We’re looking for an Forward Deployed Engineer who can work directly with customers to design, implement, and optimize AI-powered automation workflows. You’ll sit at the intersection of engineering, customer success, and product — translating problems into working systems using tools like Make, Zapier, APIs, and AI agents.
This role is perfect for someone who loves building, problem-solving, and working closely with users. You’re hands-on, technical enough to debug issues, and comfortable owning projects from kickoff through deployment.
Why You’ll Want to Join
- You will be paid in USD (bi-monthly : every 15th and 30th)
- Up to 14 days of Paid Time Off annually (starting Day 1)
- Observance of Holidays (based on your location)
- 100% remote setup so you can work wherever you feel most productive
- Work with a fast-moving SaaS company solving real operational pain points
- Direct impact on how clients adopt and scale AI systems
- Collaborate with a product-focused, engineering-first team
What You’ll Work On
Client Implementation and Deployment
Lead onboarding and technical setup for new customersTranslate client workflows into automation architectures using Make, Zapier, APIs, and AI toolsConfigure, test, and deploy integrations, voice agents, and automationsTroubleshoot errors and create clean, stable systems that scaleTechnical Problem Solving
Use APIs, webhooks, and structured data to connect platformsWork with engineering to debug deeper technical issuesRun tests, track logs, and improve system reliabilityBuild internal tools or templates that speed up future deploymentsCustomer Collaboration
Act as the primary technical partner for assigned customersMap business problems to automation opportunitiesTrain customers on new workflows and validate that solutions meet requirementsProvide clear documentation, walkthroughs, and support when neededProcess and Product Improvement
Identify recurring customer needs and recommend product enhancementsHelp build SOPs, runbooks, and implementation frameworksImprove the deployment pipeline to reduce friction and increase speedGather structured feedback and share insights with product and engineeringWho You Are
3 to 5+ years in a technical role such as implementation, solutions engineering, automation, or customer success engineeringExperienced with Make.com , Zapier, or other workflow automation platformsComfortable working with APIs, JSON, webhooks, and system integrationsFamiliar with AI tools such as ChatGPT, Claude, or voice agentsStrong communicator who can explain technical concepts clearlyHighly organized and able to manage multiple deployments at onceResourceful, proactive, and confident in environments with little hand-holdingNice to Have
Experience in SaaS, automation, or AI startupsBackground in customer success or onboarding for technical productsAbility to create documentation, training materials, or short demo videosExperience building no-code or low-code internal toolsFamiliarity with CRMs, Airtable, or internal database systemsHow to Apply
Please submit :
Your updated resumeA short 1–2 minute Loom video walking through an automation, integration, or workflow you’ve builtOnly complete applications with a Loom video will move forward.
If you’re someone who likes owning problems end-to-end, building real systems, and working directly with customers, this role puts you right at the center of product, engineering, and execution.
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 questionsVideo Introduction - Record an video introduction to showcase your communication skills and work experienceRole-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 supportingBackground & Reference Check - Professional reference verificationJob 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.
