9 months ago
Base Salary
$347k - $445k/yr
Responsibilities
- Build and scale durable agent runtimes, long-running agent loops, and workflow orchestration using the Codex harness and emerging agent infrastructure.
- Design context and memory systems that provide agents with relevant information while preserving clear access boundaries.
- Develop evaluation frameworks, production feedback loops, and observability systems to measure and improve agent quality.
- Partner with Sales, Technical Success, and Revenue Operations to identify high-value problems and own solutions from prototype through production.
- Build reliable backend services, data pipelines, and integrations that enable agents to act across real-world workflows.
- Collaborate with Product and Research teams to advance agent capabilities and incorporate production learnings into platform improvements.
Requirements
- 6+ years of experience as a software engineer working on applied AI or user-facing systems.
- Demonstrated interest or domain experience in sales technology or enterprise knowledge-work automation.
- Ability to work closely with end users and shape 0-to-1 products.
- Strong initiative, ownership, collaboration, curiosity, and motivation to work on frontier AI systems.
Categories
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.
