AI Agent Quality Lead & Engineering Manager

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

Job summary

Google Mountain View, CA is hiring a Tech Lead Manager for Business Agent Quality. The role focuses on owning the technical roadmap for AI agent evaluation, observations, and scaling reliability across Google’s commerce ecosystem.

Ideal candidates bring 8+ years in software engineering/architecture, experience managing teams, and a track record with AI tools integration and quality metrics. US-based compensation includes significant bonus and equity.

Qualifications

• Bachelor's degree or equivalent practical experience is required.
• 8 years of software engineering and architecture experience testing, and launching software products.
• Experience integrating generative AI tools or LLM interfaces into workflows.
• Experience with establishing standards for evaluation and quality metrics.
• Experience as a people manager.

Responsibilities

• Own the technical goal for evaluating, observing, and iterating on AI agent performance across Google’s commerce ecosystem.
• Lead the development of evaluation infrastructure and automated rating systems to measure conversation helpfulness and factuality at scale.
• Bridge applied AI and engineering excellence to transition evaluation frameworks into a self-service platform for internal partners.
• Solve complex reliability issues to maintain high quality standards for LLM reasoning and low-latency agent pipelines.
• Provide direction while mentoring and growing a nimble, high-performing engineering team.

Skills

8 years of software engineering and架?

Education

Bachelor's degree or equivalent practical experience

Master’s degree or PhD in Engineering, Computer Science, or a related technical field

Job description

Google Mountain View, CA is hiring a Tech Lead Manager for Business Agent Quality. The role focuses on owning the technical roadmap for AI agent evaluation, observations, and scaling reliability across Google’s commerce ecosystem.

Ideal candidates bring 8+ years in software engineering/architecture, experience managing teams, and a track record with AI tools integration and quality metrics. US-based compensation includes significant bonus and equity.