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Observe, Inc. logo

Enterprise Sales Engineer

Job Overview

Location

San Mateo

Job Type

Full-time

Category

Data Science

Date Posted

October 27, 2025

Full Job Description

đź“‹ Description

  • • Own the technical win for every deal on the US West patch, partnering shoulder-to-shoulder with Account Executives to craft differentiated strategies that turn prospects into lifelong Observe customers.
  • • Run deep discovery workshops with VP- and Director-level stakeholders, translating raw pain points—MTTR too high, on-call burnout, exploding data costs—into crisp, measurable success criteria that map directly to Observe’s observability platform.
  • • Deliver jaw-dropping product demonstrations that weave customer data into live dashboards, trace waterfalls, and AI-driven insights—showing not just how Observe works, but why it is the only architecture that can scale to petabytes without breaking the bank.
  • • Architect and lead proof-of-concepts end-to-end: define scope, instrument sample applications, onboard terabytes of logs, metrics, and traces, and stand up executive-level readouts that prove 10Ă— faster root-cause and 50 % infra-cost reduction.
  • • Design best-practice deployment blueprints for hybrid and multi-cloud environments—Kubernetes, ECS, Lambda, GKE, AKS—covering secure data ingestion, role-based access, retention policies, and cost-optimized storage tiers.
  • • Serve as the technical quarterback during competitive bake-offs against Datadog, New Relic, Splunk, and Grafana—running side-by-side benchmarks, debunking FUD, and positioning Observe’s unique data-graph engine and predictable pricing.
  • • Influence the product roadmap by distilling field intelligence into actionable feature requests; join weekly engineering syncs to ensure customer requirements are prioritized in upcoming sprints.
  • • Mentor junior SEs and partner enablement teams, creating reusable demo scripts, Terraform modules, and run-books that accelerate time-to-value across the entire West region.
  • • Travel up to 40 % across the western US to meet customers on-site, present at local meetups, and evangelize modern observability practices—turning every trip into pipeline generation and brand amplification.
  • • Stay ahead of the curve by experimenting with emerging standards like OpenTelemetry 2.0, eBPF instrumentation, and generative-AI-driven anomaly detection, then feeding those insights back into sales plays and technical blogs.
  • • Champion DevOps and SRE culture inside customer organizations, guiding them to adopt GitOps-driven deployments, SLO-based alerting, and chaos-engineering practices that maximize reliability and developer velocity.
  • • Own post-sales technical success for the first 90 days of each new logo, ensuring smooth hand-off to Customer Success while maintaining executive relationships that seed future expansion and multi-year renewals.

Skills & Technologies

AWS
Azure
GCP
Kubernetes
Prometheus
Remote

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Observe, Inc. logo
Observe, Inc.
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About Observe, Inc.

Observe provides a cloud-native observability platform that unifies logs, metrics, and traces into a single data lake. Engineers can search, analyze, and correlate telemetry in real time to troubleshoot distributed systems, investigate incidents, and track service-level objectives. The platform stores raw data in Amazon S3 and uses a columnar database to deliver sub-second queries at petabyte scale. Customers connect agents and open-source collectors, build dashboards, set alerts, and share links that replay exact system state. Founded in 2017, the company serves technology enterprises seeking faster root-cause analysis and lower observability costs.

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