in this role, you will leverage state-of-the-art AI to transform the vast knowledge stored in drive into features that supercharge user productivity. While your primary mandate is delivering user-facing features, you will also architect and maintain the critical backend infrastructure responsible for processing and serving derived data to power these AI experiences at scale.
AI will change the future of work in profound ways, and our products— Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Lead a team of software engineers to deliver excellent, scalable, efficient, and sustainable products.
Provide technical leadership and hold high technical excellence. Contribute thought leadership and system design opinions.
Collaborate with other Engineering teams, Product Managers, and cross-functional leaders, and manage important deadlines.
Exhibit strong product instincts, understand how the team's technical work meets the business needs for the customers. Negotiate with cross-functional partners to arrive at the best balance between engineering effort, system complexity, and customer value.
Recruit top talent, develop and support your team. Provide an environment where everyone can do their very best work.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
3 years of experience in a technical leadership role.
2 years of experience in a people management or team leadership role.
Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Preferred qualifications
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
5 years of experience leading ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Bachelor’s degree or equivalent practical experience.
8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
3 years of experience in a technical leadership role.
2 years of experience in a people management or team leadership role.
Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
