Senior Leadership Technical Program Manager, AI Data

Google Google · Big Tech · Mountain View, CA +1

Lead complex projects that explore the profound impact of data on the quality of AI models and products, spanning training, testing, evaluation, and adaptation. Work with engineering, product management, and other partners to define workstreams, requirements, schedules, resources, and milestones. Identify and implement risk mitigations and resolve issues. Provide project status updates to various audiences.

What you'd actually do

  1. Lead programs for tamper-proof lineage, transparent approvals and secured storage.
  2. Work with engineering, product management, and other partners to define all workstreams, requirements, schedules, resources, and milestones.
  3. Develop and maintain processes, monitoring, reporting, and communication channels to ensure effective execution of programs.
  4. Identify and implement risk mitigations and resolve issues.
  5. Provide project status updates to various audiences, including cross-functional teams and executives.

Skills

Required

  • program management
  • technical program management
  • data structures
  • machine learning algorithms

Nice to have

  • cross-functional project management
  • cross-team project management
  • complex technical project management
  • stakeholder management
  • risk mitigation
  • dependency management
  • cloud technologies
  • Google Cloud Platform
  • software development lifecycle
  • AI/ML services
  • compliance implications
  • communication
  • presentation skills

What the JD emphasized

  • technical expertise
  • technical tradeoffs
  • exceptional problem-solving skills
  • complex projects
  • data on the quality of our AI models and products
  • training, testing, evaluation, and adaptation
  • AI and Infrastructure team
  • unparalleled scale, efficiency, reliability and velocity
  • groundbreaking innovations
  • cutting-edge AI models
  • unparalleled computing power
  • essential platforms
  • world-leading hyperscale computing
  • TPUs
  • Vertex AI for Google Cloud
  • Google Global Networking
  • Data Center operations
  • systems research
  • technical field
  • equivalent practical experience
  • program management
  • data structures or machine learning algorithms
  • managing cross-functional or cross-team projects
  • managing complex, cross-functional technical projects and programs with multiple stakeholders in a fast-moving environment
  • navigating ambiguity
  • identifying and mitigating risks
  • managing dependencies
  • cloud technologies
  • software development lifecycle
  • grasp technical concepts related to AI/ML services and their compliance implications
  • Excellent communication and presentation skills
  • articulate complex compliance topics to both technical and non-technical audiences

Other signals

  • AI models and products
  • training, testing, evaluation, and adaptation
  • AI and Infrastructure team
  • data on the quality of our AI models