Billing Analyst - MaaS at Bitdeer Technologies Group in Singapore; Penang

Job description

About Bitdeer: Bitdeer is a world-leading technology company for Bitcoin mining and AI cloud. Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers. Apart from designing industry-leading ASIC chips and manufacturing mining rigs, the Group handles complex processes involved in computing across the value chain. This includes equipment procurement, transport logistics, datacenter design and construction, equipment management, and network and facility operations. Bitdeer also offers advanced cloud capabilities to customers with a high demand for artificial intelligence. Headquartered in Singapore, Bitdeer operates globally with a diversified 3 GW energy portfolio, and deploys Bitcoin mining and HPC datacenters in the United States, Bhutan, Norway, Canada, Malaysia, and Ethiopia. About the role We are seeking a Billing Analyst to own the accuracy of usage-to-invoice for Bitdeer AI's Model-as-a-Service platform, making sure every token processed, GPU-second consumed, and fine-tuning job run is metered correctly and reflected faithfully on customer invoices. Today, raw inference usage events, GPU-hour allocations, and tiered per-token pricing rules live across several internal metering pipelines and billing systems that do not always agree, which produces recurring month-end discrepancies between what customers were charged and what they actually consumed, and slows down the process of issuing service credits when GPU faults or capacity outages interrupt a customer's workload. This role closes that gap: reconciling usage data against billing records line by line, maintaining and evolving the pricing models that translate consumption into charges, and calculating fair, well-documented credits when infrastructure failures affect a tenant's jobs. The person who thrives here is comfortable moving between spreadsheets, SQL queries, and billing-platform configuration in the same afternoon, treats a small reconciliation gap as a signal worth chasing rather than a rounding error, and can explain a pricing or credit decision clearly to both an engineer debugging a metering pipeline and a customer disputing an invoice. What you will be responsible for: Usage-to-Invoice Reconciliation : Reconcile raw metering data, including token counts, GPU-seconds, storage, and API call volumes, against billed line items on the MaaS platform every billing cycle. Investigate variances between usage logs and invoiced amounts down to the account and job level, tracing them to metering pipeline bugs, pricing misconfigurations, or timing gaps. Document root causes and drive fixes with engineering and finance-systems teams so recurring discrepancies do not reappear the following month. Pricing Model Maintenance : Maintain and help evolve the pricing models that convert raw consumption into customer charges, including per-token rates for chat and embeddings, per-GPU-hour rates for fine-tuning and dedicated capacity, and tiered or committed-use discounts. Model the revenue impact of proposed pricing changes before they ship, and validate that pricing configuration in the billing system matches what product and sales have committed to customers, catching mismatches before they reach an invoice. GPU-Fault Service Credits : Calculate and issue service credits when GPU faults, node failures, or capacity outages interrupt customer inference or training jobs, using SLA terms and incident timelines from infrastructure and reliability teams. Build a consistent, auditable methodology for sizing credits so similar incidents are treated the same way across customers, and track credit issuance so it can be reported as a cost of reliability rather than absorbed silently into revenue. Billing Data Quality and Anomaly Detection : Monitor usage and billing pipelines for anomalies such as duplicate metering events, missing usage records, or pricing-tier misapplication before invoices go out. Build recurring checks and lightweight dashboards that