Insights Product Manager – AI-Powered E-commerce Analytics

Summary

DetailPage helps e-commerce brands grow organic traffic, create conversion-maximizing images, and improve business performance through AI-powered insights. The Insights Product Manager will own and grow the Amazon Insights and Share of AI Voice tools by engaging with brands, identifying and prioritizing opportunities, building AI-assisted prototypes, partnering with engineering, and measuring product outcomes.

Responsibilities

• Talk to brands. Meet with large CPG and mid-tier brands to understand their goals, uncover where they're losing organic visibility, and identify ways we can further drive their business
• Discover and prioritize. Mine client calls, internal team feedback, and competitive intel to find problems worth solving; quantify opportunities using traffic, SOV, and Share of AI Voice data
• Build with AI. Design the UX and build prototypes or proofs of concept using AI
• Partner to scale. Hand off to engineering to harden, scale, and integrate POCs into Amazon Insights and Share of AI Voice, while partnering with engineers on the more technically complex pieces
• Run the loop. Lead lightweight agile rituals and maintain a tight feedback loop between brands and product releases
• Measure and iterate. Instrument usage, set success KPIs, run experiments, validate outputs, and double down or sunset based on evidence
• Evangelize. Bring brands and internal teams along through demos, release notes, and onboarding; turn flagship-brand beta feedback into roadmap priorities

Skills

• Deep e-commerce expertise – proven track record of successfully working with e-commerce brands and a strong understanding of the metrics that drive traffic and conversion
• AI-native execution – hands-on experience building with generative AI tools and prompt engineering to produce real, production-ready functionality
• UX sensibility – you design intuitive workflows and can wireframe and prototype reporting and analytics experiences, not just describe them
• Data visualization – strong grasp of visualization best practices; you communicate trends, performance metrics, and business insights clearly
• Technical chops – comfortable working directly with engineers, discussing APIs, embeddings, and pipelines, and partnering with engineering on complex, scalable systems
• Data fluency – comfortable with deep data analysis and statistics, especially in the e-commerce space, and turning analysis into product decisions
• E-commerce understanding – real familiarity with how brands win on Amazon and across retail and AI search
• Brand-facing communication – confident and curious in conversations with CPG and mid-tier brand stakeholders
• Hands-on experience with Amazon Vendor Central, Seller Central, or retail media ecosystems
• Experience productizing generative AI or AI search (AEO/GEO) workflows
• Familiarity with keyword research tools or SEO analytics
• Background in analytics/BI platforms such as Looker, Tableau, or Power BI, or in growth experimentation

Qualifications

Must Haves

• Deep e-commerce expertise – proven track record of successfully working with e-commerce brands and a strong understanding of the metrics that drive traffic and conversion
• AI-native execution – hands-on experience building with generative AI tools and prompt engineering to produce real, production-ready functionality
• UX sensibility – you design intuitive workflows and can wireframe and prototype reporting and analytics experiences, not just describe them
• Data visualization – strong grasp of visualization best practices; you communicate trends, performance metrics, and business insights clearly
• Technical chops – comfortable working directly with engineers, discussing APIs, embeddings, and pipelines, and partnering with engineering on complex, scalable systems
• Data fluency – comfortable with deep data analysis and statistics, especially in the e-commerce space, and turning analysis into product decisions
• E-commerce understanding – real familiarity with how brands win on Amazon and across retail and AI search
• Brand-facing communication – confident and curious in conversations with CPG and mid-tier brand stakeholders

Nice to Haves

• Hands-on experience with Amazon Vendor Central, Seller Central, or retail media ecosystems
• Experience productizing generative AI or AI search (AEO/GEO) workflows
• Familiarity with keyword research tools or SEO analytics
• Background in analytics/BI platforms such as Looker, Tableau, or Power BI, or in growth experimentation