Sales Engineer - Enterprise
Enterprise Sales Engineer who partners with Account Executives to lead technical evaluations, demos, workshops, and solution strategy for Datadog customers. The role requires 5+ years in sales or solutions engineering, strong enterprise communication skills, and experience with cloud, Kubernetes, security, and observability.
About the job
Responsibilities
- Partner with Account Executives to own the technical strategy across enterprise sales opportunities.
- Lead customer discovery, translate business goals into tailored Datadog solutions, and deliver product demos, technical presentations, and workshops.
- Project-manage technical evaluations and proofs of value, including scoping use cases, defining success criteria, building timelines, and maintaining accountability.
- Identify technical champions and help customers build internal consensus for Datadog adoption.
- Provide technical customer feedback to Product and Engineering teams.
- Maintain accurate opportunity and customer-interaction records in related systems.
- Collaborate with Product, Support, and go-to-market teams to resolve technical blockers.
- Travel as needed for customer engagements.
Requirements
- 5+ years of experience in Sales Engineering, Solutions Engineering, or a technical customer-facing role in an enterprise environment.
- Experience navigating multi-stakeholder environments and communicating with technical, business, and executive audiences.
- Strong communication and consultative problem-solving skills.
- Ability to manage multiple opportunities and priorities in a fast-paced environment.
- Willingness to adopt new technologies and AI tools.
Technical Experience
- Public cloud platforms, including AWS, Azure, and Google Cloud.
- Kubernetes.
- Application performance monitoring and tracing.
- Security.
- Developer experience.
- Observability.
Benefits
- Best-in-breed onboarding.
- Generous global benefits.
- Intra-departmental mentor and buddy program.
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP).
- Continuous professional development, product training, and career pathing.
- Community Guilds and Inclusion Talks.
Skills
AWS, Azure, GCP, Kubernetes, Application Performance Monitoring, Tracing, Security, Developer Experience, Observability, AI Tools
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