OpenAI
Product Cost Management Lead - AI Infrastructure
$226K–$300K
San Francisco · Hybrid · Full-time · Posted Oct 26, 2026
- Experience
- Significant experience requested; no specific number of years stated.
About the job
Own costed BOMs, cost and price baselines, and total-cost-of-ownership analysis for AI infrastructure platforms, guiding engineering, sourcing, and operational decisions.
What you'll do
- Maintain traceable costed BOMs and system/pod cost and price baselines across platforms, configurations, and build phases.
- Model platform TCO, evaluate engineering changes and cost-reduction opportunities, and analyze cost variances and scenarios.
- Validate savings and publish cost reviews, recommendations, and scalable cost-analysis workflows.
What they ask for
- Significant experience in hardware product costing, cost engineering, supply chain finance, manufacturing cost analysis, or a related role supporting complex technology products.
- Experience building multi-level costed BOMs, system cost roll-ups, and lifecycle or TCO models across development, production ramp, and sustaining operations.
- Strong understanding of hardware cost drivers and advanced spreadsheet and quantitative modeling skills.
- Ability to assess engineering changes and cost-reduction opportunities, work through uncertain inputs, and communicate recommendations cross-functionally.
Nice to have
- Experience with AI infrastructure, hyperscale data centers, custom silicon, servers, networking, storage, or rack-scale systems.
- Experience with JDM, CM, or ODM cost structures, open-book manufacturing, infrastructure TCO, or ERP, MRP, PLM, business intelligence, or automation/AI tools.
Pay
$226K – $300K (base salary)
Tools
ERP, MRP, PLM
AI focus
The role supports AI infrastructure hardware economics; it does not specify AI development or model-building work.
Model-written summary · the original posting is authoritative