Datadog
Engineering Manager I, Commercial Audit
New York, New York, USA
Sponsorship not specified$192k-$240kDetected 13 hours ago
PythonGoAWSGCPAzureCloud PlatformsKubernetesCI/CDDatadogCybersecurityComplianceAccessibilityHIPAALeadershipCollaborationMentoringPlain Language
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odds of building a lasting career here
61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
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About the role
- You will act as a bridge between technical engineering, legal, and compliance, enabling the organization to move fast while maintaining a secure and compliant environment.
- Nice to Haves: - Prior experience working as an auditor (e.g., QSA) or directly facilitating audits, with the ability to negotiate scope and timelines effectively.
- Datadog values people from all walks of life.
Responsibilities
- Lead the strategy, roadmap, and execution of Datadog's commercial security compliance efforts, shifting from manual audit processes to automated, scalable platforms and methodologies.
- Partner within Information Security to operationalize a common control framework that integrates seamlessly into Datadog's architecture and processes.
- Drive the development of internal tooling to automate evidence collection and dashboarding, reducing operational friction across the organization.
- Collaborate with broader internal engineering teams to embed compliance-by-design into our infrastructure, CI/CD pipelines, and cloud-native service adoption.
- You build strong, trusted relationships across engineering, legal, product, and executive stakeholders. You remain calm under pressure, navigate disagreement with diplomacy, and consistently bring people to alignment without creating unnecessary friction.
Requirements
- You are a steady, low-ego leader who earns trust through consistency, diplomacy, and sound judgment.
- Strong technical background with the ability to review code (Python, Go), interpret architecture diagrams, and understand infrastructure (Kubernetes, AWS/GCP/Azure).
- You are a clear communicator who can translate complex technical or regulatory requirements into "plain language" for engineers, leadership, and external auditors alike.
- Experience in a SaaS or cloud infrastructure company where security scale and complexity are first-order challenges.
- Prior experience working as an auditor (e.g., QSA) or directly facilitating audits, with the ability to negotiate scope and timelines effectively.
- To conform to US export control regulations, candidates should be eligible for any required authorizations from the US government.
Compensation
- $192,000 - $240,000 USD
Benefits
- Generous and competitive benefits package.
- New hire stock equity (RSUs) and employee stock purchase plan.
- Datadog offers a competitive salary and equity package, and may include variable compensation.
- Build, mentor, and grow a high-performing team of engineers and analysts, fostering a culture of technical excellence, continuous learning, and cross-functional collaboration.
- Define and track program metrics: control coverage, audit efficiency, and automation adoption
- Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Company info
- It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers.
- Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale.
Equal opportunity
- Equal Opportunity at Datadog:
- This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Visa & Work Authorization
- To conform to US export control regulations, candidates should be eligible for any required authorizations from the US government
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This listing is sourced directly from Datadog's careers page and normalized into a canonical job model.