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Job Description
- Lead, scale, and mentor a specialized team of scientific AI co-engineers and researchers. Define the strategic roadmap for the AI for science incubation practice, aligning closely with DeepMind and Cloud Engineering.
- Serve as the executive technical sponsor for major scientific and R&D accounts. Collaborate with customers to integrate frontier models into their proprietary R&D pipelines.
- Act as the critical feedback loop between external scientific enterprises and Google's internal research teams. Translate early-adopter friction in scientific use cases into actionable insights that inform the commercialization of our scientific AI portfolio.
- Drive the technical incubation and adoption of scientific bets to achieve significant market validation and ARR milestones.
- Oversee the creation of production-ready reference architectures, scientific AI "recipes," and best practices to enable the broader Google Cloud Go-To-Market teams in the life sciences and healthcare verticals.