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Senior Technology Partner Engineer

Datadog
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New York, NY$198k - $242kfull-timePosted 2w ago

About the role

Technology Partnerships role at Datadog focused on acting as the technical bridge between Datadog and partner developers, guiding integration lifecycles from architecture to product integrations and marketplace launches.

Responsibilities

  • 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 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.

Qualifications

  • Bachelor’s degree in Computer Science, or a related field
  • 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)
  • Observability fundamentals (Metrics, Logs, Traces) and OpenTelemetry
  • Strong consulting and ability to explain complex concepts to developers of varying skill levels
  • Comfort with APIs, Linux environments, and cloud infrastructure
  • Hybrid work environment suitability
  • Self-starter in fast-moving cross-functional environments
  • Bonus: Experience with AI coding tools and AI-enabled software engineering practices
  • Bonus: Interest in pushing AI to improve software engineering practices and building AI-enabled products

Skills

Required:OAuth flowsOpenTelemetryAPI integrationsProgramming languagesDeveloper advocacy
Nice to have:Architectural review

Benefits

  • 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.
Last updated Oct 22, 2026. Interested? Apply on the company site.

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