# AI Deployment Engineer, Messenger Integrations

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** Solutions Architecture
**Salary:** $197k – $280k/yr
**Experience:** 5+ years
**Skills:** API Integrations, Debugging, OAuth, webviews, mobile development, Distributed Systems, Python, JavaScript, LLMs
**Posted:** 2026-07-17

> Hands-on, partner-facing engineer building and deepening ChatGPT integrations with third-party messaging platforms. Design experiences, improve UX/retention/reliability, debug issues, translate requirements, and drive launches while writing code daily and collaborating across teams and cultures.

## Job Description

## Responsibilities
- Partner with messenger app product and engineering teams to design ChatGPT-powered experiences that fit naturally into chat, group, contact, and app-tab surfaces.
- Deepen existing partner integrations, with an initial focus on improving user experience, retention, reliability, and feature set (including image generation).
- Build prototypes, integration guides, reference flows, and launch checklists that help partners move from concept to production.
- Debug API, latency, authentication, quota, quality, and user-experience issues across partner and OpenAI systems.
- Translate privacy, trust, login, and data-handling requirements into clear technical constraints and implementation plans.
- Work with product, engineering, design, partnerships, legal, policy, and support teams to make partner launches reliable, scalable, and maintainable.
- Capture repeatable patterns from messenger integrations and turn them into reusable playbooks for future ecosystem partners.
- Travel periodically to meet with international partners during key integration, launch, and post-launch milestones.

## Requirements
- Strong software engineering background and enjoy writing code daily.
- Built or deployed API integrations with external partners; can reason across client, backend, auth, privacy, reliability, and UX constraints.
- Strong product sense and design judgment, especially for consumer-facing experiences.
- Ability to make ambiguous product ideas concrete without over-specifying partner-specific internals.
- Clear communication with engineers, product leaders, executives, and business stakeholders.
- Comfortable debugging distributed systems and narrowing broad performance or reliability issues into actionable hypotheses.
- Care deeply about user trust, privacy, and product quality, especially in communication surfaces where context is sensitive.
- Ability to balance urgency with judgment and keep launches moving without skipping important details.
- Based in San Francisco office; hybrid work model of 3 days in the office per week.

## Nice-to-Haves
- Experience working on B2C consumer, social, or messaging products.
- Experience working with international partners or in cross-cultural product and engineering environments.
- Familiarity with OAuth/login flows, API rate limits, webviews, mobile release cycles, and partner launch operations.
- Experience with AI product launches, developer platforms, or API-first products.
- Prior customer-facing or partner-facing engineering experience, especially in a startup or smaller-company environment.
- Ability to collaborate across APAC time zones and travel internationally roughly quarterly.

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