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 Google Photos Memories team is dedicated to transforming how the world reminisces by building a next-generation experiences that serves as the heartbeat of the Photos Application (App). In this role, you will pioneer the next generation of reminiscing through rapid prototyping and exploring new experience paradigms. Upgrading the core memories experience by integrating Gemini and Generative Artificial Intelligence (Gen AI) to upgrade how users revisit their past through memories. Building for billions of users by ensuring our features are scalable and robust. Operating as a seamless cross-functional partner team to align our goals with Product and User Experience (UX) partners.

Google Photos is a photo sharing and storage service developed by Google. Photos is one of the most sought after products at Google and is looking for both client-side (web and mobile), with server-side (search, storage, serving) and machine intelligence (learning, computer vision) Software Engineers. We are dedicated to making Google experiences centered around the user.

The US base salary range for this full-time position is $207,000-$300,000 + 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.

Responsibilities

• Act as a cross-functional leader, partner closely with product, UX, analytics, and privacy teams to refine requirements, define success metrics, and ensure responsible and impactful feature launches.

• Get well versed in backend and artificial intelligence (AI) technology with great attention to detail: many feature launches require deep understanding of the system; be willing to dig deep into details and providing technical guidance.

• Grow in changing environments using a startup mindset to take risks, prototype rapidly, and maintain resilience.

• Nurture a great team culture, executing in a sustainable manner with a nurturing team environment.

• Grow the team to deliver even bigger team ambitions, ensuring every team member has a well defined plan to grow their careers.

Minimum qualifications

• Bachelor’s degree, or equivalent practical experience.

• 8 years of experience in software development (e.g., Java).

• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.

• 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 matrixed organization.

• Experience with Generative AI and Large Language Models (LLM).

• Experience with computer systems, specifically focused on software architecture and algorithm optimizations.

• Ability to work in a changing, collaborative, and creative environment with excellent communication skills.