AI Deployment Manager @ OpenAI
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Job Details
About The Team
The AI Deployment and Adoption team at OpenAI ensures the successful post-sales deployment and value realization of ChatGPT Enterprise and other OpenAI products. The team works with large enterprises, startups, and digital organizations, collaborating closely with Sales, Technical Success, and Product teams to deliver exceptional AI experiences and measurable business results.
About The Role
As an AI Deployment Manager, you will lead strategic, time-bound implementations and drive the adoption and value of ChatGPT Enterprise. You will connect with customers to understand their needs and to deliver an excellent, measurable customer experience through production deployments and user training.
- Manage structured onboarding and deployment projects.
- Guide organizations with change management expertise.
- Oversee technical deployment of ChatGPT and related products.
- Design and lead hackathons, workshops, and training sessions.
- Collaborate with Sales, Solutions Engineering, and Product teams.
You’ll Thrive In This Role If You
You have 6+ years of customer-facing experience, have led complex implementations of Generative AI / ML solutions, and possess excellent communication skills. You are adept at handling multiple projects simultaneously and committed to fostering ethical AI evolution.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The company values diverse perspectives, safety, and ethical innovation in the development of its groundbreaking technologies.
Key skills/competency
- Deployment
- Adoption
- Implementation
- Customer Success
- Change Management
- Technical Deployment
- ChatGPT
- Generative AI
- Workshop Design
- Cross-functional Collaboration
How to Get Hired at OpenAI
🎯 Tips for Getting Hired
- Customize your resume: Highlight AI deployment and customer success.
- Research OpenAI: Understand their mission and tech innovations.
- Prepare your portfolio: Showcase past AI or ML projects.
- Practice interview insights: Emphasize strategic implementations.