Product Manager, Multimodal Safety
OpenAI
- Pay
- $293k–$325k
- Workplace
- On-site
- Location
- San Francisco · California · United States
- First seen
- 10 days ago
- Last seen
- 4 hours ago
- Board
- Ashby
Summary
About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society.
Posting
About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. About the Role We are hiring a Product Manager to focus on risk related to multimodal models. In this role, you will drive initiatives which ensure that OpenAI’s audio, image, and video deployments are safe, impactful, and aligned with user needs and technical innovation. You will clarify strategic priorities, develop safety-focused product roadmaps, and collaborate closely with AI researchers, software engineers, policy experts, and cross-functional partners. This role suits a proactive, technically skilled product manager adept at adversarial thinking and excited to tackle challenging, ambiguous problems through structured analysis and collaborative decision-making. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: - Partner closely with AI research, engineering, data science, policy teams, and other stakeholders to embed safety throughout the development and deployment of multimodal AI models - such as GPT-Live https://openai.com/index/introducing-gpt-live/ and ChatGPT Images https://openai.com/index/introducing-chatgpt-images-2-0/ - as well as multimodal capabilities in frontier AI models. - Develop comprehensive frameworks for understanding and mitigating deployment safety risks, drawing on data analysis, expert consultation, and adversarial assessments. - Define strategic priorities and product roadmaps focused on improving deployment safety, enhancing reliability, and managing multimodal AI capabilities. - Create scalable approaches for evaluating and improving safety outcomes. - Establish repeatable processes to integrate cutting-edge AI safety research into OpenAI’s models and product offerings. - Develop and continuously refine