r/ProductManagement • • 22h ago

This sub is so depressing

83 Upvotes

Post after post I see people moaning about this career path. Honestly as someone that is in their 2nd year as a PM it’s not very encouraging.

Can anyone please say anything positive about product and why you believe it’s still a career worth pursuing?

Don’t bother posting if you’re just going to take the piss. Some people actually want a serious answer. I’ve seen enough reasons why PM is “screwed in 2026”.


r/ProductManagement • • 19h ago

The PM skills I don’t see AI or FDEs replacing anytime soon

26 Upvotes

I see a lot of posts here worried that product management roles are being replaced by AI or FDEs with no PM experience. Based on multiple customer sessions over Teams these past few weeks, I see that there’s still many PM skills they won’t be able to replace anytime soon.

I’m a principal PM building B2B enterprise software. I lead multiple dev teams and spend a lot of time in front of customers, both prospects and existing clients. My current feature helps Fortune 500 companies increase their efficiency at the ground level and it’s saved hundreds of millions of dollars across our clients. The primary users are typically tech-averse, they’ve been doing the job for decades, are highly skilled and knowledgeable, and don’t want a feature to “assist” them and tell them there is a better way to do things. But the metrics are showing there is room for improvement and their manager’s manager’s boss wants them to try my feature to see if it saves them money like we say it does.

Our deployment team handles most rollouts, but the biggest clients bring me in during their recurring pilot meetings for that extra care. And usually, one or more people from the C-suite join and want to know the opinion of their employees before deciding to move forward. When I join, often the pilot users are frustrated and saying things like “It’s not working”, “I just want to do it my way”, “it is taking more time to mess with this than it would be to just do the work”, etc. I ask them to show me what’s happening, and it usually turns out to be one of four things:

  • A process issue - the feature is doing exactly what it should, but they need to prepare their data differently or interact with it differently.
  • Something unrelated - they’re frustrated and they lump in a problem that has nothing to do with my feature as the reason they can’t use it.
  • A valid product issue - often it’s a less common workflow we identified but haven’t addressed yet, or a rule we built for another company’s workflow that’s too restrictive for theirs, and sometimes it is an actual bug. I have to quickly figure out if we can solve it, give them a realistic timeline (a week, two weeks, a month, a quarter, etc), and work with the C-suite rep if they’d rather have this feature prioritized over something another part of their company needs from us.
  • PEBKAC (not that you ever tell them that) - I walk them through how to use the feature and suddenly it works perfectly (“but it didn’t do it like that when I tried it earlier”)

The hard part is figuring out which one each complaint is from a 30-second demo of their screen in Teams, especially without setting anyone off and making it worse. A lot of my meetings start with people frustrated and end with them happy and optimistic, even when nothing actually changed in the product. I do this multiple times a week, and if you don’t handle it accurately and with a light touch, you lose the client. Then you’ve got a great feature nobody wants to use because it has a bad reputation.

My company has floated the idea of putting engineers in Teams meetings with AI transcripts so they can hear customers directly and use AI to write PRDs and eliminate the need for PMs. I love my developers. They’re talented and really good at what they do. But most of them only know the portion of the feature they personally worked on, and my feature crosses a lot of teams. They could help with their piece, but they couldn’t troubleshoot the  end-to-end feature live, and they wouldn’t be able to talk a frustrated user off the ledge. Get most of them talking about their passions and they’ll go for an hour. But put them in front of a frustrated customer who’s been doing their job the same way for 20 years while our product is trying to get them to change that, and it can go sideways fast.

As for having an AI PM, these users are already tech-averse, and having an AI talk to them and transcribe everything would drive them nuts. Nobody who distrusts technology wants to explain their problem to an AI. And AI can’t glance at a workflow and tell whether it’s a bug, a process issue, something unrelated, or user error. Most AI just assumes something’s wrong, placates you, and says it’ll get fixed.

The amount of skill and experience it takes to communicate with a frustrated high-stakes client, troubleshoot things on the fly, offer viable solutions with realistic timelines, and gather the use case information needed to improve the product, all while being friendly, disarming, and not coming off as condescending, that is not something AI or FDEs will be replacing anytime soon.

(On a side note, our company has also started having PMs write Jira tickets and build features with Claude Code to increase output, it seems they are testing the waters to see which role can be replaced first)

 


r/ProductManagement • • 19h ago

Strategy/Business Let's talk about Claude Code as a product

16 Upvotes

CC has been one of the best products I've used in the past few years. I am talking about the harness and TUI, not the Claude models.

They have been shipping meaningful and decent sized updates almost daily for a while (including multiple features a day), and honestly I don't mind that it breaks sometimes. (Rarely)

How do they keep the cycle so short, and release meaningful updates without enshitifying the product? It seems like one of those one person projects with an obsessed maintainer, but it's a big team of people.

The best I've done is ship 2x per week for a few months and it was crunch time, and much effort was not valuable to users.


r/ProductManagement • • 14h ago

Anyone else having AI dissonance between Engineering and Product on PRDs generated by AI for Agentic SDLC

13 Upvotes

Oh my gosh. I can't count how many times there is criticism on PRDs generated from AI. it's almost like folks don't want to trust it unless they wrote it but then don't want to write it because they want AI to write it.


r/ProductManagement • • 18h ago

If/when the AI bubble bursts, where do you think that leaves your products?

4 Upvotes

Many suggest we are in this bubble and it will either make or break things. I’m all for the end of generated slop images/powerpoints/docs but what about agentic AI in products, I’d guess that would stay regardless if it’s delivering value and not a sprinkle of fair dust cos it “needs AI”.

I can’t sleep. Weird thought. Thought I’d post it somewhere.


r/ProductManagement • • 20h ago

Tools & Process AI and Hard Lines Product Development / Management

2 Upvotes

Any hard goods cpg product managers who have found some good resources on leveraging AI in your daily work?


r/ProductManagement • • 22h ago

Strategy/Business How would you approach building a pricing engine?

0 Upvotes

I'm working with a retail business that has around 2,000 SKUs across physical stores and online.

Today, pricing is mostly static, with the same prices and promotions across customers and channels. We're exploring a pricing engine that could eventually support things like customer segmentation, targeted offers, cross sell opportunities and loyalty.

For Pms who have built or worked on pricing systems, where would you start? What would you prioritize before getting into the technical implementation?


r/ProductManagement • • 1h ago

Tools & Process Is it better to connect chatgpt/claude to your product data or use the AI built into your analytics tool?

• Upvotes

I want to use AI for analytics but  idk what the right way looks like. I’ve seen some people connect claude/chatgpt to their product data or instead use the AI that’s built into analytics tool, but which is the better option if the goal is understanding why users aren't using a feature?? I know that some answers can sound really confident and from the outside it's hard to tell if they’re right or made up from messy data.


r/ProductManagement • • 20h ago

If PMs can do their own analysis with AI, does the data team just become infra?

0 Upvotes

I built a prototype for analysis with AI against a local DuckDB file I set up. The tables, views and macros are heavily commented, and there's a simple way for the agent to explore the db a piece at a time, the same way it would look over a big codebase. Duckdb runs efficiently locally and a bad query can never hit a shared resource.

It works so well that I'm wondering about how this changes the analyst role and product. I'm thinking it means something like:

The data team owns and governs the file and stops doing end analysis. Need to be able to trust the lineage and the local instance for accuracy.

Users (product, risk, ops) do their own analysis with AI.

Anything novel someone builds gets submitted like a PR for the data team to review and merge.

The catch is that business context, meaning what a field actually means in the real world, moves out of the data team and into the users. In my fintech world that's product, risk or ops, depending on the slice of data.

In my world I still need to understand 100% of the analysis behind any decision I make. It's why, for me, I don't think it's ok to let a model go from db->deck. I have to be able to walk through the logic start to finish when we're talking about a policy change that shifts millions in a regulated space.

Does this hold up, or am I missing why analysts exist?

What breaks first?

No repo, not selling anything. Just trying to figure out if this is where things are headed and whether I should push to go past my prototype. If you want to know more about what I built specifically, send me a DM.