G

Google

Runs Search and YouTube and builds Gemini AI

Manager – Technical Program Manager - GenAI Safety

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.
  • Five years of experience in leadership roles, with or without direct reports.

Responsibilities

  • Drive end-to-end delivery of supervised fine-tuning and reinforcement learning training data for AI Safety by establishing durable project structures, clear milestones, quality bars, and operating rhythms to ensure consistent on-time execution.
  • Manage a portfolio spanning near-term model development through long-term artificial general intelligence safety and alignment research, balancing shipping urgency against foundational scientific investment and sequencing work to support near-term launches and long-horizon research progress.
  • Coordinate cross-functionally across Gemini Release, Model Behavior, and Multi-turn research teams, aligning stakeholders on shared plans, dependencies, and timelines and building consensus without direct authority.
  • Engage deeply with technical details, including safety evaluations and loss functions, to ensure accurate measurement, sound tradeoffs, and credible solution development alongside researchers and research engineers.
  • Surface blockers, streamline execution, drive tooling improvements that unblock research and engineering teams, and manage high-visibility executive reviews with clear, decision-ready communication.
  • Define and execute the operational strategy for generative AI post-training, bridging research and production-scale delivery.
  • Coordinate large-scale model training and evaluation infrastructure and drive a portfolio of frontier artificial general intelligence safety and alignment initiatives.
  • Plan requirements with internal customers and guide projects through the full project lifecycle, including managing schedules, identifying risks, and communicating risks to stakeholders.
  • Manage engineering-specific programs and teams.

Desired Qualifications

  • Track record of executing fast-paced programs and consistently delivering on schedule under shifting priorities and tight deadlines while partnering with engineering and product stakeholders.
  • Strong grounding in machine learning and artificial intelligence principles, including an understanding of how model development differs from traditional software engineering practices in evaluation, data, and iteration cycles.
  • Ability to translate complex technical concepts into clear, compelling, actionable narratives for executive leadership, cross-functional partners, and non-technical stakeholders.
  • Fluent English communication and comfort working flexibly across global time zones.
  • Commitment to advancing AI safety and continually deepening subject-matter expertise in the field.

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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