Help users identify unique distribution advantages and master the lifecycle of acquisition channels to build a sustainable engine for growth and retention.
日本語の概要は準備中です。原文の説明を表示しています。
Help users navigate the end-to-end negotiation process for product and engineering roles, from initial recruiter calls to evaluating startup equity and final offer signing.
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Master the art of benchmarking, intelligence gathering, and collaborative negotiation to maximize your total rewards.
Help the user with negotiating tech compensation using insights from 1 guests and posts across Lenny's Podcast and Newsletter.
From "The 10 commandments of salary negotiation": "Every recruiter worth their salt will ask about your salary expectations when you first start interviewing. Do not — I repeat, do not — give them a number. What to do instead: Ask for the range they’re budgeted for the role."
Start the negotiation during initial interviews by asking for the budgeted salary band instead of providing your own expectations.
From "How much product managers make in the U.S., Europe, and Canada": "At Tesla, Microsoft, Nvidia, Apple, Meta, Google, and Netflix (the Magnificent 7), the starting base salary for a (non-APM) PM is $136,000, $156,000, $158,000, $158,000, $167,000, $199,000, and $343,000, respectively. Netflix and Tesla are low on equity, while Meta, Google, and Nvidia are quite high."
Identify if a company uses a high-cash model like Netflix or a high-equity model like Google to tailor your negotiation requests.
From "How much product managers make in the U.S., Europe, and Canada": "The biggest salary jump happens going from L4 to L5 and M3 to M4. And then from VP to CPO."
Identify the 'jump' levels in standard frameworks, such as reaching L5 Senior, where you have the most leverage for a significant pay increase.
From "How much do U.S. product managers really make?": "You shouldn’t have to rise into management in order to increase your compensation. You’re equally or just as valuable not as a manager [but] as a domain expert. And that’s step one, understand that you’re really, really, really valuable as an IC."
Use level-specific data to prove that your value as a specialized domain expert is equivalent to that of a manager when requesting higher base pay.
From "The 10 commandments of salary negotiation": "Initial offer comes in low: The team may have felt that you have a lot of “room for growth.” In this case, my advice is to dig deeper and ask the interviewer to share feedback from folks who met you to fix any misconceptions before you ever negotiate."
Understand where an initial offer sits within the company's internal salary band to determine if you should push for a higher starting point or address performance feedback.
From "The 10 commandments of salary negotiation": "Negotiating via email = MAJOR CRINGE and definitely a worse outcome. I know there are folks selling fill-in-the-blank templates out there. My advice if you want a meaningful/large increase is to have the conversation over the phone."
Avoid aggressive tactics and instead focus on building a collaborative relationship with your recruiter, ideally through phone discussions.
From "Why cash is king": "While some may feel pressure to prioritize equity for potential long-term gains, salary can also serve as a key driver of financial growth. An engineering manager at a publicly traded company making $225K-$250K in the U.S. explained, 'Bonuses were structured as percentages of base salary,' highlighting how a strong salary can amplify overall compensation through bonuses and raises."
Focus on the base salary because it sets a higher floor for all future roles and amplifies the value of percentage-based bonuses and raises.
See references/artifacts.md for the full list with details.
For all 12 sourced insights from 1 guests, see references/guest-insights.md
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概要と使いどころ
Help users identify unique distribution advantages and master the lifecycle of acquisition channels to build a sustainable engine for growth and retention.
日本語の概要は準備中です。原文の説明を表示しています。
Help users build functional product prototypes from natural language or visual mocks using AI coding tools. This skill enables product leaders to bypass engineering bottlenecks and validate ideas through hands-on building.
日本語の概要は準備中です。原文の説明を表示しています。
Help users build robust infrastructure for measuring, monitoring, and iterating on AI product performance using human, code-based, and LLM-as-a-judge methodologies.
日本語の概要は準備中です。原文の説明を表示しています。
Help users interact with probabilistic models by designing interfaces that manage fluidity, intent, and agency while maintaining trust and control.
日本語の概要は準備中です。原文の説明を表示しています。
Help users decide where to apply AI effectively, manage the transition from deterministic to probabilistic software, and build long-term defensibility through verticalization and proprietary data.
日本語の概要は準備中です。原文の説明を表示しています。
Help users convert massive volumes of qualitative and quantitative feedback into high-confidence product decisions through rigorous synthesis and internal immersion.
日本語の概要は準備中です。原文の説明を表示しています。