G

Google

Runs Search and YouTube and builds Gemini AI

Technical Program Manager - End-to-End AI Systems Integration

Program ManagementConfirmed live in the last 24 hours
Full-timeMountain View, CA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in a technical field, or equivalent practical experience.
  • Eight years of experience in program management.
  • Experience in technical program management, artificial intelligence, and software development.

Responsibilities

  • Drive end-to-end technical integration and delivery of artificial intelligence 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, application programming interface contracts, latency and compute budgets, and release milestones.
  • Partner with Infrastructure and Site Reliability Engineering teams to manage serving economics, establish production Service Level Objectives, 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.
  • Own technical execution and cross-functional orchestration to bring reasoning, multimodal, and agentic capabilities from research into production at global scale.
  • Partner across the lifecycle with Research Scientists, Infrastructure Engineers, Site Reliability Engineering, Product Management, User Experience, and governance partners across Legal, Privacy, Security, and Trust and Safety to resolve technical dependencies, establish continuous evaluation feedback loops, and ship AI products safely and reliably.

Desired Qualifications

  • Eight years of experience managing cross-functional or cross-team projects.
  • Experience with production artificial intelligence systems, including modern large language model training lifecycles, inference economics, and Site Reliability Engineering practices.
  • Experience managing artificial intelligence 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 artificial intelligence platforms, evaluations, and Software Development Life Cycle management.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1998

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