OpenAI20 дней назад

Технический программный менеджер, Cloud AI Partnerships

Зарплата не указана

РЫНОК

26 250 ₽медиана по профессии

AI Researcher · 36 вакансий с указанной зарплатой

5 600половина предложений: 16 785–65 900143 300

Работодатель не указал зарплату — сравните с рынком сами.

Полная занятостьSan Francisco

Обязанности

01Lead end-to-end execution for major cloud partner programs spanning model deployment, product integration, operational readiness, launch follow-through, and partner-platform adoption
02Own integrated technical roadmaps across OpenAI and partner teams, including milestones, dependencies, risks, resourcing needs, and the sequencing required to land joint commitments
03Own launch readiness across cloud partner platforms, including readiness checklists, blocker tracking, joint go/no-go reviews, and post-launch stability follow-through
04Act as a primary technical interface to partner engineering organizations, helping own the shared roadmap and day-to-day coordination on deployment, capacity, incidents, and open engineering issues
05Drive alignment across engineering, infrastructure, product, safety, security, legal, finance, and go-to-market teams so joint deliverables are well-scoped, sequenced, and executable
06Provide clear, transparent reporting on program status, issues, risks, and decisions required for senior leaders and stakeholders
07Convert open issues into prioritized plans that both OpenAI and partner teams can commit to, with clear owners, workbacks, and closure paths
08Help build repeatable and efficient development and launch pipelines for OpenAI models on partner platforms

01Bring substantial technical program management leadership across infrastructure, platform, or large-scale engineering work, with a track record of owning complex programs end to end
02Have led complex partner-facing programs where success required tight coordination across company boundaries, clear operating rhythms, and sustained follow-through
03Understand cloud architectures, AI/ML deployment, model serving, and the practical integration challenges of bringing advanced AI systems to production
04Direct experience with major cloud or AI platforms, including how models are integrated, launched, and onboarded for customers
05Familiarity with how foundation models are integrated, packaged, launched, and operated through partner platforms or marketplaces
06Experience with inference systems, model serving, accelerator-backed infrastructure, or distributed systems
07Can balance strategic priorities with rapid, high-quality execution in fast-moving environments
08Communicate crisply with engineers, executives, and external partners, and can create alignment without direct authority
09Thrive in ambiguous, scaling environments and can bring order to complex cross-functional work without losing pace
10Exercise strong judgment on risk, sequencing, and the difference between a target date and a credible launch plan
11Care about OpenAI's mission and about expanding responsible access to advanced AI systems