# Machine Learning Product Manager \(f/m/x\) - remote - Company: [Refurbed]() - Location: Remote - Remote: Yes - Team: Product Management - Posted: June 23, 2026 ## Job description 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, and optimization concepts clearly to both technical and non-technical stakeholders. **WHY YOU WILL ENJOY WORKING WITH US:** **Our Culture and Values:** * Decisions should be made based on facts and not by hierarchy levels? We sure think so! * We embrace giving and receiving feedback, testing and welcoming new ideas, as well as sharing our knowledge across the company. * You fail sometimes? Well, so do we! We’re all just human, let’s learn from our mistakes to improve in the future! * No matter who you love, where you’re from, who you pray to, whether you pee sitting down or standing up – we are a bunch of talented people who enjoy spending our time making a difference! **Personal & Professional Development:** * You'll have access to a dedicated learning budget within your department to support your growth, whether it's courses, conferences, or other learning opportunities that matter to you. * We partner with Likeminded, offering you private sessions with experts for your personal growth and mental health. * We frequently host internal workshops, allowing our teams to further develop their skills in different areas and enhancing collaboration across departments. **Flexibility:** * We care about a healthy work/life balance. We not only function and support a **fully remote** setting but also offer the possibility to work from our beautiful office in the vibrant heart of Vienna – we love dogs, so feel free to bring your furry little buddy too 😊 * We trust you to do the best job, so we don't care so much when you do it – you are able to self-organize. * You will also be invited to take part in our office weeks, happening three times a year, where you will have the chance to work side by side with your colleagues and enjoy the team-building events and on-site workshops …and much more! See https://careers.refurbed.com/ for further insights! ## Apply [Apply on Refurbed]() Canonical job page: