AI Product Manager – AI-Powered Retail Solutions

AI Product Manager – AI-Powered Retail Solutions

Own the Amazon Insights and Share of AI Voice tools that give brands deep insight — and concrete actions — for driving e-commerce growth across retail and AI search.

helps e-commerce brands grow organic traffic using a patented (US Patent No. 12,093,340), AI-assisted process that finds high-traffic keywords and rewrites product content. We're hiring an AI Product Manager who is really a product builder — someone who blends product management, UX design, and hands‑on development to take ideas from brand conversation to working product. You'll own and grow our Amazon Insights and Share of AI Voice tools, building production‑ready proofs of concept yourself with AI while engineering helps you scale and tackle the more technically complex work.

• 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.

• Product building – proven track record taking products from 0 to 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 (Big Query/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.