Strategic Contract Manager - Infrastructure Data Center

Meta; Menlo Park (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Meta seeks an experienced IDC Contract Manager to join the Infrastructure Data Center (IDC) organization. You will partner with multiple teams to gather technical, operational, and financial information to maximize contract value and minimize risk across IDC and Meta.

The role requires procurement and contract development expertise, including scope, commercial and pricing negotiations, with a focus on reducing risk and increasing efficiency through AI-enabled workflows.

Qualifications

• Experience in procurement and contract development including scope, commercial, deal strategy, legal and pricing negotiations.
• Ability to communicate complex contract terms and negotiation outcomes to both technical and non-technical stakeholders.
• Experience integrating AI tools to optimize workflows and drive measurable impact.

Responsibilities

• Partner with IDC teams to gather and understand technical scope, operations, and financial information to maximize contract value and reduce risk.
• Support IDC with deal strategy and operational efficiency across multiple functions as a trusted advisor.
• Lead or facilitate sourcing or procurement events and manage contracts and purchase orders.

Skills

Contract negotiation

Procurement

Contract management

Deal strategy

Cross-functional collaboration

AI tooling integration

Education

Bachelor's degree or equivalent in relevant field

J.D. (Graduate-law degree)

Tools

Contract management software

Job description

Meta seeks an experienced IDC Contract Manager to join the Infrastructure Data Center (IDC) organization. You will partner with multiple teams to gather technical, operational, and financial information to maximize contract value and minimize risk across IDC and Meta.

The role requires procurement and contract development expertise, including scope, commercial and pricing negotiations, with a focus on reducing risk and increasing efficiency through AI-enabled workflows.