GenAI Home Conversational Systems Engineering Manager

Socket.dev; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google's Gemini for Home team seeks a technically oriented manager to evolve the conversational stack and productize bleeding-edge generative-AI solutions for Home devices and apps. You will lead architecture, collaborate across research, product, and data science, and drive end-to-end delivery.

The role focuses on scalable AI systems, latency, reliability, and user experience, with leadership responsibilities to mentor engineers and shape the technical roadmap for a fast-paced, innovative

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.
• 3 years of experience in a technical leadership role.
• 2 years of experience with GenAI techniques or related concepts.
• 2 years of experience in people management or team leadership.

Responsibilities

• 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 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.

Skills

Software development

ML design leadership

GenAI techniques

People management

Technical leadership

Education

Bachelor's degree or equivalent practical experience

Master’s degree or PhD in Engineering, CS, or related field

Job description

Google's Gemini for Home team seeks a technically oriented manager to evolve the conversational stack and productize bleeding-edge generative-AI solutions for Home devices and apps. You will lead architecture, collaborate across research, product, and data science, and drive end-to-end delivery.

The role focuses on scalable AI systems, latency, reliability, and user experience, with leadership responsibilities to mentor engineers and shape the technical roadmap for a fast-paced, innovative