Streamlining and automating OpenAI's Applied AI organization's operations and information channels to enable collaboration at scale and bring advanced AI solutions to market.
Requirements
- Experience with OpenAI LLM APIs (text generation, structured outputs, function calling)
- Programming Languages: Python, JavaScript (for automation scripts).
- No-Code/Low-Code Platforms: e.g. Airtable, Zapier, Retool.
- Data Analysis & Visualization Tools: Experience with data languages/tools like SQL, Google Sheets automations, Databricks.
- Can understand technical aspects of Large Language Model architectures and training pipelines in order to guide model training campaigns.
Responsibilities
- Drive and optimize the end-to-end API product launch framework, ensuring cross-functional alignment and efficient execution from planning to post-launch support.
- Lead coordination for high-impact projects (e.g., Dev Days), managing timelines, resources, and communications to ensure successful outcomes.
- Develop systems to capture, synthesize, and relay API product feedback, translating insights into actionable recommendations for product and engineering teams.
- Foster strong partnerships across Product, Engineering, GTM, and Support to align goals, streamline communication, and support business priorities.
- Implement goals- and metrics-driven processes, continuously refining team operations to support product growth, complexity, and enterprise customer needs.
- Assist in building and scaling the Product Operations function at OpenAI, helping to shape strategy, culture, and operational excellence.
- Can build systems/tools (via code / no-code / AI) to facilitate internal processes with a great user experience for those who need to use them.
Other
- Have experience working with developers and have user empathy
- Have an entrepreneurial spirit
- Are fantastic at building cross-functional relationships and having an appreciation for the many roles involved in bringing products to market and supporting them.
- Are able to move fast to get initial versions of solutions up, and then iterate them to improve the experience and scalability.
- can self-prioritize launch and move/ switch amongst many projects
