OpenAI
Mid
Partner-facing deployment engineer deepening ChatGPT integrations inside third-party messaging apps
OpenAI's Ecosystem team is hiring a hands-on engineer to build and scale ChatGPT integrations with messaging platform partners, working daily in code while also owning the partner relationship end to end — from prototyping through debugging to executive communication. Success means translating ambiguous partner needs into concrete, production-ready features while protecting user trust and privacy.
走进这场面试
免费 · 一场按这个岗位校准的真语音模拟
这场面试考什么
- Debugging distributed systems across partner + platform boundaries (latency, auth, quota, reliability)
- Translating ambiguous partner asks into concrete technical specs without over-specifying
- Privacy/trust/data-handling judgment in consumer messaging surfaces
- Cross-functional and cross-cultural partner communication (technical to executive)
- API integration design (OAuth/login flows, rate limits, webviews, mobile release cycles)
- Turning one-off integration work into reusable playbooks
常见提问方向
Walk through debugging a partner-reported latency/auth/quality issue end to end
Describe designing a ChatGPT-powered experience for a chat/group/contact surface from an ambiguous partner request
How would you translate a privacy or data-handling requirement into a concrete technical constraint for a partner?
Tell me about a time you balanced launch urgency against getting a sensitive detail right
How do you communicate the same tradeoff to an engineer vs. a business stakeholder?
How would you generalize a single partner integration into a playbook for future partners?
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