Prompt Engineering for Next Level Product Management

Lightning Lessons

Practical skills & tools to accelerate your career

The AI-Powered Super IC

Prompt Engineering for Next Level Product Management

Hosted by Nate B Jones

Wed, May 14, 2025

10:00 PM UTC (30 minutes)

Virtual (Zoom)

Free to join

Learn directly from undefined

By continuing, you agree to Maven's Terms and Privacy Policy.

397 students

By continuing, you agree to Maven's Terms and Privacy Policy.

Invite your network

Go deeper with a course

AI Career Accelerator

Nate Jones

View syllabus

Wed, May 14, 2025

10:00 PM UTC (30 minutes)

Virtual (Zoom)

Free to join

397 students

Invite your network

Go deeper with a course

AI Career Accelerator

Nate Jones

View syllabus

What you'll learn

Craft High-Impact Prompts

Explore science of structuring prompts to unlock AI’s most powerful responses for product ideation, UX research, & more

Iterate Quickly for Optimal Results

Develop a systematic approach to refining your prompts—learn how to test, analyze, and improve AI outputs in minutes

Identify the Right Use Cases

Pinpoint high ROI opportunities for AI within your product lifecycle, from customer insights to feature prioritization

Scale Prompt Engineering Across Teams

Discover frameworks and collaboration techniques to help your entire organization benefit from AI-driven workflows

Why this topic matters

Prompt engineering is emerging as a must-have skill for product leaders looking to differentiate in crowded markets. By learning how to prompt AI correctly, PMs can tap into advanced AI expertise to generate creative ideas, validate hypotheses, and automate repetitive tasks. This session equips you with the tools to 10x your impact—harnessing AI to drive smarter, faster decisions at every stage.

You'll learn from

Nate B Jones

15+ yrs in tech, AI builder, tech career coach, ex-founder, seed > Amazon scale

More than 15 years have gone by. Filled with building, leading product teams, and even founding: from seed to Amazon-scale.

I got to play with NLP models before LLM's. Have deployed computer vision models at Amazon, and have been messing around and shipping with LLM's since they first came out.

I'm doing this Lightning Lesson because I think most of us are drowning in AI tools and news and we desperately need a strategic compass for the AI landscape ahead.

You can check out a much deeper dive on AI and tech careers in my AI Career Accelerator course coming in January of 2025.

Coached Tech Leaders at