Photos Mission Tech Lead, Applied AI, Full Stack

Photos Mission Tech Lead, Applied AI, Full Stack

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile;

the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits Learn more about benefits at Google.

Responsibilities:

• Define and steward the long-term engineering goal, technical strategy, and architectural roadmap for critical domains, ensuring scalability, resilience, and alignment with broader company goals.
• Develop in highly ambiguous environments, translating vague product concepts and high-level business objectives into concrete, executable technical frameworks and production-ready realities.
• Act as a high-velocity catalyst for Generative AI product features.
• Prototype and validate zero-to-one concepts rapidly to get tangible proof-of-concepts in front of leadership and development teams.
• Lead/partner technical engagements with key first-party teams (e.g., GDM, Search) to design, align on, and co-develop infrastructure solutions.
• Translate technical architectures into clear, compelling narratives for both executive leadership and engineering teams.

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.