Lead Product Manager, GEO
$120,000–$150,000 year
RemoteUnited States
Job Summary
Own the reporting product strategy, defining methodologies, metrics, and dashboards for client-facing GEO/AI visibility insights. Drive feature development from concept to launch by writing PRDs, prioritizing initiatives, and partnering with engineering and design teams. Build meaningful AI visibility reporting by analyzing datasets with Data Science to uncover insights that improve product experiences and support case studies. Lead client-informed product discovery through beta programs and feedback synthesis to identify roadmap priorities. Align stakeholders across the business on investment decisions while monitoring the evolving SEO and GEO landscape to inform strategic direction. Maintain partnerships with external SEO/GEO tooling providers to stay ahead of emerging industry themes.
Required Qualifications
- 4+ years of experience in product management, client reporting and analytics, agency SEO, or adjacent product-building roles
- ideally within media, data, or marketing technology
- At least 1 year researching, working, or hacking together GEO-related projects
- Strong familiarity with the SEO, content marketing, martech, and AI visibility (GEO) ecosystem
- Hands-on experience with tools such as Ahrefs, Semrush, Similarweb, Profound, Airops, http://peec.aiPeec.ai http://Peec.ai, or comparable SEO/GEO platforms
- Understanding of how AI search works—including LLMs, retrieval systems, and citations—and how those dynamics intersect with content strategy, PR, earned media, and SEO
- Demonstrated success leading strategic, cross-functional initiatives and influencing stakeholders across multiple teams
- Analytical fluency and comfort working directly with datasets using tools like Google Sheets, SQL, or BI platforms to evaluate methodologies and uncover insights
- Excellent written and verbal communication skills, including experience presenting to senior stakeholders and client-facing teams
- Experience writing PRDs and collaborating directly with engineering and design teams throughout full product build cycles
Desired Qualifications
- 2+ years working with AI, automation, or data-intensive products
- Background in B2B SaaS products with client-facing dashboards, portals, or reporting experiences
- Experience creating enablement materials and training go-to-market teams
- Established relationships or network within the SEO, GEO, or AI search ecosystem
- Familiarity with content performance measurement, data storytelling, and client-facing insight reporting
- Experience running beta programs or structured client feedback loops to inform product decisions
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