Tech Teams Today

Paul Snider is the Chief Technology Officer at Provation, where he leads engineering and DevOps teams whose products handle clinical documentation across 3,000 hospitals for roughly 50,000 clinicians.
Under his leadership, Provation has automated its software delivery pipeline while rapidly expanding its engineering base, including scaling an international office in Bangalore from 9 to 50 associates in just nine months.
While many technology leaders view automated software pipelines as a mechanism to trim headcount or fear high agent usage costs, Paul treats autonomous software factories as a growth lever to expand human teams and run 24/7 pipelines.
We discuss:
Navigating the AI Maturity Curve: How to transition your team from basic approved tools to integrated knowledge workflows, shared context harnesses, and autonomous SDLC orchestration.
Building a 24/7 Software Factory: How Provation routes Jira tickets through autonomous agents covering requirements, design, code, QA, and security to produce complete pull requests.
Removing the "Dishes" from Engineering: Why engineering leadership must focus on getting colleagues to work at the top of their license by offloading tedious toil to AI.
Autonomous Incident Investigation: How marrying DevOps SRE agents with developer workflows allows AI to investigate outages and suggest remediations before a human opens the incident.
Smart "Human-in-the-Loop" Escalations: Why pausing pipelines at the requirements stage for product manager review prevents PR review bottlenecks downstream.
Automated Compliance & Evidence Gathering: How regulated healthcare teams leverage AI to auto-generate test matrices, evidence trails, and security checks for every release.
Tackling Legacy Tech Debt: How AI agents pick up defined code patterns to collapse multi-year tech debt backlogs in a fraction of the time.
Intra-Procedure Healthcare AI: How Provation enables clinicians to document complex medical procedures using hands-free AI voice interactions during live operations.
Slashing AI Consumption Costs by 90%: How instrumenting OpenTelemetry enabled Provation to safely navigate GitHub's shift to consumption-based billing.
Scaling an AI Champion Network: How cross-functional AI enablement offices, weekly win bulletins, and office hours drive adoption across finance, sales, and customer success.
Managing Tech Change Curves: How to guide skeptical engineers through technological shifts using cultural safety, quick wins, and historical perspective.

Where to find Paul Snider:
LinkedIn: https://linkedin.com/in/paulsnider/
Website: https://paulsnider.net/

Where to find Josh Anderson:
LinkedIn: ⁠https://www.linkedin.com/in/joshuadavidanderson/⁠
Tech Teams Today: ⁠https://www.revelo.com/t3/podcast⁠

Tech Teams Today is produced in association with:
Revelo: Hire senior Latin American engineers in your time zone: ⁠⁠https://www.revelo.com⁠

Linda Tong is the CEO of Webflow, where she's turning a website builder into an agentic marketing platform while the tools change under her every month.
Linda is refreshingly open about what this pace costs. She wakes up most mornings with an overwhelming fear of being behind, and she's working out how to keep her team from feeling the same way.
We discuss:
Why there was no single "go AI-first" moment at Webflow, just a constant barrage of them
The rule behind Webflow's bias for action: decisions belong with the person closest to the problem
The 2 traits Linda hires for now: curiosity and resilience
The early-morning fear of being behind, and how she keeps it from spreading to her team
Refresh days and builder days: forcing time to recover and time to learn
Why good leaders say no to good ideas, and how to test a candidate's judgment by asking "why" 5 times
Project Assassin, and why deprecating a feature is 10x harder than building one
How 4 people got 4 different ARR numbers from AI, and the year of data work that fixed it
Her "every person is a different board game" model for leading a team
How falling from grace early in her career wiped out her ego and changed how she leads
Where to find Linda Tong:
LinkedIn: https://www.linkedin.com/in/lktong/
X: https://x.com/YayLT

Where to find Josh Anderson:
LinkedIn: https://www.linkedin.com/in/joshuadavidanderson/
Tech Teams Today: https://www.revelo.com/t3/podcast

Tech Teams Today is produced in association with:
Revelo: Hire senior Latin American engineers in your time zone: ⁠https://www.revelo.com⁠

Rob Zuber has been CTO at CircleCI for just over 12 years. He came in through an acquisition, shipped a PR that took down production in his first week, and now runs an engineering org of a little over 100 people while still writing code most days on a small team inside it.
He's also doing something almost nobody else is doing right now: hiring junior engineers on purpose, through a program built specifically for new grads. A year ago he was saying the opposite in public, and he'll tell you exactly where to find the receipts.
We got into what changed, what breaks when half your org adopts agents and half doesn't, and the one question Rob thinks separates the companies pulling ahead from everyone else.
What you'll learn:
Why Rob restarted junior hiring while the rest of the market stopped, and what the program actually looks like
The reason this moment is a leveler, and why "I don't know, let's figure it out" beats "come along little one, let me teach you"
How Rob interviews for comfort with the unknown, and the specific follow-up that makes a rehearsed answer fall apart
The email from a stranger that changed how he talks about failure across cultures
Reframing bets and hypotheses so a team stops guarding against being wrong
The real friction in AI adoption: not tooling, but one engineer deciding another one is reckless
Why Rob stopped deleting the agent's extraneous comments
Readable for humans versus readable for agents, and why he thinks great agent-readable code is something we'll discover rather than design
The ambiguity gap, and the 2 choices you have when your team can't absorb more change
Why nobody is managing your ability to handle the next level, and what that means if you're aiming at the CTO seat

Where to find Rob Zuber
LinkedIn: https://www.linkedin.com/in/robzuber/
Where to find Josh Anderson
Tech Teams Today: ⁠https://www.revelo.com/t3/home⁠
LinkedIn: ⁠https://www.linkedin.com/in/joshuadavidanderson/⁠

Doug Guttenberg owns AI transformation at DonerColle Partners, a creative agency, and he's never been a developer. Since early 2024, he's built a team of about 15 engineers and creative technologists, and most of them came out of an internal skunkworks he started with a small monthly budget.
Doug and Josh get into how that task force turned into a real team, the one rule that kept it from becoming a string of cool demos, why juniors aren't ahead of seniors on AI yet, and why the cost of switching models is mostly in our heads. Doug also shares the 2 things he hires for.
Where to find Doug Guttenberg
LinkedIn: https://www.linkedin.com/in/dougguttenberg/
Where to find Josh Anderson
Tech Teams Today: https://www.revelo.com/t3/homeLinkedIn: https://www.linkedin.com/in/joshuadavidanderson/
Referenced
Claude: https://claude.com
Claude Fable: https://www.anthropic.com/claude/fable
ChatGPT: https://chatgpt.com
Codex: https://openai.com/codex
Grok Bot: https://x.ai/news/introducing-grok-bot
OpenClaw: https://openclaw.ai
Model Context Protocol (MCP): https://modelcontextprotocol.io
Figma MCP server: https://help.figma.com/hc/en-us/articles/32132100833559
Adobe InDesign: https://www.adobe.com/products/indesign.html
J.A.R.V.I.S.: https://en.wikipedia.org/wiki/J.A.R.V.I.S.

Recommended books
Outliers by Malcolm Gladwell: https://en.wikipedia.org/wiki/Outliers_(book)
Meditations by Marcus Aurelius: https://en.wikipedia.org/wiki/Meditations

Kish Khemani runs AI architecture for B2B payments at REPAY, and he's been leading engineering teams since his first job in 1993, building a C++ compiler at a Silicon Valley startup.
His current team is roughly 20 people across the US, South America, and India, and he's kept it as 1 team on purpose. He explains why the pizza rule failed him at a previous company, why 3 teams of 6 turned into 2 teams of 9, and why it takes about 3 months to know if a structure is working.
The bigger part of the conversation is about what AI is doing to the way his team learns. Every check-in requires at least 2 peer reviews. The reviews still happen. But something in them has quietly changed.
Also covered: daytime and nighttime crews, why offshore contractors won't tell you the deadline is wrong until the week before, and how you run AI agents inside a payments platform when a single logic error costs millions.
About Our Guest:
Kish Khemani is VP of AI Architecture for B2B Payments at REPAY. He's led distributed engineering teams for 30+ years, starting in 1993 on a C++ compiler, and now runs AI architecture inside a payments platform. Connect with Kish on LinkedIn: https://www.linkedin.com/in/kishkhemani/
About Tech Teams Today:
Tech Teams Today is a podcast by Revelo where we sit down with engineering leaders to talk about how they build, scale, and lead high-performing tech teams. Real conversations. No fluff.
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