-powered optimization (which rewrites your bullet points to match the job description) is available for logged-in users with credits.

A score of 80% or higher is considered ATS-friendly and likely to pass the initial automated screening. Below 60% significantly increases the risk of automatic rejection. Our tool shows you exactly which keywords to add to close the gap.

ATSAlign is trained to replicate the scoring logic used by major ATS platforms including Workday, Taleo, Greenhouse, Lever, iCIMS, and Jobvite. While no external tool can perfectly replicate every proprietary system, our semantic matching and keyword density analysis closely mirrors how real enterprise ATS software evaluates resumes.

DOCX is generally safer for ATS systems. Many older ATS platforms struggle to parse PDFs accurately, especially those with complex formatting. If the job posting does not specify a format, submit a clean, single-column DOCX file for the best ATS compatibility. Our tool accepts both formats so you can test whichever you plan to submit.

Check your ATS score every time you apply to a new role. A resume optimized for one job description may score poorly against a different one because keyword requirements vary by company and role. Tailoring your resume for each application significantly increases your chances of passing the ATS filter.

No account is required for the ATS score analysis. Just upload your resume and paste the job description — you'll get your full score, keyword breakdown, and missing skills instantly. An account is only needed if you want to use the AI optimization feature to automatically improve your resume.