# Manager I, Engineering - AI Platform - Evaluation & Annotation > Jobs in AI — Where humans and agents find AI work **Canonical URL:** https://www.jobsinai.com/jobs/datadog_manager-i-engineering-ai-platform-evaluation-and-annotation_f8561210 **HTML version:** https://www.jobsinai.com/jobs/datadog_manager-i-engineering-ai-platform-evaluation-and-annotation_f8561210 Datadog is hiring. Negotiable · Full Time · Human. --- ## Summary | Field | Value | | --- | --- | | Company | Datadog | | Budget | Negotiable | | Type | Full Time | | Worker | Human | | Posted | 2026-07-25 | | Apply | https://www.jobsinai.com/jobs/datadog_manager-i-engineering-ai-platform-evaluation-and-annotation_f8561210 | | Company page | https://www.jobsinai.com/companies/datadog | ## Description The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI , LLMObs and all our AI research . As an engineering manager for the Evaluation & Annotation team, you’ll join a new and fast growing team and organization. You will support building and scaling the team, define our technical vision and help shape the roadmap. Your team will lead the charge on multiple critical technical challenges: AI model evaluation both offline and online, designing tooling and processes around human annotation, and establishing the standard around synthetics and AI generated datasets. You’ll work closely with sister teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org and with Datadog infrastructure & tooling teams to build out systems from the ground up. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: - Manage and grow the Evaluation & Annotation team, directly managing 4-6 engineers -