Software Engineering Manager II, Agentic Planning and Memory

Experteer Overview In this role you will lead the Agentic Planning and Memory team to design and scale the next generation of proactive, memory-aware AI capabilities within Google Workspace. You will own system architecture for autonomous workflows, tool-calling, and context retention, collaborating with AI and product partners to deliver impactful improvements at scale. You’ll influence long-term technical strategy while guiding a growing team of engineers and ML experts. This is a mission-driven role at a global scale, shaping how productivity tools work 5-10 years into the future. Compensation / Benefits * Design and architect agentic planning and memory systems to ensure reliability and performance * Define the long-term technical roadmap for memory layers and planning infrastructure * Lead system designs enabling autonomous tool-calling and context awareness * Collaborate with cross-functional teams to integrate function-calling capabilities into core Workspace products * Manage organizational growth, staffing, and technical strategy for the team Tasks * Bachelor’s degree or equivalent practical experience * 8 years of software development experience in languages such as Python, C, C++, Java, or JavaScript * 5 years of experience in leading ML design and optimizing ML infrastructure (deployment, evaluation, data processing, debugging, fine tuning) * 3 years in a technical leadership role * 2 years of experience with state-of-the-art GenAI techniques (LLMs, multi-modal, large vision models) or related concepts (language modeling, computer vision) * 2 years of people management or team leadership experience Key requirements * bonus target * equity * benefits

_ organizational growth, staffing, and technical strategy for the team Tasks * Bachelor’s degree or equivalent practical experience * 8 years of software development experience in languages such as Python, C, C++, Java, or JavaScript * 5 years of experience in leading ML design and optimizing ML infrastructure (deployment, evaluation, data processing, debugging, fine tuning) * 3 years in a technical leadership role * 2 years of experience with state-of-the-art GenAI techniques (LLMs, multi-modal, large vision models) or related concepts (language modeling, computer vision) * 2 years of people management or team leadership experience Key requirements * bonus target * equity * benefits