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vCluster Labs is seeking a Customer Success Engineer to serve as the primary architect of customer outcomes post-sale. You will work with hyper-growth AI cloud providers and Fortune 500 enterprises to ensure they realize full value from their investment in vCluster's infrastructure platform.
In this role, you will own the complete customer lifecycle from onboarding through renewal and expansion. You will lead end-to-end onboardings including architecture workshops, platform installation, and operational readiness reviews. You will build and maintain living success plans that document business objectives, KPIs, and adoption milestones, using them to drive every customer conversation.
You will translate technical platform adoption into business outcomes—connecting tenant cluster growth, provisioning time savings, and developer self-service enablement to metrics customers care about: cost efficiency, engineering velocity, risk reduction, and platform ROI. You will own the customer relationship cadence with regular check-ins, Quarterly Business Reviews, and Executive Business Reviews that reinforce strategic partnership.
Your technical credibility is essential. You will hold credible conversations with platform engineers, DevOps leads, and architects about vCluster architecture, tenant cluster deployment patterns, RBAC, tenant isolation, integrations, and Day 2 operations. You will independently assist customers with technical challenges and design optimal deployment architectures.
You will own the renewal motion starting 90+ days out, recognizing expansion triggers such as new use cases, AI/GPU workloads, additional tenant clusters, and tier upgrades. You will work with Account Executives and Solutions Engineers to convert these into growth opportunities. You will also serve as the internal voice of customers, representing their feature requests, escalating blockers, and providing actionable feedback to Product and Engineering.
vCluster Labs is a venture-backed startup (raised $28M+ from Khosla Ventures and others) in hyper-growth phase. The company is the #1 platform for AI infrastructure, powering over 100,000 GPUs and 1 million CPUs across 50+ AI clouds and Fortune 500 companies. Headquarters are in San Francisco with a distributed, remote-first team of 40+ infrastructure engineers.
REQUIREMENTS:
- Proven post-sales experience in a technical role (customer success, technical account management, or professional services) with a track record of driving adoption and measurable business outcomes across a portfolio of technical customers.
- Hands-on familiarity with Kubernetes and cloud-native technologies; ability to engage with platform engineers on architecture questions, discuss RBAC and tenant isolation patterns, and hold credible conversations about cloud infrastructure.
- Ability to communicate effectively across stakeholder ranges—from executive business reviews with technology leaders to technical troubleshooting with platform engineers.
- Structured, proactive approach to work using success plans, adoption milestones, and renewal timelines; ability to identify risk before customers surface it.
- Commercial awareness of what drives renewal and expansion in SaaS/platform businesses; ability to surface growth opportunities that solve real customer problems.
BONUS QUALIFICATIONS:
- Kubernetes certification (CKA or CKAD) or equivalent demonstrated technical depth in cloud-native infrastructure.
- Experience with AI/ML infrastructure, GPU compute environments, or customers building internal developer platforms at scale.
- Background working with regulated industries (financial services, healthcare, public sector) where compliance and governance add complexity.
- Contributions to Kubernetes or open-source ecosystem.
- Experience at Series B-D startup operating with autonomy and building repeatable post-sales motion from the ground up.
