From managing people to managing AI: The leadership skills everyone needs now | Julie Zhuo

From managing people to managing AI: The leadership skills everyone needs now | Julie Zhuo

Lenny's PodcastSep 21, 20251h 36m

Lenny Rachitsky (host), Julie Zhuo (guest), Narrator, Narrator

How traditional management skills translate to working with AI agents and modelsOrg flattening, role dissolution, and the rise of small, high-impact “builder” teamsJulie’s shift from design leadership at Meta to founding AI analytics startup SundialUsing data effectively: “diagnose with data, treat with design”Timeless management fundamentals for new and experienced managersGiving and receiving feedback as a daily performance acceleratorParenting, emotional regulation, and personal growth in an AI-saturated world

In this episode of Lenny's Podcast, featuring Lenny Rachitsky and Julie Zhuo, From managing people to managing AI: The leadership skills everyone needs now | Julie Zhuo explores managing AI Like People: Julie Zhuo’s Blueprint for Future Leaders Julie Zhuo argues that the core skills of great management—setting clear goals, understanding strengths, and designing effective processes—map directly onto managing AI models and agents.

Managing AI Like People: Julie Zhuo’s Blueprint for Future Leaders

Julie Zhuo argues that the core skills of great management—setting clear goals, understanding strengths, and designing effective processes—map directly onto managing AI models and agents.

She describes how AI is flattening organizations, shrinking team sizes, dissolving rigid roles, and turning everyone into broader “builders” who lean on AI to do more of the work themselves.

Drawing on her journey from Meta’s head of design to founder of AI analytics startup Sundial, Julie explains how to “diagnose with data and treat with design,” and why most fast-growing AI companies are still underusing data.

She also shares timeless management advice on self-awareness, feedback, emotional regulation, and leading through rapid change, framing modern leadership as being “sturdy while flexible” like a willow tree.

Key Takeaways

Managing AI is still management: define outcomes, know strengths, design processes.

Julie frames AI as a new kind of resource: instead of only assembling teams of people with specific skills, leaders now also assemble models and tools with different strengths. ...

Get the full analysis with uListen AI

Org structures are flattening; everyone is becoming a broader “builder.”

AI lets individuals cover multiple traditional roles (design, coding, analysis) to a solid level, reducing the need for large, specialized teams. ...

Get the full analysis with uListen AI

Clarify success with ruthless precision—or your AI and your team will flail.

The hardest, most valuable skill for both managers and AI users is defining success in unambiguous terms. ...

Get the full analysis with uListen AI

Use data to find the problem, not to dictate the solution.

Julie’s mantra is “diagnose with data, treat with design”: data (quantitative and qualitative) helps you understand reality, spot issues, and locate opportunities, but it cannot tell you what to build. ...

Get the full analysis with uListen AI

Fast-growing AI companies are often flying blind on data.

Because AI products can scale insanely fast with tiny teams, many hot companies lack mature logging, instrumentation, and observability. ...

Get the full analysis with uListen AI

Your strengths are also your weaknesses—and vice versa.

Julie uses a “dimensionality” model: everyone has infinite skill dimensions, where each strength has a shadow weakness (e. ...

Get the full analysis with uListen AI

Feedback should be a daily practice, not a twice‑a‑year ritual.

Teams that compound even 1% weekly improvement outperform those that don’t improve. ...

Get the full analysis with uListen AI

Notable Quotes

You want to diagnose with data and treat with design.

Julie Zhuo

It used to be people, but now it's basically models, and different models have different strengths. You kind of have to assemble the Avengers.

Julie Zhuo

We need to dissolve the boundaries of these traditional roles and call ourselves builders.

Julie Zhuo

Today, management is really about this idea of be sturdy while being flexible. I think about this metaphor a lot of the willow tree.

Julie Zhuo

Every strength is its own weakness, and every weakness is a strength.

Julie Zhuo

Questions Answered in This Episode

If every knowledge worker essentially becomes a “manager of agents,” what new failure modes and ethical risks does that introduce?

Julie Zhuo argues that the core skills of great management—setting clear goals, understanding strengths, and designing effective processes—map directly onto managing AI models and agents.

Get the full analysis with uListen AI

How should ambitious PMs, designers, and engineers reshape their careers in a world where small, AI-augmented teams replace large, specialized orgs?

She describes how AI is flattening organizations, shrinking team sizes, dissolving rigid roles, and turning everyone into broader “builders” who lean on AI to do more of the work themselves.

Get the full analysis with uListen AI

Where is the line between healthy reliance on AI for learning and analysis versus outsourcing too much thinking and dulling human judgment?

Drawing on her journey from Meta’s head of design to founder of AI analytics startup Sundial, Julie explains how to “diagnose with data and treat with design,” and why most fast-growing AI companies are still underusing data.

Get the full analysis with uListen AI

How can fast-growing AI startups practically build strong observability and analytics without slowing their pace of experimentation?

She also shares timeless management advice on self-awareness, feedback, emotional regulation, and leading through rapid change, framing modern leadership as being “sturdy while flexible” like a willow tree.

Get the full analysis with uListen AI

What concrete practices can managers adopt to stay emotionally sturdy yet flexible as AI accelerates change and uncertainty in their teams’ work?

Get the full analysis with uListen AI

Transcript Preview

Lenny Rachitsky

(tense music) We're seeing this kind of flattening of orgs. Everyone's becoming an IC again.

Julie Zhuo

It used to be, okay, I don't have the skills to do 10 different jobs, but now with AI, it allows me to do many of those jobs myself. We need to dissolve the boundaries of these traditional roles and call ourselves builders. I'd love first to get to a world where that's the title.

Lenny Rachitsky

I also just saw a stat, Google let go of so many of their middle managers.

Julie Zhuo

Management is still really critical. You have a North Star, you have a vision, and you're just trying to figure out how to use the resources that you have to get that thing done. It used to be people, but now it's basically models, and different models have different strengths. You kind of have to assemble the Avengers so that you can use the right tools for the right purposes.

Lenny Rachitsky

What do you feel is the biggest change in the role in life of a manager these days?

Julie Zhuo

It's always been manager's job to manage change. I just think the rate of change is accelerating. Today, management is really about this idea of be sturdy while being flexible. So I think about this metaphor a lot of the willow tree. It can survive a lot of storms, disasters, et cetera, but it's also very flexible.

Lenny Rachitsky

You have such an interesting trajectory from being head of design to now being obsessed with data and analytics.

Julie Zhuo

You want to diagnose with data and treat with design. Data is not a tool that's going to tell you what you should build. I don't actually think a lot of the fast-growing companies are using data well at this point. Traditionally, things just didn't grow that fast. These companies are totally getting by on just good instincts and good vibes, but what always happens is eventually, things stop growing.

Lenny Rachitsky

(instrumental music) Today, my guest is Julie Zhuo. Julie was my first ever guest on this podcast, which I recorded over three years ago, so this is a very special conversation. As I've shared many times before in other places, Julie's newsletter, The Looking Glass, was the inspiration for my newsletter, and basically led to everything that I do now. If you're not familiar with Julie, she was the longtime head of design for the Facebook app used by over three billion people. She's also the author of the bestselling and very important book, The Making of a Manager. And most recently, she started her own company, Sundial, which is an AI-powered analyst used by companies like OpenAI, Gamma, and Character.AI. Julie is one of the most thoughtful and insightful product leaders that I've ever come across, and she's also got one of the most interesting perspectives on product building. Having worked at a mega large corp like Meta as head of design and now as a founder at a tiny startup that's all about using data to help you make decisions, it's really rare for someone to have this spectrum of experiences. In our conversation, we talk about how learning to be a great manager directly translates to learning how to use AI tools extremely well, which specific skills will become more valuable in the next couple of years, her most valuable and timeless advice for new managers, why she's not hiring product managers at her startup, her simple heuristic for knowing when to use data and when to use intuition in making decisions. There's something in this episode for everyone. And if you enjoy this podcast, don't forget to subscribe and follow it in your favorite podcasting app or YouTube. It helps tremendously. And if you become an annual subscriber of my newsletter, you get 15 incredible products for free for an entire year, including Lovable, Replit, Bolt, N8n, Linear, Superhuman, Descript, WhisperFlow, Gamma, Perplexity, Warp, Granola, Magic Patterns, Raycast, ChatBRD, and Mobben. Head on over to lennysnewsletter.com and click Product Pass. With that, I bring you Julie Zhuo. This episode is brought to you by Mercury. I've been banking with Mercury for years, and honestly, I can't imagine banking any other way at this point. I switched from Chase and holy moly, what a difference. Sending wires, tracking spend, giving people on my team access to move money around, so freaking easy. Where most traditional banking websites and apps are clunky and hard to use, Mercury is meticulously designed to be an intuitive and simple experience. And Mercury brings all the ways that you use money into a single product, including credit cards, invoicing, bill pay, reimbursements for your teammates, and capital. Whether you're a funded tech startup looking for ways to pay contractors and earn yield on your idle cash or an agency that needs to invoice customers and keep them current or an e-commerce brand that needs to stay on top of cash flow and access capital, Mercury can be tailored to help your business perform at its highest level. See what over 200,000 entrepreneurs love about Mercury. Visit mercury.com to apply online in 10 minutes. Mercury is a fintech, not a bank. Banking services provided through Mercury's FDIC-insured partner banks. For more details, check out the show notes. Today's episode is brought to you by DX, the developer intelligence platform designed by leading researchers. To thrive in the AI era, organizations need to adapt quickly, but many organization leaders struggle to answer pressing questions like, which tools are working? How are they being used? What's actually driving value? DX provides the data and insights that leaders need to navigate this shift. With DX, companies like Dropbox, Booking.com, Adyen, and Intercom get a deep understanding of how AI is providing value to their developers and what impact AI is having on engineering productivity. To learn more, visit DX's website at getdx.com/lenny. That's getdx.com/lenny. (instrumental music) Julie, thank you so much for being here, and welcome back to the podcast.

Install uListen to search the full transcript and get AI-powered insights

Get Full Transcript

Get more from every podcast

AI summaries, searchable transcripts, and fact-checking. Free forever.

Add to Chrome