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Datadog

Builds monitoring and security tools for clouds

Manager – Strategic Sourcing - AI Infrastructure & Services

Procurement & SourcingConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 8 years supporting procurement through strategic sourcing, with a history of category ownership and negotiated savings; experience across AI software and services, SaaS, and engineering tooling is ideal, while neocloud or compute experience is a plus.
  • Fluency in AI spend economics, including foundation-model and API pricing, seat- and consumption-based SaaS models, and inference cost drivers; neocloud provider models are an emerging area.
  • Ability to independently lead complex, high-spend negotiations and clearly present business cases and savings outcomes to senior stakeholders and Finance leaders.
  • Ability to build trust with senior leaders, including executives, and align them on strategy and commercial trade-offs.
  • Curiosity about AI and emerging technologies, with a track record of turning them into practical applications that improve team productivity and sourcing workflows.
  • Ability to create structure in ambiguous, high-growth environments, support global initiatives and scaling headcount, and break down silos.
  • Ability to become a subject-matter expert in sourcing and procurement systems such as Zip.
  • Bachelor’s degree in a related field.

Responsibilities

  • 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 emerging areas; develop and execute category strategies aligned to business objectives.
  • Champion AI and automation adoption across the sourcing function by identifying tools such as Claude and ChatGPT and building repeatable workflows to make sourcing faster, smarter, and more scalable.
  • Lead high-value AI vendor negotiations across foundation-model and API agreements, AI development and productivity tools, and AI SaaS; structure seat- and consumption-based pricing for new purchases and strategic renewals, and build 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.
  • Advise executive and senior technology leaders on AI and neocloud investment decisions, influencing strategy and commercial trade-offs.
  • Track category key performance indicators including savings, pipeline, and cycle time; monitor AI market, vendor, and pricing trends; and report outcomes and recommendations to leadership.
  • Partner with Procurement Operations, Legal, and Security to ensure compliant, scalable execution.

About the Company

Datadog

Builds monitoring and security tools for clouds

Datadog builds monitoring and security software for developers and operations teams that run cloud applications, giving them a shared view of system health and performance. Its platform links infrastructure monitoring with application performance and log analysis so teams trace a problem across the systems involved. Software agents and integrations collect operational data, which teams explore through dashboards and alerts to find failures, investigate threats and improve the customer experience. The company sells subscriptions to individual products and combined plans, with charges tied to the resources and data monitored. Datadog was founded in 2010 and is headquartered in New York City.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2010

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