Senior Software Engineering Manager, AI/ML

Google; Sunnyvale (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google is seeking a Software Engineering Manager to lead multiple teams across projects spanning information retrieval, AI, NLP, distributed computing, and large-scale system design. You will guide technical direction, mentor engineers, and help drive product strategy within Google Cloud initiatives.

You will manage projects, define roadmaps, and accelerate autonomous AI-enabled development while collaborating across sites internationally to deliver high-impact results.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience with software development.
• 5 years of experience in a technical leadership role.
• 5 years of experience in a people management or team leadership role.
• 5 years of experience with generative AI agents.

Responsibilities

• Set and communicate team priorities that support the broader organization's goals.
• Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals.
• Develop the long-term technical goal and roadmap within, and often beyond, the scope of your teams.
• Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems.
• Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.

Skills

Software development

Technical leadership

People management

Generative AI agents

Education

Bachelor’s degree or equivalent

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience with software development.
• 5 years of experience in a technical leadership role.
• 5 years of experience in a people management or team leadership role.
• 5 years of experience with generative AI agents.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 5 years of experience working in a complex, matrixed organization.

About The Job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; 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.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

In this role, you must possess deep, frontier-level AI expertise and will be responsible for defining technical roadmap and accelerate Autonomous, Agentic development, AI-Engineering, and Agent Harness innovations to drive high-excellence execution across AutoCloud priorities. The role requires a leader who can drive substantial outcomes in the "Agentic era" by solving novel AI-specific problems at planet scale and establishing key platforms as authoritative systems within the Google Cloud ecosystem.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting‑edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google.

• Set and communicate team priorities that support the broader organization's goals. 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.
• Develop the long‑term technical goal and roadmap within, and often beyond, the scope of your teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
• Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems.
• Drive technical project strategy, lead large‑scale ML infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.