Resource-constrained startups demonstrate the future of corporate functions by bypassing HR entirely. Founders now use LLMs to write job descriptions and build custom AI agents to screen and stack-rank resumes, automating the entire top of the hiring funnel.

Candidates are embedding hidden text and instructions in their resumes to game automated AI hiring platforms. This 'prompt hacking' tactic, reportedly found in up to 10% of applications by one firm, represents a new front in the cat-and-mouse game between applicants and the algorithms designed to filter them.

Instead of editing a single resume for each job, create a master 'bullet vault.' This is a comprehensive document with numerous accomplishment-based bullets covering all core PM skill areas. For each application, you can then quickly select and stack-rank the most relevant points.

LinkedIn now automatically profiles you using an LLM that analyzes your bio, title, and industry. Unlike the old system of self-selected keywords, you must now craft your bio with machine-readability in mind, clearly stating your ICP, industry, and credibility metrics for the algorithm to categorize you correctly.

To build an AI-native team, shift the hiring process from reviewing resumes to evaluating portfolios of work. Ask candidates to demonstrate what they've built with AI, their favorite prompt techniques, and apps they wish they could create. This reveals practical skill over credentialism.

When hiring for creative roles like AI Product Manager, the resume itself is evaluated as a product. A generic, plain-text resume signals a lack of creativity and product taste. The design, clarity, and cohesive narrative it tells are direct demonstrations of the candidate's core skills.

When companies use black-box AI for hiring, it creates a no-win 'arms race.' Applicants use prompt injection and other tricks to game the system, while companies build countermeasures to detect them. This escalatory cycle is a 'war of attrition' where the underlying goal of finding the right candidate is lost.

To generate rich, authentic resume content, first use an AI transcription tool to record spoken answers to detailed career questions. This 'brain dump' captures nuances and forgotten achievements that can then be fed to an AI to structure into impactful resume bullets.

As AI renders cover letters useless for signaling candidate quality, employers are shifting their screening processes. They now rely more on assessments that are harder to cheat on, such as take-home coding challenges and automated AI interviews. This moves the evaluation from subjective text analysis to more objective, skill-based demonstrations early in the hiring funnel.