AI Career Boost

AI Career Boost is the world’s first AI-focused career accelerator helping more diverse leaders thrive in business roles for AI and Machine Learning projects. We provided courses, keynote speaking and consulting services.

AI Product Coach and Advisor | Founder | Making AI Careers Accessible

Reforge

Co-created Build & Design Conversational AI for product managers, design and user research leaders, consultants and founders. Understand AI by getting hands-on with this practical course taught by industry experts.

Reforge Partner

Amazon

Built and led a high-performing 26-person team that developed and launched the first Generative AI answers on Alexa, using transformer models (like those that underlie ChatGPT). Led several cross-functional teams of engineers and scientists for one of the world’s top Natural Language Processing research groups.

Principal Product Manager - Technical, Alexa AI - Web Information

International LEAP Network

LEAP is a private exclusive network for members of the #CareerLeap Program: executive leaders, entrepreneurs, and high achievers from around the world who inspire and drive growth and impact on themselves, their work and their communities.

Executive Member

Data|Product|Strategy

Helping clients become data-centric companies by harnessing the power of data at scale. Advising on AI/ML/Analytics use cases, team processes, architecture and change management. Exploratory Data Analysis, Data Quality Evaluations, Skills Gap Analysis, Architecture Reviews, Vendor Research and MVP Development.

Founder & Principal Consultant

PeopleHedge

At PeopleHedge, they are trying to solve the world's foreign exchange rate problems. PeopleHedge helps importers, exporters, credit unions, and community banks with foreign exchange services. Typically, they shave about a hundred dollars off the cost of an average transaction for the bank or credit union.

Corporate Board Member

Elsevier

Elsevier is an information and analytics company and one of the world's major providers of scientific, technical, and medical information. When Elsevier acquired Plum Analytics in 2017, I was responsible for the strategy and implementation of integrating PlumX metrics throughout Elsevier's suite of Research Product tools and publishing platforms, and the expansion of reliable metrics that matter throughout Elsevier's products.

Director of Product Management, Research Metrics

Plum Analytics

Plum Analytics uses modern metrics to help answer the questions and tell the stories about research.
We measure the impact of research online, including traditional measures like citations counts along with new metrics that showcase usage, social media activity or online commentary.

Director, Product Management

Amazon.com

Our team was responsible for analyzing and reporting on retail promotions and discounts run through the Amazon retail websites world wide. We used predictive analytics to highlight poor performing promotions, designing the groundwork for predictive recommendation systems for retail promotions.

Software Development Manager, Promotion Data Analytics

Part of the Amazon Community team, the Reviewer Motivation team's mission is to engage potential reviewers and to motivate them to use Amazon’s Community features in ways that provide helpful, confidence-inspiring content to Amazon shoppers. We aim to make providing product feedback fun and engaging!

Software Development Manager, Social Shopping Technology

Metafor Software

Metafor software was acquired by Splunk Inc. in 2015.

Established a customer discovery process for a new analytics product for data center operations teams. Created a 12-month product roadmap, minimum viable product recommendations and an interactive prototype based on the results of nearly 20 customer interviews and market analysis.

Product Manager - Anomaly Detection as a Service

I help Product Managers break into AI Leadership - no coding required! Ex-Alexa AI Principal Product Manager | Launched 1st GenAI Answers on Alexa | Top 100 Women of the Future Winner | Reforge Instructor | Speaker

Polly Allen has over 20 years experience developing software, building and leading software teams and most recently leading cross-functional science and engineering teams as a Principal Product Manager for Alexa AI at Amazon. Her expertise is focused in natural language use cases, such as search and discovery, natural language understanding and generation, and she led the development and launch of the first automatically-generated summaries of web content on Alexa in 2020. (And yes, it used transformer models like those that drive ChatGPT!)

As a leader in the intersection of Product Management and Machine Learning, she is passionate about DEI in the space and empowering more people to understand, leverage and participate in the field. She is an experienced angel investor and past corporate board member, has advised multiple startups, and speaks on panels and conferences about Product Management, Ethics and DEI in AI. She holds a M.Sc. in Software Engineering from MIT and the University of Victoria, and an MBA from the University of British Columbia.

Polly M Allen

If the future of AI belongs to the builders… what does that mean for leaders? Are we all supposed to become super-ICs now?

Do we need to learn to prompt, prototype, ship, and scale ourselves?Or is there a new kind of leadership emerging—one that knows how to guide builders, not replace them?

🔥 That was the heart of my session today at the Sidebar Spark Conference:
 Lead AI by Building: Driving Impact and ROI.

And WOW—Spark lived up to its name! I spent the day deep in conversation with senior leaders who are trying to answer the same question: How do we lead in an era where our teams are getting closer to the tech stack, the pace is accelerating, and “business as usual” is officially obsolete?

Here’s what we dug into together:
💡 Supporting your builder teams — how to create an AI-first culture where product and engineering can actually ship - inspired by goals that matter.
 🔎 Diving deeper into the tech stack — not to become an engineer, but to remove blockers, ask sharper questions, and accelerate outcomes.
 📈 Owning the right parts of the product, like evaluation — so leaders are driving ROI, not cheering on endless proofs-of-concept that never make it to users.

And honestly?

The best part was reconnecting AI Career Boost alumni and old friends, and meeting new ones who are doing truly exciting work.

Spark was a reminder that the leaders who lean in now—the ones who embrace the builder mindset—will be the ones who shape the next decade of product innovation.

Huge thanks to the Sidebar team for an energizing, beautifully run event - thanks so much for having me Ha Nguyen, Lexy Franklin and the whole Sidebar team!

 And to everyone I met on Wednesday: you absolutely made my day. 🔥
📸 Photos of brilliant humans below. Harsha Srivatsa Nico Posner Shampa Banerjee, PhD Marily Nika, Ph.D Subha Shetty Vanessa Garber Goldie Chan Evan LaPointe Vikash Rungta Arvita Tripati, MBA Jessica McLaughlin Anja Lee Laura Dunn

I help Product and Business Leaders thrive in AI Leadership - no coding required! Ex-Alexa AI Principal Product Manager | Launched 1st GenAI Answers on Alexa | Top 100 Women of the Future Winner | Reforge Instructor

No alternative text description for this image

In 2019, my director at Amazon Alexa set goals the team had no idea how to accomplish.

It felt wrong. People were nervous.

Then he explained the difference between watermelon goals and dragon fruit goals — and it changed how I think about goal-setting entirely.

Watermelon: Green outside, red inside. Looks good, no real impact.
Dragon fruit: Red outside, green inside. Uncomfortable, but transformative.

Steal the framework and revolutionize how your org thinks about innovation and AI goals 👇

I help Product and Business Leaders thrive in AI Leadership - no coding required! Ex-Alexa AI Principal Product Manager | Launched 1st GenAI Answers on Alexa | Top 100 Women of the Future

It's goal-setting season, and I keep having the same conversation with leaders trying to figure out how to set AI goals and build their AI strategy fo

Open article: Watermelon Goals vs. Dragon Fruit Goals: A Framework for Setting AI Goals That Actually Matter by Polly M Allen • 8 min read

Watermelon Goals vs. Dragon Fruit Goals: A Framework for Setting AI Goals That Actually Matter

In four days, it'll be three years since ChatGPT launched. In five days, it'll be three years since I founded AI Career Boost.

(If I could bottle and sell that market timing, I would!)

I could never have anticipated how world-opening, thrilling, and rewarding this journey would be.
Emerson wrote: "It is one of the most beautiful compensations of this life that you cannot sincerely try to help another without helping yourself."

When I started AI Career Boost, I thought the joy would come from doing meaningful work — helping senior product leaders navigate the transition into AI. And it has. But the deeper joy has been watching the people I work with go on to do meaningful, impactful work themselves. That's the real reward.
To everyone who's been part of this journey — thank you for everything you've brought to mine. I wanted to highlight just one project from our recently-graduated cohort of the AI Career Blueprint below (thanks Kirstin Hartos Maurer!)

If you're a product leader looking to make a big impact using AI, I'd love to have you join us. We're heading into 2025 with a Job Search Systems Sprint next week and freshly revamped content in our AI Momentum membership to help you stay ahead. 

Link in comments.

Happy Thanksgiving 🦃

This Thanksgiving, I'm grateful for a project that's deeply personal—and finally ready to share.

For the past several months, I've been building something called the ALS Care Companion: an AI-powered assistant designed to give ALS families instant access to reliable information about benefits, equipment, daily care, and emotional support—24/7, when they need it most.

Why this matters to me: My mom, Rita, was the primary caregiver for two family members who passed from ALS. She's also organized the annual ALS Minnesota Bike Ride since 2013, raising over $127,000 for ALS research. Watching her navigate the overwhelming maze of information while providing exceptional care taught me something important: every ALS family deserves someone like her in their corner. But not everyone has a Rita. This project is my attempt to change that.

Where we are: The platform is live at alscompanion.org. It's a fully functional AI assistant powered by a curated knowledge base built exclusively from trusted government sources and established organizations—including NIH, Social Security Administration, Medicare.gov, and ClinicalTrials.gov to name a few. No random internet content, only vetted sources. In December, I'm opening it up to a small group of ALS families for beta testing and feedback.

What I've learned: This journey has been a masterclass in applied AI. I've iterated through system prompts, built evaluation frameworks, wrestled with RAG architectures, and learned that the hardest part isn't the technology—it's ensuring every response is accurate, empathetic, and safe for people at their most vulnerable.

Gratitude: I couldn't have gotten here without incredible guidance along the way. Thank you to John Cutter for encouraging me to jump head first into AI up-skilling in the first place (that nudge set this whole journey in motion).  Thank you to Polly M Allen and my AI Product Leader cohort—this is my capstone project for that certification, and the feedback has been invaluable. Thank you also to Aishwarya Naresh Reganti and Kiriti Badam for their course on Building Agentic AI Applications with a Problem-First Approach, which gave me foundational skills I'm directly applying here.  

And most of all, thank you to my mom. You're the inspiration behind every feature.

Want to help? I'm looking for people who want to contribute—whether you have ALS caregiving experience, clinical expertise, AI/ML skills, or just want to support the mission. Reach out at kirstin@alscompanion.org.
🔗 alscompanion.org

In the fight against ALS, information should never be a barrier to care.
#ALS #HealthTech #AI #Caregiving #Thanksgiving #BuildInPublic

Open article: ALS Care Companion | Compassionate AI Support for ALS Families by alscompanion.org

ALS Care Companion | Compassionate AI Support for ALS Families

✨I’m so stoked to be speaking at Sidebar’s Spark Summit tomorrow!

There’s a big misconception I hear all the time from senior leaders about AI:

“I’ve got someone on my team who’ll do the building for me.”

Sorry, but when it comes to AI - it really IS different this time 😉

If you’re leading teams that are experimenting with AI, you can’t outsource understanding.
You don’t need to code — but you do need to get hands-on enough to ask better questions, evaluate what’s possible, and lead from experience, not theory.

That’s exactly what I’ll be sharing in my hands-on workshop tomorrow:
“Lead by Building: An AI Workshop for Senior Leaders Driving Impact & ROI.”

Because the fastest way to real ROI isn’t another strategy deck —
it’s rolling up your sleeves. If you’re coming - see you at my session at 1pm?

#SparkSummit #AILeadership #LeadByBuilding #AIProductManagement #AIROI

I've noticed something about the people who are actually getting ROI from AI.
They're not smarter. (Sorry folks, but you know it's true!)
They don't have better tools. Or more tools.
They just... started. BEFORE they felt ready.
Meanwhile, the people still "researching" are stuck in the same place they were six months ago, with more bookmarks and less confidence.
The difference isn't capability. It's the story we tell ourselves about what we need before we're allowed to begin.
This week's newsletter is about that story — and how to stop believing it.

Have you noticed how much time we spend preparing to do things instead of actually doing them? With AI tools, it looks like: "Should I use Replit or L

Open article: AI: The Real Reason You Haven't Started Yet by Polly M Allen • 5 min read

AI: The Real Reason You Haven't Started Yet

When people worry about “AI replacing jobs,” they're usually missing the real story: most teams aren’t struggling because work is hard; they’re struggling because systems are broken.

In this week’s episode with Sanjay Robson, he makes this point beautifully. His team wasn’t trying to cut roles; they were drowning in outdated processes, compliance reviews, and manual tasks no one had time for. AI didn’t replace people. It replaced the noise so they could finally focus on meaningful work.

What broken system in your org could be an AI win?

🎬 Watch the full episode with Sanjay here: https://lnkd.in/gphg7E4V

#AIProductLeader #ProductManagement #BuildWithAI #AIPodcast #Podcast #TechLeadership

The #1 most rewarding thing I’ve experienced while launching and building AI Career Boost over the last 3 years? Seeing our program participants soar and the inspiring, impactful things they’ve built with AI.  Rob’s solution for at-risk youth found ways to mitigate the risks associated with AI and bring out the best in it - building trust with creativity. Excited to see what you build next Rob Pieiga - wherever you land, they are lucky to have you!

Senior Product Manager / Product Owner | Founder | Financial Services (life, insurance, superannuation) & Regulated Industries | AI Product Leadership | Digital Transformation & Customer Experience

𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗶𝗻𝗴 𝘁𝗵𝗲 𝗷𝗼𝘂𝗿𝗻𝗲𝘆: 𝗜 𝗵𝗮𝘃𝗲 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲𝗱 𝘁𝗵𝗲 𝗔𝗜 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝗕𝗹𝘂𝗲𝗽𝗿𝗶𝗻𝘁

Professional growth is a continuous journey, and I’m proud to mark a significant step forward with the completion of the AI Career Boost – 𝗔𝗜 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝗕𝗹𝘂𝗲𝗽𝗿𝗶𝗻𝘁 Program & Certification, led by Polly M Allen.

Over eight weeks, I explored the critical balance between 𝗔𝗜 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆, 𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲, 𝗮𝗻𝗱 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻.

We focused on the leadership decisions that shape successful AI products — defining success metrics, setting 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝗲 𝗔𝗜 𝗴𝘂𝗶𝗱𝗲𝗹𝗶𝗻𝗲𝘀, ensuring 𝗱𝗮𝘁𝗮 𝗾𝘂𝗮𝗹𝗶𝘁𝘆, and applying strategic patterns like 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (𝗥𝗔𝗚) and 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 to solve complex business problems.

The rapid prototyping for the capstone project was both the biggest challenge and the most rewarding takeaway. In a compressed timeframe, I applied end-to-end product thinking — from ideation and evaluation through to validation — to design and build 𝗕𝘂𝗱𝗱𝘆𝗕𝗼𝘁, a 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝘆𝗼𝘂𝘁𝗵 𝘄𝗲𝗹𝗹𝗯𝗲𝗶𝗻𝗴 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗼𝗻.

This work wasn’t just technical. Exploring the sensitive area of youth mental health meant going deeper into 𝗿𝗶𝘀𝗸, 𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲, 𝗮𝗻𝗱 𝗲𝘁𝗵𝗶𝗰𝘀, ensuring that the design aligned with principles of 𝘀𝗮𝗳𝗲𝘁𝘆 𝗮𝗻𝗱 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆.

It was fantastic to learn with and from an 𝗶𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗰𝗼𝗵𝗼𝗿𝘁 of professionals. The diversity of roles, industries, and experience made for rich discussions and valuable collaboration — thank you all for sharing your insights so generously.

A special thank you to Polly M Allen for leading the program with such deep knowledge, insight, and practical experience, and for delivering it in an engaging and inspiring way.

And thank you to the AI Career Boost 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝘁𝗲𝗮𝗺 for keeping everything running smoothly — from scheduling to communication — and making the whole experience seamless.

This experience has strengthened my confidence in leading products that harness AI both effectively and responsibly. I’m looking forward to applying this refined skill set to the next chapter of product challenges.

If you are interested in the course you can find more details here  - https://lnkd.in/gqpXiSKU

#AIProductLeadership #ResponsibleAI #GenerativeAI #ProductManagement #AICareerGrowth #LearningJourney #AI

Excited to be speaking to top product leaders in Canada on Thursday, Jan 27th! We'll be discussing 5 important mindset shifts leaders need to adopt to drive impact and ROI when it comes to AI, based on my experience working with thousands of product leaders across North America and my own experience driving innovation and AI adoption at Amazon's Alexa AI. Come ready for an interactive workshop - you'll bring home actionable insights you can start implementing on your team right away!

B2B SaaS product leader working with early stage companies | Driving tech innovation with AI

As a Product Leader do you have questions about AI? Of course you do. We all do. AI is changing how we understand our customers, how we build products, how we manage our work, and how we deliver value.

I am excited about our next Product Leaders Exchange (PLX) event. Polly M Allen will join us to talk about how to drive adoption and impact with AI. I hope you can join us.

📆 On Thursday, November 27 we will be hosting a presentation by Polly Allen focused on how we as product leaders can drive adoption and impact with AI. As the former Principal Product Manager at Amazon’s Alexa AI, Polly Allen led the launch of the first Generative AI answers on Alexa in 2020. In this talk, she’ll explore the five critical mindset shifts that high-impact AI product leaders are making to navigate this new AI landscape.

👉 To see full details about this event and register:

Open article: The AI Mindset for ROI: 5 Shifts to Drive Adoption and Impact · Zoom · Luma by luma.com

The AI Mindset for ROI: 5 Shifts to Drive Adoption and Impact · Zoom · Luma

Excited to be joining my Canadian product folks for great session tomorrow!

Executive coach & advisor | Transformation catalyst | Chief Product Officer

I am excited to be hosting this event with Polly M Allen tomorrow, November 27.     The AI MIndset for ROI: 5 Shifts to Drive Adoption and Impact. 

At Product Leaders Exchange, we are bringing the community of 🇨🇦 Canadian product leaders together to create connections and accelerate growth. 

And to my 🇺🇸 American friends, you are most welcome to join! But I think the priority for tomorrow is 🦃 turkey and 🏡 family and 🙏🏾 gratitude. Enjoy your beautiful day.

#ProductLeadership #AI #Canada

🎉 Blueprint Alumni Spotlight: Meet Courtney Kingsbury— the builder behind Verity

If you’ve ever felt overwhelmed by AI tools (“Which do I choose? Where do I start? Why does every tool promise the moon?”) … this video Courtney created captures that pain perfectly.

And then she does something even better:

She shows what clarity actually looks like.

Her AI Career Boost Blueprint capstone project — Verity — tackles one of the biggest problems I hear from small business owners and product leaders alike: AI is everywhere, but the guidance isn’t. You don’t need 200 tools. You need the right workflow and the right decisions at the right time. With confidence you aren't taking stupid security risks with your data.

This video? 👇 It’s such a sharp demonstration of that!
(It also makes me look way cooler than I am, which I deeply appreciate 😂)

What blows me away is that she built all of this inside our 8-week program — taking a messy, real-world problem and turning it into something elegant and genuinely useful.
💛 Proud coach moment.
 💪 And even prouder to see her stepping confidently into product leadership.

If you’re hiring for a Product Director who actually builds, not just talks about AI…
 👉 Reach out to her. She’s the real deal. 
(Full video link in comments!)

Meet Bob Thompson. Bob has grown his company for the past 30 tears.

He's smart. He's capable.

But right now Bob is terrified.

Joe Sessions, COO and co-founder of OptimAIz, shares how stripping away unnecessary complexity has been his secret to building better AI solutions. From rewriting Algebra 1 in five pages to simplifying automation workflows, his message is clear: AI success starts with clarity, not code.

🎬 Watch the full episode with Joe here: https://lnkd.in/g3AKxJ7e

#AIProductLeader #AIProductManagement #LeadershipInAI #AIMindset #ProductLeadership #AIforBusiness #AutomationStrategy

Joe Sessions explains why small, meaningful AI automations beat big experimental bets. “If you ever find yourself doing repetitive work, that’s your signal. Automate it.” His no-fluff approach to AI adoption reminds us: progress beats perfection every time.

🎬 Watch the full episode with Joe here: https://lnkd.in/g3AKxJ7e

#AIAutomation #AIProductLeader #WorkSmarter #AIForProductManagers #AIBusiness #AIExecution #ProductLeadership

What am I thankful for? Being a part of empowering AI-first leaders who build like Courtney Kingsbury. Inspiring work from our AI Career Boost grads!

My husband asked his dev friends to build him an app.

For 15 years.

I did it in under an hour.

I don’t code or program. I’m just a scrappy tinkerer. Junior dev at best.

He wanted alerts for when to open and close the windows based on outside temperature vs his preferred range. Simple idea, but never urgent enough for anyone to actually build.

I used Claude Code. Described what he wanted. Mockup to production before lunch.
15 years of asking. One hour of tinkering.

Here’s the thing: I’ve spent my career translating between engineering and stakeholders. It’s what I’m best at. But I kept hitting a wall. You can only bridge a gap so well when you’ve never stood on the other side.

So I started building. Tinkering. Learning what engineers actually deal with.

Now I get to be the PM and the engineer. And it’s made me better at both.

That’s why I keep doing this. Not to become a developer. To become a better translator.

If you’re looking for a Product Director who actually builds, let’s talk. 

courtneykingsbury.com

Open article: Courtney Kingsbury | Product Director by courtneykingsbury.com

Vibe coding isn't just empowering a new set of people to be developers. It's enabling them to be a part of building the future.

Need an example? Sarah Hackett 🏳️‍🌈 is building a new AI wedding concierge - and early feedback was that a traditional loveable.dev 'dashboard' view was too overwhelming. This redesign highlights how an art director and creative strategist thinks differently that any traditional 'developer'; instead of being stuck in a paradigm of chatbots vs. web apps, she's thoughtfully looked at how a high end concierge look, behaving and FEEL to the user. Pushing the boundaries and creating new UX patterns - these are some of the changes I'm most excited about!

(and if you have an upcoming wedding, hit Sarah up! She's looking for beta testers!)

Art Director & Creative Strategist | Ex-The Martin Agency, &Walsh + Billie

Vibe coding is super empowering for a non-software engineer but it can take a looooooong time...

This week I created a more conversational homepage.
Pretty happy with it for now. Always more to do!

_________________________________________________________
#buildinpublic #Lovable #NoCode #IndieBuilder #Pinch #UXDesign #VibeCoding

Product and business leaders who want to lead AI at their orgs need to get hands-on. Full stop. It's been an exciting week at AI Career Boost seeing the final capstone projects from our latest cohort of product leaders equipped to lead confidently, by example, in the AI era! Congrats Phillip Fairbrother!!

Product Leader | Driving AI Innovation, Experimentation, and Customer-Centered Growth

Excited to share that I'm a certified AI Product Manager! The AI Product Leader Blueprint from AI Career Boost is a transformative #AI #productmanagement experience, where I gained vital AI skills for real-world applications. Excited for new opportunities in AI #innovation!

I had an opportunity to work with a ton of incredible AI Product Leaders over the last 8 weeks and learn a LOT about what goes into managing Generative AI products. I built prototypes, 'vibe-coded' full products, including multiple chatbots, RAG systems, and agentic ecosystems with multiple AI agents working together to accomplish tasks. I whole heartedly endorse working with Polly M Allen and the folks at AI Career Boost

Feel free to check out some of my work at https://fairbrother.ai/ and let me know what you think! Excited to be part of this new digital frontier. 

Certificate: https://lnkd.in/e2c4M43K

The number of PMs stuck in “which tool should I use?” mode is… a lot. And it’s slowing people down more than any technical skill gap.

Sanjay Robson, said it best: just pick something and start. Replit, Base44, Lovable — none of them matter if you’re not actually building.

The fastest learners in AI are the ones who treat tools like gym equipment. Try one, switch when you outgrow it, keep moving.

Momentum beats perfection every single time.

🎬 Watch the full episode with Sanjay here: https://lnkd.in/gphg7E4V

#AIProductLeader #ProductManagement #BuildWithAI #AIPodcast #Podcast #TechLeadership

AI won’t solve your workflow gaps if you're still thinking in last year’s playbook. In this week’s episode, Daryl Teo shared how his entire AI shift started with one move: changing the way he approached problems before touching any tools. Instead of jumping into solutions, he asked, “What would this look like if AI were my first teammate?” That simple shift changed everything for him, and it can do the same for any product leader trying to stay ahead. Curious what that looks like in real teams?

🎬 Watch the full episode here: https://lnkd.in/geM5343N

#aiproductleadership #aimindsetshift #aiproductmanagement #techleadership

I’m happy to share that I recently obtained a new certification: Certified AI Product Leader from AI Career Boost!  It was a great balance between strategic content and hands-on practice. It's been a solid foundation for navigating practical use cases and understanding the accelerating pace of development in this space.

Unlock Your Early Bird Perks 🔓

Join our newsletter today to unlock exclusive access to course discounts, early bird perks, and other special opportunities. Don't miss out—sign up here: 🔗 https://lnkd.in/g-wzUdTQ

Rupa Chaturvedi

Human Centered AI Institute

Founder

Vybe Snacks

Stanford University

Adjunct Lecturer (Product Design)

Miraj Sustainable Racing Club

California's first sustainable racing club

Founder & President

Co-created the "Generative AI Products: How to get from Idea to MVP" course for product managers, design and user research leaders, consultants and founders. Understand AI by getting hands-on with this practical course taught by industry experts.

Partner

Uber

Head of Merchant & Ads Design

First Round Capital

Product & UX Design Mentor

Google

UX Design Manager

I manage and lead a team of UX and Personality designers focused on Conversational AI within the Alexa Shopping group in Amazon. Collectively, my team and I conceptualize, deliver design and strategy to help launch customer experiences that span upper funnel, inspiration and product discovery; product evaluation and research, and post purchase needs of our customer. We are fierce advocates for our customers and leverage multiple sources of data from qualitative to quantitative to guide our intuition and measure our efficacy. The impact we have generated is a combination of customer experience vision, strategic frameworks and mental models as well as design systems for interaction with Alexa by voice and devices in the context of shopping.

Sr UX Designer, Alexa Shopping

Lead UX Designer for Augmented Reality (AR) experiences at Amazon

Sr UX Designer

Sentient Technologies

Helped launch an AI-enabled shopping product that will change the way shoppers shop online. 
Conceptualized and designed multi-channel user experiences for a breakthrough visual search technology product - redefining how consumers shop online.

Helped launch a breakthrough AI enabled online shopping product within 5 months.
Contributed from conceptualizing the UI and product strategy/features to final implementation through whiteboard sketches, wire-frames, high fidelity prototypes and design specifications.

Followed a thorough user centered design process to gather insights into shopper behavior and expectations as well as iterative design based on feedback from user testing.

Head of Design - Visual Intelligence

Head of Merchant & Ads Design at Uber, Adjunct Lecturer at Stanford University

I'm building a world-class AI education institute that puts humans at the center of the AI revolution. Our mission is to empower professionals worldwide to create AI solutions that deliver tangible value for both businesses and end users. We're committed to making AI education accessible, enabling people from all backgrounds to help shape technology's future.

Hard truth for UX designers: if your role looks the same in 2 years, that’s a red flag.

If your value is defined by producing UI artifacts (wireframes, mockups, and redlines) you are in a precarious position. AI models are already exceptionally good at pattern matching and interface generation.

But if your value is defined by system design, you have never been more necessary.

There is a shift from "designing for the user" to "designing for the system."

When an AI agent acts on behalf of a user, it doesn't need a UI. It needs:

- Behavioral Specs: What is the acceptable range of autonomy for this model?
- Adaptive Context: How does the system pivot when the user’s intent is ambiguous?
- Human-in-the-Loop Protocols: When must the human step in for oversight?

These are design responsibilities. They require moving upstream to shape what the system learns and how it decides.

This is exactly why I developed the Advanced AI & Agentic Design curriculum. We stop looking at screens and start looking at system behaviors. We focus on defining constraints, designing for non-deterministic outcomes, and building trust in autonomous flows.

The designers who survive this shift will be the ones who can define the guardrails of the systems we are building. Learn more here: https://bit.ly/3MjqTzM

Design & AI Leader | Stanford Lecturer | AI enablement for UX orgs | ex-Uber, Google, Amazon

Google's Head of Product announced a shift from "writing-first to building-first culture."

Microsoft's CPO said "prompt sets are the new PRDs."

Product management went through a transformation in the past 18 months that UX designers are just starting to feel.

When you can see a shift happening in an adjacent discipline, you have visibility others don't. The question is whether you use it strategically.

I've been mapping what the PM precedent signals for UX roles—and how designers can position themselves while the industry is still figuring out what these roles look like.

Check out my latest newsletter for more on this:

This is the AI UX Brief - my weekly newsletter on designing intelligent systems, leadership in the AI era, and navigating the messy reality of AIUX. F

Open article: Redefining UX Value: The Shift from Execution to Influence by Rupa Chaturvedi • 5 min read

Redefining UX Value: The Shift from Execution to Influence

Meta, Google, OpenAI, Anthropic - they're paying AI PMs up to $600K+.
Why? Because these PMs aren't writing PRDs anymore. They're architecting intelligent systems - designing model behavior, shaping evaluation frameworks, defining how AI thinks and decides.

The role has evolved from coordination to creation. And the market is paying accordingly.

Designers have a unique opportunity here. System thinking, behavioral specification, mental models - these are already in our DNA. Now it's about applying them to intelligence architecture.

Product's transformation is our preview. They're 12-18 months ahead on this curve, and their playbook is completely visible. We can see exactly which capabilities the market values and how to develop them.

In this week's issue, I break down what designers can learn from Product's transformation - the specific capabilities commanding these salaries and strategies for positioning themselves effectively.

Open article: The $600K Question: What AI PMs Know That UX Designers Don't (Yet) by Rupa Chaturvedi • 6 min read

The $600K Question: What AI PMs Know That UX Designers Don't (Yet)

I got a message this week from a UX Director at a FAANG company 6 weeks after completing MXDAI:

“Org changes have been constant here, and the structure is getting flatter every quarter. The expectations on designers have shifted too. My team and I are being pulled into more conversations about how the AI behaves, not just how it looks on the surface. PM and Eng expect us to have a clear point of view there, and if we don’t, we’re not really influencing the product. MXDAI helped me step into those conversations with more confidence. It’s made a noticeable difference in how I show up and how my team gets included.”

What resonated with me is how common this has become.

Across companies, designers are being asked to take on a level of strategic influence that isn’t written into the job description but is now core to how teams move forward. 

As orgs continue to flatten, leaders and ICs are figuring out how to stay relevant in a landscape where expectations rise even as layers disappear. The people who can bring clarity to messy AI questions and ambiguous decisions are the ones carrying a different kind of weight.

This is the work we focus on inside MXDAI.

We’re currently the number one AI design course on Maven, and now you know why.

Maven also extended the promo for one more day today, in case you’ve been considering joining the next cohort - take advantage of the 25% tuition discount - offer expires tonight/

If you’re facing similar changes or want to get ahead of what’s coming, feel free to reach out.

cc Maven

There’s been so much talk lately about PMs vibe-coding prototypes and PRDs being replaced with “just build something and show me.”
But here’s what I keep coming back to: designers need these skills just as much as PMs do, maybe more.

Our stakeholders are adopting AI tools at a pace that’s hard to ignore. The workflows between design, product and engineering are shifting fast. If designers don’t build fluency in this space, they’ll get left behind.

Vibe coding isn’t about learning to code. It’s about learning to build.

When you can build with AI tools, even scrappy prototypes, you collapse the distance between an idea and something you can actually interact with. You get to explore AI behaviors and edge cases hands-on instead of trying to explain them through diagrams and long documents.

And as you experiment with different tools, you start developing a deeper understanding of the underlying tech, the constraints, the limitations and what’s truly feasible. That knowledge changes how you design. It sharpens your instincts. It gives you language and clarity your stakeholders instantly recognize.

This is also where designers make a shift. You stop worrying about perfect wireframes and start focusing on how to validate your assumptions. You move from being the person who “hands things off” to becoming a strategic partner who brings real, testable workflows to the table.

Designers who lean into this aren’t just speeding up their process. They’re shaping how AI products come to life.

If you’re ready to invest in these skills, take a look at MXDAI: https://bit.ly/48o50YD 
We learn by doing. You’ll explore a range of AI tools, build real workflows, and leave with a portfolio-worthy project that reflects how AI design actually happens today.

NOTE: Currently, Maven is offering a flat 25% discount on the next cohort and its valid only for this. week.

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