Product Cost Management Lead - AI Infrastructure

The role

You will own the official costed bill of materials, system and cluster cost baselines, and total cost of ownership for 1P AI infrastructure. You will partner with cross-functional teams to evaluate engineering changes, identify cost-reduction opportunities, and provide product economics to inform technical and business decisions.

What you will do

• Own the official costed BOM and system/pod roll-up by platform, generation, configuration, build phase, volume, and mix.
• Publish and maintain the system/pod cost and price baseline.
• Build platform-to-platform TCO comparisons.
• Partner with housing and site teams to integrate cost inputs into product economics.
• Quantify the cost impact of engineering change orders and notices.
• Develop a prioritized cost-reduction, value-engineering, and second-source opportunity funnel.
• Analyze actual, forecast, quoted, committed, and purchase-price costs against the baseline.
• Build sensitivity and scenario analyses for supplier and manufacturing-partner options.
• Validate savings and cost avoidance with Finance and accountable source owners.
• Establish cost-data definitions, BOM hierarchy, and change-control processes.

Required qualifications

• Significant experience in hardware product costing, cost engineering, supply chain finance, manufacturing cost analysis, or a related role supporting complex technology products.
• Experience building and maintaining multi-level costed BOMs, system cost roll-ups, and lifecycle or TCO models across product development, production ramp, and sustaining operations.
• Strong understanding of hardware cost drivers, including component pricing, manufacturing labor and overhead, NRE, tooling, yield, scrap, test, logistics, and service costs.
• Demonstrated ability to evaluate engineering changes, second-source options, and cost-reduction opportunities using comparable scenarios and transparent assumptions.
• Advanced spreadsheet and quantitative modeling skills, with disciplined data reconciliation, version control, and source traceability.
• Ability to turn incomplete or changing technical and commercial inputs into defensible analysis, identify uncertainty, and drive input gaps to closure.
• Strong cross-functional influence and communication skills.
• High ownership and sound judgment in a fast-moving environment with evolving requirements and competing priorities.

Nice to have

• Experience with AI infrastructure, hyperscale data centers, custom silicon, servers, networking, storage, or rack-scale systems.
• Experience analyzing JDM, CM, or ODM cost structures and open-book manufacturing models.
• Familiarity with DC and site economics, power and cooling, deployment timing, spares, and service costs in infrastructure TCO.
• Experience with ERP, MRP, and PLM systems, BOM change control, and business intelligence or automation/AI tools.
• A background in engineering, finance, supply chain, manufacturing, or a related analytical discipline.

About the company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The Hardware organization builds the infrastructure foundation for frontier AI systems.