How to Tailor Your Resume to a Job Description: Worked Example

TL;DR: To tailor your resume to a job description, turn the ad into a list of requirements, find your evidence for each one, then change only the parts a reader meets first: headline, summary, bullet order and the wording of terms. Titles, employers, dates, degrees and numbers stay fixed, because employers can verify them. Do it below on a real Dropbox ad, then check the tailored file against the ad before you apply.

Should you tailor your resume to every job description?

Tailoring a resume: re-selecting, reordering and rewording true material from your master resume so that the evidence a specific job ad asks for appears first and in the ad's own terms.

Yes, for any job you want. The reason is mechanical: employers score your resume against criteria built from the job, and Greenhouse documents that chain in its own help center.

It starts before the ad goes live. Greenhouse's best-practice guide to scorecards tells hiring teams to define "what short-term (90-day) and long-term (365-day) success looks like" and to "use the 90-day and 365-day definitions of success for the role to define testable attributes". Those attributes become the interview scorecard.

Then comes AI matching. Greenhouse's Talent Matching FAQ says that when a job has a job post and scorecard attributes configured, "the assistant uses them to draft an initial setup before you type anything". The recruiter can then select "skills, experience, job titles, and (optionally) industry". From your resume, the system extracts "skills, job titles, years of experience, start/end dates of employment, and company names", per its data processing FAQ, and sorts applicants into Strong, Good, Partial or Limited Match. It "does not automatically advance or reject candidates", but that comparison decides which group your application lands in.

So in a Greenhouse account with Talent Matching switched on, the job post you are reading is close to a draft of the criteria your resume is matched against. Other systems differ in detail, and you cannot see which features an employer has enabled. The safe reading is the same either way: the ad tells you what the employer has written down as the job, and your resume should answer it in order.

Tailoring is a different task from keyword matching. Keywords decide whether a recruiter's search finds you, which the resume keywords guide covers in depth. Tailoring decides what the recruiter and the hiring manager see first once they open the file.

Step 1: turn the job ad into a requirement-to-evidence map

The worked example uses a real ad: Dropbox's Scaled Customer Success Manager (Remote, select US locations), first published on Dropbox's Greenhouse-hosted job board on 1 October 2026 and last updated on 5 October. It is quoted here rather than linked because postings close. Whether Dropbox's recruiters use Talent Matching is not public; the ad is simply a well-written example of a modern posting.

Read the ad in three passes. First, copy the "Requirements" and "Preferred Qualifications" lists into a plain document; the role description and benefits carry context, not criteria. Second, label each line: a threshold (years, degree, location), an outcome (something you must have achieved), a skill or tool, or preferred. Third, write your evidence next to each line, or write "none".

The map does two jobs. It shows which rows you can prove, and it shows the gaps. A required outcome with "none" in the evidence column is a reason to think hard before applying, not a reason to invent a bullet. A preferred row with "none" costs little; leave it empty.

The ad's phrasing also tells you what matters most. Retention or renewals come up in four of its eight requirements, from save plays to retention metrics to renewal-readiness campaigns. That repetition is the employer telling you which evidence to put at the top.

Step 2: rewrite the headline, the summary and three bullets

With the map done, edit from the top of the page down, because readers and parsers both meet the top first.

Headline. Use the ad's title if it describes your current work honestly: "Customer Success Manager, SaaS renewals and scaled programs" is a fair headline for a CSM with that background. It describes your work, while your actual titles stay in the experience section.

Summary. Two or three sentences that answer the top two rows of the map: years in post-sale roles and your strongest retention result. The resume summary examples post has a four-step method for tailoring the summary to one posting.

Bullets. Reorder before you rewrite. Move the bullet that proves the "save plays" row to the top of your latest role, then rewrite the three bullets that cover the top rows. The examples below use bracketed placeholders; replace them with your own figures or drop the clause.

• Before: "Managed a portfolio of SMB accounts and handled renewals."

• After: "Owned renewal readiness for [180] mid-market and SMB accounts ([$4.2M] ARR); ran save plays on [23] at-risk renewals flagged by usage and sentiment signals and held gross revenue retention (GRR) at [91%]."

• Before: "Ran customer webinars and onboarding emails."

• After: "Designed a [6]-part onboarding webinar series and lifecycle email campaign for [400] scaled accounts, then measured adoption of [two] key features against accounts that did not attend."

• Before: "Worked with sales on upsell opportunities."

• After: "Qualified [14] expansion opportunities from license-utilization data and handed them to Sales with account context; [9] closed."

Each "after" bullet answers one row of the map in the ad's own terms: "save plays", "gross revenue retention", "one-to-many", "license utilization". The ad calls handed-over opportunities "Customer Success Qualified Leads (CSQLs)". Use that label only if your team used it or something equivalent; otherwise describe the handoff in plain words, as the third bullet does.

Leave the rest of the resume alone. Older roles keep their bullets, and the skills section gets reordered so the tools the ad names come first. For verbs that echo the posting without copying it, see resume action verbs.

Where tailoring becomes fabrication

Where tailoring ends is set by the facts a third party can check. When an employer uses a background screening company, it must first tell you in writing, in a stand-alone notice, and get your written permission, according to the Federal Trade Commission; the same guidance says employers may look into "work history, education, criminal record, financial history". The databases behind those checks hold the exact facts people are tempted to stretch.

• Equifax's Verification Services Overview says an instant employment verification from The Work Number "includes start date, tenure, job title, etc.", drawn from employer payroll data.
• The National Student Clearinghouse says "nearly all colleges and universities" take part in its degree verification program, which often works through screening companies hired by large employers (post dated 5 June 2024).

Two cases sit near the line. If your official title was "Account Specialist" but the work was customer success, keep the title and let the bullets show the work; a line such as "Account Specialist (post-sale customer success)" is defensible only if a former manager would describe the role that way. And the "4+ years" threshold is met by dates. Greenhouse's Talent Matching extracts both years of experience and employment start and end dates from the resume, so a summary that says "5 years" when the dates add up to three contradicts the file it sits in.

The interview is the second check. Greenhouse's focus attributes feature lets an employer pick which scorecard attributes each interview should focus on, so different interviewers probe different rows of what is, in effect, your map. Keep a tailored term only if you could talk about it for two minutes with a hiring manager who knows the field.

ChatGPT prompts that tailor without inventing

Google's People Also Ask box for this search includes "How to get ChatGPT to tailor resume to job description?". A chatbot handles the mechanical parts well, such as lining up requirements against your text and suggesting the ad's terms, but it has no way of knowing what you did. The two prompts below keep it on the mechanical side of that split. Remove your phone number, email and street address before pasting.

Prompt 1, the gap map (no rewriting):

Here is a job ad and my resume. List each line under the ad's requirements and preferred qualifications. For each one, quote the exact line from my resume that supports it, or write NO EVIDENCE. Do not rewrite anything and do not suggest skills or experience that are not in my resume.

Prompt 2, constrained rewrite:

Rewrite the three bullets below so they use the job ad's terms where they describe the same work. Keep every job title, employer, date and number exactly as I wrote them. If a bullet would need a number I did not give you, insert [NUMBER?] instead of estimating one. Return only the three bullets.

Then check the output by hand. Compare every number and date with your master resume. Delete any term you could not explain in an interview, and read each bullet aloud: a sentence that sounds like the ad rather than like you will sound the same way to the hiring manager.

Last, check what the employer's software will receive. Tailoring is wasted if the parser misreads the file, and a fresh export is the moment layout problems creep back in. The cvmakeover.ai ATS checker takes the job ad together with your upload, shows the text it pulled from your file, and lists which of the ad's terms your resume contains, with the required ones flagged. Its coverage figure is our own measure, not an employer's ranking, so use it as a list of gaps rather than a score to chase.

Tailoring questions

Are you supposed to tailor your resume to a job description?+

Yes, for roles you want. In Greenhouse, the Talent Matching assistant drafts its matching setup from the job post and scorecard attributes when the job has them, and the scorecard comes from the hiring team's definition of success in the role. A resume that answers the ad's requirements in order meets those criteria head on.

How do I tailor my resume to a job posting quickly?+

Keep a master resume with all your bullets. For each ad, map its requirements to your evidence, then change only the headline, the summary, the order of bullets in your latest role and three rewritten bullets. Leave older roles alone.

Can I change my job title to match the job description?+

No. Employment verification services such as Equifax's The Work Number report the job title from employer payroll records. Keep the official title and let the bullets and headline show how the work matches the new role.

Is it lying to tailor a resume?+

Re-selecting, reordering and rewording true material is not lying. Changing titles, dates, degrees or numbers is, and those are the facts background checks and degree verification cover.

Should I use ChatGPT to tailor my resume?+

Use it to map the ad's requirements against your text and to suggest the ad's wording, with instructions to keep titles, dates and numbers unchanged. Check every figure in its output against your own records before you send anything.

Key takeaways

• In Greenhouse, the job post and scorecard attributes seed the Talent Matching setup, so the ad in front of you is a close draft of the criteria your resume meets.
• Build a requirement-to-evidence map before editing; a required outcome with no evidence is a signal about fit, not a gap to fill with invented bullets.
• Spend the edits where readers look first: headline, summary, bullet order in the latest role and three rewritten bullets in the ad's terms.
• Titles, employers, dates, degrees and numbers stay fixed because The Work Number and the National Student Clearinghouse let employers check them.
• Use a chatbot for the gap map and constrained rewrites, then verify every number yourself and check the parsed file before applying.