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Paris, Île-de-France, France
Hybrid
We’re here to help make tech reliable, affordable, and better than new. We're a global marketplace for refurbished devices, helping lower our collective environmental impact by providing trustworthy, affordable tech with 92% less carbon emissions than new.
Yep, you read that right. Turns out refurbished tech is way better for the planet than new. In fact, With every device purchased on Back Market, our positive impact on the planet grows. From our Customer Care representatives to our software engineer, every individual at Back Market cuts the planet — and consumers — a break. Our mission is simple: to do more with what we already have.
Are you ready to join us?
About the role
As part of the Bureau of Technology, you’ll design, build, and scale AI-driven solutions to improve our Customer Care. You’ll join a new team, Care AI (a mix of data scientists and software engineers) focused on enhancing the experience of our customers in need of help with faster and more precise resolutions.
Your focus will be in implementing and scaling our Care AI agents and improving AI powered features aimed at increasing agents efficiency, detecting customer sentiment and speeding up resolutions.
What you will do
Identify company problems and opportunities that AI can address, own them end-to-end, from problem definition to production rollout, collaborating with stakeholders and relevant teams to design and ship the product features that solves them.
Hands-on development, productionisation, and operation of machine learning models and/or GenAI applications at scale. This includes integrating and optimizing LLMs for production environments.
Contribute to the development of the AI community within the company by promoting best practices and sharing your work internally to raise awareness about AI capabilities
Regularly present work internally (demo, internal conferences,...) to technical, engineering and product stakeholders to acculturate the business to AI related topics
About you
6+ years of industry experience in data science or related fields, with a Master's or PhD in a quantitative discipline (Statistics, Economics, Sciences, or Engineering)
Proven track record of leading impactful data science initiatives that solve real business problems, with the ability to mentor and develop scientists, engineers, and peers
Deep knowledge of the ML lifecycle, algorithms, best practices, and hands-on experience with LLMs, prompt engineering, and Generative AI APIs
Strong ability to design end-to-end AI and data architectures that integrate with existing product systems, data platforms, and engineering infrastructure, with solid Python skills and software engineering fundamentals (testing, code review, deployment)
Proficiency in AI-assisted and agentic coding workflows (e.g. Claude Code), and strong communication skills to convey complex technical concepts to both technical and non-technical audiences
Recruitment process:
Call with Stéphane, Senior Talent Acquisition Partner (1h)
Technical screening (30 min)
Technical Interview (1h15)
Stakeholder interview (1h)
Back Market Values fit interview - 45 min
At Back Market, we’re committed to hiring and supporting diverse teams of people from all backgrounds, experiences, and perspectives — it’s one of the reasons we’re such a high-scoring certified B Corp company (93.2).
No matter your role and seniority level, you’ll enjoy impact-driven work with hands-on career development in an innovative, driven, and fast-paced environment — with benefits to match, like:
- A mission driven work environment where your day to day makes an impact on the planet. Seriously.
- Hybrid work environment, with 2 remote days a week and 1 remote work week per quarter, plus 3 flex days.
- Employee Resource Groups, including mentorship programs, comprehensive accessibility policies, and cultural competency training.
At Back Market, we strive to create a workplace that embodies the world we’re trying to change. We’ve embedded our diversity, equity, and inclusion principles into our DNA — from dedicated staff to employee resource groups to our company values.
We know that the perfect background for a role doesn’t mean the perfect fit — we encourage you to apply for a role even if you think you may not have all the qualifications.
If reasonable accommodations are needed for the interview process, please do not hesitate to discuss this with the Talent Acquisition Team.