Manager, Strategic Sourcing, AI Infrastructure & Services
Strategic Sourcing Manager owning end-to-end AI infrastructure and services spend at Datadog. Leads high-value vendor negotiations, builds pricing/consumption models with FinOps, partners with Engineering/Finance on business cases, and champions AI/automation tools for the sourcing function. Requires 8+ years in procurement with AI/SaaS category experience.
About the job
What You’ll Do
- Own the AI spend category end-to-end, covering foundation-model and AI APIs, AI development and productivity tools, and AI-enabled SaaS (with neocloud and inference compute as an emerging area), while developing and executing category strategies aligned to business objectives.
- Champion AI and automation adoption across the sourcing function by identifying tools (e.g. Claude, ChatGPT) and building repeatable workflows that make sourcing faster, smarter, and more scalable.
- Lead high-value AI vendor negotiations spanning foundation-model and API agreements, AI development and productivity tools, and AI SaaS, structuring seat- and consumption-based pricing across net-new purchases and strategic renewals, and building neocloud and GPU-capacity capability as the category grows.
- Partner with Engineering and Finance to turn architectural and consumption trade-offs into commercial business cases, forecasts, and savings targets.
- Build pricing and consumption models and apply FinOps discipline to quantify buying scenarios and uncover savings across a fast-moving spend base.
- Work alongside executive and senior technology leadership as a trusted advisor on AI and neocloud investment decisions, influencing strategy and commercial trade-offs at the leadership level.
- Track category KPIs (savings, pipeline, cycle time), monitor AI market, vendor, and pricing trends, and report outcomes and recommendations to leadership.
- Partner cross-functionally with Procurement Operations, Legal, and Security to ensure compliant, scalable execution.
Who You Are
- 8+ years supporting procurement through strategic sourcing, with a history of category ownership and negotiated savings, ideally across AI software and services, SaaS, and engineering tooling, with neocloud or compute a plus.
- Fluent in AI spend economics: foundation-model and API pricing, seat- and consumption-based SaaS models, and the cost drivers behind inference, with neocloud provider models an emerging area.
- Able to lead complex, high-spend negotiations independently and present business cases and savings outcomes to senior stakeholders and Finance leaders in a clear, concise way.
- Strong executive presence, with the ability to build trust and align senior leaders (up to the executive level) on strategy and commercial trade-offs.
- Curious about AI and emerging technologies, with a track record of turning them into practical applications that improve team productivity and sourcing workflows.
- Able to create structure in ambiguous, high-growth environments: global initiatives, scaling headcount, and breaking down silos.
- Able to become an SME for sourcing and procurement systems such as Zip, and hold a Bachelor’s degree in a related field.
Skills
Strategic Sourcing, Vendor Negotiation, Ai Spend Economics, Finops, Procurement Systems, Category Management, Consumption-Based Pricing, Neocloud, Gpu Capacity, Zip
Similar jobs
Business Operations jobsLeads sourcing strategy, supplier selection, negotiations, cost analysis, and performance management for flight-critical aerospace mechanical hardware. Requires a bachelor’s degree, 7+ years of relevant experience, cross-functional manufacturing expertise, and eligibility for a U.S. security clearance.
Manages emergency preparedness, physical security, and continuity planning for NCI facilities, including risk assessments, training, exercises, crisis communications, and emergency management systems. Requires a bachelor's degree and at least eight years of related experience.
Leads high-priority clinical operations programs, improving onboarding, workflows, analytics, automation, and operating models. Requires 4–6+ years in operations, consulting, program management, or implementation, plus strong quantitative, systems-thinking, and cross-functional execution skills.
Leads operational analysis and cross-functional improvement initiatives, combining SQL-driven insights, dashboards, and hands-on execution. Requires at least four years of analytical operations experience and strong project management and stakeholder communication skills.
Leads enterprise insurance operations for healthcare clients, translating operational needs into product requirements, scalable workflows, and measurable outcomes. The role requires 5–7+ years of operational experience, strong cross-functional execution, and deep revenue cycle management expertise.