The Problem:
Job boards are noisy. You scroll through hundreds of roles, most irrelevant, outdated, or clearly not a fit. The signal-to-noise ratio is low, and the time cost is high.
As a UX/UI designer, I didn’t just want more jobs. I wanted the right jobs, roles aligned with my experience level, in the right locations, from companies I actually cared about.
There was no tool doing that filtering properly. So I built one.
The Idea:
An AI-powered agent that runs on a schedule, scans multiple job sources, filters for relevance, and delivers only qualified product design roles directly to me.
No scrolling. No refreshing job boards. No manual filtering.
The concept was simple: Automate discovery, but more importantly, prioritize quality over volume.
The Process:
Defining the System Before Writing Code
Before touching implementation, I defined what this agent needed to do well. It had to be push-based, not pull-based:
Pull jobs from reliable sources
Filter specifically for product/UX design roles
Prioritize early-to-mid career opportunities (1–5 years of experience)
Run automatically without manual input
Deliver results in a simple, digestible format
I also defined what this was not:
Not a job board
Not a dashboard
Choosing the Right Data Sources
The biggest decision was not technical, it was strategic. Most job boards are aggregators, which means:
Duplicate listings
Outdated roles
Low relevance
Instead of relying on generic platforms, I prioritized:
Remotive API for remote roles
Company career pages (targeted startups in Vancouver, Canada, and the US)
ATS systems like Greenhouse/Lever (future expansion)
This shift was critical. It turned the agent from a job scraper into a high-signal opportunity filter.
Designing the Filtering Logic
Building the Agent
Automation and Scheduling
The agent runs using GitHub Actions. Key decisions:
Runs at 7am and 1pm PT
Uses a state file to prevent duplicate sends
Includes safeguards to avoid unnecessary runs
Iteration and Debugging
The Result:
A fully automated job discovery system that:
Runs twice daily without manual input
Filters roles based on title and experience
Prioritizes relevant product design opportunities
Reduces time spent searching while increasing quality of results
Instead of checking job boards, the right roles come to me.