AI Automation Expert Needed | OpenAI, n8n & HubSpot Lead Qualification System
Presupuesto: $50.0
FIXED /
⭐ 5.00 (21)
United States
python, lead-generation, automation, crm, hubspot, data-scraping, data-mining, data-entry, email-marketing, marketing-automation
We are looking for an experienced AI Automation Engineer to build an intelligent lead qualification system that automatically analyzes incoming leads, scores them, and routes them to our sales team.
Our team currently reviews leads manually from website forms and Facebook Lead Ads. We want to automate the entire process using AI and workflow automation to improve efficiency and response times.
Project Scope
The system should:
- Capture leads from website forms and Facebook Lead Ads
- Analyze lead information using OpenAI
- Score leads based on predefined qualification criteria
- Categorize leads as Hot, Warm, or Cold
- Automatically create or update contacts in HubSpot CRM
- Notify sales representatives when qualified leads are received
- Trigger personalized email follow-up sequences
- Schedule appointments for qualified leads using Calendly
- Generate reports on lead quality, performance, and conversion rates
Preferred Tech Stack
- n8n
- OpenAI API
- HubSpot
- Google Sheets or Airtable
- Gmail or Outlook
- Calendly
Requirements
- Proven experience building AI-powered automation workflows
- Strong experience with n8n
- Experience integrating OpenAI API
- Solid understanding of APIs, webhooks, and third-party integrations
- Experience with CRM platforms, especially HubSpot
- Ability to build scalable, reliable, and well-documented workflows
Deliverables
- Complete end-to-end workflow implementation
- Workflow documentation
- Testing and deployment support
- Knowledge transfer or training session for our team
Budget
$50–$100
To Apply
Please include:
- Examples of similar AI automation projects you have completed
- Your proposed implementation approach
- Estimated timeline for delivery
- Your experience with OpenAI, n8n, HubSpot, and CRM automation
- Any suggestions that could improve this workflow or make it more scalable
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