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Enterprise Sales Engineer - FED

DatadogCloud Monitoring company
Remote$118,000 - $157,000 USDSenior
Index Ventures logo
Index Ventures
RTP Global logo
RTP Global
OpenView
ICONIQ Capital logo
ICONIQ Capital
Amplify Partners logo
Amplify Partners
Contour Ventures
Sales & Account Management

About the role

TL;DR

Partner with Sales to drive technical strategy and customer adoption of Datadog solutions.

  • As an Enterprise Sales Engineer, you'll partner with Sales to help customers understand the value of Datadog and how it solves their most important technical and business challenges.
  • You'll lead technical evaluations, deliver compelling demos, and guide customers through the journey from discovery to successful adoption.
  • Key Responsibilities Own the sales process in partnership with Account Executives by leading and shaping the technical strategy across opportunities from PG to Closed Won Lead customer discovery to uncover technical challenges, business goals, and success criteria, then translate those needs into tailored Datadog solutions Deliver engaging product demos, technical presentations, and workshops that connect platform capabilities to customer outcomes Project manage technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining success criteria, building a project plan with clear timelines, and holding all participants accountable to the process Requirements 5+ years of experience in Sales Engineering, Solutions Engineering, or a technical customer-facing role within an enterprise environment Skilled at navigating multi-stakeholder environments and adapting communication style to technical, business, and executive audiences Proficient background in public cloud (AWS, Azure, GCP), Kubernetes, APM/tracing, security, developer experience, observability Strong communication skills, with the ability to explain technical concepts to a range of audiences
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Required skills

AWSAzureGoogle CloudKubernetesEnterprise SalesPresentation Skills

Benefits & perks

equity, health insurance, parental planning, mental health benefits, 401(k) plan and match, paid time off, fitness reimbursements, employee stock purchase plan

Tech stack

AWSAzureGoogle CloudKubernetesDatadog

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