产品工程师 (m/f/d)
Product Engineer (m/f/d)
我们的公司
"Buying Labs 是全球高端消费品采购和分销的领先合作伙伴!"
我们正在寻找一名产品工程师(m/f/d)加入 Buying Labs 的技术团队,理想地点在汉堡或远程办公。在这个职位上,你将结合深厚的技术能力与强大的产品思维,使用人工智能构建为我们的用户和业务创造真正价值的工具和功能。你将全程负责功能的开发——从规划和设计到开发、部署和采用,并在每一步都利用人工智能实现更智能、更快的开发。
这是一个为有影响力而打造的角色:理解用户视角和底层业务流程的人,能够规划需要构建的内容并将其变为现实。
你的职责
- 端到端产品交付:从概念到生产,为真实用户交付功能,而不仅仅是代码——提供能带来可衡量业务价值的完整解决方案。规划需求,定义技术方案,并在前端和后端交付,从一开始就内置质量并通过适当的测试进行验证。
- 产品思维与用户导向:理解用户需求和业务流程,确定应该构建什么以及为什么。将产品想法和利益相关者的意见转化为用户实际采用的体验。
- 将人工智能融入产品:在我们的平台上设计和集成人工智能驱动的功能——不只是使用代码助手,而是构建解决用户实际问题的人工智能解决方案。识别人工智能可以加快工作流程、改善决策或解锁新功能的机会。
- 数据建模与可扩展系统:构建稳固的数据模型和可扩展的架构,作为我们产品的可靠基础。将重复性工作转化为共享的构建模块(UI 组件、数据导入流程、人工智能管道),使每个新工具的构建速度都比上一个更快。
- 利益相关者协作与采用:与各个层级的利益相关者——从管理层到运营人员——协作,对优先级达成一致并推动新工具和功能的采用。清晰地传达技术概念,并在组织内部建立对你解决方案的支持。
- 持续改进:尽早收集反馈,快速迭代,并持续改进你所构建的内容。紧跟新兴技术和工程最佳实践,确保我们的工具和系统始终领先于业务需求,保持平台的竞争力。
查看英文原文
Our Company
"Buying Labs is the leading global partner for sourcing and distributing premium consumer goods!"
We're looking for a Product Engineer (m/f/d) to join our Tech team at Buying Labs ideally based in Hamburg or remotely for the right fit. In this role, you'll combine deep technical skill with strong product thinking to build tools and features using AI that create real value for our users and our business. You'll own features end to end - from scoping and design through development, deployment, and adoption - and use AI to build smarter and faster at every step.
This is a role for builders who care about impact: people who understand both the user perspective and the underlying business processes, who can scope what needs to be built and then make it happen.
Your Mission
- End-to-End Product Delivery: Own features from concept to production and real users, not just code -ship complete solutions that drive measurable business value. Scope requirements, define technical approaches, and deliver across frontend and backend, with quality built in from the start and verified through appropriate testing.
- Product Thinking & User Focus: Understand user needs and business processes to identify what should be built and why. Translate product ideas and stakeholder input into shipped experiences that users actually adopt.
- Building AI into Products: Design and integrate AI-powered features into our platform - not just using coding assistants, but building AI solutions that solve real problems for our users. Identify opportunities where AI can speed up workflows, improve decision-making, or unlock new capabilities.
- Data Modelling & Scalable Systems: Build solid data models and scalable architectures that serve as a reliable foundation for our products. Turn repeated work into shared building blocks (UI components, data import flows, AI pipelines) so each new tool is faster to build than the last.
- Stakeholder Collaboration & Adoption: Work with stakeholders at all levels - from leadership to operations - to align on priorities and drive adoption of new tools and features. Communicate technical concepts clearly and build buy-in for your solutions across the organisation.
- Continuous Improvement: Gather feedback early, iterate quickly, and continuously improve what you build. Stay current with emerging technologies and engineering best practices to keep our tools & systems ahead of what the business needs to keep the platform competitive.
Nice to Have:
- Experience with LLM tooling — provider APIs (Anthropic, OpenAI, Gemini), agent and tool-use patterns (MCP), and evaluating output quality.
- Familiarity with vector search technologies (pgvector or similar).
- Hands-on experience with product analytics and observability tools (e.g. PostHog, Sentry) to measure usage and drive adoption.
- Experience integrating ERPs or operational systems (orders, inventory, master data).
- Background in eCommerce, wholesale, or B2B platform environments.
- Python for data tooling; Docker, GitHub Actions, AWS.
Your Profile
- Bachelor's degree or equivalent experience in Computer Science, Engineering, or a related field.
- 5–8 years of professional experience in software development with a strong product mindset
- Strong experience with TypeScript and modern React. Backend experience with Node.js, Express or comparable, REST APIs, and PostgreSQL with practical SQL. For mostly building new applications on our modern stack (React 19, Vite, TypeScript, Bun) and occasionally working in an established JavaScript codebase.
- Familiarity with modern AI/ML frameworks and agentic AI systems and solid skills in data modelling and building scalable system architectures.
- Comfort operating in a dynamic, fast-paced environment with shifting priorities.
- Hands-on experience building AI into products (structured extraction, automation, RAG, or agentic workflows), not just using AI coding assistants.
- Strong engineering quality mindset, with experience building reliable, maintainable products and validating them through appropriate testing.
- Strong product sense — you understand business processes and the user perspective, not just the code.
- Strong communication skills and experience working with stakeholders at all levels and driving adoption of the solutions you build.
- Proactive mindset with strong autonomy and initiative in a dynamic environment
- Fluent English is required, German is a plus.
Why Us?
- An awesome team & great vibes· Work with motivated colleagues in an agile, ambitious, and friendly atmosphere where collaboration and fun go hand in hand with high speed.
- Flat hierarchies & real growth opportunities· Take ownership of your role and develop personally alongside the company. We promote from within and value every voice, regardless of seniority or title.
- Modern workplace & cutting-edge equipment· State-of-the-art office setup including adjustable desks, mobile treadmills, air conditioning, and everything you need to excel in your role.
- Company pension program (bAV)· Smart pension plan with a 30% Buying Labs grant on your contribution—investing in your financial future together.
- Corporate Benefits membership· Access exclusive discounts from a wide range of partner brands and retailers.
- Full "Deutschlandticket" coverage· We cover the complete cost (ca. €60/month) so you can travel sustainably and conveniently throughout Germany.
- Free bike options· Choose between a complimentary "Swapfiets" bike (original or deluxe 7) or opt for JobRad bike-leasing with an additional €26/month grant from Buying Labs.
- Complimentary food & beverages· Free Friday lunch in the office, plus organic fruit & vegetables, drinks, snacks, coffee/tea, healthy shots and seasonal treats (e.g. ice cream, soups) throughout the week.
- Personalized workspace setup· €100 welcome voucher to customize and optimize your workspace from day one.
- Refer-A-Friend (employee referral program)· You love being part of Buying Labs? Fantastic! Then recommend people from your personal network and receive attractive rewards.
Sounds like a perfect fit? We can’t wait to meet you – apply now and be part of our journey!
Originally posted on Himalayas