- We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
- Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Drive the end-to-end technical integration and delivery of AI capabilities across the full stack, connecting foundation models, agentic runtime harnesses, serving infrastructure, and product surfaces.
Partner with research and engineering teams to design, automate, and operationalize comprehensive evaluation pipelines, channeling real-world product telemetry back into model iteration.
Coordinate execution across a matrix of stakeholders to align system architectures, API contracts, latency/compute budgets, and release milestones.
Partner with Infrastructure and Site Reliability Engineering (SRE) teams to manage serving economics, establish production Service Level Objectives (SLOs), and build resilient deployment workflows.
Navigate complex launch readiness and compliance gates, driving red-teaming, adversarial robustness testing, data governance reviews, and safety alignment sign-offs.
Minimum qualifications
Bachelor's degree in a technical field, or equivalent practical experience.
8 years of experience in program management.
Experience in technical program management, artificial intelligence, and software development.
Preferred qualifications
8 years of experience managing cross-functional or cross-team projects.
Experience with production AI systems, including modern Large Language Model (LLM) training lifecycles, inference economics, and Site Reliability Engineering (SRE) practices.
Experience managing AI software launches through security, privacy, legal, and safety review processes.
Experience synthesizing research breakthroughs and evaluation metrics into roadmaps, architectural trade-offs, and executive decision frameworks.
Experience with AI platforms, evaluations, and Software Development Life Cycle (SDLC) management.
Bachelor's degree in a technical field, or equivalent practical experience.
8 years of experience in program management.
Experience in technical program management, artificial intelligence, and software development.
