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How to tailor your CV to a job description

Everyone is told to tailor their CV per application. Almost nobody does it, because the advice never says which parts to change, and rewriting a whole document forty times is not a realistic ask. The useful version is narrower than it sounds: most of a CV should not change at all.

Read the posting for what it is actually asking

A job description usually contains three different things mixed together: the responsibilities of the role, the requirements HR wrote down, and the problem the team is actually trying to solve. The third is the one worth aiming at, and it is usually visible in the order things are listed and in what gets repeated.

If “migrating a legacy system” appears in the summary, in the responsibilities and again in the nice-to-haves, that is the job. A CV that leads with greenfield product work is answering a different question.

What to change

  • The profile / summary. This is the highest-leverage two sentences on the page and it should be different for every application. It is also the fastest thing to rewrite.
  • Which bullets appear under each role. You did more at every job than you list. Tailoring is often selection, not rewriting: promote the two bullets that match this role, drop the two that don't.
  • The order of skills. Put the stack the posting names first. This is close to free and disproportionately effective.
  • Vocabulary. Where you and the posting describe the same work with different words, use theirs — provided it is genuinely the same work.

What to leave alone

  • Employers, job titles, and dates. These get verified, and inconsistencies between your CV and your LinkedIn profile are noticed.
  • Education and certifications.
  • Anything you could not talk about confidently for ten minutes in an interview. If a tailored bullet would collapse under one follow-up question, it is not tailoring.

The line is between reframing and inventing. Describing a project you led as “platform migration” when the posting asks for migration experience is reframing, if that is what it was. Adding a technology you have never used is inventing, and it fails at the first technical screen.

How much to change

There is a real trade-off. Heavy rewriting per application produces a CV that fits the posting closely but no longer sounds like you, and it takes long enough that you stop doing it by application five. Light tailoring is sustainable but sometimes too subtle to matter.

SuitedCV makes this an explicit setting rather than a mood: four tailoring intensities, from touching only keywords through to a full rewrite, and per-section locks so anything you have hand-written stays exactly as you wrote it.

Keeping track of forty versions

The practical failure of tailoring is not the writing, it is the bookkeeping — forty near-identical files, and no memory of which one you sent to which company.

In SuitedCV each application is a version of one master CV. A version stores only the sections it changed and inherits the rest, so fixing your phone number once fixes it everywhere, and each version stays labelled with the company and role it was built for.

Common questions

How long should tailoring take per application?

By hand, ten to twenty minutes if you limit yourself to the summary, bullet selection and skill order. If it is taking an hour you are rewriting things that did not need to change.

Is it dishonest to describe the same job differently for different roles?

No, as long as every claim stays true. A single job genuinely contains several stories; choosing the one relevant to the reader is what a cover letter has always done. Inventing responsibilities you did not have is a different thing entirely.

Should I mirror the job description's exact wording?

Match its vocabulary where it describes work you actually did. Copying whole phrases reads as obvious to a human screener and helps less than people assume.

Do I need a different CV for every single application?

Not literally. Most job hunts cluster into three or four role shapes. A tailored version per cluster, then light adjustment per application, gets most of the benefit.

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