Product Manager - AI

About the Role

As Recykal Marketplace scales, growth without intelligence leads to margin volatility, pricing errors, and disputes. The Product Manager Intelligence & Margin Enablement is responsible for turning Recykals data both existing system data and currently untracked human inputs into actionable pricing, risk, and execution intelligence.

This role ensures that GMV growth remains profitable, predictable, and defensible by reducing margin leakage and improving deal quality at scale.

Key Responsibilities

Marketplace Intelligence

• Build buyer and seller profiles that capture behavioral, performance, and risk signals
• Structure and productize human-generated signals (field observations, negotiations, intent)

Pricing & Margin Intelligence

• Own pricing intelligence across won and lost deals
• Surface price confidence bands and margin visibility for Account Managers
• Partner with Trust systems to proactively prevent debit notes and disputes

Insight-to-Action Workflows

• Translate insights into product surfaces that drive better decisions (not just dashboards)
• Enable intelligent buyerseller matching based on historical performance and risk

Cross-Functional Collaboration

• Work closely with Finance, Ops, and Sales to align intelligence outputs with real-world workflows
• Partner with Engineering and Data teams to work with imperfect, noisy data

What Youll Work On

• Buyer and seller intelligence profiles
• Pricing intelligence and margin diagnostics
• Risk and performance signals feeding trust systems
• Decision-support tools for AMs and Ops

Qualifications & Experience

• 25 years of product management or AI-decision engine experience
• Strong data literacy and comfort working with ambiguous datasets
• Understanding of unit economics, pricing, and margin drivers
• Experience building analytics or decision-support products
• Structured, hypothesis-driven thinker
• Commercially sharp and outcome-oriented
• Curious and comfortable with ambiguity
• Able to tell a clear story with data
• Focused on impact, not dashboards