6 дней назад
Customer Success Engineer (AI Infrastructure)
150 000 - 175 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Customer Success Engineer (AI Infrastructure): Leading technical customer onboarding, adoption, renewals, and expansion for a Kubernetes-based AI infrastructure platform with an accent on cloud-native architecture, tenant isolation, and measurable business outcomes. Focus on designing deployment architectures, solving platform and operational challenges, and connecting GPU infrastructure adoption to customer ROI.
Location: Remote within the United States; USA - New York City
Salary: $150,000–$175,000 estimated annual base salary, plus equity and commission.
Company
is a venture-backed startup building AI infrastructure and open-source Kubernetes tenancy platforms for AI cloud providers, AI factories, and enterprise customers.
What you will do
- Own end-to-end customer onboarding, including architecture workshops, platform installation, access setup, integrations, and operational readiness reviews.
- Build and maintain success plans covering business objectives, KPIs, adoption milestones, and renewal timelines.
- Translate platform adoption, Tenant Cluster growth, provisioning efficiency, and developer self-service into measurable business outcomes.
- Lead regular customer check-ins, Quarterly Business Reviews, and Executive Business Reviews.
- Advise platform engineers, DevOps teams, and architects on Kubernetes deployment patterns, RBAC, Tenant Isolation, integrations, and Day 2 operations.
- Own renewal activities, identify expansion opportunities, and communicate customer feedback to Product and Engineering.
Requirements
- Experience in a technical post-sales role such as customer success, technical account management, or professional services.
- Hands-on familiarity with Kubernetes and cloud-native technologies.
- Ability to discuss architecture, RBAC, Tenant Isolation, and cloud infrastructure with technical stakeholders.
- Ability to communicate effectively with both executive buyers and platform engineers.
- Structured, proactive approach to success planning, adoption tracking, risk identification, renewals, and expansion.
- Understanding of renewal and expansion drivers in SaaS or platform businesses.
Nice to have
- Kubernetes certification such as CKA or CKAD.
- Experience with AI/ML infrastructure, GPU compute environments, or internal developer platforms at scale.
- Experience with regulated industries such as financial services, healthcare, or the public sector.
- Contributions to Kubernetes or other open-source projects.
- Experience at a Series B–D startup building a repeatable post-sales motion.
Culture & Benefits
- Remote-first culture with a distributed global team and flexible workplace arrangements.
- Flexible working schedule focused on results rather than fixed daily hours.
- Health, dental, vision, and life insurance for employees and eligible dependents, with benefits varying by country.
- Competitive compensation package including equity and commission.
- Culture centered on ownership, measurable impact, open source, and intentional technical innovation.
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