[Remote] Enterprise Sales Engineer at Observe

San Mateo, Alajuela, Costa Rica

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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

Key technologies and capabilities for this role

observabilitymonitoringloggingtracingdistributed tracinglog analyticsmetrics pipelinesservice monitoringproduct demonstrationsPOCsinstrumentationdata onboardingdashboardingNew RelicDatadogGrafana

Questions & Answers

Common questions about this position

Is this Enterprise Sales Engineer role remote?

Yes, the role is remote in US West with travel as required.

What experience level is required for this position?

The role requires 8+ years in a Sales Engineering, Solutions Architect, or similar customer-facing technical role in observability/monitoring/logging.

What technical expertise is needed for this Sales Engineer role?

Strong expertise is required in log aggregation and analysis (Elastic, Loki, Splunk, etc.), metrics collection and visualization (Prometheus, Grafana, etc.), distributed tracing (OpenTelemetry), APM, RUM, and cloud-native environments (AWS, GCP, Azure, Kubernetes, serverless architectures).

What prior company experience is preferred?

Experience at a leading observability vendor such as New Relic, Datadog, Grafana, Splunk, or Sumo Logic is required, along with a proven track record in upper mid-market and enterprise accounts.

What makes a strong candidate for this Enterprise Sales Engineer position?

Candidates with excellent communication skills to simplify complex topics, a hands-on mentality for real-time coding and configurations, strong bias for action, and experience leading competitive takeouts will stand out.

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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