Aman Khan

Aman Khan, Director of Product at Arize AI, previously worked at giants like Spotify and Apple. He dives into what it truly means to be an AI product manager and shares insights on breaking into this competitive field. The conversation highlights key traits of top AI PMs, along with common pitfalls in AI product development. Aman emphasizes the value of energy, curiosity, and the need for continuous learning. He also reflects on personal experiences that shaped his career and discusses the importance of user agency in AI products.

Aman Khan, Director of Product at Arize AI, discusses essential AI evaluation skills for product managers. He emphasizes the necessity of empathy in understanding user needs and the importance of curiosity in product development. Aman outlines five critical skills to cultivate now, explaining how anyone can engage with AI, regardless of their title. He highlights the value of performance evaluations in customer support AI, advocating for the synergy of human oversight and data. The conversation wraps up with a call to embrace the AI revolution.

Aman Khan, an AI PM since 2019 with experience at Cruise, Spotify, and Arize, shares valuable insights on emerging skills for product managers in AI. He discusses the importance of AI prototyping and observability, emphasizing collaboration between PMs and engineers. The conversation covers techniques like prompt engineering versus fine-tuning and the role of multimodal agents in project management. Additionally, Aman highlights the need for iterative evaluation and the evolving standards in AI product development, making it clear that anyone can leverage these skills.

In this engaging discussion, Aman Khan, Head of Product at Arize AI, brings his wealth of experience from Spotify and Apple to the forefront. He delves into the challenges of integrating AI features into products, emphasizing the critical need for structured evaluations rather than relying on intuition. The conversation covers real-world examples of defining goals for AI products, the importance of collaborative evaluation among teams, and the hidden costs of AI development. Aman's insights reveal how to instill quality and reliability within fast-paced development environments.

ML Solutions Architect Dat Ngo and Product Manager Aman Khan discuss the new models Gemini and Mixtral-8x7B. They cover the background and context of Mixtral, its performance compared to Llama and GPT3.5, and its optimized fine-tuning. Part II will explore Gemini, developed by DeepMind and Google Research.