Чётко очерченная senior-роль в ведущей AI-компании даёт широкую зону ответственности и заметное влияние, хотя работа охватывает много команд и сложные финансовые и инфраструктурные процессы.
?Много стейкхолдеров
Понятная ответственность
Сфера AI
Выше рынка
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Project Manager, Compute Transformation (AI/Compute Infrastructure): Leading cross-functional transformation initiatives that connect compute purchasing, operations, billing, accounting, and financial planning with an accent on process design, data quality, and integrated systems. Focus on building traceable source-of-truth processes, automating usage and billing data flows, and delivering reliable forecasting, reconciliation, and financial controls.
Location: San Francisco, CA, United States; hybrid schedule with 3 days per week in the office
Salary: $278K–$308K annually plus equity
Company
OpenAI is an AI research and deployment company developing general-purpose artificial intelligence and products designed for safe, broad human benefit.
What you will do
Own the integrated compute and infrastructure transformation plan, including workstreams, milestones, dependencies, resources, decisions, acceptance criteria, and production adoption.
Map workflows and design scalable processes spanning demand planning, contracting, delivery, operations, invoicing, payment, and month-end close.
Build source-of-truth systems connecting contractual commitments, delivery events, accepted capacity, usage, costs, and financial outputs.
Coordinate ingestion and normalization of cloud usage, billing, invoice, and delivery data, with ownership, completeness checks, and traceability.
Improve billing, accrual, allocation, reconciliation, pricing, SKU mapping, telemetry, and organizational-tag processes, including controlled manual adjustments.
Partner with Finance, Infrastructure, Accounting, Procurement, Legal, Data, and Engineering on requirements, integrations, testing, rollout, training, risk management, and operational handoff.
Requirements
8+ years of experience in project or program management, finance transformation, infrastructure operations, or enterprise systems delivery in complex, scaled environments.
Understanding of compute or infrastructure economics and finance processes including commitments, usage-based billing, procurement, accruals, cost allocation, and forecasting.
Experience partnering with software and data engineers to define requirements, resolve tradeoffs, test solutions, and deliver production changes without direct authority.
Strong process mindset with the ability to connect contractual terms, operational events, financial data, and control requirements into a practical future-state design.
Fluency in data dependencies, system integrations, reconciliation, and data quality, with comfort working with analytical teams and tools such as SQL, Databricks, and BI platforms.
Experience improving workflows through automation or AI with human review, controls, exception handling, and operational ownership.
Clear, concise written and verbal communication, including executive updates covering decisions, risks, business impact, and required actions.
Experience driving complex initiatives through ambiguity and organizational change, with evidence of hands-on delivery and adoption.
Nice to have
Cloud FinOps, infrastructure finance, or capacity-planning experience.
Culture & Benefits
Full-time employment with an equity offer.
Work as an embedded partner across Finance, Infrastructure, Data, Engineering, Accounting, Operations, Procurement, and Legal.
Equal opportunity employment with reasonable accommodations available for applicants with disabilities.
Background checks are administered in accordance with applicable law, including applicable fair-chance requirements for US-based candidates.
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →