3 hours ago
Base Salary
$459k - $536k/yr
Responsibilities
- Set technical and product direction for significant areas of Codex and translate product vision into scalable architectures and engineering strategy.
- Lead complex multi-quarter initiatives spanning client applications, backend services, agent systems, cloud infrastructure, and developer tooling.
- Design AI-powered workflows that work across languages, codebases, development environments, and organizations.
- Make architectural decisions under ambiguity while balancing product learning, system quality, reliability, safety, and adaptability.
- Drive initiatives from exploration through launch and iteration while aligning stakeholders across teams and disciplines.
- Partner with product, design, research, infrastructure, security, and go-to-market teams.
- Work with developers, open-source maintainers, startups, and enterprises to identify unmet needs and foundational opportunities.
- Establish standards for reliability, observability, performance, experimentation, and evaluation across AI-powered developer workflows.
- Review critical designs, mentor engineers, improve engineering practices, and contribute directly to novel or technically demanding implementation work.
Requirements
- Demonstrated experience leading the design and delivery of technically complex, user-facing systems with impact beyond a single feature or team.
- Deep software-engineering expertise across product interfaces, distributed systems, infrastructure, and developer tooling.
- Track record of setting technical direction, creating clarity in ambiguous problem spaces, and aligning multiple teams or disciplines.
- Ability to remain hands-on while increasing the effectiveness of other engineers through architecture, mentorship, and technical leadership.
- Deep understanding of modern software-development workflows and the interaction and system-design challenges of AI agents.
- Experience building or operating AI-powered products, including work involving nondeterminism, evaluation, latency, reliability, safety, and evolving model capabilities.
- Strong product judgment and ability to balance speed, product learning, technical quality, and long-term leverage.
- Ability to use user evidence, revise perspectives as technology and behavior evolve, and communicate clearly with technical and executive audiences.
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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.