Impact Portfolio Lead, Health, DeepMind
USD 300k-333k / year + Equity
Impact Portfolio Lead, Health, DeepMind
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience in AI for health.
- 5 years of experience in product and program management for AI applications, developing roadmaps, and working with cross-functional teams to manage product lifecycles.
- Experience with AI ethics, safety, and responsibility within health, government, or regulatory sectors.
- Experience in people management.
Preferred qualifications:
- Experience working on enterprise health applications and products.
- Experience working on a health care policy, with governments, think tanks or NGOs (Non-Governmental Organisations).
- Experience collaborating with researchers and engineers.
- Knowledge of the global health delivery landscape, private and public payor ecosystems, challenges, and solutions.
- Ability to navigate ambiguity and work in a fast-moving environment, and collaborate effectively with colleagues, executive leadership, and partners.
- Excellent communication skills, with the ability to synthesize complex technical details into precise insights, establishing credibility with stakeholders.
About the job
Google’s Impact Accelerator has a unique role to develop solutions built on frontier AI technologies and expertise that benefit humanity.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
US: $300000 - $333000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Own the Health portfolio’s impact strategy, owning project roadmaps from prototyping to global launch. Identify opportunities to apply frontier AI technology, ensuring responsible adoption through product innovation.
- Build external partnerships to deploy, test, and refine models based on real-world feedback.
- Unite cross-functional research and engineering teams to enhance health outcomes and share insights across the Alphabet.
- Monitor the external landscape and engage with experts to foster public trust and act as a leader in AI for social good.
- Define success metrics and evaluate performance to accelerate high-value impact opportunities.
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