Jobs/San Francisco/Software Engineer, Payments
San Francisco, California, United States

Software Engineer, Payments

About the Team The Payments Team is working to make AGI financially sustainable by enabling OpenAI to accept payments across our existing products (ChatGPT, ChatGPT for Teams, API) and supporting future commercial experiences. We own the user-facing payments experience, direct integrations with payment service provider

Company
OpenAI
Compensation
$255K - $440K
Schedule
Full-Time
Role overview

What this role actually needs.

Software Engineer, Payments at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. About the Team The Payments Team is working to make AGI financially sustainable by enabling OpenAI to accept payments across our existing products (ChatGPT, ChatGPT for Teams, API) and supporting future commercial experiences. We own the user-facing payments experience, direct integrations with payment service provider

Responsibilities

Day-to-day expectations

A clear list of the work this role is designed to cover.

  • Architect, implement and scale core payment infrastructure.
  • Build robust and extensible financial primitives to enable rapid iteration and support hyper-growth.
  • Collaborate closely with internal and external stakeholders (e.g. Finance, GTM, Product, etc) to translate business requirements into clean, scalable technical systems.
  • Demonstrate high levels of ownership to get changes shipped in the highly-regulated domain of payments.
  • Create a seamless user experience for checkout around the world.
  • Improve the reliability, observability and auditability of money movement at OpenAI.
Requirements

What a strong candidate brings

This keeps the job page specific, readable, and easier to match.

  • Demonstrate high levels of ownership to get changes shipped in the highly-regulated domain of payments.
  • Create a seamless user experience for checkout around the world.
  • Improve the reliability, observability and auditability of money movement at OpenAI.
  • Have 5+ years of professional experience in software engineering, ideally with a focus on payments or financial systems at scale.
  • Are familiar with payment processors (e.g., Stripe, Adyen, Braintree) or have built similar internal financial systems, e.g. storing cardholder data, pricing, online commerce, etc.
  • Bring a strong product mindset and a desire to deeply understand product needs and design for long-term flexibility.
Benefits

Why people would want this job

Benefits help searchers understand whether the role is a real fit before they apply.

    Subscriber playbook

    Turn this listing into an application plan.

    This is the first pass at the premium UpJobz layer: a fast brief that helps serious applicants move with more clarity.

    Next moves

    • Tailor your resume around ai and llm instead of sending a generic application.
    • Use the first two bullets of your application to connect your background directly to software engineer, payments is a high-signal hybrid role in san francisco, and it is most realistic for united states residents.
    • Open the role quickly if it fits and bookmark three similar jobs before you leave the page.

    Interview themes

    Artificial IntelligenceHybridaillmresearchaws

    Watchouts

    • $255K - $440K is visible, so calibrate your application around the posted range.
    • Use united states residents as part of your positioning so the recruiter does not have to infer it.
    • Show concrete examples of succeeding in hybrid environments.
    SEO context

    Search intent signals for this listing

    Helpful keyword hooks for serious tech searchers and future programmatic job pages.

    Software Engineer, PaymentsOpenAISan FranciscoUSArtificial Intelligenceaillmresearchawssecurityuxobservabilityapipythoninfrastructure
    Next step

    Ready to move on this role?

    This page keeps the application flow simple while giving you enough context to decide quickly and move.