Owns DeepInfra’s usage-to-revenue billing pipeline, including metering, invoicing, payment performance, reconciliations, fraud prevention, dunning, collections, and pricing-model launches. Partners with Engineering, Finance, Sales, and the Controller to manage billing systems, revenue accounting workflows, payment gateways, and scalable financial operations for self-serve and enterprise customers.
About DeepInfra
Role Overview
What You’ll Do
Usage-Based Rating & Metering
Billing Operations & Reconciliations
Payments & Gateway Infrastructure
Fraud Detection & Abuse Prevention
Credit, Collections & Dunning
Cross-Functional Collaboration
What You Bring
How we work
Compensation
DeepInfra is building the foundation for companies to use modern AI in production — simply, reliably, and at scale. Our team has deep experience building large systems that serve hundreds of millions of users, and we’re bringing that same level of rigor to a rapidly evolving AI inference space. Our mission is to make advanced AI available to people and teams everywhere.
We’re an early, tight-knit team where you can influence product direction, try bold ideas, and drive meaningful work forward quickly. If you want to join a fast-growing company at a defining moment, we’d love to talk.
DeepInfra is backed by leading investors including A.Capital, Felicis, 500 Global, Georges Harik, Samsung Next, Supermicro, Upper90, Peak6, SVAngel and Nvidia.
Role Overview
We are looking for a Billing & Payments Manager to own how DeepInfra turns usage into revenue. Thousands of developers and companies run AI models on our platform every day, paying through self-serve credit cards, prepaid developer wallets, and custom enterprise terms — and you’ll own the pipeline that meters that usage, bills it accurately, and collects it reliably.
You’ll run billing operations, optimize payments performance, protect the platform against billing fraud and abuse, and help launch new pricing models as our product grows. You’ll work closely with Engineering, Finance, and Sales. We’re looking for someone analytical, operationally sharp, and comfortable working deeply across both data and systems.
What You’ll Do
Usage-Based Rating & Metering
- Telemetry-to-Cash Pipeline: Oversee the end-to-end pipeline from metered usage through rating, invoicing, and cash collection.
- High-Volume Invoicing: Run monthly and real-time invoicing across thousands of self-serve customers, prepaid developer wallets, and custom enterprise accounts payable terms.
- Daily Reconciliations: Reconcile transaction fees, card authorizations, and chargebacks against Stripe and other payment gateways.
Payments & Gateway Infrastructure
- Payment Performance: Manage payment gateway routing, interchange optimization, localized payment methods, and retry logic to improve payment success rates and reduce involuntary churn.
- Billing Fraud: Partner with Engineering to identify and mitigate API billing fraud and abuse.
- Dunning & Suspension: Manage dunning sequences for failed self-serve payments and define automated API key suspension thresholds.
- Collections: Lead collections for overdue mid-market and enterprise accounts.
Cross-Functional Collaboration
- Revenue Accounting: Partner with the Corporate Controller on deferred revenue and breakage schedules.
- Pricing Launches: Partner with Engineering and company leadership to operationalize new pricing models, such as committed throughput reservations, burst overages, and multimodal image and audio pricing.
- Experience: 6+ years of relevant experience in billing operations, payments, monetization, revenue operations, or related roles, ideally within a usage-based SaaS, cloud infrastructure, fintech, or developer platform business.
- Payments Expertise: Strong hands-on experience with Stripe or comparable payment platforms and a solid understanding of payment authorization, retries, chargebacks, and payment performance.
- Usage-Based Billing: Experience with metered or consumption-based billing, prepaid credits, enterprise invoicing, or other complex billing models.
- Data Fluency: Strong analytical skills and comfort working directly with billing, payment, and usage data. SQL experience is a strong plus.
- Technical Partnership: Ability to work closely with Engineering on billing systems, integrations, fraud controls, and automation.
- Operational Ownership: Comfortable owning critical financial workflows end to end, identifying issues quickly, and building processes and systems that can scale with a rapidly growing business.
Three traits define the people who thrive here, and this role leans on all three.
Initiative. We take ownership and step in where we can add value. Whether it’s starting something new, improving what exists, or helping move ideas forward, we aim to be proactive and thoughtful in how we contribute.
Drive. We’re energized by hard problems. Building AI infrastructure is complex, and we lean into that. We care about doing things well, moving fast, and continuously improving — because solving meaningful challenges is what motivates us.
Grit. Things don’t always work on the first try — and that’s expected. We stay persistent, adapt quickly, and learn as we go. We take setbacks seriously, but not personally, and use them to get better.
The base pay range for this role is $150,000 – $180,000 per year.
Deep Infra Inc. Palo Alto, California, USA Office
Palo Alto, California, United States, 94306
Similar Jobs
Information Technology
Originates and advances enterprise software sales opportunities for billing and payments solutions. Responsibilities include pipeline development, discovery, value propositions, proposals, deal execution, partner coordination, forecasting, CRM management, and executive engagement. The role requires expertise in utility, tolling, telecommunications, billing, payments, SaaS, AI-enabled transformation, and complex commercial negotiations. It also supports account planning, industry events, channel partners, and junior sales colleagues.
Top Skills:
Agentic WorkflowsCloud ComputingCRMDigital WalletsLlmsMachine Learning PlatformsOpen BankingPayment OrchestrationSaaS
Fintech • Information Technology • Payments • Financial Services
The FP&A Analyst will oversee financial planning, analysis, investor reporting, and data process improvements. This includes modeling, budgeting, revenue analysis, and cross-functional collaboration to drive insights and enhance financial data management.
Top Skills:
ExcelPower BISQLTableau
.png)
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Owns quality assurance for cryptocurrency and sanctions compliance programs, including sampling, decision reviews, metrics, risk reporting, corrective actions, and continuous improvement. Partners with BSA/CFT and Sanctions program owners and leadership to ensure compliance standards align with regulatory requirements and product growth. Requires deep AML, KYC, sanctions, and fintech compliance expertise, strong analytical and communication skills, executive influence, and AI fluency.
Top Skills:
Ai/Ml-Driven Compliance ToolsArtificial IntelligenceCryptocurrencyMachine LearningRisk-Decisioning Tools
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
