Strategic Post-Sales Engineer for AI Infra

vCluster; Germany (OH); On-site; USD 150,000 - 175,000; Full time

Benefits offered by this job

Competitive Salary + Equity

Platinum-Level Insurance

Flexible Working Schedule

Workplace Flexibility

Job summary

VCluster Labs seeks a Customer Success Engineer to drive adoption and growth after the deal closes. You will own onboarding, coordinate architecture workshops, and partner with Platform Engineering, DevOps, and executives to ensure outcomes that maximize ROI and time-to-value.

You will build success plans, track KPIs, and articulate business value, while leading renewal conversations and expanding use cases across Tenant Clusters and AI workloads.

Qualifications

• Experience in a technical post-sales role 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; able to discuss architecture questions with platform engineers and developers.

Responsibilities

• Lead onboarding and ensure successful customer handoffs and project close.
• Build and maintain customer success plans with KPIs and adoption milestones.
• Articulate value through platform adoption, ROI, and cost efficiency metrics.
• Own the customer relationship cadence, including quarterly and executive business reviews.
• Engage with platform engineers, DevOps, and architects to discuss deployment patterns and Day 2 operations.
• Identify renewal and expansion triggers and collaborate to convert them into growth.

Skills

Post-Sales Experience

Kubernetes

Cloud-native technologies

Executive communication

Renewal & Expansion

Job description

VCluster Labs seeks a Customer Success Engineer to drive adoption and growth after the deal closes. You will own onboarding, coordinate architecture workshops, and partner with Platform Engineering, DevOps, and executives to ensure outcomes that maximize ROI and time-to-value.

You will build success plans, track KPIs, and articulate business value, while leading renewal conversations and expanding use cases across Tenant Clusters and AI workloads.