Google is looking for a Software Engineering Manager to lead a team focused on generating generative AI data and evaluations for Google's AI initiatives. The role involves managing engineers, contributing to product strategy, and developing the team to support large-scale projects in areas like AI, natural language processing, and distributed computing.
Requirements
- 8 years of experience in software development.
- 3 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end including JavaScript or TypeScript, HTML, CSS or equivalent.
- 3 years of experience in a technical leadership role overseeing projects.
- 8 years of experience in software development.
- 5 years of experience building and developing large-scale infrastructure.
- Experience in distributed systems or networks, or with compute technologies, storage, or hardware architecture.
Responsibilities
- Develop the mid-term technical goals and roadmap within the scope of your team.
- Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
- Deliver and launch tools/solutions to collect, verify and deliver data/evals for a variety of GenAI use cases, including evaluation and improvement of generative AI models and launches.
- Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Optimize your own code and ensure Engineers are able to optimize theirs.
- Manage engineers across multiple teams and locations.
- Oversee the deployment of large-scale projects across multiple sites internationally.
Other
- Bachelor’s degree, or equivalent practical experience.
- 2 years of experience in a people management, supervision/team leadership role.
- Master's degree or PhD in Computer Science or related technical field.
- 3 years of experience working in a structured organization.
- Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and selection-making across teams.
