Google

Software Engineering Manager, Google Photos Android

Google · Mountain View, California, United States · $207K–$301K/yr

Software Development · 10,001+ employees

2 d ago
Principal (10+ yrs) Full-time United States
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About the role

Lead and manage a team of Android engineers to build AI-powered features for Google Photos. Partner with cross-functional teams to translate ideas into functional demos and ensure high-quality, scalable deployments.

What they look for

Java Kotlin Android Application Development Technical Leadership People Management Generative AI Large Language Models System Design Product Strategy Cross-functional Collaboration

Requirements

Requires a Bachelor's degree with at least 8 years of software development experience in Java or Kotlin and 3 years of Android development. Must have a minimum of 3 years in technical leadership and 2 years in people management.

Benefits

Bonus Target Equity Benefits

Full description

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.

The team focuses on building AI powered user facing features to bring innovations in LLM to billions of users. The team works on areas like: launching next generation technologies in features. Examples include the AI titles for memories and Ask Photos. Our current focus is bringing understanding of Photos to benefit users interaction with Google, and making the user's task in Photos frictionless with the help of AI agents, build and scale Photos LLM infrastructure, expand its multi-modal and agent capabilities and build and scale Photos Life Understanding, providing insight to make Photos and Gemini more personal and bring value to users

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google. 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 delve into the technical nuances 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.