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The Engineering Leadership Podcast

The Engineering Leadership Podcast

Written by: The Engineering Leadership Community (ELC)
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We share the most critical perspectives, habits & examples of great software engineering leaders to help evolve leadership in the tech industry. Join our community of software engineering leaders @ www.sfelc.com!327413 Economics Management Management & Leadership
Episodes
  • Inside ELC’s 1st Hackathon: Deconstructing the operational playbook, implementation lessons & future of the program w/ James Tyack #244
    Jan 13 2026

    It started with a simple idea from James Tyack: “What if we hosted a hackathon at ELC Annual?” The result was a unique experiment where 14 senior engineering leaders stepped away from strategy to build and ship functioning apps in one weekend, unlocking new insights on AI-native workflows, "vibe coding," and the future of engineering. In this episode, we deconstruct the entire hackathon operational playbook, sharing lessons on everything from “best failure awards” and async collaboration structures to structuring ideation periods for maximum business alignment. Beyond the logistics, we explore how getting hands-on helped these leaders overcome imposter syndrome and why "rolling up your sleeves" is now a prerequisite for leading effective engineering teams. Plus, James shares how he plans to evolve the hackathon format at ELC and beyond. If you’ve been curious about leveraging hackathons to drive innovation, expose your team to new tools, or evolve how your org builds, this episode provides the blueprint for successful implementation.

    ABOUT JAMES TYACK

    James is an engineering manager with a passion for people, technology, and learning. He's built and led distributed, diverse teams of engineers across locations and timezones for 10 years. James believes strongly in the value of diversity and championing a sense of belonging for everyone, from day 1. He's well versed in growth strategy, chaos engineering, major incident response, and blameless practice, and culture grounded by trust and psychological safety. He leads the Growth Acquisition team at Coursera where he's proud to be part of an organization that's transforming lives through learning. Previously, James enjoyed building and leading the Growth and Integrations engineering teams at PagerDuty.

    This episode is brought to you by Span!

    Span is the AI-native developer intelligence platform bringing clarity to engineering organizations with a holistic, human-centered approach to developer productivity.

    If you want a complete picture of your engineering impact and health, drive high performance, and make smarter business decisions…

    Go to Span.app to learn more!

    SHOW NOTES:
    • The results of ELC’s first-ever hackathon: 14 leaders shipping fully functional apps (2:21)
    • The “Scrappy” beginning: Extending the invitation and early community engagement (4:50)
    • The most surprising insights: Problem solving for “life outside of work” and micromanaging AI agents (5:42)
    • Navigating the shifting boundaries between product, engineering, and management roles (8:43)
    • James’ personal journey: Building 5 apps in 5 hours to stay relevant and relatable (10:05)
    • Deconstructing the Hackathon structure: The “Take-Home Assignment” approach (16:16)
    • The Hall of Fame: Creating artifacts to recognize contribution (18:00)
    • Iterating on the format: Pivots made for the next hackathon iteration at Coursera (18:47)
    • The importance of a 2-week ideation period for alignment (20:59)
    • A recap of the playbook: Seeding ideas, easy tooling, and safe deployment (22:15)
    • The future of hackathons: Cross-functional participation beyond engineering (26:46)
    • Rapid Fire Questions (28:15)

    This episode wouldn’t have been possible without the help of our incredible production team:

    Patrick Gallagher - Producer & Co-Host

    Jerry Li - Co-Host

    Noah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/

    Dan Overheim - Audio Engineer, Dan’s also an avid 3D printer - https://www.bnd3d.com/

    Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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    33 mins
  • What is leadership in the AI Era? w/ Bill Coughran & Bret Reckard #243
    Jan 6 2026

    This is a special episode, highlighting a session from ELC Annual 2025! Bill Coughran (Partner @ Sequoia Capital & former SVP of Engineering @ Google) and Bret Reckard (Talent Partner @ The General Partnership) deconstruct the evolving role of engineering leadership in an era dominated by AI hype. Bill is a legendary leader who joined Google right after the .com bubble and has seen every major industry shift since. Drawing on his experience scaling Google and advising world-class startups, Bill shares why the best leaders are "catastrophic thinkers," how to balance servant leadership with the need for decisive action, and why AI is forcing every leader to return to their technical roots. Plus they cover enduring companies and real value capture in the AI era, the nuances of organizational design, the "apprentice model" for mentorship and the dangers of over-layered hierarchies that stifle speed. Bill also provides a candid look at leadership transitions, offering a tactical guide for those moving from Big Tech to early-stage startups.

    ABOUT BILL COUGHRAN

    Bill Coughran works as a founders' coach and partner at Sequoia Capital to help build spectacular technology-centric companies. Previously, Bill was Senior Vice President of Engineering at Google with oversight of Chrome, YouTube, maps, google.com, underlying infrastructure systems, and security.

    ABOUT BRET RECKARD

    Bret Reckard is Talent Partner at The General Partnership (TheGP), a hands-on venture firm working alongside ambitious founders in talent, engineering, go-to-market, and product. He leads TheGP’s Talent vertical, matching foundational leaders, early engineers, and key specialists across the portfolio. Before this role, Bret spent over a decade at Sequoia Capital leading Talent and Network, where he helped hundreds of founders at companies like Stripe, Confluent, Retool and DoorDash build their early teams.

    This episode is brought to you by Span!

    Span is the AI-native developer intelligence platform bringing clarity to engineering organizations with a holistic, human-centered approach to developer productivity.

    If you want a complete picture of your engineering impact and health, drive high performance, and make smarter business decisions…

    Go to Span.app to learn more!

    SHOW NOTES:
    • Introduction and Bill Coughran's background at Sequoia and Google (1:36)
    • Hiring pitfalls and the biggest mistakes made as a leader (3:49)
    • Managing crises: Acting as a dictator during the 2010 Google hack (5:25)
    • Building for the AI world without chasing "shiny objects" (7:09)
    • Developing context: How to learn AI without relying on LLM summaries (9:02)
    • Identifying enduring companies and real value capture in the AI era (10:53)
    • The debate on coding assistants and the future of junior engineering talent (13:23)
    • Transitions: Making the leap from large organizations to early-stage startups (15:59)
    • Staying curious and finding excitement in the next professional challenge (18:23)

    LINKS AND RESOURCES
    • Link to the video for this session
    • Link to all ELC Annual 2025 sessions

    This episode wouldn’t have been possible without the help of our incredible production team:

    Patrick Gallagher - Producer & Co-Host

    Jerry Li - Co-Host

    Noah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/

    Dan Overheim - Audio Engineer, Dan’s also an avid 3D printer - https://www.bnd3d.com/

    Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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    21 mins
  • From Research Lab to Record-Breaking Product: How OpenAI Engineered for Unprecedented Scale w/ Sulman Choudhry, Samir Ahmed & Lawrence Bruhmeller #242
    Dec 30 2025
    This is a special episode, highlighting a session from ELC Annual 2025! OpenAI evolved from a pure research lab into the fastest-growing product in history, scaling from 100 million to 700 million weekly users in record time. In this episode, we deconstruct the organizational design choices and cultural bets that enabled this unprecedented velocity. We explore what it means to hire "extreme generalists," how AI-native interns are redefining productivity, and the real-time trade-offs made during the world's largest product launches. Featuring Sulman Choudhry (Head of ChatGPT Engineering) and Samir Ahmed (Technical Lead), moderated by Lawrence Bruhmeller (Eng Management @ Sigma). ABOUT SULMAN CHOUDHRYSulman leads ChatGPT Engineering at OpenAI, driving the development and scaling of one of the world’s most impactful AI products. He pushes the boundaries of innovation by turning cutting‑edge research into practical, accessible tools that transform how people interact with technology. Previously at Meta, Sulman founded and scaled Instagram Reels, IGTV, and Instagram Labs, and helped lead the early development of Instagram Stories.He also brought MetaAI to Instagram and Messenger, integrating generative AI into experiences used by billions. Earlier in his career, Sulman was on the founding team that built and launched UberEATS from the ground up, helping turn it into a global food delivery platform. With a track record of marrying technical vision, product strategy, and large‑scale execution, Sulman focuses on building products that meaningfully change how people live, work, and connect.ABOUT SAMIR AHMEDSamir is the Technical Lead for ChatGPT at OpenAI, where he currently leads the Personalization and Memory efforts to scale adaptive, useful, and human-centered product experiences to over 700 million users. He works broadly across the OpenAI stack—including mobile, web, services, systems, inference, and product research infrastructure.Previously, Samir spent nine years at Snap, working across Ads, AR, Content, and Growth. He led some of the company’s most critical technical initiatives, including founding and scaling the machine learning platform that powered nearly all Ads, Content, and AR workloads, handling tens of billions of requests and trillions of inferences daily.ABOUT LAWRENCE BRUHMELLERLawrence Bruhmuller has over 20 years of experience in engineering management, much of it as an overall head of engineering. Previous roles include CTO/VPE roles at Great Expectations, Pave, Optimizely, and WeWork. He is currently leading the core query compiler and serving teams at Sigma Computing, the industry leading business analytics company.Lawrence is passionate about the intersection of engineering management and the growth stage of startups. He has written extensively on engineering leadership (https://lbruhmuller.medium.com/), including how to best evolve and mature engineering organizations before, during and after these growth phases. He enjoys advising and mentoring other engineering leaders in his spare time.Lawrence holds a Bachelors and Masters in Mathematics and Engineering from Harvey Mudd College. He lives in Oakland, California, with his wife and their three daughters. This episode is brought to you by Span!Span is the AI-native developer intelligence platform bringing clarity to engineering organizations with a holistic, human-centered approach to developer productivity.If you want a complete picture of your engineering impact and health, drive high performance, and make smarter business decisions…Go to Span.app to learn more! SHOW NOTES:From research lab to record-breaking product: Navigating the fastest growth in history (4:03)Unpredictable scaling: Handling growth spurts of one million users every hour (5:20)Cross-stack collaboration: How Android, systems, and GPU engineers solve crises together (7:06)The magic of trade-offs: Aligning the team on outcomes like service uptime vs. broad availability (7:57)Why throwing models "over the wall" failed and how OpenAI structures virtual teams (11:17)Lessons from OpenAI’s first intern class: Why AI-native new grads are crushing expectations (13:41)Non-hierarchical culture: Using the "Member of Technical Staff" title to blur the lines of expertise (15:37)AI-native engineering: When massive code generation starts breaking traditional CI/CD systems (16:21)Asynchronous workflows: Using coding agents to reduce two-hour investigations to 15 minutes (17:35)The mindset shift: How rapid model improvements changed how leaders audit and trust code (19:00)Predicting success: "Vibes-based" decision making and iterative low-key research previews (20:43)Hiring for high variance: Why unconventional backgrounds lead to high-potential engineering hires (22:09) LINKS AND RESOURCESLink to the video for this sessionLink to all ELC Annual 2025 sessions This episode wouldn’t have been possible without the help of our incredible production team:Patrick ...
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    25 mins
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