AI Deployment Engineer, Messenger Integrations

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.