Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль подробно описана и предполагает прямую ответственность за биллинг растущего GPU-облачного продукта, но без зарплатного диапазона сложно оценить уровень оплаты.
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Зарплата не указанаЧёткая зона ответственностиСовременные технологииРост AI-облакаСвязь с крипторынком
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Billing Analyst - Managed K8s (GPU Cloud Billing): Designing pricing models, analyzing metered GPU cloud usage, reconciling invoices, and administering GPU-fault credits with an accent on SKU complexity, usage attribution, and billing accuracy. Focus on validating Kubernetes metering outputs, investigating rating and reconciliation drift, and building auditable pricing, credit, and invoice-control processes.
Location: Singapore or Penang, Malaysia
Company
hirify.global is a technology company providing Bitcoin mining solutions and AI cloud infrastructure, including ASIC manufacturing, datacenter operations, and GPU cloud services.
What you will do
Design and maintain pricing models across GPU types, regions, commitment tiers, and spot or on-demand usage.
Analyze metered GPU-hours, node-hours, storage, and network egress across clusters and namespaces.
Reconcile usage data with billing statements and payment records, identify discrepancies, and lead root-cause investigations.
Administer GPU-fault credits by determining eligibility, calculating adjustments, and maintaining auditable records.
Partner with finance, product, engineering, and infrastructure teams on pricing, metering, billing readiness, and credit policies.
Build documented processes and controls for month-end close, invoice review, pricing rules, SKU definitions, and credit issuance.
Requirements
3+ years of experience in billing, revenue operations, or financial analysis for a usage-based or consumption-priced product.
Experience with pricing model design and billing reconciliation for products with complex SKU matrices.
Strong analytical skills with usage and billing data, including direct work with SQL or spreadsheets and large usage-event datasets.
Experience administering credit, adjustment, or SLA-remediation processes with full auditability.
Ability to work cross-functionally with engineering to define metering requirements and validate platform usage data without writing the underlying metering code.
Familiarity with cloud or Kubernetes usage measurement, including compute-hours, GPU-hours, and node- or pod-level attribution, is valuable.
Culture & Benefits
Inclusive environment valuing authenticity and diverse perspectives.
Startup spirit within a fast-growing technology company.
Opportunities to contribute to new projects and develop processes and systems.
Autonomy, personal accountability, professional growth, training, and mentoring.
Welfare benefits and opportunities to work with digital asset industry specialists.
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