Software Engineering Manager, Retrieval Quality
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with C++, large-scale distributed systems, and technical infrastructure.
Preferred qualifications:
- Experience with image processing, computer vision, or machine learning applications.
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.
The Retrieval Quality team works on problems that cross the boundary between retrieval infrastructure and search quality.
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.
Responsibilities
- Define and drive the technical roadmap and outlook for the team, balancing immediate product needs with long-term engineering excellence and system health.
- Manage team staffing, career development, and performance, providing regular coaching and feedback to help each team member reach their full potential.
- Oversee the architectural design and implementation of highly scalable and performant features, ensuring technical complexity remains manageable as the system evolves.
- Drive AI transformation within the team, strategically using AI/ML methods to improve engineering productivity and solve open-ended technical problems.
- Collaborate with research, product, and cross-functional partners to identify innovation opportunities and represent the engineering team in strategic planning.
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