5 hours ago
Base Salary
$185k - $300k/yr
Responsibilities
- Own technical delivery across multiple customer deployments from prototype through stable production.
- Lead discovery, technical scoping, system design, build, rollout, adoption, and delivery sequencing.
- Build full-stack systems and contribute directly to production code when needed.
- Embed with customer teams, understand their needs, and guide adoption.
- Codify working patterns into reusable tools, playbooks, and building blocks.
- Provide field feedback to Research and Product teams about model performance and improvement opportunities.
- Manage trade-offs among scope, speed, and quality while identifying risks and removing blockers.
Requirements
- 5+ years of engineering or technical deployment experience, including customer-facing work.
- Experience scoping and delivering complex systems in fast-moving or ambiguous environments.
- Ability to write and review production-grade frontend and backend code using Python, JavaScript, or comparable stacks.
- Experience building or deploying systems powered by LLMs or generative models.
- Understanding of how model behavior affects product experience.
- Clear communication with engineers, product teams, and customer stakeholders, plus sound decision-making under pressure.
Benefits
- Seattle-based hybrid work model requiring three days in the office per week.
- Relocation assistance is offered.
- Travel up to 50% is required.
- Reasonable accommodations are available for applicants with disabilities.
Tech Stack
Categories
Forward Deployed
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.