Director, Product Management, Health and Life Science AIGoogle 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.
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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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