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- Partner Engineer New York, New York, USA Technology Partnerships Team at Datadog
About the Role
Datadog’s Technology Partnerships team builds and scales partnerships with the technology companies that matter most to our customers from AI/ML platforms to data platform providers. As a Technology Partner Engineer, you will be the technical bridge between Datadog and our partner developer community, acting as a consultant who helps partners build world-class monitoring solutions on the Datadog platform.
You will be the primary technical contact for our partners, guiding them through the entire integration lifecycle from initial architectural design to final product integrations, and launching on the Datadog Marketplace.
This is a unique role that combines deep technical troubleshooting with high-level consulting and platform advocacy, working directly with external developers and seeing your contributions immediately reflected in the Datadog ecosystem.
What You’ll Do
- Technical Advisory Act as the technical lead for partners, advising on OAuth flows, log pipelines, OpenTelemetry, and MCP-based and API-based integrations and configurations. Co-Build
- Partner closely with Datadog
- Partner, Product and Engineering teams to identify, prioritize, and drive joint integration roadmaps; ensure integrations are built, launched, and continuously improved to meet customer needs. Architectural & Code Review Perform architectural assessments and deep-dive code reviews for partner integrations and marketplace repositories, ensuring they meet Datadog’s quality rubric. Technical Troubleshooting Solve complex technical challenges for partners via dedicated technical consultations. Platform Advocacy
- Identify friction points in the Datadog platform and partner with internal Product and Engineering teams to build a better developer experience. Documentation & Tracking Maintain public-facing developer documentation including blog posts, and internal tracking systems to ensure transparency and scale. Market Awareness Track trends across the AI/ML and data platform ecosystems to identify new partnership opportunities and ensure Datadog’s partner strategy stays ahead of a fast-moving market. Who You Are Bachelor’s degree in Computer Science, or a related field A technical expert with 7+ years of experience in a technical role (Partner Engineering,
- Support Engineering, Solutions Architecture, or Software Development). Proficient in at least one programming language (Python or Go preferred). An observability enthusiast who understands monitoring fundamentals (Metrics, Logs, Traces) and modern standards like OpenTelemetry. A natural consultant with the ability to explain complex technical concepts to developers of varying skill levels. A tinkerer who is comfortable working with APIs, Linux environments, and cloud infrastructure. Someone who thrives in a hybrid work environment and values pragmatism, honesty, and simplicity. Self-starter who thrives in a fast-moving, cross-functional environment with a bias toward action. Bonus Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output. Bonus Motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products. To conform to US export control regulations, candidates should be eligible for any required authorizations from the US government. This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government. #LI-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is $198,000 — $242,000
USD About Datadog
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. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center.
Equal Opportunity
- at Datadog Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines . Requisition ID R21906 Product Observability Infrastructure Infrastructure Monitoring Custom Metrics Network Monitoring Container Monitoring Kubernetes Autoscaling Serverless Monitoring Cloud Cost Management Storage Management GPU Monitoring Applications Application Performance Monitoring Universal Service Monitoring Continuous Profiler Dynamic Instrumentation Data Database Monitoring Data Observability Data Streams Monitoring Logs Log Management Audit Trail Observability Pipelines Error Tracking Bring Your Own Cloud Log Management security-platform Security Code Security Code Security Software Composition Analysis Static Code Analysis Runtime Code Analysis IaC Security Secret Scanning Cloud Security Cloud Security Sensitive Data Scanner Cloud Security Posture Management Cloud Infrastructure Entitlement Management Vulnerability Management Compliance Cloud Workload Protection App & API Protection SIEM Cloud SIEM rum Digital
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