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Order Management & Billing, Ads

Job Overview

Location

San Francisco

Job Type

Full-time

Category

Operations

Date Posted

July 10, 2026

Full Job Description

đź“‹ Description

  • • We are looking for a strategic and hands-on operator to help build and scale the operational backbone supporting OpenAI's Ads monetization business.
  • • This role will own operational readiness and execution across the Ads Order-to-Cash lifecycle, ensuring scalable billing operations, financial accuracy, and strong operational controls.
  • • You will combine operational leadership, process design, systems thinking, and automation to build scalable processes that support one of OpenAI's fastest-growing revenue streams.
  • • You'll own operational readiness for new Ads monetization launches, including testing, billing validation, reconciliation, go-live execution, and post-launch hypercare.
  • • You will design and scale operational processes supporting Ads billing, campaign monetization, credits, coupons, pricing changes, adjustments, and invoice generation.
  • • You will partner closely with Ads Product, Engineering, Revenue Systems, GTM, Deal Desk, Finance, and Legal to operationalize new monetization capabilities while ensuring downstream billing and revenue processes remain accurate.
  • • You will build scalable operational workflows supporting high-volume Ads transactions while maintaining strong financial controls and operational excellence.
  • • You will scale execution through BPO and global operations teams by developing SOPs, playbooks, training programs, quality frameworks, and governance models.
  • • You will drive automation and AI-enabled workflows that reduce manual work, improve operational efficiency, detect billing anomalies, and proactively identify revenue-impacting issues.
  • • You will establish operational controls, approval frameworks, audit trails, and segregation of duties supporting SOX compliance and financial reporting requirements.
  • • You will ensure billing completeness and financial accuracy during month-end close through reconciliations across campaign delivery, pricing, usage, invoicing, credits, and revenue systems.
  • • You will partner with Analytics and Engineering to build KPIs and operational dashboards measuring billing accuracy, invoice quality, automation rates, operational throughput, customer escalations, and launch readiness.
  • • You will identify process improvement opportunities across the Ads Order-to-Cash lifecycle and help define the long-term operating model supporting global scale.
  • • You will develop operational documentation, runbooks, enablement materials, and governance processes that enable consistent execution as the Ads business continues to grow.

🎯 Requirements

  • • 7+ years of experience in Ads Operations, Monetization Operations, Billing Operations, Revenue Operations, or Order-to-Cash within a high-growth technology company.
  • • Experience supporting digital advertising platforms, marketplace businesses, usage-based billing, or other high-volume transaction environments.
  • • Strong understanding of Ads monetization models including CPM, CPC, CPA, credits, promotional programs, discounts, and usage-based pricing.
  • • Hands-on experience with enterprise business systems such as Salesforce, CPQ, Oracle Fusion, NetSuite, Stripe, Metronome, or similar billing and ERP platforms.
  • • Experience partnering closely with Product and Engineering teams to operationalize new monetization capabilities and system launches.
  • • Deep understanding of operational controls, reconciliations, month-end close, audit readiness, and SOX compliance.
  • • Demonstrated success leading automation initiatives and leveraging AI to improve operational efficiency and reduce manual work.
  • • Strong analytical and problem-solving skills with the ability to investigate complex billing and monetization issues across multiple systems.
  • • Exceptional communication and stakeholder management skills with experience driving alignment across Product, Engineering, Finance, Revenue, and GTM organizations.
  • • Experience building scalable global operating models leveraging BPO, offshore teams, and standardized operational processes.
  • • Ability to thrive in a fast-moving environment with evolving products, changing priorities, and significant ambiguity.

🏖️ Benefits

  • • Opportunity to work with a leading AI research and deployment company.
  • • Competitive salary and benefits package.
  • • Relocation assistance.
  • • Hybrid work model of 3 days per week in the office.
  • • Opportunity to work on a high-growth revenue stream.
  • • Opportunity to build scalable processes that support one of OpenAI's fastest-growing revenue streams.
  • • Opportunity to partner with cross-functional teams to operationalize new monetization capabilities and system launches.
  • • Opportunity to drive automation and AI-enabled workflows that reduce manual work and improve operational efficiency.
  • • Opportunity to establish operational controls, approval frameworks, audit trails, and segregation of duties supporting SOX compliance and financial reporting requirements.
  • • Opportunity to ensure billing completeness and financial accuracy during month-end close through reconciliations across campaign delivery, pricing, usage, invoicing, credits, and revenue systems.
  • • Opportunity to partner with Analytics and Engineering to build KPIs and operational dashboards measuring billing accuracy, invoice quality, automation rates, operational throughput, customer escalations, and launch readiness.
  • • Opportunity to identify process improvement opportunities across the Ads Order-to-Cash lifecycle and help define the long-term operating model supporting global scale.
  • • Opportunity to develop operational documentation, runbooks, enablement materials, and governance processes that enable consistent execution as the Ads business continues to grow.
  • • Opportunity to work on a project that has the potential to positively impact the world.

Skills & Technologies

Hybrid

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About OpenAI, Inc.

OpenAI is a San Francisco-based artificial intelligence research and deployment company founded in 2015. It develops large-scale AI models such as GPT, DALL-E, and Codex, providing cloud APIs and consumer applications like ChatGPT. Originally established as a non-profit, it later created a capped-profit subsidiary to attract capital while maintaining its mission to ensure artificial general intelligence benefits all of humanity.

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