Product Manager, Applied AI, Google Cloud

About the Product Manager, Applied AI, Google Cloud Role

At Google, we prioritize our users and are constantly adapting to the evolving world. As a Product Manager, Applied AI, Google Cloud, you will play a pivotal role in guiding innovative products from initial concept to successful launch by bridging the technical and business domains. Our collaborative Product Management team works closely with engineers, designers, and marketers to develop technologies that enhance access to information globally. You will be responsible for defining the strategy, analyzing, positioning, packaging, promoting, and tailoring solutions to meet user needs throughout the product lifecycle.

This position involves defining goals and tactics for building enterprise-grade products, specifically focusing on Healthcare APIs and Risk AI models designed to solve complex global problems. You will manage the interoperability of fragmented healthcare data to significantly impact the future of financial crime detection and prevention, owning key product areas that demand a deep understanding of AI/ML technologies and their practical applications.

Google Cloud empowers organizations to digitally transform their businesses and industries by providing enterprise-grade solutions powered by Google's cutting-edge technology. We also offer tools that enable developers to build more sustainably. Customers in over 200 countries and territories rely on Google Cloud as a trusted partner to foster growth and address their most critical business challenges.

Minimum Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management or a related technical role.
• 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1).
• Experience with the domain area of Generative AI or LLM's.

Preferred Qualifications

• 3 years of experience shipping AI products, specifically in Generative AI, large models, and balancing model quality with cost/benefit tradeoffs.
• Experience in API design (REST/JSON) and industry-specific data standards (FHIR, HL7, ICD-10, SNOMED) or EHR systems (Epic/Cerner).
• Experience in risk, compliance, or healthcare (Provider/Payer/Life Sciences) within frameworks like HIPAA, GxP, or financial risk governance.
• Ability to drive goals, PRDs, and Go-To-Market strategy while managing complex cross-functional stakeholders and global launches.
• Ability to think strategically with ambiguity, iterate for product-market fit, and present to C-suite audiences.

Responsibilities

• Define the goal, strategy, and roadmap for enterprise-grade products, including Google Cloud’s Healthcare API and Risk AI portfolios, while driving expansion into new global regions.
• Lead the design and specification of new features (e.g., FHIR-based APIs, medical imaging, and AML detection) by authoring comprehensive Product Requirements Documents (PRDs) and identifying key opportunities for growth.
• Manage critical relationships with global banks and innovative healthcare organizations, participate in executive briefings for C-suite audiences, and navigate enterprise readiness or incident response.
• Collaborate with cross-functional data science teams to optimize model quality, recommend best practices for labeling, sampling, and AI-driven investigations.
• Balance feature requests and project delivery across multiple modalities using robust frameworks that weigh effort and complexity against Objectives and Key Results (OKRs) and customer value.

Key skills/competency

• Product Management
• Generative AI
• Large Language Models (LLMs)
• Healthcare APIs
• Risk AI Models
• API Design (REST/JSON)
• Cross-functional Collaboration
• Go-To-Market Strategy
• Stakeholder Management
• Data Science Partnership