3 months ago
Base Salary
$250k - $330k/yr
Responsibilities
- Engage strategic customers during early alpha stages to understand goals, workflows, technical constraints, and valuable opportunities
- Translate emerging and ambiguous model capabilities into scoped use cases, working prototypes, and clear success criteria
- Prototype rapidly with customers, Product, and Research through experiment-driven iteration
- Design and support evaluations of model behavior, solution quality, workflow impact, and failure modes
- Evaluate feedback and troubleshoot product and model behavior to identify patterns and gaps
- Own early access programs from customer onboarding and live experimentation through findings synthesis and launch decisions
- Coordinate Research, Product, Engineering, GTM, Legal, Security, Marketing, and launch teams around risks, tradeoffs, and recommendations
- Codify architectures, evaluation methods, technical patterns, and program learnings into reusable deployment playbooks
Requirements
- 4+ years of software engineering or equivalent technical experience, including meaningful customer-facing delivery and ownership of production systems
- Experience rapidly turning ambiguous ideas into working prototypes and developing reliable solutions, with demonstrated systems thinking
- Proficiency in Python and/or JavaScript or TypeScript, with comfort across modern front-end and back-end development and familiarity with cloud deployment
- Practical AI and LLM experience, including reasoning about model behavior, designing evaluations, and building production-oriented AI applications
- Strong product and customer judgment, including identifying high-value problems, scoping experiments, separating signal from noise, and balancing speed with technical integrity
- Ability to own problems end to end, learn unfamiliar technical or domain concepts quickly, and create structure in ambiguous situations
- Ability to manage multiple high-stakes technical engagements while anticipating blockers and maintaining momentum
- Clear and empathetic communication skills with technical and non-technical stakeholders
Benefits
- Hybrid work model with three days in the San Francisco office per week
- Relocation assistance is offered to new employees
Tech Stack
Categories
Forward DeployedSolutions Engineering
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.