FAL

FAL

Staff Software Engineer, Payments

San Francisco · Staff+

Sponsorship not specified$160k-$200kDetected 61 days ago
PythonNext.jsPostgreSQLBigQueryAWSGCPKubernetesKafkaData EngineeringA/B TestingCollaboration

About the role

  • You will work cross-functionally with Product, Finance, and Infrastructure teams to ensure our billing system is robust, accurate, and capable of supporting new pricing models as our product grows.

Responsibilities

  • Design and build event-driven billing systems that process real-time usage data.
  • Build Python-based microservices running on Kubernetes to handle billing workflows.
  • Develop data storage and processing flows for downstream analysis in BigQuery.
  • Collaborate with product engineers to build Next.js dashboards and admin tools for billing insights and reconciliation.
  • Ensure billing systems are accurate, auditable, and scalable to support new product launches and pricing models.
  • Partner with Finance to automate reporting, reconciliation, and revenue analytics.
  • Ability to build admin interfaces or customer dashboards using Next.js.

Requirements

  • Experience with usage-based billing systems or event-driven architectures.
  • Familiarity with Stripe (payments, invoicing) and Orb (usage metering) APIs.
  • Experience with Postgres for transactional data and BigQuery for analytics.
  • Experience with Kubernetes and containerized deployments.
  • Comfort working with event-driven data pipelines (e.g., Kafka, Pub/Sub, or similar).

Nice to have

  • Experience with FinTech, SaaS, or cloud usage billing at scale.
  • Familiarity with cloud providers (AWS, GCP) and their billing models.
  • Knowledge of pricing experimentation or monetization platforms.

Skills

  • fal is the generative media ecosystem powering the next generation of AI products.
  • About this role

Compensation

  • $160,000 - $200,000 + equity + comprehensive benefits package
  • We are currently hiring in downtown San Francisco.

Company info

  • What We're Looking For
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This listing is sourced directly from FAL's careers page and normalized into a canonical job model.