[Remote] Enterprise Sales Engineer at Observe

San Mateo, Alajuela, Costa Rica

Observe Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
TechnologyIndustries

Requirements

  • 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.)
  • Strong expertise with metrics collection and visualization (Prometheus, Grafana, etc.)
  • Strong expertise with distributed tracing (OpenTelemetry), APM, RUM
  • Strong expertise with cloud-native environments (AWS, GCP, Azure, Kubernetes, serverless architectures)
  • Familiarity with DevOps, 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, with skillful handling of coordination between internal and external stakeholders
  • Hands-on mentality – comfortable writing queries, configuring integrations, and instrumenting code in real time
  • Bonus: 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.)

Responsibilities

  • 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

Skills

observability
monitoring
logging
tracing
distributed tracing
log analytics
metrics pipelines
service monitoring
product demonstrations
POCs
instrumentation
data onboarding
dashboarding
New Relic
Datadog
Grafana

Observe

Software platform for application data monitoring

About Observe

Observe Inc. offers the Observability Cloud, a platform that helps businesses manage and analyze the large amounts of data generated by complex applications. This tool is designed for software developers and engineering managers, providing a comprehensive way to monitor application performance by ingesting data from various sources and formats. Unlike traditional monitoring tools, the Observability Cloud offers a holistic view, addressing the challenges of continuous releases and frequent updates. The company operates on a subscription model, allowing users to try the platform for free, and emphasizes high-quality customer support as a key differentiator.

San Mateo, CaliforniaHeadquarters
2017Year Founded
$281.6MTotal Funding
SERIES_BCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
201-500Employees

Benefits

Remote Work Options
Flexible Work Hours

Risks

AI integration may introduce technical challenges affecting platform stability.
Reliance on Snowflake poses risks if pricing or service terms change.
New data sharing capabilities could raise data privacy and security concerns.

Differentiation

Observe consolidates logs, metrics, and traces into a unified data lake.
Data Graph technology enables faster issue diagnosis in distributed applications.
Observability Cloud ingests data from any source, offering a holistic application view.

Upsides

Integration with Snowflake enhances data analytics and market reach.
AI-powered observability tools offer advanced insights, aligning with AI integration trends.
$145M Series B funding boosts product development and expansion efforts.

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