The AI Product Manager track covers AI product strategy, LLM product design, evaluation frameworks, responsible AI considerations, and cross-functional communication with AI engineering teams. Sessions probe both product and AI-specific depth.
The AI PM track covers AI product strategy, LLM product specification and evaluation, responsible AI principles and safety trade-offs, working with model and engineering teams, metric selection for AI outputs, and behavioral questions on shipping AI products under uncertainty.
The AI PM track includes AI-specific depth: LLM evaluation, prompt management, model reliability trade-offs, and responsible AI governance. The standard PM track covers core product management without AI-specific specialization. Both are available as separate tracks.
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