Description
Summary ## AI Automation for Lead Generation We are looking for an AI automation specialist to design and implement an automated lead-generation system that helps us consistently identify, qualify, enrich, and engage potential clients. The goal is not simply to generate large lead lists. We want to build a **repeatable, scalable prospecting engine that produces relevant, high-quality sales opportunities while reducing the manual work required from our team.** ### What We Need Built The system should help automate the following workflow: 1. **Ideal Customer Identification** * Translate our Ideal Customer Profile (ICP) into usable prospecting criteria. * Identify target companies based on factors such as industry, company size, location, technology, hiring activity, funding, growth indicators, or other relevant buying signals. 2. **Lead Sourcing** * Automatically identify companies and decision-makers that match our target profiles. * Pull leads from appropriate databases, directories, LinkedIn-related tools, public sources, APIs, or other compliant data sources. 3. **Lead Enrichment** * Enrich company and contact records with information such as: * Company size and industry * Website * Decision-maker name and title * Email/contact information * LinkedIn profile * Technology stack * Recent company activity * Relevant buying signals 4. **AI-Based Qualification and Scoring** * Use AI and predefined business rules to evaluate leads. * Score or categorize prospects based on fit, relevance, intent, and likelihood of needing our services. * Filter out poor-fit companies before they enter the sales pipeline. 5. **Prospect Research** * Automatically research qualified companies and identify useful context for outreach. * Examples may include recent product launches, hiring activity, funding, technology initiatives, company growth, digital transformation projects, or potential development needs. 6. **Personalized Outreach Preparation** * Use AI to generate relevant personalization for each prospect based on the research collected. * Produce messaging angles, opening lines, pain-point hypotheses, or draft outbound messages that feel specific to the company rather than generic AI-generated outreach. 7. **CRM / Sales Pipeline Integration** * Automatically push qualified leads and relevant research into our CRM or lead-management system. * Prevent duplicates and maintain clean, structured lead data. * Track where leads originated and how they were qualified. 8. **Automation and Workflow Management** * Connect the required tools using platforms such as n8n, Make, Zapier, APIs, AI models, databases, or similar technologies. * Build workflows that can run reliably with minimal manual intervention. * Include error handling, monitoring, and documentation so the system can be maintained internally. 9. **Reporting and Optimization** * Provide visibility into: * Leads generated * Leads qualified * Qualification rate * Outreach volume * Response rates * Meetings/opportunities generated * Lead sources and channels producing the best results * Make it possible to continuously improve targeting, scoring, and messaging based on actual sales results. ## Expected Outcome At the end of the project, we should have a functioning AI-assisted lead-generation system that can: **Find Prospects → Enrich Data → Research Companies → Score Leads → Personalize Outreach → Route Qualified Leads → Track Results** The system should prioritize **lead quality and sales opportunities over raw lead volume.** ## Ideal Candidate We are looking for someone who combines automation expertise with an understanding of B2B sales and prospecting. Relevant experience may include: * AI workflow automation * n8n, Make, Zapier, or similar tools * OpenAI/LLM API integration * Lead enrichment and prospecting APIs * CRM integrations * LinkedIn/B2B prospecting workflows * Email verification and enrichment * Web scraping and structured data extraction * AI agents and research workflows * Lead scoring systems * Automated personalized outbound Experience building **B2B lead-generation or sales automation systems** is strongly preferred. ## How We Will Measure Success Success will be measured by business outcomes rather than simply whether the automation runs. Key measures include: * Number of qualified leads generated * Accuracy of lead qualification * Reduction in manual prospecting time * Percentage of leads accepted by the sales team * Positive response rate * Meetings booked * Sales opportunities created * Cost per qualified lead/opportunity