Head of Revenue Marketing

About Net at Work

Founded in 1996, Net at Work is one of North America’s largest technology advisors and solution providers for small and mid-size businesses. Our award-winning consultancy offers a rich portfolio of next-generation technology, industry expertise, implementation and managed services to help organizations derive value from the transformative benefits of technology. 

Through the integration of ERP, HCM and/or CRM solutions, Net at Work  offers unique, industry-specific  solutions and operation platforms that enable companies to compete more effectively in today’s digital economy. For more information, visit www.netatwork.com. 

About this Position

The Head of Revenue Marketing will be focused on driving demand generation and responsible for transforming go-to-market strategy into a scalable, predictable, and AI-powered pipeline engine. This leader owns the processes, programs, data, and operating cadence that convert market engagement into measurable revenue outcomes.

Operating at the intersection of Marketing, Sales, and Revenue Operations, this role ensures full-funnel accountability while leveraging AI, automation, and agentic workflows to drive efficiency, precision targeting, and continuous optimization. The position partners closely with Sales Leadership and RevOps to align pipeline targets, enforce process discipline, and deliver consistent, forecastable growth.

This role is tasked not only with executing demand generation but with modernizing the revenue engine through intelligent systems and autonomous process improvement.

This is a remote position and requires up to 25% travel within the U.S.

Job Responsibilities

1. Demand Generation & AI-Driven Pipeline Creation

• Manage multi-channel demand generation strategies across digital, events, ABM, partner, and outbound channels
• Leverage AI-driven audience segmentation, intent data, and predictive modeling to improve targeting and conversion
• Orchestrate full-funnel campaigns with product marketing managers using automation and agentic workflows to increase speed, scale, and personalization
• Work closely with the BDR management team to optimize outreach strategies and use AI-assisted insights to drive pipeline progression and efficiency improvements
• Track and report on channel mix success using performance data, CAC efficiency, and AI-based recommendations

2. Funnel Performance Management & Intelligent Optimization

• Own funnel performance through SQO (Inquiry → MQL → SQO)
• Deploy AI models and analytics to identify bottlenecks, leakage points, and conversion opportunities in real time
• Utilize agentic tools to autonomously surface insights, recommend actions, and trigger optimizations across the funnel
• Establish standardized funnel definitions, governance, and performance benchmarks

3. Expand AI Stack & Data Governance

• Work with the Martech, internal agency and product marketing teams to integrate AI tools (predictive scoring, generative content, conversational AI, data enrichment, intent platforms)
• Work with the Martech, internal agency and product marketing teams to deploy agentic workflows that automate campaign execution, lead routing, scoring, and reporting
• Ensure data integrity, unified customer view, and seamless system interoperability
• Define and manage multi-touch attribution models enhanced by AI for more accurate revenue mapping

4. Pipeline Forecasting & Revenue Alignment

• Partner with Sales and RevOps to build forecasting models and pipeline coverage frameworks
• Establish shared accountability for pipeline generation and revenue outcomes
• Use predictive analytics to anticipate pipeline gaps and proactively adjust programs
• Participate in executive forecasting cadences with data-backed insights and scenario modeling

5. Lifecycle Marketing & Conversion Acceleration

• Define models for AI-driven lead scoring, routing, and next-best-action frameworks for in-life clients.
• Optimize in-life engagement through personalization engines and behavior-triggered campaigns
• Continuously refine lead management processes with automation and agent-based orchestration fo