stacker - Lead Product Manager, GEO & Earned Media Reporting
Requirements
• · 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. • · 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, Peec.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. • · 2+ years working with AI, automation, or data-intensive products. • · Experience writing PRDs and collaborating directly with engineering and design teams throughout full product build cycles. • · 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.
Responsibilities
• · Own the reporting product strategy: Define and evolve Stacker’s client reporting roadmap, with an initial focus on GEO/AI visibility and long-term expansion into a comprehensive reporting suite. • · Drive feature development from concept to launch: Write clear PRDs and user stories, prioritize initiatives, and partner with engineering and design teams through development, QA, and release. • · Build meaningful AI visibility reporting: Define the methodologies, metrics, visualizations, and client narratives that help brands understand performance within AI search ecosystems. • · Partner closely with Data Science: Analyze reporting data across stories and campaigns to uncover insights that improve product experiences, support case studies, and shape educational content. • · Lead client-informed product discovery: Monitor feedback trends, run beta programs, and synthesize client use cases to identify opportunities, friction points, and roadmap priorities. • · Align stakeholders across the business: Keep leadership, client-facing teams, and cross-functional partners informed on roadmap decisions, release timelines, and long-term investments. • · Monitor the evolving SEO and GEO landscape: Track industry trends, competitive tooling, and changes in AI-driven discovery to inform strategic product direction and investment opportunities. • · Strengthen external ecosystem relationships: Maintain productive partnerships with SEO/GEO tooling providers and industry experts to stay ahead of emerging themes and feature opportunities.
Benefits
• Annual Salary (DOE) $120K – $150K • Offers Equity • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here • What's a SEO or AI search visibility (GEO) tool you've used recently, and what's one thing it does well or poorly for measuring client value? • Tell me about a reporting or analytics product you've worked on. What aspect are you most proud of, and why? • What's a product decision you pushed for that turned out to be wrong? What did you do next? • Stacker is committed to creating a diverse and inclusive workplace. To help us achieve this goal, we invite you to respond to this completely optional demographic question. Participation is entirely voluntary and will not have a direct impact on your candidacy. If you’d prefer not to answer, you can select “Prefer not to say.” • Prefer not to say • Prefer to self-describe • Prefer not to say • African American or Black • Middle Eastern or North African • Native American or Alaskan Native • Native Hawaiian or Pacific Islander • Prefer not to say • Other or Prefer to self-describe • Prefer not to say • Prefer not to say
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