Staff AI Engineer - Cloud FinOps

Datadog•New York, NY

8h•Hybrid

About The Position

As a Staff Software Engineer on Datadog’s Cloud FinOps team, you will help shape how the company understands, analyzes, and optimizes its cloud infrastructure spend. This role sits at the intersection of engineering, finance, and executive leadership, building the systems and insights that drive company-wide decisions about infrastructure usage, AI usage and efficiency. You will design scalable solutions that improve cost attribution, forecasting, and visibility across Datadog’s multi-cloud environment. This is a high-impact opportunity to influence strategic decisions, solve complex infrastructure efficiency challenges, and help define the future of FinOps capabilities at Datadog. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

Requirements

Experience designing or operating distributed systems at scale.
Proven ability to lead large cross-organizational technical initiatives and influence senior stakeholders.
Strong communication skills and ability to explain complex technical concepts to engineering, finance, and executive audiences.
Experience working with cloud infrastructure platforms such as AWS, GCP, or Azure.
Ability to operate autonomously in ambiguous problem spaces and develop scalable solutions.
Interest in infrastructure efficiency, cost attribution, and FinOps-style problem domains.

Responsibilities

Design and evolve internal platforms and tools that provide visibility into Datadog’s cloud infrastructure costs across AWS, GCP, and Azure.
Partner with Finance, Engineering, and Executive Leadership to analyze cloud spend trends and inform strategic decisions.
Develop scalable models and systems for cloud cost attribution across complex shared infrastructure.
Build forward-looking FinOps capabilities that help teams proactively manage and optimize infrastructure usage.
Work cross-functionally with engineering leaders to understand system architecture and translate infrastructure usage patterns into actionable cost insights.
Influence company-wide initiatives around cost efficiency, forecasting, and infrastructure planning.
Raises team performance by leading by example, building systems and patterns that improve productivity and autonomy by guiding with pragmatic technical judgment while being a hands-on contributor.