Technical Customer Success Manager
Redpanda Data
- United States
- Mid Level
- 4+ years
- Posted
Skills
Required
- data infrastructure / distributed systems / developer platforms
- AWS
- Kubernetes
- TAM
- Azure
- VPC
- Apache
- Kafka / streaming
- Pulsar
- Prometheus
- Python / Bash
Preferred
- data platforms / complex enterprise software implementations
- MEDDIC
Join Redpanda, a fast-moving, diverse, and people-first organization. As a Technical Customer Success Manager, you will own the post-sale technical relationship with our customers, drive accelerated time to production, and turn technical success into customer-led growth. You will act as the customer's trusted technical advisor, lead technical onboarding and adoption, run regular cluster health checks, and own technical escalations end to end. This is a remote-first position with comprehensive healthcare, 401(k) matching, unlimited PTO, and more.
About Redpanda Data
Infrastructure as code (Terraform, Helm)
Join Redpanda if you’d enjoy being part of a fast-moving, diverse, people-first organization with team members around the globe and a culture based on trust, transparency, communication, and kindness. You'll dive into a nimble, high-impact team with the latest AI tools — and the budget to actually use them
Responsibilities
- Assurer la relation technique post-vente avec les clients, en conduisant l'adoption technique et en garantissant le succès.
- Coordonner les ressources de Redpanda pour résoudre les problèmes techniques, en agissant en tant que conseiller technique de confiance pour le client.
- Gérer les escalades techniques de manière proactive, en collaborant avec le support et l'ingénierie pour analyser et résoudre les problèmes.
Requirements
- 4+ years in a TAM, technical CSM, or post-sales engineering role supporting data infrastructure, distributed systems, or developer platforms
- Excellent written and verbal communication, with the ability to explain technical concepts concisely to non-technical stakeholders
- Strong program and stakeholder management across technical and executive audiences
- Working knowledge of distributed systems concepts such as replication, partitioning, throughput, and latency
- Ability to break down complex problems into manageable components and drive solutions
- 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
- Experience working in a fast-moving, 100% distributed team
- Hands-on Apache Kafka or streaming experience (Kafka, Confluent, Pulsar, Kinesis)
- Observability tooling such as Prometheus and Grafana
- Scripting in Python or Bash
- Cloud or Kubernetes certifications (AWS, CKA)
Preferred
- Experience with large-scale data platforms or complex enterprise software implementations
- SFDC, Metabase, Qlik
- Familiarity with MEDDIC or similar sales methodologies
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