Software Engineering Manager, Generative AI, Google Home Conversational Experiences

• Design and productize scalable generative AI architectures to significantly improve natural language understanding, multi-modal inputs, and context ingestion.
• Lead the technical strategy and execution for the Gemini for Home conversational dialog stack across task-oriented and open-domain interactions.
• Optimize production conversational systems to deliver step-function improvements in end-to-end latency, reliability, execution safety, and real-world user experience.
• Partner closely with research scientists, product managers, and data scientists to evaluate, fine-tune, and deploy foundation models.
• Manage, mentor, and grow an initial team of software engineers while fostering a high-velocity engineering culture.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
  
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 3 years of experience in a technical leadership role.
• 2 years of experience with GenAI techniques (e.g., Large Language Models (LLMs), Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
• 2 years of experience in a people management or team leadership role.

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.
  
• Applied research expertise with LLMs for NLP purposes.
• Ability to effectively operate with flexibility in a fast paced, constantly evolving team environment.
• Excellent written and verbal communication skills in English.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
  
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 3 years of experience in a technical leadership role.
• 2 years of experience with GenAI techniques (e.g., Large Language Models (LLMs), Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
• 2 years of experience in a people management or team leadership role.