Enterprise Sales Engineer

Enterprise Sales Engineer - US West

Location: Remote - US West (travel as required)
Department: Field Engineering

About the Role

We are looking for an exceptional Enterprise 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 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.

• 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.

• 8+ 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 evaluations

• Strong expertise with:

  • Log aggregation and analysis (Elastic, Loki, Splunk, etc.)

  • Metrics collection and visualization (Prometheus, Grafana, etc.)

  • Distributed tracing (Open Telemetry), APM, RUM

  • Cloud-native environments (AWS, GCP, Azure, Kubernetes, serverless architectures)

  • Familiarity with Dev Ops, SRE, and modern application delivery practices

• Excellent 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. You know how to skillfully handle coordination between internal and external stakeholders to achieve technical wins.

• Hands-on mentality – comfortable writing queries, configuring integrations, and instrumenting code in real time.

• 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.