The Role
You will own core product surfaces end-to-end—spanning the multi-agent platform, client-facing experiences, and top-of-funnel seller tools. Working directly alongside the Lead PM and cross-functional engineering teams, you’ll translate manual e-commerce workflows into autonomous agent behaviors. The challenge is bringing trust, speed, and real-time leverage to an AI-native operational platform launching its MVP and scaling toward market leadership.
About the Product
The platform is an AI-native managed service for Amazon sellers that automates core brand operations end-to-end, replacing standard monitoring dashboards. It deploys specialized AI agents across 20+ operational domains—including PPC, inventory, and traffic management—to handle complex merchant workflows autonomously. The product operates in a high-leverage e-commerce environment built to scale directly with real-time seller data and Amazon platform APIs.
Technology Stack: The core platform relies on modern LLM architectures and custom multi-agent frameworks, integrating directly with Amazon APIs (SP-API) for real-time inventory and advertising data. Product workflows leverage a data layer built for rapid model evaluation, agent performance tracking, and automated reporting. PMs interact directly with the stack through rapid prototyping and shipping tools like Lovable, Cursor, and Claude, backed by an MCP (Model Context Protocol) server architecture.
What You’ll Be Doing
- Own key platform surfaces end-to-end—from initial discovery and technical specs to launch and rapid iteration
- Deconstruct complex, manual Amazon seller workflows into predictable logic for autonomous AI agents
- Design quantitative evaluation metrics with data science to define and measure agent performance
- Prototype, design, and ship functional features directly using AI-assisted development tools
- Drive client and internal brand manager feedback loops into prioritized product requirements
- Shape user experience standards around trustworthiness, system transparency, and execution speed for AI-driven actions
What We Expect
Must-have
- 3–5+ years of total tech experience, with at least 1–2 years in product management (or an equivalent technical/builder background)
- Practical understanding of AI/ML foundations, including LLM mechanics, agentic workflows, and model evaluation
- Proven data fluency—ability to query datasets, define metrics, and evaluate output quality independently
- Demonstrated hands-on builder mindset using modern AI tools (e.g., Cursor, Claude, Lovable) to prototype or code
- Fluent English with excellent written and verbal communication skills
Nice-to-have
- Domain experience in e-commerce or the Amazon seller ecosystem (familiarity with SP-API, PPC, FBA, SQP)
Why This Role Is Worth Your Time
- High-leverage execution: you are empowered to ship features directly to production using AI tools without waiting for multi-layered engineering handoffs
- Direct exposure to cutting-edge multi-agent architecture operating on real-world e-commerce revenue and operational pipelines
- True product ownership at the ground level, transitioning an innovative MVP into a category-defining AI platform
