Lead SEO & AI Search Optimization Specialist, you will serve as the company's subject matter expert for search and AI-driven discovery, leading SEO, AIO, AEO, and GEO strategy across the digital ecosystem.
Compensation
$124,800 - $163,000 annually
Responsibilities
Own and evolve Lennox's enterprise search and AI discovery strategy across traditional search engines, AI-powered experiences, answer engines, and emerging discovery platforms.
Serve as the company's lead subject matter expert for SEO, AIO, AEO, GEO, entity optimization, structured content, AI search visibility, large language model discovery, and emerging discovery platforms.
Build, manage, and communicate SEO and AI search roadmaps that align with business goals, customer needs, digital platform priorities, and measurable performance outcomes.
Lead Lennox's AI discovery and optimization efforts by improving visibility, citations, answer inclusion, and recommendation presence across AI-powered experiences including ChatGPT, Gemini, Copilot, Perplexity, AI Overviews, answer engines, and emerging discovery platforms.
Analyze AI-generated responses, competitive visibility, citation patterns, retrieval behavior, and discovery trends to identify optimization opportunities, measure performance, and design experiments that improve AI discoverability and recommendation frequency.
Requirements
Bachelor’s degree in marketing, communications, business, information systems, digital technology, or a related field
The Senior Test Coordinator oversees end-to-end quality engineering (QE) test management across all phases of the SDLC, including System Integration Testing (SIT), regression, User Acceptance Testing (UAT), and production readiness, while maintaining a centralized QE knowledge base to ensure best practices and continuous learning throughout the QE organization.
Locations (2)
Atlanta, Georgia, United States
Louisville, Kentucky, United States
Responsibilities
Own end-to-end test management across all phases of the SDLC
Coordinate testing schedules, environments, resources, and dependencies across multiple QE teams and product domains
Manage a flexible QE resource pool to match testing capacity with demand
Activate short-term, burstable QE capacity when internal team demand exceeds available bandwidth
Own the end-to-end UAT process, including scheduling, test environment readiness, business tester enablement, defect triage, and formal sign-off coordination
