Google

Manager role focused on transforming support tooling from assisted to autonomous support by leading the Agentic AI strategy. This involves governing the federation of AI agents, designing governance and maintenance processes, and bridging operations and engineering to build solutions for case management, troubleshooting, and workflow automation.

This role focuses on architecting and guiding the AI intelligence strategy for Demand Planning and promotion management systems within Google's Platforms and Devices organization. The goal is to create an AI-native future for commercial platforms by enabling teams, processes, and AI Agents to work together. The Lead will design predictive decision models and actionable insights to enhance business growth and operational efficiency, modernize planning workflows, and improve demand forecast accuracy by leveraging AI. Responsibilities include defining AI goals, product needs for AI-driven tools, leading cross-functional teams to integrate AI into demand planning, implementing solutions using low-code and agentic frameworks, and defining KPIs for AI solutions.

This role sits at the intersection of product development and creative storytelling within Google Search Marketing. The Creative Technologist will bridge the gap between engineers, researchers, and creatives by prototyping and developing novel demos that showcase the capabilities of AI features like generative AI, visual search, and multimodal experiences. The role involves translating complex technology into compelling technical storytelling, identifying new use cases, and executing technical demonstrations for high-visibility events. It requires a blend of technical and creative skills to inspire teams and develop breakthrough creative concepts.

Software Engineer role focused on building and supporting infrastructure components for Google Ads, specifically developing LLM-based agentic AI solutions and related infrastructure. The role involves writing Java code, participating in design reviews, and contributing to documentation for AI agents.

Customer Engineer II, Applied AI, Google Cloud. This role involves partnering with technical sales teams as an Applied AI subject matter expert to help customers understand and leverage Google Cloud's Generative AI solutions, particularly for customer experience applications. Responsibilities include engaging with customers, understanding their business and technical requirements, developing cloud solutions, conducting Proofs of Concept, and troubleshooting technical issues related to Google's first-party AI offerings. The role requires expertise in conversational AI, building or leveraging AI solutions/ML APIs, and presenting practical solutions to technical and executive stakeholders.

Senior Staff Software Engineer for Google Slides, focusing on integrating GenAI features. This role involves overseeing technical strategy, leading development of AI-powered features using Gemini and Nano Banana, and collaborating with Google DeepMind. The goal is to enhance presentation creation through AI-powered tools, impacting billions of users.