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Google

Senior Product Manager, Applied AI, Google Cloud

Google

Published 14 May 2026
Bangalore, India
Full Time
27500 - 275000 people

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Role Highlights

Languages used

Key skills

AI
Machine Learning
Data Science
API
Product Management
Product Development
API Design
Generative AI
Packaging
Cloud

Tools, Libraries and Frameworks

GCP
IOS
Rest
JSON

Description

This role involves guiding products from conception to launch by connecting technical and business domains. The individual will define goals and tactics for building enterprise-grade products, specifically focusing on healthcare APIs and risk models. Responsibilities include managing the interoperability of complex data to impact financial crime detection and healthcare solutions. The position requires collaborating with cross-functional teams to design features and drive product development. Additionally, the role involves managing relationships with global organizations and presenting strategies to executive audiences.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience. A minimum of 8 years of experience in product management or a related technical role is required, including 3 years of experience taking technical products from conception to launch. Applicants must have experience developing or launching products within artificial intelligence or machine learning. Proficiency in English is a requirement for the role.

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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