Product Strategy and Operations Principal, Emergent AI Infrastructure

Google Google · Big Tech · Sunnyvale, CA +1

This role is a Product Strategy and Operations Principal for Emergent AI Infrastructure within Google's AI2 organization. The role focuses on developing business and product strategies, driving planning, and performing pricing and costing analysis for AI infrastructure. It involves working closely with product management, engineering, sales, marketing, and other cross-functional teams to support the delivery of compute infrastructure that accelerates AI innovation at Google scale. The role requires experience in management consulting, product management, or analytics within a technology company, with a focus on AI infrastructure, cloud, or B2B businesses.

What you'd actually do

  1. Drive market size engaged analysis, and vertical industry analysis to answer key business questions.
  2. Develop commercial models, pricing/packaging strategies, business cases, and financial models/projections.Build agreements specific margin and Total Cost of Ownership economics.
  3. Lead annual and quarterly end-to-end planning (e.g., objectives and key results, zero-based budgeting, headcount, operating expenses), translating AI2 priorities into actionable roadmaps while aligning cross-functional partners.
  4. Create sales enablement artifacts. Drive RFI responses from customers and partners on emergent infrastructure.
  5. Enable the product and engineering leadership to make sound long-term product strategy decisions to meet the needs of Google Cloud Platform.

Skills

Required

  • management consulting
  • product management
  • analytics in a technology company
  • analyzing data
  • managing multiple cross-functional programs or projects
  • managing operational initiatives across functional domains or geographies
  • artificial intelligence
  • AI infrastructure
  • cloud
  • enterprise/business-to-business (B2B) businesses

Nice to have

  • Advanced degree or equivalent practical experience
  • working with product and engineering teams
  • structure analysis
  • execute financial and data modeling
  • use data to derive business insights
  • deliver effective presentations
  • build partnerships with executive leaders and their teams
  • Excellent written and verbal communication skills

What the JD emphasized

  • AI infrastructure
  • product strategies
  • business plans
  • pricing and costing analysis
  • AI infrastructure (GPUs, TPUs)