Program Manager III, Should Cost Analyst, Platforms and Devices

GoogleMountain View, CA
$159,000 - $231,000

About The Position

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines. As a Should Cost Analyst, you will serve as the "Technical Truth" of the Devices and Services group. You will lead the development and deployment of a physics-based "should-cost" framework, partnering with Global Supply Managers and Product Design (PD) Engineers to deconstruct hardware costs from the bottom up. In this role, you will be the architect of our cost strategy, establishing a high-fidelity, defensible cost floor based on manufacturing reality. You are an analyst with an engineering mindset who refuses to accept "market pricing" at face value. You possess the technical curiosity to investigate cycle times, machine rates, and material utilization, converting complex manufacturing variables into actionable financial insights. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. The US base salary range for this full-time position is $159,000-$231,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google [https://careers.google.com/benefits/].

Requirements

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience in program or project management.
  • 5 years of experience with manufacturing, supply chain management, or fulfillment planning and execution in a new product introduction (NPI) role.
  • Experience in cost analysis, should cost modeling, or commodity sourcing for hardware (e.g., display, cameras, mechanicals).

Nice To Haves

  • 5 years of experience managing cross-functional or cross-team projects.
  • Experience in the consumer electronics supply chain, particularly in sourcing for complex mechanical and electro-mechanical assemblies.
  • Experience with should cost tools (e.g., aPriori, Teamcenter Cost estimator, Costimator, FACTON EPC) and market intelligence platforms.
  • Experience with system implementation/change management.
  • Knowledge of supply chain management principles and financial concepts.

Responsibilities

  • Lead cross-functional efforts to build high-fidelity, bottom-up should-cost models from first principles or specialized estimating tools by deconstructing manufacturing process.
  • Own detailed cost modeling and "should-cost" estimates for hardware commodities. Delve into sourcing-defined cost models, highlight opportunities to increase model excellence, and raise "calls to action" to improve standardization across the organization.
  • Conduct complex sensitivity analysis to pressure test cost estimates provided by sourcing managers, challenging assumptions and identifying potential areas for cost reduction.
  • Evaluate and enhance the organization’s technical data ecosystem. Direct market intelligence and trend analysis by synthesizing global commodity indices and technology shifts into dynamic cost models that anticipate price volatility before it hits the bottom line.
  • Quantify the cost delta of engineering changes and New Technology Introductions. Analyze how specific manufacturing process innovations or material shifts impact the overall hardware portfolio.
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