Manager, Support Enablement, Platform Solutions and Delivery, Cloud Support

Google Google · Big Tech · Sunnyvale, CA +1

Manager role focused on transforming support tooling from assisted to autonomous support by leading the Agentic AI strategy. This involves governing the federation of AI agents, designing governance and maintenance processes, and bridging operations and engineering to build solutions for case management, troubleshooting, and workflow automation.

What you'd actually do

  1. Build domain expertise on the team to act as the primary liaison between support operations and engineering teams when building the required solutions.
  2. Evolve the troubleshooting tools to meet the needs of our global employee and vendor-managed Support Delivery teams, and the growing needs of Cloud Support.
  3. Be part of shaping the agentic evolution of cloud support in the tooling and troubleshooting space, transitioning from an assisted to an AI autonomous support.
  4. Govern the federation of AI agents to enable scaled growth.
  5. Minimize tool-based operational friction and eliminate swivel-chairing across systems to maximize agent efficiency.

Skills

Required

  • program management
  • product management
  • business operations
  • systems strategy and operations within global customer support
  • people management
  • managing a team of program managers
  • managing case management workflows and tooling

Nice to have

  • Salesforce (Agentforce)
  • Google Enterprise for Customers (GECX)
  • defining, designing, and orchestrating Agentic AI solutions within a global support ecosystem
  • leading and owning programs
  • addressing multi-dimensional problems
  • Google Cloud Assist (GCA)
  • influencing and aligning cross-functional stakeholders

What the JD emphasized

  • Agentic Artificial Intelligence (AI) strategy
  • federation of specialized AI agents
  • governance and maintenance process design
  • autonomous support
  • AI autonomous support

Other signals

  • AI autonomous support
  • federation of specialized AI agents
  • governance and maintenance process design
  • autonomous workflows