Can you apply? Do they pay? Answered up front.

Your profile – this is what we expect from you: You have extensive experience in designing digital products, including information architecture, visual design, and interaction design, ideally in an e-commerce environment; Your profile – this is what we expect from you: You have a proven track record of working in interdisciplinary teams and are a true team player; Your profile – this is what we expect from you: You know how to effectively leverage AI and no-code tools to streamline the design process, maximize productivity, and clear space for deep, strategic design work; Your profile – this is what we expect from you: You are able to bring ideas to life by setting up prototypes and quickly iterating on them early and often using qualitative and quantitative user research methods; Your profile – this is what we expect from you: You are familiar with product discovery techniques, such as usability labs and A/B testing; Your profile – this is what we expect from you: You can think holistically about product strategy and vision; Your profile – this is what we expect from you: You are able to skillfully align user needs with strategic business goals to drive product success; Your profile – this is what we expect from you: You excel at using data-driven KPIs and strategic OKRs to maximize product value and impact; Your profile – this is what we expect from you: You are fluent in English (C1) and comfortable in a dynamic, international environment

Kaufland e-commerceKaufland e-commerce is the Schwarz Group tech company that builds and runs Kaufland's international online marketplaces for shoppers and sellers across Europe.

JavaScript · Python · AWS

8+ years in information security, including application threat modeling, developer training, vulnerability management, automated testing and code review; expertise in common security flaws and remediation, web and network protocols, security libraries and controls; Python or JavaScript development or scripting; experience working with developers, using application and cloud security tools, and applying industry security frameworks and standards; strong written and verbal communication. Preferred: a relevant bachelor’s degree and industry certifications such as AWS, CNCF or GIAC.

6sense6sense provides AI-powered revenue intelligence and go-to-market software.

Python · SQL · AWS

Qualifications: We are looking for someone who combines applied ML judgement with strong software engineering. You should be comfortable working through ambiguous product problems and explaining what the evidence supports, what remains uncertain and what to try next.; Qualifications: Experience delivering applied ML systems: You have taken an ML capability beyond a prototype and can explain how you evaluated it, integrated it into a product or service, and monitored or improved it after release.; Qualifications: Strong programming and engineering fundamentals: Expertise in Python with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks); Qualifications: Relevant technical depth: You have practical experience in one or more of information retrieval, semantic search, natural language processing, clustering or LLM-based applications, and can apply that experience to unfamiliar problems.; Qualifications: Evaluation and experimentation skills: You can construct useful datasets, choose appropriate metrics, compare against baselines and investigate why offline improvements may not translate into better customer outcomes.; Qualifications: Sound data judgement: You understand issues such as data leakage, selection bias, imbalanced data, sparse labels and overfitting, and can explain how they affect design and evaluation choices.; Qualifications: Production awareness: You consider latency, inference cost, observability and changing data as part of the solution, and can work with engineers to diagnose and improve production behaviour.; Qualifications: Clear communication and collaboration: You can explain technical trade-offs to colleagues across disciplines and work with them to agree useful outcomes and practical next steps.; Qualifications: Experience that would be useful; Qualifications: You do not need experience in every area below. These are opportunities to bring additional depth to the team.; Qualifications: Building retrieval-augmented generation systems, including chunking, embeddings, hybrid search and reranking.; Qualifications: Clustering or discovering themes in large collections of unstructured text, with traceable supporting evidence.; Qualifications: Designing human evaluation, annotation or relevance-judgement processes for subjective outputs.; Qualifications: Using implicit or explicit user feedback to improve ranking, recommendations or other ML behaviour.; Qualifications: Working with cold-start scenarios, limited labelled data or heterogeneous customer datasets.; Qualifications: Running online experiments or controlled releases and investigating differences between offline and production results.; Qualifications: Model fine-tuning, model selection or inference optimisation, with evidence of when the additional complexity is worthwhile.; Qualifications: Building reusable evaluation tooling, regression checks or monitoring for multi-stage ML and LLM systems.

AtlassianAtlassian is a Sydney-based B2B software company specializing in collaboration tools for software development and project management, serving a global market.