Customer Success Engineer

WindowEdge AI

United States

Remote

USD 120,000 - 180,000

Full time

12 days ago
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Benefits offered by this job

Fully remote
MacBook Pro provided
Equity

Job summary

WindowEdge AI is seeking a technically driven Customer Onboarding Lead to guide customers through onboarding and implementation of a diverse AI-driven platform. You will troubleshoot production systems, build integrations, and create scalable onboarding processes for voice, SMS, CRM, payments, and more.

The role emphasizes strong coding ability, API/workflow configuration, and the capacity to communicate complex issues clearly to non-technical customers.

Qualifications

  • Hands-on coding in Python or TypeScript for webhook handlers, integrations, and monitoring tools.
  • Experience with APIs, webhooks, third-party configurations, and production systems.
  • Strong ability to explain incidents and tradeoffs to non-technical customers.

Responsibilities

  • Lead customer onboarding and implementation across voice, SMS, CRM, payments, web, and mobile workflows.
  • Configure and debug APIs, webhooks, third-party systems, and customer-specific integrations.
  • Explain technical issues clearly to non-technical operators and guide customers toward practical outcomes.

Skills

Python
TypeScript
APIs & webhooks
Production systems
Communication
Security

Job description

Job details

Lead Experience

Not specified Employment

About this role
Role overview

Help customers successfully adopt and operate a platform that combines AI sales agents, voice and messaging workflows, CRM data, payments, project management, and homeowner communication. This is a technical customer-facing role: you will troubleshoot real production systems, build integrations and internal tools, and turn recurring lessons into scalable onboarding and support processes.

Responsibilities
  • Lead customer onboarding and implementation across voice, SMS, CRM, payments, web, and mobile-related workflows.
  • Configure and debug APIs, webhooks, third-party systems, messaging automations, and customer-specific integrations.
  • Explain technical issues clearly to non-technical operators and guide customers toward practical business outcomes.
  • Build monitoring scripts, internal tooling, documentation, integration patterns, and repeatable playbooks that increase the team's leverage.
  • Investigate production incidents, protect customer data, and participate in a lightweight shared on-call rotation for the always-available platform.
  • Feed customer findings back into product decisions and help define what excellent onboarding, escalation, and retention should look like.
Requirements
  • Genuine coding ability in Python, TypeScript, or an equivalent language, including writing webhook handlers, debugging integrations, and creating monitoring tools.
  • Experience working with APIs, webhooks, third-party configuration, and production or customer-facing technical systems.
  • Hands-on experience with LLMs or AI sales agents in a professional setting or a serious project with demonstrable output.
  • Strong communication skills, especially the ability to explain incidents and technical tradeoffs to non-technical customers.
  • Comfort operating with limited structure, creating missing processes, and working from outcomes rather than fully specified tickets.
  • Good security instincts around credentials, access control, customer information, and payment data.
Nice to have
  • Experience with voice AI and speech-to-text platforms such as VAPI, Twilio, ElevenLabs, or Deepgram.
  • Familiarity with iOS behavior, push notifications, mobile API interactions, payment platforms, or embedded payment experiences.
  • Background in home services, trades, home improvement, vertical SaaS, SMS automation, or supplier and manufacturer integrations.
  • Experience using Claude Code, Codex, Gemini, or similar tools to deliver an end-to-end feature, and experience building automation that scales personal impact.
Benefits and work setup
  • Fully remote, with preference for Pacific time while remaining open across U.S. time zones.
  • Flexible working hours focused on outcomes, with core overlap from 10 a.m. to 2 p.m. Pacific.
  • Competitive base salary, early-stage equity with a four-year vest and one-year cliff, and compensation shared early.
  • MacBook Pro and other equipment needed to work effectively.
  • Direct access to technical and product decision-makers, with meaningful ownership of the function's onboarding, monitoring, and escalation systems.
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