refurbed
marketplace for refurbished products
HeadofInternalTechnology&AI(f/m/x)
Neural analysis suggests this role is
optimal for Lead candidates.
“Head of Internal Technology & AI (f/m/x) at refurbed. Skills: Internal Technology & AI leadership, AI engineering stack expertise, IT operations ownership, change management, structured thinking and communication. Lead the next chapter of refurbed's AI. Own the third-party AI stack and general business tooling”
What You'll Achieve.
making sustainable consumption the easy choice; enabling customers to buy products up to 40% cheaper; significantly reducing CO₂ emissions; high-performance every team member enjoys full autonomy over their location; turning new ways of working into durable habits; owning outcomes through a team
Industry & Context.
frames messy cross-functional problems; drives trade-offs
workation up to two months per year, office weeks three times a year
What They're Looking For.
Must Have
Engineering background enough to drive architecture and challenge senior engineers on architecture and trade-offs, A product mindset for internal products and services and internal customers, Deep change-management expertise, Structured thinker and communicator, Working fluency with the modern AI engineering stack (LLMs, agents, MCPs, plugin/skill ecosystems, coding assistants, agent harnesses), Leadership exposure to internal AI/engineering teams and classical IT operations
Nice to Have
AI governance / EU AI Act, marketplace, e-commerce, or scaling-org context
What You'll Do.
Lead the next chapter of refurbed's AI
Own the third-party AI stack and general business tooling
Own corporate IT outcomes end-to-end
Define standards for how internal systems
and data are integrated so AI can be deployed effectively
Maintain a registry of what runs at refurbed
Lead and develop a small cross-disciplinary team of AI & IT Engineers and admins
Build a high-performing function and an engineering and IT service culture
How You'll Work.
Team & Collaboration
Close partnership with the CPTO and product engineering; Senior leaders and department champions; Cross-functional problems; Cross-disciplinary team of AI & IT Engineers and admins; Collaboration across departments
Communication Scope
Structured communicator; frames messy cross-functional problems; drives trade-offs; produces decision-ready material for C-Level; giving and receiving feedback; sharing our knowledge
Process & Methodology
prioritisation, ROI, regular steering
Full Job Description
Founded in 2017, refurbed is Europe’s fastest-growing marketplace for refurbished products, active in 12 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 our 250+ employees enjoy up to two months of workation per year. We’ve also 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). Lead the next chapter of refurbed's AI alternatively, a technical degree with a deliberate move into business, strategy, or transformation roles Engineering background strong enough to drive architecture and challenge senior engineers on architecture and trade-offs - you don't need to write production code, but you can read it A product mindset for internal products and services and internal customers Deep change-management expertise: turning new ways of working into durable habits rather than one-off rollouts; strong stakeholder management across senior leaders and department champions Structured thinker and communicator: frames messy cross-functional problems, drives trade-offs, and produces decision-ready material for C-Level; comfortable owning a portfolio (prioritisation, ROI, regular steering) Working fluency with the modern AI engineering stack (LLMs, agents, MCPs, plugin/skill ecosystems, coding assistants, agent harnesses); credible technical sparring partner for senior engineers on the AI stack and integration patterns Leadership exposure to internal AI/engineering teams and classic
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