What's your framework to prioritizing needs/deliverables when you're the first Product Manager at a company establishing the function?
First PM in a company! I have not done it, nor have anyone in close network to have a good understanding. My guess is that they have to establish right roles/responsibilities on what to carve out from the CEO. Perhaps focused on scaling up product for next million users (or take on next set of en...more
Trust & Risk is a specific domain, so generalist PM would need to pivot to become a domain PM. This will require launching solutions across multiple years. Fraud evolves every year, but over 90% still remains the same decade long type. Payment Risk is a good stepping stone. Balacing security with...more
Being a good PM helps becoming a good manager of PMs, but is not a sufficient condition. I have seen below 3 as top challenges/opportunities unique to GPMs: 1. Deligating, and trusting your direct report PMs to care about Customers as much as you do, if not more. 2. Providing saftey net fo...more
What metrics do ML product teams look at to define success? Which do you find to be the most important?
In addition to core business metrics that are improtant for a product success, below are the additional ones AI PMs obsess over to ensure the success upon launch doesn't regress over time. 1. Precision and Recall 2. False Positive 3. Model quality monitoring metrics based on where is the risk...more
Hard to notice that Product Management interviews require a ton of practice! Any resources for budding/ aspiring Product Managers ? Alternatively, any platforms that you are aware of, where folks can get Prod Mgmt experience by enrolling in projects?
Product School, Try Exponent, and Product Allinace are good resources for PM interviews prep. Later is a good question. Interesting idea. I don't know of any, but it so interesting that someone should be offering it. Perhaps they might have rolled into certification or cohort courses with liv...more
What are the different types of AI Product Managers. Are we going to see a role that's similar to a Technical Product Manager focused towards the data science team?
PMs are generally categorised into B2C (Consumer), B2B (Enterprise), Platform, and Product. PMs role is generally 2 of these 4 things. Within this one can also be generalist PM vs domain PM vs growth PM vs scale PM etc. AI PM is the same. One additional categorey can be about building ML Ops plat...more
5 years from now, likely there is going to be no difference between a Traditional PM and AI PM. AI is going to be used/present in all products. I see "Traditional PM role" as a foundational one to have, upon which one can grow to become a good AI PM. Good Traditional PM with aptitude for tech and...more
Top 3 traits that makes a Good PM a Good AI PM: 1. Understand foundational ML tech concepts and having used them to make product decisions. For eg: Statistical Regression, Causation vs Corelation, AUC, P/R, Features vs Labels, Feature distribution, Model Training, Model drift and au...more