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Salary: USD 149,000 - 198,000 / annual
Datadog is seeking a Senior Sales Engineer to serve as a trusted technical advisor and strategic partner for enterprise accounts across the Eastern US. You will own the end-to-end sales process in partnership with Account Executives, leading complex technical evaluations and shaping deal strategy for high-impact opportunities.
Key responsibilities include leading customer discovery to uncover technical challenges and business goals, then translating those into tailored Datadog solutions with measurable outcomes. You'll deliver engaging product demos, technical presentations, and solution workshops to diverse stakeholder audiences including C-level executives. You will own proof-of-concept (POV) evaluations end-to-end—scoping use cases, defining success criteria, building project plans, and ensuring accountability throughout.
You'll identify and develop technical champions across multi-stakeholder environments, building structured plans for influence throughout the deal cycle. The role includes contributing to product direction through active participation in field feedback sessions with Product and Engineering teams, bringing customer insights and patterns to inform product strategy.
Operational excellence is critical: you'll ensure accurate documentation of activities, deal progress, and customer interactions in CRM systems. You'll proactively identify and resolve technical and organizational blockers by collaborating across Product, Support, and GTM teams. Additionally, you'll contribute to team enablement by mentoring peers, sharing best practices, and creating reusable assets that scale knowledge across the region.
Required qualifications: 7+ years in Sales Engineering, Solutions Engineering, or technical customer-facing roles in enterprise environments. Advanced background in public cloud (AWS, Azure, GCP), Kubernetes, APM/tracing, security, observability, or developer experience. Demonstrated ability to influence and adapt communication across technical, business, and executive audiences. Strong consultative, outcome-oriented problem-solving approach. Experience managing multiple priorities in fast-paced environments, mentoring peers, and utilizing AI tooling. Willingness to travel as needed to support customer engagements.
