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Google

Product Manager II, Applied AI, Automotive AI Agent

Google

Published 16 May 2026
New York, NY, USA
163K - 237K USD Annual
Full Time
27500 - 275000 people

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Role Highlights

Languages used

GO

Key skills

Machine Learning
Product Management
Product Development
Product Owner
AI
Packaging
Multimodal
Interfaces
Cloud
Research

Tools, Libraries and Frameworks

GCP
IOS SDK
Android

Description

The individual in this role will manage an automotive AI agent platform by collaborating with engineering teams to deliver software development kits and tools. They will work directly with automotive manufacturers to understand requirements and position technical solutions effectively. The role involves defining product roadmaps and determining investment areas for new models and features. Additionally, the person will coordinate with internal partners to advocate for specific use cases and transition features from research to customer-facing applications. This position requires guiding products through the entire execution cycle, from initial conception to final launch.

Required Qualifications and Skills

Candidates must possess a bachelor's degree or equivalent practical experience. A minimum of five years of experience in product management or a related technical role is required, including two years of experience taking technical products from conception to launch. The role necessitates the ability to drive progress, solve complex problems, and mentor junior team members. Proficiency in English is mandatory for all roles at the company.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Google

Size

275773

Website

goo.gle

HQ

Mountain View, US

Public/Private

Public Company

Description

At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.

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