Location : Remote - US East (travel as required)
Department : Field Engineering
About The Role
We are looking for an exceptional Senior or Principal Sales Engineer to join our US East team, partnering with enterprise and upper mid-market customers to help them solve their most complex observability challenges. You’ll be working with a cutting-edge observability platform, enabling organizations to improve reliability, reduce MTTR, and make data- and AI-driven operational decisions.
If you’ve thrived in competitive observability landscapes and have a passion for turning deep technical knowledge into real customer outcomes, this is your opportunity to make a big impact.
What You’ll Do
- Partner with Account Executives to drive technical strategy and win new business in upper mid-market and enterprise accounts.
- Lead discovery and solution design for monitoring, logging, and tracing use cases, aligning with customer business objectives.
- Run engaging product demonstrations that clearly articulate value, differentiate from competitors, and inspire technical stakeholders.
- Design and execute POCs with measurable success criteria, guiding customers through instrumentation, data onboarding, and dashboarding.
- Advise on best-practice architectures for distributed tracing, log analytics, metrics pipelines, and service monitoring.
- Be the technical voice of the customer internally, influencing product roadmap and ensuring long-term adoption success.
- Stay ahead of the curve by maintaining expertise in competitive products, market trends, and emerging observability practices.
What We’re Looking For
5+ years in a Sales Engineering, Solutions Architect, or similar customer-facing technical role in observability / monitoring / logging.Proven track record working with upper mid-market and enterprise accounts, influencing both technical and business decision-makers.Experience at a leading observability vendor (New Relic, Datadog, Grafana, Splunk, Sumo Logic, or similar).Experience leading competitive takeouts in head-to-head vendor evaluationsStrong expertise with log aggregation and analysis (Elastic, Loki, Splunk, etc.), metrics collection and visualization (Prometheus, Grafana, etc.), distributed tracing (OpenTelemetry), APM, RUM, cloud-native environments (AWS, GCP, Azure, Kubernetes, serverless architectures), and familiarity with DevOps, SRE, and modern application delivery practicesExcellent communication skills – able to simplify the complex and tell a compelling technical story.Strong bias for action and ownership of leading the technical side of engagements.Hands-on mentality – comfortable writing queries, configuring integrations, and instrumenting code in real time.Bonus Points
Exposure to modern AI concepts, especially as it relates to observability, troubleshooting, and improvements in developer productivity : statistical anomaly detection, generative AI, MCP servers, coding assistants, etc.#J-18808-Ljbffr