Coralogix is a modern full-stack observability platform that transforms how businesses process and understand their data. Our unique architecture delivers in-stream analytics without costly indexing or hot storage. We provide comprehensive monitoring for logs, metrics, traces and security events, including APM, RUM, SIEM and Kubernetes monitoring. Customers improve operational efficiency and cut observability costs by up to 70 percent.
About the Role
We are hiring a Solutions Engineering Team Lead for the East region to scale and guide a high-performing SE team. This is a player-coach role: you will remain customer-facing, owning critical deals and unblocking complex integrations while coaching and developing the regional team. You are accountable for the East SE quota and the technical validation that drives it.
This is an opportunity to shape and scale the SE function at one of the most dynamic observability companies in the industry
Hybrid work model – 3 days per week onsite at our Boston office
Core Responsibilities
Leadership and Field Impact
- Own regional SE performance in partnership with Account Executives, ensuring quota attainment and deal velocity
- Hire, onboard and mentor Solutions Engineers, setting clear KPIs and career paths
- Maintain a strong personal presence with customers, modeling technical excellence and closing strategic opportunities
- Improve processes for discovery, POC execution, documentation and knowledge sharing
- Collaborate with Product, Support and Customer Success to shorten feedback loops and accelerate adoption
Deep Technical Responsibilities
- Architect and deploy reference designs for logs, metrics, traces, SIEM and Kubernetes monitoring across AWS, Azure and GCP
- Lead white-board deep-dive sessions on ingestion pipelines, index-free querying and cost-optimized retention strategies
- Provide escalation support during POCs: troubleshoot complex issues, analyze logs, traces, craft PromQL, Lucene or Dataprime queries and isolate root causes
- Track technical success metrics such as POC win rate, onboarding time-to-value and validation scorecards, converting data insights into process improvements
- Contribute code or scripts (Python, Go or Java) for custom exporters, automation and synthetic monitoring.
- 7+ years in customer-facing technical roles (Sales Engineering, Solutions Architecture or similar)
- 3+ years leading or managing pre-sales technical teams with a record of coaching success
- Experience supporting or owning team-level quotas within a sales organization
- Hands-on expertise with the following: Kibana, Grafana, Datadog, New Relic, Splunk, Honeycomb, Jaeger, OpenSearch
- Proficiency crafting PromQL, Lucene and SQL queries for troubleshooting and dashboards
- Deep knowledge of cloud services central to observability:
- AWS: EKS, Fargate, Lambda, CloudFormation, CloudWatch Logs and Metrics
- Azure Monitor and equivalents in Google Operations Suite
- Working knowledge of OpenTelemetry, modern DevOps and container platforms (Kubernetes, Docker)
- Strong ability to communicate with engineers and C-level audiences alike
- Familiarity with structured sales methodologies such as MEDDPIC or Command of the Message (plus)
- Preferred certifications: AWS Solutions Architect, CKA or CKAD, Prometheus Certified
Compensation and rewards
- The on-target earnings range for this role is $220,000-$300,000. When determining your salary, we consider your experience, skills, education, and work location.
- Our total compensation package includes comprehensive and inclusive employee benefits for healthcare, dental, and mental health benefits, a 401(k) plan and match, paid sick time and paid time off.
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.
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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.
