Lead the charge in Generative AI and Data Cloud as a Senior Software Engineering Manager. This role offers a unique opportunity to blend deep technical expertise with impactful team leadership. You will guide a team of engineers, shape product strategy, and drive innovation in one of Google's most dynamic areas.

Join a team that is at the forefront of transforming businesses through cutting-edge technology. Google Cloud empowers organizations worldwide to achieve digital transformation and solve their most complex challenges with enterprise-grade solutions.

This position involves in-person interviews as part of the hiring process. Your leadership will be crucial in developing and deploying large-scale, international projects.

Define and communicate team priorities that align with overarching organizational objectives, ensuring strategy, processes, and decisions are synchronized across multiple teams.

Set clear performance and development expectations for individuals, providing regular feedback and coaching to foster growth.

Shape the long-term technical vision and roadmap, anticipating future requirements and infrastructure needs while evolving the current plans.

Oversee system designs and conduct thorough code reviews for product and system development, addressing complex and ambiguous problems.

Ensure adherence to best practices in code quality, including style guidelines, version control, accuracy, testability, and efficiency.

A Bachelor's degree or equivalent practical experience is required, alongside a minimum of 8 years in software development.

Demonstrate 7 years of experience in technical project strategy, ML design, and optimizing ML infrastructure, covering deployment, evaluation, data processing, debugging, and fine-tuning.

Possess 5 years of experience in a technical leadership role and 5 years in people or team management.

Bring 2 years of experience with state-of-the-art Generative AI techniques such as Large Language Models (LLMs), Multi-Modal AI, or Large Vision Models, including related concepts like language modeling and computer vision.

Preferred qualifications include a Master’s degree or PhD in a relevant technical field and 5 years of experience in a complex, matrixed organization.