Diego Granados

I'm a Product Manager with experience working cross-functionally with business roles (e.g. Marketing, Finance, Sales), technical roles (e.g. Backend and front-end engineers, data scientists) as well as designers and UX researchers to bring products to life that make our users' problems and pain-points go away!

I have experience working with Web and Mobile products, AI and Machine Learning - There's something really fascinating about using data to try and predict the future. I'm a big believer that every model should be thoroughly thought from an AI Ethics point of view.

As a product manager I have to wear different hats every day and I excel at working cross-functionally. My experience and feedback has taught me that I bring value to the teams I work with because:

- I empathize with users and speak: geek, data whisperer, designer, marketer and salesperson. At some point I also tried to learn Shriiwook (I've always wanted to understand Chewbacca like Han did). Understanding means fewer mistakes, and mistakes can be very costly.

- I'm passionate about understanding customers, too many people use "customer obsession" as buzzwords in their resume.

- I leave the BIG ideas to the Elon Musks of the world. A good Strategy, Vision and Execution drives products forward - I do these three.

- I'm an engineer at heart and a musician at soul - I like to combine logic with creativity

- I'm the calm one. I'm the one that plans.

I'm passionate about helping others and I created a YouTube channel to help others learn about Product Management: https://www.youtube.com/c/PMDiegoGranados/

Don't hesitate to reach out if you want to talk about AI/ML, technology, business, consumer electronics/technology or need help on your journey to become a Product Manager!

Specialties: Product Management, Consumer electronics, Consumer Technology, Cross-functional work, Agile development, Product design, data driven decisions, AI, Machine Learning.

Product Manager AI&ML

Marily Nika, Ph.D

-AI Builder certifying AI Product Managers via my AI Product Bootcamp trainings (public/private cohorts)
-FREE AI Tools for PMs email course: www.aiproduct.com
-Follow me for educational content on AI products

Based in Silicon Valley, Dr. Marily Nika is an award-winning AI Product Management leader, builder, and one of the world's best AI educators, with 12+ years of experience in big tech (Google & Meta) & PhD in CS. Marily has created the best AI Product Course on Maven and the #1 AI Product Bootcamp (https://maven.com/marily-nika/ai-pm-bootcamp). She writes at http://marily.substack.com.

Courses: https://maven.com/marily-nika/ai-pm-bootcamp
Twitter: www.twitter.com/marilynika 
YouTube channel: https://www.youtube.com/marilynikapm
Enquiries / Private Trainings: hello@aiproduct.com

Founder

I launched the first cohort-based AI Product Bootcamp (including Maven's best AI Product Course), with over 800+ students to date. Check out my courses here: https://maven.com/marily-nika.

One of my favorite ways to understand where AI is going is to explore APIs (before the tooling around them exists).

APIs tend to reveal the shift earlier than the products built on top of them. This week I spent some time playing with the You.com Research API.

This API was interesting, it ran multiple searches, read sources, cross-referenced them, and produced a structured answer with citations. I also controlled the “effort” level — from lighter exploration to deeper analysis.
It also expanded the question and in some cases it pulled in angles I probably would have discovered eventually but only after opening a lot of tabs.

Here’s the process I usually follow when exploring new APIs:

1. Start with a messy question.
Not something factual you could look up. 

2. Run the same question multiple times.
Change the depth or parameters and see how the system explores the space differently.

3. Ignore the summary at first & look at the sources.
The interesting signal is often in the references it pulls together.

4. Ask if this could this become part of my workflow.
That’s where things get interesting. Search itself is slowly evolving from retrieval toward reasoning infrastructure — systems that help synthesize information rather than just point to it.

If you’re building AI products, check it out: https://lnkd.in/giJMCsTd

Team is also also hosting a workshop where people are sharing experiments with APIs, agents, and these kinds of workflows if you’re curious to explore this space with other builders:

https://luma.com/i897qa7h

Open article: Deep Research Speedrun: Ship a Cited Research Agent in Minutes (You.com Research API) · Zoom · Luma by luma.com

Deep Research Speedrun: Ship a Cited Research Agent in Minutes (You.com Research API) · Zoom · Luma

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