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.
In this role, you will oversee the technical strategy and execution across the entire Google Slides product, ensuring its continued success as a must-win platform within Workspace. You will provide comprehensive technical direction to software engineers, focusing on high-quality delivery, architectural integrity, and solving issues while integrating GenAI features into Slides.Your goal is to help presentation creators become more effective visual storytellers through AI-powered creation, design and visualization. You will achieve this by partnering with DeepMind and are leveraging Gemini's and Nano Banana's capabilities.
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.
The US base salary range for this full-time position is $262,000-$365,000 + 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
- Drive the technical goal, strategy, and architecture for Google Slides including platform investments, performance metrics, and technical debt management.
- Lead technical development and delivery of AI-powered features, ensuring Large Language Model (LLM) modeling, quality, and seamless integration across Gemini-powered slide creation, editing, multi-turn interactions, and agentic flows.
- Establish and lead collaborations with key internal partners including Google DeepMind (GDM) and the central AI Platform teams.
- Lead and mentor engineering team while directing project execution to stakeholders, serving as the primary technical point of contact and setting standards for engineering quality, testing, and monitoring.
- Define the product direction by partnering with product and UX leads to define the roadmap for Google Slides.
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience with full-stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
- 5 years of experience with design and architecture; and testing/launching software products.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- Experience as an Uber Technical Lead or Senior Staff Software Engineer in a large-scale product environment.
- Experience in applied AI, multimodal models, and GenAI technologies, with the ability to translate model capabilities into user-facing features.
- Experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Experience mentoring executive engineers and TLs and fostering a technical culture.