Resume Writing Guides
Resume Examples & Writing Guides
These are editorial guides, not templates to download and fill in. Each one contains a full mock resume for a real role, a keyword list tuned to modern ATS systems, annotated weak-to-strong bullet rewrites, and the specific mistakes that get applications filtered before a human reads them.
Browse by role
Select the role that matches where you are applying. Each guide is written for that specific hiring context — screener expectations differ significantly between a PM search and a data science search.
Frontend Developer
How to write a frontend developer resume that clears ATS and lands interviews in 2026
Data Scientist
How to write a data scientist resume that shows ML impact, not just skills
Product Manager
How to write a product manager resume that proves you ship outcomes, not features
UX Designer
How to write a UX designer resume that gets past the screener and into the portfolio review
How to use this guide
Three steps. The third one is the most commonly skipped and the most impactful.
Study the mock resume
Read the full example resume for your role. Notice what is in the header, how the skills section is structured, and — most importantly — how each bullet is written. The mock is calibrated for a mid-level candidate applying to companies that have a real ATS and a non-technical first-pass screener.
Read the section guides
Each guide targets a specific section (Work Experience, Skills, Projects) with a single focused tip and two weak-to-strong rewrites with explanations. Apply the same transformation logic to your own bullets. The why column matters more than the examples themselves.
Tailor the keywords per application
Copy the ATS keyword list for your role. Open the target job description alongside it. Every keyword in the JD that also appears in our list should appear verbatim in your resume — ideally in a bullet, not just the skills section. This takes five minutes and meaningfully lifts parse rates.