DataDog

5 days ago

Director, Engineering - Cloud Observability

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Lead engineering for Datadog’s Cloud Observability across AWS, Azure, GCP, and OCI, operating at massive scale (10M+ metric points per second). Manage a manager-of-managers team of ~40 engineers, shape the roadmap with product leadership, and drive AI adoption through tooling, workflows, and product features. Partner across Agent, Telemetry Onboarding, Integrations, Action Platform, and Infrastructure Monitoring while building talent across NYC, Boston, and Paris.

Location: Boston, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Executive & General Management

Seniority: Director level

Key Responsibilities

•Own engineering for Cloud Observability across all supported clouds and cloud providers.
•Manage ~40 engineers through Engineering Managers; manager-of-managers responsibilities.
•Shape the roadmap with product leadership, iterating on and authoring strategy for your area.
•Drive AI adoption across the engineering org through tooling, workflows, product features, and team practices.
•Manage cross-team dependencies across Agent, Telemetry Onboarding, Integrations, Action Platform, and Infrastructure Monitoring.

Pay and Benefits

Salary: USD 296,000 - 370,000 annually

Equity and Bonus:Equity

Perks:RsusEsppHealth InsuranceDental401kPaid LeaveGym Membership

Key Requirements

•Directly managed Engineering Managers (not just individual contributors).
•Deep experience with one or more cloud providers and operating large-scale systems in the cloud.
•Strong understanding of cloud economics, balancing performance and cost.
•Integrate AI-first thinking into how you lead and how teams build.
•Track record shaping product decisions and working with large-scale event-driven or data-intensive backend systems.

Experience:CloudObservabilityData-intensive systemsEvent-driven systemsAI

Skills:LeadershipRoadmap ownershipCross-team collaborationMentoringStrategic decision-making

Languages:English

Tech Stack:AWSAzureGCPOCIAIAPIsEvent dataTime-series dataIngestion pipelinesTelemetry OnboardingIntegrationsAction PlatformInfrastructure MonitoringAgent

Company Brief

DataDog

Provides a cloud-native monitoring and observability platform that unifies metrics, traces, logs, and security signals to help engineering, operations, and security teams monitor and troubleshoot modern applications and infrastructure.

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2010

Glassdoor: 4.1

Website LinkedIn

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DataDog

5 days ago

Director, Engineering - Cloud Observability

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Location: Boston, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Executive & General Management

Seniority: Director level

Key Responsibilities

•Own engineering for Cloud Observability across all supported clouds and cloud providers.
•Manage ~40 engineers through Engineering Managers; manager-of-managers responsibilities.
•Shape the roadmap with product leadership, iterating on and authoring strategy for your area.
•Drive AI adoption across the engineering org through tooling, workflows, product features, and team practices.
•Manage cross-team dependencies across Agent, Telemetry Onboarding, Integrations, Action Platform, and Infrastructure Monitoring.

Pay and Benefits

Salary: USD 296,000 - 370,000 annually

Equity and Bonus:Equity

Perks:RsusEsppHealth InsuranceDental401kPaid LeaveGym Membership

Key Requirements

•Directly managed Engineering Managers (not just individual contributors).
•Deep experience with one or more cloud providers and operating large-scale systems in the cloud.
•Strong understanding of cloud economics, balancing performance and cost.
•Integrate AI-first thinking into how you lead and how teams build.
•Track record shaping product decisions and working with large-scale event-driven or data-intensive backend systems.

Experience:CloudObservabilityData-intensive systemsEvent-driven systemsAI

Skills:LeadershipRoadmap ownershipCross-team collaborationMentoringStrategic decision-making

Languages:English

Tech Stack:AWSAzureGCPOCIAIAPIsEvent dataTime-series dataIngestion pipelinesTelemetry OnboardingIntegrationsAction PlatformInfrastructure MonitoringAgent

Company Brief

DataDog

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2010

Glassdoor: 4.1

Website LinkedIn