Dr. Nancy Li - Director of Product

How to Write an AI Product Manager Resume That Gets You REAL Interviews

Here’s a step-by-step breakdown 👇

1️⃣ Contact Info + LinkedIn + Portfolio (Top of Page)

Name. Location. Email. LinkedIn.

If you have a product portfolio — include it.

Recruiters spend seconds scanning. Make it effortless to reach you.


2️⃣ Strong, Focused Objective

In 2–3 lines, clarify:
- Who you are
- Your PM experience
- Why AI PM

This frames the rest of your resume.


3️⃣ Technical Skills — Show AI Fluency Early

Even if you’re not coding daily, you should demonstrate familiarity with:
• LLMs
• RAG
• Prompt engineering
• Model evaluation metrics
• Data pipelines
• MLOps basics

AI PM roles require product + AI literacy.


4️⃣ Tailor Experience to the Role

Mirror the job description.

Make sure your resume reflects relevant exposure. Generic PM bullets won’t cut it.


5️⃣ Highlight Measurable Impact

Don’t say:
“Led AI initiative.”

Say:
“Improved model accuracy from 74% to 88% by refining training dataset and evaluation loop.”


6️⃣ Organize Strategically
• Experienced PM? → Lead with AI-relevant work
• Transitioning? → Emphasize projects
• Student? → Highlight builds + internships


7️⃣ Separate AI Skills & PM Skills

Create two clear sections:
📌 AI / Technical Skills
📌 Product / Leadership Skills

This improves both ATS matching and readability.


8️⃣ Use the Right Keywords

Balance:
- General PM terms (roadmap, MVP, stakeholder alignment)
- AI-specific terms (model lifecycle, hallucination mitigation, ML workflow, dataset management)

Relevance determines whether you get screened in.


9️⃣ Gaining Real-World Experience Is Vital

This is the part most people skip.

Courses and certificates are helpful — but recruiters ultimately ask:

Have you actually built something AI-powered?

Hands-on experience transforms your resume from theoretical → hireable.

That’s exactly why we built our AI PM Bootcamp.

Inside the program, you don’t just “learn AI.”

You actually build a real AI product — working in a team with developers, data scientists, and designers.

By the end, you walk away with:
• Real hands-on AI product experience
• A shipped product you can confidently talk about in interviews
• Proof that you can operate at the intersection of AI + product + execution

If you’re serious about breaking into AI PM, book a call with our career advisor to see if the bootcamp is the right fit for you.
👉www.pmaccelerator.io/AI_PM_Course_Application

Because the fastest way to fix your AI PM resume…
is to build something real behind it.

#PMAccelerator #AIPMBootcamp

1 day ago | [YT] | 24

Dr. Nancy Li - Director of Product

Most people think a 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐩𝐨𝐫𝐭𝐟𝐨𝐥𝐢𝐨 is just a collection of projects.

It’s not.

A product portfolio is a strategic tool — and how you build it depends entirely on your goal.

Let’s break down the 3 types 👇


1️⃣ 𝐏𝐨𝐫𝐭𝐟𝐨𝐥𝐢𝐨 𝐟𝐨𝐫 𝐀𝐬𝐩𝐢𝐫𝐢𝐧𝐠 / 𝐄𝐧𝐭𝐫𝐲-𝐋𝐞𝐯𝐞𝐥 𝐏𝐌𝐬

𝐆𝐨𝐚𝐥: Break into product management.

If you don’t have official PM experience, your portfolio must:
- Demonstrate transferable skills
- Show the end-to-end product lifecycle
- Prove you can think like a PM

Your projects should clearly walk through:

Problem → User research → Insights → MVP definition → Prioritization → Launch plan → Metrics

You’re not just showing “a cool idea.”

You’re proving:
- You understand structured thinking
- You can make trade-offs
- You can ship

Hiring managers aren’t looking for perfection.

They’re looking for product judgment.


2️⃣ 𝐏𝐨𝐫𝐭𝐟𝐨𝐥𝐢𝐨 𝐟𝐨𝐫 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞𝐝 𝐏𝐌𝐬

𝐆𝐨𝐚𝐥: Showcase impact and leadership.

At this stage, no one cares that you “ran sprints.”

They care about outcomes.

Your portfolio should highlight the 3 major launch phases:
1. Pre-launch – strategy, alignment, risk mitigation
2. Launch – execution, stakeholder management, GTM
3. Post-launch – metrics, iteration, impact

Focus on:
- Revenue impact
- User growth
- Retention improvements
- Cost savings
- Strategic influence

Experienced PM portfolios are about results, not responsibilities.


3️⃣ 𝐏𝐨𝐫𝐭𝐟𝐨𝐥𝐢𝐨 𝐟𝐨𝐫 𝐏𝐌 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰𝐬

𝐆𝐨𝐚𝐥: Demonstrate thinking under pressure.

This type is highly customized to the company you're interviewing for.

For example, one of my students built a tailored portfolio for TikTok — showing how she would improve a core product experience. That portfolio helped her land a Senior PM role.

In interview portfolios:
- Prioritize the problem
- Define the user clearly
- Narrow the scope
- Present a structured solution
- Show trade-offs
- Tie everything to metrics

And remember — you’ll likely have limited time.

Clarity > Complexity.


𝐓𝐡𝐞 𝐁𝐢𝐠𝐠𝐞𝐬𝐭 𝐌𝐢𝐬𝐭𝐚𝐤𝐞?

Using the same portfolio for every scenario.


Your portfolio is not a scrapbook.
It’s a strategy.

Before building one, ask yourself:
What outcome am I optimizing for?

If you’re serious about building a strong portfolio but don’t know what projects to start with…

I created a free resource for you:
13 𝑆𝑖𝑑𝑒 𝑃𝑟𝑜𝑗𝑒𝑐𝑡𝑠 𝑡𝑜 𝐶𝑟𝑒𝑎𝑡𝑒 𝑎 𝑃𝑟𝑜𝑑𝑢𝑐𝑡 𝑃𝑜𝑟𝑡𝑓𝑜𝑙𝑖𝑜

These are practical, PM-ready project ideas designed to help you:
- Demonstrate real product thinking
- Showcase end-to-end execution
- Stand out in interviews

Download it here 👇
www.pmaccelerator.io/pm-project-list

Stop waiting for experience.

Start building it.


#PMAccelerator

2 days ago | [YT] | 0

Dr. Nancy Li - Director of Product

One of the most common PM interview questions:

“𝐓𝐞𝐥𝐥 𝐦𝐞 𝐚𝐛𝐨𝐮𝐭 𝐚 𝐭𝐢𝐦𝐞 𝐲𝐨𝐮 𝐭𝐮𝐫𝐧𝐞𝐝 𝐚 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐟𝐫𝐨𝐦 𝐜𝐨𝐧𝐜𝐞𝐩𝐭 𝐭𝐨 𝐞𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧.”

I’ve interviewed 1000+ candidates.

Most people either:

- Go too high-level and vague
- Or drown in tiny details that don’t matter

Here’s what interviewers are actually looking for 👇

Not just your story.

But:

1️⃣ Have you really done product work before?

2️⃣ Do you understand modern product methodology (Agile, MVP, iteration, GTM)?


If your answer doesn’t clearly show both — you’ll lose the room.


So here’s a simple 3-Phase Framework you can use:

When I answer this question (or coach my students), I structure it like this:


“𝐿𝑒𝑡 𝑚𝑒 𝑤𝑎𝑙𝑘 𝑦𝑜𝑢 𝑡ℎ𝑟𝑜𝑢𝑔ℎ 𝑡ℎ𝑒 3 𝑝ℎ𝑎𝑠𝑒𝑠:

𝑀𝑎𝑟𝑘𝑒𝑡 𝑅𝑒𝑠𝑒𝑎𝑟𝑐ℎ → 𝑀𝑉𝑃 → 𝑃𝑟𝑜𝑑𝑢𝑐𝑡 𝐿𝑎𝑢𝑛𝑐ℎ.”

Clean. Structured. Confident.


𝐏𝐡𝐚𝐬𝐞 𝟏: 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡

Don’t just say “we did research.”

Be specific.

- What problem were you solving?

- Who were the users?

- Did you run customer interviews?

- What alternatives existed?

- What insight changed your direction?


Show that your decisions were driven by real user signals, not opinions.

Interviewers want to see how you think.


𝐏𝐡𝐚𝐬𝐞 𝟐: 𝐌𝐕𝐏

This is where many candidates get weak.

Transition clearly:

“Based on our research, we discovered X. So I proposed Y.”

Then explain:

- What was the MVP? (1–2 clear sentences)

- Who did you collaborate with? (engineering, design, stakeholders)

- How did you iterate?

- What feedback loops did you build?

Mention iteration. Mention stakeholders. Mention learning.

That signals real product experience.


𝐏𝐡𝐚𝐬𝐞 𝟑: 𝐋𝐚𝐮𝐧𝐜𝐡

Now, talk about execution.

- What was your go-to-market strategy?

- Who did you work with?

- What metrics did you track?

- What impact did you achieve?


And PLEASE…

End with results.


Revenue. Adoption. Conversion. Retention.
Give me numbers.


Strong PMs don’t just build.
They deliver outcomes.

The biggest mistake?
Describing activities.


Great candidates describe 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬, 𝐭𝐫𝐚𝐝𝐞-𝐨𝐟𝐟𝐬, 𝐚𝐧𝐝 𝐢𝐦𝐩𝐚𝐜𝐭.

Research → MVP → Launch
Insight → Action → Impact


Want to be fully prepared for PM interviews at top companies?

📥 Download my free resource: 𝑇𝑜𝑝 50 𝑃𝑀 𝐼𝑛𝑡𝑒𝑟𝑣𝑖𝑒𝑤 𝑄𝑢𝑒𝑠𝑡𝑖𝑜𝑛𝑠 𝐷𝑎𝑡𝑎𝑏𝑎𝑠𝑒 — all the questions tier-1 companies ask to land a job offer in 60 days.
👉 www.pmaccelerator.io/50FAANG

Stop guessing. Start practicing. Land that offer.

#PMAccelerator

6 days ago | [YT] | 12

Dr. Nancy Li - Director of Product

Heads up, PMs! Intuit is hiring across multiple levels this February.

They’ve opened positions for:

- Interns
- Mid-level PMs
- Senior PMs
- Staff & Principal PMs
- Group PM Managers

Curious? Check out the full list of openings here:
www.intuit.com/careers/

✨ If you see a role you like, DM me with the Job ID and I'll ensure your resume gets straight to the hiring manager.

#PMAccelerator #TechHiring

1 week ago | [YT] | 9

Dr. Nancy Li - Director of Product

Have you ever snapped at your kid…
and later realized you weren’t reacting to them —
you were reacting to something inside you?

One of our students built an AI app around that exact moment.

It’s called Parenting & Nurture Self — an emotional awareness + inner child healing app designed for parents who want to raise their kids without repeating the same cycles they grew up with.

The app helps parents:

- Pause and identify what they’re actually feeling
- Use an emotion wheel to name emotions quickly
- Do body scans to notice where feelings show up physically
- Practice grounding and cognitive reframing
- Get personalized support from an AI mindful guide
- Track emotional patterns through an insights dashboard

𝐈𝐭’𝐬 𝐭𝐡𝐨𝐮𝐠𝐡𝐭𝐟𝐮𝐥. 𝐈𝐭’𝐬 𝐯𝐮𝐥𝐧𝐞𝐫𝐚𝐛𝐥𝐞. 𝐀𝐧𝐝 𝐢𝐭’𝐬 𝐬𝐨𝐥𝐯𝐢𝐧𝐠 𝐚 𝐯𝐞𝐫𝐲 𝐫𝐞𝐚𝐥 𝐩𝐫𝐨𝐛𝐥𝐞𝐦.

𝑌𝑜𝑢 𝑐𝑎𝑛 𝑡𝑟𝑦 𝑖𝑡 ℎ𝑒𝑟𝑒:

👉 parenting-and-nurtureself.vercel.app

If you’re a parent (or healing your own inner child), go explore it and send her feedback. Shipping something this personal isn’t easy.

𝐖𝐡𝐚𝐭 𝐦𝐚𝐤𝐞𝐬 𝐦𝐞 𝐞𝐱𝐭𝐫𝐚 𝐩𝐫𝐨𝐮𝐝?

She built and launched this in just 11 weeks inside our AI PM Bootcamp.

Inside the program, you don’t just sit and learn AI concepts.

𝐘𝐨𝐮 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐛𝐮𝐢𝐥𝐝.

You work in a cross-functional team with developers, data scientists, and designers — just like you would in a real company.


By the end, you walk away with:

• Real hands-on AI product experience

• A shipped product you can confidently talk about in interviews

• Proof that you can operate at the intersection of AI + product + execution

𝐓𝐡𝐚𝐭 𝐜𝐨𝐧𝐟𝐢𝐝𝐞𝐧𝐜𝐞 𝐡𝐢𝐭𝐬 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭 𝐰𝐡𝐞𝐧 𝐲𝐨𝐮’𝐯𝐞 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐛𝐮𝐢𝐥𝐭 𝐬𝐨𝐦𝐞𝐭𝐡𝐢𝐧𝐠.

If you’ve been sitting on an idea thinking,
“Maybe one day…”

Book a free call with our career advisor here:
👉 www.pmaccelerator.io/AI_PM_Course_Application


At some point, you stop consuming.
You start shipping.


#PMAccelerator #AIPMBootcamp

1 week ago | [YT] | 5

Dr. Nancy Li - Director of Product

If you don’t have a product portfolio yet… this is your sign.

Here are the 𝐓𝐨𝐩 𝟓 𝐅𝐑𝐄𝐄 𝐭𝐨𝐨𝐥𝐬 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐮𝐬𝐞 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐩𝐨𝐫𝐭𝐟𝐨𝐥𝐢𝐨 𝐅𝐀𝐒𝐓 — no excuses, no expensive software.

1️⃣ 𝐖𝐢𝐱
One of the easiest ways to host your portfolio website.
- Free plan is more than enough for PM portfolios
- Upgrade only if you want a custom domain
- Perfect for showcasing your end-to-end product thinking

You don’t need to overcomplicate it. Just publish.


2️⃣ 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐏𝐨𝐰𝐞𝐫𝐏𝐨𝐢𝐧𝐭
Sounds simple? That’s the point.

You can:
- Create customer personas
- Show market research
- Compare competitors
- Walk through product strategy
- Demonstrate how you solve problems

PM is about thinking, not fancy tools. PowerPoint lets you clearly show your structured thinking and transferable skills.


3️⃣ 𝐅𝐢𝐠𝐦𝐚
My favorite for designing your MVP.
- Create clean, beautiful product mockups
- Design clickable prototypes
- Export visuals and embed them into your website

Many of our students design their MVP in Figma and then upload the images to Wix — boom 💥 end-to-end portfolio case study.


4️⃣ 𝐌𝐢𝐫𝐨
Perfect for system design & architecture diagrams.

It became huge during quarantine because everyone needed remote whiteboarding.

We use it inside PM Accelerator to:
- Teach system design
- Create engineering architecture diagrams
- Map user flows

Flexible. Visual. Free.


5️⃣ 𝐀𝐬𝐚𝐧𝐚 𝐨𝐫 𝐓𝐫𝐞𝐥𝐥𝐨

Everyone asks: “What tool must PMs know?”

Yes, Jira is common in enterprises — but you don’t need expensive enterprise tools to practice.

Asana and Trello:
- Let you write user stories
- Track requirements
- Manage backlogs
- Simulate real PM workflows

Even my team at PM Accelerator uses Asana to manage processes and requirements.


Most people don’t lack talent.
They lack proof.

Recruiters don’t hire potential.
They hire demonstrated thinking.

A strong portfolio turns
“I’m interested in PM”
into
“Here’s how I think. Here’s how I build.”

That’s the difference.

👉 I created a FREE resource: “13 𝑆𝑖𝑑𝑒 𝑃𝑟𝑜𝑗𝑒𝑐𝑡𝑠 𝑡𝑜 𝐶𝑟𝑒𝑎𝑡𝑒 𝑎 𝑃𝑟𝑜𝑑𝑢𝑐𝑡 𝑃𝑜𝑟𝑡𝑓𝑜𝑙𝑖𝑜”
These are real, practical project ideas you can start immediately to build yours.

Download it here:
www.pmaccelerator.io/pm-project-list

Stop saying “I don’t have experience.”

Build it. Show it. Own it.

#PMAccelerator

1 week ago | [YT] | 1

Dr. Nancy Li - Director of Product

Here are 10 AI tools you should know — from beginner to advanced 👇

1️⃣ 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 (𝐎𝐩𝐞𝐧𝐀𝐈)

- Your default AI copilot.

- PRDs, emails, debugging, research, interview prep — this is the modern productivity layer.

- If you're an aspiring AI PM, this is where you practice prompt design and workflow thinking.


2️⃣ 𝐆𝐞𝐦𝐢𝐧𝐢 (𝐆𝐨𝐨𝐠𝐥𝐞)

- Google’s multimodal LLM.

- Strong with real-time information and tightly integrated with Google’s ecosystem.

- Useful for research-heavy tasks and market analysis.


3️⃣ 𝐂𝐥𝐚𝐮𝐝𝐞 (𝐀𝐧𝐭𝐡𝐫𝐨𝐩𝐢𝐜)

- Excellent at long-context reasoning and structured writing.

- Great for strategy docs, reports, and enterprise-level thinking.


4️⃣ 𝐃𝐀𝐋𝐋·𝐄 𝟑

- Text-to-image inside ChatGPT.

- Perfect for rapid prototyping, UI mock concepts, and creative testing.


5️⃣ 𝐌𝐢𝐝𝐣𝐨𝐮𝐫𝐧𝐞𝐲

- High-quality artistic generation.

- Widely used by designers and AI-first startups for branding and visual experimentation.


6️⃣ 𝐆𝐢𝐭𝐇𝐮𝐛 𝐂𝐨𝐩𝐢𝐥𝐨𝐭

- An engineer’s force multiplier.

- Code completion, function generation, bug hints.

- If you’re building AI products, this dramatically increases iteration speed.


7️⃣ 𝐓𝐞𝐧𝐬𝐨𝐫𝐅𝐥𝐨𝐰

- Production-grade ML framework from Google.

- Helps you understand how AI systems are actually trained and deployed at scale.


8️⃣ 𝐏𝐲𝐓𝐨𝐫𝐜𝐡

- Flexible, research-dominant deep learning framework.

- Many state-of-the-art models are built on it.


9️⃣ 𝐇𝐮𝐠𝐠𝐢𝐧𝐠 𝐅𝐚𝐜𝐞

- The modern AI model hub.

- Thousands of pretrained models across NLP, CV, and audio.

Critical for fast experimentation in AI products.


🔟 𝐂𝐚𝐧𝐯𝐚 𝐌𝐚𝐠𝐢𝐜 𝐒𝐭𝐮𝐝𝐢𝐨

- AI-powered content creation.

- Great for PMs validating ideas with fast decks, visuals, and marketing assets.


You don’t need to build a foundation model to enter AI.


But you do need to understand:

• What today’s AI tools can and cannot do

• How they integrate into workflows

• Where product opportunities emerge

• Why technical constraints shape product decisions


AI fluency is becoming the new baseline skill.

If you want structured guidance, I put together a free resource:

𝑇𝑜𝑝 8 𝑅𝑒𝑐𝑜𝑚𝑚𝑒𝑛𝑑𝑒𝑑 𝐴𝐼 𝐶𝑜𝑢𝑟𝑠𝑒𝑠 — curated for engineers and PMs who want real, career-relevant AI skills.

👉 Download it here: www.pmaccelerator.io/aicourses

#PMAccelerator #AIPMBootcamp

1 week ago | [YT] | 9

Dr. Nancy Li - Director of Product

Most people don’t realize how fragile their career positioning is right now.

Not because they’re bad at their jobs.

But because 𝐭𝐡𝐞 𝐫𝐮𝐥𝐞𝐬 𝐮𝐧𝐝𝐞𝐫𝐧𝐞𝐚𝐭𝐡 𝐭𝐡𝐞𝐢𝐫 𝐣𝐨𝐛𝐬 𝐚𝐫𝐞 𝐪𝐮𝐢𝐞𝐭𝐥𝐲 𝐜𝐡𝐚𝐧𝐠𝐢𝐧𝐠.

That’s why I invited Sunny Youn onto the podcast.

On paper, her path looks impressive — Wall Street → Big Tech → now GenAI at Meta.

But what stood out wasn’t the resume.

It was how she reinvented herself before the market forced her to.

During our conversation, she said something that hit hard:

“The market doesn’t care how good you were at your last job.”

Her finance and analytics expertise didn’t disappear when she moved into tech.

But it wasn’t enough.

What mattered more was her ability to:
– Translate her skills into new contexts
– Understand how technology changes decision-making
– Ask: What part of my job can be automated — and what part shouldn’t?


𝐓𝐡𝐢𝐬 𝐢𝐬 𝐰𝐡𝐞𝐫𝐞 𝐦𝐨𝐬𝐭 𝐩𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥𝐬 𝐠𝐞𝐭 𝐬𝐭𝐮𝐜𝐤.


They either panic and try to learn everything about AI.

Or they ignore it and hope experience carries them.

Both are risky.

At Meta, GenAI isn’t about flashy demos.

It’s about:
– Knowing where AI creates real value
– Understanding the cost of wrong predictions
– Designing systems where humans and models work together

It’s less about writing perfect PRDs.

More about asking better questions:

What assumptions is this model making?

Where could this break at scale?

What should never be automated?

Reinvention isn’t a dramatic job change.

It’s a mindset.

Sunny didn’t pivot when she was desperate.

She pivoted 𝐰𝐡𝐞𝐧 𝐬𝐡𝐞 𝐰𝐚𝐬 𝐬𝐥𝐢𝐠𝐡𝐭𝐥𝐲 𝐮𝐧𝐜𝐨𝐦𝐟𝐨𝐫𝐭𝐚𝐛𝐥𝐞 — 𝐛𝐮𝐭 𝐬𝐭𝐢𝐥𝐥 𝐜𝐫𝐞𝐝𝐢𝐛𝐥𝐞.

That’s the sweet spot.

Ask yourself:

If my job disappeared tomorrow,

what problem-solving ability would still be valuable?

That question should guide what you learn next.

If you’re wondering whether your role is future-proof — or whether you need to move into AI — this episode gives you a clear framework.

🎧 Watch Sunny's full story here: https://youtu.be/sjZWA4mWtZ8

And one last thing.

Recruiters aren’t impressed by AI certificates anymore.

They’re asking:
𝐖𝐡𝐚𝐭 𝐡𝐚𝐯𝐞 𝐲𝐨𝐮 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐛𝐮𝐢𝐥𝐭?

That’s why inside our AI PM Bootcamp, you build and launch real AI products in cross-functional teams — not just learn theory.

👉If you’re serious about breaking into AI (or staying relevant as a PM), book a free call with our career advisor.

www.pmaccelerator.io/AI_PM_Course_Application


Theory won’t get you hired.
Real AI experience will.


#PMAccelerator #AIPMBootcamp

2 weeks ago (edited) | [YT] | 3

Dr. Nancy Li - Director of Product

Product Managers → AI Product Managers

This shift is already happening.

Over 70% of companies are using AI in their daily operations.

More than half of recent VC funding is flowing into AI startups.

AI isn’t “the future.”
It’s the present.

Yet many experienced PMs still struggle with one question:

What does an AI Product Manager actually do — and how is it different from traditional PM?

Let’s break it down.


💡𝐖𝐡𝐚𝐭 𝐢𝐬 𝐚𝐧 𝐀𝐈 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐫?
An AI Product Manager owns the development and deployment of AI-powered products.

At its core, the role sits at the intersection of three things:
- Business
- Data
- Technology

Unlike traditional PMs, AI PMs must go beyond feature delivery and deeply understand how data and models shape product outcomes.

The biggest difference?
Data is no longer an input — it’s the foundation.

💡 𝐖𝐡𝐚𝐭 𝐝𝐨𝐞𝐬 𝐚𝐧 𝐀𝐈 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐫 𝐝𝐨 𝐝𝐚𝐲-𝐭𝐨-𝐝𝐚𝐲?

If you look at real AIPM job descriptions, clear patterns emerge:

1️⃣ Define AI product strategy & vision

AI strategy moves faster than traditional product strategy. New models, tools, and competitors emerge constantly. AI PMs must balance short-term adaptability with long-term vision.

2️⃣ Own the end-to-end AI product lifecycle

From AI hypothesis → MVP → launch → scaling.
This includes validating whether AI is a must-have, nice-to-have, or not needed at all.

3️⃣ Make data-driven decisions

Sometimes you build models with data scientists.
Sometimes you integrate existing LLMs.
Either way, AI PMs are accountable for model performance and outcomes.

4️⃣ Lead cross-functional teams

AI PMs work closely with:
- data scientists
- AI/ML engineers
- designers
- legal & compliance teams

5️⃣ Define AI-suitable problem statements
Not every product needs AI.

There are typically three categories:
- Products that cannot function without AI (e.g. self-driving cars)
- Products that create entirely new experiences with AI (e.g. AI chatbots)
- Products that enhance existing workflows with AI features (e.g. smart predictions)

Choosing the wrong category is why most AI products fail.

6️⃣ Still do core PM work
Yes — AI PMs still write PRDs, prioritize backlogs, define MVPs, and own go-to-market strategy.

If users don’t adopt your product, the model doesn’t matter.

7️⃣ Ensure AI compliance & responsible use
Ethics, privacy, and compliance are no longer optional.

AI Product Management isn’t a niche anymore.

It’s quickly becoming the default evolution of product leadership.


If you’re ever thinking, “Do I need to pivot now?”

The answer is: the earlier, the better.

Want a clear, step-by-step path to break into AI Product Management?

I’m hosting a free AI PM workshop where I teach you 𝐡𝐨𝐰 𝐭𝐨 𝐛𝐞𝐜𝐨𝐦𝐞 𝐚𝐧 𝐀𝐈 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐫 𝐢𝐧 𝟗𝟎 𝐝𝐚𝐲𝐬 — even with no prior AI or PM experience.

👉 Jumpstart your AI PM career now: www.pmaccelerator.io/AIPM

#PMAccelerator #AIPMBootcamp

2 weeks ago | [YT] | 13

Dr. Nancy Li - Director of Product

Amazon cut 16,000 jobs — again.

When the news broke, we were in the middle of our AI PM Bootcamp Product Idea Pitch Day. My students and I were genuinely shocked.

And Amazon isn’t alone.

January marked the highest number of U.S. layoffs at the start of a year since 2009, led by tech and logistics.

If you’re worried you might be next, pause for a moment.

This isn’t the end. It's a reset.

𝐖𝐡𝐚𝐭 𝐭𝐨 𝐝𝐨 𝐫𝐢𝐠𝐡𝐭 𝐚𝐟𝐭𝐞𝐫 𝐚 𝐥𝐚𝐲𝐨𝐟𝐟?

Here’s a simple, practical playbook.

𝟏) 𝐓𝐚𝐤𝐞 𝐂𝐚𝐫𝐞 𝐨𝐟 𝐘𝐨𝐮𝐫𝐬𝐞𝐥𝐟 𝐅𝐢𝐫𝐬𝐭

Before anything else:
- Breathe. You’re not defined by a job title.
- Tell close contacts you’re okay — honesty builds support.
- Confirm details: last pay, benefits continuation, severance, references.

This part matters. You can’t focus on your next role if you’re running on empty.


𝟐) 𝐁𝐮𝐢𝐥𝐝 𝐚 𝐊𝐢𝐥𝐥𝐞𝐫 𝐑𝐞𝐬𝐮𝐦𝐞 𝐓𝐡𝐚𝐭 𝐆𝐞𝐭𝐬 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰𝐬

Your resume is your first impression — make it count.

Focus on three things:
✔ Results over responsibilities
✔ Clear metrics ("increased adoption by 40% in 6 months")
✔ A tight format recruiters can scan in 6–10 seconds


A strong structure looks like this:
- Headline + summary: Define who you are and what you do.
- Core achievements: Use bullet points with numbers.
- Skills + tools: Tailor to the role you want next.
- No fluff: Delete generic lines like "detail-oriented."

If your resume reads like a job description, it’s working against you.

At the end of the day, your resume is about how clearly you’re positioned in a crowded market.


𝟑) 𝐂𝐫𝐞𝐚𝐭𝐞 𝐚 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐏𝐨𝐫𝐭𝐟𝐨𝐥𝐢𝐨 𝐓𝐡𝐚𝐭 𝐒𝐞𝐥𝐥𝐬 𝐘𝐨𝐮𝐫 𝐒𝐤𝐢𝐥𝐥𝐬

Especially in product roles, resumes only tell half the story.

A portfolio shows your thinking, decision-making, and impact. Here’s how to build one quickly:

✅ Choose 3–5 projects
Focus on work where YOU drove outcomes — not vague team stuff.

✅ Tell why you did it
What problem were you solving?

✅ Show the process
Research → Strategy → Execution → Results

✅ Use visuals
Mockups, charts, flows — let people see your thinking.

Your portfolio doesn’t need to be perfect.

It needs to answer one silent question:
"Can this person move the business forward?"

𝟒) 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐋𝐢𝐤𝐞 𝐘𝐨𝐮𝐫 𝐉𝐨𝐛 𝐃𝐞𝐩𝐞𝐧𝐝𝐬 𝐎𝐧 𝐈𝐭 — 𝐁𝐞𝐜𝐚𝐮𝐬𝐞 𝐈𝐭 𝐃𝐨𝐞𝐬

✔ Reach out to past teammates
Ask for a quick call — no agenda necessary.

✔ Send value, not just "Hey, I’m job hunting."
Share an article, a thought, or feedback.

✔ Update LinkedIn
A thoughtful post about what you learned and where you’re heading invites opportunities.

𝟓) 𝐓𝐫𝐞𝐚𝐭 𝐓𝐡𝐢𝐬 𝐚𝐬 𝐚 𝐏𝐢𝐯𝐨𝐭, 𝐍𝐨𝐭 𝐚 𝐅𝐚𝐢𝐥𝐮𝐫𝐞

You still have your skills.

You still have your experience.

And you still control your next move.

👉 Need help creating your product portfolio in 14 days?

Join my FREE masterclass before the seats are gone.
www.pmaccelerator.io/masterclass

#PMAccelerator

2 weeks ago | [YT] | 15