---
title: 'Software Engineer, Ads Integrity at OpenAI'
canonical: 'https://feeny.ai/job/software-engineer-ads-integrity-openai-san-francisco-38yrn224frtc'
type: 'job'
last_seen: '2026-11-05'
---

# Software Engineer, Ads Integrity at OpenAI

- **Company:** [OpenAI](https://feeny.ai/companies/openai)
- **Location:** San Francisco, CA
- **Compensation:** $293k–$385k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-14
- **Last confirmed live:** 2026-11-05
- **Apply:** https://jobs.ashbyhq.com/openai/596e543a-0ab9-471e-a1ff-40fd55c74fce

## Job description

## About the Team

The Integrity team builds the systems that protect OpenAI’s products, users, and ecosystem from abuse. We work across product engineering, infrastructure, safety, and operations to detect and prevent harmful, fraudulent, deceptive, and adversarial activity at global scale. As OpenAI builds new ads experiences, we are establishing the integrity foundation that will keep the ads ecosystem safe and trustworthy from the start. This includes protecting advertiser onboarding, detecting unsafe or policy-violating ad content, preventing fraudulent and abusive advertiser behavior, and defending the ads ecosystem against spam, manipulation, and other forms of abuse. Ads Integrity is a new and highly cross-functional area. The team partners closely with Ads, Product, Safety, Policy, ML, Privacy, Security, and operations teams to build protections directly into the ads platform rather than layering them on after the fact. This is an opportunity to define how integrity works for a new ads ecosystem from first principles.

## About the Role

We’re looking for an experienced Software Engineer to build the backend systems and infrastructure that keep OpenAI’s ads products safe, trustworthy, and resilient to abuse. In this foundational role, you will design systems that detect, prevent, and respond to harmful, deceptive, fraudulent, or policy-violating activity across the ads lifecycle. The problems span advertiser onboarding and verification, account and behavioral risk, content safety, spam and fraudulent interactions, detection and enforcement infrastructure, and the systems that connect integrity signals and models to real-time product decisions. This is not an ML-specialist role, but familiarity with ML for Ads integrity is always welcome. You’ll work closely with ML engineers and researchers and build systems that consume and operationalize ML-based signals, but your primary focus will be designing and operating robust backend and distributed systems. You’ll help determine how signals, rules, models, and human review come together into reliable integrity protections for advertisements that can operate at OpenAI scale. This role is particularly well suited to an engineer who has built large-scale systems in integrity, trust and safety, anti-abuse, fraud, risk, security, or a related adversarial domain. You will have significant ownership over what we build and how we build it, partnering across Integrity and Ads to establish the architecture and technical foundations that will protect OpenAI’s ads ecosystem as it grows. This role is based in San Francisco. We offer relocation assistance to new employees. In this role, you will:

- Design and build large-scale backend systems that detect and prevent harmful, deceptive, fraudulent, or policy-violating activity across the ads ecosystem.
- Build low-latency integrity infrastructure capable of evaluating risk signals and making decisions in or near real time.
- Develop scalable risk-signal pipelines, decision systems, rules and enforcement infrastructure across the advertiser and ads lifecycle.
- Build advertiser onboarding, business verification, account-risk, fraud-detection, and abuse-prevention capabilities that make it harder for malicious actors to enter or exploit the ecosystem.
- Develop systems that support ads-specific content safety and enable the detection and enforcement of unsafe, misleading, deceptive, or policy-violating ads.
- Build protections against spam, fraudulent interactions, manipulation, and other adversarial behaviors that threaten the health of the ads ecosystem.
- Partner with ML teams to integrate classifiers and model-based signals into production integrity systems, including both lightweight real-time protections and more sophisticated asynchronous detection.
- Build feedback loops, review systems, and integrity metrics that improve detection quality while carefully managing false positives and impact on legitimate advertisers and users.
- Create tooling and infrastructure that enable operations and policy teams to investigate abuse and make fast, consistent, and explainable decisions.
- Engineer systems that adapt as adversaries change their tactics and support effective experimentation, monitoring, and incident response.
- Partner closely with Ads Engineering to integrate integrity protections throughout the ads platform without compromising reliability, latency, or product quality.
- Help define the technical strategy and architecture for Ads Integrity as both the product and underlying threat landscape evolve.

You might thrive in this role if you:

- Have significant experience building and operating large-scale backend or distributed systems.
- Have worked on integrity, trust and safety, anti-abuse, fraud, risk, security, business verification, or another domain where systems must operate against sophisticated or evolving adversaries.
- Have built detection, decisioning, enforcement, verification, investigation, or risk infrastructure in production.
- Understand how rules, heuristics, risk signals, ML-based signals, and human review can work together within a dependable production system.
- Are comfortable building ML-adjacent infrastructure and partnering closely with ML teams without needing to be an ML domain expert.
- Have built low-latency, high-throughput services or data pipelines with demanding reliability, correctness, privacy, and security requirements.
- Can reason about false positives, adversarial behavior, explainability, auditability, and the operational impact of automated enforcement.
- Think holistically about threat models, system architecture, data quality, observability, user impact, and ecosystem health.
- Can define technical direction in an ambiguous 0→1 environment and independently drive complex work across teams.
- Communicate clearly and work effectively across engineering, product, policy, safety, security, operations, and machine-learning teams.
- Have experience with ads, ads integrity, advertiser systems, or ads fraud. This is a plus, but not a requirement.
- Are excited to build the integrity foundation for a new product area rather than inherit a mature system.

## 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](https://cdn.openai.com/policies/eeo-policy-statement.pdf). 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](https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA). 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](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241). [OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf) 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.

## About OpenAI

## Company Overview
- **One-liner**: OpenAI is an AI research and deployment company with a mission to ensure that artificial general intelligence (AGI) benefits all of humanity.
- **Entity Type**: Private – structured as a nonprofit parent (OpenAI Foundation) governing a for-profit public benefit corporation (OpenAI Group). The company has confidentially submitted a draft S-1 registration statement to the SEC, signaling a potential future IPO.
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2015
- **Founders**: Sam Altman, Greg Brockman, Ilya Sutskever, John Schulman, Wojciech Zaremba, and others

## Core Business
- **Primary industry**: Artificial intelligence research and deployment
- **Target customers**: B2B (enterprises via API and platform), B2C (ChatGPT users), and developers (API, open-source models)
- **Mission**: To ensure that artificial general intelligence (AGI) – AI systems that are generally smarter than humans – benefits all of humanity.

## Products & Services
- **[ChatGPT](https://openai.com/chatgpt)**: Conversational AI assistant available via web and mobile, used by consumers and integrated into enterprise workflows.
- **[GPT-4 API](https://openai.com/product)**: Large language model accessed via API for developers to build AI-powered applications (text generation, summarization, code assistance, etc.).
- **[DALL-E](https://openai.com/dall-e-3)**: Image generation model that creates images from natural language descriptions.
- **[Whisper](https://openai.com/research/whisper)**: Open-source speech recognition system.
- **[OpenAI Agents](https://openai.com/)**: Emerging product category focused on autonomous AI agents that can perform tasks on behalf of users (announced June 2026).

## Market Standing
- **Valuation**: Not publicly disclosed in the provided sources. Widely reported in the press at ~$300 billion as of early 2026 (post-funding round), but this figure is not confirmed by OpenAI’s official materials.
- **Key Metric**: Total funding exceeds $13 billion from Microsoft and other investors. The company has also confidentially filed a draft S-1 with the SEC (see [openai.com](https://openai.com/) – “Confidential submission of draft S-1”).
- **Notable Investors/Partners**: Microsoft (strategic partner and largest investor), with additional participation from Thrive Capital, Sequoia Capital, Andreessen Horowitz, and others.
- **Growth Signals**: Active hiring with 721 open roles posted; expansion into agent-based products; confidential IPO filing; continued deployment of frontier models.

## Competitive Advantages
- **First-mover & brand recognition**: ChatGPT became the fastest-growing consumer app in history, establishing OpenAI as the household name in generative AI.
- **Research leadership**: Consistently publishes cutting-edge research (GPT-4, DALL-E 3, Whisper, etc.) and attracts top AI talent.
- **Compute & infrastructure**: Exclusive partnership with Microsoft provides massive cloud computing resources (Azure) for training and inference.
- **Unique governance structure**: The nonprofit parent ensures mission alignment (AGI benefiting humanity) while the for-profit arm can raise capital and scale products.

## Strategic Focus
- **Safe AGI development**: Continued emphasis on safety research, alignment, and responsible deployment (e.g., safety systems, model provenance).
- **Enterprise expansion**: Growing ChatGPT Enterprise and API offerings for businesses.
- **Agentic AI**: Building autonomous agents that can “transform work” (announced June 2026).
- **IPO preparation**: Confidential S-1 filing indicates intent to go public, which will require increased financial transparency and governance maturity.

## Why Work Here
- **Culture & values**: OpenAI’s stated values include “Humanity first,” “Act with humility,” “Feel the AGI,” and “Ship joy.” Operating principles emphasize agency, creativity, rapid iteration, and intense focus.
- **Benefits**: Competitive health insurance, mental healthcare support, 24-week paid birth-parent leave (plus 20 weeks for other parents), generous PTO, annual learning & development stipend, daily meals (breakfast, lunch, dinner), and a domestic conference budget.
- **Work environment**: Hybrid/office-based (San Francisco headquarters). The company offers a residency program for researchers and engineers transitioning into AI.
- **Impact**: Employees work directly on frontier AI models that shape the industry and society. The mission-driven nature attracts talent passionate about AGI’s societal implications.

## Sources
1. [OpenAI About Page](https://openai.com/about/)
2. [OpenAI Careers Page](https://openai.com/careers/)
3. [OpenAI Job Search](https://openai.com/careers/search)
4. [OpenAI Homepage](https://openai.com/)

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