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Most people run their job search the same way, opening a job board, typing in a title, and scrolling through hundreds of roles that almost fit. In this episode of The Missing Manual, Julia Levy and Jenny Cotie Kangas show a different way to do it, using AI agents that search for roles by fit instead of by title and build a resume that is one size fits one for each posting they find.
The heart of the episode is a principle Jenny keeps coming back to, that good is subjective to the individual person. Before any agent can help you, you have to define what good looks like for you, and most people never pause to do it. Jenny walks through the system she built to find applied AI roles, starting with an interview that draws out her version of good, then a grounding document, then a career blueprint that captures everything she has ever done, then a daily search that finds the roles and a running log that keeps her agents from surfacing the same one twice.
Julia brings the buyer side view from 25 years leading talent acquisition inside Fortune 500 companies. She and Jenny spent their careers building these systems on the employer side, and this episode is the flip side, the same power handed to the person looking for their next role. Julia also adds the step she learned to rely on, naming the environments that are a hard no so the search filters them out before they ever reach her.
Jenny productized her entire search into a free guide called the Builder's Playbook and put it on GitHub for anyone to use, because the job search can be a defeating process and everyone deserves a real shot at their next right thing. The link is with the episode. Find The Missing Manual wherever you listen to podcasts.
Access Jenny's step by step process FREE here: Job Search Automation
