Назад
5 дней назад

Senior Software Engineer (AI Monetization)

266 000 - 445 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Software Engineer (AI Monetization): Building shared pricing, packaging, entitlement, usage, subscription, and billing capabilities across OpenAI products with an accent on full-stack product development, backend architecture, and distributed systems. Focus on designing consistent access and subscription state through migrations, asynchronous updates, partial failures, staged rollouts, and reusable launch infrastructure.

Location: Hybrid in San Francisco or New York City, United States. Relocation support is available for eligible employees.

Salary: $266,000–$445,000 annual base pay, plus equity, performance-related bonuses for eligible employees, and benefits.

Company

OpenAI is an AI research and deployment company developing and safely deploying general-purpose artificial intelligence products.

What you will do

  • Define and build shared pricing and packaging capabilities, including plan configuration, eligibility, entitlements, and usage allowances.
  • Create plan and usage experiences across the stack, connecting interfaces with product APIs and backend services.
  • Prototype and experiment on commercial ideas with Product, Finance, and Data Science, using findings to guide iterations.
  • Design Financial Engineering integrations that preserve correct access and subscription state through plan changes, migrations, asynchronous updates, and partial failures.
  • Build reusable components and configuration tools that reduce custom engineering and dependencies for future launches.
  • Own production quality through migration planning, staged rollouts, testing, monitoring, recovery paths, technical roadmap decisions, and engineering mentorship.

Requirements

  • Senior or Staff+ engineering experience with architectural direction and delivery of significant multi-team projects while remaining an active code contributor.
  • Strong backend or distributed-systems depth and the ability to work across APIs and interfaces that turn systems into useful products.
  • Ability to reason about data models, lifecycle transitions, consistency, concurrency, failures, and repeated operations.
  • Experience taking loosely defined customer or business problems through discovery, implementation, and production operation.
  • Product intuition, experimentation, and analytical thinking focused on customer understanding and value.
  • Ability to establish new capabilities, choose initial designs, ship useful products, and improve them as requirements become clearer.
  • Ability to build cross-disciplinary alignment, explain technical choices clearly, and help teammates take on greater responsibility.

Nice to have

  • Experience with pricing, subscriptions, entitlements, usage-based products, billing integrations, or growth platforms.
  • Experience building demanding product or platform systems that supports learning the monetization domain.

Culture & Benefits

  • Hybrid work in San Francisco or New York City.
  • Medical, dental, and vision insurance with employer contributions to Health Savings Accounts, plus FSA and dependent-care accounts.
  • 401(k) plan with employer match, paid parental, medical, caregiver, and sick or safe leave, flexible PTO for exempt employees, and paid holidays.
  • Mental health and wellness support, life and disability coverage, and an annual learning and development stipend.
  • Daily office meals, eligible meal-delivery credits, commuter benefits, relocation support for eligible employees, and additional taxable fringe benefits.
  • Equal opportunity employment, reasonable disability accommodations, and legally compliant background-check practices.

Hiring process

  • Benefits and additional role details are provided during the hiring process.
  • Background checks are administered in accordance with applicable law for US-based candidates.

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