Field Deployment Engineer (FDE)

Position Summary

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.

Responsibilities

Onboarding — Provide implementation guidance, training, and Q&A support via IM, email, and video to ensure successful customer onboarding and adoption. POC — Lead client POC and pilot engagements — objective definition, execution, evaluation, sign-off — owning deployment outcomes and proving measurable value before full rollout.

Delivery — Own end-to-end AI product delivery — scoping, data prep, model/feature integration, configuration, UAT, go-live — wiring AI into clients' workflows. Solutioning — Understand clients' business scenarios and data/AI requirements; deliver tailored data-collection, metric-design, and model-application solutions.

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. Analysis — Independently run complex analytical and AI delivery projects; deliver deep-dive diagnostics and insights; feed client findings back into product iteration.

Collaboration — Work cross-functionally with R&D and product; translate client needs into requirements; support API/SDK integration and troubleshoot technical issues.

Requirements

Experience — 3+ years in data analysis, AI product delivery, or a technical customer-facing role; gaming/internet/SaaS preferred. Customer-Facing — Comfortable engaging technical and business stakeholders directly — onboarding, training, and managing expectations through to adoption. Engineering — Proficient in SQL for data extraction plus solid Python (or equivalent) for scripting, data processing, and API/SDK integration.

Proven AI/LLM experience: hands‑on building with LLMs, vector databases, and agent frameworks; track record from prototype to production. Troubleshooting — Strong technical problem-solving; independently diagnose and resolve integration, data-pipeline, and configuration issues in a fast-paced setting.

Education

— Bachelor's or higher in Mathematics, Statistics, Computer Science, Engineering, or a related field. CS-Background — Experience in Customer Success, Solution Engineer, or technical-support roles — especially deploying data/AI products — is a strong plus. English fluent; Mandarin fluent What we offer 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.