Staff AI Engineer - Cloud FinOps
Datadog - New York, New York, USA
Posted Mar 25, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
Was this benefit information wrong? Tell us.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Staff AI Engineer - Cloud FinOps New York, New York, USA 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. What You'll Do: 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
Read the full description at careers.datadoghq.com. FewerJobs shows a source-linked preview and links to the original posting.
Apply link verified; last checked Jun 13, 2026.
What verified means
Verified means a displayed claim has a recorded source field, a source URL when available, and a timestamp showing when FewerJobs checked or enriched the evidence.
Related jobs
-
Systems Engineer - (Execution) - Level 3/4
Northrop Grumman - United States-Alabama-Huntsville
-
Business Analyst (Top Secret cleared)
ICF International INC - Washington, DC
-
Engineering Project Specialist II (Full Time) - United State
Cisco - San Jose, California, US
-
Automation AI Ops Engineer
Cisco - 2 Locations