Latest Engineering Management jobs at Datadog

Leads the Coordination Systems Storage team, managing five engineers while contributing to distributed-systems development, incident response, and reliability initiatives. Requires platform infrastructure experience, strong coding and performance skills, and a background in operational excellence.

Engineering manager leading a data platform team that allocates cloud costs to products and customers. The role requires experience with reproducible batch pipelines, versioned financial metrics, cross-functional delivery, and cloud cost, billing, revenue, or financial data systems.

Leads and grows an engineering team building AI-powered developer tools, owning technical direction, execution, and operational quality. The role requires strong full-stack and systems expertise, production experience with AI coding agents, and experience delivering developer-facing products in ambiguous early-stage environments.

Leads and grows an Applied Scientists team building proactive, agentic AI/ML capabilities for Datadog’s Product Analytics suite. The role combines people leadership, technical vision, hands-on review, and productionizing research in analytics, NLP, and user-behavior domains.

Leads engineers and applied scientists building cost-efficient specialized AI models and security capabilities from research through production. The role requires people leadership, deep AI/ML expertise, strong evaluation practices, and product judgment for taking AI initiatives from 0 to 1.

Leads engineering across Digital Experience Monitoring product areas, managing 50–60 engineers through Engineering Managers while shaping product strategy and driving AI adoption. Requires experience managing managers, large-scale data-intensive systems, and full-stack or frontend-adjacent products.

Leads and develops Premier Support Engineering teams, overseeing people management, performance, team initiatives, and high-priority customer escalations. The role requires prior team leadership, including managing managers, plus programming experience and basic Linux knowledge.

Leads and grows Datadog’s Evaluation & Annotation engineering team, defining its technical roadmap and building systems for AI model evaluation, human annotation, synthetic data, storage, and data pipelines. The role combines people leadership with hands-on technical contribution.

Leads and grows the Training & Serving engineering team responsible for distributed foundation-model training, large-scale serving, and AI development infrastructure. The role requires hands-on backend, data engineering, and infrastructure expertise alongside team leadership and roadmap ownership.

Leads a four-person engineering team building AI-powered code coverage and developer tooling. The role combines people development, technical direction, product collaboration, hands-on architecture, and on-call participation, with experience in Java or Go and distributed systems required.

Leads and grows an engineering team building Infrastructure as Code and Secrets security products. The role combines people management, roadmap ownership, hands-on technical decision-making, AI-enabled development, and cross-functional collaboration.

Leads a software engineering team responsible for scaling Husky, Datadog’s distributed columnar event store. The role combines people management, technical leadership, product partnership, and operational ownership, with experience in distributed systems and Java or Go preferred.

Manages engineers and execution for a core observability pipeline mission, partnering with Product on roadmap and technical strategy. The role requires experience in engineering management, distributed systems, data infrastructure, customer-installed software, and high-performance or Rust-based data pipelines.

Leads a team of 4–8 software engineers building and maintaining reliable database and infrastructure systems for Datadog’s OrgStore platform. The role combines people management, technical roadmap ownership, code and design leadership, project coordination, and cross-functional collaboration.

Leads a team of library engineers building and operating security integrations across multiple languages and proxy platforms. The role combines people management, product and roadmap ownership, technical contribution, and cross-functional delivery for runtime security products.

Leads and grows a Paris-based engineering team building large-scale, real-time sensitive data detection across logs, APM, and RUM telemetry. The role combines people management, hands-on technical leadership, product collaboration, and customer-focused delivery.

Leads and develops an engineering team responsible for secure, scalable source-code integration platform services. The role combines people management, backend systems expertise, stakeholder prioritization, and hands-on technical leadership.

Leads and scales the Observability Pipelines engineering organization, managing managers and shaping technical direction, operations, and roadmap strategy. Requires experience with distributed teams, distributed systems, high-throughput data infrastructure, and customer-installed software.

Manages and develops a team of Premier Support Engineers handling technical customer issues, escalations, training, and productivity initiatives. The role requires team leadership, mentorship, programming experience, and basic Linux knowledge in a client-centric environment.

Lead and grow a team of engineers and analysts to automate Datadog's commercial audit and compliance programs (SOC2, PCI, HIPAA, ISO). Shift GRC from manual processes to compliance-as-code using AI, tooling, and cloud-native infrastructure while bridging engineering, legal, and compliance stakeholders.

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 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 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.