Observe is an AI-powered observability platform engineered for scale.
Built on an open, scalable data lake, Observe ingests and stores telemetry at dramatically lower cost while allowing reuse through open data formats like Apache Iceberg. Its Knowledge Graph tracks relationships between objects in the system—and how they change over time—providing essential context for investigations. Pairing agentic workflows with context from the Knowledge Graph, Observe’s chat-based AI SRE accelerates root cause analysis and resolution.
Engineering teams at Capital One, Topgolf, and Dialpad ingest hundreds of terabytes daily and troubleshoot 3x faster at 60% lower cost, depending on Observe to maintain reliability at scale.
Team:We’re looking for an Implementation Engineer to help enterprise customers successfully deploy, configure, and operationalize Observe.
This is a hands-on, post-sales technical role focused on delivering strong first outcomes, accelerating time-to-value, and establishing a solid foundation for long-term customer success. Implementation Engineers are deeply technical, customer-facing practitioners who work closely with customer platform, SRE, DevOps, and application teams during onboarding and early adoption.
This role is ideal for a technically strong practitioner who enjoys building real solutions with customers, delivering early wins, and helping shape repeatable, scalable post-sales practices.
In this role you will:Translate existing observability architectures (including OpenTelemetry-based pipelines, Splunk, ELK, and other monitoring solutions) into scalable, production-ready implementations on Observe—using best practices while balancing speed, quality, and customer enablement.
Implementation Engineers focus on initial deployments and time-to-value. They set the technical foundation and tone for the customer relationship by ensuring early success, sound architecture, and a clear path forward. Once customers are live and operational, Observability Engineers and Architects build on this foundation—driving deeper adoption, new use cases, and long-term value.
Lead structured implementations for enterprise customers, from kickoff through initial production readiness
Design and configure telemetry ingestion pipelines across logs, metrics, and traces, including parsing, enrichment, normalization, and routing
Work hands-on with OpenTelemetry instrumentation and collectors, helping customers adopt modern, vendor-neutral observability standards
Migrate and modernize existing observability environments (e.g., Splunk, ELK, cloud-native monitoring tools) into Observe
Configure datasets, dashboards, alerts, and core observability assets aligned to customer use cases
Establish implementation plans, milestones, and success criteria in partnership with customers
Deliver practical, hands-on guidance that enables customers to become self-sufficient on the platform
Identify technical risks, data quality issues, or architectural gaps early and proactively address them
Capture implementation patterns, best practices, and reusable assets to improve consistency and scalability across the team
Collaborate closely with Observability Engineers, Architects, Support, Product, and Engineering to ensure smooth transitions and ongoing success
5+ years of experience in customer-facing technical roles such as implementation engineer, solutions architect, technical consultant, or SRE
Strong hands-on experience with observability platforms and telemetry pipelines
Practical experience with OpenTelemetry (instrumentation, collectors, exporters, pipelines)
Experience working with one or more commercial or open-source observability solutions (e.g., Splunk, ELK/Elastic, Datadog, New Relic, Dynatrace, Grafana)
Solid understanding of logs, metrics, and traces, including data modeling and tradeoffs at scale
Experience working in cloud environments (AWS, GCP, Azure) and modern application architectures
Ability to work directly with technical customer teams and communicate clearly at multiple levels
Strong problem-solving skills and comfort working through ambiguity in fast-moving environments
Experience migrating customers from Splunk or ELK to modern observability platforms
Background in SRE, DevOps, or platform engineering roles
Familiarity with Kubernetes, containerized workloads, and cloud-native tooling
Experience creating implementation templates, runbooks, or enablement content
Exposure to multiple observability vendors or hybrid observability environments
Observe, Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, ancestry, national origin, religion, age, sex, gender identity or expression, sexual orientation, marital status, disability, veteran status, genetic information, or any other legally protected status.
We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process. If you need an accommodation, please let your recruiter know.
By applying, you consent to the processing of your personal information for recruiting purposes in accordance with applicable laws.
Top Skills
What We Do
Observe was founded by Sutter Hill Ventures in November 2017. Our founding team came from leading Enterprise SaaS and software companies that work with vast quantities of data such as Snowflake, Splunk and Wavefront.
Our founding thesis was that the enterprises are data rich, but information poor. Data is siloed making it difficult to understand what’s going on inside applications and infrastructure. The result is often a poor customer experience and wasted engineering time tracking down incidents. Oh, and it costs a fortune.
Observe discerns why applications and infrastructure are running the way they are from the data they emit. We enable engineers to spend more time coding features and less time investigating incidents. We reduce outages and issues with customer experience. And we leverage an elastic cloud architecture so that you only pay for what you use.
