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Supports strategic sourcing for G&A categories by executing RFx events, negotiating vendor terms, managing renewals, analyzing spend, and identifying savings opportunities. Builds pricing, license forecast, and utilization models for enterprise software. Partners with stakeholders and FP&A, monitors market trends, improves procurement processes through automation and AI, and brings structure to ambiguous sourcing initiatives.

Targets and closes new business within Fortune 100 and other strategic enterprise accounts. Develops outbound prospecting strategies, builds multi-threaded sales motions, cross-sells across complex organizations, negotiates enterprise pricing, and demonstrates Datadog’s value and ROI. Owns account growth, maintains accurate forecasts, collaborates with marketing and solutions engineering, and travels regularly to client sites. Requires extensive enterprise sales experience selling SaaS, IT infrastructure, or similar solutions.

Drive new business and expand Datadog adoption across major strategic accounts. Responsibilities include prospecting, developing executive relationships, mapping territories, understanding customer needs, negotiating value-based agreements, building pipeline, coordinating cross-functional account teams, closing opportunities, and maintaining accurate forecasts. The role requires enterprise software sales experience, Fortune 100 selling expertise, consistent quota attainment, and travel exceeding 50% of the time.

Drive new business and expansion across Datadog’s largest strategic accounts. Responsibilities include prospecting, building executive relationship maps, understanding customer needs, negotiating value-based terms, managing complex account teams, developing pipeline, closing opportunities, and maintaining accurate forecasts. The role requires enterprise software sales experience, success selling to Fortune 100 companies, strong new-business development skills, and willingness to travel extensively.

Supports federal security certifications and authorizations, including FedRAMP and DoD requirements. The role assesses and mitigates risks, validates security controls, manages audits and continuous monitoring, documents compliance, and partners with engineering, legal, finance, customers, auditors, and regulators. It also evaluates AI products for regulated customers and develops compliance automation.

Prospect, qualify, and generate leads through outbound outreach (cold calls/emails), schedule discovery meetings, and collaborate cross-functionally to help customers evaluate Datadog and drive new business.

Drives adoption of Datadog’s security platform by partnering with Enterprise Account Executives, owning security sales cycles, engaging CISOs and security teams, coordinating partners and channels, and positioning solutions such as SIEM, CSPM, workload, container, and Kubernetes security. The role requires security buyer experience, consultative selling, co-selling in matrixed organizations, and strong stakeholder relationship-building.

Manage and mentor a team of Premier Support Engineers handling customer requests, reproducing and troubleshooting issues across Datadog integrations, onboarding and training hires, building documentation, resolving high-priority escalations, and driving initiatives to improve team productivity and processes.

Manage a high-volume portfolio of Datadog customers by building strategic relationships, driving product adoption, identifying renewal risks and growth opportunities, supporting retention, and coordinating resolutions for technical, billing, and enablement needs. The role includes account management, contract negotiation, upselling and cross-selling, customer advising, usage monitoring, and collaboration with support, product, finance, and legal teams.

Partners with account executives to shape technical sales strategies, lead customer discovery, deliver product demonstrations, and manage proof-of-value evaluations. Translates customer goals into Datadog solutions, develops technical champions, supports consensus-building, and communicates feedback to product and engineering teams. Maintains accurate opportunity records and collaborates with Product, Support, and go-to-market teams to resolve technical blockers and drive adoption.