About the job
About Our Team
The Technical Success team at OpenAI is pivotal in ensuring the seamless and secure deployment of ChatGPT and OpenAI API applications for both developers and enterprises. Acting as trusted advisors, we empower our customers to maximize the value derived from our innovative models and products.
Within this team, the AI Deployment Engineering group is dedicated to supporting high-impact and strategic partners. We engage collaboratively to overcome technical challenges, provide in-depth expertise, and co-create groundbreaking ecosystem experiences that showcase the enhanced benefits of partnering with OpenAI.
About the Role
We are seeking an AI Deployment Engineer to play a crucial role in shaping the future of OpenAI’s partner ecosystem within the ChatGPT domain across various applications and commerce. As the primary technical resource for our strategic partners, you will lead solution design efforts and co-develop innovative experiences that fully leverage our platform's capabilities.
You will provide expert technical guidance while collaborating with our Partnerships, Product, Engineering, and Go-To-Market teams, reporting directly to the Technical Success department.
This position is based in our San Francisco or New York City office, utilizing a hybrid work model of three days in-office each week, with relocation assistance available for new hires.
Key Responsibilities:
Deliver outstanding partner experiences by providing technical expertise, scoping use cases, and aiding in the development of applications within ChatGPT and commerce checkout processes alongside technical stakeholders and strategic partners.
Collaborate with our Partnerships team to design and support ecosystem integrations, ensuring technical feasibility and impactful launches.
Advise partners on best practices for utilizing the OpenAI API and ChatGPT to develop secure, scalable, and unique experiences.
Act as the initial point of contact for inquiries related to design, security, compliance, and architecture, escalating complex requirements to internal experts when necessary.
Develop and sustain documentation, implementation guides, and FAQs addressing common partner requirements and technical hurdles.
Collect partner feedback to represent the ecosystem's voice within internal teams, influencing product roadmaps and future partner initiatives.

