Machine Learning Product Manager

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refurbed

WebsiteLinkedInAll Job Openings

201 - 500 employees

🛍️ eCommerce

🛒 Retail

☁️ SaaS

💰 Series C on 2023-11

eCommerce • Retail • SaaS

refurbed is an online marketplace that specializes in selling refurbished electronics, including smartphones, laptops, tablets, and various accessories. Committed to sustainability, refurbed ensures that all devices undergo a thorough refurbishment process to meet high quality standards, offering a minimum 12-month warranty on each product. The company promotes environmentally-friendly practices by encouraging the reuse of technology and minimizing electronic waste, making it a preferred choice for eco-conscious consumers.

📋 Description

• Own the product vision, strategy, and roadmap for refurbed’s AI-powered steering capabilities • Translate the company and product vision into clear product problems, business requirements, decision domains, user stories, and measurable success criteria. • Partner closely with teams to define how ML models and decisioning systems should support marketplace growth. • Identify and prioritize the most valuable use cases for intelligent steering • Work with Data Science and Engineering to define necessary data inputs and model requirements. • Lead discovery into current commercial workflows and decision logic. • Design product mechanisms for human-in-the-loop control • Use experimentation to validate recommendations. • Define and track product KPIs and model-impact metrics. • Communicate complex ML and optimization concepts clearly to stakeholders.

🎯 Requirements

• 5+ years of product management experience, with a few years in ML, AI or algorithmic decisioning. • Strong ability to work with Data Science and Engineering teams on ML-powered products, including translating business problems into model objectives, product requirements, and measurable outcomes. • Experience with marketplace dynamics, pricing systems, recommendation systems, ad tech, ranking is a strong plus. • Excellent analytical skills and a strong understanding of experimentation • Ability to reason through complex commercial trade-offs • Strong technical fluency. • Experience working with ambiguous, cross-functional, and highly strategic product areas. • Strong stakeholder management skills. • A structured, outcome-oriented approach to product discovery and delivery. • Excellent communication skills. • Passion for sustainability, marketplaces, AI, and building intelligent systems.

🏖️ Benefits

• Dedicated learning budget • Private sessions with experts for personal growth and mental health. • Internal workshops for skill development and collaboration.