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.