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The Customer Success Associate drives customer adoption, manages relationships, addresses issues, and promotes product retention while collaborating with internal teams.

Lead a 4-8 person polyglot engineering team building and maintaining language libraries and HTTP proxy integrations for Datadog's runtime security products. Balance people leadership, roadmap and product ownership, hands-on technical contribution, operational reliability at scale, and cross-team alignment to deliver detections, API protections, and AI-assisted features.

Lead technical sales efforts with Account Executives: conduct discovery, deliver demos and workshops, manage technical evaluations (POVs), cultivate technical champions, provide customer feedback to product teams, and ensure accurate deal documentation to drive adoption and expansion.

Lead product vision and roadmap for a unified fleet and lifecycle management platform that manages observability agents and collectors across hosts and Kubernetes. Coordinate cross-functional engineering teams to expand supported components, define "managed" behaviors, sequence rollout, set success metrics, and represent customer needs for both human operators and AI agents. Build business cases, validate with customers, and communicate trade-offs to stakeholders.

Lead engineering for one or more Digital Experience Monitoring product areas, manage 50–60 engineers via Engineering Managers, shape product roadmap, drive AI adoption across tooling and features, coordinate cross-team dependencies, build and retain Paris engineering talent, mentor managers, and participate in on-call rotation.

Lead and grow a team building Infrastructure-as-Code and secrets security products; own roadmap and delivery; stay hands-on with code review, design decisions, and on-call duties; integrate AI agents into development workflows; coach engineers and keep projects organized as priorities shift.

Lead the evolution of Datadog's visual identity by creating bold concepts and building a scalable Figma-native brand system. Design templates, component libraries, documentation, and governance; partner with cross-functional teams; mentor designers; present concepts to stakeholders; and embed AI-assisted workflows to scale brand production and consistency across touchpoints.

Serve as a trusted technical advisor to enterprise customers, driving product adoption, providing hands-on IT operations guidance, performing environment analysis, conducting business reviews, collaborating with product and engineering teams, and improving best practices to maximize Datadog value.

The role involves providing technical support and training through multiple channels, leading product demos, and participating in product discussions. It requires experience in technical support within a SaaS environment and effective communication skills. The position involves a hybrid working model and requires proficiency in Japanese.

The Technical Support Engineer engages with customers to resolve technical issues, educates clients on the platform, reproduces issues, and collaborates with internal teams based on feedback.