The 4 Must-Have Skill Sets for an ML/AI Product Manager

The four most important skill sets for an ML/AI product manager are product strategy, product delivery, influencing, and tech fluency. These cover understanding users, delivering solutions efficiently, aligning stakeholders, and leveraging a technical background.

Product strategy involves identifying the right problems, qualitative and quantitative validation, and impact-driven prioritization. Resources like "Inspired" and Teresa Torres' work can help.

Product delivery focuses on iteratively delivering value through agile methodology, MVPs, and continuously measuring impact. Resources like agile crash courses and project management tools help.

Influencing revolves around communication, storytelling, stakeholder management, and guiding the team. Books like "Storytelling with Data" and “EMPOWERED” provide guidance.

Tech fluency builds on a DS/ML background and expands into responsible AI, data skills, MLOps, and back end engineering. Online courses help fill knowledge gaps.

Finally, sharing career plans, finding mentors within a company, and practicing PM interview questions ease the transition.