FriendliAI
Get AI-powered advice on this job and more exclusive features.
FriendliAI is hiring a Billing Engineer to build our next-generation, in-house metering and billing platform. The billing system should power complex, rapidly evolving pricing across subscriptions, usage, tiers, discounts, overages, and custom enterprise contracts. Youll be the primary contributor implementing event-driven pipelines, pricing/rating logic, and deep Stripe integrations. Youll work with other software engineers for key decisions while going hands-on in Python/Go services, Kafka-based event pipelines, and cloud operations across AWS (plus other cloud services).
We are looking for someone who loves turning messy real-world usage into precise, auditable invoices; who designs for correctness, configurability, and change as our pricing strategy evolves continuously.
Key Responsibilities
Design and implement Kafka-backed metering and event pipelines Implement pricing and rating logics. Encode plans, tiers, proration, discounts, custom contracts, and more. Should support mid-cycle price and plan changes safely. Own Stripe integrations. Implement Payments and invoicing, webhooks, retries, refunds, and reconciliation workflows. Model billing domain by developing data models for product catalogs, entitlements, and charge items. Ensure the accuracy of the billing system and provide observability to the system. Qualifications
3+ years of backend engineering experience building production services. Bachelors or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent Proficiency in Python; strong software design and code quality. Experience with event streaming (Kafka or similar) and distributed system concepts. Strong SQL and data modeling skills; comfort with large-scale usage data and financial accuracy. Experience with ClickHouse (or similar OLAP systems) for high-volume usage aggregation and analytics. API design expertise with gRPC and REST: resource modeling, versioning, backward compatibility, authn/z, pagination, idempotency. Cloud experience with AWS and familiarity with containers and CI/CD. Clear written and verbal communication; ability to translate pricing/business rules into robust systems. Preferred Experience
Background in a fintech company or experience building in-house usage-based billing platforms. Knowledge of dunning strategies, dispute/chargeback workflows, and revenue assurance. Experience integrating with cloud marketplaces (e.g., AWS marketplace), including private offers, SaaS/usage metering and entitlements, fulfillment APIs, and downstream invoicing. Experience with infrastructure-as-code and security best practices. A front-row seat to the AI infrastructure revolution. Opportunity to work cross-functionally with top-tier engineers, product leaders, and go-to-market teams. Competitive compensation. Premium hardware and health support benefits. A highly collaborative, fast-moving team where your impact is immediate and visible. About us
FriendliAI, a San Mateo, CA-based startup, is building the next-generation AI inference platform that accelerates the deployment of large language and multimodal models with unmatched performance and efficiency. Our infrastructure supports high-throughput, low-latency AI workloads for organizations worldwide. We are also integrated with the Hugging Face platform, allowing instant access to over 430,000 open-source models. We are on a mission to deliver the worlds best platform for generative and agentic AI. Employment type
Full-time Industries
Software Development
#J-18808-Ljbffr
Design and implement Kafka-backed metering and event pipelines Implement pricing and rating logics. Encode plans, tiers, proration, discounts, custom contracts, and more. Should support mid-cycle price and plan changes safely. Own Stripe integrations. Implement Payments and invoicing, webhooks, retries, refunds, and reconciliation workflows. Model billing domain by developing data models for product catalogs, entitlements, and charge items. Ensure the accuracy of the billing system and provide observability to the system. Qualifications
3+ years of backend engineering experience building production services. Bachelors or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent Proficiency in Python; strong software design and code quality. Experience with event streaming (Kafka or similar) and distributed system concepts. Strong SQL and data modeling skills; comfort with large-scale usage data and financial accuracy. Experience with ClickHouse (or similar OLAP systems) for high-volume usage aggregation and analytics. API design expertise with gRPC and REST: resource modeling, versioning, backward compatibility, authn/z, pagination, idempotency. Cloud experience with AWS and familiarity with containers and CI/CD. Clear written and verbal communication; ability to translate pricing/business rules into robust systems. Preferred Experience
Background in a fintech company or experience building in-house usage-based billing platforms. Knowledge of dunning strategies, dispute/chargeback workflows, and revenue assurance. Experience integrating with cloud marketplaces (e.g., AWS marketplace), including private offers, SaaS/usage metering and entitlements, fulfillment APIs, and downstream invoicing. Experience with infrastructure-as-code and security best practices. A front-row seat to the AI infrastructure revolution. Opportunity to work cross-functionally with top-tier engineers, product leaders, and go-to-market teams. Competitive compensation. Premium hardware and health support benefits. A highly collaborative, fast-moving team where your impact is immediate and visible. About us
FriendliAI, a San Mateo, CA-based startup, is building the next-generation AI inference platform that accelerates the deployment of large language and multimodal models with unmatched performance and efficiency. Our infrastructure supports high-throughput, low-latency AI workloads for organizations worldwide. We are also integrated with the Hugging Face platform, allowing instant access to over 430,000 open-source models. We are on a mission to deliver the worlds best platform for generative and agentic AI. Employment type
Full-time Industries
Software Development
#J-18808-Ljbffr