The Rejection Reasons tab in your Preferences lets you tell Auto Apply which job titles and skillsets you don't want to see, before they ever appear in your queue. This helps refine your matches over time so you spend less time reviewing jobs that aren't a fit.
Where to find it
Go to Preferences → Rejection Reasons.
How it works
Auto Apply builds these rejection patterns in two ways:
From your rejections — when you decline a suggested job and provide a reason, that feedback shapes future matching automatically.
From filters you add manually — using the Rejection Reasons tab, you can proactively add job titles and skillsets you'd like to avoid.
Future jobs that match your rejection patterns will either receive a lower fit score or be filtered out of your queue entirely, depending on how strongly the match aligns.
Adding rejection filters
The Rejection Reasons tab has two sections:
Job Titles
Add specific job titles you don't want to be matched with. For example, if you're a Senior Data Engineer and don't want entry-level roles, you could add titles like "Junior Data Analyst" or "Data Entry."
To add one:
Type the job title in the input field
Click Add
Skillsets
Add skills you don't want jobs to require. For example, if you don't want roles requiring German language proficiency or a specific programming framework, add those here.
To add one:
Type the skillset in the input field
Click Add
Managing your filters
You can add or remove filters at any time. Removing a filter means Auto Apply will no longer exclude jobs based on that specific title or skillset going forward — jobs already declined stay declined.
Tips for effective filtering
Start small. Add filters gradually as you notice unwanted matches, rather than trying to predict every possible mismatch upfront.
Be specific. "Junior Data Analyst" filters more precisely than "Junior" alone, which could unintentionally exclude senior roles at junior-friendly companies.
Combine with declining feedback. Manual filters work best alongside reasons given when you decline jobs — both sources of information sharpen matching together.