How AI job matching works, and how to get scores you can trust
Searching job titles tells you little about whether a role fits you. AI matching reads the whole job description and compares it with your CV and preferences, then explains how well they line up. Here is what goes into a score and how to use it sensibly.
What goes into a match score
A good match score is built from several things, not a single keyword count:
- Your experience. The roles, skills and achievements on your CV and profile.
- Your search. The job titles you want, your preferred locations and whether you want remote work.
- The job description. The responsibilities, required skills and seniority the employer asks for.
JobNomad turns this into a score, a short written reason, the skills you already have that the role needs, the skills you may be missing, and a view on whether the seniority is right.
What a score does and does not tell you
- A high score means the role looks close to what you have done and what you want. It is a reason to look closely, not a promise of an interview.
- A middling score often means the role is a stretch or only partly relevant. These are worth a quick read, especially if the missing skills are ones you can learn.
- A low score usually means the role is a different function, a different level, or not what you search for.
Scores are a way to sort a long list. They are not a judgement of your worth, and an employer's own decision can differ.
How JobNomad uses the score
By default, strong matches are prepared for your review with a draft cover letter and CV suggestions. Mid-range matches are included in a digest so you can decide. Low scores are skipped. You can change these thresholds in your settings.
Nothing is sent to an employer without you. Before an application goes out, you review it and add a sentence of your own on why you want the role.
Getting better results
- Keep your CV current. The match can only use what is on it.
- Be specific about your target roles. "Head of Product" gives a clearer search than "senior leadership".
- Set your locations and remote preference. This removes roles you would not take.
- Read the reason, not only the number. It tells you why a role scored the way it did.
- Adjust over time. If you keep seeing roles that are not right, change your target roles or thresholds.
Keep a human in the loop
AI is good at reading many descriptions quickly. You are better at knowing what you want from the next job. Use the score to focus your time, then make the final decision yourself.