Product Support Manager, Pixel Differentiated Care

Google Google · Big Tech · Pittsburgh, PA +3

This role focuses on leading the strategy and execution of AI-powered support experiences for Google's Pixel Ecosystem products. It involves leveraging generative AI automation, AI orchestration, and agent plans to create personalized and intelligent customer care models, aiming to improve user journeys and foster loyalty. The role bridges product engineering and customer support operations to deliver data-driven support.

What you'd actually do

  1. Lead the launch and continuous optimization of generative AI-powered help guides for pixel ecosystem products through AI orchestration and building agent plans. Partner with cross-functional teams to ensure data accuracy, accessibility, and alignment with overall product strategy.
  2. Partner with product and engineering to define, build and deploy on-device diagnostic experiences for ecosystem devices, enabling automated troubleshooting for critical user issues and optimizing seamless cross-surface user journeys.
  3. Design and implement personalized support journeys and technical treatments to enhance the experience for premium users.
  4. Lead cross-functional initiatives to streamline and personalize the end-to-end user journey across all surfaces, from onboarding to upgrade.
  5. Bridge the gap between product area and gUP product teams to define, develop, and deliver integrated support experiences, ensuring that internal tools are optimized to support unique device requirements and user journeys.

Skills

Required

  • Project/program management
  • Consulting
  • Client facing role
  • Technical aptitude
  • Cross-functional strategy and execution

Nice to have

  • MBA or advanced degree
  • Experience operating in global markets
  • Leading cross-functional collaboration
  • Communicating technical concepts to various audiences
  • Presenting regularly to executive leadership
  • Problem-solving and troubleshooting skills
  • Thought leadership
  • Ability to influence cross-functional stakeholders

What the JD emphasized

  • AI orchestration
  • building agent plans
  • generative AI automation
  • personalized customer care models
  • on-device diagnostics

Other signals

  • generative AI automation
  • AI-powered support experiences
  • personalized, AI-driven resolutions
  • AI orchestration
  • agent plans