AMA: Salesforce Director, Product Management (MuleSoft), Tanu Mutreja on AI Product Management

Technically, the biggest hurdle in shipping agentic AI today is quality. Most agents work well for narrow or simple tasks, but they struggle to reliably solve complex, en...

As AI agents become more capable, the real question is where autonomy should stop and human judgment should begin. In practice, the guiding principle is straightforward: ...

For testing and validating the AI components of our product, we use a multi-layered strategy that combines rigorous pre-deployment evaluation with continuous post-deploym...

A few companies are doing agentic AI particularly well. They are building agents that may not be the most autonomous, but are genuinely helpful, observable, constrained, ...

I like to think about AI roadmaps and investments through two lenses:How AI powers our business i.e. using AI for efficiency, automation, and enhancing existing products....

In an AI-powered marketing landscape, the best product marketers will combine prompting, rapid prototyping, real-time feedback and sentiment analysis, cost awareness, and...

Yes—100%. At this point, almost all roles clearly see AI as a major productivity multiplier, not just a feature layer or an experimental bet. The conversation has shifted...