TechPod Talks

EverOps

Are you a tech leader or executive dealing with the real pressures of running production at scale, building teams with limited bandwidth, and figuring out how to actually make AI work? These aren't hypothetical challenges, they're what's keeping engineering leaders up right now, and solid, practical advice is hard to find. Host Stephen Koza, CEO at EverOps, created TechPod Talks to bridge the gap between how leadership perceives challenges in this field and the realities on the ground. The show features conversations with proven technical leaders who share real-world perspectives on the operational problems engineering teams are solving right now. These are the kinds of conversations you'd normally have with your peers in tech over a beer at the end of a long week. No fluff, just solid advice that's actually being implemented. We want you to hear from people who aren't just talking about what needs to happen in tech, but are actively living it. Some of the topics we're covering include: - Scaling engineering teams - Modernizing infrastructure - Getting AI out of pilot and into production - Making hard operational calls without a defined playbook Get past the generic advice and find actionable insights from those who are actively in the arena.

  1. Oct 21

    Platform Shifts, Skeuomorphic AI, and Change Management as the Real Constraint with Abe Ankumah

    Abe Ankumah has spent his career at the infrastructure layer, building through the internet, mobility, cloud, and now AI. He was part of the founding engineering team at Fulcrum Microsystems working on low latency switching silicon, co-founded and led Nyansa through its acquisition by VMware, then scaled the SD-WAN and SASE business past 18,000 customers as VP and GM before serving as Chief Product Officer at 1Password. He is now investing, advising, and, as Stephen gets him to admit on tape, building again. Stephen and Abe get into why adopting AI without rethinking your process just produces shiny things, what it means that every agent inside an enterprise is effectively a privileged user, and why he keeps going back to the entrepreneurial ecosystem on the African continent. Main Topics Covered: Skeuomorphism in AI adoption: why filming a stage play instead of making a movie is exactly what most companies are doing with AI, and how speed without rewiring the process is lipstick on a pigAgents as privileged users: the credential and identity problem Abe was building toward at 1Password, and what just in time access for a single task actually requiresWhat it takes to sell the company you built: distribution, strategic fit, and why the VMware acquisition was the start of something rather than the end of itBrutal intellectual honesty and solving problems from the customer backwards, learned running product and business operations at Aruba NetworksChange management as the binding constraint on AI: new organizations can be AI native from day one, established ones have to bring people along deliberatelyTalent is uniformly distributed, opportunity is not: education, entrepreneurship, and why Abe sees sub-Saharan Africa where Southeast Asia was 20 years ago Links & Resources Connect with Abe Ankumah: LinkedIn Connect with Stephen Koza: LinkedIn Connect with EverOps: Website | LinkedIn Companies & References: Ashesi University Foundation, where Abe serves on the Board of Trustees1Password, where Abe was Chief Product OfficerNyansa, the network analytics company Abe co-founded in 2013, acquired by VMware in 2020

    Platform Shifts, Skeuomorphic AI, and Change Management as the Real Constraint with Abe Ankumah
  2. Sep 30

    Product Market Fit, Secure by Design, and Betting on the Models with Daghan Altas

    Product Market Fit, Secure by Design, and Betting on the Models with Daghan Altas Daghan Altas is Head of Product at Semgrep, a code security company that helps engineering teams find and fix vulnerabilities in the code they ship. He's spent his career moving between product and sales, from creating the MX security appliance and SD-WAN product line at Cisco Meraki to building Semgrep's sales function as Chief Revenue Officer before returning to lead product. Stephen and Daghan, who worked together at Meraki, get into how to recognize real product market fit, why AI has turned code security into a race for defender velocity, and why he believes human code review is on its way out. Main Topics Covered: Building the MX product line at Meraki: why most of product management comes down to calling customers, and his test for product market fit, a $100K deal closing without him in the roomBreaking the sales leader catch-22 at Semgrep: taking over sales before the company could attract a seasoned sales leader, and why the best product leaders have real empathy for sellersSecure by design over vulnerability hunting: why X-raying a finished bridge is the wrong model for software security, and why the fix is more cultural than technicalBetting on the models: why a product built to patch a model's current weakness has a one-year lifespan, and why the real race in code security is closing the full loop from detection to remediation to proof of workWhere to start if you're behind on AI: clock eight hours a week, start with the omelet before the full Italian menu, and put your strongest AI people on one team instead of spreading them thinCoding stopped being the bottleneck: why line-by-line human PR review is going away, and why humans should stay focused on architecture and threat modeling Links & Resources Connect with Daghan Altas: LinkedIn Connect with Stephen Koza: LinkedIn Connect with EverOps: Website | LinkedIn References: OWASP Top 10 from the OWASP FoundationProject Glasswing from AnthropicSemgrep, where Daghan leads product

    Product Market Fit, Secure by Design, and Betting on the Models with Daghan Altas
  3. Sep 16

    Coding Stopped Being the Bottleneck. So What Replaced It?

    Back in April, Stephen Koza opened episode two with a claim: coding is not the bottleneck, it is everything else. Over the next ten episodes he put a version of that question to ten engineering leaders, and they did not agree with each other. This episode runs their answers side by side and lands on the one thing they had in common, which is that almost none of the answers were technical. Main Topics Covered: Where the bottleneck actually went once code generation stopped being the constraint, from code review to deployment to go to marketWhy story points are collapsing to a factor of one, and which agile roles can be handed to an agentRequest volume jumping 25x in a month, and why cost optimization is always the first work to get droppedToken costs passing human costs, and the case for hiring people backWhy AI pilots stall on org structure rather than technology, and the argument for thinning vertically before flattening horizontallyThe guests who reject the premise, from the limits of vibe coding to the junior engineer pipeline Guests featured in this episode: Mark Sass, Episode 1: LinkedInFrancisco Trindade, Episode 2: LinkedInDr. Janet Sherlock, Episode 3: LinkedInChris Robertson, Episode 4: LinkedInMeir Wasserman, Episode 5: LinkedInRobert Gonzalez, Episode 6: LinkedInChris Harden, Episode 7: LinkedInJose Gonzalez, Episode 8: LinkedInTom Kershaw, Episode 9: LinkedInPatrick McKinney, Episode 10: LinkedIn Connect with Stephen Koza: LinkedIn Connect with EverOps: Website | LinkedIn References: 2025 DORA State of AI-assisted Software DevelopmentThe full write up and checklist on the EverOps site

    Coding Stopped Being the Bottleneck. So What Replaced It?
  4. Sep 2

    Building to Understand, Storytelling, and AI Adoption Friction with Joel Cloralt

    Joel Cloralt is Director of Product at Smartcar, a connected vehicle API platform that helps developers build applications connecting to cars, from routing Uber EVs by battery level to smartly managing grid load when everyone plugs in at 5pm. He's spent 15 years building products across fintech, developer tooling, and connected vehicle tech, all while shipping his own apps on the side. Stephen and Joel get into what it actually takes to make a hard pivot work, why clarity beats charisma in leadership, and where AI is genuinely changing how engineers work and where it's just noise. Main Topics Covered: Leading the B2B to B2C pivot at Vault and the decision-making process that made the Acorns acquisition possible, and how to move on 80% conviction when 100% isn't an optionWhy Joel builds his own apps as a product leader: shipping a Japanese-learning app in Tokyo taught him the difference between what's impressive and what people actually useIntrovert leadership in practice: why the room doesn't need you to be an extrovert, it needs you to be clear, and how preparation becomes the whole advantageStorytelling as an organizational tool: why ideas that travel through a company are wrapped in narrative, not bullet points, and how playing a customer interview video to an engineering org beats any slide deckAI at Smartcar: building a developer-facing MCP, making documentation agent-friendly, and the real heavy lift of making sure what the agent responds with is actually accurateThe underrated skill of knowing when to stop: in product, the effort gets praised, but judgment about what not to build is rarer and worth more Links & Resources Connect with Joel Cloralt: LinkedIn Connect with Stephen Koza: LinkedIn Connect with EverOps: Website | LinkedIn Books & References: Storyworthy by Matthew DicksThe Pyramid Principle by Barbara MintoThe One Thing by Gary Keller

    Building to Understand, Storytelling, and AI Adoption Friction with Joel Cloralt
  5. Aug 19

    Career Pivots, Authentic Leadership, and the Agentic Era with Stephen Koza

    TechPod Talks producer Lauren Dort turns the mic on host Stephen Koza, CEO of EverOps. Stephen traces his path from electrical engineering student at UT Austin to enterprise sales, through Silicon Valley startups and investing, to acquiring and running EverOps since February 2022. The conversation covers what authentic leadership actually looks like in practice, how to hire for ceiling rather than credentials, why most companies are failing to get ROI from AI, and what it will really take before production systems can run autonomously. Main Topics Covered What the squiggly career path actually teaches you, and why putting too much pressure on early-career planning often works against youHow to maintain credibility with technical teams when you are not the most technical person in the roomWhy caring is a leadership behavior, not a personality trait, and what it looks like when someone actually does it versus just says itThe difference between hard to work with and toxic, and why conflating the two is a costly leadership mistakeThe rising star hiring profile: what to look for in candidates whose ceiling far exceeds their current credentialsWhy most AI initiatives are not making it to production, and what companies need to get right about data and infrastructure before the agentic era delivers real returns Links & Resources Connect with Stephen Koza: LinkedInConnect with Lauren Hochman Dort: LinkedInConnect with EverOps: Website | LinkedIn References Radical Candor by Kim ScottWhat You Do Is Who You Are by Ben Horowitz

    Career Pivots, Authentic Leadership, and the Agentic Era with Stephen Koza

About

Are you a tech leader or executive dealing with the real pressures of running production at scale, building teams with limited bandwidth, and figuring out how to actually make AI work? These aren't hypothetical challenges, they're what's keeping engineering leaders up right now, and solid, practical advice is hard to find. Host Stephen Koza, CEO at EverOps, created TechPod Talks to bridge the gap between how leadership perceives challenges in this field and the realities on the ground. The show features conversations with proven technical leaders who share real-world perspectives on the operational problems engineering teams are solving right now. These are the kinds of conversations you'd normally have with your peers in tech over a beer at the end of a long week. No fluff, just solid advice that's actually being implemented. We want you to hear from people who aren't just talking about what needs to happen in tech, but are actively living it. Some of the topics we're covering include: - Scaling engineering teams - Modernizing infrastructure - Getting AI out of pilot and into production - Making hard operational calls without a defined playbook Get past the generic advice and find actionable insights from those who are actively in the arena.