Under The Hood: Automotive Storytelling
Under The Hood: Automotive Storytelling

Behind the Microphone: How 30 Episodes Get Made - Frantz Lohier Interviews Stephane Lagresle EP30 | Season Finale

20 December 2025 35:35 Stephane Lagresle

Listen to episode

About this episode

For the season finale of "Under the Hood: Automotive Storytelling," we're going behind the scenes. 

Frantz Lohier, the first guest of Season 1, reverses roles to interview Stéphane Lagresle about how 30 episodes with automotive executives actually get made. This isn't about interviewing techniques or podcast equipment. It's about the systematic approach to understanding what makes great conversations work in a technical industry.

What You'll Learn:

The Four-Hour Formula
How to prepare for high-stakes conversations with executives you've never met, using AI tools, pre-interview calls, and strategic research to create authentic dialogue regardless of topic complexity.

The Validation Discovery
Why the podcast's original hypothesis was wrong: Stéphane assumed automotive executives were skeptical about storytelling. Every single guest proved otherwise, confirming that narrative is now critical for cutting through technical noise and winning business.

The Machinery Behind Authenticity
From Google Notebook LM for research synthesis to the intentional structure that balances technical credibility with human connection, here's the process that makes preparation look effortless.

The Honest Part
Stéphane also shares something uncomfortable: he almost didn't start this podcast. An inner voice (he calls it "Alfred") kept him from posting on LinkedIn for years. This episode is about what happened when he decided to ignore that voice, and what months of systematic content creation actually produces.

Why This Episode Matters:

If you're preparing for CES presentations, investor pitches, or OEM meetings in 2025, this episode offers a blueprint for the kind of preparation that creates memorable conversations. If you're a tier-one supplier wondering why OEMs can't remember your presentation, ask yourself if you have a story that will resonate with your audience.

Your technology might be brilliant. Your storytelling is what makes it memorable.

🎧 Season 1 complete. Season 2 coming soon.

#UnderTheHood #AutomotiveStorytelling #B2BMarketing #PodcastProduction


"Under the Hood: Automotive Storytelling" uncovers the human narratives driving innovation in an industry that impacts lives worldwide. Hosted by Stéphane Lagresle, this podcast explores how the power of storytelling ultimately connects technology to humans.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Under The Hood: Automotive Storytelling. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.