Field Deployment Engineer (FDE)

An FDE role delivering AI-powered product solutions to clients and driving adoption - owning end-to-end delivery from POC and pilot to AI/data solution design, integration, go-live, and enablement, while bridging clients with R&D and product teams to turn field learnings into iteration. Combining technical, data, and customer-facing capabilities, the FDE brings the AI product to life at the client site and converts product capabilities into measurable success., 1. Onboarding - Provide implementation guidance, training, and Q&A support via IM, email, and video to ensure successful customer onboarding and adoption.

1. POC - Lead client POC and pilot engagements - objective definition, execution, evaluation, sign-off - owning deployment outcomes and proving measurable value before full rollout.
2. Delivery - Own end-to-end AI product delivery - scoping, data prep, model/feature integration, configuration, UAT, go-live - wiring AI into clients’ workflows.
3. Solutioning - Understand clients’ business scenarios and data/AI requirements; deliver tailored data-collection, metric-design, and model-application solutions.
4. Advocacy - Promote a data- and AI-driven mindset; share best practices in analytics and applied AI, especially for gaming, to back client decisions with data and models.
5. Analysis - Independently run complex analytical and AI delivery projects; deliver deep-dive diagnostics and insights; feed client findings back into product iteration.
6. Collaboration - Work cross-functionally with R&D and product; translate client needs into requirements; support API/SDK integration and troubleshoot technical issues.

1. Experience - 3+ years in data analysis, AI product delivery, or a technical customer-facing role; gaming/internet/SaaS preferred.
2. Customer-Facing - Comfortable engaging technical and business stakeholders directly - onboarding, training, and managing expectations through to adoption.
3. Engineering - Proficient in SQL for data extraction plus solid Python (or equivalent) for scripting, data processing, and API/SDK integration.
4. Proven AI/LLM experience: hands-on building with LLMs, vector databases, and agent frameworks; track record from prototype to production.
5. Troubleshooting - Strong technical problem-solving; independently diagnose and resolve integration, data-pipeline, and configuration issues in a fast-paced setting.
6. Education - Bachelor’s or higher in Mathematics, Statistics, Computer Science, Engineering, or a related field.
7. CS-Background - Experience in Customer Success, Solution Engineer, or technical-support roles - especially deploying data/AI products - is a strong plus.
8. English fluent; Mandarin fluent

• Base salary: $140,000 - $180,000
• Benefits: Medical / dental / vision , 401(k), PTO
• High autonomy, minimal bureaucracy, and direct influence on roadmap and US growth.