AI Revenue Growth & Lead Generation Expert at VSI Technologies | Torre

AI Revenue Growth & Lead Generation Expert

You'll architect and operate autonomous AI agents to drive high-quality lead generation and revenue growth.
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Full-time

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+ Bonuses (up to 10% of base compensation)

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Remote (for Portugal residents)
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Posted 25 days ago

Requirements and responsibilities


Build, deploy, and operate AI agents that generate qualified leads across six commercial tracks daily — Agentic AI, Automation, AI Apps, Apple Products, Marketplace, and Cloud Services Push scored, enriched, and briefed leads to the sales CRM every morning before the sales team starts their day Run and optimize outbound email and LinkedIn sequences across all B2B tracks — monitor reply rates daily and adjust within 48 hours of underperformance Manage paid advertising campaigns on Google Ads and LinkedIn with direct budget accountability — optimize daily, not weekly Manage marketplace paid traffic on Amazon, Shopify, and Walmart — monitor ACOS and conversion rates daily and act the same day on underperforming spend Score and qualify every lead against a defined framework before it reaches the sales team — below-threshold leads go into nurture, not to sales Respond to all inbound inquiries across all channels within 5 minutes during PST business hours using an automated agent you built and maintain Monitor intent signals using Bombora, G2, or equivalent to identify companies actively researching VSI's service categories and prioritize them for immediate outreach Build and maintain prospecting workflows in Apollo, Clay, ZoomInfo, Lusha, Hunter.io, Clearbit, or equivalent — automated list building, enrichment waterfalls, and CRM sync running without daily manual intervention Use Apollo sequences, Instantly, Smartlead, or equivalent to execute and monitor outbound email campaigns — manage sending domains, warm-up schedules, deliverability scores, and reply routing Use Clay to build enrichment waterfalls that pull from multiple data sources — Apollo, LinkedIn, Clearbit, Hunter.io, and company websites — with fallback logic when a source returns incomplete data Improve the agent stack continuously — at minimum one meaningful improvement per week to prospecting logic, qualification criteria, outreach personalization, or channel coverage Send a written daily update to the CEO every morning — lead volume by track, agent status, any failures and resolution Submit a written weekly report every Friday — leads by track, CPL by channel, lead-to-meeting rate, agent performance, and next week's plan REQUIREMENTS 5 to 7 years of commercial lead generation experience across B2B and e-commerce channels Minimum 3 years building and operating AI agents for prospecting, outreach, or lead qualification in a production environment — not side projects, not demos Minimum 4 years operating Apollo.io at an advanced level — ICP filter building, sequence management, A/B testing, analytics, and CRM integration. Apollo is your primary prospecting platform. You know every feature Minimum 3 years using Clay to build multi-source enrichment waterfalls — pulling from Apollo, LinkedIn, Clearbit, Hunter.io, Lusha, and company web data with conditional fallback logic. You have built a Clay table that runs automatically without daily manual input Minimum 2 years using ZoomInfo, Lusha, Clearbit, or equivalent as a secondary data source in an enrichment workflow — not as a standalone tool but as part of a layered data strategy Minimum 2 years using Instantly.ai, Smartlead, Lemlist, or equivalent for cold email infrastructure — managing sending domains, warming schedules, deliverability monitoring, and reply detection Minimum 2 years using LinkedIn Sales Navigator at an operator level — boolean search, lead lists, account lists, and integration with Apollo or Clay for enrichment Minimum 4 years managing paid advertising w — Google Ads, LinkedIn Lead Gen Forms, or Meta Ads — with documented CPL outcomes Minimum 3 years managing Amazon Sponsored Products, Shopify paid traffic, or Walmart Connect with documented ACOS or conversion rate results Minimum 4 years of applied LLM experience — minimum 2 of those years in outbound personalization, lead enrichment, or AI-powered sequence writing with measurable improvement in reply rate or meeting booking rate Minimum 2 years using intent data platforms — Bombora, G2 Buyer Intent, or equivalent — to identify in-market accounts and prioritize outbound sequences based on active buying signals Minimum 5 years owning lead scoring, qualification, and routing inside a CRM — HubSpot, Salesforce, Pipedrive, or equivalent — with accountability for pipeline quality delivered to the sales team Minimum 3 years generating leads for technology or AI services sold to CTOs, VPs of Engineering, IT Directors, or COOs — you have built separate sequences for technical buyers and operational buyers and tracked results independently Experience with n8n, Make.com, or Zapier for connecting prospecting tools, CRM, and outbound platforms into automated workflows that run without daily manual intervention Can state CPL by channel and lead-to-meeting rate from the last role without referencing any document — if these numbers are not immediately available, the accountability was not real Written English is precise, professional, and publication-quality — all lead briefs, outreach sequences, and weekly reports are your direct work product
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