Director of AI Revenue Innovation

Strengthening and empowering all of the communities we serve. Position Summary

Advance Local is seeking a visionary and entrepreneurial Director of AI Revenue Innovation to lead the discovery, incubation, and scaling of new AI-driven revenue opportunities across the organization. This role is distinct from day-to-day AI applications within business units—it is focused on pioneering new frontiers, accelerating growth, and building scalable solutions that can be adopted enterprise-wide.

The ideal candidate will be a strategic thinker and hands-on innovator who can identify high-impact opportunities, rapidly prototype solutions, and drive them to measurable business outcomes. This leader will also serve as a strategic advisor and enabler to business unit leaders, helping them unlock AI’s potential within their domains while maintaining ownership of cross-functional, high-risk/high-reward initiatives.

This base salary range is $140,000 - $165,000 per year.  Additional incentives bring total potential compensation to $180,000 - $225,000 per year.

Key Responsibilities

Strategic Innovation & Incubation

• Own the AI revenue innovation pipeline: identify, validate, and incubate new AI-driven business models and monetization strategies.
• Lead cross-functional initiatives that push the boundaries of AI usage beyond current business unit capabilities, while insuring a “human in the loop” implementation to ensure project integrity.
• Develop and present business cases for new AI initiatives, including ROI projections, resource needs, and go-to-market strategies.
• Partner with executive leadership to align innovation efforts with company-wide growth objectives.

Execution & Enablement

• Build and lead pilot programs that test new AI applications in real-world revenue contexts.
• Establish repeatable frameworks for experimentation, evaluation, and scaling of successful initiatives.
• Serve as a center of excellence for AI revenue innovation, providing guidance, tools, and best practices to business units.
• Collaborate with Advertising, DCR, Affiliate/Sports Betting & iGaming, Product, Content, and Enterprise Services to ensure seamless integration of AI solutions.

Consultation & Collaboration

• Act as a strategic consultant to business unit leaders, helping them identify and evaluate AI opportunities specific to their operations.
• Facilitate knowledge sharing through workshops, internal communications, and prompt libraries.
• Maintain strong relationships with internal stakeholders to ensure alignment and adoption of AI initiatives.

Market & Technology Leadership

• Stay ahead of industry trends and emerging technologies in AI monetization relevant to Advance Local.
• Forge external partnerships with AI startups, research institutions, and vendors to bring cutting-edge capabilities into the organization.
• Represent Advance Local at industry events and thought leadership forums.

Success Metrics of Role

• Number and impact of new AI-driven revenue streams launched.
• Adoption rate of AI innovations across business units.
• ROI and performance of incubated initiatives.
• Internal stakeholder satisfaction and engagement with AI strategy.

Qualifications

General Skills

• Bachelor’s Degree or equivalent experience
• Minimum 8 years experience in strategy and innovation.
• Minimum 2 years experience with LLMs, prompt engineering, and AI product development.
• Minimum 5 years experience working with product and technology teams to bring new products to market.
• Minimum 2 years experience in corporate strategy for a media, technology, advertising, or associated industry.
• Proven track record of entrepreneurial innovation and revenue generation.
• Strong strategic thinking and business acumen with the ability to effectively present complex ideas and thinking to technical and non-technical audiences.
• Experience leading cross-functional teams and managing complex projects.

Technical Skills

• Hands-on experience with LLMs, prompt engineering, and AI product development.
• Familiarity with API integration, fine-tuning models, and vendor management.