Marily Nika, Ph.D
GenAI Product Lead at Google | Founder, AI Product Academy | Harvard Business School Fellow
“AI Product Evangelist-in-Chief”
Marily Nika, Ph.D's AI skills, scored on evidence
Nine AI capabilities, each rated 0–10 from public professional signals with the reason behind the rating.
You teach AI PM bootcamps and write a 200k-subscriber Substack on AI — daily AI-native thinking is your product.
As GenAI Product Lead and AI educator, you certainly design reusable prompt workflows and teach others to do the same.
No evidence you ship prototypes yourself; your PhD and PM role suggest you could, but it's not your lane.
ML PhD background implies API familiarity, but your public work focuses on product strategy, not hands-on integration.
GenAI Product Lead at Google likely involves agentic product thinking; your course may cover orchestration concepts.
You literally wrote the O'Reilly book on building AI products and lead GenAI product at Google — defining the field.
PhD in ML from Imperial implies past hands-on work, but no current evidence of fine-tuning or custom models.
No evidence of LLMOps, vector DBs, or GPU optimization — squarely outside your product leadership track.
PhD in ML from Imperial College London and TED AI speaking signal genuine research depth, even if not your current focus.
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