OpenAI10 дней назад

Manager, Applied AI Engineering (Codex)

Зарплата не указана

РЫНОК

26 250 ₽медиана по профессии

AI Researcher · 36 вакансий с указанной зарплатой

5 600половина предложений: 16 785–53 975118 000

Работодатель не указал зарплату — сравните с рынком сами.

Полная занятостьУдалёнка

Обязанности

01Lead, hire, and mentor a high-performing team of Applied AI Engineers supporting Codex customers across strategic accounts
02Own the operating model and technical engagement strategy for Codex Applied AI Engineering, helping customers move from initial exploration to meaningful, scaled adoption
03Guide teams in designing and implementing AI-enhanced development workflows, agentic systems, automations, evaluations, and scalable application architectures
04Act as the senior technical escalation point and thought partner for complex customer implementations and engineering challenges
05Partner with Sales, Product, Research, and Engineering teams to align customer outcomes with product direction and roadmap priorities
06Establish repeatable technical patterns, playbooks, reference architectures, and best practices that enable broader adoption of AI-powered software development
07Coach Applied AI Engineers to operate as trusted technical partners to engineering leaders, executives, and highly technical customer teams
08Synthesize insights from customer engagements and translate them into actionable feedback for Product, Research, and Engineering
09Develop a deep understanding of how customers are using Codex, where they encounter friction, and where new technical approaches or product capabilities could unlock greater impact
10Champion safe, reliable, and effective adoption of AI-powered development workflows across industries

01Have 8+ years of experience in deeply technical, customer-facing roles such as applied engineering, solutions architecture, deployment engineering, technical consulting, or similar roles
02Have 2+ years of experience leading technical teams, including hiring, mentoring, and developing engineers
03Have experience building or deploying generative AI, developer platforms, agentic systems, or cloud-based software solutions in production environments
04Possess strong hands-on software engineering experience and fluency with programming languages such as Python or JavaScript
05Understand modern software development lifecycles and have strong intuition for how AI and coding agents can change how software is designed, built, tested, and maintained
06Can work directly with customer engineering teams to understand ambiguous problems, develop technical approaches, and turn ideas into working solutions
07Are an effective communicator who can translate complex technical and business topics for both engineering teams and executive stakeholders
08Thrive in ambiguous, fast-moving environments and enjoy building new operating models, technical patterns, and teams from first principles
09Demonstrate strong ownership, humility, technical judgment, and a commitment to helping both customers and teammates succeed
10Are personally committed to fostering the safe and beneficial development of AI