Currently tracking 37 active AI roles, down 35% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $155k–$385k (avg $244k).
| Title | Stage | AI score |
|---|---|---|
| Technical Support Engineer 1 Technical Support Engineer role focused on educating potential and existing customers about Datadog's platform, providing technical support, and resolving issues through various channels. The role involves deep dives into Datadog's integrations, leading product demos, and participating in product discussions based on customer feedback. | — | 0 |
| Technical Support Engineer 1 Technical Support Engineer role at Datadog, focusing on providing multi-channel technical support, reproducing issues, and training on product areas. Requires experience in SaaS technical support, troubleshooting, and communication skills, with fluency in Japanese. | — | 0 |
| Sourcer II, Business Recruiting This role is for a Recruiting Sourcer at Datadog, a company that provides an observability and security platform for the AI era. The sourcer will focus on finding and engaging passive candidates for hard-to-fill positions, partnering with recruiters to develop sourcing strategies, and mapping the talent market. The role is not directly involved in building or researching AI/ML models. |
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| 0 |
| Technical Support Engineer 2 Technical Support Engineer at Datadog, focusing on customer engagement, issue resolution, product expertise, and training within a SaaS environment. Requires strong troubleshooting, communication, and technical skills, with fluency in Japanese. | — | 0 |
| Technical Support Engineer 2 Technical Support Engineer role at Datadog, focusing on educating potential and existing customers about the platform, providing technical support, conducting demos, and resolving issues through various channels. Requires SaaS technical support experience, troubleshooting skills, and strong communication. | — | 0 |
| Enterprise Sales Engineer Enterprise Sales Engineer for Datadog, providing technical expertise in presentations, demos, and technical evaluations (POV). The role involves assessing solution feasibility, guiding deals to success, and proposing feature prioritization to product teams based on customer and competitor feedback. Requires 3+ years of experience in sales engineering or related roles, cloud platform experience (AWS, Azure, GCP), container technologies (Docker, Kubernetes), and proficiency in at least one programming/scripting language (Java, Python, Ruby, Go, Node.JS, PHP, .NET). Strong communication and problem-solving skills are essential. | — | 0 |