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The Engineering Leadership Podcast

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The Engineering Leadership Podcast
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266 episodios

  • The Engineering Leadership Podcast

    Scaling TensorFlow, Navigating Startup Pivots, ML Edge Infrastructure and AI Inference Strategy w/ Rajat Monga #256

    28/04/2026 | 40 min
    Rajat Monga, CVP AI Frameworks @ Microsoft, joins the podcast to discuss his leadership and founder journey, from Google Brain / Tensorflow to inference.io and back to Microsoft. He dissects what it means to refound vs. start from scratch, the value of the open source community, and strategies for discovering what problem to solve when going the startup route. We also cover how to determine your users’ hidden incentives and what that means for both product development & marketing, along with navigating the balance between a product’s usefulness and consumers’ willingness to pay for it. Additionally, Rajat shares about what he’s currently up to at Microsoft and the emerging ML / AI technologies he’s most excited about.

     

    ABOUT RAJAT MONGA

    Rajat Monga is responsible for enabling an efficient AI stack at Microsoft from cloud to the edge. Before joining Microsoft, Rajat was founder and CEO of Inference.io, a smart analytics platform powered by AI. During his decade-long tenure at Google, he co-founded and led TensorFlow, and was a founding member of Google Brain. He’s built out and led many engineering teams, and designed large scale distributed systems including web scale crawling and eBay’s search engine. Rajat is a graduate of IIT Delhi.

     

    SHOW NOTES:

    Rajat’s journey with Google Brain: Scaling deep learning from single PCs to thousands of machines with Jeff Dean & Andrew Ng (2:57)

    Moving from Google Brain to TensorFlow: Why new hardware and architectures required a total system rebuild (6:02)

    The "refounding" question: Choosing between starting from scratch or evolving an existing system (8:33)

    Why Google open-sourced TensorFlow to set industry standards and avoid supporting external copies (10:16)

    How open-source enabled global innovation, from Japanese cucumber sorting to African plant health (12:02)

    Transitioning as a leader: Why Rajat left Google during the height of TensorFlow to found a company (13:57)

    The discovery phase at inference.io: Navigating the pivot from IoT into solving data analytics gaps (15:31)

    Lessons on PMF: Moving beyond a "useful" product to one that solves a truly critical customer pain point (16:52)

    Why habits are harder to change than technology and the challenge of competing with established workflows (21:02)

    Marketing strategies: Tailoring personas for top-down prestige versus bottom-up personal efficiency (23:19)

    Deciding when to stop: A founder’s framework for re-evaluating bets based on current knowledge (24:57)

    Rajat’s new role at Microsoft: Overseeing Edge infrastructure and large-scale Cloud AI inference (27:46)

    Dissecting ML edge strategy: Using ONNX Runtime to unify AI performance across Windows, iOS, and Android (30:02)

    Edge AI trends: Shifting from experimental models to production models optimized for cost and privacy (31:20)

    The future of Edge: How on-device processing will power AI in robotics, smart glasses, and wearables (33:23)

    Scaling inference: Treating multi-GPU clusters like a distributed operating system for AI models (34:25)

    Rapid fire questions (37:45)

     

    LINKS AND RESOURCES

    Epic Disruptions: 11 Innovations That Shaped Our Modern World - Innovation expert Scott Anthony masterfully weaves together the fascinating stories behind history's most transformative disruptions—from ninth-century China to twenty-first-century Silicon Valley. Through eleven pivotal innovations, including the printing press, mass-produced automobiles, the McDonald's revolutionary food system, and the iPhone, Anthony reveals the hidden patterns behind world-changing breakthroughs.

     

    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.
  • The Engineering Leadership Podcast

    How Enterprises Actually Win with AI: Operationalizing Responsible AI, Engineering Guardrails, Trust Controls, and Systems Thinking at Scale w/ Murali Swaminathan #255

    21/04/2026 | 44 min
    Enterprise customers demand 99.9% availability, regardless of how the underlying software is built. In this episode, Murali Swaminathan (CTO @ Freshworks) discusses how enterprises actually win with AI! We explore the “Architecture of Predictability” – proactive architectural safeguards to scale “responsible AI by design” across a global organization serving 75,000 customers. Murali shares his leadership playbook for implementing the technical safeguards and product trust controls that empower hundreds of engineers to build safely. We also dive into the shift from deterministic flowcharts to “workflows with a brain” and why backend systems engineers are the secret bedrock of agentic products. Plus, Murali deconstructs the dual evolution required of modern leaders: mastering strategic thinking at the business level while cultivating systems thinking at the engineering level.

     

    ABOUT MURALI SWAMINATHAN

    Murali Swaminathan joined Freshworks as Chief Technology Officer in September 2024. Murali is responsible for Freshworks’ technology roadmap and strategy, leading the company’s global engineering and architecture teams. With over 30 years of experience in software engineering, he has held leadership roles at ServiceNow, Recommind (now OpenText), and CA Technologies (now Broadcom), where he delivered scalable, secure solutions that enabled digital transformation and business agility. Murali holds a master’s degree in Software Engineering Management from Carnegie Mellon University and a bachelor’s degree in electronics and instrumentation from Annamalai University in India.

     

    SHOW NOTES:

    Freshworks' operating context: Engineering for 75,000 global customers (2:09)

    Navigating the tension between rapid AI adoption and enterprise-grade reliability (4:58)

    Breaking the "Positive Scenario" Trap: Using AI to automate negative test cases and corner-case detection (6:40)

    Why Responsible AI is a competitive advantage: Building "kill switches" and trust gates (8:31)

    Responsible AI by Design: Moving from reactive compliance to proactive architectural safeguards (10:48)

    Technical safeguards: Leveraging hyperscaler frameworks for model compliance and data anonymization (13:39)

    Product Trust Controls: Demonstrating reliability through role-based access and thresholds (16:25)

    Why engineering leaders should experiment in small teams before global rollout (20:35)

    Simulating Chaos: Using Business Continuity Planning (BCP) to test AI system resilience (22:13)

    Workflows with a brain: Transitioning from deterministic flows to agentic runtime decisions (24:16)

    The AI Team Profile: Why backend system engineers, not just data scientists, are the bedrock of agentic products (29:25)

    Cultivating a mindset shift toward agentic system orchestration (32:10)

    The shift to systems thinking: How engineering roles evolve from "building pieces" to managing end-to-end system flows (33:38)

    How to approach strategic business thinking as an engineering leader (36:43)

    Rapid Fire Questions: Guy Kawasaki’s "Think Remarkable" and the best way to predict the future (38:23)

     

    LINKS AND RESOURCES

    Think Remarkable: 9 Paths to Transform Your Life and Make a Difference - Tech titan and creator of the Remarkable People podcast Guy Kawasaki delivers a practical, tactical, and sometimes radical discussion of how to make a difference in the world and live a fulfilling life.

     

    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.
  • The Engineering Leadership Podcast

    Shifting Eng Leaders to Think Like GMs, Building an AI-Driven Visionary Roadmap & Braze’s Product Health Initiative w/ Jon Hyman #254

    07/04/2026 | 48 min
    Jon Hyman (CTO & Co-Founder @ Braze) returns to the podcast to share how he balances a mature, public-company roadmap with visionary AI innovation! We deconstruct Braze’s quantitative "Product Health" framework - a scoring system used to resolve competing prioritizations and mandate technical remediation. We also discuss shifting engineering leaders to think like GMs, how to realign teams by connecting abstract “vision” to specific releases, goals & outcomes. Plus, Jon’s three-tier mental model for AI products, how to identify AI features that actually drive revenue, and reimaging your product for future channels, teams, and skills.

     

    ABOUT JON HYMAN

    Jon Hyman is the co-founder and chief technology officer of Braze, the customer engagement platform that delivers messaging experiences across push, email, in-app, and more. He leads the charge for building the platform’s technical systems and infrastructure as well as overseeing the company’s technical operations and engineering team.

    Prior to Braze, Jon served as lead engineer for the Core Technology group at Bridgewater Associates, the world’s largest hedge fund. There, he managed a team that maintained 80+ software assets and was responsible for the security and stability of critical trading systems. Jon met cofounder Bill Magnuson during his time at Bridgewater, and together they won the 2011 TechCrunch Disrupt Hackathon. Jon is a recipient of the SmartCEO Executive Management Award in the CIO/CTO Category for New York. Jon holds a B.A. from Harvard University in Computer Science.

     

    This episode is brought to you by xMatters!

    xMatters automates the entire incident lifecycle with their purpose-built AI powered workflow, giving your team the context they need to stop disruptions before they start and minimize resolution times.

    Head over to xmatters.com to learn more!

     

    SHOW NOTES:

    Braze’s operating environment & key focus on product health / roadmap (2:58)

    What’s next for Braze: Research-driven innovation in the AI era (6:16)

    Ensuring customers utilize the full breadth of features (9:42)

    The "Swarming" strategy: Reducing engineering escalation tax through support collaboration (14:19)

    Shifting engineering leadership think like GMs: Moving from completion goals to business outcomes like revenue, growth rates & regional differences (17:29)

    How engineering leaders can increase business IQ by understanding margins and adoption (18:20)

    Deconstructing misalignment, the abstract nature of product vision, and connect teams to tangible business outcomes, goals, and specific releases (22:02)

    Management infrastructure: Quarterly product health reporting and trending metrics (23:20)

    Forming a mental model for company maturity, building a visionary roadmap, and more innovative engineering initiatives (25:34)

    Frameworks for AI Decision-Making: Identifying AI features that drive revenue vs. those that only improve stickiness (31:55)

    Reimagining your product based on different personas, new channels, “AI omniboxes”, and teams / skills of the future (35:44)

    Breaking down team silos, customer engagement as a shared responsibility, and the future of full-stack roles orchestrating outcome-based workflows & automations (41:50)

    Rapid fire questions (45:10)

     

    LINKS AND RESOURCES

    Everything is Tuberculosis by John Green: A historical look at how the disease has shaped the world

    braze.com

     

    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.
  • The Engineering Leadership Podcast

    Leading effectively across company archetypes: product, business and design-led leadership w/ Sebastiano Armeli #253

    31/03/2026 | 39 min
    We discuss what effective leadership looks like across three organizational archetypes: product-led, business-led, and design-led companies with Sebastiano Armeli (Engineering Leadership @ Meta). Drawing from his leadership journey at places like  Meta, Spotify, Snap, and PayPal, Sebastiano deconstructs the situational leadership frameworks required to thrive in different environments. Plus we discuss how AI is moving managers from implementation to architecture, why the next bottleneck is managing the overhead of high-velocity experimentation, and the future of team topology where AI enables a single leader to oversee high-scale teams of 30–50 people. Whether you are scaling a design-driven startup or navigating a complex business-led enterprise, this conversation provides a framework for aligning your leadership style with your organization's core incentives.

     

    ABOUT SEBASTIANO ARMELI

    Sebastiano Armeli is an engineering leader currently at Meta. He has previously served as a Director of Engineering at Upwork and held leadership roles at companies such as Pinterest, PayPal, Snap, and Spotify. His work has spanned diverse domains including shopping, crypto, messaging, video creation, and ads.

    Sebastiano is passionate about building healthy engineering cultures, mentoring the next generation of leaders, and supporting teams through periods of growth and change. He mentors engineering managers and senior engineers, enjoys speaking at conferences, and shares his perspectives on leadership in his Substack, The Healthy Engineering Leader. He also serves on the board of a community-owned grocery store.

    In all his work, Sebastiano takes a pragmatic, people-first approach to leadership, focusing on clarity, continuous improvement, and long-term impact.

     

    This episode is brought to you by xMatters!

    xMatters automates the entire incident lifecycle with their purpose-built AI powered workflow, giving your team the context they need to stop disruptions before they start and minimize resolution times.

    Head over to xmatters.com to learn more!

     

    SHOW NOTES:

    Deconstructing company archetypes: A framework for product-led organizations (2:03)

    Strategic leadership practices for succeeding in product-first cultures (7:33)

    Leveraging data and business metrics to influence product strategy (9:35)

    Case Study: The story and leadership lessons behind building Spotify’s Ad Studio (11:12)

    Rapid prototyping: Applying a hackathon mindset to product development (13:16)

    How AI is reshaping product-led orgs: Clearing the feature backlog, scaling experimentation and velocity (16:01)

    Balancing iteration velocity and product quality with AI (18:12)

    Sebastiano’s observations on effective leadership in business led orgs (19:49)

    Design-led dynamics: Anticipating the impact of AI on creative-first orgs (23:24)

    Maintaining engineering excellence within design-driven constraints (25:40)

    Cultivating high-alignment, valuable design partnerships (27:01)

    The role of metrics and data in design-focused decision making (28:33)

    Emerging AI capabilities enhancing leadership leverage (31:16)

    Scaling management: The potential for 30-50 person teams via AI assistance (33:58)

    The ethical imperative: Adopting AI responsibility within engineering teams (35:53)

    Rapid fire questions (37:12)

     

    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.
  • The Engineering Leadership Podcast

    Changes in engineering management craft, career growth and all hands demos for inspiration and context w/ Lindsey Simon #252

    24/03/2026 | 45 min
    Live from the Vercel recording studio, Lindsey Simon (VP Engineering @ Vercel) joins us to deconstruct the evolution of management craft and career growth strategies! We dissect the practice of live all-hands demos as a tool for context, accountability and inspiration. Plus, Lindsey’s "vote with your wallet" framework for career strategy, how Lindsey’s open source project inspired him to apply to Vercel, and why the most effective VPs are building hobby projects to maintain AI competency and empathy for non-technical users.

     

    ABOUT LINDSEY SIMON

    Lindsey Simon is VP of Engineering at Vercel. Making the Web better has been his lifelong career ambition. Prior to Vercel, Lindsey spent seven years at Google, where he helped launch App Engine as an original core team member, and worked as a tech lead on the Google Translate and Web Performance teams. Lindsey has lived in San Francisco for the past 15 years, and his creative hobbies (beyond coding) include writing music and hunting for wild mushrooms.

     

    This episode is brought to you by xMatters!

    xMatters automates the entire incident lifecycle with their purpose-built AI powered workflow, giving your team the context they need to stop disruptions before they start and minimize resolution times.

    Head over to xmatters.com to learn more!

     

    SHOW NOTES:

    The evolution of Vercel’s all hands to demo days: using live show-and-tell to maintain context and inspire the team (2:4p)

    Accountability for what’s real: Why live visual demos help engineering teams with real-time workflow adjustments (4:36)

    Strategies for creating a successful live visual demo without over-rehearsing (6:20)

    Lindsey’s career inflection point: Navigating the transition from a large ecosystem at Salesforce to a mission-driven startup (10:08)

    Career advice: Vote with your wallet and go somewhere with pre-existing PMF that feeds your ambition (12:33)

    The "Janitor" Mindset: Why prioritizing the company’s mission over a specific job title can lead to unique opportunities (14:36)

    How Lindsey’s open source hobby project led to a code-first interaction with @ Vercel (19:17)

    Vercel’s "Dig Deep" value: Breaking down the company culture and the importance of technical support for developers (21:26)

    Standing out in the interview process: Why managers must bring a strong "Point of View" on what a company should do differently (23:51).

    The Swiss Army Knife Manager: Why today's leaders must also be salespeople, PMs, and customer support engineers (24:46).

    The death of pure "people management": Re-centering on the IC craft and why managers must maintain AI competency (26:12).

    Adopting better IC skills: Building hobby projects for non-technical users to maintain empathy for the user experience (28:33)

    Management principles that remain true today (32:54)

    Combatting imposter syndrome: Building trust by being vulnerable and learning alongside your team (36:45).

    Interviewing trends: Assessing how candidates operate with and without AI tools (38:05).

    The return of "In Real Life" work: Why the Bay Area culture is refocusing on "sweating the details" in person (39:15)

    Rapid fire questions (41:33)

     

    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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