AI Product Manager – AI-Powered Retail Solutions

DetailPage.com helps e-commerce brands grow organic traffic using a patented AI-assisted process. They are hiring an AI Product Manager who will blend product management, UX design, and hands-on development to take ideas from brand conversation to working product.

Responsibilities:

• Talk to brands. Meet with big 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 with traffic, SOV, and Share of AI Voice data
• Build with AI. Design the UX and build production-ready 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, and to take on the more technically complex pieces
• Run the loop. Lead lightweight agile rituals and keep a tight loop between brand feedback and release
• 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 with demos, release notes, and onboarding; turn flagship-brand beta feedback back into the roadmap

Requirements:

• Product building – proven track record taking products from 0→1, ideally having personally built and shipped working software, not just managed a backlog
• AI-native execution – hands-on 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 writing and reading code, discussing APIs, embeddings, and pipelines, and partnering with engineering on complex, scalable systems
• Data fluency – comfortable with SQL and exploring data (BigQuery/Redshift-style) 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/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 (Looker, Tableau, Power BI) or growth experimentation