Partner Technology Solutions Engineer
Partner Technology Solutions Engineer serving as the technical bridge between Datadog and third-party developers. Guide partners through the full integration lifecycle on the Integration Developer Platform, from architecture and code reviews to troubleshooting and publication on the Datadog Marketplace. Requires 3+ years technical experience, proficiency in Python or Go, and strong observability knowledge.
About the job
Responsibilities
- Act as the technical lead for partners, advising on OAuth flows, log pipelines, OpenTelemetry, and agent-based vs. API-based configurations.
- Perform architectural assessments and deep-dive code reviews for partner integrations in the integrations-extras and marketplace repositories, ensuring they meet our Quality Rubric.
- Solve complex technical challenges for partners via Zendesk, Slack, and dedicated technical consultations.
- Identify friction points in our Integration Developer Platform (IDP) and partner with our internal Product and Engineering teams to build a better developer experience.
- Maintain public-facing developer documentation and internal tracking systems (JIRA) to ensure transparency and scale.
Requirements
- 3+ years of experience in a technical role (Support Engineering, Solutions Architecture, or Software Development).
- Proficient in at least one language (Python or Go preferred).
- Observability enthusiast who understands monitoring fundamentals (Metrics, Logs, Traces) and modern standards like OpenTelemetry.
- Natural consultant with the ability to explain complex technical concepts to developers of varying skill levels.
- Comfortable working with APIs, Linux environments, and cloud infrastructure.
- Thrives in a hybrid work environment.
Nice-to-Haves
- Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
- Motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.
Compensation and Benefits
- Generous professional development and equipment budget.
- Best-in-class, high-growth technical culture.
- Impactful role at the center of Datadog’s growth.
- Inclusive workplace that values diverse backgrounds and experiences.
- Datadog offers a competitive salary and equity package, and may include variable compensation.
- Reasonably estimated yearly salary for this role: $156,000–$195,000 USD.
- Comprehensive benefits including healthcare, dental, parental planning, mental health benefits, 401(k) plan and match, paid time off, fitness reimbursements, and discounted employee stock purchase plan.
Skills
Python, Go, OpenTelemetry, OAuth, APIs, Linux, Cloud Infrastructure, Metrics, Logs, Traces, Zendesk, Jira, Ai Coding Tools
Similar jobs
Sales Engineering jobsCustomer-facing solutions engineer who leads technical discovery, demonstrations, proof-of-concepts, and deployments for AI and machine learning customers. Requires 5+ years in solutions or sales engineering and strong experience with enterprise technical selling and ML infrastructure.
Leads technical discovery, solution design, demonstrations, proof-of-concept initiatives, and executive presentations for strategic Big Tech and AI customers. Requires significant enterprise pre-sales or technical consulting experience, API and data expertise, and the ability to engage technical and executive stakeholders.
Design and lead technical evaluations, prototypes, and architectures for life sciences customers, translating scientific and operational needs into production-ready solutions. Requires Python or R proficiency, life sciences domain knowledge, and experience with customer-facing technical engagements and proof-of-concepts.
Leads technical pre-sales for IoT connectivity solutions, partnering with Account Executives to design architectures, demonstrate the platform, and resolve customer technical concerns. Requires hands-on embedded or IoT experience, cellular networking expertise, API integration skills, and enterprise technical sales experience.
Acts as a trusted technical advisor during enterprise presales, leading discovery, prototypes, demonstrations, and technical responses for a cloud business intelligence platform. Requires at least five years of business intelligence experience, database and cloud data warehouse expertise, and strong customer-facing skills.