Director, Product Management, Health and Life Science AI at MedPro USA Health Services, LLC.

Director, Product Management, Health and Life Science AI

Google

Published 26 Sep 2024

Share this job

Mountain View, CA, USA

$253,000-$363,000 annually

Full Time

27500 - 275000 people

Role Highlights

AI

Applied ML

Product Management

Full Stack

Product Development

Research

Startup

Search

Cloud

KPI

Tools, Libraries and Frameworks

GCP

Description

Google Research Health and Life Sciences AI focuses on catalyzing the adoption of human-centered AI in healthcare and life sciences. The role involves building and managing a high-performing product team, developing a strategic roadmap, and defining product vision aligned with the company's mission. The position requires close collaboration with engineering, research, and clinical teams to ensure successful development and implementation of AI-powered solutions. The ultimate goal is to enhance the quality, accessibility, and affordability of healthcare through innovative AI applications.

Required Qualifications and Skills

Candidates are required to have a master's degree in Engineering or Biotech along with 15 years of experience in Technical Product Management. They should have experience in scaling products from early-stage concepts to production and be knowledgeable about regulatory requirements in healthcare software development. Strong analytical, problem-solving, and organizational skills are also necessary, alongside the ability to lead projects in ambiguous environments. Preferred candidates may hold a PhD or MBA and have expertise in applied machine learning and AI.

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.

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.