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Landing cutting-edge product roles requires proving capability rather than submitting static resumes to job boards. Job seekers should research target mid-sized companies, identify friction, and build an end-to-end prototype simulating their first six months. Sending these tangible assets directly to executive decision-makers turns cold outreach into collaborative product discussions.
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Instead of just sending a resume, prove your value upfront by delivering something tangible and useful. This could be a report on a website bug, an analysis of API documentation, or a suggested performance improvement. This 'helping' act immediately shifts the dynamic from applicant to proactive contributor.
New AI tools often have flawed user experiences. Instead of just getting frustrated, create a detailed product breakdown with recommendations for improvement. Sending this to the company serves as a powerful "warm intro," showcasing your product skills and providing value before you're hired.
Sending a resume is now an outdated and ineffective way to get noticed by AI startups.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.
Frame your job search as a multi-month enterprise sales cycle. Your goal is to run a discovery process, identify deep organizational pain, build champions across departments, and present yourself as the only viable solution.
Because AI tools allow anyone to code, Lopitaux filters associate product manager candidates by asking for their GitHub repository and an explanatory video. This demonstrates their technical fluency, hands-on ability to build, communication and pitching skills, and deep grasp of customer pain points rather than relying on abstract resume credentials.
Instead of waiting for a job opening, identify an organization's next strategic move—like going online—and present yourself as the person to lead that journey, effectively inventing your position.
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.
For domain experts transitioning into product, the most effective way to prove capability is to build and launch a product. This "collateral" shows you can identify a problem, build a solution, and attract users, which is more powerful than any resume.
Instead of sending a resume into a pile of 200 applicants, identify a specific problem an organization has and offer to solve it pro bono. Providing value upfront—like fixing a design flaw or improving a process—demonstrates competence and commitment, often bypassing the formal hiring process and leading directly to employment.
With automated applicant tracking systems swiftly auto-rejecting resumes and companies posting ghost listings, traditional job applications fail. Prospective hires must break through gatekeepers by proactively building demonstrable assets—such as managing personal accounts that drive real results or creating unpaid spec work—proving direct competence and mid-level autonomy before an interview ever occurs.
