He saved OpenAI, invented the “Like” button, and built Google Maps: Bret Taylor on the future of careers, coding, agents, and more

Key takeaways

Brett Taylor shares his extensive background in tech, highlighting pivotal experiences that shaped his career.
AI is set to revolutionize coding and software development by providing tools that enhance productivity and automation.
The future of software lies in AI agents, which can perform tasks autonomously and improve customer engagement.
Founders should adopt tailored go-to-market strategies based on their product's fit within the buyer-user relationship.
Outcome-based pricing aligns the interests of software vendors and their clients, providing clarity on value delivered.
Integrating AI tools in education can personalize learning experiences and enhance student engagement.

Summary

Brett Taylor's Impactful Journey

Brett Taylor, a legend in the tech world, has been a CTO of Meta, co-CEO of Salesforce, chairman of OpenAI, and a co-creator of significant products like Google Maps and the 'Like' button. His journey through various roles illustrates a trajectory marked by innovation and success, emphasizing the balance between technical expertise and executive leadership. He shares valuable lessons from his early career, most notably the crucial product review that nearly derailed his career at Google, acting as a catalyst for the creation of Google Maps.

The Evolution of AI and Coding

In a sprawling discussion on the future of coding and AI, Brett explains how AI is reshaping the landscape, transitioning from manual coding to a more guided, intelligent approach. With tools like Cursor, engineers can produce software more efficiently, though challenges remain in ensuring quality and context in AI-generated coding. Brett strongly believes in the need for a profound understanding of systems thinking as engineers learn to interact with next-generation coding tools.

The Rise of AI Agents

Brett predicts a significant shift towards AI agents in business processes, arguing that AI will soon replace traditional SaaS applications. He discusses how AI agents can autonomously complete tasks, improving organizational efficiency and customer satisfaction. He compares this expected transformation in software delivery to the early days of computing when manual processes were streamlined significantly, leading to unprecedented productivity gains.

Lessons in Go-to-Market Strategy

Brett offers insights on go-to-market strategies that startups often misalign. He classifies successful strategies into developer-led, product-led, and direct sales approaches, emphasizing the need for founders to understand the purchasing dynamics within target companies. He argues that direct sales should see a resurgence in the AI space due to the complexity of buyer-user relationships.

Outcome-Based Pricing in AI

Brett advocates for an outcome-based pricing model, which aligns vendor incentives with customer goals. He outlines how this pricing strategy can transform enterprise software sales by ensuring that value is clearly measurable and tied directly to customer success, shifting from traditional usage metrics to defined outcomes.

Educational Implications of AI

In discussing the educational landscape, Brett touches on how AI tools can enhance learning experiences for children. He encourages parents to integrate AI into their children’s education effectively, teaching them to navigate and utilize these powerful tools to their advantage.

Show notes

Bret Taylor’s legendary career includes being CTO of Meta, co-CEO of Salesforce, chairman of the board at OpenAI (yes, during that drama), co-creating both Google Maps and the Like button, and founding three companies. Today he’s the founder and CEO of Sierra, an AI agent company transforming customer service. He’s one of the few people I’ve met who’s been wildly successful at every level—from engineer to C-suite executive to founder—and across almost every discipline, including PM, engineer, CTO, COO, CPO, CEO, and board member.

In this conversation, you’ll learn:

1. The brutal product review that nearly ended his Google career—and how that failure led to creating Google Maps

2. The question Sheryl Sandberg taught him to ask every morning (“What’s the most impactful thing I can do today?”) that transformed how he approached every role

3. The three AI market segments that matter

4. Why AI agents will replace SaaS products

5. His framework for knowing whose advice to actually listen to—and how that came in handy during the OpenAI board drama

6. The counterintuitive go-to-market strategy most AI startups get wrong

7. Sierra’s outcome-based pricing model that’s transforming how enterprise software is sold (and why every SaaS company should adopt it)

8. What he’s teaching his kids about AI that every parent should know

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Transcript: https://www.lennysnewsletter.com/p/he-saved-openai-bret-taylor

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My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/168905359/my-biggest-takeaways-from-this-conversation

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Where to find Bret Taylor:

• X: https://x.com/btaylor

• LinkedIn: https://www.linkedin.com/in/brettaylor/

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Where to find Lenny:

• Newsletter: https://www.lennysnewsletter.com

• X: https://twitter.com/lennysan

• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/

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In this episode, we cover:

(00:00) Introduction to Bret Taylor

(04:10) Bret’s early career and first major mistake

(08:24) The birth of Google Maps

(11:57) Lessons from FriendFeed and the importance of honest feedback

(31:30) The future of coding and AI’s role

(45:26) Preparing the next generation for an AI-driven world

(48:46) AI in education

(52:05) Business strategies in the AI market

(01:04:38) Outcome-based pricing in AI

(01:09:15) Productivity gains and AI

(01:17:35) Go-to-market strategies for AI products

(01:21:49) Lightning round and final thoughts

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Referenced:

• Marissa Mayer on LinkedIn: https://www.linkedin.com/in/marissamayer/

• “Lazy Sunday”—SNL: https://www.youtube.com/watch?v=sRhTeaa_B98

• Quip: https://quip.com/

• Sierra: https://sierra.ai/

• FriendFeed: https://en.wikipedia.org/wiki/FriendFeed

• Sheryl Sandberg on LinkedIn: https://www.linkedin.com/in/sheryl-sandberg-5126652/

• Jim Norris on LinkedIn: https://www.linkedin.com/in/halfspin/

• Paul Buchheit on X: https://x.com/paultoo

• Sanjeev Singh on LinkedIn: https://www.linkedin.com/in/sanjeev-singh-20a1b72/

• Barack Obama: https://www.obamalibrary.gov/obamas/president-barack-obama

• Oprah Winfrey: https://en.wikipedia.org/wiki/Oprah_Winfrey

• Ashton Kutcher: https://en.wikipedia.org/wiki/Ashton_Kutcher

• PayPal Mafia: https://en.wikipedia.org/wiki/PayPal_Mafia

• Sam Altman on X: https://x.com/sama

• Warren Buffett on X: https://x.com/warrenbuffett

• Unix: https://en.wikipedia.org/wiki/Unix

• Fortran: https://en.wikipedia.org/wiki/Fortran

• C: https://en.wikipedia.org/wiki/C_(programming_language)

• Python: https://www.python.org/

• Perl: https://www.perl.org/

• Rust: https://www.rust-lang.org/

• Eleven Labs: https://elevenlabs.io/

• The exact AI playbook (using MCPs, custom GPTs, Granola) that saved ElevenLabs $100k+ and helps them ship daily | Luke Harries (Head of Growth): https://www.lennysnewsletter.com/p/the-ai-marketing-stack

• Confluent: https://www.confluent.io/

• Databricks: https://www.databricks.com/

• Snowflake: https://www.snowflake.com

• Harvey: https://www.harvey.ai/

• Behind the founder: Marc Benioff: https://www.lennysnewsletter.com/p/behind-the-founder-marc-benioff

• Larry Summers’s website: https://larrysummers.com/

• AutoCAD: https://www.autodesk.com/products/autocad/overview

• Revit: https://www.autodesk.com/products/revit/

• The art and science of pricing | Madhavan Ramanujam (Monetizing Innovation, Simon-Kucher): https://www.amazon.com/Monetizing-Innovation-Companies-Design-Product/dp/1119240867

• Pricing your AI product: Lessons from 400+ companies and 50 unicorns | Madhavan Ramanujam: https://lenny.substack.com/p/pricing-and-scaling-your-ai-product-madhavan-ramanujam

• Cursor: https://cursor.com/

• CodeX: https://openai.com/codex/

• Claude Code: https://www.anthropic.com/claude-code

• The rise of Cursor: The $300M ARR AI tool that engineers can’t stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell

• DirecTV: https://www.directv.com/

• SiriusXM: https://www.siriusxm.com/

• Wayfair: https://www.wayfair.com/

• Akai: https://www.akaipro.com/

• Chubbies Shorts: https://www.chubbiesshorts.com/

• Weight Watchers: https://www.weightwatchers.com/

• CLEAR: https://www.clearme.com/

• Stripe: https://stripe.com/

• Building product at Stripe: craft, metrics, and customer obsession | Jeff Weinstein (Product lead): https://www.lennysnewsletter.com/p/building-product-at-stripe-jeff-weinstein

• Twilio: https://www.twilio.com/

• ServiceNow: https://www.servicenow.com/

• Adobe: https://www.adobe.com/