AMA: Salesforce Senior Director of Product Management, Manjeet Singh on Product Development Process

In fast-moving AI product work, scope changes are normal. My governance balances speed and control so we can iterate without chaos. Here is my scope change formulaTriage ...

AI and ML features add uncertainty because model behavior and data quality change faster than traditional software. For example, companies like OpenAI/DeepSeek are refres...

Traditional long PRDs quickly get outdated and don’t capture how AI features evolve through fast prototyping and iteration. Teams need a live, connected source of truth a...

In AI projects, I estimate both effort and uncertainty separately to avoid surprises. Effort covers build time, while uncertainty reflects data quality, model readiness, ...

After launch, teams often move on too quickly and miss the chance to learn what actually worked, what didn’t, and why. A good launch is not the finish line, it’s a feedba...

We run a 2 weeks dev sprint and release cycle. Staretgic alignment is done using OKR based framework. We call it V2MOM (Vision, Values, Methods, Obstacles, and Measures)....

My end-to-end product developement process has been evolving with this flow:1. AI driven customer research and problem discovery2. Prioritize the first 1-2 use cases and ...

AI projects often have hidden complexity: data pipelines, model behavior, evaluation methods, and product UX layers. So i think PM should spend more time in thinking abou...