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Manage strategic enterprise customers in Korea by onboarding users, driving product adoption and expansion, building executive relationships, coordinating cross-functional teams, and monitoring usage trends to identify renewal risks and growth opportunities. Serve as a trusted advisor, project-manage onboarding, advocate for customer needs, and promote loyalty and advocacy across customer organizations.

Manage the vulnerability lifecycle across Datadog’s multi-cloud environment, including detection, impact assessment, prioritization, remediation, and verification. Build AI-assisted automation, tools, and workflows that reduce engineering toil and address vulnerabilities earlier in the SDLC. Analyze remediation failures, identify root causes, partner with security and engineering teams, and provide vulnerability-management expertise for SOC 2, HIPAA, PCI, FedRAMP, and ISO compliance.

Build and manage global commercial customer success curricula, including instructor-led materials, eLearning, facilitator guides, job aids, assessments, practice, and reinforcement. Translate business goals into measurable learning objectives and observable behaviors. Partner with program managers, operations teams, facilitators, subject matter experts, and test audiences to deliver high-quality programs on schedule. Maintain content after launch, analyze learner data, and use AI responsibly to improve content creation and feedback analysis.

Lead and grow a data engineering team responsible for allocating cloud costs to products and customers. Own reproducible, versioned metric publication for Finance, platform-team cost contracts, coverage onboarding, identity mapping, and cost-to-revenue joins. Drive roadmap delivery across teams, improve cost accuracy and coverage, reduce key-person risk, and use AI tooling to increase engineering productivity.

Own the applied science direction for GenSim, Datadog’s generative simulation environment for training and evaluating AI agents. Define methodology and quality metrics for post-training data, improve simulation realism and failure difficulty, and develop scalable production systems integrated into training loops. Lead LLM and agent evaluation approaches, determine how synthetic data should be applied, and collaborate across engineering and applied science teams.

Own and execute regional field marketing programs across the North Central region, including events, sponsorships, customer panels, and workshops. Manage logistics, collaborate with Sales and Marketing teams, track program metrics, and optimize campaigns to drive pipeline generation.

Lead Datadog’s Brazil Channel organization and Partner Manager team. Own channel strategy, partner recruitment and development, ecosystem expansion, partner-sourced pipeline, revenue growth, forecasting, and performance reporting. Build executive relationships with system integrators, MSPs, resellers, and technology partners while aligning with Sales, Marketing, Alliances, and Partner Solutions. Strengthen partner capabilities, certifications, services capacity, and joint go-to-market initiatives with AWS, Microsoft Azure, and Google Cloud.

Develop and execute go-to-market strategies, quota and capacity planning, KPI frameworks, incentive design, and revenue growth initiatives. Analyze sales data, build models and dashboards, identify channel efficiency trends, and support senior GTM leaders with strategic decision-making. Lead cross-functional operational projects involving Sales, Marketing, Strategy, and Product while managing multiple priorities and presenting insights to executive stakeholders.

Recruit, enable, and manage strategic channel partners (GSIs, MSPs, VARs) to drive customer adoption and revenue. Coordinate technical and marketing aspects of partner launches, run business reviews, generate partner-sourced pipeline, and collaborate with regional sales teams to close deals.

Develop and scale Datadog’s integrated executive thought leadership program across regions and channels. Build playbooks, operating frameworks, and repeatable processes; identify speaking and media opportunities; coordinate with communications, social, marketing, and regional teams; shape executive messaging for major business moments; and measure program effectiveness. The role requires exceptional writing, executive ghostwriting, stakeholder influence, and strategic communications experience in B2B technology or SaaS.