To move from engineering to product, don't just ask for the role. Proactively demonstrate PM skills by systemizing learnings from customer interactions. Starting an internal 'customer insight newsletter' based on your debugging work proves your value and builds an undeniable case for the transition.
In AI, low prototyping costs and customer uncertainty make the traditional research-first PM model obsolete. The new approach is to build a prototype quickly, show it to customers to discover possibilities, and then iterate based on their reactions, effectively building the solution before the problem is fully defined.
In AI PM interviews, 'vibe coding' isn't a technical test. Interviewers evaluate your product thinking through how you structure prompts, the user insights you bring to iterations, and your ability to define feedback loops, not your ability to write code.
Instead of generic PRD generators, a high-leverage AI agent for PMs is a personalized reviewer. By training an agent on your manager's past document reviews, you can pre-empt their specific feedback, align your work with their priorities, and increase your credibility and efficiency.
Each FAANG company suits a different PM. Microsoft is a 'dreamland' for building without immediate business pressure. Amazon demands strict P&L ownership and execution speed. Meta is for rapid, high-stakes iteration with top engineers. Google is obsessed with perfecting the user experience.
A structured path to a top AI PM role moves from building prototypes to getting production experience. The final, critical step is to build a public brand by running evaluations on major open-source models (from Google, Meta, etc.) and publishing your findings and improvements.
Effective prompt engineering for AI agents isn't an unstructured art. A robust prompt clearly defines the agent's persona ('Role'), gives specific, bracketed commands for external inputs ('Instructions'), and sets boundaries on behavior ('Guardrails'). This structure signals advanced AI literacy to interviewers and collaborators.
A powerful, non-traditional way to break into a competitive field like AI is to identify a company's core research hub and offer your services for free on off-hours. This demonstrates passion and provides direct access to opportunities before they become formal roles, allowing you to bypass traditional application processes.