OpenAI Logo

OpenAI

Software Engineer, Ads Monetization, Revenue Platform

Reposted 27 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
230K-385K Annually
Senior level
In-Office
San Francisco, CA, USA
230K-385K Annually
Senior level
The Software Engineer will architect and build monetization systems for ChatGPT Ads, ensuring data correctness and collaborating with various teams to enhance user experience.
The summary above was generated by AI

About the Team

The Applied team at OpenAI safely brings cutting-edge technology to the world. We have released widely used products such as ChatGPT, Sora, and the OpenAI API, powering models including GPT-5 and a growing set of multimodal capabilities across text, image, audio, and video. Our team also manages large-scale inference and platform infrastructure that supports these experiences at global scale. With much more on the horizon, our impact continues to grow.

Our customers build fast-growing businesses using our APIs, unlocking product capabilities that were previously unimaginable. ChatGPT and Sora exemplify the breadth of what’s now possible across text, image, audio, and video experiences. As these capabilities expand, we prioritize the responsible use of our technology, emphasizing safe and thoughtful deployment over unchecked growth.

Within Applied Engineering, the Ads Monetization team in Financial Engineering builds the core systems dealing with all the money flows for ChatGPT Ads. These systems are a combination of low-latency, high scale, high reliability, while being built in a financially correct, accurate, auditable and explainable way. This role sits at the intersection of ads delivery, data engineering, and financial systems.

In this role, you will:

  • Architect and build the core monetization systems for ChatGPT Ads.

  • Build and operate the core services and pipelines that power ads monetization end-to-end, from event capture and validation through aggregation, pricing, metering, and ultimately producing billable outputs.

  • Define and implement the source of truth for ads monetization data, including schemas, data models, and invariants that ensure outputs are consistent, explainable, and auditable.

  • Own correctness and reconciliation: align production outputs with downstream invoicing/finance requirements, build controls/monitors, and close gaps through investigations and backfills.

  • Develop across the stack to create comprehensive billing integrations for our range of ChatGPT and API users.

  • Collaborate closely with a wide array of stakeholders, including the Ads Engineering, Data Science, Product, Finance, and Go-To-Market teams, as well as fellow engineers.

You might thrive in this role if you:

  • Possess a minimum of 5 years of professional software engineering experience.

  • Bring significant experience in developing (and redeveloping) distributed systems to launch new product capabilities and to handle scaling challenges.

  • Enjoy engaging with various partners, particularly those outside of engineering.

  • Have a keen and innate desire to learn and acquire new skills, coupled with a strong ability to impart that knowledge clearly and succinctly to others.

  • Are deeply invested in creating an exceptional user experience, taking pride in crafting products that address customer needs.

  • Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines.

  • Experience with ads systems is a plus, but not required.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

HQ

OpenAI San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

An Hour Ago
Remote or Hybrid
USA
100K-155K Annually
Senior level
100K-155K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Build and operate AWS GovCloud data infrastructure across development, preproduction, and production environments. Establish PostgreSQL platforms, infrastructure-as-code with Chef, BI infrastructure, identity integrations, monitoring, observability, CI/CD, and disaster recovery. Support data pipelines, troubleshoot incidents, optimize databases, and ensure FedRAMP and FISMA compliance. Collaborate with security, compliance, DevOps, and data engineering teams while delivering greenfield infrastructure from architecture through production.
Top Skills: AWSAws GovcloudBashChefCi/CdCloudwatchDatadogEltETLGitGitlabGoogle SamlJenkinsNagiosPostgresPythonRubySsoTableau ServerVpc
An Hour Ago
Remote or Hybrid
USA
140K-215K Annually
Senior level
140K-215K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Design, implement, optimize, and maintain scalable hybrid multi-cloud Kubernetes platforms operating at massive scale. Integrate open-source technologies, improve platform reliability, provide technical direction, mentor engineers, and participate in on-call support. The role requires expertise managing large Kubernetes clusters, observability tools, Linux environments, public clouds, custom data centers, and AI-enabled workflow improvements.
Top Skills: AlertmanagerAWSGCPGoGrafanaHybrid Multi-CloudKubernetesKubernetes OperatorsLinuxOciPrometheusThanos
3 Hours Ago
In-Office or Remote
United States
Mid level
Mid level
Big Data • Information Technology • Software • Analytics • Energy
Manage medium- to large-scale IT projects from initiation through completion, including software implementations, system integrations, data solutions, requirements, schedules, budgets, risks, resources, and delivery. Lead cross-functional teams, coordinate business and technical stakeholders, support statements of work and client presentations, manage project financials, and identify opportunities for business development. The role requires strong consulting, client delivery, communication, planning, negotiation, and stakeholder management skills, with potential travel based on project needs.
Top Skills: Data ArchitectureData VisualizationEnterprise Software ImplementationsExcelMicrosoft Office SuiteMicrosoft PowerpointMicrosoft ProjectMicrosoft WordSystem Integrations

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account