Our client is a fast-growing SaaS company leveraging the power of AI automation , voice agents , and API integrations to solve complex business problems at scale. They're looking for a Customer Success Engineer who can support clients from onboarding to long-term success—while building and optimizing automation workflows using industry-standard tools.
This is not a passive support role—you’ll be hands-on in designing and implementing technical solutions, refining customer success processes, and collaborating across departments to deliver measurable outcomes. If you’ve got a customer-first mindset paired with technical implementation experience and a passion for AI-driven tools, this is the opportunity for you.
🎁 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
Manage customer onboarding and implementation across various AI-powered automation solutionsBuild and maintain automation workflows using tools likeMake.com and ZapierGuide customers through technical integrations , including APIs and webhooksCollaborate with product and engineering teams to deliver client feedback and feature needsServe as the main point of contact for customer success, adoption, and retentionHelp customers set up and optimize AI workflows , including voice agents , chat tools, and internal AI use casesMaintain accurate internal documentation and help build customer-facing playbooksContinuously improve onboarding processes , communication flows, and automation templatesSupport reporting and insights tied to automation performance and client usage✅ Who You Are
3–5+ years in Customer Success, Implementation, or Technical Onboarding , ideally with SaaS or API-based productsStrong experience with automation platforms like Make.com , Zapier , or similar toolsWorking knowledge of AI / LLM tools , especially ChatGPT , Claude , or other voice / chat AI agentsAbility to work with APIs, webhooks , and other technical integrations (no need to be a full developer)Excellent English communication (verbal + written)Ability to manage multiple customer projects, timelines, and requests simultaneouslyConfident building SOPs, internal systems, and scalable support processesProactive, self-managed, and capable of navigating ambiguity with confidence💡 Nice-to-Have
Hands-on experience deploying AI voice agents or AI-powered support toolsExperience integrating systems across CRMs, Airtable, Google Sheets , or internal databasesExposure to early-stage startup environments and fast-paced remote teamsAbility to create training videos , playbooks, or documentationExperience with no-code tools , automation stacks , and customer onboarding at scale🎯 This is a hybrid role combining client-facing success and technical automation implementation. We’re looking for someone who can deliver value quickly, think strategically, and move fast—with AI tools in your toolkit.
📩 Application Process Overview
Our comprehensive selection process ensures we find the right fit for both you and our clients :
Initial Application - Submit your application and complete our prequalifying questionsOne-way Video Interview - Record a brief one-way video introduction to showcase your communication skillsRole-Specific Assessment - Complete a homework assignment tailored to the position (if applicable)Recruitment Interview - Initial screening with our talent teamExecutive Interview - Meet with senior leadership to discuss role alignmentClient Interview - Final interview with the client team you'd be supportingJob Offer - Successful candidates receive a formal offer to join the teamEach stage is designed to evaluate your fit for the role while giving you insights into our company culture and expectations. We'll keep you informed throughout the process and provide feedback at each step.
