Redpanda is the first runtime and control plane for agent-data interaction — a unified platform that combines streaming, SQL analytics, and intelligent connectivity with the governance layer enterprise AI agents need in production.
Built on infrastructure already trusted by Fortune 500 companies and fast-growing startups, Redpanda enforces governance entirely outside the agent's data path, controlling what agents see, limiting what they do, and capturing a tamper-proof record of everything they touch, so organizations never have to choose between innovation and control.
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
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.
Skills Required
- 4+ years of experience in a TAM, technical customer success, or post-sales engineering role supporting data infrastructure, distributed systems, or developer platforms
- Working knowledge of distributed systems concepts, including replication, partitioning, throughput, and latency
- Hands-on familiarity with at least one major cloud provider: AWS, GCP, or Azure
- Hands-on familiarity with Kubernetes
- Understanding of networking concepts including VPC peering, PrivateLink, DNS, and TLS
- Experience managing technical escalations to mutually agreeable outcomes
- Strong program and stakeholder management across technical and executive audiences
- Ability to break down complex problems and drive solutions
- Excellent written and verbal communication skills, including explaining technical concepts to non-technical stakeholders
- Experience working in a fast-moving, fully distributed team
- Hands-on Apache Kafka or streaming experience, such as Kafka, Confluent, Pulsar, or Kinesis
- Experience with large-scale data platforms or complex enterprise software implementations
- Experience with observability tools such as Prometheus and Grafana
- Experience with infrastructure-as-code tools such as Terraform and Helm
- Scripting experience in Python or Bash
- Cloud or Kubernetes certifications, such as AWS or CKA
- Experience with SFDC, Metabase, or Qlik
- Familiarity with MEDDIC or similar sales methodologies
What We Do
Redpanda is pioneering the Agentic Data Plane (ADP) - a new category in AI infrastructure that makes it simple and secure to connect AI agents with enterprise data and systems. Built on a multi-modal data streaming engine, Redpanda empowers agentic applications that reason and act in real-time with speed, autonomy, and precision. Global leaders including Activision Blizzard, Cisco, Moody's, Texas Instruments, Vodafone and 2 of the top 5 banks in the U.S. rely on Redpanda to process hundreds of terabytes of data a day. Backed by premier venture investors Lightspeed, GV and Haystack VC, Redpanda is a diverse, people-first organization with teams distributed around the globe.
Why Work With Us
We are a fully remote, diverse and inclusive team of doers, seasoned engineers, hackers, and builders, working on the future of streaming data and agentic applications. We’re committed to fostering an inclusive, innovative environment where every team member can grow, thrive, and make a real impact.
Gallery
