DataDog

1 month ago

Engineering Manager I, Threat Detection

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead a high-performing engineering team responsible for threat detection at Datadog, guiding AI-enabled detection and response initiatives across Security. You’ll own strategy, roadmap, and metrics for detection coverage, signal quality, and incident readiness, while mentoring engineers and collaborating with SIRT, CTI, and AI teams to scale security products in a cloud/SaaS environment.

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Manager level

Key Responsibilities

•Lead the strategy, roadmap, and execution of Datadog Security's shift to AI-accelerated detection and response.
•Drive development of high-fidelity detections as a shared responsibility across the organization, ensuring your team's systems and direct contributions raise the bar on coverage and signal quality.
•Build, mentor, and grow a high-performing team of engineers tackling the hardest problems in threat detection at scale.
•Partner with sister teams across Threat Detection and the broader Security organization so your team's deliverables integrate reliably with the rest of the program.
•Define and track program metrics: detection coverage, signal quality, model and agent fidelity, evaluation pass rates, incident response readiness, and your team's measurable contribution to security operations outcomes.

Pay and Benefits

Salary: USD 192,000 - 240,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityRemote WorkLearning Budget

Key Requirements

•Experience in security operations, detection engineering, or incident response, with tooling development and investigations.
•Strong understanding of modern threat actor techniques and the detection engineering lifecycle.
•Technical credibility to review detection logic, code (e.g., Python), and security system architectures (AI-driven or otherwise).
•Experience building automation for security operations workflows, including detection platforms, AI-driven detection capabilities, case triage, investigation, or analyst tooling.
•Prior experience at a SaaS or cloud infrastructure company where security scale and complexity are key challenges.

Experience:SecurityCloudSaasAi

Skills:CommunicationLeadershipProblem-solvingMentorship

Languages:English

Tech Stack:PythonAICI/CDSecurity toolingCloud

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

1 month ago

Engineering Manager I, Threat Detection

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Manager level

Key Responsibilities

•Lead the strategy, roadmap, and execution of Datadog Security's shift to AI-accelerated detection and response.
•Drive development of high-fidelity detections as a shared responsibility across the organization, ensuring your team's systems and direct contributions raise the bar on coverage and signal quality.
•Build, mentor, and grow a high-performing team of engineers tackling the hardest problems in threat detection at scale.
•Partner with sister teams across Threat Detection and the broader Security organization so your team's deliverables integrate reliably with the rest of the program.
•Define and track program metrics: detection coverage, signal quality, model and agent fidelity, evaluation pass rates, incident response readiness, and your team's measurable contribution to security operations outcomes.

Pay and Benefits

Salary: USD 192,000 - 240,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityRemote WorkLearning Budget

Key Requirements

•Experience in security operations, detection engineering, or incident response, with tooling development and investigations.
•Strong understanding of modern threat actor techniques and the detection engineering lifecycle.
•Technical credibility to review detection logic, code (e.g., Python), and security system architectures (AI-driven or otherwise).
•Experience building automation for security operations workflows, including detection platforms, AI-driven detection capabilities, case triage, investigation, or analyst tooling.
•Prior experience at a SaaS or cloud infrastructure company where security scale and complexity are key challenges.

Experience:SecurityCloudSaasAi

Skills:CommunicationLeadershipProblem-solvingMentorship

Languages:English

Tech Stack:PythonAICI/CDSecurity toolingCloud

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