8 дней назад
Customer Success Engineer (AI Infrastructure)
150 000 - 175 000AUD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Customer Success Engineer (AI Infrastructure): Driving onboarding, adoption, renewals, and expansion for a Kubernetes-based AI infrastructure platform with an accent on customer architecture, Tenant Cluster operations, and measurable business outcomes. Focus on designing deployment architectures, solving cloud-native infrastructure challenges, and connecting platform usage to cost efficiency, engineering velocity, and platform ROI.
Location: Remote, Australia
Salary: A$150,000–A$175,000 estimated annual base salary, plus equity and commission.
Company
is a venture-backed startup building AI infrastructure platforms and open-source Kubernetes tenancy technology for AI cloud providers and enterprise customers.
What you will do
- Lead end-to-end customer onboarding from sales handoff through project close, including architecture workshops, platform installation, access setup, integrations, and operational readiness reviews.
- Build and maintain customer success plans covering business objectives, KPIs, adoption milestones, and renewal timelines.
- Translate platform adoption, Tenant Cluster growth, provisioning savings, and developer self-service into measurable business outcomes.
- Manage customer engagement through regular check-ins, Quarterly Business Reviews, and Executive Business Reviews.
- Provide technical guidance on architecture, Tenant Cluster deployment patterns, RBAC, tenant isolation, integrations, and Day 2 operations.
- Own renewals, identify expansion opportunities, collaborate with Account Executives and Solutions Engineers, 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, including architecture discussions, RBAC, and tenant isolation patterns.
- Ability to communicate effectively with platform engineers, DevOps teams, architects, technology leaders, and executive buyers.
- Structured and proactive approach to success planning, adoption tracking, renewal management, and risk identification.
- 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, including financial services, healthcare, or the public sector.
- Contributions to Kubernetes or the open-source ecosystem.
- 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 outcomes rather than fixed working hours.
- Competitive compensation package with equity and commission opportunities.
- Health, dental, vision, and life insurance, with coverage varying by country.
- Open-source environment focused on ownership, measurable impact, technical excellence, and intentional innovation.
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