I build AI products from zero to one, and I teach others how to do the same.Over 12+ years, I've taken AI/ML products from proof-of-concept to launch at Amazon, Nike, T-Mobile, and Disney. The work I love most is early-stage: validating ideas, getting executive greenlight, and shipping MVPs that prove value before scaling. At Nike, that approach drove a $100M annual reduction in product returns.I also teach what I build. I co-created and lead the AI Product Management Certificate at the University of Washington, where experienced PMs ship real GenAI products complete with evaluation plans and GTM strategies. Previously, I trained 4 cohorts at Product School.What I bring: the ability to translate messy AI capabilities into clear product value, align technical and business stakeholders, and move fast without breaking trust. I write about AI PM craft at aipmguru.substack.com.I'm currently exploring opportunities to lead 0→1 AI product work at companies solving meaningful problems. I'm especially energized by AI in healthcare and education, though I'm open to any domain where the product can genuinely improve lives. 

Shaili Guru

This message made my morning ☀️

A reader just shared that they landed an AI Product Manager role, and mentioned my content helped along the way.

Here's the thing though: I'm glad the content helped, but they put in the work.

The learning. The interviewing. The career pivot. That's all them.

Moments like this remind me why I write. Not to have all the answers, but to make the path a little clearer for folks navigating the transition.

If you're in the middle of your own AI PM journey right now, keep going. It's working.

AI Product Leader | 0→1 Builder & Educator | Ex-Nike, Ex-Amazon, Ex-Disney

My kids got Harry Potter Guess Who for Christmas, and watching them play gave me an idea. What if I built a digital version with our 46 family members? They could learn their relatives the same way they're learning about Hogwarts. I opened Bolt and started building. 34 versions later, I had a working game. But the real lesson wasn't about AI coding tools.

It was seeing PM fundamentals play out in real-time, compressed into one afternoon. Clear requirements prevented wrong interpretations. Defining the data model upfront avoided rewrites to the architecture. Thinking through edge cases early meant fewer fixes later. AI doesn't ask clarifying questions or push back on ambiguity. It just builds exactly what you describe.

Vibe coding is a mirror for PM discipline. It validated what I've learned across teams: clear requirements, defined data models, explicit acceptance criteria. The 4 patterns that made this work 👇

If I were teaching someone about AI product lifecycles for the first time, I'd start with POCs.
Not because they're the first step in a framework diagram.

Because they're where most AI products quietly die.

It reminds me of my research days working with Zebrafish embryos. You don't scale up a staining protocol before you've proven it works on a handful of samples.

Same logic applies to AI.

But here's what most teams get wrong: they run AI POCs like traditional software spikes. Build it, demo it, ship it.

AI doesn't work that way.

Your POC might hit 85% accuracy. Looks great in a demo. But what happens to the 15% that fails? Who handles those cases? What's the cost of being wrong?

These are the questions traditional PMs aren't trained to ask.

In my latest post, I break down:
→ Why POCs are the critical gate (not just another phase)
→ Three types of AI products and how they change what you're validating
→ The question most teams forget to ask before calling a POC "successful."

Link in comments 👇

Building your personal brand is hard. On LinkedIn, off LinkedIn—doesn't matter. It's just hard.

I have been at it for about a year now, and honestly? Still figuring it out.

I'm part of PDMA Seattle's committee, and our next session is with Leslie on how to make LinkedIn work for your PM career.

📅 Jan 14, 12-1 PM PST 🔗 https://luma.com/wno7fylk

Our last session on PM hiring trends had a great turnout, and everyone walked away with something useful. Expecting this one to be just as good.

Come through if you're trying to figure out the brand thing too.

Product Development and Management Association Seattle team - Anna Bigornia Sako Eaton Harmony Crawford Prabina B. Matt Foster Sahit G.  Banu R.

#productmanagement #linkedin #personalbrand

Open article: Stand Out With Your Brand Out. How Product Managers can grow their career using LinkedIn. · Zoom · Luma by luma.com

Stand Out With Your Brand Out. How Product Managers can grow their career using LinkedIn. · Zoom · Luma

Madhumita Mantri

Product Lead@StarTree | Podcast Host | Follow me for 0 to 1 Data AI Product Management | Product Management Coach | Ex-PayPal | LinkedIn | Yahoo | Grace Hopper 2019 Speaker

Mission: Build trustworthy, customer/user-centric Data and AI/GenAI products and platforms that unlock durable growth at global scale.

I'm a Product Lead with over 20 years of experience, including 9+ years specializing in B2B/B2C Data and AI products. My passion is building and scaling Data/AI/GenAI-powered products from the ground up, with a proven track record of achieving product-market fit and delivering impactful outcomes. My expertise lies in strategic roadmapping, technical leadership, and delivering customer/user-centric products at scale for startups like StarTree and enterprises like Walmart Marketplace, PayPal, LinkedIn, Yahoo, and Intuit.

Key Career Highlights
•Walmart Marketplace: Owned end-to-end feature lifecycle for Seller Risk 360 and Account Linking Graph globally—driving AI-powered decisions on millions of daily seller events, preventing millions in fraud

• StarTree: Drove a product from 0-to-1, launching a real-time anomaly detection tool that secured 7 enterprise customers and grew ARR by 80% in less than 2 years.

• LinkedIn: Scaled data integrity by 30% and user engagement by 15% through a new content scoring system and knowledge graph implemented across 8+ products in under a year.

• PayPal: Led the development of an enterprise data management platform that resulted in an estimated 10x annual savings and reduced merchant churn by 15%.

• Intuit: Launched a self-serve data analytics MVP and QuickBooks Cash Flow Predictor with 92%+ forecast accuracy, which improved SMB retention.

• Yahoo: Owned and delivered a self-serve CRM, booking, and pricing platform and application supporting Yahoo's deals with Microsoft and internal sales.

Expertise
• Product strategy, Data & AI/GenAI products, Marketplace trust & safety, Risk, Real-time decisioning, ML, Feature engineering, Data solutions (observability, governance), Go-to-market, Cross-functional leadership.

I'm interested in - Product Lead for GenAI/Data/AI Products, Marketplace Trust & Safety, Risk/Integrity at scaled B2C/B2B, SaaS, and platform companies. Open to advisory roles with data/AI-first startups.

Let's connect - If you're building high-scale Data/AI/GenAI products or trust & safety systems and need a pragmatic, metrics-obsessed product leader to drive outcomes, reach out here on LinkedIn.

Outside of my primary role, I'm a passionate learner and contributor, speaking at industry events like Grace Hopper and the Realtime Analytics Conference. I also share my expertise as a content author, podcast host, and PM interview prep coach.

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