G

Google

Runs Search and YouTube and builds Gemini AI

Technical Program Management Lead - Technical Risk Engineering

Program ManagementPosted on Nov 12
Full-timeNew York, NY, 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 managing cross-functional technical programs.
  • Experience managing software engineering programs end-to-end.
  • Experience in technical program management.
  • Experience leading projects through the Software Development Life Cycle, system integration, or system infrastructure.

Responsibilities

  • Design automation standards and agile intake processes that align priorities from team to executive levels across the organization.
  • Build seamless, low-friction workflows and purposeful artifacts that reduce reporting bloat and support meaningful decision-making.
  • Drive critical programs individually while strategically planning Technical Program Manager capacity distribution across the portfolio.
  • Use technical judgment to close gaps between compliance and engineering by designing and executing Privacy, Safety & Security Program Management Office infrastructure.
  • Nurture talent, partner with peers to shape team culture, and orient the organization for success.
  • Transform work processes in the domain from manual approaches to automation- and AI-first planning.
  • Influence privacy and compliance program priorities, processes, and strategic direction at the Director and Vice President level.
  • Develop processes and relationships to create structure from unstructured planning funnels, using technology, industry frameworks, and strategic approaches to address ambiguous planning and execution challenges.
  • Lead complex, multidisciplinary projects from start to finish; plan requirements, identify risks, manage project schedules, and communicate with cross-functional partners.
  • Explain team analyses and recommendations to executives and discuss technical tradeoffs in product development with engineers.

Desired Qualifications

  • Experience rolling out new processes or tools to resistant stakeholders and driving adoption through a clear value proposition and empathy.
  • Direct experience architecting operating models for medium-scale engineering organizations of 100 or more people.
  • Fluency in the applied use of large language models across technical and strategic domains, supported by relevant experience and output.
  • Ability to read and write code and scripts, such as Apps Script, Python, or SQL, to automate tasks and build custom reporting solutions.
  • Ability to influence Directors and Vice Presidents without authority, particularly regarding roadmap trade-offs and resource allocation.

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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