Director-level engineering leader to own Cloud Observability at Datadog, managing 40 engineers via managers. Shape product roadmap and strategy for high-scale cloud integrations and data processing (10M+ metric points/sec), drive AI adoption, and build talent across offices.
Lead a team of 8-9 engineers building Datadog's serverless APM experience, including auto-instrumentation, distributed tracing for cloud-managed services across AWS, Azure, and GCP, and OpenTelemetry support. Requires strong engineering management experience, passion for developer experience, and comfort across multiple languages and cloud runtimes.
Engineering Manager leading squads building Datadog's Experimentation App. Own delivery, technical direction, and team growth for full-stack/frontend engineers while partnering with statisticians, PMs, and customers to ship features in a fast-paced environment.
Engineering Manager II owning a major portion of Datadog's Logs product. Co-define technical roadmap and vision with Product/Design, grow engineering leaders and org of ~30, partner with platform teams for reliable scalable observability (AI-driven), and drive business impact through customer-focused execution.
Engineering Manager leading the Onboarding Growth team at Datadog. Responsible for setting product direction, coaching engineers, building UX features, data platforms, and AI-assisted onboarding experiences to help new users quickly realize value from the platform. Requires 2+ years people management and full stack team experience.
Hands-on engineering manager to lead a team building internal UI/CLI frameworks, change-management workflows, notifications, and infrastructure governance tools for Datadog engineers. Requires backend experience, platform/tooling background, and people-management skills.
Lead multi-team engineering org building alerting, event management, and AI-powered detection systems at massive scale. Partner with Product, Design, and Applied Science to define technical vision and scale platform infrastructure.
Lead and grow a team of security and software engineers building AI-accelerated threat detection systems, detection platforms, and automation at scale for Datadog's Security organization.
Engineering Manager leading the Data Visualization Explorations team at Datadog. Focuses on setting product direction for observability visualizations, coaching engineers, and delivering performant data experiences for core users. Requires 2+ years of people management and strong frontend skills.
Leads small team of data engineers building scalable Core Analytics Data Access Platform. Owns technical direction, codes hands-on, ensures security/governance, and partners with AI/analytics teams. Requires data engineering and AWS/Spark experience.
Lead engineering teams building natural language interfaces and conversational AI systems using LLMs, RAG, and agentic architectures. Requires technical expertise in AI/ML/NLP, people management, and experience shipping LLM-powered products.
Leads technical sales engineering and ecosystem growth for Datadog's startup program, delivering demos, managing FDE projects, building partnerships, and automating processes. Requires 5-7 years in sales engineering or software engineering at SaaS/cloud companies with startup tech stack expertise.
Director-level engineering leader to own Cloud Observability at Datadog, managing 40 engineers via managers. Shape product roadmap and strategy for high-scale cloud integrations and data processing (10M+ metric points/sec), drive AI adoption, and build talent across offices.
Lead a team of 8-9 engineers building Datadog's serverless APM experience, including auto-instrumentation, distributed tracing for cloud-managed services across AWS, Azure, and GCP, and OpenTelemetry support. Requires strong engineering management experience, passion for developer experience, and comfort across multiple languages and cloud runtimes.
Engineering Manager leading squads building Datadog's Experimentation App. Own delivery, technical direction, and team growth for full-stack/frontend engineers while partnering with statisticians, PMs, and customers to ship features in a fast-paced environment.
Engineering Manager II owning a major portion of Datadog's Logs product. Co-define technical roadmap and vision with Product/Design, grow engineering leaders and org of ~30, partner with platform teams for reliable scalable observability (AI-driven), and drive business impact through customer-focused execution.
Engineering Manager leading the Onboarding Growth team at Datadog. Responsible for setting product direction, coaching engineers, building UX features, data platforms, and AI-assisted onboarding experiences to help new users quickly realize value from the platform. Requires 2+ years people management and full stack team experience.
Hands-on engineering manager to lead a team building internal UI/CLI frameworks, change-management workflows, notifications, and infrastructure governance tools for Datadog engineers. Requires backend experience, platform/tooling background, and people-management skills.
Lead multi-team engineering org building alerting, event management, and AI-powered detection systems at massive scale. Partner with Product, Design, and Applied Science to define technical vision and scale platform infrastructure.
Lead and grow a team of security and software engineers building AI-accelerated threat detection systems, detection platforms, and automation at scale for Datadog's Security organization.
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Engineering Manager leading the Data Visualization Explorations team at Datadog. Focuses on setting product direction for observability visualizations, coaching engineers, and delivering performant data experiences for core users. Requires 2+ years of people management and strong frontend skills.
Leads small team of data engineers building scalable Core Analytics Data Access Platform. Owns technical direction, codes hands-on, ensures security/governance, and partners with AI/analytics teams. Requires data engineering and AWS/Spark experience.
Lead engineering teams building natural language interfaces and conversational AI systems using LLMs, RAG, and agentic architectures. Requires technical expertise in AI/ML/NLP, people management, and experience shipping LLM-powered products.
Leads technical sales engineering and ecosystem growth for Datadog's startup program, delivering demos, managing FDE projects, building partnerships, and automating processes. Requires 5-7 years in sales engineering or software engineering at SaaS/cloud companies with startup tech stack expertise.