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Salary: USD 198,000 - 242,000 / annual
Datadog's Technology Partnerships team is seeking a Senior Technology Partner Engineer to serve as the technical bridge between Datadog and its partner developer community. You will act as a consultant helping partners build world-class monitoring solutions on the Datadog platform, guiding them through the entire integration lifecycle from architectural design to product launch on the Datadog Marketplace.
Key responsibilities include:
- Provide technical advisory to partners on OAuth flows, log pipelines, OpenTelemetry, MCP-based and API-based integrations and configurations
- Partner closely with Datadog's Partner, Product, and Engineering teams to identify, prioritize, and drive joint integration roadmaps
- Perform architectural assessments and deep-dive code reviews for partner integrations, ensuring they meet Datadog's quality standards
- Solve complex technical challenges for partners through dedicated technical consultations
- Identify friction points in the Datadog platform and advocate for improvements to the developer experience
- Maintain public-facing developer documentation including blog posts and internal tracking systems
- Track trends across AI/ML and data platform ecosystems to identify new partnership opportunities
You will be the primary technical contact for partners, combining deep technical troubleshooting with high-level consulting and platform advocacy. This role offers direct impact, seeing your contributions immediately reflected in the Datadog ecosystem.
Datadog is the leading observability and security platform for the AI era, providing unified visibility across technology stacks. Trusted by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence.
REQUIREMENTS:
- Bachelor's degree in Computer Science or related field
- 7+ years of experience in a technical role (Partner Engineering, Support Engineering, Solutions Architecture, or Software Development)
- Proficiency in at least one programming language (Python or Go preferred)
- Deep understanding of observability fundamentals (Metrics, Logs, Traces) and modern standards like OpenTelemetry
- Natural consultant with ability to explain complex technical concepts to developers of varying skill levels
- Comfortable working with APIs, Linux environments, and cloud infrastructure
- Self-starter who thrives in fast-moving, cross-functional environments with bias toward action
- Ability to work effectively in hybrid environment, valuing pragmatism, honesty, and simplicity
- Bonus: Demonstrated ability to use AI coding tools in day-to-day workflows and validate/critique AI-generated output
- Bonus: Motivated to push boundaries of how AI can improve software engineering best practices
