Engineering Manager, CodeAI Foundations

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.
• Experience with machine learning infrastructure.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• Experience building, scaling, and productionizing AI/ML solutions.
• Experience with technical leadership in the AI/ML space.
• Experience as an applied ML engineer.
• Experience with Google's AI infrastructure, agent infra, and building scalable systems.
• Passion for machine learning, data analysis, and developer tools.

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.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

• Own the technical vision and end-to-end architecture for AI solutions, and help shape the strategic direction for next-gen AI efforts.
• Drive efforts from initial ideation, experimentation, and prototyping to build robust, scalable production systems, including close collaboration with partners for integration.
• Lead the team in building necessary evaluations and infrastructure to deliver high-quality solutions, driving end-to-end quality and development for new CUJs, and analyzing experiments.
• Build, mentor, and scale the team of engineers, promoting a culture of excellence, rapid prototyping, and high-quality execution.
• Partner with product team and stakeholders to convert CUJs into concrete technical requirements, and build collaborations across partner teams to deliver on high-impact solutions.