Software Engineering Manager, Google Photos Android
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development (Java or Kotlin).
- 3 years of experience with Android application development.
- 3 years of experience in a technical leadership role.
- 2 years of experience in a people management or team leadership role.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 3 years of experience working in a complex, matrixed organization.
- Experience with Generative AI and Large Language Models (LLM).
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.
Responsibilities
- Manage and lead a dedicated team of talented Android engineers.
- Execute many of the optimizations we do, requiring deep understanding of the system and willingness to dig deep into the weed and deliver impactful improvements.
- Lead the team to quickly translate ideas into functional demos, enabling swift iteration and collaboration with cross-functional teams.
- Partner closely with product, analytics, and privacy teams to refine requirements, define success metrics, and ensure responsible and impactful feature launches.
- Guide the team to build adaptable and resilient code that can evolve alongside advancements in Large Language Model (LLM) technology. Maintain the highest standards to guarantee a flawless experience for billions of users.
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