Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Lead use-case analysis and author Product Requirements Documents (PRDs) to translate user needs into technical specifications. Design agentic workflows and tool integrations, collaborating with Engineering to deliver high-quality interfaces across surfaces that meet stringent performance standards.
Establish deterministic evaluation metrics to benchmark and assess tool quality, analyze results, and resolve performance issues. Partner directly with end users to debug quality concerns.
Coordinate product testing and phased launches for new AI capabilities. Oversee platform access controls and perform adversarial testing to evaluate agent failure modes, such as API payload errors and execution timeouts.
Develop change management playbooks and direct targeted onboarding initiatives to drive adoption.
Identify, communicate, and collaborate with relevant stakeholders within one or more teams to drive impact and work toward mutual goals. Build, maintain and enhance business, operational, and management dashboards.
Minimum qualifications
Bachelor's degree in a technical field, or equivalent practical experience.
5 years of experience in program management.
Experience in software engineering, technical solution development or product development.
Experience designing, building, and deploying AI models and intelligent agents.
Preferred qualifications
5 years of experience managing cross-functional or cross-team projects.
Experience driving internal tool adoption and executing structured change management strategies across large-scale engineering teams.
Experience partnering with engineering teams to rapidly iterate, prototype, deliver and debug software solutions.
Domain expertise in agentic development (e.g., enterprise RAG systems, Large Language Model (LLM) guardrails, and context management frameworks).
Bachelor's degree in a technical field, or equivalent practical experience.
5 years of experience in program management.
Experience in software engineering, technical solution development or product development.
Experience designing, building, and deploying AI models and intelligent agents.
