
201 - 500 employees
đïž eCommerce
đ Retail
âïž SaaS
đ° Series C on 2023-11
eCommerce âą Retail âą SaaS
refurbed is an online marketplace that specializes in selling refurbished electronics, including smartphones, laptops, tablets, and various accessories. Committed to sustainability, refurbed ensures that all devices undergo a thorough refurbishment process to meet high quality standards, offering a minimum 12-month warranty on each product. The company promotes environmentally-friendly practices by encouraging the reuse of technology and minimizing electronic waste, making it a preferred choice for eco-conscious consumers.
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201 - 500 employees
đïž eCommerce
đ Retail
âïž SaaS
đ° Series C on 2023-11
eCommerce âą Retail âą SaaS
refurbed is an online marketplace that specializes in selling refurbished electronics, including smartphones, laptops, tablets, and various accessories. Committed to sustainability, refurbed ensures that all devices undergo a thorough refurbishment process to meet high quality standards, offering a minimum 12-month warranty on each product. The company promotes environmentally-friendly practices by encouraging the reuse of technology and minimizing electronic waste, making it a preferred choice for eco-conscious consumers.
âą Lead the design and delivery of internal AI tools and systems supporting refurbedâs transformation into an AI-native company âą Own services, integrations, and deployment pathways from prototype to secure, reliable full-scale internal deployment âą Partner with the Head of Internal Technology & AI to assess feasibility, prioritize initiatives, and deliver solutions âą Collaborate with core platform Engineering teams âą Design, build, and operate back-end services, APIs, and integrations for internal AI tools and workflows âą Manage secure deployment paths enabling non-engineers to launch internal tools with guardrails âą Build and maintain shared AI capabilities, reusable skills, plugins, MCP connectors, and an internal tool registry âą Deliver company-wide AI services and a standard toolkit for new joiners âą Evaluate architecture, model selection, integrations, and build-versus-buy options âą Shape the technical direction and scope of the internal AI platform âą Define risk-based review frameworks and assess internally built AI applications âą Implement access controls, sandboxing, model-usage controls, and data-handling safeguards âą Move business-critical automations to reliable supported infrastructure âą Establish and improve technical standards, runtimes, and best practices âą Drive adoption through demonstrations, documentation, and hands-on integration support âą Partner with departmental AI champions to remove blockers and develop safe, maintainable solutions âą Document systems for operation, maintenance, and extension âą Monitor AI developments and translate relevant advances into business opportunities
âą Experienced senior back-end engineer with a strong track record of building and operating production systems in Go, Python, or a similar language âą Ability to own services end to end, including architecture, deployment, secrets management, monitoring, and ongoing reliability âą Experience building AI- or LLM-powered applications for production use âą Understanding of model integration, evaluation, observability, and production incident response âą Hands-on experience with AI coding assistants such as Claude Code, Codex, or Cursor âą Understanding of reusable skills, plugins, MCP integrations, agent workflows, and agent orchestration âą Ability to evaluate tools and platforms and make build-versus-buy decisions âą Strong technical and product judgment âą Ability to work effectively with non-technical stakeholders and apply a product mindset to internal tools âą Security-conscious approach covering identity, access control, secrets, and data exposure âą Valid right to work in Europe âą Nice-to-have experience with Google Cloud Platform, Go, Python, product discovery, corporate IT, identity and access management, application security, or AI transformation (optional advantages, not requirements)
âą Dedicated learning budget for courses, conferences, and other learning opportunities âą Private sessions with experts for personal growth and mental health through Likeminded âą Internal workshops for skill development and cross-department collaboration âą Fully remote work setting âą Option to work from the Vienna office âą Flexible self-organized working schedule âą Office weeks three times a year with team-building events and on-site workshops âą Dog-friendly office
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