Google

Software Engineering Manager II, AI/ML, Google Cloud

Sunnyvale, CA, USA · Mid

Sponsorship not specified$207k-$301kDetected 19 hours ago

JavaScriptPythonJavaC++GCPMachine LearningNLPUI DesignProduct StrategyLeadership

About the role

Align strategy, processes, and decision-making across teams. - Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals.

Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
Develop the mid-term technical goal and roadmap within the scope of your (often multiple) team(s). Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.
Set and communicate team priorities that support the broader organization's goals.

Bachelor's degree or equivalent practical experience.
8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
3 years of experience in a technical leadership role.
2 years of experience in a people management or team leadership role.

Master's degree or PhD in Engineering, Computer Science, or a related technical field.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
the list goes on and is growing every day.
Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
Google Cloud accelerates every organization's ability to digitally transform its business and industry.
Align strategy, processes, and decision-making across teams.
Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals.
Meet regularly with individuals to discuss performance and development and provide feedback and coaching.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

This listing is sourced directly from Google's careers page and normalized into a canonical job model.