AI Solutions Manager / Technical Sales (E-commerce)

กรุงเทพฯ
งานประจำ
ฟูลไทม์

13 วันที่ผ่านมา

About the RoleWe are entering a massive wave of demand for Agentic Copilot Platforms (ACP) and Unified Copilot Platforms (UCP) in the regional e-commerce sector. We need a hybrid technical sales professional who can own this service. You will act as the technical bridge between our AI product offerings and our e-commerce clients.Your primary mission is to take the burden of "vibe coding" and prototyping off the executive team. You will build rapid, high-impact Proof of Concepts (PoCs)-like RAG pipelines, custom chatbots, and autonomous agents-and then present these solutions to non-technical stakeholders to close high-value custom engagements.Key Responsibilities

Rapid Prototyping & Demos: Build quick, functional PoCs (chatbots, AI agents, RAG pipelines) tailored to specific e-commerce client use cases to drive the sales process.
Technical Pre-Sales: Act as the technical expert in client meetings. Translate complex AI capabilities and e-commerce data flows into clear, compelling business value for non-technical stakeholders (e.g., Marketing Directors, E-commerce VPs).
ACP/UCP Deployment: Own the deployment and implementation strategy for quick-turnaround Agentic/Unified Copilot solutions for our regional clients.
API & System Integration: Design workflows connecting top-tier LLMs with client e-commerce data streams (e.g., Shopify, CRMs, product catalogs).
Client Advisory: Advise regulated and FMCG e-commerce brands on how to leverage AI safely and effectively within their existing cloud and data architectures.

Technical Requirements

Programming & APIs: Strong proficiency in Python. Hands-on experience integrating major LLM APIs (OpenAI, Anthropic, Google Gemini, etc.).
AI Frameworks: Working familiarity with LLM orchestration frameworks like LangChain or LlamaIndex.
E-commerce Data Fluency: Understanding of the e-commerce tech stack (Shopify, CDPs, analytics) and how to structure product/customer data for AI consumption.
Cloud Basics: Exposure to foundational cloud services across AWS, GCP, or Azure (knowing how to deploy and host a basic PoC).

Business & Soft Skill Requirements

Experience: 2-5 years of experience in technical sales, solutions engineering, sales engineering, or a client-facing data science role.
Communication: Exceptional ability to present highly technical concepts to non-technical audiences.
Language: High proficiency in English (both written and spoken) is strictly required for client-facing work and technical documentation, alongside fluent Thai.
Hustle: A builder's mindset. You are comfortable moving fast, experimenting with new AI models as they drop, and doing whatever it takes to get a demo working before a big pitch.

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