OpenAI4 дня назад

Codex Deployment Engineer

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РЫНОК

13 634 ₽медиана по профессии

Tech Lead / Team Lead · 356 вакансий с указанной зарплатой

5 092половина предложений: 9 708–18 1041,2 млн

Работодатель не указал зарплату — сравните с рынком сами.

Полная занятостьУдалёнка

Обязанности

01Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows
02Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout
03Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process
04Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely
05Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex
06Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams
07Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows
08Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption

01Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers
02Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive
03Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process
04Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven
05Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact
06Ability to communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI
07Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers
08Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity