『#165 How to Lead Engineering Teams in the AI Era: JJ Friedman on Embedded, Cross-Border Talent』のカバーアート

#165 How to Lead Engineering Teams in the AI Era: JJ Friedman on Embedded, Cross-Border Talent

#165 How to Lead Engineering Teams in the AI Era: JJ Friedman on Embedded, Cross-Border Talent

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JJ Friedman is the Director of Product Engineering at PLACE (formerly Remine), and this conversation is a clinic on engineering leadership in the AI era. In this PreVetted Podcast episode, JJ and Federico Ramallo dig into what actually moves a team forward: judgment over syntax, trust over control, and treating embedded engineers as long-tenure teammates rather than disposable project labor.


JJ took an unusual route into engineering leadership. He studied philosophy and economics at Occidental College, played college basketball, then sold luxury real estate in Beverly Hills before open-source work pulled him into software. After a bootcamp he joined Remine, climbing from senior engineer to tech lead to director over nearly five years, through the company's acquisition by PLACE. Along the way he co-built Shipm8, a Kubernetes health-monitoring developer tool.


He gets specific about what each transition required. As tech lead he took over a struggling two-year single sign-on and MLS dashboard project and shipped it live in four months by keeping the IDP foundation and restarting the product layer. He frames the real job of an engineering manager as translating between business and technical stakeholders, humbling your own ideas, and removing friction so the team can deliver.


On AI, JJ and Federico land in the same place: craftsmanship is never replaced, and AI augments a strong team rather than replacing one. They talk through why the best engineers think through problems before writing code, why you should hand AI the tests, docs, and merge requests instead of the core build, and Federico's "AI arbitrage vs labor arbitrage" thesis, where a long-tenure team that holds business context is what makes agents productive.


The back half is about people. JJ shares his third philosophy of contracting, hiring embedded talent you treat as full-time, which is how Density Labs engineers became tech leads and go-to front-end and mobile developers on his team. They cover mentoring junior engineers, building trust ("trust but verify," and a "do not assume" agent prompt), and what more leaders should understand about running cross-border engineering teams.


About JJ Friedman:

- https://www.linkedin.com/in/jj-friedman/

- https://remine.com


About Federico Ramallo

Founder of Density Labs, the AI Engineering Partner for the mid-market, helping US companies ship AI to production, backed by a decade of shipping software with distributed engineering teams. Author of The Invisible Distance, the operating system for engineering leaders running teams across borders. Host of The PreVetted Podcast: 150+ conversations with VPs of Engineering, CTOs, and operators on what actually works.

- LinkedIn: https://www.linkedin.com/in/framallo/

- Website: https://densitylabs.io

- PreVetted: https://prevetted.ai


PreVetted Podcast

- Podcast: https://prevetted.ai/podcast

- X: https://x.com/PrevettedPod

- LinkedIn: https://www.linkedin.com/company/prevetted-podcast


TIMESTAMPS:

00:00 Introduction to JJ Friedman and Remine

02:35 Journey from Sports to Engineering

05:11 The Open Source Experience

07:46 Understanding the Engineering Mindset

10:27 Craftsmanship vs. AI in Engineering

12:59 Career Progression at Remine

14:04 The Role of Management in Engineering

16:01 Building Trust and Communication

18:51 Navigating Business and Technical Needs

21:34 The Importance of Asking Questions

27:36 The Evolution of Collaboration with Density Labs

28:21 Philosophies Behind Contracting and Talent Acquisition

33:24 Building a Symbiotic Relationship with Contractors

34:24 Contributions of Density Labs Engineers

39:09 The Importance of Mentorship and Growth in Engineering

43:25 Understanding Cross-Border Engineering Teams

47:18 AI and Labor: A New Paradigm

54:03 Final Thoughts and Advice for Engineering Leaders


#EngineeringLeadership #AIAugmentation #EmbeddedTeams #TechLeadership #CrossBorderTeams

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