Machine Learning Product Manager positions focus on delivering results in their domain. This page aggregates open Machine Learning Product Manager roles and what employers typically expect.
Founded in 2017, refurbed is Europe’s fastest-growing marketplace for refurbished products, active in 23 European countries and having surpassed €2Bn in GMV — all while being profitable. With beautiful headquarters in Vienna, we operate as a remote-first company and have been recognised as a Top DACH Employer by Kununu for four consecutive years. Our mission is to make sustainable consumption the easy choice by enabling customers to buy products up to 40% cheaper while significantly reducing CO₂ emissions. If you thrive in an environment that values momentum, ownership, and impact, you’ll feel at home here. We’re a fast-paced, high-performance team that works hard and challenges itself everyday. To enable this high-performance every team member enjoys full autonomy over their location (we’re remote-first). We're looking for a Machine Learning Product Manager to lead the strategy and execution of refurbed’s intelligent decision-making capabilities. Working closely with Data Science, Engineering, Growth, Commercial, and Marketplace teams, you'll turn complex business challenges into scalable, ML-powered product solutions. This is a strategic and technical role where you'll define how intelligent systems make decisions, balance automation with human oversight, and drive measurable business impact through data-driven optimization and experimentation. WHO YOU ARE: 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: you do not need to be a data scientist, but you should be comfortable discussing data pipelines, model inputs and outputs, model evaluation, experimentation design, system constraints, and technical trade-offs. Experience working with ambiguous, cross-functional, and highly strategic product areas where the right solution is not obvious from the start. Strong stakeholder management skills, with the ability to align teams that may have different goals, incentives, and operating rhythms. A structured, outcome-oriented approach to product discovery and delivery. Excellent communication skills and the ability to make complex systems understandable, actionable, and inspiring. Passion for sustainability, marketplaces, AI, and building intelligent systems that create real-world business impact. Location & eligibility: This role is open to candidates based in Europe (including UK) only with a valid right to work. WHAT YOU'LL DO: 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 Data Science, Engineering, Analytics, Commercial teams and Leadership 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 the data inputs, model requirements, experimentation approach, monitoring needs, and feedback loops required to make decisioning reliable and scalable. Lead discovery into current commercial workflows, pain points, and decision logic across various systems. Design product mechanisms for human-in-the-loop control Use experimentation to validate recommendations and de-risk automation before scaling. Define and track product KPIs and model-impact metrics, ensuring that ML-driven decisions translate into real business outcomes. Communicate complex ML, data,…