About the Role:Technical Customer Success Managers own the post-sale technical relationship with our customers. You will drive accelerated time to production, keep deployments healthy as they scale, and turn technical success into customer-led growth and industry-leading NRR (Net Revenue Retention). You are the customer's trusted technical advisor: you understand their architecture, anticipate issues before they escalate, and coordinate the right Redpanda resources to resolve them.
You Will:- Lead technical onboarding and adoption, from architecture review through production go-live, against a customer-agreed success plan and timeline
- Run regular cluster health checks and usage reviews using telemetry and dashboards to spot risk, capacity issues, and expansion opportunities early
- Own technical escalations end to end, partnering with Support and Engineering to drive root cause analysis and resolution
- Translate customer requirements into clear, prioritized feedback for Product Management and Engineering
- Act as the customer's trusted advisor and advocate, aligning Solutions Architects, Engineering, Product, and Support as needed
- Communicate confidently with engineering teams, platform owners, and senior leadership
You Have:- 4+ years in a TAM, technical CSM, or post-sales engineering role supporting data infrastructure, distributed systems, or developer platforms
- Working knowledge of distributed systems concepts such as replication, partitioning, throughput, and latency
- Hands-on familiarity with at least one major cloud provider (AWS, GCP, Azure) and with Kubernetes
- Understanding of networking concepts (VPC peering, PrivateLink, DNS, TLS)
- Proven ability to manage technical escalations to mutually agreeable outcomes
- Strong program and stakeholder management across technical and executive audiences
- Ability to break down complex problems into manageable components and drive solutions
- Excellent written and verbal communication, with the ability to explain technical concepts concisely to non-technical stakeholders
- Experience working in a fast-moving, 100% distributed team
Nice to Have:- Hands-on Apache Kafka or streaming experience (Kafka, Confluent, Pulsar, Kinesis)
- Experience with large-scale data platforms or complex enterprise software implementations
- Observability tooling such as Prometheus and Grafana
- Infrastructure as code (Terraform, Helm)
- Scripting in Python or Bash
- Cloud or Kubernetes certifications (AWS, CKA)
- SFDC, Metabase, Qlik
- Familiarity with MEDDIC or similar sales methodologies
