Product Manager II, Health AI, Google Research at Google

About the job

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

AI has the potential to transform healthcare, but high costs and barriers for external developers currently inhibit this progress. Our mission is to build AI-based tools that accelerate the adoption of third-party Health AI applications. A core part of our strategy involves enhancing Google tools like Gemini and Gemma while providing open-source resources through our Health AI Developer Foundations (HAI-DEF) program.

Google Research addresses the challenges defining today’s and tomorrow’s technology. From conducting fundamental research to influencing product development, we have the unique opportunity to impact technology used by billions. We aspire to make discoveries that benefit everyone, and sharing our research is central to our approach. To fuel progress across the field, we regularly publish in academic journals, release open-source projects, and integrate our research into Google products.

The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Develop product strategy based on business, regulatory, legal, privacy, clinical, compliance, and technical considerations.

• Collaborate with engineering, clinical, and user-experience teams to define a funnel of compelling R&D projects and prioritize to create a steady pipeline of state-of-the-art product opportunities.

• Collaborate with product areas across Google including business development, legal, and compliance to ensure timely and thorough execution of projects.

• Collaborate with key opinion leaders, external partners, and intra-Alphabet teams.

• Stay abreast of the trends in applied AI technologies and the healthcare industries. Identify new research and development opportunities across the competitive landscape.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 5 years of experience in product management or 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, etc.).

• Experience working at the intersection of AI and Health including areas such as computer aided diagnostics, healthcare delivery, biotech, and pharma.

Preferred qualifications

• Master's degree, MBA, MPH, MD, JD, or graduate degree in a management or STEM field.

• Experience operating within and across cross-functional teams (Product Management, Program Management, Engineering, Business Development, Compliance, Legal, Finance, Marketing, etc.) while selling product vision to external partners.

• Experience at large institutions, with a demonstrated track record of forming, leading, and pivoting cohesive teams.

• Domain knowledge of data acquisition, IRB, tech-transfer, or university relations.