Skills

Pm Career Growth

Help users navigate the path from junior product manager to executive leadership by...

Install

npx skills add RefoundAI/lenny-skills --skill pm-career-growth -g -a claude-code -y
Category
Design
Updated
4mo ago
License
MIT
Context cost
Lightabout 1,265 tokens
Runs scripts
No, instructions only

What it does

Help users navigate the path from junior product manager to executive leadership by focusing on ownership, cross-functional influence, and intentional career design.

PM Career Growth

Transition from task-executor to high-impact product leader by mastering influence, ownership, and strategic foresight.

Help the user with pm career growth using insights from 43 guests and posts across Lenny's Podcast and Newsletter.

How to Help

  1. Define the roadmap - Help the user treat their career as a product by defining success metrics and a multi-year growth strategy.
  2. Identify ownership gaps - Guide the user to find high-impact, neglected problems in their organization that they can take responsibility for.
  3. Audit influence skills - Evaluate the user's current relationship-building and communication styles to identify blockers to senior-level trust.
  4. Prepare for transitions - Provide tactical advice for navigating promotions, new domain pivots, or moving into executive leadership.

Core Principles

Accept Total Responsibility

Ben Horowitz: "What I was trying to get out in Good Product Manager, Bad Product Manager, was the job is fundamentally a leadership job. And it's a tricky leadership job because nobody is actually reporting to you."

Product leadership is defined by driving results without formal authority. You must accept total responsibility for whether the product works, regardless of team structure.

Prioritize Creative Velocity

Amjad Masad: "Typically, you're bottlenecked where your ideas are not fitting in because they need to be made and they need to be made quickly. Now, you open up that bottleneck. So now actually making things is a lot easier. Actually, you become limited by how fast you can generate ideas."

In the AI era, the bottleneck shifts from technical implementation to how quickly you can generate and refine high-impact ideas and product architectures.

Read the whole SKILL.md on GitHub

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