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.
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.
- 3–5 years of experience in Account Management, with a strong focus on managing technical customer relationships and a high-energy, proactive approach.
- 2+ years of hands-on experience with AWS, including EKS, ECS, Lambda, CloudWatch, and related services. Experience with Azure or GCP is a plus.
- Strong Kubernetes and Docker troubleshooting skills.
- Experience with OpenTelemetry, Fluentd, Fluent Bit, or Logstash, with familiarity with observability tools such as Grafana, OpenSearch, Prometheus, Datadog, Dynatrace, New Relic, or Splunk.
- Strong knowledge of Linux and hands-on experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible.
- Experience with RegEx, Lucene, and PromQL.
- 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
- 3–5 years of account management experience focused on technical customer relationships
- 2+ years of hands-on AWS experience, including EKS, ECS, Lambda, and CloudWatch
- Strong Kubernetes and Docker troubleshooting skills
- Experience with OpenTelemetry, Fluentd, Fluent Bit, or Logstash
- Familiarity with observability tools such as Grafana, OpenSearch, Prometheus, Datadog, Dynatrace, New Relic, or Splunk
- Strong Linux knowledge
- Hands-on experience with infrastructure-as-code tools such as Terraform or Ansible
- Experience with RegEx, Lucene, and PromQL
- Exceptional English communication and presentation skills
- Experience with Azure or GCP
- B2B SaaS experience
- BSc in Computer Science or Engineering
- Comfort coding in a high-level programming language such as 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.
