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As an Enterprise Sales Engineer at Datadog, you'll partner with Account Executives to help enterprise customers understand and adopt Datadog's observability and security platform. You'll lead technical evaluations, deliver compelling product demos, and guide customers through discovery to successful implementation.
Key responsibilities include owning the sales process by leading technical strategy across opportunities from prospect to closed won. You'll conduct customer discovery to uncover technical challenges and business goals, then translate those into tailored Datadog solutions. You'll deliver engaging product demos, technical presentations, and workshops that connect platform capabilities to customer outcomes.
You'll project manage proof-of-concept evaluations end-to-end, including scoping use cases, defining success criteria, building project plans with clear timelines, and holding participants accountable. You'll identify and cultivate technical champions within customer accounts to drive internal consensus and adoption advocacy.
You'll participate in structured product and engineering feedback sessions, serving as the technical voice of the customer to shape product direction. You'll maintain operational excellence by documenting activity, deal progress, and customer interactions in CRM systems. Cross-functional collaboration with Product, Support, and GTM teams is essential to address customer needs and resolve technical blockers.
You bring 5+ years of experience in Sales Engineering, Solutions Engineering, or technical customer-facing roles in enterprise environments. You're skilled at navigating multi-stakeholder environments and adapting communication to technical, business, and executive audiences. You have proficiency in public cloud platforms (AWS, Azure, GCP), Kubernetes, APM/tracing, security, developer experience, and observability. You're a strong communicator who can explain technical concepts to diverse audiences, with a consultative problem-solving approach. You can manage multiple priorities in a fast-paced environment, embrace change and AI tools, and are willing to travel to support customer engagements.
