About Coralogix
Coralogix is a modern, full-stack observability platform transforming how businesses process and understand their data. Our unique architecture powers in-stream analytics without reliance on expensive indexing or hot storage. We specialize in comprehensive monitoring of logs, metrics, trace and security events with features such as APM, RUM, SIEM, Kubernetes monitoring and more, all enhancing operational efficiency and reducing observability spend by up to 70%.
The Role
As a Technical Account Manager (TAM), you are a trusted advisor helping customers optimize their observability strategy. This role combines deep technical expertise with a customer-first mindset. You will act as a strategic partner to everyone from DevOps engineers to C-suite executives, ensuring product value, driving adoption, and supporting retention and expansion.
This is a hybrid role based out of our London or Romania offices.
Key Responsibilities
- Onboarding & Integration: Lead the technical onboarding process, establishing integrations and delivering tailored product training.
- Technical Advisory: Architect data-driven customer success plans and act as an expert guide on observability best practices.
- Problem Solving: Troubleshoot complex platform and data pipeline issues to ensure seamless performance.
- Strategic Engagement: Conduct Quarterly Business Reviews (QBRs) to demonstrate ROI and align with customer business goals.
- Cross-Functional Collaboration: Advocate for customer needs to influence our product roadmap, and partner with Sales to identify growth and renewal opportunities.
Technical
- Cloud & Containers: Hands-on experience with AWS (EKS, ECS, Lambda, CloudWatch, etc.). Azure or GCP is a plus. Strong Kubernetes and Docker troubleshooting skills.
- Observability & Pipelines: Experience with OpenTelemetry, Fluentd, Fluent Bit, or Logstash. Familiarity with observability tools like Grafana, OpenSearch, Prometheus, Datadog, Dynatrace, New Relic or Splunk.
- IaC & Systems: Good knowledge of Linux and hands-on experience with Infrastructure as a Code (Terraform/Ansible).
- Query Languages: Experience with RegEx, Lucene, and PromQL.
Customer & Communication
- Client Facing: Proven experience managing technical customer relationships with a high-energy, proactive approach.
- Communication: Exceptional English communication and presentation skills, with the ability to build credibility with both technical teams and executives.
Preferred Advantages
- B2B SaaS experience.
- BSc in Computer Science or Engineering.
- Comfortable coding in any high-level programming language (Java, Go, Python).
Cultural Fit
We’re seeking candidates who are hungry, humble and smart. Coralogix fosters a culture of innovation and continuous learning, where team members are encouraged to challenge the status quo and contribute to our shared mission. If you thrive in dynamic environments and are eager to shape the future of observability solutions, we’d love to hear from you.
Coralogix is an equal opportunity employer and encourages applicants from all backgrounds to apply.
Skills Required
- Hands-on experience with AWS (EKS, ECS, Lambda, CloudWatch)
- Experience with Azure or GCP
- Strong Kubernetes and Docker troubleshooting skills
- Experience with OpenTelemetry, Fluentd, Fluent Bit, or Logstash
- Familiarity with Grafana, OpenSearch, Prometheus, Datadog, Dynatrace, New Relic or Splunk
- Good knowledge of Linux
- Hands-on experience with Infrastructure as Code (Terraform/Ansible)
- Experience with RegEx, Lucene, and PromQL
- Proven experience managing technical customer relationships
- Exceptional English communication and presentation skills
- B2B SaaS experience
- BSc in Computer Science or Engineering
- Comfortable coding in Java, Go, or Python
What We Do
We’re rebuilding the path to observability using a real-time streaming analytics pipeline that provides monitoring, visualization, and alerting capabilities without the burden of indexing. By enabling users to define different data pipelines per use case, we provide deep insights for less than half the cost. In short, we are streaming the future of data.
