Software Engineering Manager, AI Foundations Tools and Quality

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.

• Provide craft site strategy, communication, and alignment across the PA, functions, and geographies to accelerate the development and improve the quality of Android AI
• Grow the team's impact, build team's goal and strategy, and align with stakeholders on multiple priorities
• Design high-level strategy and technical roadmaps to enhance intelligent applications development, with focus on evaluation, quality, and performance on Pixel and Android in a private and safe manner
• Identify the key technical challenges and architect solutions such as crafting evaluation strategies, optimization goals and performance techniques to for a multitude of systems and processes
• Influence and inform executive leads about the technical direction
• Interface with multitude of teams across PAs and cross-functional partners to influence cross-team priority and roadmap

• Minimum qualifications: Bachelor’s degree or equivalent practical experience
• 8 years of experience with software development
• 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure
• 5 years of experience with one or more of the following: Speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field
• 5 years of experience in a technical leadership role
• 5 years of experience in a people management or team leadership role
• Preferred qualifications: 5 years of experience in toolchain, evaluation metrics design, data management techniques, or Android system development
• Experience with implementing compute-heavy algorithms on mobile systems
• Experience prototyping productive and innovative system from the ground up
• Ability to collaborate across US and APAC sites and timezones
• Ability to build mobile products in Android system
• Ability to modulate between development and team mentorship depending on the phase of team and projects

• Design high-level strategy and technical roadmaps to enhance intelligent applications development
• Influence and inform executive leads about the technical direction
• Identify the key technical challenges and architect solutions
• Collaborate with multiple teams across PAs and cross-functional partners
• Build mobile products in Android system
• Modulate between development and team mentorship depending on the phase of team and projects

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.