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Product Management

Hey, I need some suggestions.
Total work experience. 7.5 yr

About myself: I completed my Mechanical Engineering and the worked for ~ 6 yrs with an automotive organization. Then I did my MBA and  joined an IT consulting firm, and right now I'm working as a Product Manager (involves GenAi) since last 1.5 yrs.

I am in a dilemma right now, whether I should continue the product management field or should I go back to manufacturing/ automotive industry.

I like the role that I play as a product manager but since I don't have a CS/IT background I sometimes find it difficult to understand things.

Pls share your suggestions.

Thank You. :)

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_Lessons Learned from 1.3 Years of Remote Work_
1. Separate friendship and professional work to maintain professionalism.
2. Keep career decisions and sensitive information confidential.
3. Avoid procrastination by staying focused on goals and prioritizing tasks.
4. Focus on personal growth, rather than comparing yourself to others.
5. Set clear boundaries and prioritize tasks to maintain productivity.
6. Maintain a polite and friendly demeanor, even in virtual interactions.
7. Use video conferencing tools to stay connected with colleagues.
8. Prioritize integrity by delivering high-quality work.
9. Take ownership of your career by setting goals and seeking feedback.
10. Establish clear expectations with colleagues and managers.
11. Celebrate achievements and recognize progress to stay motivated.
By applying these lessons, I've been able to thrive in a remote work environment.

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I am java backend dev and my current tech stack is Java, spring boot, microservices, restful APIs, mysql, dsa(400+ problems in leetcode) Have knowledge in kafka as well but no hands on experience.

My current CTC is 7Lpa

No frontend or cloud experience. I got the above offer(hyd location,hybrid model). I have already resigned in my company, attended few interviews but failed in all. Should I prepare more rigorously? Or be satisfied it's a good package for my current exp?

TIA

Is the offer 16Lpa +8% variable pay good for 2.5y java developer?

Hello guys,
I've the below offers, (Teamware and Wipro not yet released the offers yet). I'm confused which one to choose. Could you give me some suggestions? Thanks.

TCS : 13 LPA
Teamware Solution: (Client: BNP Paribas) : 15 LPA
Wipro: 16.5 LPA

Tech: Cybersecurity, Vulnerability management, Crowdstrike, Risk Assessment.
YOE: 7 yrs
Location: Chennai

Which company?

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Okay, here’s my confession... 🙈

A few years ago, I needed approval for a reimbursement bill, but I was in a rush and knew my boss wouldn’t be around for a few days. So, I took matters into my own hands and signed my boss’s name on the approval form. 😬

Honestly, at the time, I thought it was no big deal – the paperwork got approved, I got my reimbursement, and it was all smooth sailing. But now, looking back, I realize how immature and risky that was! 🤦‍♂️

I didn’t get caught, but it was a total “what was I thinking?” moment. Anyone else ever pulled off something like this in their career... and got away with it? Or am I the only one who still cringes at this? 😅

#ConfessionTime #CareerMistakes #WorkBlunders

What's the Worst Thing You Did in Your Career... and Got Away With?

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News

DeepSeek claims they trained their AI model for under $6M, but that price tag seems way too low. Here’s why people are skeptical:

# Not Really Open-Source  They released model checkpoints and inference scripts, but the training script is missing. That’s a big red flag.

# Did They Train from Scratch? – Unlike Google, Meta, and OpenAI who spent billions training models from raw data DeepSeek may have borrowed data from O1, tweaking it instead of starting fresh.

# Paying Only Half the Bill?  Another theory? They underreported costs. Maybe their small firm only covered a fraction while their parent company (with 50K+ GPUs!) handled the real expenses.

Ironically, Big Tech trained AI using our data without consent. Now DeepSeek might’ve done the same just using their data instead. A case of “you reap what you sow”? 🤔

http://nauk.in/zyRGN4l6

DeepSeek's "Budget" AI  Innovation or Just a Taste of Their Own Medicine?

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