AI Builder & Customer Success Engineer

Job Description

<h3>Job Description</h3><p>Job Description<p><p>We are looking for an <strong>AI Builder & Customer Success Enginee</strong>r who can bridge technical execution with client-facing support. This role blends AI systems building, workflow automation, and hands-on customer enablement. You will design and deploy AI-powered solutions, implement integrations, and guide customers through onboarding and long-term adoption.</p><p>If you are strong in automation tools, LLM-based workflows, and enjoy helping customers get real value from AI systems, this role will fit you well.</p><p></p><strong>Why You’ll Want to Join</strong><ul><li>You will be paid in <strong>USD</strong> (bi-monthly: every 15th and 30th)</li><li>Up to <strong>14 days of Paid Time Off</strong> annually (starting Day 1)</li><li>Observance of <strong>Holidays</strong> based on your location</li><li><strong>100% remote setup</strong> with flexibility to work where you perform best</li><li>Opportunity to work on meaningful, international AI projects</li><li>Fast-moving environment where you will contribute directly to product and customer outcomes</li></ul><p></p><strong>What You’ll Work On</strong><p><strong>AI Build and Development</strong></p><ul><li>Build, test, and refine AI-driven workflows using tools such as Make, Zapier, and custom automation logic</li><li>Develop and improve AI agents for voice and chat powered by LLMs like ChatGPT, Claude, and similar APIs</li><li>Connect AI workflows to CRMs, databases, billing systems, and internal tools</li><li>Work with APIs, webhooks, and JavaScript to create scalable logic and intelligent flow behavior</li><li>Troubleshoot issues across multi-system integrations and ensure stability and reliability</li></ul><p><strong>Customer Success Engineering</strong></p><ul><li>Lead customers through onboarding, configuration, and go-live processes</li><li>Support integration work such as data mapping, CRM setup, and AI agent configuration</li><li>Serve as the primary technical partner for customer usage, adoption, and retention</li><li>Translate customer problems into actionable AI workflows and platform enhancements</li><li>Produce clear documentation, diagrams, SOPs, and technical guides</li><li>Provide performance insights, workflow analytics, and recommendations for improvement</li></ul><p><strong>Process and System Improvements</strong></p><ul><li>Improve onboarding systems, templates, and internal handoff workflows</li><li>Build internal SOPs and scalable processes for customer implementation</li><li>Partner with product and engineering teams to deliver structured customer feedback and identify opportunities for improvement</li></ul><p></p><strong>What You Bring</strong><ul><li><strong>3 to 5+ years</strong> of experience in Customer Success, Technical Implementation, or Client Onboarding within SaaS or AI-related environments</li><li>Strong working knowledge of <strong>Make</strong>, <strong>Zapier</strong>, or other low-code automation platforms</li><li>Comfortable working with APIs, webhooks, and connecting multiple external systems</li><li>Hands-on experience building AI workflows, LLM integrations, or AI agents for chat or voice</li><li>Strong understanding of workflow logic, system architecture, and automation design</li><li>Proficient in JavaScript for custom steps inside automation tools</li><li>Excellent communication skills with a clear and structured approach</li><li>Strong project management capability, able to run multiple onboarding tracks in parallel</li><li>Proactive, resourceful, and confident navigating fast-paced and ambiguous environments</li></ul><p><strong>Nice to Have</strong></p><ul><li>Experience with AI voice tools such as Vapi, ElevenLabs, Twilio, Decagon, or Aircall</li><li>Background integrating HubSpot, Salesforce, Attio, or other CRM systems</li><li>Familiarity with Airtable, Google Sheets, Notion, or internal database automations</li><li>Ability to create training videos, process documentation, or workflow diagrams</li><li>Experience working in startup or early-stage environments</li></ul><p></p><strong>How to Apply</strong><p>Please include:</p><ol><li>Your <strong>updated resume</strong></li><li>A <strong>short 1 to 2 minute Loom video</strong> introducing yourself</li><li>A portfolio or playlist with at least two automation or AI workflow projects</li></ol><p></p><p>If you are excited about building AI systems, guiding customers, and shaping how businesses adopt intelligent automation, we would love to hear from you.</p><p></p><p><strong>Application Process Overview</strong></p><p>Our comprehensive selection process ensures we find the right fit for both you and our clients:</p><ol><li><strong>Initial Application</strong> - Submit your application and complete our prequalifying questions</li><li><strong>Video Introduction</strong> - Record an video introduction to showcase your communication skills and work experience</li><li><strong>Role-Specific Assessment</strong> - Complete a homework assignment tailored to the position (if applicable)</li><li><strong>Recruitment Interview</strong> - Initial screening with our talent team</li><li><strong>Executive Interview</strong> - Meet with senior leadership to discuss role alignment</li><li><strong>Client Interview</strong> - Final interview with the client team you&#39;d be supporting</li><li><strong>Background & Reference Check</strong> - Professional reference verification</li><li><strong>Job Offer</strong> - Successful candidates receive a formal offer to join the team</li></ol><p>Each stage is designed to evaluate your fit for the role while giving you insights into our company culture and expectations. We&#39;ll keep you informed throughout the process and provide feedback at each step.</p></p></p>