Field Deployment Engineer (FDE)

ThinkingAI

$140K — $180K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of experience in data analysis, AI product delivery, or a technical customer-facing role; gaming/internet/SaaS preferred.
  • Proficient in SQL for data extraction and solid Python skills for scripting and data processing.
  • Hands-on experience with AI/LLMs, including prototype-to-production building with vector databases and agent frameworks.
  • Strong troubleshooting skills to resolve integration and configuration issues in a dynamic environment.
  • Bachelor's or higher in Mathematics, Statistics, Computer Science, Engineering, or related field.
  • Customer-facing experience engaging both technical and business stakeholders throughout the product lifecycle.
  • Fluent in English and Mandarin.

Responsibilities

  • Provide implementation guidance and training for successful customer onboarding and adoption.
  • Lead client POC and pilot engagements, ensuring measurable value before full rollout.
  • Own the complete AI product delivery from scoping to go-live, integrating AI into client workflows.
  • Deliver tailored data collection and model application solutions based on clients' specific business needs.
  • Promote a data-driven mindset and share best practices in analytics and applied AI, particularly in gaming.
  • Run complex analytical projects independently, delivering diagnostics and insights while feeding back into product development.
  • Collaborate across teams to translate client needs into technical requirements and troubleshoot integration issues.

Benefits

  • Medical, dental, and vision coverage.
  • 401(k) retirement plan.
  • Paid time off (PTO).
  • High autonomy and minimal bureaucracy.
  • Direct influence on product roadmap and growth in the U.S. market.
Full Job Description
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
  1. Onboarding - Provide implementation guidance, training, and Q&A support via IM, email, and video to ensure successful customer onboarding and adoption.
  2. POC - Lead client POC and pilot engagements - objective definition, execution, evaluation, sign-off - owning deployment outcomes and proving measurable value before full rollout.
  3. Delivery - Own end-to-end AI product delivery - scoping, data prep, model/feature integration, configuration, UAT, go-live - wiring AI into clients' workflows.
  4. Solutioning - Understand clients' business scenarios and data/AI requirements; deliver tailored data-collection, metric-design, and model-application solutions.
  5. 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.
  6. Analysis - Independently run complex analytical and AI delivery projects; deliver deep-dive diagnostics and insights; feed client findings back into product iteration.
  7. Collaboration - Work cross-functionally with R&D and product; translate client needs into requirements; support API/SDK integration and troubleshoot technical issues.


Requirements
  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


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.

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