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refurbed

refurbished electronics marketplace · sustainable consumption

Machine Learning Product Manager - (f/m/x) - remote

RemotePosted 27 days ago
ProductSenior
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About the role

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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 three 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!

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