Today’s products aren’t just tools, they learn, adjust, and get personal – from social media posts to streaming suggestions. Artificial intelligence and machine learning are behind this change, going from a future idea to a key part of how products are made. With this tech comes a big job: making sure these smart systems are not just good but also fair, open, and ethical.
Combining tech and ethics means product leaders need to balance new ideas with doing things the right way.
Managing AI, from data to how it’s used, is where senior product managers like Reuben Nkemjika Obasi come in.
He’s great at making AI-driven products because he knows it’s more than just adding a smart feature. It’s about building a whole system and making sure the result is new and responsible. He turns data models into products that are reliable, useful, and you can trust.
Reuben focuses on adding AI/ML features where they make the most sense. He finds user issues that machine intelligence can solve better than standard programming. Then, he works with data and engineering teams to add these smart systems to the product.
This could mean making a recommendation system or a model that guesses what users want before they even ask. The aim is to make a product that feels natural and made just for each user.
Reuben is skilled at managing the whole AI process, which is different from making regular software. He guides the product from getting data and training models to using and watching it. A key step is turning data models into product-ready features. This means testing them to make sure they work well and building what’s needed to keep them running.
His leadership is all about dealing with ethical concerns, like bias and privacy. AI models learn from huge amounts of data, so they can accidentally use and grow biases, which leads to unfair results. Reuben works to spot and fix these issues by using different kinds of data and doing fairness checks. He also makes sure user data is safe, focusing on privacy and letting users control how their info is used to power the smart features.
LinkedIn shows how Reuben works. For LinkedIn, an AI-driven feed is key to keeping users interested. Without a responsible approach, the feed could create a bubble, only showing users content they already agree with. Also, job suggestions could get biased, only showing opportunities to a certain group of people. Reuben makes sure the AI models for the feed and job matching have rules to encourage diverse content and equal chances for everyone.
Reuben’s work is about more than just making a product smart. It’s about gaining user trust. When AI can seem unclear, his leadership brings the openness and ethical care that turns a product into a trustworthy tool. He proves that a product’s real value is not just what it can do but how much people trust that it’s doing it right.
