Product Cost Management Lead - AI Infrastructure

OpenAI, San Francisco

The role

OpenAI is seeking a Product Cost Management Lead to own the official costed bill of materials (BOM), system and cluster cost and price baseline, and platform-to-platform total cost of ownership (TCO) for our 1P AI infrastructure. You will turn component, system, POD, manufacturing, deployment, DC, service, and lifecycle inputs into a trusted view of product economics that informs technical and business decisions, including transition timing.

What you will do

In this role, you will

Own the official costed BOM and system/pod roll-up by platform, generation, configuration, build phase, volume, and mix. Maintain version control and traceability to quotes, source owners, assumptions, and engineering revisions.
Publish and maintain the system/pod cost and price baseline, reconciling component pricing and manufacturing-partner inputs with approved configurations and planning assumptions.
Build platform-to-platform TCO comparisons covering component content, non-recurring engineering, tooling, manufacturing labor and overhead, yield, scrap, test, logistics, deployment, housing and site costs, power and cooling, networking, spares, service, warranty, and lifecycle costs.
Partner with housing and site teams to integrate their cost inputs into product economics, documenting scope, timing, allocation assumptions, and gaps so platform comparisons are consistent and avoid double counting.
Quantify the cost impact of engineering change orders and notices (ECOs/ECNs), architecture, specification, configuration, and qualification changes before approval. Assess recurring and one-time costs, implementation timing, inventory exposure, and expected benefits.
Develop a prioritized cost-reduction, value-engineering, and second-source opportunity funnel with Engineering, Strategic Sourcing, and manufacturing-partner management. Evaluate qualification costs, investment, payback, supply improvements, and execution risk.
Analyze actual, forecast, quoted, committed, and purchase-price costs against the baseline. Explain material variances, identify root causes, and track recovery actions with accountable owners and dates.
Build sensitivity and scenario analyses for supplier and manufacturing-partner options, capacity, volume and mix, yield, configuration, site, deployment timing, and lifecycle tradeoffs. Present clear recommendations with assumptions, confidence ranges, and decision deadlines.
Validate savings and cost avoidance with Finance and accountable source owners. Distinguish identified opportunities, approved actions, and realized benefits, including offsets and implementation costs.
Establish cost-data definitions, BOM hierarchy, allocation methods, currency and volume assumptions, refresh expectations, and change-control processes. Flag stale, incomplete, or unsupported inputs before they affect decisions.
Lead recurring product-cost and TCO reviews. Publish concise cost bridges, opportunity updates, risks, and decision packages while retaining the supporting detail needed for technical and financial review.
Build scalable models, reporting, and data workflows that improve baseline completeness, refresh speed, analysis turnaround, and decision quality as the hardware portfolio grows.
You will own integrated product economics and the cost-analysis methodology and the cost analysis itself. Strategic Sourcing and manufacturing-partner management retain commercial negotiations; Engineering retains design and qualification authority; DC and site teams own their source inputs; Finance retains budgets, accounting, and financial approvals; Planning owns the demand baseline; SCPM owns material readiness; and OPM owns operational execution.

What Success Looks Like

Teams use a complete, current, and traceable costed BOM and system/pod baseline as the source of truth for product economics.
Platform TCO comparisons use consistent scope and assumptions, with inputs validated by their owners.
Material engineering and sourcing decisions include timely cost-impact analysis and explicit tradeoffs.
Cost variances have clear explanations, accountable owners, and recovery actions; savings and cost avoidance are validated.
Leadership receives clear recommendations, and cost-management processes scale with the complexity of the 1P hardware roadmap.

Product Cost Management Lead - AI Infrastructure

The role

Product Cost Management Lead - AI Infrastructure

The role

The team

What you will do

In this role, you will

What Success Looks Like

What you need

Nice to have

About OpenAI

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