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The guest secured his role at an AI-first company without prior professional AI experience. The key was a hands-on side project he built. Being able to discuss the practical challenges, pivots, and solutions of his project in interviews proved his capabilities far more effectively than a resume could.
Sending a resume is now an outdated and ineffective way to get noticed by AI startups. The proven strategy is to demonstrate high agency by building a relevant prototype or feature improvement and emailing it directly to the founders. This approach has led to key hires at companies like Suno and Micro One.
Theoretical knowledge is now just a prerequisite, not the key to getting hired in AI. Companies demand candidates who can demonstrate practical, day-one skills in building, deploying, and maintaining real, scalable AI systems. The ability to build is the new currency.
In today's job market, building a product or company on the side is no longer just "extra credit." Hiring managers view these projects as direct evidence of initiative, product thinking, and technical skill, sometimes weighing them as much as traditional work experience.
The primary value of a hands-on AI project isn't just the portfolio piece. It's the internal transformation of your self-perception and confidence. This newfound belief in your own capabilities becomes palpable to interviewers and unlocks higher-level opportunities, regardless of how much they focus on the project itself.
The most compelling way to demonstrate AI skills to an employer is to build something. Creating custom GPTs for personal productivity or simple apps proves practical problem-solving ability far more effectively than a list of certifications on a resume.
For PMs struggling to get AI experience at their current job, building a ChatGPT app serves as a powerful portfolio project. The end-to-end process—from prompting an idea to running evals—simulates the full AI product development lifecycle, demonstrating valuable, hands-on skills to potential employers.
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.
To break into AI PM, don't just complete projects. Build a product that solves a real pain point, launch it, and get actual users. This forces you to handle real-world issues, generating richer, more credible experience to discuss in interviews.
When hiring for Zenly and Amo, the team prioritized a candidate's side projects over their experience at Meta or Apple. Side projects are the strongest signal of curiosity, ambition, and an entrepreneurial mindset—acting as a "Trojan horse" for getting noticed by top companies.
Lovable evaluates side projects with the same weight as professional work. A fanatical, well-crafted side project can demonstrate a candidate's ceiling for hard skills and intrinsic motivation more effectively than their day job, making them a top candidate regardless of their formal work history.