Senior Gen AI Product Manager, Digital Health

Company:  Ai Build Limited
Location: Mountain View
Closing Date: 25/10/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Published 17 Sep 2024

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Mountain View, CA, USA

$183,100-$251,950 annually

Full Time

Role Highlights

Computer Science

UI UX

AI

Research

Electronics

Deployment

Product Management

Security

Server

Tools, Libraries and Frameworks

Mountain View

Description

The company aims to empower individuals to lead healthier lives by utilizing a range of technology, including wearables and AI. The role involves managing the delivery of digital health products that cater to consumer needs across various platforms. Responsibilities include collaborating with cross-functional teams to develop health products based on user insights and business strategy. The role also focuses on driving feature development to enhance consumer health solutions.

Required Qualifications and Skills

The role requires a Bachelor of Science or Master’s degree in Computer Science or a related field, or equivalent experience. Candidates should have over eight years of experience in product management, including a minimum of three years in managing AI or machine learning products. It is essential for applicants to exhibit proficiency in managing technology projects and articulate product strategies aligned with business needs. Strong communication skills are also necessary for effective collaboration with various teams.

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

Size

753

HQ

Mountain View, US

Description

The Samsung AI Research Center (SAIC) in Toronto is a critical component of Samsung's global AI Research efforts, which aim to conduct long-term research with significant potential impact on future Samsung products. Located in the vibrant AI community of Toronto, near the University of Toronto, SAIC-Toronto strives for innovation in highly visible, challenging, and interdisciplinary projects. As part of Samsung's wider AI research initiative that spans across various centers worldwide, including in Cambridge, Moscow, Mountain View, and Korea, the Toronto center contributes to reaching hundreds of millions of users worldwide with its research outcomes. SAIC-Toronto endeavors to stay at the forefront of AI research, benefiting from its strategic location and collaborative environment.

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