Google AI PM Director drops an AI PM Masterclass + Tutorial on Google's AI Tools

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Oct 22, 2025

Jaclyn Konzelmann, Director of AI Product at Google, shares her insights on becoming an AI product manager and the skills needed for success. She emphasizes the importance of understanding user needs and explores how AI transforms product building. Jaclyn demos Google's Nano Banana tool, showcasing creative workflows and advanced capabilities. She also offers practical resume tips and shares what Google seeks in AI PM candidates, advocating for a proactive approach to building a career in AI. This masterclass is packed with invaluable advice for aspiring PMs!

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INSIGHT

AI Transforms How We Build Products

AI accelerates product building by offering new tools and product types that didn't exist before.
That creates both unprecedented speed and overwhelming choice for builders.

ADVICE

Bring Clarity To Messy Zero‑To‑One Work

When building zero-to-one AI products, accept the messy early phase and bring clarity to chaos.
Focus teams by separating discomfort from being wrong and keep pushing toward a big vision.

INSIGHT

Chain Models To Create Novel Outputs

Advanced image/video workflows become possible by chaining specialized models and tools.
Jaclyn demonstrated turning a photo into an animated drone show using chained Google tools.

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I had a precious hour of a Google AI PM Director’s time. So, I extracted all the best insights about AI PM for you:

How to use Google’s latest AI tools like an insider

How to build great AI products

How to become an AI PM

And I didn’t hold back on the tough questions. And Jaclyn Konzelmann dropped an absolute masterclass.

You don’t want to miss her advice on AI PM resumes...

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Check out the conversation on Apple, Spotify and YouTube.

Brought to you by:

Vanta. Pendo. Linear Generic. Jira Product Discovery.

* Vanta: Leading AI security & compliance platform

* Pendo:

* Linear: Plan and build products like the best.

* Jira Product Discovery: Plan with purpose, ship with confidence

* LandPMJob: Land a PM Job with Aakash Gupta

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Key Takeaways

1. Nano Banana Understands World Models: Ask it to show Toronto in winter → adds snow. San Francisco in winter → no snow. The model knows SF doesn't get snow. This world knowledge unlocks creative workflows beyond basic image generation.

2. The Colorization Workflow: Use Gemini Pro to refine prompts → Focus on vibrant colors, lighting transformation, hyperrealistic detail, modern camera optics → Add negative prompts for failed iterations. "Keep playing around with things until you get it just right."

3. Chain Tools for Advanced Workflows: Photo → Imagen (reimagine as drone show) → Veo (animate the drones flying) → Result: Your pet as a living drone show with tail wagging. Access through AI Studio, Gemini app, or Mixboard.

4. Build AI Apps Without Code Using Opal: Describe what you want in natural language → Opal writes the prompt chains → Customize models and outputs → Share publicly. Examples: Resume critique tool, nature collage generator, custom storybook maker.

5. The Anatomy of an Agent Framework: Every AI agent has 3 components - Models (text/image/video capabilities), Tools (APIs, search, UI actions), Memory (what to remember, personalization strategy). Define these before writing code or PRDs.

6. The User Interaction Spectrum: Every AI product falls on "Do it FOR me" (Deep Research, Audio overviews that run and return) vs "Do it WITH me" (vibe coding, interactive experiences).

7. The Inverted Triangle: Think Big, Ship Fast: Think REALLY big → Use 3 levers to ship: Scope (ruthless MVP cuts), Positioning (beta/experiment labels), Audience (internal → trusted testers → public). Don't let process slow the vision.

8. Ask The Paradigm Shift Question: Are you building a faster horse or a car? Process-improving a workflow or creating an entirely new one? "The real value is the unlock on what's the new way things will get done."

9. The Future-Proofing Question: What happens when models get better? Real example: Mixboard threw out months of image editing work when Nano Banana launched with natural language editing.

10. Google's 6 Hiring Criteria for AI PMs: Exceptional product taste, visionary leadership (think 5 steps ahead), clarity in chaos, compelling product storytelling, full-spectrum execution (blended role profiles), deep AI intuition. Keep resume to 1 page, show actual work, design with personality.

11. The Side Project Strategy: Run 10 side projects simultaneously. Not to launch 10 products, but to think differently and connect dots.

12. Don't Get Precious About Ideas: Any single idea can get commoditized in weeks with AI. The skill isn't having one great idea—it's consistently generating good ideas.

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Where to Find Jaclyn Konzelmann

* X (Twitter)

* Linkedin

* Substack

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