Scaling AI and Building Trust in High-Performing Engineering Teams

How do you build AI systems people actually trust—especially in high-stakes industries like healthcare and finance?

In this episode of Tech Teams Today, we sit down with John Van Vranken, CTO at Mobile Pricecard, to unpack lessons from his work across machine learning infrastructure, monolith-to-microservice migrations, and scaling distributed engineering teams.

John shares what most leaders get wrong about AI adoption, why trust beats raw accuracy, and how to lead engineering orgs through massive transitions—without losing velocity or morale.

📌 Chapters:
00:00 Introduction and Guest Background
00:54 Building Trusted AI Systems
03:07 When Not to Use Machine Learning
04:47 Challenges in AI Adoption
07:18 Migrating to Microservices
15:36 Balancing Velocity and Security
16:54 Ensuring Cultural Cohesion in Remote Teams
19:29 Hiring and Scaling Remote Teams
25:13 Growing Teams Organically
25:23 The Journey to Product Manager
26:46 The Value of Generalists
29:05 Building Effective Teams
33:15 AI Tooling and Productivity
36:46 Leadership Philosophy and Learning from Mistakes
40:17 Staying Sharp in a Fast-Paced Tech World
43:29 Advice for Engineering Leaders on AI
47:09 Conclusion and Final Thoughts