The Engineering Leadership Podcast

In this episode, we’re joined by Eric Ries, creator of The Lean Startup, to discuss insights from his latest book, Incorruptible: Why Good Companies Go Bad… and How Great Companies Stay Great. Eric shares what inspired him to write the book and why we need to move beyond and redefine what true profit looks like. He shares the history behind businesses transitioning from serving public interests to shareholder primacy and why leaving behind a people-first business approach can actually reduce profitability. Additionally, Eric discusses financial gravity, the “harder is easier” principle, and how these practices connect to AI The Leader’s Guide; and The Startup Way. As a founder, he has put his own ideas into practice with The Long-Term Stock Exchange (LTSE); Answer.AI, an AI R Virgil, a legal services startup; and IMVU. On The Eric Ries Show, he talks with world-class technologists, thought leaders, and executives building for the long-term. He lives in the San Francisco Bay Area with his wife and three children.   Unblocked: The context engine your coding agents are missing. Give your coding agents the context your best engineers have. Your agents can read code, but they don’t know how your team works. Rules and MCPs give access to information but not understanding. That’s why you still have to tell them where to look and what to look for. Unblocked gives your agents the history, conventions, and decisions behind your code so they generate mergeable output without the back and forth. It automatically surfaces the right context for every task, so agents stay on track without the set up tax or the correction loops. getunblocked.com/elc   SHOW NOTES: The inspiration behind Eric’s new book Incorruptible (5:22) What it means to redefine profit (8:03) Understanding profit considerations like externality, ethics, and inputs (10:44) Why human life / value can never be an input factor of production (12:31) The history behind business practices benefitting the public (15:00) When businesses transitioned to shareholder primacy over public interest (17:16) Navigating the tens

In this episode, Geddes Munson (SVP of Engineering @ Affirm) joins us to discuss operational / engineering excellence, scaling, and AI-native transformation! We explore Affirm’s approach to operational and engineering excellence and how a 2024 outage became a turning point in refining that focus. We deconstruct “AI retooling week”, the internal tools it inspired (including an incident tracing system), how the AI-native transition is impacting operational / engineering excellence, and how to connect these projects to business goals. Plus, we take a look at their early work building in agentic commerce, infrastructure decisions they made years ago setting them up for success now, how they’re thinking about designing for agent-first experiences.   ABOUT GEDDES MUNSON Geddes Munson serves as Affirm’s SVP, Engineering. Previously, Geddes held several engineering leadership roles at Affirm, including oversight of the merchant engineering group, where he was responsible for the development of Affirm’s solutions for key partners including Amazon, Shopify and Walmart. Prior to Affirm, Geddes held various technical leadership roles at rapidly growing startups including Mixpanel, SingleStore and EasyPost. He received his B.A. from Haverford College, where he started the Linux club on campus. Geddes lives in New Jersey with his wife and three children.   Unblocked: The context engine your coding agents are missing. Give your coding agents the context your best engineers have. Your agents can read code, but they don’t know how your team works. Rules and MCPs give access to information but not understanding. That’s why you still have to tell them where to look and what to look for. Unblocked gives your agents the history, conventions, and decisions behind your code so they generate mergeable output without the back and forth. It automatically surfaces the right context for every task, so agents stay on track without the set up tax or the correction loops. getunblocked.com/elc   SHOW NOTES: Defining operational excellence & what it looks like @ Affirm (4:36) Understand why your company / product matters to your customers (8:11) Key pivot points around engineering excellence @ Affirm (11:10) Creating a genuine culture change of operational / engineering excellence (14:27) Adopting agentic models @ Affirm (16:30) Navigating the balance between transformation, safety & reliability (18:30) Affirm’s AI retooling week & hackathon setup (20:57) How the hackathon helped quickly change the company culture (23:15) Ensuring your

Andrew McNamara, Director of Applied Machine Learning @ Shopify, joins the ELC podcast to share insights on building agentic platforms at scale, like Sidekick, that must keep reliability for its users at the forefront. Andrew describes the building philosophy behind Shopify and what it means to cultivate a culture of prototype-first while prioritizing hiring early-stage talent. We cover Sidekick’s development journey and how user feedback impacted its product vision, why evaluation is so important for determining ground truth sets, and the benefit of user-driven use cases. Andrew also dissects how they went about making product design decisions, such as building proactive agents and identifying subagent specializations.   ABOUT ANDREW MCNAMARA Andrew McNamara is Director of Applied Machine Learning at Shopify, where he leads the team behind Shopify Sidekick, an AI co-founder that gives merchants access to the e-commerce expertise they need to run and grow their business. With 16 years of experience building AI assistants, he brings a rare combination of applied research depth and production-scale thinking to some of the hardest problems in AI: getting systems to work reliably for people who depend on them. Andrew's work pushes Shopify to measure AI quality by whether it achieves what the user set out to do, a core standard in building AI that merchants trust. Outside Shopify, he runs Setting North, a small Canadian maple syrup brand built on the same platform he helps make for everyone else.   Unblocked: The context engine your coding agents are missing. Give your coding agents the context your best engineers have. Your agents can read code, but they don’t know how your team works. Rules and MCPs give access to information but not understanding. That’s why you still have to tell them where to look and what to look for. Unblocked gives your agents the history, conventions, and decisions behind your code so they generate mergeable output without the back and forth. It automatically surfaces the right context for every task, so agents stay on track without the set up tax or the correction loops. getunblocked.com/elc   SHOW NOTES: How Shopify utilizes reflexive AI & Andrew’s building philosophy (2:38) Developing a prototype-first company culture (5:07) Andrew’s reflections on building AI-enabled projects like Sidekick at scale (7:25) Translating customer surveys into Sidekick’s product vision (9:34) Key inflection points while scaling out Sidekick (11:23) Strategies for evaluation / building a ground truth set (13:26) Analyz

Inbal Shani (CPO and Head of R&D @ Twilio) deconstructs the transformation of the R&D org at Twilio! We explore the shift from a GM-led model to a unified platform strategy and “why structure must always follow strategy.” Inbal shares her framework for moving from output-focused metrics to input goals, prioritizing “time-to-value,” and the nuances of measuring AI products. We discuss using "R&D roadshows" as a strategic company transformation tool and why engineering leaders must master product positioning. We also dive into mental models for future-proofing your business, from "working backwards" to solve customer problems, to embedding systems thinking into the DNA of your engineering team, and critical questions to identify and optimize decisions around your company’s moat.    ABOUT INBAL SHANI As Chief Product Officer, Inbal leads Twilio's R&D organization, encompassing product, engineering, and R&D operations. She is dedicated to driving platform-wide innovation, empowering customers, and delivering transformative, customer-focused solutions.   Unblocked: The context engine your coding agents are missing. Give your coding agents the context your best engineers have. Your agents can read code, but they don’t know how your team works. Rules and MCPs give access to information but not understanding. That’s why you still have to tell them where to look and what to look for. Unblocked gives your agents the history, conventions, and decisions behind your code so they generate mergeable output without the back and forth. It automatically surfaces the right context for every task, so agents stay on track without the set up tax or the correction loops. getunblocked.com/elc   SHOW NOTES: Catalysts for Twilio's R&D transformation and the shift away from organizational silos (2:49) Strategy Drives Structure: The lightbulb moment at a strategy offsite that demanded structural change to execute vision (5:14) Why structure must follow strategy and creating a "change-constant" culture (7:23) Implementing the “working backwards” methodology and the internal power of the PRFAQ (13:52) Tactical ways to filter customer signals and find real unmet problems versus feature requests (16:35) Shifting from output-focused goals to input goals and prioritizing "Time to Value" (18:35) Using weekly product reviews to align metrics with qualitative customer feedback (21:34) Measuring AI Products: Why AI products require behavior-based measurement instead of traditional binary testing (23:24) Building security by design with layered

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.   Unblocked: The context engine your coding agents are missing. Give your coding agents the context your best engineers have. Your agents can read code, but they don’t know how your team works. Rules and MCPs give access to information but not understanding. That’s why you still have to tell them where to look and what to look for. Unblocked gives your agents the history, conventions, and decisions behind your code so they generate mergeable output without the back and forth. It automatically surfaces the right context for every task, so agents stay on track without the set up tax or the correction loops. getunblocked.com/elc   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) Transitio

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) <

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 t

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 qu

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).

Career progression is rarely a straight line. More often, it only makes sense in hindsight. Chris Chiu (VP of Engineering, Agentforce @ Salesforce) joins us to deconstruct how to navigate these non-linear career paths! We talk about identifying the mismatch in your current role, building a personal "career thesis," how to engineer a productive exploration phase and leverage your relationships / VC networks to understand the market. Plus, how to apply the "Running Framework" to ensure success in your next role and why technical depth is no longer optional for modern engineering leaders.   ABOUT CHRIS CHIU Chris Chiu is a VP of Engineering at Salesforce, where he helps build Agentforce, a platform for building enterprise AI agents. Prior to Salesforce, Chris was Head of Engineering at Moonhub, building AI recruiting agents. He has experience building and scaling product engineering teams that consistently deliver great products through rapid growth and change. Earlier in his career, he led engineering teams across companies ranging from early-stage startups to late-stage growth companies, including Figma, Flexport, and OpenGov.   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: How Chris navigated the transition from Figma to Moonhub (3:47) Energy alignment: identifying the mismatch between your role and your drives (6:27) Sidesteps aren't inefficiencies: Why it’s okay to not have a specific and/or linear career plan (8:26) Building a career “thesis” by balancing passions with industry shifts (11:18) The exploration phase: Strategies for a productive four-month “sabbatical” (14:07) Leveraging your network and venture capital relationships to understand the market (16:45) The utility of “status”: When the “logo” matters & when it’s overrated (19:18) The "Running" Framework: Why you shouldn't increase career "speed" and "distance" simultaneously (21:33) How Chris applied these ideas to his move from Figma to Moonhub (24:33) Avoiding "career injury": Why stretching too thin hinders your flow state (27:07) Developing technical depth and leadership in the AI space (29:15) Learning through imitation: Finding and emulating leaders five years ahead of you (31:20) Chris’s observations on the evolution of technical leadership (34:14) The shift from “peacetime” to “wartime” (37:58) The "Leaky Abst

In this episode, recorded live at the OpenAI studio, Sulman Choudhry (Head of ChatGPT @ OpenAI) pulls back the curtain on how they structure engineering teams! We talk about shifting from silos to fluid mission-driven teams, vertical vs. horizontal teams, maximizing cross-functional collaboration between research, engineering, product and design. Plus we cover “directly responsible individuals” for high accountability, managers as systems designers, scaling decision-making to prevent leadership from becoming bottlenecks, frameworks for mentoring junior engineers, why “problem framing” is the most critical skill, and how managers can stay close to problems and maintain technical intuition.   ABOUT SULMAN CHOUDHRY Sulman 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.   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 Shift to AI-Native Engineering: How AI is collapsing the "Inner Loop" and reshaping engineering team composition (2:48) Mission-Driven Teams: Moving from traditional functional silos to integrated, problem-centric units (4:45) Vertical vs. Horizontal Team Architecture: How OpenAI structures specialized horizontal teams (ex. Infrastructure, RTC/Voice) with product verticals (7:04) Fluid org charts & blurring functional roles: AI-Native teams require proactive mission alignment and coordination over rigid structure (8:48) The Lifecycle of Problem-Oriented Teams: What happens when a "strike team" solves the problem (10:02) Maximizing cross functional collaboration between engineering, research, product and design (11:52)

Kiren Sekar (CPO @ Samsara) joins us to deconstruct the "Innovation Engine" behind Samsara, and how this system drives real-world impact and ROI across their products. We explore Samsara’s decade-long compound product strategy and the mechanics of accelerating feedback loops in an era where the primary bottlenecks shift from code generation to customer feedback and absorption of change. Kiren details how their data flywheel expands the aperture of what is possible to build and we dive into the system of customer-driven innovation: advisory boards, “spark sessions” to test hypotheses and gain unfiltered feedback. Plus we talk about the power of embedding engineers in frontline environments (from truckyards to construction sites) to cultivate “taste,” customer empathy and trigger non-linear ideas. ABOUT KIREN SEKARKiren Sekar is the Chief Product Officer at Samsara (NYSE: IOT), where he has helped lead the company from a hardware-hacking startup in a basement to a global leader in Connected Operations with over $1.5B in ARR. An early leader at Meraki (acquired by Cisco for $1.2B) and an Apple veteran with multiple patents, Kiren specializes in the rare intersection of hardware, massive-scale data, and AI. He is the architect of a platform that now processes trillions of data points for the industries that keep the world running—trucking, construction, and logistics. This episode is brought to you by Retool!What happens when your team can't keep up with internal tool requests? Teams start building their own, Shadow IT spreads across the org, and six months later you're untangling the mess…Retool gives teams a better way: governed, secure, and no cleanup required.Retool is the leading enterprise AppGen platform, powering how the world's most innovative companies build the tools that run their business. Over 10,000 organizations including Amazon, Stripe, Adobe, Brex, and Orangetheory Fitness use the platform to safely harness AI and their enterprise data to create governed, production-ready apps.Learn more at Retool.com/elc SHOW NOTES:Real-world ROI The Intersection of Bits and Atoms: How Samsara supported customers through a once-in-a-century snowstorm using real-time AI insights (3:59)The Practicality Filter: Why low-margin, high-utility businesses are the best "BS detectors" for product builders (9:25)Deconstructing the compound product strategy: 10 years of feedback loops, scaling empathy, and technical capabilities (10:53)Accelerating your innovation flywheel,

Founders often delay leadership coaching until a major crisis hits, leading to significant costs in productivity, team churn, and poor decisions. In this episode, James Birchler (Technical Advisor & Executive Leadership Coach) argues that early coaching is a game-changer for a startup's success. We explore the hidden costs of waiting and the benefits of intentionally installing leadership and communication systems before you scale. James shares specific self-awareness mechanisms, like advisory groups and feedback loops, to help founders design their day and create accountability. You'll also learn practical strategies like the "5-Minute Alignment Loop" for spotting communication breakdowns & for reinforcing clarity. Plus insights on how to "install your leadership OS" so it can scale with your company. ABOUT JAMES BIRCHLERJames Birchler is an executive leadership coach and technical advisor who specializes in helping engineering leaders and founders develop greater self-awareness and build high-performing teams. He combines deep technical expertise with practical leadership development, making him particularly valuable for technical leaders scaling their organizations.As both a founder and engineering leader, James has more than 20 years of experience leading teams at companies ranging from early-stage startups to Amazon, where his current role is Technical Advisor to the VP of Amazon Delivery Routing and Planning. Most recently, he founded NICER, a premium natural personal care company, and Actuate Partners, his executive coaching and technical advisory practice. He also held VP of Engineering roles at companies including Caffeine (backed by Greylock and Andreessen Horowitz), SmugMug (where his team acquired Flickr), and IMVU.At IMVU, James implemented the Lean Startup methodologies alongside Eric Ries, author of The Lean Startup and creator of the methodology, literally the first company to apply these principles. His team helped pioneer the DevOps movement by building infrastructure to ship code to production 50 times per day and coining the term "continuous deployment." This experience in systematic experimentation and continuous improvement now informs his coaching approach through frameworks like CAMS (Coaching, Advising, Mentoring, Supporting) and the Think-Do-Learn Loop.James completed his executive coaching certification at UC Berkeley Haas School of Business Executive Coaching Institute. His coaching practice focuses on self-awareness, integrity, accountability, and fostering growth mindsets that support continuous learning and high performance. He writes the Continuous Growth newsletter and offers both individual executive coaching and peer learning circles for technical leaders.Through his advisory work with growth-stage startups in the US and Europe, James helps leaders navigate common scali

In our latest ELC episode, we are addressing some of the biggest challenges facing engineers today: identifying your scaling thesis, putting that thesis into practice, and addressing implementation challenges. Jaikumar Ganesh, Head of Engineering @ Anyscale, shares insights from his experience working at top tech companies like Android and Uber, and how to apply those lessons within your own orgs. We also cover strategies for identifying what to build, using data effectively when it comes to understanding AI agents, and keeping your intent (and customer success) top of mind. Additionally, Jaikumar discusses his experience as a GM and why all orgs should adopt cross-functional skillsets as part of their company culture. ABOUT JAIKUMAR GANESHJaikumar Ganesh is an accomplished technology leader and the Head of Engineering at Anyscale. With a deep background in engineering and customer-facing roles, Jaikumar has a proven track record of building and scaling engineering organizations. He is passionate about pushing the boundaries of product and engineering innovation while ensuring customer needs are met, and is committed to building empowering organizations rooted in trust, respect, and growth. Jaikumar is excited about working with companies to harness the power of AI and distributed computing to achieve their goals. He previously co-started and co-led Uber's AI group—the central ML group at Uber—and was also on the early team at Android @ Google. This episode is brought to you by Retool!What happens when your team can't keep up with internal tool requests? Teams start building their own, Shadow IT spreads across the org, and six months later you're untangling the mess…Retool gives teams a better way: governed, secure, and no cleanup required.Retool is the leading enterprise AppGen platform, powering how the world's most innovative companies build the tools that run their business. Over 10,000 organizations including Amazon, Stripe, Adobe, Brex, and Orangetheory Fitness use the platform to safely harness AI and their enterprise data to create governed, production-ready apps.Learn more at Retool.com/elc SHOW NOTES:Reflecting on scaling patterns across the 2000s, 2010s, and the AI era (03:27)Why "copy-pasting" scaling strategies from other companies leads to failure (5:56)How to define a scaling thesis by mapping revenue projections to infrastructure strategy (7:52)Infrastructure shifts: From Android’s OS abstractions to Uber’s on-prem data centers (9:56)<li

How do you transform a collection of individual tools into a cohesive, AI-powered symphony? Vineeta Puranik (CPTO @ SmartBear) dissects the strategy behind evolving a product vision from point solutions to a unified multi-product ecosystem. We explore the critical architectural distinction between "AI bolt-on" and "AI native" strategies, frameworks for seamless M&A integration, and how to design for varying levels of customer AI readiness. Vineeta also discusses the shift to test “does it match intent”, using “jobs to be done” to drive solving entire workflows not just tool capabilities, and designing user experiences for both human personas and AI agents. ABOUT VINEETA PURANIKVineeta Puranik serves as Chief Product and Technology Officer (CPTO) at SmartBear, where she leads the company’s global technology and product strategy to empower developers and enterprises worldwide. A seasoned technology executive with over two decades of experience, she combines strategic vision with hands-on leadership to drive innovation, growth, and operational excellence.At SmartBear, Vineeta oversees development, cloud engineers, AI, and architecture, and has been instrumental in scaling centers of excellence in India and Poland, launching the Developer Academy, and advancing the company’s hub-based product strategy – Swagger suite for API capabilities, Test Hub, and Insight Hub. Recognized for her collaborative, people first leadership and commitment to inclusion, she was named a 2024 Women Worth Watching in STEM by Profiles in Diversity Journal. This episode is brought to you by Retool!What happens when your team can't keep up with internal tool requests? Teams start building their own, Shadow IT spreads across the org, and six months later you're untangling the mess…Retool gives teams a better way: governed, secure, and no cleanup required.Retool is the leading enterprise AppGen platform, powering how the world's most innovative companies build the tools that run their business. Over 10,000 organizations including Amazon, Stripe, Adobe, Brex, and Orangetheory Fitness use the platform to safely harness AI and their enterprise data to create governed, production-ready apps.Learn more at Retool.com/elc SHOW NOTES:SmartBear’s evolution from individual tools to a connected ecosystem (3:34)The cultural shift toward vendor consolidation and avoiding context switching (5:39)Why "Jobs-to-be-Done" must drive the workflow, not just the tool capabilities (9:35)The shif

Tyson Singer (Head of Tech & Platforms @ Spotify) joins us to unpack how Spotify is transforming its product development lifecycle across creation, experimentation and maintenance to shift from "localized speed" to "systematic speed." We explore why the industry’s current obsession with the "Build It" phase of development is shortsighted, and how Spotify is aggressively deploying AI in the "Think It" (prototyping/strategy) and "Maintain It" (fleet management) phases. Tyson also details the internal tools driving this shift, including AiKA and Honk, and shares why the future of engineering relies on moving from I-shaped specialists to T-shaped generalists. ABOUT TYSON SINGERTyson Singer is the SVP of Technology & Platforms at Spotify, where he leads technology infrastructure, developer experience, cybersecurity, and finance IT. Tyson is the executive behind Spotify’s internal developer portal, Backstage, and Spotify’s experimentation system, Confidence, which are now both commercially available. He has a background as an engineer, architect, and product lead, and he holds a Master’s in Computer Science from Stanford University. Tyson is also an avid outdoor adventurer. This episode is brought to you by Retool!What happens when your team can't keep up with internal tool requests? Teams start building their own, Shadow IT spreads across the org, and six months later you're untangling the mess…Retool gives teams a better way: governed, secure, and no cleanup required.Retool is the leading enterprise AppGen platform, powering how the world's most innovative companies build the tools that run their business. Over 10,000 organizations including Amazon, Stripe, Adobe, Brex, and Orangetheory Fitness use the platform to safely harness AI and their enterprise data to create governed, production-ready apps.Learn more at Retool.com/elc SHOW NOTES:Tyson’s 9-year journey @ Spotify: From the "crucible" of hyper-growth to leading Tech & Platforms (3:46)The pivot from "localized speed" to "systematic speed" (7:27)Core principles of Spotify’s Platform org: Partnering with customers & "Taking the pain away" (10:37)The "Think it, Build it, Ship it, Tweak it" lifecycle framework & why the industry obsession with "Build It" (coding agents) is missing the bigger picture (14:57)How Spotify is investing in the "Think It" phase: AI prototyping with deep business context (16:49)AiKA (AI Knowledge Assistant): Context engineering for humans and bots (18:47)"Honk"

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 TYACKJames Tyack leads the Learner Success and Visual Experience teams at Coursera, creating engaging and personalized learning experiences for millions of learners worldwide. An avid user of Coursera and a lifelong learner himself, James is passionate about leveraging technology, including AI, to transform lives through education. Prior to Coursera, he led integration and growth teams at PagerDuty, driving innovation and adoption of incident response tools and best practices.Beyond his professional work, James is the chapter lead for the South Bay Engineering Leadership Community (ELC) group, fostering collaboration among tech leaders. He is also a proud dad to a one-year-old, balancing his career and personal life with a deep commitment to growth and connection. 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

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 COUGHRANBill 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 RECKARDBret 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

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

In this episode, Brian Balfour (Founder & CEO @ Reforge) deconstructs the two core, interconnected challenges leaders face in the AI age: deciding what to build and evolving the Engineering, Product, Design workflow to deliver it. We cover why you should avoid “the local maxima trap” and siphon off "skunkworks" teams to take high-risk, AI-native bets. Brian provides the blueprint for the "Great Distribution Shift," detailing how to reshape your product from the ground up to avoid being left behind as platforms close, and how to emerge as a winner in the new AI landscape. Plus, learn how to rethink what to build, avoid commoditization, compress product discovery from weeks to hours, scale feature variations & prototypes, evolve products to solve harder classes of problems and shift specialist roles from "inboxes" to system builders. ABOUT BRIAN BALFOURBrian Balfour is the Founder & CEO of Reforge, which provides expert training and tools for AI-native product teams. Previously, he served as VP of Growth at HubSpot, spearheading launches like HubSpot CRM and building the growth team that propelled the company’s next chapter. 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:Brian’s reaction to the 5:1 gap between AI coding usage and actual product quality challenges (1:57)Why your system only goes as fast as the slowest part, and how hyper-optimizing engineering moves bottlenecks elsewhere (4:53)The "Local Maxima" trap: Why turning designers and PMs into mediocre developers is a waste of opportunity cost (6:04)Siphoning off "Skunkworks" Teams for AI-Native Innovation (7:53)Moving from exploring two solution paths to ten by simulating "product reps" through AI prototyping (13:24)Reforge’s AI-native suite (Build + Research): Scaling prototypes, feature variations and compressing product discovery & validation from weeks to hours (15:43)Case Study: How Captions evolved to solve harder classes of problems, using a creator-tool wedge to fund custom AI emotion-models for the media studio market (19:54)Case Study: How Shopify reframed support agents as multimodal "Business Advisors" to provide outsized value (22:24)Navigating the great distribution shift: Understanding the lifecycle from open platforms to closed ecosystems (25:10)The lifecycle of distributi

Rajeev Rajan (CTO @ Atlassian) shares the leadership playbook he used to transform Atlassian’s engineering culture, and how that cultural foundation directly powered the build and launch of Rovo (Atlassian’s new AI powered app). We cover how they reduced ship time from 120 days to zero, why “developer joy” is the metric that matters, and how to create a community of developer productivity champions to scale DevEx transformation. Rajeev also breaks down his principles for systematizing autonomy and empowerment, including frameworks for giving direct reports more ownership. Plus, a look at the future of Atlassian’s “Systems of Work”! ABOUT RAJEEV RAJANRajeev Rajan is the Chief Technology Officer (CTO) at Atlassian. Rajeev joined the company in May 2022 and is responsible for Atlassian Engineering, IT, Security and Trust, and the Engineering Operations teams. His focus areas include the company's continued transformation to Cloud, Developer Platform, and Product lines. Additionally, he is passionate about continuing to develop Atlassian’s world-class engineering organization and making it a top choice for aspiring engineering talent worldwide.A long-time resident of Washington state, Rajeev previously acted as the Vice President and Head of Engineering for Facebook and Head of Office for Meta in the Pacific Northwest Region. Prior to Meta, Rajeev spent more than two decades with Microsoft, first joining as an intern in 1994. During his time there, he worked on many products, culminating in Office 365 where he built and led the team responsible for all of the Cloud Infrastructure for Office 365.Rajeev is married with two children and a spunky yellow lab named Rayna. He is very involved in and passionate about a number of efforts that uplift the local community, ranging from the arts to STEM programs. SHOW NOTES:The "Listening Tour": Grounding leadership in reality and identifying friction points (3:52)The Confluence Editor story: Reducing ship time from 120 days to 0 (6:26)Moving beyond productivity: Why "Developer Joy" is the metric that matters (8:45)Creating a community of Developer Productivity Champions and the power of a Productivity Summit (13:44)Elevating productivity to a company-level OKR and measuring qualitative sentiment (17:12)Leadership framework: Deciding when to "manage through people" vs. "manage through process" (19:05)How to give more direct ownership / responsibility to a DRI (23:03)Alignment conversations about prioritizing developer joy & productivity (24:22)Challenges faced during Atlassian’s developer joy transformation journey (26:23)How the "Developer Joy" foundation enabled building Rovo in just 6 months (30:02)The "System of Work": Expanding Jira's utility beyon

In this episode, Daniel Lereya (Chief Product and Technology Officer @ Monday.com) shares how they are evolving their engineering roles from developers to builders & system designers, where the lines between product, engineering, and design are intentionally blurred, and developers manage AI Agents as team members, tackling an ever-expanding list of projects. We explore the shift from "developer" to "system designer" and why managing AI agents requires the same skills as managing people. Plus, a case study where the Monday.com team leveraged AI agents to decompose a monolith, autonomously manage the project board and assign strategic / high-risk tasks to humans. ABOUT DANIEL LEREYADaniel Lereya has served as Chief Product and Technology Officer at monday.com since 2023. In this role, he focuses on advancing monday.com’s multi-product vision and operational efficiencies while driving execution to support company growth. Previously, he was Vice President of R&D and Product, leading global teams in shaping and executing the company’s product strategy through innovation and technology. Before joining monday.com, Daniel held leadership and engineering roles at IBM and SAP. SHOW NOTES:The three core principles of monday.com’s culture: Ownership, Transparency, and Speed of Execution (3:59)How AI acts as an accelerant to implement these cultural principles at scale (8:36)Why the “Developer” role is evolving into a “Strategic Builder” and “System Designer” (13:47)Breaking silos: How the “Builder” role blurs the lines between product, engineering, and design (17:13)Real-world example: A designer using AI to submit code and fix UI issues independently (19:09)Case Study: The “Agent Factory” & how a weekend prototype by one leader shifted the product roadmap (21:25)Operationalizing transparency: Using internal tools (“Big Brain”) to align every builder on daily business impact (25:58)The “Kickoff Meeting” framework: A strict protocol for falling in love with the problem, not the solution (32:26)The new management paradigm with AI agents as team members (37:31)Rapid fire questions (42:09) This episode wouldn’t have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan’s also an avid 3D printer - <a

This is a special episode, highlighting a session from ELC Annual 2025! The true promise of AI isn’t in replicating human intelligence. It’s in developing entirely new forms of non-human intelligence that perceive and understand the world in fundamentally different ways. Jamie Lien (Co-Founder and Chief Scientist @ Archetype AI) and Rashi Agarwal (Head of AI Engineering @ GoodLeap) explore the emergence of "Physical AI" - machines that sense the world through modalities beyond human biology to form internal representations free from our biases and then translate that understanding back to us in human terms. ABOUT JAIME LIENJaime Lien, Ph.D. is Co-Founder and Chief Scientist at Archetype AI, a pioneering startup advancing Physical AI, artificial intelligence that understands the real world through real-time sensor data fusion.With over a dacade of experience in radar-based sensing, signal processing, and hardware engineering, Jaime’s career bridges cutting-edge research and consumer-ready innovation. Before Archetype, she led radar sensing development for Google ATAP’s Project Soli and contributed wireless communication and localization expertise at NASA’s Jet Propulsion Laboratory. ABOUT RASHI AGRAWALRashi Agrawal is Head of AI Engineering at GoodLeap, where she leads enterprise-wide AI initiatives that deliver real business impact. An accomplished speaker, she covers the latest in AI, including context engineering, evaluations, and multi-agent collaboration, while driving Applied AI innovation in the enterprise. Previously, she scaled engineering teams at Yahoo, advancing its multibillion-dollar advertising business. A passionate world traveler to 40+ countries, Rashi brings global perspective and energy to her leadership and storytelling. SHOW NOTES:Archetype AI’s mission: Building a foundation model for physical reality (0:24)The potential for discovery: Using AI to observe phenomena humans cannot perceive (1:36)Augmentation vs. Replacement: Giving humans "superpowers" rather than automating them away (2:48)The "Perfect Storm" for Physical AI: Transformers, self-supervised learning, and commodity sensors (4:04)Defining “Non-Human Intelligence” and removing the constraints of human labels (6:34)Why language is inherently lossy and insufficient for true physical understanding (8:28)Real-world application: How Physical AI aids safety decision-making in the solar industry (9:35)Use case: Improving pedestrian safety and traffic signaling in Bellevue (12:51)The biggest engineering leadership challenge: Embracing the “messiness” of real-world data (14:21)Q&A: Why we shouldn't teach AI physical laws, b

Ruslan Belkin (Head of Platform Engineering @ Inflection AI) joins us to deconstruct fundamental shifts in engineering leadership. We explore the future of user interfaces, his “sci-fi” approach to establish & test product vision, & how to leverage “investor decks” for better decision-making and project validation. Ruslan also dives into the complexities of building emotional intelligence into AI systems, cultivating an outcome-oriented engineering culture & avoiding process traps. Plus, we discuss how to keep up with the velocity of change (including when new research necessitates a major pivot), synthetic data & the future of data as a defensibility strategy, & why agent reliability is the massive opportunity ahead. ABOUT RUSLAN BELKINRuslan Belkin joined Inflection after co-founding Jelled.ai—acquired by Inflection in 2024—and previously served as CTO of Nauto. Earlier in his career, Ruslan held senior engineering roles at Twitter, LinkedIn, Netscape, and other pioneering Silicon-Valley companies, bringing more than two decades of experience at the intersection of data platforms and machine learning. SHOW NOTES:How leading engineering teams is evolving: Moving from code as the source of truth to specs/documentation as the source of truth (2:44)Why an eng org’s good hygiene / health will create better output (5:12)A framework for product vision: Envisioning the future "viscerally" like a sci-fi novel, stress-testing assumptions, and focusing smart people on the problem (9:04)Hiring in the modern era: Why software engineering is becoming "tooling and data engineering" and the importance of hiring for openness to new research (18:20)Gen Z vs. Millennial engineers: Ruslan’s observation that Gen Z is more outcome-oriented and has a lower tolerance for "corporate euphemisms." (22:24)Ruslan’s favorite frameworks for effective decision making: Using an "investment deck" to validate projects, avoid disbelief and lack of focus. (25:19)Keeping up with the velocity of change: How to curate research inputs and determine when a new paper (like DeepSeek) requires a strategic pivot. (32:57)The new burden of leadership: Why the velocity of AI requires leaders to be "right more often" and how to use models to increase research rigor. (36:27)The "Data Wall" and Synthetic Data: Why we have hit the wall for text data and how synthetic data generation loops will drive the next wave of defensibility. (41:35)The "March of 9s": Analyzing the trajectory of the AI market and why increasing agent reliability is the massive opportunity ahead. (46:25)Rapid fire questions (48:18) LINKS AND RESOURCES<a href="https://elc.community/home/videos/how-the-engineering-executive-pla

James Reggio (CTO @ Brex) shares the story of "Brex 3.0", an 18-month journey behind their operational evolution. We explore how they rewound their org from a Series E to a Series C mindset, and replaced siloed OKRs with seasonal "marquee initiatives." James deconstructs the “Brex Hacker House”, an AI-focused startup within a startup experiment aimed to disrupt their core business. This conversation is all about evolving operational rhythms, layers of management, product building, and culture change! ABOUT JAMES REGGIOJames Reggio is Brex’s Chief Technology Officer. James is a forward thinking technology leader who currently oversees Brex’s entire Engineering org. James joined Brex in 2020 as Principal Engineer and has played a vital role in building the company’s mobile app and AI capabilities. Prior to Brex, James had an extensive career as a Software Engineer at leading companies such as Microsoft, Salesforce, AirBnB, Stripe and more. Additionally, James founded two companies: Altair Management and Banter, a social discovery platform for podcasts that was later acquired by Convoy in 2018. James received his B.A. of Science from The University of Texas Austin. SHOW NOTES:The birth of Brex 3.0: Using a layoff as a "moment to refound the company" (3:38)Moving from a Series E to a Series C operational mindset (5:28)The problem with a GM model: How siloed OKRs and roadmaps created "deadlock" (6:07)New rituals: Why the CEO became "chief editor of the roadmap" (8:16)The impact on morale: "Folks just knew how their work fit into the bigger picture" (11:16)The challenge of the new model: Who do you hold accountable when you "win and lose as a team"? (13:43)The lesson for reintroducing systems: "Less is more" (15:43)The "Startup within a Startup": Launching an internal team to disrupt Brex (16:49)“What if we were founding Brex again today?” The 4 constraints for the "Hacker House" experiment (17:58)Questions eng leaders should ask when running a similar experiment to Brex (21:02)Aha moment: "With agentic coating, code is so cheap" (22:35)Managing the two narratives: "compounding" the core biz vs. “innovating" with AI (26:01)A surprising dynamic: Why the AI team struggled to see their impact (while the core team didn't) (29:38)Building alongside your customer to iterate / experiment faster (36:06)The turnaround is over: Brex hits 50% YoY growth and cash-flow positive (38:45)Rapid fire questions (42:10) This episode wouldn’t have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor <

In today’s technology landscape, management as a skill is becoming more complex as teams become larger & managers must navigate the balance between relationships and strategic execution. So how can AI tools help managers level up their game? Jonathan Raymond (Founder & CEO @ Ren) shares insights that can help managers navigate their modern-day invisible cognitive loads. We cover how AI can be used to enhance – not replace – inherently human skillsets, the three components that make up an effective manager / employee relationship, product-building principles for building relational systems, and using AI to guide rather than provide concrete answers. ABOUT JONATHAN RAYMONDJonathan Raymond is the Founder and CEO of Ren, an AI agent for managers and teams that helps them give and receive feedback, have meaningful 1:1s, and access real-time personalized coaching. He is also the author of the award-winning book Good Authority and was named one of Inc. Magazine’s Top 100 Leadership Speakers. Previously the CEO of EMyth, Jonathan has led transformation projects across technology, renewable energy, and coaching. He’s a half-decent barista, a mediocre-but-enthusiastic surfer, and will never give up on the New York Knicks.SHOW NOTES:Jonathan’s perspective on the impossible cognitive load & colliding pressures of modern managers (2:31)The complicated workflow it takes to be a great manager (6:05)“Field Intelligence” and the need to ingest non-technical data such as (mood, sentiment, and alignment) to make better leadership decisions (9:52)The managerial matrix: high/low performers and the 10-person team that feels like 50 (12:46)The cost of mismanaging your team & why it’s so easy to get it wrong (16:02)What’s uniquely human vs. where AI provides leverage (18:01)AI’s role: detecting signal and prompting human reflection (21:04)The “Growth Loop”: a 3-part system for effective leadership (27:20)Incorporating AI tools to enhance the manager / employee relationship (31:20)The future vision: an “in-ear” AI coach that closes the gap between learning and applying (33:09)Closing the gap between learning a new skill & it becoming an unconscious habit (35:59)Product Principle: Building a “Relational System,” not just a task manager (37:49)Product Principle: Why an AI coach must ask questions, not provide answers (40:50)How to harness AI tools for better emotional articulation / processing (45:11)A simple behavioral change to try this week (47:58)Rapid fire questions (49:57)LINKS AND RESOURCESGood Authority: How to Become the Leader Your Team is Waiting For - Jonathan’s book i

Businesses are spending millions on AI tools hoping to accelerate time-to-market but aren't seeing organizational-level results. Laura Tacho (CTO @ DX) explains why an "individual productivity" mindset fails and how AI merely accelerates the condition of the system it enters. She provides a framework for leaders to shift to a systems-level approach, find high-leverage ROI by looking outside the 20% of time spent coding, and understand what sets high-ROI orgs apart. Plus Laura shares data literacy tools to cut through the "whiplash" of conflicting AI reports and provides key considerations for 2026 budgeting, detailing where and how companies are planning to strategically invest.ABOUT LAURA TACHOLaura Tacho is CTO at DX, a developer experience company. She previously led teams at companies like CloudBees, Aula Education, and Nova Credit. She’s an expert in building world-class engineering organisations that consistently deliver outstanding results. Laura has coached CTOs and other engineering leaders from startups to the Fortune 500, and also facilitates a popular course on metrics and engineering team performance.SHOW NOTES:Downsides to approaching organizational outcomes from an individual task level (2:59)Why individual product gains don’t always equate to systems-level improvements (4:56)How the quality of existing systems impacts the improvements AI can foster (7:26)Strategies for shifting mental models from the individual to systems level (9:09)Implement training & enablement techniques as an organizational lever (11:22)Common workflows that can unlock new problem-solving methods (14:46)Understanding what impact you want to see / getting the most ROI from AI (18:40)How to interpret the data when it comes to AI & its true ROI (21:22)AI data literacy for engineering leaders (23:06)Interpreting the meter study & what it means for engineers using AI (25:49)Quality vs. quantity when it comes to AI implementation on the org level (28:43)Characteristics that high-ROI companies possess when it comes to AI (30:35)Strategies to invest in that may lead to higher ROI (32:29)Laura’s observations on time & money budgeting / investments for 2026 (35:28)Embracing cost savings & opportunity generation as an eng org (38:08)Tackling fear / uncertainty when it comes to AI adoption, budgeting, & ROI (40:01)LINKS AND RESOURCESPrevious Episode with Laura TachoIntroducing the AI Measurement Framework from DX<a href="https://www.atlassian.com/teams/software

What happens to platform engineering when natural language becomes the primary interface to infrastructure? Miriam Aguirre (Co-founder & CEO @ Ingenimax) joins us to explore how AI is fundamentally reshaping platform strategy, team structures, and the very role of the platform engineer. We deconstruct the shift from tactical "how" to strategic "why" and explore what it means to lead and build resilient systems in this new paradigm.ABOUT MIRIAM AGUIRREMiriam Aguirre is the Co-Founder and CEO of Ingenimax, the company behind StarOps, an AI-powered platform engineering engine that helps teams deploy and manage kubernetes and other cloud-native systems in minutes, not months. Before Ingenimax, Miriam served as CTO and engineering leader at two startups that successfully scaled from early stage through IPO. Her career spans deep expertise in high-throughput, scalable systems and machine learning, with a focus on building the technical and organizational foundations for hypergrowth. Miriam is passionate about engineering leadership that turns complex technology into intuitive, reliable platforms, and about helping teams scale without losing their soul. ToolHive Unlocks the Full Value of MCP & Your AI AgentsSo you’ve invested in AI agents for code generation, but they’re limited to experiments or even stuck on the shelf. To do real, valuable work, those AI agents need access to your data and systems.ToolHive helps you confidently connect the pieces by making it simple and secure for you to use the Model Context Protocol (MCP).ToolHive includes a pre-vetted registry of MCP servers, containerizes every MCP server for consistency and leans on built-in security to keep your secrets safe.Leaders trust ToolHive to put MCP into production and put their AI agents to work.ToolHive is open source, so get started for free at toolhive.dev SHOW NOTES:The Origin Story of Ingenimax (3:05)The recurring scaling problem: Why "scaling teams" means scaling systems first (5:23)How the age of AI forces platform strategy to evolve earlier in a company’s journey (8:48)The decline of vendor lock-in and the rising appetite for experimentation with tech (10:56)The paradigm shift that breaks the old model: natural language as the new interface (14:11)Why deep knowledge of fundamentals is now more important than syntax (16:56)Shifting requirements conversations from tactical inputs to strategic outcomes (20:22)Balancing standardization and flexibility with guardrails in an AI-driven environment (22:58)The challenge of getting

In this episode, we’re addressing one of the biggest challenges current eng leaders are facing – balancing yesterday’s constraints with tomorrow’s potential! Chrystal Henke Ball (VP of Engineering @ Yahoo) shares insights on why it’s important to constantly challenge your assumptions and how vision can sometimes work as a bottleneck for your organization. We dissect how the traditional product lifecycle is evolving to become more fluid and what that means for the collaborative relationship between product, eng, and design. Additionally, Chrystal defines grit, why it’s important for leaders to model it, and strategies for cultivating the trait within your eng team in order to move past short-term challenges and focus on long-term goals! ABOUT CHRYSTAL HENKE BALLChrystal Henke Ball a seasoned engineering leader, currently serving as VP of Engineering at Yahoo, where she leverages her experience to accelerate product development across core products such as Yahoo.com and the Yahoo News app. Prior to Yahoo, she led engineering organizations at Google Search, Pandora, Pachama, and Arcadis, building highly available systems, guiding architectural transitions, spearheading novel solutions, and delivering delightful user experiences. Chrystal excels at designing purpose-driven, scalable architectures, streamlining development processes, and mentoring teams to work effectively and openly together. ToolHive Unlocks the Full Value of MCP & Your AI AgentsSo you’ve invested in AI agents for code generation, but they’re limited to experiments or even stuck on the shelf. To do real, valuable work, those AI agents need access to your data and systems.ToolHive helps you confidently connect the pieces by making it simple and secure for you to use the Model Context Protocol (MCP).ToolHive includes a pre-vetted registry of MCP servers, containerizes every MCP server for consistency and leans on built-in security to keep your secrets safe.Leaders trust ToolHive to put MCP into production and put their AI agents to work.ToolHive is open source, so get started for free at toolhive.dev SHOW NOTES:Navigating the challenge of balancing constraint vs. innovation (3:05)Considerations for balancing current capabilities w/ your roadmap to change (4:34)Frameworks for categorizing what’s fixed vs. in flux to aid decision-making (6:14)Conversation points for checking your assumptions (7:36)The new leadership challenge: vision as a bottleneck (14:45)Evolving feedback loops to address a more fluid product lif

How do you apply your leadership skills to a new, mission-driven industry and effectively lead teams across multiple technical domains? In this episode, Simone Kalmakis (VPE @ Viam) shares her playbook for successfully transitioning between industries from health-tech and climate to her current work in robotics and AI. We deconstruct the leadership models she uses to prioritize her time, manage multiple technical experts, and why she focuses on "depth with 1-2 teams > breadth". Plus, her framework for onboarding in a new domain, the lifecycle of a leadership "deep dive," and communication practices that build trust and empower your entire organization to stay aligned and motivated.ABOUT SIMONE KALMAKISSimone Kalmakis is the VP of Engineering at Viam, a platform unlocking AI, data, and automation for devices in the physical world. She has deep experience applying AI and machine learning to big data and big missions, and is known for building healthy engineering organizations that drive business value and real-world progress.Prior to Viam, Simone was Senior Director of Engineering at Arcadia, a climate tech company building an API platform for residential utility data to power solutions that fight climate change. Before that, she served as Director of Engineering at Flatiron Health, where she helped accelerate the development of cancer treatments through real-world data.Simone began her career at Microsoft, developing machine-learned relevance algorithms for Bing. She’s also a successful founder––after Microsoft, she built and sold Symbi, a roommate-matching startup. She holds a degree in Mathematics and Economics from Yale University. ToolHive Unlocks the Full Value of MCP & Your AI AgentsSo you’ve invested in AI agents for code generation, but they’re limited to experiments or even stuck on the shelf. To do real, valuable work, those AI agents need access to your data and systems.ToolHive helps you confidently connect the pieces by making it simple and secure for you to use the Model Context Protocol (MCP).ToolHive includes a pre-vetted registry of MCP servers, containerizes every MCP server for consistency and leans on built-in security to keep your secrets safe.Leaders trust ToolHive to put MCP into production and put their AI agents to work.ToolHive is open source, so get started for free at toolhive.dev Join us at ELC Annual 2025ELC Annual is the premier event for engineering leaders. This is our biggest event of the year: 1,000+ CTOs, VPs & Directors in San Francisco @ ELC Annual 2025 for two days of leadership breakthroughs, tactical peer learning & curated

"If we were building Box today, what would we do?” Ben Kus (CTO @ Box) deconstructs their playbook for enterprise AI innovation. We cover their journey to reimagine & reorient the company to a new technical vision, how they run a “multi-speed” org that balances startup agility and & enterprise-grade stability, and their “platform first” approach to build AI features. Ben also explains why security/compliance was foundational from "day negative one" in their AI strategy, the evolution of agentic AI, determining the right guardrails for AI agents & the future of multi-agent systems, enterprise trends & more. ABOUT BEN KUSBen Kus is the Chief Technology Officer at Box, where he leads technology and AI strategy to help enterprises securely unlock insights from their unstructured data. Ben’s career spans engineering, product leadership, and startup innovation—including co-founding Subspace (acquired by Box) and being an early employee at BigFix (acquired by IBM), where he later served as Chief Architect of Mobile Security. Ben holds a degree in Computer Science from UC Berkeley. ToolHive Unlocks the Full Value of MCP & Your AI AgentsSo you’ve invested in AI agents for code generation, but they’re limited to experiments or even stuck on the shelf. To do real, valuable work, those AI agents need access to your data and systems.ToolHive helps you confidently connect the pieces by making it simple and secure for you to use the Model Context Protocol (MCP).ToolHive includes a pre-vetted registry of MCP servers, containerizes every MCP server for consistency and leans on built-in security to keep your secrets safe.Leaders trust ToolHive to put MCP into production and put their AI agents to work.ToolHive is open source, so get started for free at toolhive.dev Join us at ELC Annual 2025ELC Annual is the premier event for engineering leaders. This is our biggest event of the year: 1,000+ CTOs, VPs & Directors in San Francisco @ ELC Annual 2025 for two days of leadership breakthroughs, tactical peer learning & curated connections!🔗 Get your ticket now → https://sfelc.com/annual2025 SHOW NOTES:How Generative AI sparked Box’s reoriented vision, by unlocking the value of unstructured data (3:29)Using GenAI to create structure out of unstructured data (5:28)Internal & external conversations that inspired Box’s new direction (7:18)Box’s “platform first” approach to building a secure and scalable foundation for all future AI features (10:02)Why security and compliance

Engineering leadership is undergoing a seismic shift, requiring playbooks to be rewritten, in real-time. In this special episode, hosts Patrick Gallagher and Jerry Li give you an inside look at the ELC Annual 2025 experience, and how the two-day conference will equip you with new mental models, skills, and frameworks required to lead.Get a preview of tactical takeaways from deep operational dives into companies like OpenAI, Amplitude, and HeyGen. Discover how the conference will help you redesign your innovation engine, transform your team's workflows, and blur the lines between engineering, product, and business to drive impactful change. Through a unique mix of tactical sessions, peer-led roundtables, and curated mentorship, you'll learn how to find the community and coaching needed to lead through uncertainty and invest in your own career growth.To learn more & get tickets, go to sfelc.com/annual2025Use code podcast15 for 15% off tickets - group tickets / discounts available. ABOUT ELC ANNUALThe playbook for engineering leadership is being rewritten. ELC Annual 2025, happening September 10-11 in San Francisco, is where you'll gain the insights, strategies, and deep connections needed to lead in this new era. 50+ speakers, 50+ peer-led roundtables discussions, 1:1 matching to expand your network. Insights, connections & support.Join the community of engineering leaders who are co-creating the future of our field.Listener Discount → Use code podcast15 for 15% offGroup Tix → For teams looking to attend together, special group discounts can be found under the 'Tickets' section of our website!Secure your ticket at sfelc.com/annual2025 ToolHive Unlocks the Full Value of MCP & Your AI AgentsSo you’ve invested in AI agents for code generation, but they’re limited to experiments or even stuck on the shelf. To do real, valuable work, those AI agents need access to your data and systems.ToolHive helps you confidently connect the pieces by making it simple and secure for you to use the Model Context Protocol (MCP).ToolHive includes a pre-vetted registry of MCP servers, containerizes every MCP server for consistency and leans on built-in security to keep your secrets safe.Leaders trust ToolHive to put MCP into production and put their AI agents to work.ToolHive is open source, so get started for free at toolhive.dev Join us at ELC Annual 2025ELC Annual is the premier event for engineering leaders. This is our bigges

What if your engineering team didn’t just write code, but owned product discovery, wrote the launch messaging, and handled early sales? In this episode, Michael Grinich, CEO and founder of WorkOS, deconstructs their playbook for collapsing the product/engineering stack: no design leads, only one PM, and engineers who own product end-to-end. Michael breaks down how they teach product thinking, build with deep customer insight, and why his most important job is often to "cut scope." You’ll learn how to remove the "lossy translation layers" between teams, build a culture of curiosity and customer obsession, and ship higher-quality products, faster.ABOUT MICHAEL GRINICHMichael is the founder and CEO of WorkOS, a developer platform that enables companies to become Enterprise Ready through features like Single Sign-On (SAML). Their customers include many of the fastest-growing startups including Webflow, Drata, Loom, and +200 others. Before WorkOS, Michael co-founded Nylas and studied CS at MIT. ToolHive Unlocks the Full Value of MCP & Your AI AgentsSo you’ve invested in AI agents for code generation, but they’re limited to experiments or even stuck on the shelf. To do real, valuable work, those AI agents need access to your data and systems.ToolHive helps you confidently connect the pieces by making it simple and secure for you to use the Model Context Protocol (MCP).ToolHive includes a pre-vetted registry of MCP servers, containerizes every MCP server for consistency and leans on built-in security to keep your secrets safe.Leaders trust ToolHive to put MCP into production and put their AI agents to work.ToolHive is open source, so get started for free at toolhive.dev Join us at ELC Annual 2025ELC Annual is the premier event for engineering leaders. This is our biggest event of the year: 1,000+ CTOs, VPs & Directors in San Francisco @ ELC Annual 2025 for two days of leadership breakthroughs, tactical peer learning & curated connections!🔗 Get your ticket now → https://sfelc.com/annual2025 SHOW NOTES:Marketing technical products exclusively to other tech companies (2:39)Building products end-to-end without PMs (6:36)How WorkOS utilizes fun, user feedback, and cohesive storytelling in their product-building process (9:31)Hiring engineers for curiosity & comfort operating in ambiguity (12:48)How engineers owning product discovery & directly engaging w/ users improve product insights (16:31)Using Slack for real-time integrated support & rapid product iter

Influencing without authority is the hidden superpower of security leadership—and a crucial skill every engineering leader must master. In this episode, Srinath Kuruvadi (Head of Cloud Security @ JPMorgan Chase) breaks down how to influence without formal authority and advocate when ROI isn’t immediately clear. We cover tactics for shaping problems from the POV of other stakeholders, Plus, strategies to establish shared outcomes, insights on optimizing your time, emerging AI x security trends, and how his team is operationalizing curiosity & experimentation through The Innovation Lab.ABOUT SRINATH KURUVADISrinath Kuruvadi is a globally recognized cybersecurity executive and cloud security leader with over two decades of experience driving security innovation at some of the world’s most influential technology companies, including Netflix, Meta, Google, Lyft, and JPMorgan Chase. Currently serving as Managing Director and Head of Cloud Security at JPMorgan Chase, he leads the enterprise-wide security strategy across APIs, containers, and cloud platforms, shaping the future of banking technology.Srinath’s approach blends deep technical expertise with executive-level risk management. At Netflix, he headed cloud security for one of the largest AWS environments globally, pioneering scalable governance and identity systems that supported massive data throughput. At Meta and Google, he led the development of custom infrastructure security systems protecting billions of users, including Facebook’s Blackbird SIEM+SOAR platform.Beyond his executive roles, Srinath is a strategic advisor and angel investor, with five successful startup exits including Bridgecrew, Lightspin, Oxeye, Gem Security, and Kivera. He is also a trusted advisor to venture capital firms like YL Ventures and Glilot Capital Partners, and served on Amazon’s Global CISO Advisory Council.He holds multiple patents in web application security, database protection, and abuse detection, and has authored research on algorithmic solutions in industrial systems. Srinath is also multilingual and committed to lifelong learning, exemplified by a sabbatical that took him to over 35 countries for cultural, linguistic, and creative growth.With a Master’s degree in Computer Science from North Carolina State University and a Bachelor's from BITS Pilani, Srinath is known for transforming security from a blocker into a business accelerator.Join us at ELC Annual 2025ELC Annual is the premier event for engineering leaders. This is our biggest event of the year: 1,000+ CTOs, VPs & Directors in San Francisco @ ELC Annual 2025 for two days of leadership breakthroughs, tactical peer learning & curated connections!🔗 Get your ticket now → https://sfelc.com/annual2025 SHOW NOTES:

John Amaral (CTO and co-founder @ Root.io) joins us to discuss the evolving role of engineering leaders and why vision-first leadership & building your “vision” muscle is more critical than ever. We dive into why “shift left” is dead and why SaaS is being replaced by “do-it” as a service. John also unpacks how to think in outcomes, apply the Jobs-To-Be-Done framework to eliminate toil, and reimagine product experiences. Plus, we look inside Root.io’s approach to building AI-native security products that ship daily. Whether you’re rethinking your org design or exploring the frontier of AI-powered engineering, this episode will reshape how you think about building, leading, and scaling teams.ABOUT JOHN AMARALJohn Amaral, CTO and co-founder of Root.io, is a veteran cybersecurity leader with a proven track record of scaling and exiting successful companies. At Cisco, he led Product for Cloud Security—its fastest-growing Security and SaaS business. Before that, he ran product and engineering at CloudLock through its acquisition by Cisco in 2016. Earlier, as SVP of Product at Trustwave, John led its industry-leading security portfolio, culminating in a strategic acquisition by Singtel. Today, he’s building Root.io—a next-gen cybersecurity platform pioneering Agentic Vulnerability Remediation (AVR) to automate and eliminate software vulnerabilities at scale. Join us at ELC Annual 2025ELC Annual is the premier event for engineering leaders. This is our biggest event of the year: 1,000+ CTOs, VPs & Directors in San Francisco @ ELC Annual 2025 for two days of leadership breakthroughs, tactical peer learning & curated connections!🔗 Get your ticket now → https://sfelc.com/annual2025 SHOW NOTES:The evolving role of engineering leaders (2:13)“Shift Left is Dead” - Why it’s time to “Shift Out” (5:59)Applying Jobs-To-Be-Done & offloading toil with AI (11:00)Root.io’s AI-driven approach to security (15:03)Vision First Leadership (22:36)Empowering developers & shipping daily (27:38)Rethinking product & engineering orgs and building your vision muscle (30:47)Unlocking creativity through hobbies (36:37)Rapid fire questions (41:14)LINKS AND RESOURCESThe All-In Podcast - When the pandemic prevented four friends from convening their weekly poker game, they took to the airwaves to socialize and discuss the news of the day. What started on a whim has quickly become one of the top-ranked podcasts in the world.This episode wouldn’t have be

We’re pausing the pod this week as we gear up final planning for ELC Annual 2025 - the premier event for engineering leaders. New episodes return next week (on a biweekly schedule!). This is our biggest event of the year… 1,000+ CTOs, VPs & Directors in San Francisco @ ELC Annual 2025 for two days of leadership breakthroughs, tactical peer learning & curated connections! We’d love for you to join us. 🎟️ Early Bird pricing ends soon – secure your spot at the best rate. 🔗 Get your ticket now → https://sfelc.com/annual2025 Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, we go inside Commure’s engineering org w/ Dhruv Parthasarathy (CTO @ Commure & Athelas). We cover how to push decision-making down to move faster and reduce risk, structure teams for rapid iteration, and turn customers into product co-creators. Dhruv also shares how they cultivate polymath capabilities across EPD to accelerate velocity, why scope is one of the most underrated sources of leverage in engineering, and the frameworks they use to identify compound wins. If you’re scaling an eng org, leading in a complex domain, or designing your team for speed—this episode is packed with tactical frameworks you can apply immediately.ABOUT DHRUV PARTHASARATHYDhruv Parthasarathy has spent the last 8 years focused on applying modern software and machine learning techniques in healthcare. Dhruv currently serves as the CTO of Commure, HATCO, and Augmedix. In the role of CTO, he leads product, engineering, and design teams. Prior to this, Dhruv helped found Athelas which eventually merged with Commure.In these roles, Dhruv has designed and developed end-to-end solutions for revenue cycle automation, ambient documentation, patient engagement, and at-home diagnostics for oncology.Before this, Dhruv was the Director of Machine Learning Programs at Udacity, where he led the development of the AI, Self-Driving Car, Deep Learning, and Machine Learning Nanodegree programs.Dhruv also worked as a Product Engineer at Udacity, where he rebuilt the main signed-in experience and was responsible for the backend development. Dhruv obtained a Bachelor's degree in Computer Science from Massachusetts Institute of Technology in 2013. Following this, they pursued a Master's degree in Computer Science with a concentration in Artificial Intelligence at MIT from 2013 to 2014.Join us at ELC Annual 2025ELC Annual is the premier event for engineering leaders. This is our biggest event of the year: 1,000+ CTOs, VPs & Directors in San Francisco @ ELC Annual 2025 for two days of leadership breakthroughs, tactical peer learning & curated connections!🔗 Get your ticket now → https://sfelc.com/annual2025 SHOW NOTES:How the Commure team moves with speed & momentum (3:26)Commure’s operational strategy / key leadership principles (4:57)Hiring & cultivating multi-talented individuals (7:16)How to optimize decision-making, push decisions down & minimize risk (8:40)Why speed is a core principle for building successful eng orgs (11:36)Getting unstuck in your decision-making as an eng team (13:07)Challenges faced while building a high-performing eng team in healthcare (15:47)Tactics for hiring less experienced engineers & bringing them up to speed (18:22)C

Loïc Houssier (VP Engineering @ Superhuman) shares his evolving playbook for driving velocity in eng orgs today, building product-minded teams, and cultivating product taste. We cover leading culture / mindset transformation, creating exceptional product experiences, operational excellence when product quality is increasingly subjective. Plus the evolution of productivity tools!ABOUT LOÏC HOUSSIERLoïc Houssier is an engineering executive with 20 years of leadership experience spanning startups, scale-ups, and global enterprises. He specializes in helping high-growth companies scale with speed and discipline, combining technical depth with a strong operational mindset.He currently leads engineering at Superhuman, the most productive email app ever made, where he joined at a pivotal moment in the company’s growth. Loïc brought a new level of executional rigor — embedding a culture of speed not just in the product (where every interaction happens in under 100ms), but in how the team ships, scales, and makes decisions.Previously, he held senior engineering roles at Productboard, Firstbase, and DocuSign, where he led global teams through platform expansion, org design, and M&A. With a background in cryptography and early experience as a security researcher, Loïc is also a frequent mentor and speaker on engineering leadership and building resilient, high-velocity teams.Join us at ELC Annual 2025ELC Annual is the premier event for engineering leaders. This is our biggest event of the year: 1,000+ CTOs, VPs & Directors in San Francisco @ ELC Annual 2025 for two days of leadership breakthroughs, tactical peer learning & curated connections!🔗 Get your ticket now → https://sfelc.com/annual2025 SHOW NOTES:How Loïc built a reputation for building high-velocity engineering orgs (2:14)The underweighted value of board member continuity (4:58)Defining velocity in the AI age (6:23)Loïc’s evolving playbook that drives velocity (9:10)Implementing the velocity playbook @ Superhuman (11:04)An example of incorporating domain focus effectively within an eng team (12:49)Strategies for changing core principles / managing culture shock (16:17)Knowing when you made the correct change vs. signals it’s not working (19:06)Tools & tactics to promote a velocity mindset in engineering orgs (21:10)Build credibility with influential eng leaders in your org (23:37)Frameworks for cultivating product thinking within an eng org (27:03)How to cultivate great product taste inside engineering orgs (30:24)The importance of having a strong leader who sets the product taste standard (32:20)Key elements of exceptional product experiences @ Superhuman

When Nissim Lehyani (VP of Product at Life360) used AI to build a math game for his son, he didn’t just prototype a game, he rewired how he thinks about product development and the relationship between engineering, product, and design. In this episode, Nissim shares how that personal “aha” moment sparked a shift in how his teams build, collaborate, and ship. We dive into how AI is accelerating product iteration from months to hours, why it’s time to drop the “M” from MVP, and how prototypes are replacing PRDs as the central artifact of product work. Plus how product rituals and building cadence are evolving, strategies for scaling a prototype-first workflow, and we deconstruct the “lightning pod” model and how it’s changing the dynamics of product building & EPD collaboration.ABOUT NISSIM LEHYANINissim Lehyani is the Vice President of Product at Life360, where he leads product strategy for the family safety platform used by over 60 million users worldwide. With more than two decades of experience across startups, global tech companies, and entrepreneurial ventures, Nissim is known for scaling impactful products that blend technical depth with business strategy.Prior to Life360, he was Senior Director of Product at Indeed, where he oversaw a portfolio of 13 consumer products reaching 300M+ monthly users, and led a team of 40+ product managers across global markets. Nissim previously held leadership roles at GoDaddy, where he helped 18M+ SMBs grow their businesses through strategic partnerships with Facebook, Yelp, and Google.As a founder, he built and led two ventures: Shopial (acquired by Magento) and Urban Place, raising millions to support small businesses and entrepreneurs. He also brings deep technical roots from his engineering leadership at Cisco and early career in Israeli Military Intelligence.Nissim is a 2024 Product Leader Award winner and active mentor in the startup ecosystem through roles at Mixpanel and SV101 by ICON. He’s passionate about user-centric innovation, data-driven growth, and the intersection of AI, engineering, and product management.Join us at ELC Annual 2025ELC Annual is the premier event for engineering leaders. This is our biggest event of the year: 1,000+ CTOs, VPs & Directors in San Francisco @ ELC Annual 2025 for two days of leadership breakthroughs, tactical peer learning & curated connections!🔗 Get your ticket now → https://sfelc.com/annual2025 SHOW NOTES:How Nissin & Patrick got connected (2:19)Nissin’s light bulb AI moment (4:03)Building first & defining later (5:33)How AI accelerates product iteration from months to hours & fills skill gaps (6:49)Recognizing your AI aha moment (9:44)Why it’s time to drop the “M” from MVP (11:21)</

We just launched the ELC Forum — a new space for engineering leaders to dive deeper into real challenges and get peer support It’s a discussion board (like Reddit) but focused on eng leadership. We’re sharing takeaways from recent episodes and kicking off new discussions. Plus, AMAs with guests are coming soon. See you in the Forum!Click here to explore the forum, ask questions, & share insights and takeaways!https://elc.community/home/forum Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

How do you go from deeply technical IC to leading 100+ engineers - and still stay close to the tech? Prashant Ramarao, SVP of Engineering & Head of AI @ Yahoo shares lessons from his unconventional leadership journey, exploring the mindset shift from expert IC to executive! We cover how to scale your leadership while maintaining technical credibility and how to effectively communicate with GMs & other non-technical stakeholders. Plus, Prashant shares personal AI projects that enhanced his technical credibility, leadership skills & understanding of how to integrate AI into products If you’re navigating the leap from technical to strategic, or scaling your leadership, this one’s for you.ABOUT PRASHANT RAMARAOPrashant is a hands-on technology executive with extensive experience in software engineering, leading large organizations, specializing in AI / ML, and large-scale systems architecture. With advanced degrees in computer science and engineering leadership, he excels at defining technical strategies that align with business goals, delivering results, and fostering high-performing, cross-functional teams. He cares about engineering excellence, leveraging cutting-edge technology to solve complex problems and scale operations for long-term growth. He has a lifelong passion for learning and looks for opportunities to challenge the status quo to drive change. He loves the outdoors and is a self-proclaimed podaholic - going on long hikes in Bay Area while listening to his podcasts is one of his favorite activities.Join us at ELC Annual 2025ELC Annual is the premier event for engineering leaders. This is our biggest event of the year: 1,000+ CTOs, VPs & Directors in San Francisco @ ELC Annual 2025 for two days of leadership breakthroughs, tactical peer learning & curated connections!🔗 Get your ticket now → https://sfelc.com/annual2025 SHOW NOTES:Behind Prashant’s rapid leadership evolution (3:26)Transitioning from IC to management: early steps and surprises (5:51)Navigating the mindset shifts from tech expert to people leader (7:31)Friction points in moving from informal to formal leadership (11:00)Skills for communicating with less technical audiences (13:46)Learning to talk with GMs & other non-technical leaders (16:32)Frameworks for effective meeting planning (19:03)Examples of communicating technical work to execs (20:08)Learning the impact of the “observer effect” (21:59)Incorporating feedback gathered by observing (27:03)Strategies for maintaining technical credibility as a senior leader (29:29)Why personal projects and experimentation matter for leadership growth (32:21)How Prashant’s personal projects

AI is reshaping the fundamental economics of startups—lowering product development costs, compressing GTM cycles, and rewriting the rules of competition. In this episode, Craig McLuckie (Co-Founder he has also led product and engineering teams at Google and Microsoft. Craig is a co-creator of Kubernetes and he bootstrapped and chaired the Cloud Native Computing Foundation. xJoin us at ELC Annual 2025ELC Annual is the premier event for engineering leaders. This is our biggest event of the year: 1,000+ CTOs, VPs & Directors in San Francisco @ ELC Annual 2025 for two days of leadership breakthroughs, tactical peer learning & curated connections!🔗 Get your ticket now → https://sfelc.com/annual2025 SHOW NOTES:Why this moment is “the epoch of the startup” (2:03)How AI shifts startup economics: from cost structures to value capture (4:18)Why incumbents struggle during disruption—and how startups can win (8:17)The origin story behind Stacklok & lessons from Craig’s pivot (11:04)Frameworks for identifying asymmetric advantages as a founder (14:48)How to map your unique asymmetric advantages to new opportunities and secure stakeholder buy-in (16:34)Rethinking defensibility & value capture in the AI era (16:29)How Craig applied cost, GTM & product perspectives to strategic pivots @ Stacklok (18:07)Building investment theses: Aligning cultural strengths & asymmetric advantages with evolving opportunities (20:05)Determining your startup’s investment themes (22:53)Structuring experiments & validating opportunities (24:15)Defensibility & building community-driven moats in early ideation phases (26:54)Signals of early community-product alignment (

Anush Elangovan (VP of AI Software @ AMD) is helping lead a strategic evolution at AMD, from silicon/components provider to a systems and solutions company built for the AI era. In this episode, we explore the first principles behind AMD’s unified AI hardware and software strategy and how the company is building a fully open-source AI ecosystem. Anush shares how his team creates a tight feedback loop between core engineering and customer deployment, and the daily rituals they use to operate at the speed of AI. We also unpack the leadership mindset required to navigate the tension between fast-moving AI software & slower hardware development cycles. Plus: building in public, integrating community feedback, and favorite examples of AI’s impact on everyday human experiences.ABOUT ANUSH ELANGOVANAnush Elangovan leads the Artificial Intelligence Group (AIG) as Corporate Vice President of AI software and solutions.Anush has 23 years of industry experience in AI, computer science, compilers, network security, operating systems, math, and its materialization on complex hardware systems. This co-founder and Chief Executive Officer of Nod.ai oversaw product strategy and the overall business until AMD acquired Nod.ai (see related article here) today.Anush will lead the acceleration of deploying AI solutions optimized for AMD products while aligning with AMD’s AI growth strategy centered on an open software ecosystem. In the near term, he and his team will introduce the code generation (CodeGen) capabilities from the Nod.ai flagship software, Shark, to unlock customer engagements via the ROCm™ and Vitis™ AI platforms. Over time, Anush will lead the contributions of the Nod.ai team to the AMD Unified AI Stack.Before starting Nod.ai, Anush was instrumental in the graphics stack on the first ARM Chromebook. He led the movement of the Chrome operating system from Debian to Gentoo Linux to enable Google to gain full control of the shipping software. Previously, he was Principal Engineer for Agnilux, which Google acquired. The Agnilux team became crucial to the Chrome OS team, building a fusion of Android and Chrome OS.Previously, Anush was a technical lead at Cisco Systems in its Datacenter Group, creating the first distributed virtual switching platform. He has also been an early member of FireEye, where he led in-memory taint-check analysis for networking and security in virtualized environments. He started his career in an earlier stint at Cisco, contributing to metro Ethernet initiatives.Anush holds a Master of Science in computer science from Arizona State University and a Bachelor of Engineering in computer science from the Mepco Schlenk Engineering College at Madurai Kamaraj

When Farnaz Azmoodeh (CTO @ Linktree) stepped into her new role, she unexpectedly took on product & design just three months in—owning all of engineering, product, and design during a critical period of change. In this episode, Farnaz shares hard-won lessons from that transition, including the mindset shift from delivery to discovery, balancing data vs. intuition in decision-making, knowing when to pivot your product strategy, and building small / fast-moving cross-functional teams. We also cover applying the 80/20 rule to simplify complex product surfaces, her favorite frameworks for pattern recognition, and how to reset assumptions when pattern-matching can backfire. If you’re navigating ambiguity, expanding your scope, or evolving how your org builds product, this episode will help you lead with more clarity, speed, and strategic focus.ABOUT FARNAZ AZMOODEHFarnaz is the CTO at Linktree, the leading social platform for creators and small businesses. Linktree enables its users to unify, curate, and monetize their online presence. Farnaz started her career at Google, focusing on the ad tech space. Farnaz then joined Snap, leading Snap's AR monetization team before scaling to run Snap's Platform and product engineering. Farnaz earned her bachelor's degree in computer science from Sharif University of Technology before moving to the U.S. to pursue a Ph.D. in computer science from the University of Southern California. After fulfilling the credits for a master’s degree, she decided to enter the tech industry where she could contribute to human progress by bringing products to millions of users.Join us at ELC Annual 2025ELC Annual is the premier event for engineering leaders. This is our biggest event of the year: 1,000+ CTOs, VPs & Directors in San Francisco @ ELC Annual 2025 for two days of leadership breakthroughs, tactical peer learning & curated connections!🔗 Get your ticket now → https://sfelc.com/annual2025 SHOW NOTES:Taking on product & design 3 months into a new role (3:01)Going from delivery to discovery: mindset shifts for eng leaders (5:58)Identifying the current state of engineering, product & design (10:59)Decision-making based on anecdotes vs. data (12:50)Pivoting strategies to optimize for small, fast teams to improve cross-functional collaboration (15:04)Signals to pivot your product approach & ****make different bets (16:59)Complementary skill sets for rapid iteration (19:14)How to avoid silencing critical input & transform team frustration into product insight (20:41)Applying the 80/20 rule to complex product surfaces (23:46)Case Study: Reprioritizing the LinkTree product w/ 80/20 approach (25:46)Bringing on a strategic pro

Wade Chambers, Chief Engineering Officer @ Amplitude, joins us to discuss what it looks like to empower individual engineers & overall engineering teams and recommendations for creating a culture that cultivates ownership! First, Wade defines what true ownership looks like – and what it doesn’t look like. We cover frameworks for identifying & cultivating high ownership in individuals & across teams, implementing systems that encourage ownership, communicating shared vision / goals, and coaching engineers when passing the baton of ownership. We also discuss navigating difficult conversations around empowerment / ownership – or lack thereof – and Wade shares examples of impactful questions to ask.ABOUT WADE CHAMBERSWade Chambers will be leading Engineering at Amplitude. Amplitude is the leading digital analytics platform that helps companies unlock the power of their products. Wade has over 25 years of engineering leadership experience, both advising companies and being hands-on in key leadership positions at companies such as Included Health, Twitter, TellApart, Proofpoint, Yahoo, and Opsware. He is a deep technical expert with a proven track record of scaling teams, leaders, market-defining technology innovations, and business growth.Join us at ELC Annual 2025ELC Annual is the premier event for engineering leaders. This is our biggest event of the year: 1,000+ CTOs, VPs & Directors in San Francisco @ ELC Annual 2025 for two days of leadership breakthroughs, tactical peer learning & curated connections!🔗 Get your ticket now → https://sfelc.com/annual2025 SHOW NOTES:Why empowering engineering teams to own their mission matters (3:16)Common traps that prevent eng leaders from empowering teams (5:15)Understanding the “why” behind ownership & systemizing individual ownership (7:09)Systems change for empowerment: Aligning company vision, outcomes, competencies & behaviors (9:48)How to bring someone from low ownership back to high ownership (13:49)Developing trust & having tough conversations around ownership (15:17)Nonobvious factors to that erode ownership over time (17:42)Empowering teams through meaningful missions, clear expectations, defining success, & ongoing check-ins (20:55)Identifying engineers w/ competencies & behaviors that align w/ your org’s vision & goals (24:00)When having too much ownership becomes a problem (27:22)Wade’s process for officially transferring ownership (28:47)Coaching and navigating conversations around ownership (32:01)Impactful questions to ask during the coaching / check in process (34:08)Closing gaps in leadership competencies & behaviors (37:27)Coaching leaders to align per

In this episode, we’re back with more insights from our local community leaders — discussing leadership insights on strategic decision-making, managing technical debt and fostering true cross-functional partnerships! Funmi Oludaiye (New York City) shares strategies for building strong cross-functional relationships between eng & business leaders. Ketan Gupta (London) breaks down the STIR framework for managing tech debt & aligning it with business value. And Sasha Hall (Toronto) works through examples of how to balance decisive (fast) vs. thoughtful (slow) decision-making. You’ll also learn some of these leaders’ best tips for diving in & getting involved with your local ELC community!ABOUT FUNMI OLUDAIYEFunmi is a Managing Director and the Head of the Digital Risk Office for Enterprise Partnerships at Goldman Sachs, where she is pioneering a first-of-its-kind global initiative to embed critical business, security, and engineering risk practices within the engineering organization. With nearly 15 years of experience as a software engineer, architect, and engineering manager, she has a proven track record of leading high-performing teams, delivering innovative technology solutions, and championing best practices in developer experience and productivity across large-scale engineering teams. Most recently, she was the Head of Engineering for Consumer Deposits at Marcus by Goldman Sachs, and prior to that, she led the product engineering teams that built and launched the firm's award-winning credit card partnerships with Apple and later, General Motors. Funmi is a passionate advocate for underrepresented groups in the technology industry and is committed to mentoring the next generation of engineering leaders. Her wealth of experience and dedication to driving positive change make her a sought-after speaker and advisor.ABOUT KETAN GUPTAKetan is a seasoned engineering leader with 13+ years in software development, cloud, architecture, product delivery, and organizational leadership. He excels at building high-performing engineering teams and driving strategic initiatives. As an active community builder, he contributes to the Engineering Leaders Community and champions software craftsmanship.ABOUT SASHA HALLSasha Hall is an Engineering Manager at Planitar Inc, makers of iGUIDE. A University of Waterloo graduate with over 5 years of leadership experience at Pegasus Aeronautics and Deep Trekker, Sasha brings valuable insights on decisive leadership, effective communication, and strategic vision in growing organizations. Their career path through underwater robotics at Deep Trekker, aerial drone systems at Pegasus Aeronautics, and spatial mapp

In this episode, Vinod Marur (SVP of Engineering @ Databricks) shares his approach to recalibrating leadership priorities as organizations scale. Vinod breaks down his personal recalibration framework—why he does it every 3–6 months, signals that it’s time to reassess, and how to design communication and collaboration structures that reduce information asymmetry during periods of rapid growth. We dive into rewriting hiring playbooks, tailoring recruitment pitches, and the impact of AI on hiring. Plus actionable strategies for onboarding and empowering senior leaders, identifying the highest-leverage problems to solve, and finding champions to carry key initiatives forward.ABOUT VINOD MARURVinod Marur is the SVP of Engineering at Databricks. He was previously at Rubrik where he served as SVP Engineering and established a mature engineering organization geared for rapid product development and innovation with a deep focus on product quality and organizational development. Prior to that Vinod spent nearly 15 years in leadership roles across some of Google’s most critical business units, including Search, Ads, and Payments as well as tapping into his passion for developer platforms to create and lead the Actions on Google platform, used by third parties to develop for Google Assistant and other Google products.Join us at ELC Annual 2025ELC Annual is the premier event for engineering leaders. This is our biggest event of the year: 1,000+ CTOs, VPs & Directors in San Francisco @ ELC Annual 2025 for two days of leadership breakthroughs, tactical peer learning & curated connections!🔗 Get your ticket now → https://sfelc.com/annual2025SHOW NOTES:Vinod’s process for recalibrating his leadership focus / priorities (2:25)Why routine can be dangerous & the mental shift required to prioritize impact (4:17)Examples of pivoting & how Vinod’s leadership priorities adapted (7:57)Strategies for assessing core priorities when scaling (9:39)Identifying where the most leverage is for your time (11:05)Signals that it’s time to recalibrate your organization’s priorities (13:27)Solving for information asymmetry: designing communication and collaboration structures (16:20)Rewriting hiring playbooks & tailoring recruitment pitches in a shifting market (18:56)Hiring tactics that worked five years ago that don’t anymore (21:21)The impact of AI on hiring practices (22:55)Current factors impacting hiring engineering leaders (25:30)Vinod’s framework for identifying the right problems to solve when transitioning to a new role (27:14)“The best leaders often start small, and progress to tackle larger problems” (28:33)Strategies for accelerating the impact of

Jon Hyman (Co-Founder and CTO @ Braze) shares the pivotal moments that shaped the company - from being the only person on call in the early years to identifying (and pivoting) product-market fit. Jon discusses how they navigated early-stage failure modes, carved out areas of product ownership, and made the shift to enterprise customers. Plus how leadership priorities evolve pre- vs. post-IPO and the next evolution of Jon’s leadership growth after almost 14 years at Braze.ABOUT JON HYMANJon 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.ABOUT BRAZEBraze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.™ Braze allows any marketer to collect and take action on any amount of data from any source, so they can creatively engage with customers in real time, across channels from one platform. From cross-channel messaging and journey orchestration to Al-powered experimentation and optimization, Braze enables companies to build and maintain absolutely engaging relationships with their customers that foster growth and loyalty. The company has been recognized as a 2024 U.S. News & World Report Best Companies to Work For, 2024 Best Small & Medium Workplaces in Europe by Great Place to Work®, 2024 Fortune Best Workplaces for Women™ by Great Place to Work® and was named a Leader by Gartner® in the 2024 Magic Quadrant™ for Multichannel Marketing Hubs and a Strong Performer in The Forrester Wave™: Email Marketing Service Providers, Q3 2024.  Braze is headquartered in New York with 15 offices across North America, Europe, and APAC. Learn more at braze.com.Join us at ELC Annual 2025ELC Annual is the premier event for engineering leaders. This is our biggest event of the year: 1,000+ CTOs, VPs & Directors in San Francisco @ ELC Annual 2025 for two days of leadership breakthroughs, tactical peer learning & curated connections!🔗 Get your ticket now → <a href="https://sfelc.

ABOUT RUKMINI REDDYRukmini Reddy is the Senior Vice President of Engineering, responsible for managing product and platform delivery, infrastructure, and data science. Reddy joins PagerDuty from Slack where she guided the vision, strategy, and execution of a comprehensive re-architecture, transforming the messaging software into an automation platform that empowered users to streamline their work.Additionally, Rukmini spent over a decade in senior executive roles at various enterprise companies, where she built a strong track record in driving engineering and product strategy during periods of hyper-growth and product transformation across SaaS, B2B, and B2C business models.Rukmini has a master of science degree in computer engineering from the University of Arkansas and earned a bachelor’s degree from Osmania University in computer science and engineering.SHOW NOTES:How the role of engineering leadership has evolved from 2021 to 2025 (2:35)The rising importance of financial acumen & enduring importance of resilience in engineering leadership (5:28)Key questions to ground and align your team with mission, vision, customer impact, and position to win the market (7:04)What it means to become the leader your business needs (9:31)“Hugging the elephant” and overcoming fear & uncertainty in 2021 vs. today (12:26)Five questions to help you lead your team through transitions and change (16:03)How to incorporate this framework to drive org change with empathy (18:10)How to address questions about job security and future roles within an organization (20:21)Strategies to guide your team through unspoken fears & unknowns (23:47)Rukmini’s advice to create high-trust, high-impact sources of support through fear, uncertainty, and doubt for the first time (25:19)Navigating org change from first principles (27:21)How to move from the “informed pessimism” dip to “curious optimism” as a team & org (30:00)Using evangelism & experimentation to tackle common adoption fears (34:07)Examples of enablement & skill development / delivery (37:32)The role of enforcement in the adoption transformation curve (39:07)Rapid fire questions (42:33)LINKS AND RESOURCESGood Strategy Bad Strategy: The Difference and Why It Matters -Richard P. Rumelt clarifies the muddled thinking underlying too many strategies and provides a clear way to create and implement a powerful action-oriented strategy for the real world.This episode wouldn’t have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJe

ABOUT ELIOT HOROWITZEliot Horowitz is the Founder and CEO of Viam, an engineering platform unlocking AI, automation, and data for devices in the physical world. With a deep commitment to advancing technology, Eliot leads Viam in helping companies build solutions across robotics, food and beverage, climate, marine, industrial manufacturing, and more.A career software developer and technology leader, Eliot co-founded MongoDB in 2007, writing the core code base for the pioneering database and leading the engineering and product teams for 13 years as CTO. MongoDB, which went public in 2017, has since reached a market cap of over $20 billion. Before MongoDB, he co-founded the ecommerce company ShopWiki and served as CTO, and he began his career in software development in the R&D group of adtech firm DoubleClick.Eliot is passionate about using technology to address pressing societal issues, including working with WAVS to protect marine life in the North Atlantic and supporting Billion Oyster Project’s work to help restore New York Harbor’s ecosystem.SHOW NOTES:The origin story of founding Viam (2:56)How Viam can be a game-changing platform, accelerating robotics software & hardware 10x to 100x (4:33)The ideation journey behind Viam: Building a platform that simplifies the integration of hardware and software development (6:11)Solving challenges with seamless APIs, a modular system, the right abstraction layers, and a comprehensive platform (9:54)Key questions for identifying the right abstraction layers at Viam (11:32)Optimizing your platform for flexibility and ease of use (13:32)The evolution of product building, from first-hand experience to customer-driven (16:33)How Eliot’s MongoDB Experience shaped Viam’s user-centric approach, open-source strategy, business model & ecosystem approach (18:48)Cultivating developer communities & leveraging community insights at MongoDB & Viam (23:01)Frameworks for deciding on your business model & pricing (24:52)Eliot’s approach to building developer tools & products used by engineers (26:23)Aligning your eng team & stakeholders on the product vision (29:51)What it means to deeply understand engineers and how they interact with your product (31:10)Strategies for eng leaders to better connect with customers (34:38)Viam’s real-world applications & what’s next (36:31)Rapid fire questions (39:31)LINKS AND RESOURCESViam - At Viam, we believe in the power of technology to make our world smarter, happier, and more sustainable. We're building a revolutionary engineering platform for problem-solving in the physical world, so that innovators from all disciplines can address huma