Made by Google Podcast

Rachid Finge

laura@digitaldeconstructed.co.uk

Booking Overview

A weekly, behind-the-scenes look at Google products, with Rachid Finge speaking with Googlers about how hardware, software, and AI come together to create user experiences. Great for PR pros targeting tech innovation, product leadership, and developer/consumer AI narratives in a short, snackable format.

Metrics

67 episodes, Weekly, 4.3 rating

<1k, Male, USA

Contact Information

laura@digitaldeconstructed.co.uk

Description

Dive into the world of Google: Every week, Rachid Finge talks to fellow Googlers about the latest #MadeByGoogle projects.The result? An exciting look behind the scenes.In a snackable 15 to 20 minutes, they explain how custom-designed hardware, powerful software and advances in artificial intelligence combine to create helpful -- and sometimes magical -- experiences for their users. Each episode promises insights, tips and tricks, a bit of nerd knowledge, and an anecdote or two. Listen to a new episode every Monday.Get more information about the Made by Google products here: store.google.com Hosted on Acast. See acast.com/privacy for more information.

Production Team

Host

Rachid Finge

Booking Intelligence

Booking Requirements

high

Typical Credentials:

Google product leaders, product managers, and engineering leaders (often with specific ownership over features such as AI capabilities, search, hardware UX, or device experiences).

Required Achievements:

Shipped consumer-facing Google features or platforms, Led/owned product work related to AI-enabled experiences (search, on-device AI, multimodal recognition), Experience across hardware + software integration for Pixel/Google devices

Recent Guest Discussions

Harsh Kharbanda - Circle To Search / Multi-object Recognition; Ai-driven Visual Search; Product Feature Explanation For Pixel Line., Munjal Shah - One-handed Gestures And AI Companion Functionality On Pixel Watch; Wrist Gesture Ux; Visual Hints And Muscle Memory.

Recent Topics

Artificial Intelligence, Consumer Electronics, Product Management, Machine Learning, Hardware, Software, Developer Tools, User Experience, Computer Vision, Mobile Devices

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