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Redpanda Data

Cost-efficient Kafka-compatible streaming platform

Technical Customer Success Manager

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • Have 4 or more years of experience in a TAM, technical customer success manager, or post-sales engineering role supporting data infrastructure, distributed systems, or developer platforms.
  • Have working knowledge of distributed systems concepts such as replication, partitioning, throughput, and latency.
  • Have hands-on familiarity with at least one major cloud provider (AWS, GCP, or Azure) and Kubernetes.
  • Understand networking concepts including VPC peering, PrivateLink, DNS, and TLS.
  • Be able to manage technical escalations to mutually agreeable outcomes.
  • Have strong program and stakeholder management across technical and executive audiences.
  • Be able to break down complex problems into manageable components and drive solutions.
  • Have written and verbal communication skills sufficient to explain technical concepts concisely to non-technical stakeholders.
  • Have experience working in a fast-moving, fully distributed team.

Responsibilities

  • Lead technical onboarding and adoption from architecture review through production go-live, following a customer-agreed success plan and timeline.
  • Run regular cluster health checks and usage reviews using telemetry and dashboards to identify 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 with engineering teams, platform owners, and senior leadership.

Desired Qualifications

  • Have hands-on Apache Kafka or streaming experience, including Kafka, Confluent, Pulsar, or Kinesis.
  • Have experience with large-scale data platforms or complex enterprise software implementations.
  • Have experience with observability tools such as Prometheus and Grafana.
  • Have experience with infrastructure as code tools such as Terraform and Helm.
  • Have scripting experience in Python or Bash.
  • Have cloud or Kubernetes certifications such as AWS or CKA.
  • Have experience with SFDC, Metabase, or Qlik.
  • Be familiar with MEDDIC or similar sales methodologies.

About the Company

Redpanda Data

Cost-efficient Kafka-compatible streaming platform

Redpanda offers a streaming data platform compatible with Kafka APIs, available as a fully managed cloud service or a self-hosted deployment. It ingests and stores real-time data and exposes it to applications through Kafka-compatible interfaces, aiming for high throughput and very low latency while reducing resource use. The platform differentiates itself by cutting infrastructure costs, simplifying deployment, and supporting both cloud and on-premises use, with Jepsen verification for safety and a focus on energy efficiency. Its goal is to provide a practical, easy-to-deploy, cost-effective way for organizations to process real-time data with minimal operational overhead.

Company size
201-500
Company stage
Series D
Total funding
$265.5M
Headquarters
San Francisco, CA
Founded
2019

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