AI Builder & Customer Success Engineer at Hire Overseas

, , Canada -

Full Time

Start Date

Immediate

Expiry Date

27 Feb, 26

Salary

0.0

Posted On

29 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Workflows, Customer Success, Technical Implementation, Low-Code Platforms, APIs, Webhooks, JavaScript, AI Agents, Project Management, Communication Skills, System Design, Data Mapping, Troubleshooting, Documentation, SOPs, Feedback

Industry

Online Audio and Video Media

Description

Our client is seeking a hybrid professional—part AI systems builder, part customer-facing engineer—who can design, implement, and support AI-powered solutions while guiding customers through seamless onboarding and long-term success. If you excel at building AI workflows, configuring AI agents, and helping customers adopt and maximize AI tools, this role is an excellent fit. 🎁 Perks & Benefits 💵 Get paid in USD every 15th & 30th of the month 🌴 Up to 14 days paid time off annually, from day 1 📅 Observance of paid Philippine Regular Holidays (Flexibility of Holidays depending on place of residency) 🏡 100% remote – work from anywhere 🌍 Be part of meaningful, high-impact international projects 🚀 Work with a fast-moving team where your ideas matter 🧩 What You’ll Do AI Build & Development Build, test, and enhance AI-driven workflows using tools like Make, Zapier, and custom logic. Develop and improve AI agents (voice + chat) powered by LLMs such as ChatGPT, Claude, and other AI APIs. Connect AI systems to CRMs, databases, billing tools, and internal platforms. Work with APIs, webhooks, and JavaScript to build scalable, intelligent AI logic flows. Troubleshoot and resolve issues across interconnected AI systems to ensure stable performance. Customer Success Engineering Lead customers through onboarding, setup, and successful adoption of AI workflows and AI agents. Configure customer environments and support them through integrations, data mapping, and system setup. Serve as the main technical partner for customer usage, adoption, and retention. Translate client needs into high-impact AI solutions and system enhancements. Create clear documentation, diagrams, and handoff materials for customers and internal teams. Provide reporting and insights tied to AI performance and customer outcomes. Process & System Improvements Optimize onboarding processes, templates, and customer communication flows. Build internal SOPs and scalable systems supporting the end-to-end customer journey. Partner with product and engineering teams to deliver structured customer feedback. ✅ Who You Are 3–5+ years in Customer Success, Technical Implementation, or Client Onboarding, ideally within SaaS or AI-related products. Skilled with low-code/no-code platforms (Make, Zapier, etc.). Comfortable working with APIs, webhooks, and connecting multiple systems. Hands-on experience building AI workflows, LLM integrations, or AI agents (voice/chat). Strong understanding of logic structures, AI workflow architecture, and system design. Proficient in JavaScript for custom logic steps within workflow tools. Excellent communication skills—clear, structured, and customer-oriented. Strong project manager who can manage multiple onboarding tracks simultaneously. Proactive, resourceful, and comfortable operating in fast-moving and ambiguous environments. 💡 Nice-to-Have Experience with AI voice tools (Vapi, ElevenLabs, Twilio, Decagon, Aircall, etc.) Background integrating CRMs like HubSpot, Salesforce, or Attio Familiarity with Airtable, Google Sheets, Notion, or internal database automations Ability to produce training videos, customer playbooks, or system diagrams Startup or early-stage experience 📩 How to Apply Please submit: ✅ Updated resume ✅ 1–2 minute Loom video introducing yourself ✅ Portfolio or playlist showcasing at least 2 relevant automation or AI workflow projects

Responsibilities

The role involves building, testing, and enhancing AI-driven workflows while leading customers through onboarding and successful adoption of AI solutions. Additionally, it includes troubleshooting interconnected AI systems and optimizing customer communication flows.