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Target and close new business with large strategic and Fortune 1000 customers. Prospect independently, build territory relationship maps and pipeline, understand customer needs, sell cloud and observability solutions based on value and ROI, negotiate enterprise terms, expand existing accounts, develop business drivers, and maintain accurate forecasts. The role requires 5+ years of enterprise or mid-market closing experience, proven $1M+ sales performance, $100K+ average deal sizes, SaaS or IT infrastructure experience, and regular client travel.

Design, research, and benchmark machine learning algorithms for anomaly detection, error outlier analysis, and faulty deployment analysis. Build, deploy, scale, and monitor user-facing ML features, models, services, and infrastructure in production. Analyze high-volume streaming data, communicate complex algorithms to nontechnical audiences, participate in research journal discussions, maintain team-owned systems, and join the on-call rotation while partnering with engineering and product teams.

Targets and closes new enterprise business with Fortune 1000 customers and prospects. Responsibilities include territory prospecting, relationship mapping, pipeline development, business discovery, value and ROI selling, pricing and contract negotiation, customer expansion, opportunity qualification, and accurate forecasting. The role requires significant enterprise sales experience, large deal ownership, technology-sector experience, and regular travel to client sites and other regions.

Develop and execute localized content strategies for LATAM markets, adapting global messaging and creating original regional content. Manage campaigns, product launches, customer stories, events, PR initiatives, publishing across digital channels, localization vendors, timelines, budgets, and quality. Collaborate with global and regional teams to maintain brand consistency, provide market insights, and optimize content performance using engagement, lead generation, and ROI metrics.

Leads and scales Datadog’s global Executive Support organization, including executive assistants, team leads, and managers. Defines the function’s strategy, operating model, policies, and playbooks; manages headcount planning, resource allocation, and organizational design; improves processes; handles sensitive escalations; and partners with Finance, Legal, People, and business leaders. The role requires executive-level support expertise, strong discretion, systems thinking, and travel to global offices and conferences as needed.

Build strategic relationships with enterprise customers, drive product adoption and expansion, lead onboarding, QBRs, and strategic reviews, and communicate Datadog’s business value to executive, technical, and business stakeholders. Analyze usage trends and datasets to identify gaps, quantify outcomes, and recommend growth opportunities. Coordinate cross-functional teams including Sales, Solutions Engineering, Technical Account Management, Product, Support, and Enablement to ensure customer success.

Source and engage passive candidates for complex, hard-to-fill roles. Build talent pipelines using recruiting platforms, research, employee networks, events, and creative outreach. Develop sourcing strategies, map talent markets, analyze messaging, track search progress, and collaborate closely with recruiters and stakeholders. The role requires managing multiple searches independently while promoting diversity and effectively converting passive prospects into candidates.

Source and engage passive candidates for complex, high-volume recruiting needs. Build candidate pipelines using sourcing tools, employee networks, events, and creative research. Develop strategic sourcing plans, map talent markets, track search progress, analyze messaging, and collaborate with recruiters and stakeholders to attract diverse talent.

Owns complex global technical solutions enablement programs supporting Sales Engineering. Responsibilities include developing multi-quarter roadmaps, managing cross-functional stakeholders, measuring adoption and performance through Salesforce and LMS data, creating executive communications, assessing regional needs, designing training and workflow-change resources, mentoring junior program managers, and implementing AI-powered process improvements. The role requires independent leadership, change management expertise, and collaboration across Product, Strategy and Operations, Technical Solutions, and People teams.

Prospect and qualify potential customers through outbound cold calling and email outreach. Schedule discovery meetings, identify customer needs, and develop business acquisition strategies. Collaborate with Datadog teams while learning sales methodologies and supporting cloud and digital transformation conversations. The role offers sales training, mentorship, professional development, and opportunities for career growth.