Product Management
AI/ML
You'll architect products that think, not just respond—building recommendation engines, predictive features, and intelligent workflows. This path creates CPOs who speak both business strategy and algorithmic reality.
Career Progression
Rotational Tours · L1–L3
Build the craft. Prove you can wield the tools of Product Management.
Transformational Tours · L4–L7
Deliver outcomes. Each tour has a defined mission and success criteria.
Foundational Tours · L8–L10
Shape the organization. Build institutions, not just products.
What Hiring Managers Look For
L1-L3: Candidates who can translate raw user feedback into ML feature requirements and explain model performance metrics in business terms.
L4-L6: Leaders who've shipped ML products that demonstrably moved core business metrics and can architect data collection strategies from product inception.
L7+: Executives who've built ML-native product organizations and can articulate how AI capabilities create defensible competitive moats.
Common Career Transitions
AI/ML PM → Data Science leadership at L5-L6 for hands-on model ownership
AI/ML PM → AI startup Chief Product Officer at L6-L7 for end-to-end product control