AI B2B Product Specialist vs AI B2C Product Specialist

B AI B2C Product Specialist Only

• AI product strategy - framing consumer problems as solvable with LLMs, RAG, or ML pipelines
• Prompt engineering and prompt chaining for production consumer applications
• User research methodologies adapted for AI-first experiences (trust, explainability, error handling)
• Product analytics and experimentation - A/B testing AI features, defining AI-specific KPIs
• Technical fluency with LLM APIs, embeddings, vector databases, and fine-tuning workflows
• AI safety, content moderation, and responsible AI product design for mass consumers
• Data-driven prioritization using RICE/ICE frameworks applied to AI feature backlogs
• Cross-functional collaboration - translating between ML engineers, designers, and business stakeholders