Alright folks, another week, another great AMA here at The Product Folks! For those who missed it, and those who wish to have a quick recap, we have compiled the learnings from the AMA into this blog post.
(PS: We hold AMAs with some top Product people every week on our Slack channels, do check it out!)
This week, we were very excited to welcome Amol Walvekar, who works as a PM WePay in the Bay Area. Along with that, he has been actively investing and advising a lot of start-ups in Bengaluru.
Amol is very familiar with both the Indian and the US PM ecosystem, and here are some of the key insights he shared in the AMA:
Most of the questions posed to Amol were geared towards the same, age-old question – how does one actually move into a product role?
Amol was asked this question by people on very different ends of the spectrum – a senior professional with 9 years of SaaS experience, and a college fresher. For both groups, Amol had the same pointers:
Some of the other questions that Amol tackled were from people who had just started out in a Product role. They were curious as to how they could maximize their learning and growth in the starting few months.
Here is what Amol had to say for this:
Amol has been working as a PM for a couple of years in San Francisco. Amol has a great exposure to what cutting-edge PM roles entail.
And sure enough, he shared his experiences and learnings as a few existing PMs asked him some great questions:
Late-stage PMs on the other hands, have already achieved PMF. Their roles and duties are much more structured, much more monotonous, and sometimes, the process spoils the product itself! On the other side, there is PMF, so the risk in a late-stage PM role is quite low, Amol adds.
Amol also addressed the implosion in demand for PM roles in India. He believes that this is the direct result of incredible rise in number of Product companies in India. And all these companies require logical thinkers and problem solvers to ship and shape their product!
ChatGPT is one of the hottest topics of discussion currently, and rightly so. The OpenAI-developed Generative AI program sits on top of the GPT 3.5 and GPT 4 LLM models to provide a human-like interaction experience with all the smartness of machines.
It is a busy Tuesday afternoon, and you have three back-to-back meetings (2 of them could've been emails, but what can you do, right?). You return to your desk 2 hours later to find each slack channel filled with 150+ messages. What's your first reaction?
Hello hello! Howdy? Where did January go? Well, tell us if you get to know :) As we step into February, we decided to focus on an aspect of life arguably as indispensable as food or water. No, not exercise. Apps. Do you think we're exaggerating? Maybe... but technology products have become so intertwined with life.