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How a Software Engineering Career Started the Journey to Fintech Product Management

Product Management Unpacked

Here’s what strategic partner PayPal did to bring scaled product management to life for this startup-oriented software engineer. It turns out that PayPal, which is focused on democratizing access to financial services, serves as a strategic partner to the MSPM program, providing training, internships, and job opportunities.

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Guide to the Software Engineer Career Path

PMLesson's Ace the PM Interview

Trying to better understand the software engineer career path? Want to know what your next steps are as an engineer as you make your way to CTO? An engineering career can go in many different directions depending on your technical skill set and what you want out of a job. We've got your covered.

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Learn Software Engineering Levels to Advance Your Career

PMLesson's Ace the PM Interview

Software engineering levels are the road map that gets you to your career destination. Even so, the main benefit for you is that software engineering levels create a clear ladder of progression, and understanding the responsibilities and expectations for each level will help you to climb that ladder.

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It’s Product Management; not Software Engineering…

The Product Coalition

This may be particularly amplified for those who find themselves in Product roles at companies that still operate in the more traditional ‘Business Analyst/Software Engineer’ paradigm, where ‘requirements’ are cold-bloodily handed from one business unit to another. It’s what they are trained to achieve.

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Digital Sustainability: A Growing Frontier in Software Development

The Product Coalition

That’s why these skills can prove to be useful when consulting with software engineers and other specialists in deciding which languages to use when energy efficiency is a priority. User Experience and Functionality: Choose user-friendly software with scalability and advanced analytical and visualization tools.

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Pros and Cons of AI in Software Delivery

Split

But, here’s the thing: Nobody knows what its potential may be—including software engineers! Using AI—today—in software delivery offers various benefits and drawbacks. The Cons Ethical Concerns and Bias : AI algorithms are trained on historical data, which can introduce biases and perpetuate existing inequalities.

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You are a builder. Can AI replace you?

Mixpanel

Even though most of today’s most prominent AI models aren’t being trained continuously from new foundational data, they do “learn” or adapt to new context that comes in from user prompts. So it’s less expensive and faster than training these models on new foundational data.

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