Do you want to use your passion and talent to make consumption more sustainable?
We're Europe's fastest-growing marketplace for refurbished products, empowering customers to acquire items up to 40% cheaper while making a substantial impact on reducing CO2 emissions compared to buying new devices.
Since our launch in February 2017, we grew to more than 300 employees and expanded across the European region. Throughout this journey, we've successfully concluded three substantial funding rounds, selling hundreds of thousands of products. Thanks to our team's efforts, we were recognized as the Top Employer in the DACH region (2023 and 2024) by Kununu and secured the title of an ACM Preferred Employer (2023).
As a Product Manager specialized in machine learning/data you will work with a cross-functional squad consisting of BE Engineers, Data scientists, and analysts. Together with your colleagues, you will optimize our algorithm and data models enabling our customers to find and buy their perfect refurbed products faster and easier.
WHO YOU ARE
- You have a degree in Computer Science, Data Science, or a related field
- You have a proven track record of successfully delivering machine learning projects
- Significant experience in product management, with a focus on (big) data & machine learning projects
- Solid understanding of machine learning concepts and algorithms
- Experience with data analysis tools
- Experience with a/b testing
- Excellent communication skills with the ability to convey technical concepts to both technical and non-technical stakeholders
- Strong analytical and problem-solving skills, you think strategically and make decisions based on data
- Experience working in cross-functional teams in a collaborative and agile environment
- Knowledge of SQL & Business Intelligence (e.g. Looker)
- It's a plus if you have experience with pricing algorithms, but this is not a must
WHAT YOU WILL DO
- Strategy Development: Collaborate with cross-functional squad to translate strategy into a roadmap with specific initiatives to be tested for the machine learning models focused on optimizing offer selection and pricing
- Data Analysis: Work closely with Data Scientists and Analysts to analyze large datasets, extract meaningful insights, and use them to inform decision-making
- Collaboration: Foster a collaborative environment within the backend and data engineering squad and across departments to ensure seamless integration of machine learning solutions into our products and services
- Clearly communicate project updates, results, and insights to stakeholders, including non-technical audiences
- Gather insights from both internal and external sources to better understand user needs and identify levers that can enhance offer selection, always prioritizing customer happiness and retention in decision-making
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 not cry about it but 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 can take unlimited number of trainings we are offering you through LinkedIn learning.
- Additionally, we are partnering with Likeminded, offering you private sessions with experts for your personal growth and mental health.
Flexibility:
- 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.
- Work from home or in our modern and sustainable office in the heart of Vienna – we love dogs, so feel free to bring your furry little buddy too. And yes, there are free fruit, coffee & drinks in the office 😊
…and much more! See https://careers.refurbed.com/ for further insights!
Austria
