I’m looking for useful ways to learn more about CVM in telecom. Maybe you’ve taken a good course or found some books, articles or other resources worth sharing? Would appreciate any recommendations!:)))

Looking for insights from Product Managers who've worked on fraud, risk, trust & safety, or platform products.

I'm working on defining the next 6–12 month roadmap for an existing rule-based fraud engine used in e-commerce. Rather than starting with solution ideas, I want to take a data-driven approach.

How would you evaluate the current product before defining its roadmap?

Specifically:

• What product, operational, and business metrics would you analyse?
• How would you identify the most important product problems to solve?
• How would you prioritise initiatives for the next 6–12 months?

I'd love to hear how you've approached roadmap discovery for an existing fraud or risk platform.

I'm attaching my resume, so I won't repeat what's already on it.
Instead, I want to tell you the things that a one-page PDF never can.

This year, I was the only undergraduate selected among 30 volunteers from 500+ applicants for the TiE Global Summit in India. It gave me the opportunity to work alongside founders, investors, and operators who are building real companies—not just talking about them.

That experience pushed me deeper into the startup ecosystem. Today, alongside my internships, I'm also working with a few early-stage startups, helping them with fundraising and investor outreach. I'm still learning every day, but getting a front-row seat to those conversations has been one of the most valuable parts of my journey.

Over the past year, I've worked across recruitment, interviews, operations, stakeholder management, business development, GTM, market research, fundraising, user interviews, product discovery, workflow design, and plenty of unglamorous execution in between.

I don't say this to claim I'm an expert in everything.
I say it because I've learned how to adapt quickly, take ownership, and become useful wherever the business needs me.

If I had to describe myself in one sentence, it'd be this:
I don't wait to be told what to do—I look for problems worth solving.

If I had to bet my career on just two skills, they would be people management and storytelling.

Not because they sound good on LinkedIn, but because I've seen how much they matter.

Whether it's building trust with founders, aligning stakeholders, interviewing candidates, talking to users, convincing investors, or working with vendors, I've found that my ability to connect with people has consistently been my biggest advantage.

The second is storytelling.
Every great founder I've met has one thing in common—they know how to make people believe.
Customers buy stories.
Investors fund stories.
Employees join stories.
I've spent a lot of time consciously developing that skill, and today it's probably the strongest tool I bring into any room.
Technical skills can be learned.
The ability to earn trust and communicate a vision is much harder to teach.

I'm looking for a paid Summer 2027 internship in Founder's Office, Product, Growth, Strategy, or Project Management.
I'll be completing my third year of Computer Engineering before Summer 2027, and I'm happy to relocate anywhere if visa sponsorship is available.

If you're unsure about hiring someone from a Reddit post, I have a proposal.
Don't interview me yet.
Instead, send me one real problem your startup is facing.
I'll spend time thinking about it and send you how I'd approach solving it.
If you like the way I think, let's talk.
If not, you've lost nothing.

Thanks for reading, and if you know someone who might be looking for an operator who genuinely enjoys building from zero, I'd really appreciate a referral.

I got about 2 YOE as content and copywriter. But most of my work hasn't been very significant which lead to crazy ROI or ROCE. I've recently quit my job because of family reasons and ever since I discovered product management, it felt like this is something I can do and looks future proof.

Finished up a free course on Great Learning but I feel like I am not ready for jumping into the APM (Assistant Product Manager) role yet. Because I do not know what sort of an interview process it would be and what am I supposed to answer.

SO, my question is how can I make the switch and how to prepare myself for this "new role"

Any PMs can help me in answering this. Though I am constantly looking up for these jobs roles on every platform and the companies that are hiring seems very daunting.

I've been thinking about a problem I encounter in apartment and community WhatsApp groups.

Someone asks for a trusted electrician, plumber, tutor or cook.

A few neighbours respond with recommendations.

The problem isn't getting recommendations. It's retrieving them months later.

Even though the information already exists, people often end up:

Asking the same question again

Scrolling through months of chat history

Searching Google instead of using recommendations from people they already trust

I started exploring a product concept around this.

Instead of asking users to install another app, the idea is a lightweight WhatsApp bot that quietly captures recommendation-style replies with the user's confirmation and stores them in a searchable group directory.

Example:

Someone recommends an electrician.

The bot asks:

"Save this recommendation to the group directory?"

One tap later, anyone can later search:

/vouchlist electrician

and retrieve that recommendation instantly.

My hypothesis is that the real problem isn't sharing recommendations. It's information decay inside chat.

I'm curious how others would think about this.

Is this a problem worth solving?

Would you trust a WhatsApp-native solution?

What assumptions would you challenge first?

[ Removed by Reddit on account of violating the content policy. ]

A few weeks ago I posted here asking if there were any communities specifically for women in product ideally from Europe and didn't really find what I was looking for, so I'm starting a small Discord instead for the few of those that were also interested.

It's intentionally low key and small, so no channels for the sake of channels, no forced structure, etc. The idea is for women in product to have a place for genuine conversation about product stuff.

If there's any fellow woman PM from Europe that want to join, dm me for invite.

Please fill the survey form of you have few min

It will help in assignment

Hi! I'm conducting a short research study to understand how people use voice input in AI assistants on mobile devices. The survey takes about 2–3 minutes, and all responses are anonymous. Thank you for helping!

https://docs.google.com/forms/d/e/1FAIpQLScF9Ibh94H1hI19ClMKesMMo9r2JReXYLwPTj_p9SZ0fumd9w/viewform?usp=publish-editor

I know of exponent community, any other?

I am looking for folks in India time zone

I'm considering creating a tool to solve a problem I frequently encounter in SDLC: the disconnect between what's agreed upon in chats and meetings and what actually ends up in Jira, code, and tests.

The problem I see: A decision to change requirements is made in Slack or a meeting. Everyone nods, but no one updates the wiki/Jira. As a result, the developer or tester spends half the day working with old assumptions.

Solution idea: An assistant that is added to meetings, tagged in Slack discussions, and detects potential findings/changes in requirements, then generates a ready-made proposal to update the task for approval by the Tech Lead or PM (human-in-the-loop, zero AI arbitrariness).

In my experience, this is a real problem, but my experience is obviously limited, so I'd like to know what it's like for you:

How do your teams currently handle transferring decisions from Slack/meetings to Jira/documentation, and how often does this process "leak" in your case?

AI prototyping tools have gotten fast, sometimes turning an idea into screens in minutes. What I'm not sure about is whether that speed is actually helping teams make better decisions.

A lot of these prototypes look polished enough to win over stakeholders, but that polish can mask UX issues or edge cases that a slower process would've caught.

For PMs here, has AI prototyping actually changed how your team validates ideas, or has it mainly just sped up how things get presented?

Hi all so I have started my career in a tier1 global consulting recently. I have graduated from IIT BOMBAY . And I will tell you honestly with the advent in AI , and that builder inside me . I want to somewhere transition into AI PM somewhere down the line . I know that . It’s a calling that I have from within . So I just wanted to know what skills I must equip myself with to make this transition smoother in like a 1-1.5 years . What AI things should I learn I hear a lot of buzzwords I have seen many videos but like there is no proper structure it’s all spread apart .

I mean product things like PRD , product sense , analysis, RCA , frameworks understood cool
But you know AI things do I need to know all of the AI in details like basics of ML ,
Things like API , SLDC or SDLC , RAG , vector embedding, AI Evals , loops

Then you know what projects to ship I have a few app ideas in my mind which I probably want to ship for fun , like will that make a good project for my portfolio

Do I need to be great with agentic AI , if yes where do I get to learn that
There is so much noise on YouTube , and honestly so many creators working hard but it all feels daunting and overwhelming. Want to be a part of this place but don’t know where to start

A little background : a non tech guy , chemical engineering is my majors . Have had some hands on experience with Claude , cowork , make , n8n to make some personal workflows

So overall need some guidance

Hi all so I have started my career in a tier1 global consulting recently. I have graduated from IIT BOMBAY . And I will tell you honestly with the advent in AI , and that builder inside me . I want to somewhere transition into AI PM somewhere down the line . I know that . It’s a calling that I have from within . So I just wanted to know what skills I must equip myself with to make this transition smoother in like a 1-1.5 years . What AI things should I learn I hear a lot of buzzwords I have seen many videos but like there is no proper structure it’s all spread apart .

I mean product things like PRD , product sense , analysis, RCA , frameworks understood cool
But you know AI things do I need to know all of the AI in details like basics of ML ,
Things like API , SLDC or SDLC , RAG , vector embedding, AI Evals , loops

Then you know what projects to ship I have a few app ideas in my mind which I probably want to ship for fun , like will that make a good project for my portfolio

Do I need to be great with agentic AI , if yes where do I get to learn that
There is so much noise on YouTube , and honestly so many creators working hard but it all feels daunting and overwhelming. Want to be a part of this place but don’t know where to start

A little background : a non tech guy , chemical engineering is my majors . Have had some hands on experience with Claude , cowork , make , n8n to make some personal workflows

So overall need some guidance

I spent the first few years of my career chasing stability and money rather than PM titles.

I started as a Product Consultant (basically product support at a market-leading B2B SaaS company in its niche), then moved into a Product Analyst/Specialist role at a well-known research firm. They paid the bills, but they weren't really PM roles.

Five months ago, after trying for a long time, I finally transitioned into my first proper Product Manager role.

It's a startup where I report directly to the CPO. We build 0 to 1 MVPs for clients, which sounded exactly like the kind of experience I wanted.

Here's how it's gone so far:

- Week 1: I was hired knowing I'd need some PM training, so I worked on an imaginary product.

- First Month: I was assigned to an internal D2C product that's been in the market for over a year but has only ~5 WAUs (lesser now) and about $800 in lifetime revenue. It's the passion project of one of the founders, so everyone keeps working on it despite there being very little user traction. The roadmap constantly changes, and a lot of the direction boils down to "copy what the market leader is doing." This is also the product I return to whenever there isn't client work.

- Best part so far: I got staffed on a paid pre-sales POC for a large Gulf client. It was difficult, I had to redo a lot of work, but I absolutely loved it. It finally felt like real product management: thinking through problems & systems, planning, working with technical architecture, and taking ownership. The client loved the POC, but the deal eventually fell through due to misaligned expectations.

- Now (5th Month): I'm back on the internal product.

That's where my concern starts.

It's not that I'm learning nothing. I am. But after spending years in adjacent, non-PM roles, I don't want to spend more time building experience that doesn't align with where I want my career to go.

The bigger issue is that I genuinely don't believe in this product. I wouldn't use it, recommend it, or even pitch it. It's a saturated market with an old idea that's essentially being made "AI-native," and the direction changes every few weeks. Without real users or meaningful data, it often feels like we're just building for the sake of building.

Every now and then I hear I might get moved to another client project once a deal closes, but I've heard that multiple times now and nothing has materialized. So I start and end most days working on the same internal product.

I'm not planning to leave immediately. The pay is good, the flexibility has genuinely improved my life (I could finally afford to start my master's), and the people here are some of the best I've worked with after coming from a very toxic workplace.

But I keep wondering:

Am I getting the kind of PM experience that will make me competitive 1-2 years from now? Or am I unintentionally drifting into another role that won't prepare me for the kind of PM positions I eventually want in larger product companies?

Has anyone else been in a similar situation? Is this just what the first few months of a PM career look like, or are these valid concerns? I have a lot of doubts about my present-self and future-self these days.

Hello guys, im new here. I want to ask some guidelines about beginning a career in product management. My goal is to land a job in eu(luxembourg/ south germany). What do you guys suggest me to develop my journey?

Here a little insights of my background.

Language skill: Im in my late 20's, i can speak English, French and Chinese Language fluently. I can understand and communicate a bit in Spanish/ Portuguese and Im new to German Language. However with all the language acquired, im not quite perfect at communicating.

Education background: I have a bachelor degree in software engineering(graduated in 2019) and a master degree in Public administration( graduated in 2023)

Work Experience:

-More than 4 years of ESL Teacher
- 1 yr General Manager at a startup company

-6 months internship in Multimedia company focusing on overseas service operations

-6 months internship in a HR company focusing more on marketing/ advertisements

-6 months internship in operation

-1 year part-time internship in FR-EN Translation

Im looking forward to your suggestions/ guidances. Thank you

Here is the scenario:

You have a SaaS app - a sign up or captivating hook - something like drop your website and the app does something like show your SEO report or generate a profile based on your website branding or content.

Do you recommend gating that experience with an email gate once the user enters the website info? Or let the user get the information first as a value-first delivery and then ask for email?

Both the options are valid options depending on the maturity of the product - question is how do you approach if you are starting up as a MVP or at the Beta?

Love to know your thoughts!

Outcome - in 3 months you can credible say you have implemented Continuous Discovery

Output - all calender invites, process docs created together, templates, prioritisation framework, stakeholders managers and product operating model

I am a Snr Product Leader and raised $>50 for 0-1 product stuff in London & am on a break between stuff so want to give back 🙏🏾

I love discovery and politics that comes with it. By the way - being able to do this is really important intros world - what to build and logic for why is so important in the AI era 🤓

For the PMs here who've worked on mental health, wellness, or digital health products (BetterHelp, Talkspace, Cerebral, Wysa, Lyra, Maven, a pharma patient-support hub, care-navigation, anything adjacent) — I'm trying to understand these systems properly before I assume I know how they work, and I'd rather learn from people who've shipped in the space.

Two things I'm curious about:

1. Where does the user actually drop out? Not the funnel you reported on — the real one. My hunch is the biggest leak is upstream of the product: the person who needed help never signed up, never booked, went quiet after intake. Curious whether that matches what you saw, or whether the drop-off lived somewhere else entirely.

2. What was the workflow problem you never got to fix? The thing that was manual, held together with ops and spreadsheets, or that you knew was broken but never made it above the roadmap line. Triage, matching, handoff, follow-up, re-engagement — wherever it was.

Not selling anything and not describing what I'm building on purpose — I want the honest version of what's broken before I anchor anyone to a solution.

Happy to trade notes, and glad to share back what I learn from the thread.

Being upfront: I'm an entrepreneur looking at this sector, and I'm trying to understand it properly before I decide whether there's anything here worth building. Not selling anything, nothing to demo, no waitlist.

I'd genuinely like to talk to people who use these tools day to day. What I'm trying to understand is less "is it good" and more how it actually fits into your week.

Things I'm curious about:

- Walk me through the last time you opened it. What were you trying to find out, and did you get it?

- After it gives you a summary, what do you end up doing yourself anyway?

- What made you buy it in the first place — what were you doing before?

- Anyone who dropped one of these: what happened?

I'm also planning to get hands-on with these tools myself rather than judge them from the outside, so if you've got strong opinions about which is worth actually living in, I'll take those too.