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Billing Analyst (MaaS)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Singapore/Malaysia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Billing Analyst (MaaS) (AI cloud billing): Ensuring accurate usage-to-invoice reconciliation for token, GPU-second, storage, and API consumption on an AI Model-as-a-Service platform with an accent on usage-based pricing, billing data quality, and service-credit calculations. Focus on tracing discrepancies to metering events, maintaining pricing models, detecting anomalies, and resolving customer billing disputes with SQL, spreadsheets, and billing-platform configuration.

Location: Singapore or Penang, Malaysia

Company

hirify.global is a technology company providing Bitcoin mining solutions, ASIC hardware, datacenter operations, and AI cloud services.

What you will do

  • Reconcile token counts, GPU-seconds, storage, and API usage against billed invoice line items each billing cycle.
  • Investigate account- and job-level discrepancies, identify metering, pricing, or timing issues, and coordinate fixes with engineering and finance-systems teams.
  • Maintain usage-based pricing models for tokens, GPU hours, dedicated capacity, tiered pricing, and committed-use discounts.
  • Calculate and issue auditable service credits for GPU faults, node failures, and capacity outages using SLA terms and incident timelines.
  • Monitor billing data for duplicate events, missing records, pricing-tier errors, and unusual spend patterns.
  • Support customer billing disputes by explaining usage evidence and charge or credit calculations to account managers and support teams.

Requirements

  • 3+ years of experience in billing operations, revenue operations, or financial analysis in cloud infrastructure, SaaS, or another usage-metered business.
  • Strong SQL skills and experience querying large usage and billing datasets in a data warehouse such as Snowflake, BigQuery, or Redshift.
  • Hands-on experience with a usage-based or subscription billing platform such as Stripe Billing, Zuora, Chargebee, Metronome, or Orb.
  • Knowledge of GPU and compute-based pricing, including per-token, per-GPU-hour, tiered, and committed-use models.
  • Advanced Excel or Google Sheets modeling skills and basic scripting experience in Python or a similar language.
  • Ability to collaborate with engineering, finance, and customer-facing teams and trace invoice discrepancies back to raw metering events.

Culture & Benefits

  • Inclusive environment that values authenticity and diverse perspectives.
  • Start-up spirit within a fast-growing technology company.
  • Opportunity to contribute to digital asset and AI cloud projects.
  • Autonomy, personal accountability, fast growth, and learning opportunities.
  • Training, mentoring, welfare benefits, and opportunities to develop new processes and systems.

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