{ "count" : 39008, "data" : [ { "id" : "6a2c5ef674d8ee00a08e7fe5", "title" : "Working Student - Solution Consulting (f/m/d)", "company" : "think-cell", "industry" : "Software", "salary" : { "min" : 36000.0, "max" : 48000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for entry-level working student roles in Berlin, Germany, adjusted for the SaaS industry." }, "location" : "Berlin, Berlin, Germany", "locations" : [ "Berlin", "Berlin", "Germany" ], "timestamp" : "2026-06-14T22:37:25.627", "fingerprint" : "791992adc5eda1fb11d086c43043c95f97671aa8bdcddf9b80ada1fd3605c1ad", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/think-cell/jobs/4878703101", "externalId" : "4878703101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "state" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.5033790,13.3386522" } ], "locationText" : "Berlin, Berlin, Germany", "employmentType" : "INTERNSHIP", "professionalSkills" : [ "Solution consulting", "Product capabilities", "Customer value", "Market analysis", "Knowledge management" ], "hardSkillsList" : [ "Content creation", "Documentation", "Analysis" ], "hardSkills" : [ { "name" : "Content creation", "level" : "intermediate" }, { "name" : "Documentation", "level" : "intermediate" }, { "name" : "Analysis", "level" : "intermediate" } ], "majorSkills" : "Solution consulting, Content creation, Product knowledge", "majorSkillsList" : [ "Solution consulting", "Content creation", "Product knowledge" ], "coreResponsibilities" : "Master the product, Contribute to knowledge bases, Create product guides, Develop training materials, Create user documentation, Identify usability issues, Provide feedback to improve product, Research industry trends, Research competitors, Strengthen positioning, Prepare presentations, Deliver presentations, Assist in team coordination, Assist in documentation, Assist in knowledge management", "teamCollaboration" : "Internal audiences; External audiences", "domainKnowledge" : "SaaS; Consulting; Productivity tools", "domainList" : [ "saas", "consulting", "productivity-tools" ], "domainSpecificKnowledge" : [ "SaaS", "Consulting", "Productivity tools" ], "toolProficiency" : [ "PowerPoint" ], "communicationSkills" : "Explain complex concepts", "problemSolvingSkills" : "Analytical mindset", "specialRequirements" : "Work on-site 4 days per week", "qualificationsBasic" : "Fluent English", "qualificationsPreferred" : "Familiarity with PowerPoint, Data visualization experience, Additional languages are a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Working Student Solution Consulting - Join Our Innovative Team at think-cell Software Our Story At think-cell, we create powerful software solutions that help professionals be more efficient and productive. Founded in 2002 and based in Berlin, our tools integrate seamlessly with Microsoft Office to help users create presentations, charts, and diagrams with ease. Our dynamic, international team values creativity, collaboration, and technical excellence. What You Will Do  The Solution Consulting Team bridges product capabilities with customer value. We run live demos, support pilots, and create content such as how-to guides, product overviews, and selling stories. We also equip account managers with compelling narratives and maintain knowledge bases to optimize the user experience. Key Responsibilities: Master the product – Deep-dive into think-cell’s functionalities and contribute to internal knowledge bases. Create impactful content – Develop product guides, training materials, and user documentation. Ensure quality – Identify usability issues and provide feedback to improve the product. Analyze the market – Research industry trends and competitors to strengthen positioning. Support demos & training – Help prepare and deliver presentations for internal and external audiences. Keep things running smoothly – Assist in team coordination, documentation, and knowledge management. You will be great for this position if you have  Previous consulting experience - Prior internship or working student experience in management consulting, strategy consulting, transaction advisory, or a similar analytical business environment. Analytical mindset – Ability to connect product capabilities with customer needs. Strong communication – Clearly explain complex concepts to diverse audiences. Interest in SaaS, consulting, and productivity tools – Passion for software and business efficiency. Content creation skills – Experience in writing guides, documentation, or knowledge management. Detail-oriented & organized – Capable of tracking tasks and structuring information effectively. Fluent English – Additional languages are a plus. Familiarity with PowerPoint & data visualization – Prior experience is a strong advantage. Willingness to work on-site in our Berlin office 4 days per week, with 1 remote day Our Values As part of our team, you will embody and help shape the following principles that define us:  Forward Thinking: We embrace change and challenge the status quo. Ownership: We take pride in our work and learn from our mistakes. Customer First: We prioritize delivering lasting value. Unified Team: We foster collaboration, respect, and integrity. Strive for Excellence: We set ambitious goals and pursue quality. We believe in a human hiring process, every application is personally reviewed. Why is think-cell the right place for you? We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, Boston, London, Tokyo, and Dubai, we’re a diverse team of over 210 people, committed to innovation and excellence. think-cell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can’t wait to see what you’ll bring to the team!", "summaryDescription" : "Working Student - Solution Consulting (f/m/d) at think-cell. Skills: Solution consulting, Content creation, Product knowledge. Master the product. Contribute to knowledge bases", "postedDate" : "2026-06-12T22:17:03.172", "createdAt" : "2026-06-12T22:17:03.172", "lastUpdated" : "2026-06-14T22:37:25.627", "ingestTimestamp" : "2026-06-12T22:17:03.172", "mongoId" : "6a2c5ef674d8ee00a08e7fe5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Content creation", "Documentation", "Analysis", "Solution consulting", "Product knowledge", "Product capabilities", "Customer value", "Market analysis", "Knowledge management", "SaaS", "Consulting", "Productivity tools", "PowerPoint" ], "skillCount" : 13, "jobCategory" : "product", "jobSubcategory" : "product", "dataQualityScore" : 0.8888889, "_score" : 892.2521, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Software" }, { "id" : "6a2ca43a74d8ee00a09b0d53", "title" : "Working Student - Business Analyst", "company" : "Picnic", "industry" : "E-Commerce", "salary" : { "min" : 20000.0, "max" : 30000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level, part-time Working Student - Business Analyst in Amsterdam, Netherlands, adjusted for the e-commerce industry." }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands" ], "timestamp" : "2026-06-16T04:14:07.739", "fingerprint" : "89c762d0a3b65c7bee7ce360dd51281f1f856b520bb0b620dd2a9b199f2c720e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.picnic.app/nl/vacancies?gh_jid=2987976", "externalId" : "2987976", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "PART_TIME", "minimumEducation" : "Master's", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Business consulting" ], "hardSkillsList" : [ "Data analytics" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Business consulting", "majorSkillsList" : [ "Data analytics", "Business consulting" ], "coreResponsibilities" : "Analyze data, Identify opportunities, Support strategies, Create models, Optimize models, Work with teams, Deliver solutions, Challenge status quo, Rethink processes", "teamCollaboration" : "Work with teams", "domainKnowledge" : "Grocery shopping", "domainList" : [ "grocery-shopping" ], "domainSpecificKnowledge" : [ "Grocery shopping" ], "communicationSkills" : "Explain concepts", "continuousLearning" : "Lunch & Learn sessions; Team trainings", "innovationCreativity" : "Groundbreaking solutions; Push boundaries", "problemSolvingSkills" : "Analytical mindset", "specialRequirements" : "Minimum 16h per week, Minimum 4 months", "outcomesObjectives" : "Achieve operational excellence; Real-time improvements", "qualificationsBasic" : "Master's program enrollment, Proficiency with SQL, Proficiency with Python, Fluent in English", "qualificationsPreferred" : "French is a plus, EU citizenship", "workSiteFlexibility" : "Onsite", "rawDescription" : "In a nutshell As a Business Analyst Working Student at Picnic, you’ll be at the forefront of innovation, tackling complex challenges with fresh, groundbreaking solutions. This role is all about driving impact—you’ll analyze data, help identify opportunities, and support strategies that push boundaries and redefine the grocery shopping experience. You’ll join a dynamic and collaborative team in a fast-paced, innovative environment. Tricks of the trade Solving real-life puzzles: Tackle critical business questions that shape Picnic’s business model every day. Curious about the questions? Enabling: Achieve operational excellence by approaching challenges with a data-driven and analytical mindset Building: Create and optimize models for real-time improvements Communicating: Work effectively with different teams to deliver impactful and sustainable solutions Owning your projects: Take initiative by challenging the status quo and rethinking how things are done. Just because it’s been done that way doesn’t mean it’s the best way. Try us! Your superpowers You are currently enrolled in a Master’s program in Aerospace, Mechanical, Industrial, Automation or Production Engineering; Mathematics; Econometrics; AI; or equivalent Passion for data analytics and business consulting You have knowledge of fast-paced environments You have the ability to explain complex analytical concepts in a comprehensible manner to various stakeholders Your communication skills allow you to convert abstract plans into digestible information Proficiency with SQL and Python or are excited to learn You are fluent in both written and verbal English (French is a plus) and have an EU citizenship available Available for minimum 16h per week for minimum 4 months, preferably more Depending on your performance, we can discuss further opportunities at Picnic! Picnic Perks \uD83D\uDE80Every expert was once a beginner! You’ll have plenty of chances to grow, whether it’s through our casual Lunch & Learn sessions or team specific trainings. We’re especially keen on keeping great talent around: perform well as a working student, and we would love to explore transitioning you into a full-time role. \uD83C\uDF0DMake a difference You’ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you’ll also be contributing to making the world a better place! \uD83E\uDD1DTeamwork makes the dream work With more than 80 nationalities across 3 countries, you’ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more! \uD83E\uDD57Fresh Lunch, coffee, and snacks Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up. \uD83D\uDCAAStay healthy Mental health is important. As well as having the option to speak with Picnic colleagues who act as confidential advisors, our collaboration with OpenUp gives you easy access to professional psychologists, along with workshops and materials. There are plenty of sports communities and events to get involved with, from tennis to yoga to climbing! \uD83D\uDCB0Attractive package We offer competitive compensation and a pension plan that looks out for your future self.", "summaryDescription" : "Working Student - Business Analyst at Picnic. Skills: Data analytics, Business consulting. Analyze data. Identify opportunities", "postedDate" : "2026-06-14T21:48:54.729", "createdAt" : "2026-06-14T21:48:54.729", "lastUpdated" : "2026-06-16T04:14:07.739", "ingestTimestamp" : "2026-06-14T21:48:54.729", "mongoId" : "6a2ca43a74d8ee00a09b0d53", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analytics", "Business consulting", "Grocery shopping" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 850.0178, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f729", "title" : "Working student", "company" : "Mercedes-Benz AG", "industry" : "Manufacturing", "salary" : { "min" : 25000.0, "max" : 35000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a working student in the technology industry in Stuttgart, Germany, adjusted for entry-level seniority." }, "location" : "Germany-Baden-Württemberg-Stuttgart", "locations" : [ "Germany-Baden-Württemberg-Stuttgart", "Benzstr., , Stuttgart" ], "timestamp" : "2026-06-15T09:50:41.439", "fingerprint" : "3e88ce9d54fd38aecd5c94222caeb010661eea03477d8a5573a8d49482e4b783", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=896058", "externalId" : "896058", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Stuttgart", "state" : "Baden-Württemberg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.7784485,9.1800132" } ], "locationText" : "Stuttgart, Baden-Württemberg, Germany", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, SQL, AI/ML libraries, Embedding generation, Vector databases, RAG systems, LangChain, MLflow, Multi-agent frameworks", "professionalSkills" : [ "Data management", "Information extraction", "Model training", "ML lifecycle" ], "hardSkillsList" : [ "Programming skills", "Database management", "Retrieval capabilities", "AI workflows", "Machine learning development" ], "softSkillsList" : [ "Curious" ], "hardSkills" : [ { "name" : "Programming skills", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Retrieval capabilities", "level" : "intermediate" }, { "name" : "AI workflows", "level" : "intermediate" }, { "name" : "Machine learning development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" } ], "domainKnowledge" : "Conversational AI; Document embedding; Information retrieval; Multi-agent systems; RAG-systems; Vector databases; Cloud-native architecture", "domainList" : [ "conversational-ai", "document-embedding", "information-retrieval", "multi-agent-systems", "rag-systems", "vector-databases", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Conversational AI", "Document embedding", "Information retrieval", "Multi-agent systems", "RAG-systems", "Vector databases", "Cloud-native architecture" ], "toolProficiency" : [ "LangChain", "Databricks", "Microsoft AI Foundry", "MLflow" ], "qualificationsBasic" : "Good programming skills Python, Experience with AI/ML libraries, Experience in SQL, Experience with RAG systems, Experience with LangChain, Experience with MLflow, Knowledge of multi-agent frameworks, Knowledge of document embedding, Knowledge of information retrieval", "qualificationsPreferred" : "Experience Databricks platform, Experience Microsoft AI Foundry, Theoretical understanding Databricks, Theoretical understanding Microsoft AI Foundry", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for a dedicated AI Engineer who will play a significant role in shaping and optimizing our chatbot. You will play a key role in developing intelligent data management solutions and advanced Conversational AI systems. Gain valuable practical experience with us in product data management and get many insights into state-of-the-art technologies! These challenges await you: Design, implement, and manage document embedding storage solutions Develop and optimize processes for efficient information extraction from documents, including handling complex nested structures, to create and populate databases for our advanced chatbot applications Contribute to the development and deployment of RAG-systems, leveraging tools like LangChain to orchestrate complex AI workflows and ensure accurate, contextually relevant responses Explore, implement, and contribute to multi-agent frameworks for building sophisticated AI applications Utilize Databricks and Microsoft AI Foundry for data processing, model training, deployment and AI workflows Employ MLflow for experiment tracking, model management, and reproducible machine learning development Write clean, efficient, and well-documented code primarily in Python and SQL The position can start from June 2026. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a comparable field of study Good programming skills in Python, including experience with relevant AI/ML libraries Experience in SQL for effective database management Experience with RAG systems, including concepts such as embedding generation, vector databases, and retrieval capabilities Experience with LangChain for building LLM-powered applications Experience with MLflow for managing the ML lifecycle Knowledge of multi-agent frameworks and their application in developing autonomous and collaborative AI systems Knowledge of document embedding techniques and information retrieval methods Experience or a good theoretical understanding of the Databricks platform and Microsoft AI Foundry for data engineering and ML is a plus Proactive and curious mindset Ability to work effectively in a team English is mandatory, German is a plus Additional Information: We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, and proof of the standard period of study. Please remember to mark your documents as \"relevant for this application\" in the online form and observe the maximum file size of 5 MB. You can find further information on the hiring criteria here . Severely disabled applicants and applicants with equivalent status are welcome! The representative for severely disabled employees (sbv-sindelfingen@mercedes-benz.com) will gladly support you in the application process. HR Services will be happy to help you with any questions you may have about the application process. You can reach us by email at myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mon-Fri 10am-12pm & 1pm-3pm). Mercedes-Benz AG", "summaryDescription" : "Working student at Mercedes-Benz AG", "createdAt" : "2026-06-14T07:02:47.849", "lastUpdated" : "2026-06-15T09:50:41.439", "ingestTimestamp" : "2026-06-14T07:02:47.849", "mongoId" : "6a191e7758b93c861e39f729", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Programming skills", "Database management", "Retrieval capabilities", "AI workflows", "Machine learning development", "Curious", "Data management", "Information extraction", "Model training", "ML lifecycle", "Conversational AI", "Document embedding", "Information retrieval", "Multi-agent systems", "RAG-systems", "Vector databases", "Cloud-native architecture", "LangChain", "Databricks", "Microsoft AI Foundry", "MLflow" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "_score" : 840.8424, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308907f292fd229c092727", "title" : "Working Student – Risk Management", "company" : "Vattenfall", "industry" : "Utilities", "salary" : { "min" : 24000.0, "max" : 36000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an entry-level working student in risk management in Berlin, Germany, adjusted for the energy industry and part-time employment." }, "location" : "Berlin, BE, Germany", "locations" : [ "Berlin", "BE", "Germany" ], "timestamp" : "2026-06-16T12:51:54.990", "fingerprint" : "6bc1b67e6c2ae43f53a6198ca5cc1fd3eacb54bfc0fb65159765fad5f0f1eb7c", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Vattenfall/744000132147266-working-student-risk-management-to-support-bu-solar-batteries-in-ba-wind", "externalId" : "744000132147266", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "state" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5033790,13.3386522" } ], "locationText" : "Berlin, Berlin, Germany", "employmentType" : "PART_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "MS Project", "professionalSkills" : [ "Quality Assessment", "Risk Assessment", "Data Quality", "Process Improvement", "Reporting" ], "hardSkillsList" : [ "Version control", "Data validation", "Scheduling", "Stakeholder coordination", "Process documentation" ], "hardSkills" : [ { "name" : "Version control", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Scheduling", "level" : "intermediate" }, { "name" : "Stakeholder coordination", "level" : "intermediate" }, { "name" : "Process documentation", "level" : "intermediate" } ], "majorSkills" : "Risk Management, Quality Assurance, Scheduling, Documentation", "majorSkillsList" : [ "Risk Management", "Quality Assurance", "Scheduling", "Documentation" ], "coreResponsibilities" : "Perform quality checks on risk registers, Perform quality checks on action logs, Perform quality checks on workshop minutes, Perform quality checks on risk manager reports, Validate data quality, Raise data quality issues, Plan risk assessments, Schedule risk assessments, Plan workshops, Schedule workshops, Track open actions, Track due dates, Track escalations, Ensure timely closure, Ensure timely documentation, Maintain templates, Maintain checklists, Maintain processes, Support reporting, Prepare management materials", "teamCollaboration" : "Internal stakeholders; External stakeholders; Project teams; Site teams", "projectManagementSkills" : [ "MS Project" ], "domainKnowledge" : "Hybrid parks; Solar; Batteries; Renewable energy", "domainList" : [ "hybrid-parks", "solar", "batteries", "renewable-energy" ], "domainSpecificKnowledge" : [ "Hybrid parks", "Solar", "Batteries", "Renewable energy" ], "toolProficiency" : [ "SharePoint" ], "communicationSkills" : "Status updates; Risk manager reports", "documentationSkills" : "Risk documentation; Process documentation", "continuousLearning" : "High learning curve", "problemSolvingSkills" : "Quality checks; Data validation", "specialRequirements" : "Occasional travel to sites, Willingness to drive to sites", "qualificationsBasic" : "At least one year to finish study, German language C1 level, Valid Class driving license", "qualificationsPreferred" : "First exposure to risk management, First exposure to quality management, First exposure to audits, First exposure to project controls, Experience with risk registers, Experience with issue trackers, Experience with document control systems, English business fluency, Interest in renewable energy, Interest in solar projects, Interest in battery projects", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Vattenfall is a European energy company with approximately 21 000 employees. For more than 100 years we have electrified industries, supplied energy to people’s homes and modernized our way of living through innovation and cooperation. We are looking for talented individuals who, in addition to their passion for their own role, also have strong team spirit and want to contribute to supporting a meaningful corporate mission. For our Vattenfall Business Control department we are now looking for a Working Student – Risk Management (Quality Check & Risk Assessment Scheduling) to support BU Solar & Batteries in BA Wind for our office in Berlin. Business Area Wind is responsible for Vattenfall’s Onshore and Offshore Wind as well as other non-hydro Renewable activities like Solar and Batteries. Today we develop, construct and operate wind generation in Sweden, Denmark, Germany, the Netherlands and the UK. In addition, we - have a clear strategy to develop our Solar and Batteries operations further. Project Objective: We are looking for a Working Student to support Risk Management activities for hybrid parks (Solar + Battery), with a strong focus on quality assurance of risk documentation and planning/scheduling risk assessments and workshops. As working student in the Controlling Risk Management you will have the following key tasks: Key Responsibilities * Quality Assessment (QA) + Control (QC) * Perform structured quality checks on risk registers, action logs, workshop minutes, and risk manager reports (completeness, consistency, traceability, version control). * Validate data quality (e.g., missing treatment action, logic checks, naming conventions, duplicates) and raise issues proactively. * Risk Assessment Planning & Scheduling * Using MS Project to do Plan and schedule risk assessments/workshops with internal and external stakeholders (calendar coordination, invitations, agendas, logistics, follow-ups). * Track open actions, due dates, and escalation triggers; ensure timely closure and documentation. * Documentation & Process Support * Maintain templates, checklists, and process documentation; continuously improve “Work in Smart”. * Support reporting: weekly/monthly status updates, risk manager report, and preparation of management-ready materials. * On-site support (when needed) * Occasional travel to sites for Hybrid construction site, and workshops/audits and coordination support. Location Berlin ## Qualifications Your profile * Currently enrolled at a university (Bachelor/Master) and at least one or plus years to finish the study in Engineering /Business/ Finance or similar. * German language: C1 level with official certification (e.g., Goethe, telc, TestDaF, DSH) * Driving license: valid Class B driving license and willingness to drive to sites if required. * Strong attention to detail; ability to execute quality checks with a structured mindset. * Good organizational skills: reliable scheduling, follow-ups, and stakeholder coordination. Nice-to-have * First exposure to risk management, quality management, audits, or project controls. * Experience with risk registers, issue trackers, or document control systems (e.g., SharePoint). * English business fluency (for international stakeholders). * Interest in renewable energy / solar / battery projects. ## Additional Information Our offer * Competitive working-student salary aligned with Berlin/Germany market benchmarks (incl. paid vacation and standard working-student benefits).Hands-on experience in risk management and quality processes in green energy projects. * High learning curve, and direct exposure to project and site teams. * Flexible working model aligned with your study schedule (Home office etc.). More Information We welcome your application in ENGLISH including your CV, proof of enrollment, and driving license confirmation. We kindly request that you do not send applications by any means other than via our website as we cannot guarantee that we will be able to process applications that are not made via our website. For more information about the recruitment process you are welcome to contact our recruiter Alexandra Weitkus via alexandramichelle.weitkus@vattenfall.de. At Vattenfall we are convinced that diversity contributes to build a more profitable and attractive company and we strive to be good role model regarding diversity. Vattenfall works actively for all employees to have the same opportunities and rights regardless of gender, ethnicity, age, transgender identity or expression, religion or other belief, disability or sexual orientation. The security of Vattenfall and its employees is essential. For that reason, a pre-employment screening will be part of your recruitment process. The screening is based on the role you will fulfill within Vattenfall. The screening will be performed by a third party, DISA. We look forward to receiving your application!", "summaryDescription" : "Working Student – Risk Management at Vattenfall. Skills: Risk Management, Quality Assurance, Scheduling, Documentation. Perform quality checks on risk registers. Perform quality checks on action logs", "postedDate" : "2026-06-15T09:00:17.000", "createdAt" : "2026-06-16T01:43:09.827", "lastUpdated" : "2026-06-16T12:51:54.990", "ingestTimestamp" : "2026-06-16T01:43:09.827", "mongoId" : "6a308907f292fd229c092727", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Version control", "Data validation", "Scheduling", "Stakeholder coordination", "Process documentation", "Risk Management", "Quality Assurance", "Documentation", "Quality Assessment", "Risk Assessment", "Data Quality", "Process Improvement", "Reporting", "MS Project", "Hybrid parks", "Solar", "Batteries", "Renewable energy", "SharePoint" ], "skillCount" : 19, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 807.3631, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3075d0f292fd229c013c74", "title" : "Revenue Operations Analyst - Working Student", "company" : "Planet", "salary" : { "min" : 20000.0, "max" : 30000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a working student in the technology industry in Berlin, Germany, adjusted for entry-level seniority and part-time employment." }, "location" : "EMEA, Remote", "locations" : [ "EMEA", "Remote", "London", "England", "United Kingdom" ], "timestamp" : "2026-06-16T10:08:23.182", "fingerprint" : "2474f22e56395a4be11b95d996eb69d2a9592b1116bf715ec2b3f49c0d797542", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/planetlabs/jobs/7992927", "externalId" : "7992927", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.5173885,13.3951309" }, { "country" : "Germany", "continent" : "eu", "workMode" : "remote" }, { "country" : "Austria", "continent" : "eu", "workMode" : "remote" }, { "country" : "Slovenia", "continent" : "eu", "workMode" : "remote" }, { "country" : "Netherlands", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Berlin, Germany; Germany; Austria; Slovenia; Netherlands", "employmentType" : "PART_TIME", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: The Working Student will join our dynamic Revenue Operations Team (RevOps) to support the quote-to-cash operations of Planet. In this role, you will support the Sales team by reviewing, structuring, and processing deals to ensure alignment with internal policies and pricing guidelines. You will collaborate with Sales, Customer Success, Finance, Accounting and Legal to facilitate deal approvals and ensure smooth execution of contracts. This position is excellent for students interested in Revenue Operations who want to gain experience in quoting and pricing, contracts, deal proposals, and related. This is a part-time, temporary position working up to 20 hours/week. This is a hybrid position that requires working from our Berlin office 2x/week. Impact You’ll Own: Assist the Sales team in reviewing deal proposals to ensure compliance with pricing, discounting, and contract guidelines. Create and manage quotes in the CRM system (e.g., Salesforce), ensuring accurate pricing and terms before submission for approval. Work closely with Sales, Finance, Legal, and other internal teams to facilitate the deal approval process and resolve any potential roadblocks. Assist with reviewing contracts for accuracy, adherence to terms, and proper approvals before sending to customers for execution. Help maintain accurate deal data in the CRM and support the sales team in navigating deal approvals and processes. Identify areas for improvement within the deal desk process and suggest ways to enhance efficiency and reduce friction for the sales team. What You Bring: Currently enrolled in a full-time program at a university Experience working with large data sets Proficiency in Excel/Google Sheets Ability to communicate in both German and English, the working language of the company Experience proofreading and editing with attention to detail Experience collaborating and working with teams What Makes You Stand Out: Experience in an operations role supporting Sales or Quote-to-Cash processes Experience with tools such as Salesforce, Clari, Gong, ZoomInfo Application Deadline: September 14, 2026 by 11:59p / 23:59 CET (Central European Time) Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. Generous time off including vacation, holidays and company global days off Comprehensive Leave Policies Employee Wellness Program Home Office Reimbursement Monthly benefit to choose from a variety of providers (Urban Sports Club, Groceries, Clothes, Entertainment, Transportation...)* Monthly Phone and Internet Reimbursement Access to LinkedIn Learning Volunteering Benefits San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights. Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking \"Apply Now\" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking \"Apply Now\" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We currently use Metaview to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a \"Planet AI Notetaker\" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e. g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.", "summaryDescription" : "Revenue Operations Analyst - Working Student at Planet", "postedDate" : "2026-06-16T01:16:40.044", "createdAt" : "2026-06-16T01:16:40.044", "lastUpdated" : "2026-06-16T10:08:23.182", "ingestTimestamp" : "2026-06-16T01:16:40.044", "mongoId" : "6a3075d0f292fd229c013c74", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 789.06464, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30601ff292fd229cf85f7f", "title" : "E-Commerce Working Student (gn)", "company" : "The Quality Group GmbH", "industry" : "E-Commerce", "salary" : { "min" : 18000.0, "max" : 24000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an E-Commerce Working Student in Hamburg, Germany, adjusted for entry-level seniority and the food & beverage industry." }, "location" : "Ottensen, Hamburg, Germany", "locations" : [ "Ottensen", "Hamburg", "Germany" ], "timestamp" : "2026-06-16T08:42:15.395", "fingerprint" : "4392505191d6a240c1cb0a8fe2509af24ce6acd0eaaa5c409b6fd50ecf32f05a", "source" : "greenhouse", "language" : "de", "applyUrl" : "https://job-boards.eu.greenhouse.io/thequalitygroupgmbh1/jobs/4896330101", "externalId" : "4896330101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hamburg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "53.5501721,10.0013165" } ], "locationText" : "Hamburg, Germany", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Shopify", "majorSkills" : "E-Commerce, Shop Operations", "majorSkillsList" : [ "E-Commerce", "Shop Operations" ], "coreResponsibilities" : "Support daily shop operations in Shopify, Maintain and update product pages, Update landing pages, Update campaign content, Update shop content, Support optimization of product detail pages, Support optimization of collections, Support optimization of conversion-relevant areas, Test new features, Test campaigns, Test shop adjustments, Ensure quality of features and adjustments, Analyze shop data, Prepare insights for the team, Support development of customer journey, Gain practical experience in D2C E-Commerce", "teamCollaboration" : "Marketing; CRM; Brand; Tech", "domainKnowledge" : "D2C E-Commerce", "domainList" : [ "d2c-e-commerce" ], "domainSpecificKnowledge" : [ "D2C E-Commerce" ], "toolProficiency" : [ "Shopify", "KI applications" ], "qualificationsBasic" : "Studying BWL, E-Commerce, Wirtschaftsinformatik, Marketing or comparable, First practical experience in E-Commerce, First touchpoints with Shopify, Structured, reliable, and careful work, Willingness to implement things yourself and take responsibility, Very good German language skills, Confident communication in English", "qualificationsPreferred" : "Passion for E-Commerce, digital products, and consumer brands", "workSiteFlexibility" : "Flexible", "rawDescription" : "Deine Mission bei uns Du unterstützt unser E-Commerce-Team bei den täglichen Shop Operations in Shopify Du pflegst und aktualisierst Produktseiten, Landingpages, Kampagneninhalte und Shop-Content Du unterstützt bei der Optimierung von Produktdetailseiten, Collections und Conversion-relevanten Bereichen Du testest neue Features, Kampagnen und Shop-Anpassungen und stellst deren Qualität sicher Du analysierst Shop-Daten und bereitest relevante Erkenntnisse für das Team auf Du arbeitest eng mit den Teams aus Marketing, CRM, Brand und Tech zusammen Du unterstützt bei der Weiterentwicklung unserer Customer Journey und sammelst praktische Erfahrung im D2C-E-Commerce Deine Erfahrung & Skills Du studierst BWL, E-Commerce, Wirtschaftsinformatik, Marketing oder einen vergleichbaren Studiengang Du begeisterst dich für E-Commerce, digitale Produkte und Consumer Brands Du hast bereits erste praktische Erfahrungen im E-Commerce gesammelt Du hattest bereits erste Berührungspunkte mit Shopify Du arbeitest strukturiert, zuverlässig und sorgfältig Du hast Spaß daran, Dinge selbst umzusetzen und Verantwortung zu übernehmen Du verfügst über sehr gute Deutschkenntnisse und kannst sicher auf Englisch kommunizieren Du nutzt moderne Tools und KI-Anwendungen selbstverständlich im Arbeitsalltag Warum wir? Bei The Quality Group arbeiten über 1.200 Menschen mit einer gemeinsamen Mission: Ernährung neu zu denken - gesünder, smarter und mit echtem Mehrwert für die Community. Wir glauben an Teamgeist, Eigenverantwortung und den Mut, Grenzen zu verschieben. Dabei zählt jeder Beitrag, unabhängig vom Standort oder Bereich. Je nachdem, wo du bei uns einsteigst, erwarten dich unterschiedliche Benefits, unter anderem: Attraktive Mitarbeiterrabatte auf Produkte von ESN & More Flexible Arbeitszeiten & Homeoffice-Möglichkeiten Zuschüsse zu Mobilität & Fitness ( z. B. Wellpass, Deutschlandticket) Betriebliche Altersvorsorge Workation-Optionen und mehr Im Bewerbungsprozess erfährst du, welche Vorteile dich an deinem Standort konkret erwarten und was es heißt, Teil von TQG zu sein: Ein Unternehmen, das mit Leidenschaft, Qualität und Mut die Zukunft von Ernährung gestaltet. Über uns The Quality Group (TQG) ist ein innovativer Anbieter von Sporternährungsprodukten und vereint seit 2021 die erfolgreichen Marken ESN und More Nutrition. ESN ist seit 2004 deutscher Marktführer für Sporternährung und bietet Produkte wie Proteinpulver, Riegel und Supplements, die auf ambitionierte Fitnessziele ausgerichtet sind. More Nutrition, gegründet 2017, steht für gesunde, zuckerreduzierte Ernährungsprodukte und bietet Lösungen für bewusste Ernährung und Gewichtsmanagement – ohne Verzicht. Die Vision von TQG ist es, Menschen dabei zu unterstützen, die beste Version ihrer selbst zu werden. Mit Leidenschaft und Innovationskraft entwickelt das Unternehmen hochwertige Produkte, die Gesundheit, Leistung und Lebensfreude fördern. Mit einer agilen Unternehmenskultur und spannenden Karrieremöglichkeiten ist TQG nicht nur für Kunden, sondern auch für Mitarbeitende ein starker Partner. Das sind wir – The Quality Group – nice to meet you! Now it’s your turn! Wir freuen uns auf deine Bewerbung! Unabhängig von Geschlecht, Alter, Herkunft oder Identität – bei uns zählt, wer du bist und was du einbringst. Werde Teil unseres Teams und wachse mit uns.", "summaryDescription" : "E-Commerce Working Student (gn) at The Quality Group GmbH. Skills: E-Commerce, Shop Operations. Support daily shop operations in Shopify. Maintain and update product pages", "postedDate" : "2026-06-15T23:24:29.307", "createdAt" : "2026-06-15T23:24:29.307", "lastUpdated" : "2026-06-16T08:42:15.395", "ingestTimestamp" : "2026-06-15T23:24:29.307", "mongoId" : "6a30601ff292fd229cf85f7f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "E-Commerce", "Shop Operations", "D2C E-Commerce", "Shopify", "KI applications" ], "skillCount" : 5, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 785.20605, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca43874d8ee00a09b0be7", "title" : "Commercial Working Student", "company" : "Picnic", "industry" : "E-Commerce", "salary" : { "min" : 20000.0, "max" : 26000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Commercial Working Student in Amsterdam, Netherlands, adjusted for the e-commerce industry and company size." }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands" ], "timestamp" : "2026-06-15T13:33:45.614", "fingerprint" : "b1cdb4dfbf04770d9381efc159a84bbcfed9dacda58ae65c23bb5859d1725439", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.picnic.app/nl/vacancies?gh_jid=5378258", "externalId" : "5378258", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Assortment analysis", "Product development", "International sourcing" ], "hardSkillsList" : [ "Performance analysis", "Price tracking", "Margin improvement" ], "hardSkills" : [ { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Price tracking", "level" : "intermediate" }, { "name" : "Margin improvement", "level" : "intermediate" } ], "majorSkills" : "Brand strategy, Customer acquisition, Campaign management, Growth metrics", "majorSkillsList" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "coreResponsibilities" : "Manage and optimize assortment, Analyze assortment data, Identify growth opportunities, Support range decisions, Analyze performance, Track prices, Improve margins, Involve in product development, Select products, Ensure packaging and branding, Collaborate with category managers, Collaborate with suppliers, Collaborate with design agencies, Analyze assortment strategies, Assist in product tastings, Assist in sourcing efforts, Identify new sourcing opportunities, Support cross-border collaboration", "teamCollaboration" : "Cross-functional exposure; Collaborate with category managers; Collaborate with suppliers; Collaborate with buyers; Collaborate with creatives", "domainKnowledge" : "Product assortment; Private label products; Sustainable business model", "domainList" : [ "product-assortment", "private-label-products", "sustainable-business-model" ], "domainSpecificKnowledge" : [ "Product assortment", "Private label products", "Sustainable business model" ], "continuousLearning" : "Picnic Tech Academy; Lunch & Learn sessions; Tailored soft skills training; Professional language courses", "innovationCreativity" : "Drive own projects", "qualificationsBasic" : "Student at least in 2nd year of bachelor, Education in Business Administration, Education in Economics, Education in Marketing, Available for at least 6 months, Available minimum 3 days p/w, Fluent in English", "qualificationsPreferred" : "Preferably in Dutch", "workSiteFlexibility" : "Flexible", "rawDescription" : "In a nutshell In this role, you’ll be supporting the Commercial team responsible for shaping the product assortment that puts a smile on our customers’ faces \uD83D\uDE0A. As a Commercial Working Student, you’ll have the opportunity to contribute in one of three core teams: Trading, Promo, or Private Label - each offering a unique area of focus and impact. Here’s what you can expect in each team: \uD83D\uDCCATrading Team: You'll help manage and optimize our assortment by diving into assortment data, identifying growth opportunities, and supporting range decisions. You’ll work on performance analysis, price tracking, and margin improvement - directly contributing to the success of Picnic’s product offering. \uD83D\uDECD️Private Label Team: You’ll be involved in the full development process of our private label products. Together with a passionate team, your goal will be to select the best products for the best prices and ensure they have standout packaging and branding. You’ll collaborate with category managers, suppliers, and design agencies to bring high-quality, well-designed products to life. Tricks of the trade Cross-Functional Exposure: Collaborate closely with category managers, suppliers, buyers, and creatives to gain a well-rounded view of the Commercial team and how different functions work together. Assortment Analysis: Support in analyzing assortment strategies to help ensure our product range is data-driven, relevant, and tailored to customer needs. Product Development Support: Assist in product tastings and sourcing efforts to contribute to the selection of top-quality items at the best prices. International Sourcing: Work with international partners and teams to help identify new sourcing opportunities and support cross-border collaboration. Hands-On Experience: Get practical experience in a fast-paced, data-driven environment where ownership, curiosity, and learning by doing are key. Your superpowers Student at least in 2nd year of bachelor (HBO or WO) Education in a relevant field; Business Administration, Economics, Marketing or similar Available for at least 6 months Available a minimum of 3 days p/w Curious, independent, detail-oriented with a proactive mindset Fluent in English and preferably in Dutch Picnic Perks \uD83D\uDE80Every expert was once a beginner! You’ll get plenty of opportunities to challenge yourself and grow, including the Picnic Tech Academy, Lunch & Learn sessions, and tailored soft skills training. We also offer free professional weekly language courses. \uD83C\uDF0DMake a difference You’ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you’ll also be contributing to making the world a better place! \uD83E\uDD1DTeamwork makes the dream work With more than 80 nationalities across 3 countries, you’ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more! \uD83E\uDD57Fresh Lunch, coffee, and snacks Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up. \uD83D\uDCAAStay healthy Mental health is important. As well as having the option to speak with Picnic colleagues who act as confidential advisors, our collaboration with OpenUp gives you easy access to professional psychologists, along with workshops and materials. There are plenty of sports communities and events to get involved with, from tennis to yoga to climbing! \uD83D\uDCB0Attractive package You’ll receive a gross hourly wage of €16,75 (all inclusive), along with a laptop to support your work. Travel costs can also be reimbursed, depending on your location.", "summaryDescription" : "Commercial Working Student at Picnic. Skills: Brand strategy, Customer acquisition, Campaign management, Growth metrics. Manage and optimize assortment. Analyze assortment data", "postedDate" : "2026-06-14T09:31:36.756", "createdAt" : "2026-06-14T09:31:36.756", "lastUpdated" : "2026-06-15T13:33:45.614", "ingestTimestamp" : "2026-06-14T09:31:36.756", "mongoId" : "6a2ca43874d8ee00a09b0be7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Performance analysis", "Price tracking", "Margin improvement", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Assortment analysis", "Product development", "International sourcing", "Product assortment", "Private label products", "Sustainable business model" ], "skillCount" : 13, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 783.53735, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30667af292fd229cfb2180", "title" : "E-Commerce Working Student (gn)", "company" : "The Quality Group", "industry" : "E-Commerce", "salary" : { "min" : 24000.0, "max" : 32000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for an E-Commerce Working Student in Hamburg, Germany, adjusted for entry-level seniority and the food and beverage industry." }, "location" : "Ottensen, Hamburg, Germany", "locations" : [ "Ottensen", "Hamburg", "Germany" ], "timestamp" : "2026-06-16T09:00:55.750", "fingerprint" : "9311ec5a5bcd9d14f24608d9024ca304542a1bf31288dff7a171e3abd490641f", "source" : "greenhouse", "language" : "de", "applyUrl" : "https://job-boards.eu.greenhouse.io/thequalitygroupgmbh2/jobs/4896357101", "externalId" : "4896357101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hamburg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "53.5501721,10.0013165" } ], "locationText" : "Hamburg, Germany", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Shopify", "professionalSkills" : [ "Shop operations", "Content management", "Data analysis" ], "hardSkillsList" : [ "Product page optimization", "Landing page optimization", "Conversion optimization" ], "hardSkills" : [ { "name" : "Product page optimization", "level" : "intermediate" }, { "name" : "Landing page optimization", "level" : "intermediate" }, { "name" : "Conversion optimization", "level" : "intermediate" } ], "majorSkills" : "E-Commerce, Shopify, Content management", "majorSkillsList" : [ "E-Commerce", "Shopify", "Content management" ], "coreResponsibilities" : "Support daily shop operations, Maintain and update product pages, Update landing pages, Update campaign content, Update shop content, Optimize product detail pages, Optimize collections, Optimize conversion-relevant areas, Test new features, Test campaigns, Test shop adjustments, Ensure quality of features, Analyze shop data, Prepare insights for team, Develop customer journey", "teamCollaboration" : "Marketing team; CRM team; Brand team; Tech team", "domainKnowledge" : "D2C E-Commerce", "domainList" : [ "d2c-e-commerce" ], "domainSpecificKnowledge" : [ "D2C E-Commerce" ], "toolProficiency" : [ "Shopify", "KI applications" ], "communicationSkills" : "English communication", "qualificationsBasic" : "Studying BWL, E-Commerce, Wirtschaftsinformatik, Marketing or comparable, First practical experience in E-Commerce, Very good German skills, Fluent English communication", "qualificationsPreferred" : "First touchpoints with Shopify", "workSiteFlexibility" : "Flexible", "rawDescription" : "Deine Mission bei uns Du unterstützt unser E-Commerce-Team bei den täglichen Shop Operations in Shopify Du pflegst und aktualisierst Produktseiten, Landingpages, Kampagneninhalte und Shop-Content Du unterstützt bei der Optimierung von Produktdetailseiten, Collections und Conversion-relevanten Bereichen Du testest neue Features, Kampagnen und Shop-Anpassungen und stellst deren Qualität sicher Du analysierst Shop-Daten und bereitest relevante Erkenntnisse für das Team auf Du arbeitest eng mit den Teams aus Marketing, CRM, Brand und Tech zusammen Du unterstützt bei der Weiterentwicklung unserer Customer Journey und sammelst praktische Erfahrung im D2C-E-Commerce Deine Erfahrung & Skills Du studierst BWL, E-Commerce, Wirtschaftsinformatik, Marketing oder einen vergleichbaren Studiengang Du begeisterst dich für E-Commerce, digitale Produkte und Consumer Brands Du hast bereits erste praktische Erfahrungen im E-Commerce gesammelt Du hattest bereits erste Berührungspunkte mit Shopify Du arbeitest strukturiert, zuverlässig und sorgfältig Du hast Spaß daran, Dinge selbst umzusetzen und Verantwortung zu übernehmen Du verfügst über sehr gute Deutschkenntnisse und kannst sicher auf Englisch kommunizieren Du nutzt moderne Tools und KI-Anwendungen selbstverständlich im Arbeitsalltag Warum wir? Bei The Quality Group arbeiten über 1.200 Menschen mit einer gemeinsamen Mission: Ernährung neu zu denken - gesünder, smarter und mit echtem Mehrwert für die Community. Wir glauben an Teamgeist, Eigenverantwortung und den Mut, Grenzen zu verschieben. Dabei zählt jeder Beitrag, unabhängig vom Standort oder Bereich. Je nachdem, wo du bei uns einsteigst, erwarten dich unterschiedliche Benefits, unter anderem: Attraktive Mitarbeiterrabatte auf Produkte von ESN & More Flexible Arbeitszeiten & Homeoffice-Möglichkeiten Zuschüsse zu Mobilität & Fitness ( z. B. Wellpass, Deutschlandticket) Betriebliche Altersvorsorge Workation-Optionen und mehr Im Bewerbungsprozess erfährst du, welche Vorteile dich an deinem Standort konkret erwarten und was es heißt, Teil von TQG zu sein: Ein Unternehmen, das mit Leidenschaft, Qualität und Mut die Zukunft von Ernährung gestaltet. Über uns The Quality Group (TQG) ist ein innovativer Anbieter von Sporternährungsprodukten und vereint seit 2021 die erfolgreichen Marken ESN und More Nutrition. ESN ist seit 2004 deutscher Marktführer für Sporternährung und bietet Produkte wie Proteinpulver, Riegel und Supplements, die auf ambitionierte Fitnessziele ausgerichtet sind. More Nutrition, gegründet 2017, steht für gesunde, zuckerreduzierte Ernährungsprodukte und bietet Lösungen für bewusste Ernährung und Gewichtsmanagement – ohne Verzicht. Die Vision von TQG ist es, Menschen dabei zu unterstützen, die beste Version ihrer selbst zu werden. Mit Leidenschaft und Innovationskraft entwickelt das Unternehmen hochwertige Produkte, die Gesundheit, Leistung und Lebensfreude fördern. Mit einer agilen Unternehmenskultur und spannenden Karrieremöglichkeiten ist TQG nicht nur für Kunden, sondern auch für Mitarbeitende ein starker Partner. Das sind wir – The Quality Group – nice to meet you! Now it’s your turn! Wir freuen uns auf deine Bewerbung! Unabhängig von Geschlecht, Alter, Herkunft oder Identität – bei uns zählt, wer du bist und was du einbringst. Werde Teil unseres Teams und wachse mit uns.", "summaryDescription" : "E-Commerce Working Student (gn) at The Quality Group. Skills: E-Commerce, Shopify, Content management. Support daily shop operations. Maintain and update product pages", "postedDate" : "2026-06-15T23:23:51.848", "createdAt" : "2026-06-15T23:23:51.848", "lastUpdated" : "2026-06-16T09:00:55.750", "ingestTimestamp" : "2026-06-15T23:23:51.848", "mongoId" : "6a30667af292fd229cfb2180", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Product page optimization", "Landing page optimization", "Conversion optimization", "E-Commerce", "Shopify", "Content management", "Shop operations", "Data analysis", "D2C E-Commerce", "KI applications" ], "skillCount" : 10, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 775.03827, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.92 }, { "id" : "6a3056c3f292fd229cf2e4f1", "title" : "Working Student Launch Vehicle AIT", "company" : "Isar Aerospace SE", "industry" : "Manufacturing", "salary" : { "min" : 26000.0, "max" : 34000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level working student in the aerospace industry in Ottobrunn, Germany, adjusted for company size and specific role." }, "location" : "Ottobrunn, Bavaria, Germany", "locations" : [ "Ottobrunn", "Bavaria", "Germany" ], "timestamp" : "2026-06-16T08:46:12.272", "fingerprint" : "36c8b556000175f8958ff1e2d86ba10cba3fe44a8601d4f32cf39f6a4efcbc21", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/isaraerospace/jobs/4889198101", "externalId" : "4889198101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ottobrunn", "state" : "Bavaria", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.0648406,11.6647814" } ], "locationText" : "Ottobrunn, Bavaria, Germany", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "technicalSkills" : "CAD", "professionalSkills" : [ "Problem-solving", "Analytical skills" ], "hardSkillsList" : [ "CAD implementation", "GSE modification", "Process optimization" ], "hardSkills" : [ { "name" : "CAD implementation", "level" : "intermediate" }, { "name" : "GSE modification", "level" : "intermediate" }, { "name" : "Process optimization", "level" : "intermediate" } ], "majorSkills" : "AIT Engineering, GSE Design, Process Improvement", "majorSkillsList" : [ "AIT Engineering", "GSE Design", "Process Improvement" ], "coreResponsibilities" : "Conceptualize ground support equipment, Implement ground support equipment, Modify existing GSE, Optimize existing GSE, Support AIT Engineering team, Prepare work instructions, Assist AIT Management, Implement AIT flows, Implement AIT processes, Create templates, Create processes, Optimize AIT workflows, Assist with troubleshooting, Investigate anomalies", "teamCollaboration" : "Multidisciplinary teams", "projectManagementSkills" : [ "Drive projects to completion" ], "domainKnowledge" : "Launch vehicle AIT; Ground support equipment; Launcher assembly; Launcher integration; Space industry", "domainList" : [ "launch-vehicle-ait", "ground-support-equipment", "launcher-assembly", "launcher-integration", "space-industry" ], "domainSpecificKnowledge" : [ "Launch vehicle AIT", "Ground support equipment", "Launcher assembly", "Launcher integration", "Space industry" ], "toolProficiency" : [ "CAD software" ], "communicationSkills" : "English fluency", "documentationSkills" : "Work instructions", "continuousLearning" : "Steep learning curve", "problemSolvingSkills" : "Problem-solving; Analytical skills; Troubleshooting anomalies", "outcomesObjectives" : "Improve processes; Improve workflows; Improve equipment", "qualificationsBasic" : "Proficient in CAD software, Fluent in English", "qualificationsPreferred" : "Mechanical engineering degree, Aerospace engineering degree, Structural engineering degree", "workSiteFlexibility" : "Flexible", "rawDescription" : "Mission Brief We are seeking a talented and highly motivated working student to join our Assembly, Integration, and Test Engineering team (AIT Engineering) in Munich. In this role, you will support all launch vehicle AIT engineering activities as well as independently working on specific projects to improve our processes, workflows and various equipment. You can expect a steep learning curve and the opportunity to make a meaningful impact to the European space industry. Your Role in Our Space Mission: Conceptual design and CAD implementation of ground support equipment (GSE) and jigs for launcher assembly and integration. Modification and optimization of existing GSE and jigs. Support the AIT Engineering team with the preparation of work instructions. Assist AIT Management in the implementation of AIT flows and processes. Create templates and processes to optimize AIT workflows. Assist with troubleshooting and investigating anomalies in various AIT operations and equipment. Qualification Checklist Strong can-do attitude with excellent problem-solving and analytical skills. Currently pursuing a degree in Mechanical, Aerospace, Structural Engineering or a related field. Proficient in CAD software. Able to work independently as well as collaboratively within multidisciplinary teams. Comfortable in a flexible, fast-paced environment. Demonstrated ownership and ability to independently drive projects to completion. Strong communication skills and fluent in English. Benefits Subsidised lunch: Stay energised with delicious, subsidised lunches every day Public transport ticket: Commute with ease using a fully financed Deutschlandticket Sport Clubs membership: Stay fit with our sponsored sports club memberships (EGYM Wellpass) Free snacks and drinks: Indulge in a variety of free snacks and beverages to keep you fuelled throughout the day Physical and mental well-being: Access via OpenUp the online support from certified psychologists and lifestyle experts at no cost to you and your family And Much More! Discover additional perks and benefits when you join our team. Who we are We are Isar Aerospace and we are at the forefront of New Space building a modern space business to enable faster, better and cheaper access to space. Our mission is to help democratise space and use it for good in order to improve life on Earth now and for the future generations. We are a fast-growing company aiming to provide sustainable and environmentally friendly launch solutions for small and medium-sized satellites and constellations into Low Earth Orbit. The company is privately funded by world-leading technology investors with strong commitment and support and our team is made of driven and talented people with a real passion for space innovation. We're making rockets in a way that hasn't been done before disrupting a traditional industry. If you are up for the challenge, want to work on cutting-edge projects and be part of a team changing the world for better, come, join us and launch your career! Want to find out more about us? Visit www.isaraerospace.com Data Protection We process your personal data for the purpose of managing the recruitment process and assessing your application. For detailed information on how your data is processed, including your rights, please refer to our Privacy Policy. Disclaimer Isar Aerospace SE is an equal-opportunity employer committed to fairness and inclusivity. We do not prioritize any specific religion, gender, nationality, or background. Due to security clearance requirements, affiliations with countries listed under § 13 para. 1 no. 17 SÜG may affect the application process. All qualified applicants are encouraged to apply. We use Metaview to record interview audio so our team can review it later and stay focused during the conversation. We will record interviews only if you opt in. Please note that we will request your consent separately during the interview process. Participation is completely voluntary and will not affect your application in any way. For more information on how we process your personal data, please see our Privacy Policy.", "summaryDescription" : "Working Student Launch Vehicle AIT at Isar Aerospace SE. Skills: AIT Engineering, GSE Design, Process Improvement. Conceptualize ground support equipment. Implement ground support equipment", "postedDate" : "2026-06-15T23:20:10.826", "createdAt" : "2026-06-15T23:20:10.826", "lastUpdated" : "2026-06-16T08:46:12.272", "ingestTimestamp" : "2026-06-15T23:20:10.826", "mongoId" : "6a3056c3f292fd229cf2e4f1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "CAD implementation", "GSE modification", "Process optimization", "AIT Engineering", "GSE Design", "Process Improvement", "Problem-solving", "Analytical skills", "Drive projects to completion", "Launch vehicle AIT", "Ground support equipment", "Launcher assembly", "Launcher integration", "Space industry", "CAD software" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 774.85114, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2eb80a74d8ee00a0e85e9f", "title" : "Working student", "company" : "NIBC", "industry" : "Banking", "salary" : { "min" : 14000.0, "max" : 22000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for entry-level working students in the banking industry in the Netherlands, adjusted for part-time employment." }, "location" : "Netherlands", "locations" : [ "Netherlands" ], "timestamp" : "2026-06-16T01:02:20.989", "fingerprint" : "5329595afb2687c533b50209eb8921e3686f4579a32d6d937a9204c3a717a59e", "source" : "workday", "language" : "en", "applyUrl" : "https://nibcatwork.wd3.myworkdayjobs.com/External/job/The-Hague/Working-student-Agentic-AI_R0001740", "externalId" : "R0001740", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Netherlands", "employmentType" : "PART_TIME", "technicalSkills" : "Microsoft Copilot Studio, Power Automate", "hardSkillsList" : [ "Process automation", "Agentic process development" ], "hardSkills" : [ { "name" : "Process automation", "level" : "intermediate" }, { "name" : "Agentic process development", "level" : "intermediate" } ], "majorSkills" : "AI Agentic Automation, Low-code/No-code", "majorSkillsList" : [ "AI Agentic Automation", "Low-code/No-code" ], "coreResponsibilities" : "Explore agentic processes, Design agentic processes, Build agentic processes, Create AI agents, Configure AI agents, Design automated processes, Streamline repetitive tasks, Experiment with no-code/low-code solutions, Prototype agentic processes, Deploy agentic processes, Document agent workflows, Document best practices, Contribute ideas for automation", "teamCollaboration" : "Internal experts in data engineering, analytics, AI, and automation", "domainKnowledge" : "Agentic AI; AI automation", "domainList" : [ "agentic-ai", "ai-automation" ], "domainSpecificKnowledge" : [ "Agentic AI", "AI automation" ], "documentationSkills" : "Document agent workflows; Document best practices", "innovationCreativity" : "Contribute ideas for innovative ways to apply automation", "problemSolvingSkills" : "Analytical", "outcomesObjectives" : "Improve operational efficiency; Increase productivity; Improve user experience", "qualificationsBasic" : "Pursuing a degree in Computer Science, Information Management, AI, Data Science, Engineering, or related", "qualificationsPreferred" : "Experience with Power Automate, Copilot Studio, or similar tools is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Summary: AI Agentic Automation – Low-Code / No-Code. Job Description: _**What will you do?**_ As an AI Agentic Automation working student within the Data & Analytics department, you will help explore, design, and build agentic processes that improve operational efficiency across the organization. You will gain hands-on experience with low-code and no-code tools such as Microsoft Copilot Studio, Power Automate, and other automation platforms. Examples include: * Creating and configuring AI agents to support internal procedures and data-driven workflows; * Designing automated processes that streamline repetitive tasks for various teams and departments; * Experimenting with no-code/low-code solutions to rapidly prototype and deploy agentic process enhancements; * Documenting agent workflows and best practices to ensure smooth adoption and scalability; * Contributing ideas for innovative ways to apply automation to increase productivity and improve user experience. _**Your team**_ You will join a driven and close-knit team focused on collaboration and growth. You will be guided by internal experts in data engineering, analytics, AI, and automation, who will support you in your exploration of agentic process development. **_NIBC as an IT employer_** NIBC IT consists out of several domains and together NIBC IT aims to be one of the driving forces behind the digital transformation of our bank, an ongoing process that will profoundly change the relationship with our clients and the way we do business. We are closely connected and have short lines of communication. If you have a good idea today, you may be elaborating it tomorrow. IT is forever changing and so is NIBC and in order for us to be able to keep on changing, we need sophisticated individuals to help us lead the bank into the future. ** _NIBC as organization_** Founded in 1945 to finance the visionary entrepreneurs who helped rebuilding the Netherlands after the second World War, NIBC was closely collaborating while professionally supporting companies and individuals in realizing their dreams and goals with a sustainable future in mind. As a multicultural midsize bank with a working environment that is best described as dynamic and ambitious, we share a forward-thinking, can-do attitude with our employees and clients which we call our THINK YES mentality. Our corporate values are Professional, Adaptive, Collaborative and Entrepreneurial. You will have a direct and meaningful impact on both the bank and its clients. By building our company on optimism and mutual trust, and with our THINK YES mentality, NIBC is an enterprising bank that enables ambitions. _**What do you bring?**_ * An ambitious intern who is eager to explore AI-driven automation and develop agentic solutions that enhance organizational efficiency; * You are pursuing a degree in Computer Science, Information Management, AI, Data Science, Engineering, or a related field; * You have an affinity for low-code/no-code development, process automation, or AI workflows; * You are proactive, analytical, and curious about how automation can improve everyday work; * Experience with Power Automate, Copilot Studio, or similar tools is a plus — but not required. **_Still intrigued?_** Click the apply button now! To upload multiple documents, click the upload button again after uploading a document. An assessment may be part of the application procedure. For more information about the recruitment procedure or NIBC as employer you may contact our HR Servicedesk via [AskHR@nibc.com](mailto:AskHR@nibc.com) _Applications via email will not be taken into consideration._", "summaryDescription" : "Working student at NIBC. Skills: AI Agentic Automation, Low-code/No-code. Explore agentic processes. Design agentic processes", "postedDate" : "2026-06-12T21:16:31.094", "createdAt" : "2026-06-14T21:16:31.052", "lastUpdated" : "2026-06-16T01:02:20.989", "ingestTimestamp" : "2026-06-14T21:16:31.052", "mongoId" : "6a2eb80a74d8ee00a0e85e9f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://nibcatwork.wd3.myworkdayjobs.com/External/job/The-Hague/Working-student-Agentic-AI_R0001740", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Process automation", "Agentic process development", "AI Agentic Automation", "Low-code/No-code", "Agentic AI", "AI automation" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 762.4633, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Banking", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2ca43a74d8ee00a09b0d0e", "title" : "Talent Acquisition - Working Student", "company" : "Picnic", "industry" : "Logistics", "salary" : { "min" : 16.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands" ], "timestamp" : "2026-06-16T01:58:54.689", "fingerprint" : "460dcd870ad95b3588d7fc294c64d013c711e6d939163d281baef69ce0c00852", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.picnic.app/nl/vacancies?gh_jid=6020061", "externalId" : "6020061", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "PART_TIME", "professionalSkills" : [ "Talent sourcing", "Recruitment initiatives", "Talent pipelines", "Recruitment outcomes" ], "hardSkillsList" : [ "LinkedIn Search" ], "hardSkills" : [ { "name" : "LinkedIn Search", "level" : "intermediate" } ], "majorSkills" : "Talent Acquisition, Recruiting, Sourcing", "majorSkillsList" : [ "Talent Acquisition", "Recruiting", "Sourcing" ], "coreResponsibilities" : "Support recruitment team with events, Support recruitment team with sourcing, Support recruitment team with initiatives, Understand specific requirements for open positions, Actively look for potential candidates, Approach candidates to explore opportunities, Support team with creative strategies, Build talent pipelines, Bring fresh ideas to talent pipeline processes, Provide input to enhance talent pipeline processes, Improve overall recruitment outcomes, Recruit for Business Course event", "teamCollaboration" : "Work closely with recruiters; Work with internal teams", "toolProficiency" : [ "Greenhouse ATS" ], "communicationSkills" : "Verbal communication; Written communication", "continuousLearning" : "Picnic Tech Academy; Lunch & Learn sessions; Tailored soft skills training; Professional language courses", "specialRequirements" : "16-20 hours a week", "qualificationsBasic" : "Currently pursuing studies in Psychology, HRM, Business Administration or similar, Prior internships or working-student experience, Excellent verbal and written communication skills in English", "qualificationsPreferred" : "Prior experience in active sourcing or recruiting, Familiarity with Greenhouse ATS, Dutch, German or French language skills", "workSiteFlexibility" : "Flexible", "rawDescription" : "In a nutshell Our Recruitment team plays a crucial role in finding top talent worldwide and persuading them to join Picnic. If you have excellent communication skills, thrive on identifying the right profiles, and know how to get candidates excited about unique challenges, we want to hear from you! Understanding the profiles we seek is key, as finding the right people is vital to our success. As a working student, you get the opportunity to join our Recruitment team - helping with events, sourcing, and recruitment initiatives! We are looking for someone who can support our team for at least 16-20 hours a week (the more the merrier). Tricks of the trade Collaboration: You'll work closely with our recruiters and various internal teams to understand the specific requirements for open positions Sourcing: Using LinkedIn Search and other search techniques, you'll actively look for potential candidates and approach them to explore opportunities at Picnic Strategy: You'll support the team with creative strategies that help build the talent pipelines with unique talent Innovation: You'll bring fresh ideas and provide valuable input to enhance our talent pipeline processes and improve overall recruitment outcomes For example, every year at Picnic we organize a Business Course event for potential Analyst candidates (see video here). In 2026, it could be YOU the one recruiting for it, together with the support of our Analytics Recruitment team. Your superpowers You are currently pursuing studies in Psychology, HRM, Business Administration or similar fields You have prior internships or working-student experience, preferably in active sourcing or recruiting You are ambitious and dare to generate and share cool ideas all the time Excellent verbal and written communication skills in English and preferably also Dutch, German or French You are a team player with strong organizational skills and attention to detail At Picnic, we use Greenhouse as our ATS. It's great if you're familiar with it or if you're curious to learn! Picnic Perks \uD83D\uDE80Every expert was once a beginner! You’ll get plenty of opportunities to challenge yourself and grow, including the Picnic Tech Academy, Lunch & Learn sessions, and tailored soft skills training. We also offer free professional weekly language courses. \uD83C\uDF0DMake a difference You’ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you’ll also be contributing to making the world a better place! \uD83E\uDD1DTeamwork makes the dream work With more than 80 nationalities across 3 countries, you’ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more! \uD83E\uDD57Fresh Lunch, coffee, and snacks Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up. \uD83D\uDCAAStay healthy Mental health is important. As well as having the option to speak with Picnic colleagues who act as confidential advisors, our collaboration with OpenUp gives you easy access to professional psychologists, along with workshops and materials. There are plenty of sports communities and events to get involved with, from tennis to yoga to climbing! \uD83D\uDCB0Attractive package You’ll receive a gross hourly wage of €16,75 (all inclusive) along with a laptop and phone to support your work. Travel costs can also be reimbursed, depending on your location.", "summaryDescription" : "Talent Acquisition - Working Student at Picnic. Skills: Talent Acquisition, Recruiting, Sourcing. Support recruitment team with events. Support recruitment team with sourcing", "postedDate" : "2026-06-14T20:08:15.287", "createdAt" : "2026-06-14T20:08:15.287", "lastUpdated" : "2026-06-16T01:58:54.689", "ingestTimestamp" : "2026-06-14T20:08:15.287", "mongoId" : "6a2ca43a74d8ee00a09b0d0e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "LinkedIn Search", "Talent Acquisition", "Recruiting", "Sourcing", "Talent sourcing", "Recruitment initiatives", "Talent pipelines", "Recruitment outcomes", "Greenhouse ATS" ], "skillCount" : 9, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 751.55383, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2d465274d8ee00a0b4e6eb", "title" : "Working Student, Onboarding Specialist", "company" : "Planet", "industry" : "SaaS", "salary" : { "min" : 24000.0, "max" : 36000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Working Student in the Technology industry in Berlin, Germany, adjusted for part-time employment." }, "location" : "Berlin Office", "locations" : [ "Berlin Office" ], "timestamp" : "2026-06-16T01:58:30.625", "fingerprint" : "465a0ca62e59e834b23588ee2b1e4297cbf0b8dfadde9e5fc58a2899bb095db5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/planetlabs/jobs/7992931", "externalId" : "7992931", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "employmentType" : "PART_TIME", "coreResponsibilities" : "Manage customer relationships, Drive customer retention, Ensure customer satisfaction, Facilitate customer value realization", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: Planet is looking for an Onboarding Specialist Working Student to support onboarding programs that help customers successfully adopt and use Planet data, platforms, and workflows. In this role, you will support customer onboarding activities, assist with training sessions and communications, and help maintain resources that enable customers to quickly realize value from Planet products. You will work closely with the Onboarding Specialist, as well as Customer Success, Support, Education, and Solutions teams to support onboarding delivery across customer segments. This role combines customer-facing coordination with operational support and content maintenance to help ensure a smooth and consistent onboarding experience. This role sits within the Planet Education & Enablement team. This is a part-time, hybrid role which will require you to work from our Berlin office 2 days per week. Impact You’ll Own: Support customer onboarding activities, including scheduling, communications, and onboarding follow-ups Assist with the delivery of onboarding sessions and customer training programs for Planet products, platforms, and workflows Partner with Sales, Technical Support, Customer Success, and Solutions teams to help ensure smooth onboarding experiences for new customers Maintain and update onboarding resources, guides, and customer-facing materials across onboarding and education platforms Support onboarding communications and campaigns to encourage customer engagement and adoption Track onboarding feedback, common customer questions, and support trends to help identify opportunities for content and process improvements Help maintain consistent onboarding workflows and processes across customer engagements Assist with operational coordination for global onboarding activities across customer time zones What You Bring: Currently enrolled in a Bachelor’s or Master’s degree program in a relevant field Solid communication skills with the ability to explain complex concepts clearly to both technical and non-technical audiences Interest in customer onboarding, customer education, technical enablement, or customer success Familiarity with APIs, developer tools, or technical products Ability to learn new technical products and workflows quickly Technical aptitude, including comfort navigating technical documentation and troubleshooting common workflow issues Solid organizational skills and attention to detail in a fast-paced environment Comfort working cross-functionally with customer-facing and technical teams Experience coordinating projects, trainings, meetings, or customer-facing activities through coursework, internships, student organizations, or previous work experience What Makes You Stand Out: Experience working with geospatial, remote sensing, or scientific data products Familiarity with coding languages esp Python Familiarity with Learning Management Systems (LMS), customer education platforms, or help centers Exposure to onboarding automation, lifecycle communications, or customer engagement tools Experience supporting technical or developer-focused customers Fluency in multiple languages Application Deadline: September 10, 2026 by 11:59p / 23:59 CET (Central European Time) Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. Generous time off including vacation, holidays and company global days off Comprehensive Leave Policies Employee Wellness Program Home Office Reimbursement Monthly benefit to choose from a variety of providers (Urban Sports Club, Groceries, Clothes, Entertainment, Transportation...)* Monthly Phone and Internet Reimbursement Access to LinkedIn Learning Volunteering Benefits San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights. Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking \"Apply Now\" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking \"Apply Now\" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We currently use Metaview to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a \"Planet AI Notetaker\" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e. g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.", "summaryDescription" : "Working Student, Onboarding Specialist at Planet. Manage customer relationships. Drive customer retention", "postedDate" : "2026-06-14T21:00:43.353", "createdAt" : "2026-06-14T21:00:43.353", "lastUpdated" : "2026-06-16T01:58:30.625", "ingestTimestamp" : "2026-06-14T21:00:43.353", "mongoId" : "6a2d465274d8ee00a0b4e6eb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 750.0842, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c759574d8ee00a09378a0", "title" : "Applied AI Engineer", "company" : "Redis", "industry" : "Customer Org", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Applied AI Engineer in San Francisco, adjusted for company size and industry." }, "location" : "HQ (San Francisco)", "locations" : [ "HQ (San Francisco)" ], "timestamp" : "2026-06-16T00:58:19.099", "fingerprint" : "15e43b91fc574dcc15e14709a0de230ea02b9161e62c9a2de068ebac84f1e4ff", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/redis/11c6ae5c-d184-41a9-8b5e-d964e0c65867/application", "externalId" : "11c6ae5c-d184-41a9-8b5e-d964e0c65867", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, JS, C/C++, Go, Java, Redis AI", "professionalSkills" : [ "Customer engineering", "Software development" ], "hardSkillsList" : [ "MLOps", "AI/ML models" ], "hardSkills" : [ { "name" : "MLOps", "level" : "intermediate" }, { "name" : "AI/ML models", "level" : "intermediate" } ], "majorSkills" : "Applied AI, Customer success, MLOps", "majorSkillsList" : [ "Applied AI", "Customer success", "MLOps" ], "coreResponsibilities" : "Help customers succeed building AI applications, Write demo applications, Delve deep in core Redis AI technology, Contribute to AI ecosystem integrations, Develop and maintain projects, Provide consultation during sales calls, Participate in sales meetings, Participate in enablement events", "domainKnowledge" : "RAG applications; AI agents; Vector Databases; LLMs; AI systems", "domainList" : [ "rag-applications", "ai-agents", "vector-databases", "llms", "ai-systems" ], "domainSpecificKnowledge" : [ "RAG applications", "AI agents", "Vector Databases", "LLMs", "AI systems" ], "continuousLearning" : "Learning and development opportunities", "innovationCreativity" : "Innovation", "qualificationsBasic" : "5 years of professional programming experience in Python, 2 years of experience working on ML systems, Ability to independently learn new codebases", "qualificationsPreferred" : "Prior contributions to Langchain, Prior contributions to LlamaIndex, Prior contributions to Semantic Kernel, Prior contributions to Redis-related projects, Prior contributions to Feast, Knowledge of RAG patterns, Knowledge of semantic caching, Knowledge of feature storage, Knowledge of embedding generation, Passion for Vector Databases, Passion for LLMs, Passion for AI systems", "workSiteFlexibility" : "Flexible", "rawDescription" : "Who we are We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in? Why would you love this job? We are seeking a highly skilled and motivated Senior Applied AI Engineer to join our small but efficient Applied AI Engineering Team. As a part of this team, you will play a crucial role in helping our customers succeed with AI, writing demo applications, delving deep in core Redis AI technology, and contributing to AI ecosystem integrations. This position requires a strong focus on customer engineering (80%) and some software development (20%). What you’ll do: · Help our customers succeed in building AI applications with Redis. Our customers are building chatbots, RAG applications, and AI agents, and they need your expertise. · Develop and maintain projects primarily written in Python, with possible involvement in JS, C/C++, Go, or Java depending on your skillset. · Occasionally provide consultation during sales calls, leveraging your expertise in AI. · Occasionally participate in sales meetings, enablement, and other events as a subject matter expert. What will you need to have? · Minimum of 5 years of professional programming experience in Python or a comparable language. · At least 2 years of experience working on ML systems (MLOps), or utilizing AI/ML models. · Willingness to admit when you don’t know something and actively seek opportunities for learning and growth. · Passion for building libraries and systems · Ability to independently learn and navigate new codebases · Ownership mentality, going above and beyond what is required because you genuinely enjoy this type of work. · Excitement about working on projects that are Open Source and/or accessible to the world. · Enjoyment of working in a fast-paced environment with multiple projects to juggle simultaneously. Extra nice if you have: · Prior contributions to projects like Langchain, LlamaIndex, Semantic Kernel, Redis-related projects, or MLOps systems for feature orchestration like Feast. · Knowledge of patterns such as RAG, semantic caching, feature storage and embedding generation. · A strong passion for Vector Databases, LLMs, or AI systems in general. The estimated gross base annual salary range for this role is $175,822 – $263,822 per year in New York, California, Washington, Colorado, and Rhode Island. Actual compensation may vary and is dependent on various factors, including a candidate’s work location, qualifications, experience, and competencies. Base annual salary is one component of Redis’ total compensation and competitive benefits package, which may include 401(k), unlimited time off, learning and development opportunities, and comprehensive health and wellness benefits. This role may include discretionary bonuses, stock options, commuter benefits based on location, or a commission plan. Salary history is not used in compensation package decisions. Redis utilizes market pay data to determine compensation, so posted compensation ranges are subject to change as new market data becomes available. As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected. Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to recruiting@redis.com. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law. Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws. Redis reserves the right to retain data longer than stated in the privacy policy https://redis.com/legal/privacy-policy/ in order to evaluate candidates.", "summaryDescription" : "Applied AI Engineer at Redis. Skills: Applied AI, Customer success, MLOps. Help customers succeed building AI applications. Write demo applications", "createdAt" : "2026-06-14T20:11:25.089", "lastUpdated" : "2026-06-16T00:58:19.099", "ingestTimestamp" : "2026-06-14T20:11:25.089", "mongoId" : "6a2c759574d8ee00a09378a0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "MLOps", "AI/ML models", "Applied AI", "Customer success", "Customer engineering", "Software development", "RAG applications", "AI agents", "Vector Databases", "LLMs", "AI systems" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 738.8825, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305432f292fd229cf1689b", "title" : "Account Executive (Nordics) - Sales Solutions", "company" : "LinkedIn", "industry" : "Internet", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Account Executive in Dublin, Ireland, adjusted for mid-seniority and SaaS industry." }, "location" : "Dublin, D, IE", "locations" : [ "Dublin", "D", "IE" ], "timestamp" : "2026-06-16T07:12:16.781", "fingerprint" : "9901aeaddab5ea9e007c5f5734feb7efb3cb8e786f255391b397488c7f266438", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LinkedIn3/744000132133704-account-executive-nordics-sales-solutions", "externalId" : "744000132133704", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dublin", "country" : "Ireland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "53.3493795,-6.2605593" } ], "locationText" : "Dublin, Ireland", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "professionalSkills" : [ "Sales leadership", "Revenue attainment", "Forecasting", "Pipeline management", "Strategic selling" ], "majorSkills" : "Sales Solutions, Sales Navigator", "majorSkillsList" : [ "Sales Solutions", "Sales Navigator" ], "coreResponsibilities" : "Drive revenue by connecting with customers, Build opportunities for success, Demonstrate sales leadership, Plan sales activities, Forecast sales, Report revenue, Manage pipeline, Use Sales Navigator effectively, Leverage skills to evolve solutions, Leverage customer experience to evolve sales process, Act as owner on book-of-business, Meet revenue goals, Exceed revenue objectives, Adapt best practices, Develop best practices, Apply best practices, Circulate best practices, Champion Diversity and Inclusion values", "domainKnowledge" : "Deep Sales approach", "domainList" : [ "deep-sales-approach" ], "domainSpecificKnowledge" : [ "Deep Sales approach" ], "toolProficiency" : [ "Sales Navigator" ], "outcomesObjectives" : "Consistently meet business objectives; Exceed business objectives; Consistently meet revenue objectives; Exceed revenue objectives", "qualificationsBasic" : "2 years of applicable sales experience, Fluency in English", "qualificationsPreferred" : "Fluency in a Nordic language, Sales experience selling into Nordic markets, Track record selling SaaS solutions, Proven ability to work to a quota, Demonstrated ability to find, manage, and close high-level business sales, Ability to assess business opportunities, Ability to predictably forecast, Ability to use insights and data-driven decisions, Ability to build trust-based relationships, Ability to bring together multiple buyers", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. This role will be based in Dublin. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn’s Sales Solutions team is dedicated to changing the world of sales. We are supporting customers in developing a Deep Sales approach focusing their sales efforts where they will have the most impact. We do this through LinkedIn Sales Navigator, which helps connect, engage and build mutually beneficial relationships between buyers and sellers at the right time. As Account Executive, you will develop and manage a strong pipeline of new prospects, manage the acquisition process from end to end, and demonstrate strong revenue attainment and forecasting skills. As an Account Executive, you will use your strategic selling skills to educate prospective customers in the Nordic market on the benefits and value of LinkedIn Sales Navigator. You will serve as a trusted adviser, share insights and continually seek opportunities for growth to make your customers as strong and successful as possible. Responsibilities: * Drive revenue by connecting with customers and building opportunities that will make all parties more successful * Demonstrate sales leadership through strong planning, forecasting, revenue reporting and pipeline management * Be a best-in-class Sales Navigator user and leader on top performing sales habits * Leverage your skills and your customers’ experience to continually evolve our solution offerings and the sales process * Act as an owner on your book-of-business and revenue goals * Consistently meet and exceed the business and revenue objectives set forth in your plan * Adapt but also work to develop, apply, and circulate a set of best practices that will be the foundation of this growing team * Champion LinkedIn’s Diversity and Inclusion values and culture ## Qualifications Basic Qualifications: * 2 years of applicable sales experience * Fluency in English Preferred Qualifications: * Fluency in a Nordic language; Swedish, Danish, Finnish or Norwegian * Sales experience selling into Nordic market(s) * Track record selling SaaS solutions, CRM platforms or software platform solutions * Proven ability to work to a quota and achieve results * Demonstrated ability to find, manage and close high-level business sales * Ability to assess business opportunities and read prospective buyers * Ability to predictably forecast and execute on business goals * Ability to use insights and data-driven decisions in the sales process * Ability to effectively build trust-based relationships with senior-level sales professionals * Ability to bring together multiple buyers in the same company to build groundswell while * Leveraging partners within LinkedIn to effectively evangelize the solution Suggested skills: * Prospecting * Negotiation * Analytics & Forecasting * Relationship Building * Multithreading ## Additional Information Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.", "summaryDescription" : "Account Executive (Nordics) - Sales Solutions at LinkedIn. Skills: Sales Solutions, Sales Navigator. Drive revenue by connecting with customers. Build opportunities for success", "postedDate" : "2026-06-15T07:53:04.000", "createdAt" : "2026-06-15T23:31:19.732", "lastUpdated" : "2026-06-16T07:12:16.781", "ingestTimestamp" : "2026-06-15T23:31:19.732", "mongoId" : "6a305432f292fd229cf1689b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Sales Solutions", "Sales Navigator", "Sales leadership", "Revenue attainment", "Forecasting", "Pipeline management", "Strategic selling", "Deep Sales approach" ], "skillCount" : 8, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 733.31396, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6cc774d8ee00a091b4b8", "title" : "Working Student B2B Marketing", "company" : "Zattoo", "industry" : "Media", "salary" : { "min" : 36000.0, "max" : 48000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Working Student in Media in Berlin, Germany, adjusted for company size and industry." }, "location" : "Berlin, Berlin, Germany", "locations" : [ "Berlin", "Berlin", "Germany" ], "timestamp" : "2026-06-16T01:53:30.027", "fingerprint" : "034972107633a4eef737069dbb5734a099981cfdfa7ad07ce91f1e120de1401d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://zattoo.com/de/en/company/jobs/info/?gh_jid=4799003101", "externalId" : "4799003101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "state" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5033790,13.3386522" } ], "locationText" : "Berlin, Berlin, Germany", "technicalSkills" : "HubSpot, Canva", "professionalSkills" : [ "Account-based marketing", "Digital campaigns", "Event operations", "Social media marketing", "B2B marketing", "Marketing automation", "CMS platforms", "Email platforms", "Spreadsheet reporting" ], "hardSkillsList" : [ "Campaign management", "Budget tracking", "Invoice tracking" ], "hardSkills" : [ { "name" : "Campaign management", "level" : "intermediate" }, { "name" : "Budget tracking", "level" : "intermediate" }, { "name" : "Invoice tracking", "level" : "intermediate" } ], "majorSkills" : "B2B Marketing, Digital Campaigns, Event Management", "majorSkillsList" : [ "B2B Marketing", "Digital Campaigns", "Event Management" ], "coreResponsibilities" : "Set up digital campaigns, Test digital campaigns, Launch digital campaigns, Coordinate assets with agencies, Coordinate feedback with agencies, Upload contact lists, Maintain contact lists, Maintain campaign tracking, Support event operations, Build social content, Schedule social content, Publish social content, Track budgets, Track invoices", "teamCollaboration" : "Work with agencies; Work with sales; Work with product team; Work with Senior ABM Manager; Work with Events Manager; Work with Director of B2B Marketing", "domainKnowledge" : "Streaming; TV as-a-Service; Enterprise buyers", "domainList" : [ "streaming", "tv-as-a-service", "enterprise-buyers" ], "domainSpecificKnowledge" : [ "Streaming", "TV as-a-Service", "Enterprise buyers" ], "toolProficiency" : [ "HubSpot", "Canva" ], "continuousLearning" : "Internal trainings; German language classes; Hackdays", "specialRequirements" : "Remote work worldwide (up to 8 weeks/year), Occasional travel for events", "qualificationsBasic" : "Currently enrolled in Bachelor's or Master's, Fluent in English", "qualificationsPreferred" : "Familiarity with LinkedIn marketing, Basic paid social experience, Interest in B2B, Interest in enterprise tech, Interest in media/streaming industry, German language skills, Willingness to travel for events", "workSiteFlexibility" : "Flexible", "rawDescription" : "YOUR FUTURE, ON DEMAND The ideal blend of stability and flexibility. A genuinely human employer that cares for people and the planet. True autonomy to shape what comes next, for us and you. This is the perfect platform to take your career where you want. Back in 2005, we pioneered Europe’s first TV streaming service. Today, we’re the world’s first certified climate neutral TV streaming provider. Several million users across three countries. Over 230 colleagues of 47 nationalities. We’re the grown-up start-up, helping to shape a better future since day one. That hasn’t changed, even if the world has. We’re friendly, international, inclusive – and our people say we’re reliable and transparent, too. It’s why they trust us and believe in what we do. THE ROLE Join our B2B Marketing team and help bring account-based marketing campaigns, live and online events to life for one of Europe's pioneering streaming companies. You'll work hands-on across digital campaigns, event operations, and social media — learning enterprise B2B marketing from the inside while making a real impact from a small, autonomous team. THE B2B MARKETING TEAM We're a three-person direct and five- to seven-person extended projects team responsible for Zattoo's entire B2B go-to-market — from account-based and product marketing campaigns targeting TV operators and telcos worldwide to online and live industry events like IBC Amsterdam. We work with agencies, sales, and our portfolio and product team telling Zattoo's story to Streaming / TV as-a-Service and modular enterprise buyers. You'll be the fourth of us, working directly with our Senior ABM Manager Marie-Anne and Events Manager Lisa-Marie on the things that actually ship and ever-more-often also our Director of B2B Marketing Hanns on our strategic market and PR narrative. WHAT YOU’LL DO Set up, test, and launch digital campaigns — emails, landing pages, forms, and workflows in HubSpot and social platforms Coordinate assets and feedback loops with external agencies and online / live event organisers Keep our data clean: upload and maintain contact lists, campaign associations, and tracking in HubSpot Support event operations end-to-end — from registration setup and promotion to on-site support and post-event follow-up Build, schedule and publish organic and paid social content (primarily LinkedIn, using e. g. Canva and various enterprise-grade GenAIs based on agency-created assets) Track budgets and invoices against campaign and event plans WHAT YOU’LL BRING Currently enrolled in a Bachelor's or Master's programme in Marketing, Business, Communications, or similar Comfortable working with digital tools — you'll pick up HubSpot, but some experience with marketing automation, CMS, or email platforms helps The ability to think and project across functional boundaries: connecting marketing mechanics to business context, team dynamics, and systems Solid with spreadsheets (Excel or Google Sheets) for tracking and reporting Organised and reliable — you can manage parallel tasks without things slipping Self-directed enough to work in a small team with real autonomy Fluent in English (our working language) Bonus: Familiarity with LinkedIn marketing or basic paid social Interest in B2B, enterprise tech, or the media/streaming industry German language skills Willingness to occasionally travel for events (e. g. IBC Amsterdam) WHY JOIN US? At Zattoo, you’re always on firm ground with real freedom to explore. You’ll have the support and opportunity you need to go far, while you’re helping us create a sustainable and entertainment-filled future for all. WHAT WE OFFER YOU Reward: strong market competitive salary Invest: valuable work experience, guidance, and growth opportunities Regulate: trust based flexible working hours and the option for remote work worldwide for up to 8 weeks per year Plus: We’re sharing: Free access to the best streaming experience on the market We’re developing: Access to exciting learning opportunities like internal trainings, German language classes and hackdays We’re inclusive: ‘Zattooies’ are a fun, engaged, and diverse team made up of 47 nationalities We’re healthy: Health checks, mental wellbeing support, team sports and more! We’re responsible: We are carbon neutral, an active employee Green team We’re sociable: A calendar of events with fireside chats, lunches, in-house bar, BBQ’s, monthly socials, summer party and an annual off-site event Zattoo enables our users to view indiscriminately and we reflect that in our team too. Regardless of race, gender, sexual orientation, religion, national origin, age, disability or any other characteristic protected by law we encourage everyone to apply and will give everyone equal consideration. We are an equal opportunities employer — join us and help build a diverse team dedicated to revolutionising the way you watch TV. We are committed to ensuring fair, open, and equitable hiring practices and are happy to answer any questions you may have about us or the role throughout the whole process. In line with the EU Pay Transparency Directive, we share the applicable compensation range with you before your first interview. 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Qantas has established a new Product Innovation Centre in Adelaide, a hub that will transform how we design, build and deliver digital experiences for millions of customers. At its core is a shift to a product-led operating model: moving away from traditional project-based IT delivery toward empowered, cross-functional product teams that own outcomes end-to-end. The Senior Manager – Applied AI leads the AI operating model across the Product Innovation Centre and Mascot’s Digital and QA Technology teams, setting the standards for how AI is designed, built and governed. The role shapes the organisation’s approach to AI-enabled product development, with accountability for frameworks such as workflows, skill libraries, model selection, agent architectures and platform cost governance, alongside strong emphasis on guardrails, governance, training and internal consulting. Operating as a builder-leader, the role balances hands-on technical delivery with broader strategic influence. Approximately half of the role is dedicated to building core operating model infrastructure, while the remainder focuses on shaping platform direction and supporting teams across the centre. Acting as a trusted advisor, the role works horizontally across product and engineering teams to embed AI into the development lifecycle, defining standards, patterns and reference architectures while ensuring responsible and compliant adoption. A key focus is driving measurable value through AI adoption, improving productivity, quality and overall developer experience. The position blends technical leadership, people leadership and enterprise influence, collaborating closely with Product, Engineering, Cyber, Risk, Legal and Architecture teams. It also contributes to building future talent pipelines, including engagement with universities, to ensure sustained AI capability uplift across the organisation. You’ll have: * 10+ years in software engineering, product management, design or business analysis * 5+ years in leadership or technical enablement roles * Degree in Computer Science, Software Engineering, or equivalent * Understanding of modern product development practices (cloud, DevOps, CI/CD, quality engineering) * Strong experience with AI-enabled systems, including; agentic patterns and multi-agent orchestration, model integration patterns, prompt engineering and evaluation, and AI observability and monitoring * Ability to translate complex technical and risk concepts into practical guidance * Excellent communication, facilitation, and influencing skills * Experience applying AI across the full PDLC, including discovery, design and prioritisation (not just build and test phases) Why Qantas? At Qantas, your career can take you further than you imagined. You’ll join a team where creativity and passion drives success. Together we dream big and deliver even bigger. You’ll find diverse opportunities to grow, personally and professionally. From day one, you’ll be supported with hands-on training, coaching, and formal learning programs designed to help you excel. Your development is our priority because we know that when you thrive, so do our customers. The Qantas employee benefits program offers amazing benefits that extend well beyond travel. * We love to travel: Enjoy heavily discounted air travel within Australia and across the globe, both for you and your family and friends, as well as exclusive deals on accommodation and holidays. * We have flexible leave options: Make use of leave and flexible working opportunities including 18 weeks paid parental leave and the option to purchase additional paid leave for eligible employees. * We’ll give you access to thousands of rewards: Through our partnerships we can offer you discounts across shopping, food and wine, insurance, health and wellbeing, leisure and entertainment. You can also take advantage of our salary packaging program including motor vehicles, eligible portable electronic devices and professional memberships. * We’ll support your wellbeing: Whether it’s learning to better support your own and others’ mental health, our interactive wellbeing app or your very own tailored nutrition plan. Applications close on the 28th of June Qantas is an equal opportunity employer committed to providing a working environment that embraces and values diversity and inclusion. By coming to work for us, you’ll be part of an organisation that encourages diversity, supports charities and environmental initiatives. We encourage Aboriginal and Torres Strait Islander, and people of all backgrounds to apply. If you have any support or access requirements, we encourage you to advise us at time of application. Your personal information will be kept confidential in compliance with relevant privacy legislation.", "summaryDescription" : "Senior Manager, Applied AI at Qantas Group. Lead and manage a team of AI/ML engineers. 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Our team designs expert-curated training data, calibrated rubrics, and verifiable task environments for AI labs and startups pushing the frontier of what models can do in regulated industries. We're a small, lean, London based team that moves fast and takes the work seriously. Everyone contributes directly. Initiative is rewarded, and ownership is the default. If you want to shape how frontier AI learns to operate in the real world, we'd like to hear from you. ABOUT THE ROLE As a Member of Technical Staff on our Applied AI team, you will build the tasks and environments that AI labs use to train and evaluate their agents in finance, healthcare, and legal. Day to day, that looks like: constructing RL environments around spreadsheets, documents, and professional workflows. Writing verification logic and reward functions. Working with domain experts to scope what a correct answer actually looks like in an LBO model or a clinical note. Some days it's engineering, some days it's closer to research. The common thread is that you're producing the ground truth that frontier models get measured against. WHAT YOU'LL DO - Build RL environments across finance, healthcare, and legal domains - Assist in designing tasks with golden answers, calibrated rubrics, and programmatic reward signals - Write verification logic and reward functions that can distinguish good model outputs from bad ones - Work directly with domain experts (investment analysts, physicians, attorneys) to translate complex professional workflows into structured tasks - Prototype new approaches to evaluation, verification, and synthetic data generation WHO WE'RE LOOKING FOR - Practical experience building with LLMs: prompting, evaluation, and agentic harnesses. You've built things that actually run, not just notebooks. - High agency and technically sharp. You don't wait for permission, specs, or a roadmap. You see what needs doing, figure out how, and get it done. - Comfortable working across very different contexts. The job moves between engineering, evaluation design, and deep collaboration with domain experts often in the same day. - You ship and iterate. Small team, no room for work that sits in review. Bias toward getting something working, learning from it, and improving it. - You own problems end to end, from scoping with a domain expert through to a working environment. If you prefer clearly partitioned tickets, this probably isn't the right fit. - Already using LLMs as part of how you build, not just as the thing you're building for. NICE TO HAVE - Domain knowledge in finance, healthcare, or legal - Familiarity with RL concepts, model training, and post-training workflows - Cloud infrastructure experience (AWS or GCP) - Previous startup experience, especially as an early engineer", "summaryDescription" : "Member of Technical Staff (Applied AI) at APTURA. 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Design tasks with golden answers", "createdAt" : "2026-06-16T00:27:58.106", "lastUpdated" : "2026-06-16T09:39:10.544", "ingestTimestamp" : "2026-06-16T00:27:58.106", "mongoId" : "6a30652af292fd229cfa5b7c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Prompting", "Verification logic", "Reward functions", "Applied AI", "RL environments", "Agentic harnesses", "Evaluation design", "Synthetic data generation", "Finance", "Healthcare", "Legal", "LBO model", "Clinical note", "Professional workflows" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 729.4134, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30811cf292fd229c068e04", "title" : "Account Executive (Nordics) - Sales Solutions", "company" : "LinkedIn", "industry" : "Internet", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Account Executive in Dublin, Ireland, with adjustments for the SaaS industry and company size." }, "location" : "Dublin, D, IE", "locations" : [ "Dublin", "D", "IE" ], "timestamp" : "2026-06-16T09:41:50.402", "fingerprint" : "721697f1feb690ce47dcbc0eba82b78d60339447cc6d824440a8e5c517e8bfed", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LinkedIn3/744000132133704-account-executive-nordics-sales-solutions", "externalId" : "744000132133704", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dublin", "country" : "Ireland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "53.3493795,-6.2605593" } ], "locationText" : "Dublin, Ireland", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "professionalSkills" : [ "Sales leadership", "Revenue attainment", "Forecasting skills", "Strategic selling" ], "hardSkillsList" : [ "Pipeline management", "Revenue reporting" ], "hardSkills" : [ { "name" : "Pipeline management", "level" : "intermediate" }, { "name" : "Revenue reporting", "level" : "intermediate" } ], "majorSkills" : "Sales Navigator, Prospecting, Negotiation", "majorSkillsList" : [ "Sales Navigator", "Prospecting", "Negotiation" ], "coreResponsibilities" : "Develop and manage a pipeline of new prospects, Manage the acquisition process from end to end, Drive revenue by connecting with customers, Build opportunities that will make all parties more, Demonstrate sales leadership through planning, Demonstrate sales leadership through forecasting, Demonstrate sales leadership through revenue reporting, Demonstrate sales leadership through pipeline management, Be a best-in-class Sales Navigator user, Leverage skills and customer experience to evolve solution, Leverage skills and customer experience to evolve sales, Act as an owner on your book-of-business, Act as an owner on revenue goals, Consistently meet and exceed business objectives, Consistently meet and exceed revenue objectives, Adapt best practices, Develop best practices, Apply best practices, Circulate best practices, Champion LinkedIn’s Diversity and Inclusion values, Champion LinkedIn’s culture", "domainKnowledge" : "Deep Sales approach", "domainList" : [ "deep-sales-approach" ], "domainSpecificKnowledge" : [ "Deep Sales approach" ], "toolProficiency" : [ "Sales Navigator" ], "outcomesObjectives" : "Meet and exceed business objectives; Meet and exceed revenue objectives", "qualificationsBasic" : "2 years of applicable sales experience, Fluency in English", "qualificationsPreferred" : "Fluency in a Nordic language, Sales experience selling into Nordic market(s), Track record selling SaaS solutions, Proven ability to work to a quota, Demonstrated ability to find, manage and close high-level business sales, Ability to assess business opportunities, Ability to predictably forecast, Ability to use insights and data-driven decisions, Ability to build trust-based relationships, Ability to bring together multiple buyers", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. This role will be based in Dublin. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn’s Sales Solutions team is dedicated to changing the world of sales. We are supporting customers in developing a Deep Sales approach focusing their sales efforts where they will have the most impact. We do this through LinkedIn Sales Navigator, which helps connect, engage and build mutually beneficial relationships between buyers and sellers at the right time. As Account Executive, you will develop and manage a strong pipeline of new prospects, manage the acquisition process from end to end, and demonstrate strong revenue attainment and forecasting skills. As an Account Executive, you will use your strategic selling skills to educate prospective customers in the Nordic market on the benefits and value of LinkedIn Sales Navigator. You will serve as a trusted adviser, share insights and continually seek opportunities for growth to make your customers as strong and successful as possible. Responsibilities: * Drive revenue by connecting with customers and building opportunities that will make all parties more successful * Demonstrate sales leadership through strong planning, forecasting, revenue reporting and pipeline management * Be a best-in-class Sales Navigator user and leader on top performing sales habits * Leverage your skills and your customers’ experience to continually evolve our solution offerings and the sales process * Act as an owner on your book-of-business and revenue goals * Consistently meet and exceed the business and revenue objectives set forth in your plan * Adapt but also work to develop, apply, and circulate a set of best practices that will be the foundation of this growing team * Champion LinkedIn’s Diversity and Inclusion values and culture ## Qualifications Basic Qualifications: * 2 years of applicable sales experience * Fluency in English Preferred Qualifications: * Fluency in a Nordic language; Swedish, Danish, Finnish or Norwegian * Sales experience selling into Nordic market(s) * Track record selling SaaS solutions, CRM platforms or software platform solutions * Proven ability to work to a quota and achieve results * Demonstrated ability to find, manage and close high-level business sales * Ability to assess business opportunities and read prospective buyers * Ability to predictably forecast and execute on business goals * Ability to use insights and data-driven decisions in the sales process * Ability to effectively build trust-based relationships with senior-level sales professionals * Ability to bring together multiple buyers in the same company to build groundswell while * Leveraging partners within LinkedIn to effectively evangelize the solution Suggested skills: * Prospecting * Negotiation * Analytics & Forecasting * Relationship Building * Multithreading ## Additional Information Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.", "summaryDescription" : "Account Executive (Nordics) - Sales Solutions at LinkedIn. Skills: Sales Navigator, Prospecting, Negotiation. Develop and manage a pipeline of new prospects. Manage the acquisition process from end to end", "postedDate" : "2026-06-15T07:53:04.000", "createdAt" : "2026-06-16T01:38:43.526", "lastUpdated" : "2026-06-16T09:41:50.402", "ingestTimestamp" : "2026-06-16T01:38:43.526", "mongoId" : "6a30811cf292fd229c068e04", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Pipeline management", "Revenue reporting", "Sales Navigator", "Prospecting", "Negotiation", "Sales leadership", "Revenue attainment", "Forecasting skills", "Strategic selling", "Deep Sales approach" ], "skillCount" : 10, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 725.91895, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3050a0f292fd229cef2f3c", "title" : "Growth Development Working Student (w/m/d)", "company" : "Enpal", "industry" : "Headquarter Growth", "salary" : { "min" : 12000.0, "max" : 18000.0, "currency" : "BGN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for entry-level, part-time roles in the Climate Tech industry in Bulgaria, adjusted for a remote work model." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T12:10:49.473", "fingerprint" : "60ac91aa1072cba99574ca1050a04c970b71449b30839ca44420199257a6d377", "source" : "ashby", "language" : "de", "applyUrl" : "https://jobs.ashbyhq.com/enpal/bb85a882-4d82-4496-a2a0-34142c0b8dd0/application", "externalId" : "bb85a882-4d82-4496-a2a0-34142c0b8dd0", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "PART_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "AI", "professionalSkills" : [ "Performance marketing", "Campaign management", "Landing page optimization", "Growth projects" ], "hardSkillsList" : [ "AI-generated ads", "Creative concept development" ], "hardSkills" : [ { "name" : "AI-generated ads", "level" : "intermediate" }, { "name" : "Creative concept development", "level" : "intermediate" } ], "majorSkills" : "Performance Marketing, Campaign Optimization, Creative Development", "majorSkillsList" : [ "Performance Marketing", "Campaign Optimization", "Creative Development" ], "coreResponsibilities" : "Support operational and strategic initiatives, Plan AI-generated ads, Create AI-generated ads, Optimize AI-generated ads, Implement paid-marketing campaigns, Develop paid-marketing campaigns, Improve campaign performance, Create creatives with AI tools, Optimize landing pages, Identify optimization potential, Develop campaign concepts, Develop creative concepts, Manage growth projects, Support ad-hoc projects, Support daily business", "teamCollaboration" : "Marketing team; Management team; Different stakeholders", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Decentralized energy; Solar energy; Energy market", "domainList" : [ "decentralized-energy", "solar-energy", "energy-market" ], "domainSpecificKnowledge" : [ "Decentralized energy", "Solar energy", "Energy market" ], "toolProficiency" : [ "AI tools" ], "innovationCreativity" : "Develop new ideas; Develop campaign concepts; Develop creative concepts", "problemSolvingSkills" : "Solution-oriented thinking", "qualificationsBasic" : "Bachelor's or Master's degree, First practical experience", "qualificationsPreferred" : "Experience in startups, Marketing experience, Business Development experience, Project Management experience, Consulting experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Unser Ziel ist eine Solaranlage auf jedem Dach, ein Speicher in jedem Haus und ein E-Auto in jeder Garage. Enpal macht das möglich mit einer integrierten Gesamtlösung für dezentrale Energie – von Solaranlage und Batteriespeicher über Wallbox, Smart Meter bis zur Wärmepumpe. Herzstück ist unsere KI-gestützte Plattform Enpal.One http://Enpal.One+, die tausende Systeme intelligent vernetzt und Strombezug sowie -einspeisung effizient am Energiemarkt optimiert. Bist Du bereit für Lösungen, die mehr als nur ein Versprechen sind und täglich echte Lebensqualität in tausende Haushalte bringen? Was du bei Enpal gestaltest, liefert morgen sauberen Strom und verändert nachhaltig, wie wir Energie nutzen. DEINE AUFGABEN - Du unterstützt bei operativen und strategischen Initiativen im Performance Marketing, insbesondere bei der Planung, Erstellung und Optimierung von AI-generierten Werbeanzeigen - Du wirkst bei der Umsetzung und Weiterentwicklung von Paid-Marketing-Kampagnen mit und hilfst dabei, deren Performance kontinuierlich zu verbessern - Du unterstützt bei der Erstellung von Creatives mit AI-Tools sowie bei der Optimierung von Landing Pages - Du arbeitest eng mit dem Marketing- und Managementteam zusammen und erhältst Einblicke in strategische Entscheidungsprozesse - Du identifizierst eigenständig Optimierungspotenziale im Marketing und bringst eigene Ideen ein konzipierst eigene Kampagnen- und Creative-Konzepte - Du übernimmst kleinere Growth-Projekte oder Teilprojekte und begleitest diese von der Konzeption bis zur Umsetzung - Du unterstützt das Team bei ad-hoc Projekten und im Tagesgeschäft DEIN PROFIL - Du bist aktuell in einem Bachelor- oder Masterstudium in einer Top Tier Business School eingeschrieben, idealerweise im Bereich Wirtschaft, Marketing oder einem verwandten Studiengang - Du hast erste praktische Erfahrungen durch Praktika oder Werkstudententätigkeiten, z. B. in Startups, im Marketing, Business Development, Project Management oder Consulting - Du bringst Kreativität mit und hast Freude daran, neue Ideen zu entwickeln und umzusetzen - Du arbeitest analytisch, strukturiert und eigenständig - Du überzeugst durch eine proaktive und lösungsorientierte Denkweise - Du hast Spaß an Kommunikation und Zusammenarbeit mit unterschiedlichen Stakeholdern - Du interessierst dich für Entrepreneurship, Marketing und Wachstumsthemen - Du kannst Aufgaben priorisieren und behältst auch in einem dynamischen Umfeld den Überblick - Du hast einen hohen Qualitätsanspruch an deine Arbeit und bist motiviert, Verantwortung zu übernehmen - Du verfügst über sehr gute Deutsch- und Englischkenntnisse Du bist interessiert, auch wenn du nicht alle Anforderungen erfüllst? Bewirb dich trotzdem! Wir freuen uns darauf, dein Potenzial zu entdecken - unabhängig davon, ob deine Erfahrung jede einzelne Voraussetzung erfüllt. ☀️ DARAUF KANNST DU DICH FREUEN - Arbeite in Deutschlands erstem grünen Unicorn - Gestalte aktiv die solare Energiewende mit. - Die Sonne scheint auf der ganzen Welt - Bei Enpal arbeitest du mit einem hochmotivierten, diversen Team aus über 65 Nationalitäten. - Das ideale Setup für deinen Fokus - Wir sind überzeugt, dass exzellente Ergebnisse dort entstehen, wo die Bedingungen stimmen. Deshalb setzen wir auf ein hybrides Arbeitskonzept, das dir die Freiheit gibt, immer genau so zu arbeiten, wie es am besten zu deinen Aufgaben passt. Du brauchst neue Impulse auf internationalem Niveau? Mit Workflex bieten wir, abhängig von deiner Verantwortung, die Möglichkeit, deine Tätigkeit bis zu 30 Tage im Jahr ins Ausland zu verlegen. - Grown-up Business & Startup Spirit - In unserem modernen Office in Berlin-Friedrichshain findest du von höhenverstellbaren Tischen, Tischtennisplatte bis gefüllten Getränkekühlschränken und Barista-Coffee alles was das Herz begehrt. - Dein Kick-start bei Enpal - Onboarding-Tag mit Welcome Bag, Buddy-Programm und einem Team, das dich wirklich abholt. - Bleib auf dem Laufenden & gestalte mit - Transparente All-Hands, kurze Entscheidungswege und eine offene Feedback-Kultur, denn ohne Fehler gibt es keinen Fortschritt. - Energiewende geht nur gemeinsam - Bei Enpal erwartet dich ein legendärer Teamspirit und unvergessliche Team- und Companyevents. - Dein Extra-Boost - 29 + 2 Urlaubstage, vergünstigte Mitgliedschaft bei Wellhub und Corporate Benefits. Alles, was dir hilft, Arbeit und Leben gut zu verbinden. Wir bei Enpal sind stolz auf die Vielfältigkeit unseres Teams. Weder bei der Einstellung noch während des Beschäftigungsverhältnisses werden Entscheidungen auf Basis von Hautfarbe, Religion oder religiösen Glaubens, ethnischer oder nationaler Herkunft, Nationalität, Geschlechteridentität, sexuelle Orientierung, Behinderung oder Alter getroffen. Enpal steht für einen sicheren Arbeitsplatz und geht gegen Diskriminierung und Belästigung jeglicher Art vor.", "summaryDescription" : "Growth Development Working Student (w/m/d) at Enpal. Skills: Performance Marketing, Campaign Optimization, Creative Development. Support operational and strategic initiatives. Plan AI-generated ads", "createdAt" : "2026-06-16T00:29:41.120", "lastUpdated" : "2026-06-16T12:10:49.473", "ingestTimestamp" : "2026-06-16T00:29:41.120", "mongoId" : "6a3050a0f292fd229cef2f3c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "AI-generated ads", "Creative concept development", "Performance Marketing", "Campaign Optimization", "Creative Development", "Performance marketing", "Campaign management", "Landing page optimization", "Growth projects", "Project management", "Decentralized energy", "Solar energy", "Energy market", "AI tools" ], "skillCount" : 14, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 723.4672, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305ae9f292fd229cf57179", "title" : "AI & Management Consulting Intern (Value Engineering - DACH Market)", "company" : "Celonis", "industry" : "SaaS", "salary" : { "min" : 24000.0, "max" : 36000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an AI & Management Consulting Intern in Munich, Germany, adjusted for entry-level seniority and the SaaS industry." }, "location" : "Munich, Germany", "locations" : [ "Munich", "Germany" ], "timestamp" : "2026-06-16T07:19:28.907", "fingerprint" : "ff64d31af692977d2c63f59f26a2f668ae4adb71ae43673281b7a68a4f7beec6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/celonis/jobs/7751549003?gh_jid=7751549003", "externalId" : "7751549003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Munich", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1371079,11.5753822" } ], "locationText" : "Munich, Germany", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, OpenAI, LLMs", "professionalSkills" : [ "Business acumen", "Data modeling", "Value proposition" ], "hardSkillsList" : [ "Data analysis", "Business case creation", "Process intelligence" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Business case creation", "level" : "intermediate" }, { "name" : "Process intelligence", "level" : "intermediate" } ], "majorSkills" : "Value Engineering, Process Intelligence, Applied AI", "majorSkillsList" : [ "Value Engineering", "Process Intelligence", "Applied AI" ], "coreResponsibilities" : "Analyze customer data, Increase transparency in business processes, Understand customer pain points, Translate pain points into use cases, Collaborate with customers and partners, Uncover core business challenges, Determine how Celonis can help, Quantify financial impact of use cases, Prepare management presentations, Present findings to C-level executives, Leverage Celonis data modeling, Leverage Celonis AI capabilities, Uncover process inefficiencies, Generate insights, Deliver data driven value propositions, Pitch Celonis AI value proposition, Pitch Celonis AI vision, Align solutions with AI strategy, Build relationships with customers, Win customer trust", "teamCollaboration" : "Partner with sales; Partner with customers; Work with team; Present with team", "domainKnowledge" : "Process Intelligence; Process Mining; Applied AI; Data Analytics", "domainList" : [ "process-intelligence", "process-mining", "applied-ai", "data-analytics" ], "domainSpecificKnowledge" : [ "Process Intelligence", "Process Mining", "Applied AI", "Data Analytics" ], "communicationSkills" : "Present findings; Pitch value proposition", "continuousLearning" : "Mentorship programs; Learning platform access", "problemSolvingSkills" : "Analytical mindset; Problem solving", "specialRequirements" : "Full-time availability", "outcomesObjectives" : "Unlock global productivity; Unlock sustainability; Achieve business objectives; Deliver high impact value", "qualificationsBasic" : "Student of Business Informatics / Management & Technology / Industrial Engineering/ Computer Science/ Economics / Mathematics or of a comparable program, Communicational skills, Interest in interacting with potential customers, Confidence to present to C-level executives, Passion for technology, data, OpenAI and LLMs, Experience in consulting, Highly interested in Data Analytics & Applied AI, Knowledge in SQL, Knowledge in Python, Knowledge in related database query languages, Analytical mindset, Ability to multi-task, Ability to prioritize, Ability to execute, Effective communicator, Business fluent in German, Business fluent in English, Full-time availability for at least five months, Availability starting from June/ July/ August 2026", "qualificationsPreferred" : "Completion of Celonis \"Rising Star\" modules", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet. The Team: As an Intern in AI & Management Consulting you join our Value Engineering team to focus on driving and closing opportunities by identifying and selling the value Celonis can bring to customers. Our Value Engineers (VE) are the trusted advisor for customers and work on the intersection of technology and business. Value Engineers partner with sales and customers to create compelling solutions to critical business problems. A great VE understands the customer, the technology, and the sales cycle making it what may be the most interesting, challenging, and fulfilling role in enterprise technology sales. The Role: Value Engineers are the trusted advisors for our prospects and customers and leverage product expertise and business acumen to solve our prospects’ and customers’ most pressing challenges. You will gain experience in executing proof of value projects and take part in technical discussions with stakeholders. By creating customer-based business cases, you support the strategic business development activities for the DACH market. The work you’ll do: Analyze data from our customers to increase transparency in business processes Understand the pain points of our customers and translate them into actionable use cases in the Celonis Process Intelligence Platform Collaborate with customers and partners to uncover their core business challenges and determine how Celonis Process Intelligence can help them achieve their business objectives Quantify financial impact of use cases implemented in the Celonis Process Intelligence Platform and prepare management ready presentations Present findings together with your team in front of customers’ C-level and decision makers Leverage Celonis data modeling and AI capabilities to uncover process inefficiencies, generate insights, and deliver high impact, data driven value propositions to clients. Pitch the Celonis AI value proposition and vision to customers and align our solutions with their AI strategy Build strong relationships with our customers by winning their trust through technical, product expertise, and business acumen The qualifications you need: Student of Business Informatics / Management & Technology / Industrial Engineering/ Computer Science/ Economics / Mathematics or of a comparable program Strong communicational skills and interest in interacting with potential customers Confidence to present to C-level executives and larger audiences Have a passion for technology, data, OpenAI and LLMs and the impact it can have on the world Experience in consulting and highly interested in Data Analytics & Applied AI Knowledge in SQL and Python or related database query languages (completion of Celonis \"Rising Star\" modules would be a plus) Analytical mindset and the ability to multi-task, prioritize and execute Effective communicator and business fluent in German and English Full-time availability for at least five months starting from June/ July/ August 2026 What Celonis can offer you: Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations. Ownership from Day 1: Every full-time \"Celonaut\" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants. Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment. Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration. Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform. Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated \"Wellness Weeks\" that prioritize work/life balance. Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually. Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued. Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision. About Us: Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video. Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process. Please be aware of common job offer scams, impersonators and frauds. Learn more here.", "summaryDescription" : "AI & Management Consulting Intern (Value Engineering - DACH Market) at Celonis. Skills: Value Engineering, Process Intelligence, Applied AI. Analyze customer data. Increase transparency in business processes", "postedDate" : "2026-06-15T23:27:49.212", "createdAt" : "2026-06-15T23:27:49.212", "lastUpdated" : "2026-06-16T07:19:28.907", "ingestTimestamp" : "2026-06-15T23:27:49.212", "mongoId" : "6a305ae9f292fd229cf57179", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Business case creation", "Process intelligence", "Value Engineering", "Process Intelligence", "Applied AI", "Business acumen", "Data modeling", "Value proposition", "Process Mining", "Data Analytics" ], "skillCount" : 11, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 715.0701, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "69c94a799bc74574cbbb433d", "title" : "Applied Scientist, Applied AI Solutions", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Cloud Computing", "salary" : { "min" : 142800.0, "max" : 193200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T00:57:46.652", "fingerprint" : "b1342cbd4e9405e9192189ca2d95057cfd9eb862aa59c2b671146a4dbfc8fb38", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3198811/apply", "externalId" : "bc3994a8-5195-440f-adc4-862ee0249593", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "GenAI, Large language models, Foundational models, Machine learning, Python", "professionalSkills" : [ "Applied research", "Business applications" ], "hardSkillsList" : [ "Fine-tuning", "Reinforcement learning", "Data analysis", "Model development", "Model validation" ], "softSkillsList" : [ "Bias for action" ], "hardSkills" : [ { "name" : "Fine-tuning", "level" : "intermediate" }, { "name" : "Reinforcement learning", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Bias for action" } ], "majorSkills" : "Large language models, Agentic systems, Foundational models, GenAI", "majorSkillsList" : [ "Large language models", "Agentic systems", "Foundational models", "GenAI" ], "coreResponsibilities" : "Drive GenAI projects, Build ML models, Optimize ML models, Deploy ML models, Research machine learning approaches, Identify GenAI applications, Perform analysis of large datasets, Develop actionable insights, Establish scalable processes, Establish automated processes, Present results to senior leadership", "teamCollaboration" : "Collaborate with software engineers; Collaborate with cross-functional teams", "domainKnowledge" : "Agentic systems", "domainList" : [ "agentic-systems" ], "domainSpecificKnowledge" : [ "Agentic systems" ], "communicationSkills" : "Present results", "innovationCreativity" : "Research innovative approaches; New opportunities for GenAI", "problemSolvingSkills" : "Data analysis; Model development; Model validation", "qualificationsBasic" : "3+ years building models, Master's degree and 4+ years experience, Experience in patents or publications, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing", "qualificationsPreferred" : "Experience using Unix/Linux", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About us As part of the AWS Applied AI Solutions organization, our vision is to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. Our team combines Amazon's real-world experience with state-of-art AI to create opinionated, turnkey solutions that are no-brainers to buy and easy to use. We're building applied AI solutions that businesses love and trust. Our ambition is to become the partner companies rely on to run their business every day—putting AI to work to deliver better customer experiences, operational excellence, and faster innovation. We're a fast-moving, scrappy team building a new agentic product from the ground up. If bias for action is your favorite leadership principle, you'll fit right in. The Role We're seeking a talented Applied Scientist with expertise in large language models, agentic systems, and foundational models. You will be responsible for building the state-of-art multi-agent system, using a handful of methods including fine-tunning, reinforcement learning, etc. You'll accelerate our customer-facing features, contribute to our collaborative and innovative culture, and bring state-of-art applied research that raises the bar for the entire team. Key job responsibilities • Drive end-to-end GenAI projects with high complexity and ambiguity from conception to production • Build, optimize, and deploy ML models while collaborating with software engineers for productionization • Research innovative machine learning approaches and identify new opportunities for GenAI applications • Perform hands-on analysis and modeling of large datasets to develop actionable insights • Establish scalable, automated processes for data analysis, model development, and validation • Present results to senior leadership and collaborate with cross-functional teams About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Applied Scientist, Applied AI Solutions at Amazon.com Services LLC. Skills: Large language models, Agentic systems, Foundational models, GenAI. Drive GenAI projects. Build ML models", "postedDate" : "2026-06-13T10:02:08.794", "createdAt" : "2026-06-13T10:02:08.794", "lastUpdated" : "2026-06-15T00:57:46.652", "ingestTimestamp" : "2026-06-13T10:02:08.794", "mongoId" : "69c94a799bc74574cbbb433d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3198811/apply", "salaryAnnualMin" : 142800, "salaryAnnualMax" : 193200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Fine-tuning", "Reinforcement learning", "Data analysis", "Model development", "Model validation", "Bias for action", "Large language models", "Agentic systems", "Foundational models", "GenAI", "Applied research", "Business applications" ], "skillCount" : 12, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "_score" : 712.8665, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2ca43874d8ee00a09b0bea", "title" : "Content Creator Working Student", "company" : "Picnic", "industry" : "E-Commerce", "salary" : { "min" : 16.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands" ], "timestamp" : "2026-06-15T10:00:56.099", "fingerprint" : "e002fd5ea55c243001540e633c3d635e18a5ba9d2855a6c687d1d3119e7ee2aa", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.picnic.app/nl/vacancies?gh_jid=7238242", "externalId" : "7238242", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "INTERNSHIP", "majorSkills" : "Content creation, Social media", "majorSkillsList" : [ "Content creation", "Social media" ], "coreResponsibilities" : "Ontwikkelen van engaging content, Creëren en editen van UGC-video’s, Helpen opbouwen community creators", "domainKnowledge" : "Social trends; Paid social advertenties", "domainList" : [ "social-trends", "paid-social-advertenties" ], "domainSpecificKnowledge" : [ "Social trends", "Paid social advertenties" ], "communicationSkills" : "Schrijven van captions", "continuousLearning" : "Persoonlijke groeikansen; Lepaya-cursussen; Academy-trainingen; Professionele psychologen; Diverse trainingen", "innovationCreativity" : "Creatieve ideeën", "qualificationsBasic" : "Vloeiend Nederlands en Engels, Minimaal 3 dagen per week beschikbaar", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "In een notendop Kom bij Picnic en maak content! Picnic is de snelst groeiende online supermarkt ter wereld en maakt boodschappen doen simpel, leuk, duurzaam en betaalbaar voor iedereen. Wij zoeken een creatieve en energieke Content Creator Working Student om onze aanwezigheid op onze socials te laten groeien. Je maakt boeiende content: van behind-the-scenes momenten tot trending content. Jouw werk wordt niet alleen op onze social kanalen gedeeld, maar kan ook worden ingezet in social ads. De kunst van het vak Virale content: Ontwikkelen van engaging content met viral potentieel, zoals behind-the-scenes snippets en andere social trends UGC-video's: Creëren en editen van User-Generated Styled Content (UGC) video’s die ook gebruikt kunnen worden voor paid social advertenties Creator community: Een community van content creators binnen Picnic helpen opbouwen Over jou... Gepassioneerd over content creatie en social media, altijd op de hoogte van de laatste trends Handig met je telefoon en kunt snel video’s schieten en editen Sterk in het schrijven van pakkende captions en teksten Sociaal, enthousiast en vol creatieve ideeën Je spreekt vloeiend Nederlands en Engels Minimaal 3 dagen per week beschikbaar Picnic perks \uD83E\uDD57Verse lunch, koffie en snacks Op kantoor hebben we een koffiebar met eigen barista's, chefs die dagelijks een heerlijke, verse lunch bereiden en snacks en fruit zodat je energie op pijl blijft! ✍\uD83C\uDFFC Learning & development Bij Picnic krijg je alle ruimte om jezelf verder te ontwikkelen. We bieden persoonlijke groeikansen met Lepaya-cursussen, Academy-trainingen en meer. Werk je liever aan je mentale welzijn? Via OpenUp krijg je gratis toegang tot professionele psychologen en diverse trainingen. \uD83D\uDCB0Aantrekkelijk pakket Je ontvangt een bruto uurloon van €16.75, samen met een laptop en telefoon om je werk te ondersteunen. Afhankelijk van je woonplaats kunnen ook je reiskosten worden vergoed. Ben jij klaar om jouw creativiteit in te zetten en mee te bouwen aan het werkgeversmerk van Picnic? Solliciteer nu en start met creëren!", "summaryDescription" : "Content Creator Working Student at Picnic. Skills: Content creation, Social media. Ontwikkelen van engaging content. Creëren en editen van UGC-video’s", "postedDate" : "2026-06-14T09:16:37.973", "createdAt" : "2026-06-14T09:16:37.973", "lastUpdated" : "2026-06-15T10:00:56.099", "ingestTimestamp" : "2026-06-14T09:16:37.973", "mongoId" : "6a2ca43874d8ee00a09b0bea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Content creation", "Social media", "Social trends", "Paid social advertenties" ], "skillCount" : 4, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 711.5392, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3050a0f292fd229cef2fdd", "title" : "Working Student Marketing (w/m/d)", "company" : "Enpal", "industry" : "Headquarter Growth", "salary" : { "min" : 14000.0, "max" : 22000.0, "currency" : "BGN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level, part-time Working Student Marketing role in Bulgaria, adjusted for the climate tech industry." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T12:01:16.683", "fingerprint" : "c713924a8aa1de0e32ff8d6c58d3edaefe11c68d3040342ea84aeb6c5357afce", "source" : "ashby", "language" : "de", "applyUrl" : "https://jobs.ashbyhq.com/enpal/2a7dde9a-6271-4408-911d-3675009da934/application", "externalId" : "2a7dde9a-6271-4408-911d-3675009da934", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "PART_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "AI", "professionalSkills" : [ "Performance Marketing", "Paid Marketing", "Campaign Management", "Landing Page Optimization", "Growth Projects" ], "hardSkillsList" : [ "AI-generated ads", "Creative development" ], "softSkillsList" : [ "Analytical", "Structured", "Independent", "Solution-oriented", "Prioritization" ], "hardSkills" : [ { "name" : "AI-generated ads", "level" : "intermediate" }, { "name" : "Creative development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Structured" }, { "name" : "Independent" }, { "name" : "Solution-oriented" }, { "name" : "Prioritization" } ], "majorSkills" : "Performance Marketing, Campaign Optimization, Creative Concepts, Growth Projects", "majorSkillsList" : [ "Performance Marketing", "Campaign Optimization", "Creative Concepts", "Growth Projects" ], "coreResponsibilities" : "Support operational initiatives, Support strategic initiatives, Plan AI-generated ads, Create AI-generated ads, Optimize AI-generated ads, Implement Paid-Marketing campaigns, Develop Paid-Marketing campaigns, Improve campaign performance, Create Creatives with AI, Optimize Landing Pages, Collaborate with Marketing team, Collaborate with Management team, Identify optimization potentials, Develop own ideas, Conceptualize campaigns, Conceptualize creatives, Manage Growth Projects, Manage Project parts, Support ad-hoc projects, Support daily business", "teamCollaboration" : "Marketing team; Management team; Different stakeholders", "projectManagementSkills" : [ "Project Management" ], "domainKnowledge" : "Energy Market; Decentralized Energy; Solar Energy; Battery Storage; Electric Vehicles; AI Platform; Marketing; Growth Topics; Entrepreneurship", "domainList" : [ "energy-market", "decentralized-energy", "solar-energy", "battery-storage", "electric-vehicles", "ai-platform", "marketing", "growth-topics", "entrepreneurship" ], "domainSpecificKnowledge" : [ "Energy Market", "Decentralized Energy", "Solar Energy", "Battery Storage", "Electric Vehicles", "AI Platform", "Marketing", "Growth Topics", "Entrepreneurship" ], "toolProficiency" : [ "AI Tools" ], "communicationSkills" : "Communication", "innovationCreativity" : "Develop new ideas; Conceptualize campaigns; Conceptualize creatives", "problemSolvingSkills" : "Identify optimization potentials; Develop own ideas; Solution-oriented", "qualificationsBasic" : "Bachelor's or Master's study, First practical experience", "qualificationsPreferred" : "Experience in Startups, Experience in Marketing, Experience in Business Development, Experience in Project Management, Experience in Consulting", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Unser Ziel ist eine Solaranlage auf jedem Dach, ein Speicher in jedem Haus und ein E-Auto in jeder Garage. Enpal macht das möglich mit einer integrierten Gesamtlösung für dezentrale Energie – von Solaranlage und Batteriespeicher über Wallbox, Smart Meter bis zur Wärmepumpe. Herzstück ist unsere KI-gestützte Plattform Enpal.One http://Enpal.One+, die tausende Systeme intelligent vernetzt und Strombezug sowie -einspeisung effizient am Energiemarkt optimiert. Bist Du bereit für Lösungen, die mehr als nur ein Versprechen sind und täglich echte Lebensqualität in tausende Haushalte bringen? Was du bei Enpal gestaltest, liefert morgen sauberen Strom und verändert nachhaltig, wie wir Energie nutzen. DEINE AUFGABEN - Du unterstützt bei operativen und strategischen Initiativen im Performance Marketing, insbesondere bei der Planung, Erstellung und Optimierung von AI-generierten Werbeanzeigen - Du wirkst bei der Umsetzung und Weiterentwicklung von Paid-Marketing-Kampagnen mit und hilfst dabei, deren Performance kontinuierlich zu verbessern - Du unterstützt bei der Erstellung von Creatives mit AI-Tools sowie bei der Optimierung von Landing Pages - Du arbeitest eng mit dem Marketing- und Managementteam zusammen und erhältst Einblicke in strategische Entscheidungsprozesse - Du identifizierst eigenständig Optimierungspotenziale im Marketing und bringst eigene Ideen ein konzipierst eigene Kampagnen- und Creative-Konzepte - Du übernimmst kleinere Growth-Projekte oder Teilprojekte und begleitest diese von der Konzeption bis zur Umsetzung - Du unterstützt das Team bei ad-hoc Projekten und im Tagesgeschäft DEIN PROFIL - Du bist aktuell in einem Bachelor- oder Masterstudium in einer Top Tier Business School eingeschrieben, idealerweise im Bereich Wirtschaft, Marketing oder einem verwandten Studiengang - Du hast erste praktische Erfahrungen durch Praktika oder Werkstudententätigkeiten, z. B. in Startups, im Marketing, Business Development, Project Management oder Consulting - Du bringst Kreativität mit und hast Freude daran, neue Ideen zu entwickeln und umzusetzen - Du arbeitest analytisch, strukturiert und eigenständig - Du überzeugst durch eine proaktive und lösungsorientierte Denkweise - Du hast Spaß an Kommunikation und Zusammenarbeit mit unterschiedlichen Stakeholdern - Du interessierst dich für Entrepreneurship, Marketing und Wachstumsthemen - Du kannst Aufgaben priorisieren und behältst auch in einem dynamischen Umfeld den Überblick - Du hast einen hohen Qualitätsanspruch an deine Arbeit und bist motiviert, Verantwortung zu übernehmen - Du verfügst über sehr gute Deutsch- und Englischkenntnisse Du bist interessiert, auch wenn du nicht alle Anforderungen erfüllst? Bewirb dich trotzdem! Wir freuen uns darauf, dein Potenzial zu entdecken - unabhängig davon, ob deine Erfahrung jede einzelne Voraussetzung erfüllt. ☀️ DARAUF KANNST DU DICH FREUEN - Arbeite in Deutschlands erstem grünen Unicorn - Gestalte aktiv die solare Energiewende mit. - Die Sonne scheint auf der ganzen Welt - Bei Enpal arbeitest du mit einem hochmotivierten, diversen Team aus über 65 Nationalitäten. - Das ideale Setup für deinen Fokus - Wir sind überzeugt, dass exzellente Ergebnisse dort entstehen, wo die Bedingungen stimmen. Deshalb setzen wir auf ein hybrides Arbeitskonzept, das dir die Freiheit gibt, immer genau so zu arbeiten, wie es am besten zu deinen Aufgaben passt. Du brauchst neue Impulse auf internationalem Niveau? Mit Workflex bieten wir, abhängig von deiner Verantwortung, die Möglichkeit, deine Tätigkeit bis zu 30 Tage im Jahr ins Ausland zu verlegen. - Grown-up Business & Startup Spirit - In unserem modernen Office in Berlin-Friedrichshain findest du von höhenverstellbaren Tischen, Tischtennisplatte bis gefüllten Getränkekühlschränken und Barista-Coffee alles was das Herz begehrt. - Dein Kick-start bei Enpal - Onboarding-Tag mit Welcome Bag, Buddy-Programm und einem Team, das dich wirklich abholt. - Bleib auf dem Laufenden & gestalte mit - Transparente All-Hands, kurze Entscheidungswege und eine offene Feedback-Kultur, denn ohne Fehler gibt es keinen Fortschritt. - Energiewende geht nur gemeinsam - Bei Enpal erwartet dich ein legendärer Teamspirit und unvergessliche Team- und Companyevents. - Dein Extra-Boost - 29 + 2 Urlaubstage, vergünstigte Mitgliedschaft bei Wellhub und Corporate Benefits. Alles, was dir hilft, Arbeit und Leben gut zu verbinden. Wir bei Enpal sind stolz auf die Vielfältigkeit unseres Teams. Weder bei der Einstellung noch während des Beschäftigungsverhältnisses werden Entscheidungen auf Basis von Hautfarbe, Religion oder religiösen Glaubens, ethnischer oder nationaler Herkunft, Nationalität, Geschlechteridentität, sexuelle Orientierung, Behinderung oder Alter getroffen. Enpal steht für einen sicheren Arbeitsplatz und geht gegen Diskriminierung und Belästigung jeglicher Art vor.", "summaryDescription" : "Working Student Marketing (w/m/d) at Enpal. Skills: Performance Marketing, Campaign Optimization, Creative Concepts, Growth Projects. Support operational initiatives. Support strategic initiatives", "createdAt" : "2026-06-16T00:28:56.942", "lastUpdated" : "2026-06-16T12:01:16.683", "ingestTimestamp" : "2026-06-16T00:28:56.942", "mongoId" : "6a3050a0f292fd229cef2fdd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "AI-generated ads", "Creative development", "Analytical", "Structured", "Independent", "Solution-oriented", "Prioritization", "Performance Marketing", "Campaign Optimization", "Creative Concepts", "Growth Projects", "Paid Marketing", "Campaign Management", "Landing Page Optimization", "Project Management", "Energy Market", "Decentralized Energy", "Solar Energy", "Battery Storage", "Electric Vehicles", "AI Platform", "Marketing", "Growth Topics", "Entrepreneurship", "AI Tools" ], "skillCount" : 25, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 708.896, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6b6174d8ee00a0911fbe", "title" : "Applied AI Engineer", "company" : "Cadence Solutions", "industry" : "Healthcare", "salary" : { "min" : 165000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Applied AI Engineer in the United States, adjusted for industry and remote work." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T07:41:02.123", "fingerprint" : "b4a6da4d313b6692e1a191f1e4f67748dc17e7e357d10a7f188c8b340021fe6b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/solutions/jobs/4680768006", "externalId" : "4680768006", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, ML, LLM, RAG, Embeddings, Vector stores, OpenAI, Anthropic, Open-source models", "professionalSkills" : [ "System design", "Cost efficiency", "Reliability engineering", "Observability" ], "hardSkillsList" : [ "Prompt engineering", "Tool use", "Structured outputs", "Retrieval optimization", "Grounding", "SFT", "RLHF", "LoRA" ], "hardSkills" : [ { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Tool use", "level" : "intermediate" }, { "name" : "Structured outputs", "level" : "intermediate" }, { "name" : "Retrieval optimization", "level" : "intermediate" }, { "name" : "Grounding", "level" : "intermediate" }, { "name" : "SFT", "level" : "intermediate" }, { "name" : "RLHF", "level" : "intermediate" }, { "name" : "LoRA", "level" : "intermediate" } ], "majorSkills" : "Applied AI, Agent systems, LLM workflows, RAG pipelines", "majorSkillsList" : [ "Applied AI", "Agent systems", "LLM workflows", "RAG pipelines" ], "coreResponsibilities" : "Design clinical AI agents, Build clinical AI agents, Deploy clinical AI agents, Reason over patient context, Invoke tools, Generate care recommendations, Own reliability, Own observability, Own cost efficiency, Build RAG pipelines, Optimize RAG pipelines, Develop evaluation frameworks, Design agent orchestration, Translate care needs", "teamCollaboration" : "Clinical teams; Product teams; Engineering teams", "domainKnowledge" : "Clinical data; Clinical Intelligence platform; Clinical knowledge bases; Treatment protocols; HIPAA; SOC 2; Clinical data handling", "domainList" : [ "clinical-data", "clinical-intelligence-platform", "clinical-knowledge-bases", "treatment-protocols", "hipaa", "soc-2", "clinical-data-handling" ], "domainSpecificKnowledge" : [ "Clinical data", "Clinical Intelligence platform", "Clinical knowledge bases", "Treatment protocols", "HIPAA", "SOC 2", "Clinical data handling" ], "problemSolvingSkills" : "Error recovery; Root cause analysis", "outcomesObjectives" : "Surface proactive care recommendations; Take action on behalf of clinicians", "qualificationsBasic" : "Bachelor's or Master's degree, 3+ years software engineering, 2+ years AI/ML production, Hands-on LLM APIs, Experience building RAG systems", "qualificationsPreferred" : "Agent frameworks experience preferred, Fine-tuning experience preferred, Healthcare experience preferred, Regulated-industry experience preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Sixty million Medicare seniors live with chronic disease. The care system sees most of them twice a year. Cadence is building the infrastructure to support them every day. Cadence is a clinical AI company that delivers continuous, proactive care for older adults with chronic conditions like hypertension, heart failure, and diabetes. We pair patients with a dedicated clinical team, integrate deeply into health system EMRs and workflows, and use our Clinical Intelligence platform to monitor vitals, surface risk early, optimize medications, and close care gaps between visits. The result: patients engage with care 100x more than before Cadence, clinicians focus on judgment instead of administrative work, and Medicare saves $2M a week. We operate as a full clinical care delivery organization, not a software vendor. Our clinicians work alongside health system partners, extending the reach of local primary care providers into patients' homes. We're now applying AI agents across these workflows – from alert review and medication titration to lifestyle coaching and care coordination – with clinicians always in control of clinical decisions. The Role We're hiring an Applied AI Engineer to design and ship production agents that synthesize real-time clinical data, surface proactive care recommendations, and take action on behalf of clinicians. You will take agent architectures from prototype to production in a domain where reliability directly affects patient outcomes. You'll own the full lifecycle of AI-powered clinical workflows: retrieval, reasoning, tool use, evaluation, and safety guardrails. If you've built agentic systems at scale and want your work to matter beyond engagement metrics, we’d love to speak with you. What You'll Do Design, build, and deploy clinical AI agents that reason over patient context, invoke tools, and generate care recommendations. Own reliability, observability, and cost efficiency of LLM-powered workflows at scale. Build and optimize RAG pipelines over clinical knowledge bases, treatment protocols, and real-time patient data. Develop evaluation frameworks: offline benchmarks, safety tests, regression suites, and LLM-as-judge pipelines wired into CI/CD. Design multi-step agent orchestration: planning, memory, tool use, error recovery, and human-in-the-loop escalation paths. Collaborate with clinical, product, and engineering teams to translate patient care needs into AI system design. Stay at the forefront of AI and engineering best practices, continuously pushing the team to raise the bar on quality, performance, and architecture. What You Need Bachelor's or Master’s degree in Computer Science, Engineering or related field, or equivalent work experience 3+ years of software engineering experience, with 2+ years building AI/ML-powered systems in production Experience in a high-growth, fast-paced environment with end-to-end ownership from design through production Hands-on experience with LLM APIs (OpenAI, Anthropic, open-source models) including prompt engineering, tool use / function calling, and structured outputs Experience building RAG systems: embeddings, vector stores, retrieval optimization, and grounding Experience with agent frameworks or orchestration patterns (tool calling, planners, multi-agent coordination) preferred Fine-tuning experience (SFT, RLHF, LoRA) on domain-specific tasks preferred Healthcare or regulated-industry experience (HIPAA, SOC 2, clinical data handling) preferred Compensation Our job titles may span more than one career level. The base salary for this role typically ranges between $135,000 – $165,000 annual base salary, depending on experience, skills, seniority, and business needs. In addition to base salary, this role is eligible for equity as part of the total compensation package. Actual compensation may vary by location. Benefits & Perks Competitive pay & equity* Fully remote Comprehensive health coverage: Medical, dental & vision Paid time off 401k plan + matching Paid parental leave Home office stipend *benefit offerings may vary depending on job profile, job level and worker type Cadence is committed to equal opportunity and fairness regardless of race, color, religion, sex, gender identity, sexual orientation, nation of origin, ancestry, age, physical or mental disability, country of citizenship, medical condition, marital or domestic partner status, family status, family care status, military or veteran status or any other basis protected by local, state or federal laws. A notice to Cadence applicants: Our Talent team only directs candidates to apply through our official careers page at https://www.cadence.care/our-team. Cadence will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. We receive all applications through our website and anyone suggesting otherwise is not with Cadence. If you require a reasonable accommodation during the interview or hiring process, please notify your recruiter.", "summaryDescription" : "Applied AI Engineer at Cadence Solutions. Skills: Applied AI, Agent systems, LLM workflows, RAG pipelines. Design clinical AI agents. Build clinical AI agents", "postedDate" : "2026-06-13T20:46:58.939", "createdAt" : "2026-06-13T20:46:58.939", "lastUpdated" : "2026-06-15T07:41:02.123", "ingestTimestamp" : "2026-06-13T20:46:58.939", "mongoId" : "6a2c6b6174d8ee00a0911fbe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Prompt engineering", "Tool use", "Structured outputs", "Retrieval optimization", "Grounding", "SFT", "RLHF", "LoRA", "Applied AI", "Agent systems", "LLM workflows", "RAG pipelines", "System design", "Cost efficiency", "Reliability engineering", "Observability", "Clinical data", "Clinical Intelligence platform", "Clinical knowledge bases", "Treatment protocols", "HIPAA", "SOC 2", "Clinical data handling" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 702.9971, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c68e174d8ee00a09051d0", "title" : "Working Student Talent Operations - EMEA", "company" : "Applied Intuition", "industry" : "Recruiting", "salary" : { "min" : 16.0, "max" : 20.0, "currency" : "EUR", "frequency" : "Yearly" }, "location" : "Munich", "locations" : [ "Munich" ], "timestamp" : "2026-06-15T07:50:35.932", "fingerprint" : "4e9d8ed9409140856591a7469322917b121c3eb2c6ace120f520a89e62fbfa70", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/applied/6fd21b93-7fd8-46d9-80bf-cbd4cd93f697/application", "externalId" : "6fd21b93-7fd8-46d9-80bf-cbd4cd93f697", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Munich", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1371079,11.5753822" } ], "locationText" : "Munich, Germany", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Customer experience" ], "majorSkills" : "Talent Operations", "majorSkillsList" : [ "Talent Operations" ], "coreResponsibilities" : "Support talent operations team in coordinating interviews, Streamline interview process, Evaluate and recommend talent operations strategies, Plan and facilitate internal and external company events, Support onboarding for New Hires, Manage and improve interview training process, Perform other Talent/General Operations responsibilities", "teamCollaboration" : "Talent operations team; Operations team", "domainKnowledge" : "Talent Operations", "domainList" : [ "talent-operations" ], "domainSpecificKnowledge" : [ "Talent Operations" ], "qualificationsBasic" : "Currently enrolled in Bachelor's or Master's, Prior experience in coordination or administrative role, Basic understanding of Talent Operations function", "qualificationsPreferred" : "Talent operations or recruiting support experience preferred, Passionate about customer experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT APPLIED INTUITION Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co http://applied.co. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. We are looking for an energetic and ambitious Talent Operations Working Student to join the Applied Intuition team. You will play a substantial role in building and supporting the entire talent operations infrastructure from the ground up across the EMEA region. This role will provide you with an expanding set of responsibilities and more in a high growth and fast-paced environment. Responsibilities: - Support our talent operations team in coordinating candidate interviews (phone, virtual, & onsite) for all open roles across EMEA - Streamline the interview process from end-to-end to ensure that candidates have an amazing experience - Evaluate and recommend talent operations strategies and solutions to make our processes more efficient - Plan and facilitate internal and external company events across the EMEA region - Support onboarding for New Hires as the company continues to grow in EMEA - Manage and improve the interview training process for the entire EMEA organization - Other Talent/General Operations responsibilities as required by the operations team on an ad-hoc basis Requirements: - Currently enrolled in a Bachelor's or Master's degree program - Prior experience in a coordination or administrative role is a plus; talent operations or recruiting support experience preferred - Passionate about customer experience - Basic understanding of the Talent Operations function in a fast-moving business environment - Intuitive and able to identify potential areas of improvement in our operational cadence Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.", "summaryDescription" : "Working Student Talent Operations - EMEA at Applied Intuition. Skills: Talent Operations. Support talent operations team in coordinating interviews. Streamline interview process", "createdAt" : "2026-06-13T22:08:15.189", "lastUpdated" : "2026-06-15T07:50:35.932", "ingestTimestamp" : "2026-06-13T22:08:15.189", "mongoId" : "6a2c68e174d8ee00a09051d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Talent Operations", "Customer experience" ], "skillCount" : 2, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 690.2321, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306857f292fd229cfc38e7", "title" : "Working Student - IT Transformation (m/f/d)", "company" : "Redcare Pharmacy", "industry" : "Pharmaceuticals", "salary" : { "min" : 28000.0, "max" : 38000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Working Student in IT Transformation in Cologne, Germany, adjusted for the healthcare industry and part-time employment." }, "location" : "Cologne, Germany", "locations" : [ "Cologne", "Germany" ], "timestamp" : "2026-06-16T10:25:47.255", "fingerprint" : "2d1538fee2b8d0c7eac58135a9fd8f9247ca832c1ac0b5dfc33a5c405f06b1db", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Redcare-Pharmacy/744000132259689-working-student-it-transformation-m-f-d-", "externalId" : "744000132259689", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cologne", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.9383610,6.9599740" } ], "locationText" : "Cologne, Germany", "employmentType" : "PART_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "MS Office, Excel, PowerPoint, Jira, Confluence, Miro, Power BI", "professionalSkills" : [ "IT transformation", "Project planning", "Project execution", "Project monitoring", "Project coordination", "Project documentation", "Project progress tracking", "Project performance tracking" ], "majorSkills" : "IT Transformation, Project Management", "majorSkillsList" : [ "IT Transformation", "Project Management" ], "coreResponsibilities" : "Support IT Transformation department, Coordinate project activities, Maintain project documentation, Track project progress, Track project performance, Provide regular updates, Provide regular reports", "teamCollaboration" : "Working collaboratively across teams", "projectManagementSkills" : [ "Project planning", "Project execution", "Project monitoring", "Project coordination", "Project documentation", "Project progress tracking", "Project performance tracking" ], "domainKnowledge" : "IT organisations; Transformation initiatives", "domainList" : [ "it-organisations", "transformation-initiatives" ], "domainSpecificKnowledge" : [ "IT organisations", "Transformation initiatives" ], "toolProficiency" : [ "Jira", "Confluence", "MS Office", "Excel", "PowerPoint", "Miro", "Power BI" ], "documentationSkills" : "Project documentation", "qualificationsBasic" : "Bachelor's or Master's program enrollment, Business, IT, or related field enrollment, Basic understanding of Jira, Basic understanding of Confluence, Basic understanding of MS Office, Fluent in English, Fluent in German", "qualificationsPreferred" : "Knowing Miro, Knowing Power BI", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About Redcare Pharmacy: As Europe’s No.1 e-pharmacy Redcare Pharmacy is powered by passionate teams and cutting-edge innovation. We strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to our vision “Until every human has their health”. If you’re seeking a career that offers purpose and aligns with your values join us and start your #Redcareer today. About the role: This is your opportunity to gain hands-on experience in a dynamic environment where innovation meets strategy. As part of our IT Transformation department in Cologne, you will work side-by-side with experienced professionals who are shaping the future of Redcare's IT landscape. You’ll be part of exciting change and improvement initiatives that directly impact how IT operates across the organisation. About your tasks: * Support the IT Transformation department in the planning, execution, and monitoring of IT transformation projects, ensuring alignment with project goals and timelines. * Coordinate project activities, resources, and information to facilitate smooth project operations and communication among team members. * Maintain comprehensive project documentation, including project plans, status reports, meeting minutes , and risk registers. * Track project progress and performance, providing regular updates and reports to Transformation Managers and relevant stakeholders. ## Qualifications About you: * You are currently enrolled in a Bachelor's or Master's program in Business, IT, or a related field. * You bring a strategic mindset and a genuine interest in IT organisations and transformation. * you have basic understanding of Jira, Confluence, and MS Office (Excel, PowerPoint). Knowing Miro and Power BI is a plus * You are structured, proactive and enjoy working collaboratively across teams. * You are fluent in both English and German language. * You live around either Cologne, Munich or Sevenum area. ## Additional Information About your benefits: In order to provide our employees with the best possible support for their individual needs, we offer a wide range of benefits: * Sports: Stay healthy. Profit from a membership (M) package at Urban Sports Club, so that you can take advantage of a huge variety of sport offers. * Mental Health: Get quick and professional help from psychologists of Likeminded if you feel overwhelmed in private or professional life. Anonymous and free of charge. * Work from Home: If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU. * Mobility: We provide our employees with a fully costed Deutschland Ticket which can be used at any time. [Click here to learn more.](https://www.vrs.de/fileadmin/Dateien/Downloadcenter/Tarif/Deutschlandticket/VRSFlyerD-Ticket105x210K2_neutral.pdf) * And many more :)", "summaryDescription" : "Working Student - IT Transformation (m/f/d) at Redcare Pharmacy. Skills: IT Transformation, Project Management. Support IT Transformation department. 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We strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to our vision “Until every human has their health”. If you’re seeking a career that offers purpose and aligns with your values join us and start your #Redcareer today. About the role: This is your opportunity to gain hands-on experience in a dynamic environment where innovation meets strategy. As part of our IT Transformation department in Cologne, you will work side-by-side with experienced professionals who are shaping the future of Redcare's IT landscape. You’ll be part of exciting change and improvement initiatives that directly impact how IT operates across the organisation. About your tasks: * Support the IT Transformation department in the planning, execution, and monitoring of IT transformation projects, ensuring alignment with project goals and timelines. * Coordinate project activities, resources, and information to facilitate smooth project operations and communication among team members. * Maintain comprehensive project documentation, including project plans, status reports, meeting minutes , and risk registers. * Track project progress and performance, providing regular updates and reports to Transformation Managers and relevant stakeholders. ## Qualifications About you: * You are currently enrolled in a Bachelor's or Master's program in Business, IT, or a related field. * You bring a strategic mindset and a genuine interest in IT organisations and transformation. * you have basic understanding of Jira, Confluence, and MS Office (Excel, PowerPoint). Knowing Miro and Power BI is a plus * You are structured, proactive and enjoy working collaboratively across teams. * You are fluent in both English and German language. * You live around either Cologne, Munich or Sevenum area. ## Additional Information About your benefits: In order to provide our employees with the best possible support for their individual needs, we offer a wide range of benefits: * Sports: Stay healthy. Profit from a membership (M) package at Urban Sports Club, so that you can take advantage of a huge variety of sport offers. * Mental Health: Get quick and professional help from psychologists of Likeminded if you feel overwhelmed in private or professional life. Anonymous and free of charge. * Work from Home: If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU. * Mobility: We provide our employees with a fully costed Deutschland Ticket which can be used at any time. [Click here to learn more.](https://www.vrs.de/fileadmin/Dateien/Downloadcenter/Tarif/Deutschlandticket/VRSFlyerD-Ticket105x210K2_neutral.pdf) * And many more :)", "summaryDescription" : "Working Student - IT Transformation (m/f/d) at Redcare Pharmacy. Skills: IT Transformation, Project Management. Support IT Transformation department. Coordinate project activities", "postedDate" : "2026-06-15T18:08:48.000", "createdAt" : "2026-06-16T00:03:54.633", "lastUpdated" : "2026-06-16T08:44:31.817", "ingestTimestamp" : "2026-06-16T00:03:54.633", "mongoId" : "6a30618bf292fd229cf96f0a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "IT Transformation", "Project Management", "Strategic mindset", "Project planning", "Project execution", "Project monitoring", "Project coordination", "Project documentation", "Project progress tracking", "Project performance tracking", "IT organisations", "IT transformation", "Jira", "Confluence", "MS Office", "Excel", "PowerPoint", "Miro", "Power BI" ], "skillCount" : 19, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 688.02594, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.9 }, { "id" : "6a2c6ace74d8ee00a090e14e", "title" : "Applied AI Analyst", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Applied AI Analyst in the Technology industry in the US, adjusted for part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-15T14:00:20.014", "fingerprint" : "476874669a673a5a21ea780a31e7dc860ecdd1932b1f9296aa39beaf3a2d142d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4266798009", "externalId" : "4266798009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "AI, Generative AI, LLMs", "hardSkillsList" : [ "Data labeling", "Data transformation", "Content evaluation", "Content generation", "Text summarization", "Translation", "Data gathering", "Data compilation" ], "hardSkills" : [ { "name" : "Data labeling", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Content evaluation", "level" : "intermediate" }, { "name" : "Content generation", "level" : "intermediate" }, { "name" : "Text summarization", "level" : "intermediate" }, { "name" : "Translation", "level" : "intermediate" }, { "name" : "Data gathering", "level" : "intermediate" }, { "name" : "Data compilation", "level" : "intermediate" } ], "majorSkills" : "Generative AI, LLMs, Data labeling", "majorSkillsList" : [ "Generative AI", "LLMs", "Data labeling" ], "coreResponsibilities" : "Rate AI model performance, Label content elements, Assign predefined categories, Evaluate content quality, Generate labels for concepts, Create training data, Apply data transformations, Review data for product features, Label model outputs, Identify content types, Order or rank items, Create prompts for AI, Evaluate content relevance, Generate AI responses, Rewrite existing text, Produce text summaries, Convert audio to text, Translate languages, Gather data for AI models, Compile digital content", "domainKnowledge" : "Generative AI; Large language models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models" ], "innovationCreativity" : "AI development", "qualificationsBasic" : "Bachelor's degree in humanities, Professional proficiency in English, Expert proficiency in English", "qualificationsPreferred" : "Advanced degrees preferred, Master's degree preferred, PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "Applied AI Analyst at Innodata Inc.. Skills: Generative AI, LLMs, Data labeling. Rate AI model performance. Label content elements", "postedDate" : "2026-06-14T08:10:10.888", "createdAt" : "2026-06-14T08:10:10.888", "lastUpdated" : "2026-06-15T14:00:20.014", "ingestTimestamp" : "2026-06-14T08:10:10.888", "mongoId" : "6a2c6ace74d8ee00a090e14e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data labeling", "Data transformation", "Content evaluation", "Content generation", "Text summarization", "Translation", "Data gathering", "Data compilation", "Generative AI", "LLMs", "Large language models" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 686.4657, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305712f292fd229cf336fc", "title" : "Working Student (m/f/d) Market Access", "company" : "Fresenius", "industry" : "Healthcare", "salary" : { "min" : 24000.0, "max" : 32000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Working Student (Entry) in Healthcare in Bad Homburg, Germany, adjusted for part-time employment." }, "location" : "Bad Homburg (EK1)", "locations" : [ "Bad Homburg (EK1)", "Germany" ], "timestamp" : "2026-06-16T11:59:18.426", "fingerprint" : "28d0fa520ba13582fbc5d7a2a2bcf1e3004b1504a73aa67ece6b790871181b89", "source" : "workday", "language" : "en", "applyUrl" : "https://freseniusglobal.wd3.myworkdayjobs.com/FK_Careers_DE/job/Bad-Homburg-EK1/Working-Student--m-f-d--Market-Access_R-01026015-1", "externalId" : "R-01026015", "industryFunction" : { }, "locationPoint" : "49.32637,7.33867", "structuredLocations" : [ { "city" : "Bad Homburg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "50.2283803,8.6130128" } ], "locationText" : "Bad Homburg, Germany", "employmentType" : "PART_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Value communication strategies", "Synthesizing scientific information", "Compiling reference packages", "Designing presentations", "Communicating research findings", "Administrative tasks" ], "hardSkillsList" : [ "Data research", "Analyzing scientific information" ], "hardSkills" : [ { "name" : "Data research", "level" : "intermediate" }, { "name" : "Analyzing scientific information", "level" : "intermediate" } ], "majorSkills" : "Market Access, Health Economics, Nutrition Sciences, Pharmacy, Medicine, Biology", "majorSkillsList" : [ "Market Access", "Health Economics", "Nutrition Sciences", "Pharmacy", "Medicine", "Biology" ], "coreResponsibilities" : "Conduct internet-based data research, Assist in analyzing scientific information, Assist in synthesizing scientific information, Compile reference packages for marketing materials, Design engaging presentations, Design visually appealing presentations, Communicate research findings, Contribute to administrative tasks", "domainKnowledge" : "Clinical nutrition portfolio; Market Access; Health Economics; Nutrition Sciences; Pharmacy; Medicine; Biology", "domainList" : [ "clinical-nutrition-portfolio", "market-access", "health-economics", "nutrition-sciences", "pharmacy", "medicine", "biology" ], "domainSpecificKnowledge" : [ "Clinical nutrition portfolio", "Market Access", "Health Economics", "Nutrition Sciences", "Pharmacy", "Medicine", "Biology" ], "toolProficiency" : [ "MS Office", "PowerPoint", "EndNote" ], "communicationSkills" : "Excellent communication skills; Excellent written English; Excellent spoken English", "continuousLearning" : "Professional and personal development; Gaining practical experience", "innovationCreativity" : "Implement own ideas", "specialRequirements" : "Regular on-site presence required", "qualificationsBasic" : "Currently enrolled in full-time study program, Interest in reading medical-scientific literature, Excellent communication skills, Diligently and independently work, High level of initiative, Excellent written and spoken English", "qualificationsPreferred" : "Basic knowledge of EndNote, Basic knowledge of MS Office (PowerPoint), Knowledge of the German language", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Are you studying a science or medical-related field and want to look behind the scenes of an international healthcare company during your studies? Then take the opportunity to apply your knowledge in practice, contribute to the development of value communication strategies for our clinical nutrition portfolio, and gain insight into the daily operations of the Global Market Access Team. ## **Your assignments** * You conduct internet-based data research and assist our team in analyzing and synthesizing scientific information. * Additionally, you are responsible for compiling reference packages for marketing materials. * Your tasks also include designing engaging and visually appealing presentations to effectively communicate our research findings. * You will actively contribute to a variety of administrative tasks, ensuring smooth and efficient operations. ## **Your profile** * You are currently enrolled in a full-time study program in Market Access, Health Economics, Nutrition Sciences, Pharmacy, Medicine, Biology, or a related field * Basic knowledge of EndNote and MS Office (especially PowerPoint) is an advantage * You have an interest in reading and analyzing medical-scientific literature * In addition to your excellent communication skills, you work diligently and independently * You demonstrate a high level of initiative * Your profile is rounded off by excellent written and spoken English skills; knowledge of the German language is a plus ## **Our offer to you** As a working student (m/f/d), there is a lot for you to discover at Fresenius. Add purpose to your career: * Comprehensive support and involvement in exciting tasks, processes and projects in the specialist department as well as the opportunity to contribute and implement your own ideas. * Professional and personal development by gaining practical experience during your studies. * Opportunities to network with colleagues and junior staff from other areas of the company. * The foundation for a possible permanent position at Fresenius: this is proven by the success stories of former interns and working students. **Start:** September 2026 **Duration:** At least 6 months **Location:** Bad Homburg (Remote work possible upon agreement; regular on-site presence required) **Do you have general questions about the application process at Fresenius? You will find the answers on this page!**[**FAQ | Fresenius Careers**](https://karriere.fresenius.de/en-US/how-to-apply/faq)", "summaryDescription" : "Working Student (m/f/d) Market Access at Fresenius. Skills: Market Access, Health Economics, Nutrition Sciences, Pharmacy, Medicine, Biology. Conduct internet-based data research. Assist in analyzing scientific information", "postedDate" : "2026-06-16T03:52:27.223", "createdAt" : "2026-06-16T03:52:27.192", "lastUpdated" : "2026-06-16T11:59:18.426", "ingestTimestamp" : "2026-06-16T03:52:27.192", "mongoId" : "6a305712f292fd229cf336fc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://freseniusglobal.wd3.myworkdayjobs.com/FK_Careers_DE/job/Bad-Homburg-EK1/Working-Student--m-f-d--Market-Access_R-01026015-1", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data research", "Analyzing scientific information", "Market Access", "Health Economics", "Nutrition Sciences", "Pharmacy", "Medicine", "Biology", "Value communication strategies", "Synthesizing scientific information", "Compiling reference packages", "Designing presentations", "Communicating research findings", "Administrative tasks", "Clinical nutrition portfolio", "MS Office", "PowerPoint", "EndNote" ], "skillCount" : 18, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "_score" : 684.7918, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c9fae74d8ee00a09a04cc", "title" : "AI Applied Researcher", "company" : "Pelagon", "industry" : "Pelagon", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for AI Applied Researcher in Paris, France, adjusted for Lead seniority and technology industry." }, "location" : "Paris", "locations" : [ "Paris" ], "timestamp" : "2026-06-15T12:52:03.451", "fingerprint" : "721db27ac8f60cb21f5f88e5c7d37ff78a35b58e9f29ea361a78e8cadd682dae", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/hexa/8ab7f165-f414-49ab-875e-1442ebd43d5d/application", "externalId" : "8ab7f165-f414-49ab-875e-1442ebd43d5d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8588897,2.3200410" }, { "city" : "Marseille", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "43.2963986,5.3777888" }, { "city" : "Amsterdam", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Paris, France; Marseille, France; Amsterdam, Netherlands", "employmentType" : "FULL_TIME", "technicalSkills" : "AI, ML, Multimodal models, Acoustic models, Edge ML", "professionalSkills" : [ "Data strategy", "Model optimization" ], "hardSkillsList" : [ "Model training", "Model deployment", "Self-supervised pre-training", "Fine-tuning", "Sensor fusion", "Model distillation" ], "hardSkills" : [ { "name" : "Model training", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Self-supervised pre-training", "level" : "intermediate" }, { "name" : "Fine-tuning", "level" : "intermediate" }, { "name" : "Sensor fusion", "level" : "intermediate" }, { "name" : "Model distillation", "level" : "intermediate" } ], "majorSkills" : "AI Applied Research, Multimodal Acoustic Models, Edge AI, Maritime Protection", "majorSkillsList" : [ "AI Applied Research", "Multimodal Acoustic Models", "Edge AI", "Maritime Protection" ], "coreResponsibilities" : "Design multimodal acoustic models, Train multimodal acoustic models, Ship multimodal acoustic models, Build training pipeline, Fuse sensor modalities, Shape data strategy, Distill models for edge, Optimize models for edge, Close loop with sea trials, Turn field data into iteration", "domainKnowledge" : "Autonomous maritime protection; Underwater threats; Physical-AI strategies; Autonomous driving; Robotics; Marine protection; Underwater domain; Edge computing; Power-constrained hardware", "domainList" : [ "autonomous-maritime-protection", "underwater-threats", "physical-ai-strategies", "autonomous-driving", "robotics", "marine-protection", "underwater-domain", "edge-computing", "power-constrained-hardware" ], "domainSpecificKnowledge" : [ "Autonomous maritime protection", "Underwater threats", "Physical-AI strategies", "Autonomous driving", "Robotics", "Marine protection", "Underwater domain", "Edge computing", "Power-constrained hardware" ], "innovationCreativity" : "R&D", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "qualificationsBasic" : "Models deployed in production, Audio, signal, time-series experience, Physical-AI mindset, ML stack comfort, Bias for sea success", "qualificationsPreferred" : "Signal processing background, Defense experience, Maritime experience, Robotics experience, Autonomous driving experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Full-time · On-site (Paris Marseille Amsterdam) The sea is the physical layer of the economy—the conduit for our energy, communications, and trade. It is also Europe’s exposed flank. Pelagon is building the answer. Founded by Aymeric https://www.linkedin.com/in/adepontbriand/?locale=en (serial deeptech entrepreneur; founded & exited Scortex, Leading AI solution for manufacturing quality) and Gauthier https://www.linkedin.com/in/gauthier-bouxin/?locale=en (Navy officer and McKinsey), Pelagon is building a foundational multimodal acoustic model for autonomous maritime protection (underwater and surface) in service of European sovereignty. It will be deployed on a distributed, autonomous network of vectors (UUVs, buoys, sailbuoys, seabed…) to provide real-time understanding of underwater threats. France and Europe have world-class acoustic engineers and a long history in underwater warfare. By bridging this expertise with modern physical-AI strategies (as seen in autonomous driving and robotics). Europe is still missing it’s naval NeoPrime, Pelagon aims to become to lead the way in autonomous marine protection—from detection to interception—partnering with leading navies, primes, and neo-primes, while also operating its own fleet as a service. Pelagon is backed by Hexa http://hexa.cc/, the pioneer startup studio in Europe, which has launched 35+ companies, including unicorns like Front, Aircall, and Spendesk, combining €230m+ ARR and €750m raised. Why this matters The sea is the physical layer of the economy — and Europe's most exposed flank. Submarines, drones and threats move through it unseen because the ocean is opaque by default. Pelagon exists to change that: to give Europe a real-time, sovereign understanding of what moves beneath the surface, from detection to interception. At the core of that mission is a maritime foundational perception model — Pelagon's equivalent of the perception stack that made autonomous driving possible, but for the underwater domain. As an AI Engineer, you own the models at the heart of it, from research to deployment on a distributed, autonomous fleet of UUVs, buoys, sailbuoys and seabed sensors. What you'll do - Design, train and ship state-of-the-art multimodal and acoustic models for underwater detection, classification and localization. - Build the training pipeline end to end: self-supervised pre-training on large unlabeled acoustic corpora, then fine-tuning for specific threats. - Fuse acoustic, kinematic and other sensor modalities into a single representation that holds up in low-SNR, real-world conditions. - Shape Pelagon's data strategy — how we capture, curate and compound proprietary data from our own fleet into a durable advantage. - Distill and optimize models to run on the edge: compute- and power-constrained hardware aboard autonomous vectors at sea. - Close the loop with sea trials — turn field data and failure cases into the next iteration. What we look for - Strong track record training models deployed in production, ideally on audio, signal, time-series or other non-image modalities. - A physical-AI mindset: you've worked where models meet messy sensor data and real hardware, not just clean benchmarks. - Instinct for data strategy — you treat the data flywheel as a core part of the model, not an afterthought. - Confortable across the ML stack: data, architecture, training, evaluation and deployment. Bias for shipping; you measure success by what works at sea. - Bonus: background in signal processing, or experience in defense, maritime, robotics or autonomous driving. Why join now - Founding ownership. You'll be one of the first engineers and will define the technical foundation of the company. Meaningful equity comes with that. - A mission with weight. This is hardware that protects critical infrastructure and Europe's maritime space. - Real things, in the real ocean, fast. You'll see your work in the water within weeks, not years. - AI-first, at the edge, in the real world. We train our own models and run them where it counts: in the water, on the device. You'll be solving the edge-ML and power problems most companies only talk about. - A sovereign, European deeptech at the inflection point of a market with strong NATO and EU policy momentum behind it.", "summaryDescription" : "AI Applied Researcher at Pelagon. Skills: AI Applied Research, Multimodal Acoustic Models, Edge AI, Maritime Protection. Design multimodal acoustic models. Train multimodal acoustic models", "createdAt" : "2026-06-14T09:42:25.897", "lastUpdated" : "2026-06-15T12:52:03.451", "ingestTimestamp" : "2026-06-14T09:42:25.897", "mongoId" : "6a2c9fae74d8ee00a09a04cc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Model training", "Model deployment", "Self-supervised pre-training", "Fine-tuning", "Sensor fusion", "Model distillation", "AI Applied Research", "Multimodal Acoustic Models", "Edge AI", "Maritime Protection", "Data strategy", "Model optimization", "Autonomous maritime protection", "Underwater threats", "Physical-AI strategies", "Autonomous driving", "Robotics", "Marine protection", "Underwater domain", "Edge computing", "Power-constrained hardware" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "_score" : 684.725, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d594274d8ee00a0b89465", "title" : "SaaS Sales B2B (Working Student)", "company" : "Friendly Captcha", "industry" : "Cybersecurity", "salary" : { "min" : 18000.0, "max" : 24000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level, part-time SaaS Sales B2B working student in Wörthsee, Germany, adjusted for the cybersecurity industry." }, "location" : "Wörthsee, DE", "locations" : [ "Wörthsee", "DE" ], "timestamp" : "2026-06-16T04:59:22.664", "fingerprint" : "88135ce277e3ab7e4683ebbc55f7575dec0bc7d91752d934daf763cc84ea498d", "source" : "personio", "language" : "en", "applyUrl" : "https://friendlycaptcha.jobs.personio.de/job/2631860", "externalId" : "2631860", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Wörthsee", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.0727885,11.2005513" } ], "locationText" : "Wörthsee, Germany", "employmentType" : "PART_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Data analysis" ], "majorSkills" : "B2B SaaS sales", "majorSkillsList" : [ "B2B SaaS sales" ], "coreResponsibilities" : "Support lead research and qualification, Build relationships with potential customers, Conduct product demos, Help customers find solutions, Assist in preparing proposals, Assist in preparing sales materials, Support existing customers, Assist with upselling activities, Research market developments, Research competitors, Research potential target customers, Maintain customer data, Maintain sales pipelines, Create sales reports, Create sales forecasts, Analyze KPIs, Contribute to improving sales processes", "teamCollaboration" : "Direct collaboration with founders; Direct collaboration with sales team", "domainKnowledge" : "B2B SaaS environment; Cybersecurity", "domainList" : [ "b2b-saas-environment", "cybersecurity" ], "domainSpecificKnowledge" : [ "B2B SaaS environment", "Cybersecurity" ], "toolProficiency" : [ "CRM systems" ], "communicationSkills" : "English written; English verbal", "continuousLearning" : "Hands-on experience in B2B SaaS sales", "qualificationsBasic" : "Excellent English written and verbal skills, Confident handling of Excel/Google Sheets, Structured, goal-oriented, and independent work style, Outgoing personality", "qualificationsPreferred" : "German language skills, Initial experience with CRM systems, Initial experience with sales processes", "workSiteFlexibility" : "Flexible", "rawDescription" : "Who we are Friendly Captcha is a cybersecurity startup from Munich, Germany. We protect over 25 million websites and apps from spam and bots – fully automated in the background, without requiring users to solve annoying tasks. Our solution is accessible and privacy-friendly in compliance with GDPR/CCPA. We were honored with the German Founders Award 2023 for our innovative technology. Your mission Lead Qualification: You support the research and qualification of leads in the B2B SaaS environment Sales: You build relationships with potential customers, conduct product demos, and help them find the right solution for their use case Proposal Preparation: You assist in preparing proposals and sales materials Customer Support: You support existing customers and assist with upselling activities Market Analysis: You research market developments, competitors, and potential target customers CRM Management: You maintain customer data and sales pipelines in our CRM system Reporting: You create sales reports, forecasts, and analyze KPIs Process Optimization: You contribute to improving our sales processes What we offer Hands-on experience in B2B SaaS sales at a growing cybersecurity company Insight into the entire sales cycle – from lead to contract closing Direct collaboration with founders and the sales team Flexible work schedule Small, focused team with flat hierarchies Office in Munich-West/Wörthsee by the lake Fair compensation, MacBook, coffee, and team events Your profile Studies: Business Administration, Business Informatics, Computer Science, or Cybersecurity Communication: Excellent English written and verbal skills Numerical Aptitude: Confident handling of Excel/Google Sheets and data analysis Work Style: Structured, goal-oriented, and independent Personality: Outgoing with an interest in B2B sales Nice-to-have: German language skills, initial experience with CRM systems or sales processes Requirements Why us?", "summaryDescription" : "SaaS Sales B2B (Working Student) at Friendly Captcha. Skills: B2B SaaS sales. Support lead research and qualification. 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Our award-winning whole body scan is fast (under 1 hour), safe (MRI has no ionizing radiation), and non-invasive (no contrast). Our unique integrated stack of optimized hardware, software, and increasingly AI, coupled with the patient-centric experience across our domestic and global clinics, have allowed us to lead the change against “we caught it too late again\". We are looking for a Senior AI Applied Scientist II to independently own a model domain end-to-end within our AI Research org, from problem framing through validated, production-deployed models. As Prenuvo’s AI org moves from task-specific models toward foundational work (meaning pre-trained backbones, multi-task heads, and the addition of clinical text and structured data), we need scientists who design experiments rather than only run them, diagnose failure modes on their own, and shape how the team approaches a whole class of problems. You will work at the intersection of deep learning, medical imaging, and clinical translation, accountable for both the rigor of the science and the delivery of the work. This hybrid role is based in Vancouver. We expect you to be technically credible enough to review model architectures, challenge assumptions, and roll up your sleeves when it matters. We also expect you to build a team environment where people do their best work. This role does not provide visa sponsorship. Applicants must be legally authorized to work in Canada at the time of hire and must not require employer sponsorship for a work visa (current or future). Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people’s lives! What You’ll Do Lead development of foundation models and multimodal systems for whole-body MRI, advancing self-supervised and large-scale representation learning across imaging, radiology, lab, and longitudinal data. Own experiment design and validation study scoping for your domain, diagnosing failure modes independently. Drive the data quality, annotation criteria, and quality standards your models depend on, engaging directly with clinical framing for your domain. Guide the strategic application of generative and agentic AI, including LLM adaptation and workflow orchestration, to accelerate research and clinical workflows. Contribute modeling approaches that others adopt, and define and execute a research roadmap that advances Prenuvo's foundation-model capabilities. Lead clinical review for your domain, partner across clinical, annotation, and ML Engineering, and raise the code-quality bar for the team. Deliver production-ready models with documented validation, clinical sign-off, and performance benchmarks, owning the technical narrative for your domain. What You’ll Bring Technical depth Strong MSc or PhD from a top-tier institution in CS, biomedical engineering, statistics, mathematics, or a related field. A minimum of 4 academic or industry years of ML experience, with a strong publication or applied-research record including at least one first-author work. Expert-level PyTorch and the ability to write and review production-quality research code. Demonstrated ability to own a model domain end-to-end (architecting, training, validating, deploying to a real performance bar) and to design experiments and validation studies independently. Deep fluency in self-supervised learning: masked image modeling, contrastive learning, JEPA-style methods, knowledge distillation, and large-scale representation learning. Strong command of modern vision and multimodal architectures: Vision Transformers, multimodal transformers, foundation models, and vision-language models. Experience in medical image analysis (segmentation, detection, classification, biomarker extraction, longitudinal modeling) and multimodal fusion of imaging with radiology, clinical, lab, and structured patient data. Experience applying generative and agentic AI (LLM adaptation, workflow orchestration) to healthcare or research applications. Strong collaboration skills across ML Engineering, Product, and Clinical Ops, with high standards for scientific rigor balanced against delivery speed. Nice to have Experience in body composition, vascular imaging, organ segmentation, or lesion detection Familiarity with FDA 510(k) submission processes or predicate-based regulatory pathways Publications in top journals and conferences such as ISMRM, NeurIPS, MICCAI, ICML, RSNA, etc. Experience with interpretable AI and state-of-the-art AI methods Prior work in a health tech or clinical AI environment Our Values First: we are Pioneers Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit and determination to maintain momentum. This journey is as challenging as it is rewarding. Second: we are Platform-Builders We’re always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of what’s ahead – in a mindset of ownership and duty to our mission. Above all: we are Patients We could all be the next person who walks through our very doors, seeking clarity or peace of mind. We are proud of our impact on our patients’ lives, and we won’t stop till everyone can benefit from our work. What We Offer An avenue to make a positive impact on people's lives and their health We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member Growth opportunities are at the heart of our people journey, we’re doing big things with bright minds - there is no single path to success, it can be shaped along the way Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family Prenuvo offers eligible Canadian employees access to both RRSP and TFSA retirement savings plans, with immediate, optional enrollment and the flexibility to invest and save for the future on your own terms. While Prenuvo provides access to these plans, the company does not currently offer matching contributions. The base salary for this role ranges from $150,000-$177,000 CAD per year, depending upon experience and geographic location We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal, provincial, and state rules. Please be advised that official communication from our recruitment team will only come from our authorized domain [prenuvo.com]. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to jobs@prenuvo.com.", "summaryDescription" : "Senior AI Applied Scientist II at Prenuvo. Skills: Machine Learning, Data Engineering, Cloud Data Stacks, ML Frameworks. Develop and deploy machine learning models. Build and maintain data pipelines", "postedDate" : "2026-06-15T23:26:23.642", "createdAt" : "2026-06-15T23:26:23.642", "lastUpdated" : "2026-06-16T08:02:15.912", "ingestTimestamp" : "2026-06-15T23:26:23.642", "mongoId" : "6a30678df292fd229cfbf1c6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Deep learning", "Data pipeline development", "ETL processes", "Data warehousing", "Cloud computing", "A/B testing", "Causal inference", "Machine Learning", "Data Engineering", "Cloud Data Stacks", "ML Frameworks", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "Modelling skills", "Healthcare data", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 681.8121, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3079aef292fd229c0343d6", "title" : "Principal Software Engineer, Applied AI", "company" : "Highspot", "industry" : "Engineering", "salary" : { "min" : 275000.0, "max" : 425000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Principal Software Engineer in Seattle, adjusted for executive seniority and SaaS industry." }, "location" : "Seattle", "locations" : [ "Seattle" ], "timestamp" : "2026-06-16T15:02:14.810", "fingerprint" : "68a6a4f7aa66915100a5f86b0f8b90b665f2e681446a17bd56afae9f0dd72616", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/highspot/f222ad5c-b7dd-43c4-9008-ee1a53174afa/apply", "externalId" : "f222ad5c-b7dd-43c4-9008-ee1a53174afa", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description About Highspot Highspot is pioneering the category that is fundamentally changing the way companies increase sales productivity. On a mission to transform the way millions of people work with sales enablement, Highspot is committed to building breakthrough software with a spark of magic. We believe a great place to work is about more than the work – it’s about what the company stands for, and how it authentically represents its values in the real world. To this end, we have put intentional focus on creating equitable workspaces for each of our employees. Our goal is to create a culture where everyone feels a deep sense of belonging and is empowered to be an agent of change, with the ability to transform themselves, their workplace, and their world. About the Role We are looking for a Principal Software Engineer to join our Applied AI team. This is a rare opportunity to work at the cutting edge of Generative AI and Agentic systems – applied directly to high-impact business problems at enterprise scale. Highspot's AI challenges are uniquely interesting: our platform ingests millions of heterogeneous enterprise documents (slides, PDFs, spreadsheets, CRM records, analytics data), and our AI agents must reason across all of it to surface actionable insights for sales teams. You'll tackle problems spanning context engineering, multi-step agentic orchestration, retrieval and ranking over diverse content types, and evaluation of non-deterministic systems – all within the constraints of enterprise-grade reliability, multi-tenant security, and cost efficiency. As the Principal Engineer on the Applied AI team, you will own the technical direction for Generative AI and Agentic solutions across Highspot. You'll set the architecture, ship production systems, and raise the AI engineering capability of the broader organization. You will work closely with machine learning experts, data scientists, product managers, and engineering leadership to drive high-impact business outcomes. ## What You'll Do Design and build agentic AI systems that orchestrate multi-step workflows across heterogeneous enterprise content – documents, CRM data, analytics, and more – to deliver contextual, actionable answers for sales teams. Own the AI platform architecture – define the patterns, abstractions, and guardrails that enable multiple engineering teams to ship AI-powered features safely and independently. Build evaluation and observability infrastructure for non-deterministic systems – including automated regression testing, LLM-as-judge pipelines, and production quality monitoring – so the team can ship AI features with confidence. Drive model strategy and cost efficiency – evaluate and route across model providers, optimize context windows, and make principled latency/quality/cost tradeoffs at enterprise scale. Raise the AI engineering bar across the organization – not just within your team, but across engineering. Coach engineers on applied AI best practices, build shared tooling, and cultivate a culture where AI fluency is widespread. Drive operational excellence – ensure enterprise-grade reliability, security, and performance for all AI-powered features in production. Communicate complex technical concepts clearly to both technical and non-technical audiences, and translate business needs into actionable engineering investments. ## Your Background What will set you apart: Demonstrated depth in shipping production agentic AI systems – you've built multi-step, tool-using agents that operate on real data at scale. Deep expertise in context engineering: retrieval pipelines, ranking, prompt orchestration, and the tradeoffs involved in assembling context for LLMs over large, diverse document corpora. Hands-on experience building evaluation frameworks for non-deterministic AI systems – you understand why this is hard and have opinions on what works (synthetic evals, human-in-the-loop, LLM-as-judge, production monitoring). Track record of designing systems that balance quality, latency, and cost – including experience with model selection, routing, and optimization across providers. Strong instinct for platform thinking: you know how to build abstractions that accelerate other teams without over-constraining them. Foundations: 8+ years of professional software engineering experience, with significant time spent on distributed, data-intensive production systems. Strong programming skills in Python, Java, TypeScript, or equivalent. You're comfortable across the stack. Experience developing and operating cloud services at enterprise scale (AWS, Azure, or GCP). A track record of full product lifecycle ownership – from technical design through iterative shipping to production operation. Experience mentoring engineers and building collaborative, high-performing teams. Strong cross-functional collaboration skills — you work effectively with ML researchers, data scientists, product managers, and business stakeholders with different backgrounds and priorities. ## Additional Information Base salary range: $188,696 - $258,391 Employees may also be eligible for bonuses and other forms of compensation. The above represents total expected compensation for this role. Actual compensation will depend on various job-related factors, including, but not limited to, location, experience, and job qualifications. Highspot also offers the following employee benefits for this position: -Comprehensive medical, dental, vision, disability, and life benefits -Health Savings Account (HSA) with employer contribution -401(k) Matching with immediate vesting on employer match -Flexible PTO -8 paid holidays and 5 paid days for Annual Holiday Week -Quarterly Recharge Fridays (paid days off for mental health recharge) -18 weeks paid parental leave -Access to Coaches and Therapists through Modern Health -2 volunteer days per year -Commuting benefits #LI-DL1 Equal Opportunity Statement We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of age, ancestry, citizenship, color, ethnicity, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or invisible disability status, political affiliation, veteran status, race, religion, or sexual orientation. Did you read the requirements as a checklist and not tick every box? Don't rule yourself out! If this role resonates with you, hit the ‘apply’ button.", "summaryDescription" : "Principal Software Engineer, Applied AI at Highspot", "postedDate" : "2026-06-15T18:28:59.666", "createdAt" : "2026-06-15T18:28:59.666", "lastUpdated" : "2026-06-16T15:02:14.810", "ingestTimestamp" : "2026-06-16T03:24:48.903", "mongoId" : "6a3079aef292fd229c0343d6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 275000, "salaryAnnualMax" : 425000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "_score" : 679.54736, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "68b706987fc9a711f0f6f8c0", "title" : "Sr Manager, Applied Science, Applied AI Solutions", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Applied Science, Cloud Computing", "salary" : { "min" : 196900.0, "max" : 340300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T07:57:52.310", "fingerprint" : "560d3671fbc896e1a15f744b796b0a727bb211330e55ddce2c910ec4ff1cb3e3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3053070/apply", "externalId" : "f041a2be-25a5-4e21-9153-225eea4c8b4e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Reinforcement learning, Personalization systems, Recommendation engines, Dynamic content generation, AI", "professionalSkills" : [ "Technical vision", "Scientific excellence", "Business needs", "Strategic thinking", "Technical depth", "Resource allocation", "Project portfolios" ], "hardSkillsList" : [ "Applied research", "People management", "Technical management", "Behavioral modeling" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Applied research", "level" : "intermediate" }, { "name" : "People management", "level" : "intermediate" }, { "name" : "Technical management", "level" : "intermediate" }, { "name" : "Behavioral modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Applied AI, Agent architecture, Team leadership", "majorSkillsList" : [ "Applied AI", "Agent architecture", "Team leadership" ], "coreResponsibilities" : "Lead team of scientists, Lead developers, Drive technical vision, Foster innovation culture, Foster scientific excellence, Balance business needs, Balance strategic thinking, Implement reinforcement learning, Manage project portfolios, Allocate resources", "teamCollaboration" : "2 pizza team", "projectManagementSkills" : [ "Project portfolios", "Resource allocation" ], "domainKnowledge" : "Applied AI; Autonomous agent behavior; Personalization systems; Recommendation engines; Dynamic content generation; AI agent architecture; Decision-making frameworks; Behavioral modeling; Multi-modal AI systems; Cloud platform", "domainList" : [ "applied-ai", "autonomous-agent-behavior", "personalization-systems", "recommendation-engines", "dynamic-content-generation", "ai-agent-architecture", "decision-making-frameworks", "behavioral-modeling", "multi-modal-ai-systems", "cloud-platform" ], "domainSpecificKnowledge" : [ "Applied AI", "Autonomous agent behavior", "Personalization systems", "Recommendation engines", "Dynamic content generation", "AI agent architecture", "Decision-making frameworks", "Behavioral modeling", "Multi-modal AI systems", "Cloud platform" ], "communicationSkills" : "Translate concepts", "innovationCreativity" : "Innovation culture", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "PhD in Computer Science, 7+ years applied research, 3+ years people management, Track record leading research projects, Publication record top-tier conferences, Experience managing technical teams, Translate complex technical concepts", "qualificationsPreferred" : "Experience AI agent architecture design, Knowledge of multi-modal AI systems, Experience professional software development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Applied AI means AI that is put to work to solve real-world problems and attain practical goals within the constraints of running a business. Our team leverages Amazon’s expertise to build applied AI solutions that businesses love and trust for their day-to-day success. We're creating the products and tools that people will need to do great work with their AI workforce in future. We're a 2 pizza team moving fast to build a new agentic product from the ground up. If you are scrappy and bias for action is your favorite LP, you will fit right in. You will lead a team of applied scientists and software developers, driving the technical vision while fostering a culture of innovation and scientific excellence. You must be excellent at balancing business needs and strategic thinking with hands-on technical depth. We're prioritizing the following experience: - Experience implementing reinforcement learning for autonomous agent behavior - Managing project portfolios and resource allocation across multiple high priority programs - Knowledge of personalization systems, recommendation engines, or dynamic content generation - Production operational experience Want to learn more? Send me an email (Slack is noisy and I will probably miss your message!) About the team Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - PhD in Computer Science, Machine Learning, or related field - 7+ years in applied research, with 3+ years of people management experience - Track record of leading successful research projects and delivering business impact - Strong publication record in top-tier conferences/journals (CVPR, NeurIPS, ICML, etc.) - Experience managing technical teams in ML or AI - Demonstrated ability to translate complex technical concepts to various audiences Preferred Qualifications: - Demonstrated experience in AI agent architecture design, including decision-making frameworks and behavioral modeling - Knowledge of multi-modal AI systems - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $196,900/year in our lowest geographic market up to $340,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Sr Manager, Applied Science, Applied AI Solutions at Amazon Development Center U.S., Inc.. Skills: Applied AI, Agent architecture, Team leadership. Lead team of scientists. Lead developers", "postedDate" : "2026-06-13T16:24:13.588", "createdAt" : "2026-06-13T16:24:13.588", "lastUpdated" : "2026-06-15T07:57:52.310", "ingestTimestamp" : "2026-06-13T16:24:13.588", "mongoId" : "68b706987fc9a711f0f6f8c0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3053070/apply", "salaryAnnualMin" : 196900, "salaryAnnualMax" : 340300, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Applied research", "People management", "Technical management", "Behavioral modeling", "Leadership", "Applied AI", "Agent architecture", "Team leadership", "Technical vision", "Scientific excellence", "Business needs", "Strategic thinking", "Technical depth", "Resource allocation", "Project portfolios", "Autonomous agent behavior", "Personalization systems", "Recommendation engines", "Dynamic content generation", "AI agent architecture", "Decision-making frameworks", "Multi-modal AI systems", "Cloud platform" ], "skillCount" : 23, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 671.88885, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Computing" }, { "id" : "6a2ca09274d8ee00a09a2a2f", "title" : "Applied AI Engineer", "industry" : "Engineering", "salary" : { "min" : 70000.0, "max" : 100000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Applied AI Engineer in London, UK, adjusted for the technology industry." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T10:05:20.117", "fingerprint" : "a8f3f25e4f4d908d1c7a1ff7723702035bab433d23eef3ba2bdcba56c10a615d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/seamflow/072e72dc-09ac-4823-a20c-717f0651fab7/application", "externalId" : "072e72dc-09ac-4823-a20c-717f0651fab7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, LLM tooling, OpenAI SDK, Anthropic SDK, Azure OpenAI SDK, TypeScript, React", "professionalSkills" : [ "User workflows", "Model behavior", "Product judgment", "Prompt engineering", "Model failure modes", "Domain workflows" ], "hardSkillsList" : [ "Document intelligence", "Extract structured data" ], "hardSkills" : [ { "name" : "Document intelligence", "level" : "intermediate" }, { "name" : "Extract structured data", "level" : "intermediate" } ], "majorSkills" : "Applied AI, LLM-powered features, Model behavior, Evals & Iteration", "majorSkillsList" : [ "Applied AI", "LLM-powered features", "Model behavior", "Evals & Iteration" ], "coreResponsibilities" : "Design LLM-powered features, Build LLM-powered features, Reason about model behavior, Build evals, Design multi-step agents, Design tool use, Design orchestration, Extract structured data, Ship AI features to production, Own user-facing surface area, Define problems, Create prompts, Monitor AI features, Iterate on AI features, Solve real problems, Sit in customer calls, Look at real documents, Debug bad outputs, Make the system better", "domainKnowledge" : "Document intelligence; Complex domain workflows", "domainList" : [ "document-intelligence", "complex-domain-workflows" ], "domainSpecificKnowledge" : [ "Document intelligence", "Complex domain workflows" ], "problemSolvingSkills" : "Debugging edge cases", "specialRequirements" : "Visa sponsorship available", "outcomesObjectives" : "Ship an AI feature to production from day one; Own problems end-to-end", "qualificationsBasic" : "Experience with Python, Experience with modern LLM tooling, Experience building production AI systems, Comfortable with evals, Comfortable with prompt engineering, Comfortable reasoning about model failure modes, Ability to work across the stack, Ability to reason about complex domain workflows", "qualificationsPreferred" : "Founder or ex-founder experience, Early-stage or stealth startup background, Founder fellowships or similar environments, Experience building AI-powered products in production, Experience working where requirements were unclear and evolving", "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT THE JOB We’re removing one of the last great barriers to progress in the physical world. While software moves fast, industries like aerospace, healthcare, and energy are still slowed by outdated, manual systems. We are on track to raise our Series A, backed by a 14× oversubscribed $4.5m seed round from Tier-1 VCs such as Coinbase, Reddit, Klarna, and Spotify. Our world-class team includes former unicorn founding engineers and talent from X, Google, Amazon, and Yandex. We value people who want to win and thrive in high-ownership environments. We’re building the system that lets complex, real-world work move at software speed. WHO WE ARE LOOKING FOR We're looking for an Applied AI Engineer who thinks in user workflows and model behavior, not benchmarks or isolated prompts. This is a role for someone who wants to decide what AI should do, build it end-to-end, and put it in users' hands. You will fit right in if you have experience with: - Applied AI — Design and build LLM-powered features that solve real workflows, from prompt to production - Model Behavior — Reason about why models fail, when to use which model, and how to make them reliable in production - Evals & Iteration — Build evals that actually catch regressions and drive improvements, not vanity metrics - Agents & Tooling — Design multi-step agents, tool use, and orchestration for complex domain workflows - Document Intelligence — Extract structured data from messy real-world documents (PDFs, scans, forms, tables) - Product Judgment — Be opinionated about what AI should do, what it shouldn't, and when \"good enough\" ships WHAT YOU WILL DO - Ship from Day 1 — Deploy AI features to production immediately and own a real user-facing surface area - Own it end-to-end — From problem definition to prompts, evals, monitoring, and iteration - Solve real problems — Sit in customer calls, look at real documents, debug bad outputs, and make the system better WHAT WE ARE LOOKING FOR TECHNICALLY - Strong experience with Python and modern LLM tooling (OpenAI/Anthropic/Azure OpenAI SDKs, structured outputs, function calling) - Experience building production AI systems beyond a wrapper around a chat API - Comfortable with evals, prompt engineering, and reasoning about model failure modes - Ability to work across the stack to integrate AI into real product workflows (TypeScript/React frontend, Python backend) - Ability to reason about complex domain workflows, not just prompt-response Strong plus if you have: - Founder or ex-founder experience - Early-stage or stealth startup background - Founder fellowships or similar environments (EF, YC, Antler, etc.) - Experience building AI-powered products in production - Experience working where requirements were unclear and evolving YOUR FIRST MONTH - Ship an AI feature to production from day one - Own problems end-to-end, from prompt to eval to deployment - Do what needs doing, including looking at hundreds of real outputs, debugging edge cases, and customer interaction WE OFFER - Pace and purpose — In-person in London (visa sponsorship available) - No friction — Relocation, visas, meals, and tools fully covered - A tight-knit team — High standards, high trust, no politics", "summaryDescription" : "Applied AI Engineer. Skills: Applied AI, LLM-powered features, Model behavior, Evals & Iteration. Design LLM-powered features. Build LLM-powered features", "createdAt" : "2026-06-14T09:30:10.860", "lastUpdated" : "2026-06-15T10:05:20.117", "ingestTimestamp" : "2026-06-14T09:30:10.860", "mongoId" : "6a2ca09274d8ee00a09a2a2f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Document intelligence", "Extract structured data", "Applied AI", "LLM-powered features", "Model behavior", "Evals & Iteration", "User workflows", "Product judgment", "Prompt engineering", "Model failure modes", "Domain workflows", "Complex domain workflows" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 668.30347, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69f552ce4c40e2acd1fdd336", "title" : "Sr. Applied Scientist, Applied AI Solutions", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Cloud Computing", "salary" : { "min" : 100000.0, "max" : 226000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T03:18:08.466", "fingerprint" : "40664efe5915ebbbb6f34c80d62de6d89187fd51e28b8d8c81459da45cf0c223", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10409294/apply", "externalId" : "d696feec-88ab-494d-94c0-f8d2b2bef01b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, C++, Python, Deep learning, Machine learning, R, scikit-learn, Spark, MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop", "professionalSkills" : [ "Applied AI", "Agent design", "Memory architectures", "Context strategies", "Evaluation frameworks", "Technical direction", "Roadmap decisions", "Production systems" ], "hardSkillsList" : [ "Machine learning models", "Neural deep learning", "Applied research", "Agentic use cases", "Orchestration harnesses", "Memory architectures", "Context compaction", "Tool design", "Environment design", "Evaluation frameworks", "Trajectory-level evaluations", "Reward-hacking detection", "Human-in-the-loop review" ], "softSkillsList" : [ "Leadership", "Mentoring", "Problem solving" ], "hardSkills" : [ { "name" : "Machine learning models", "level" : "intermediate" }, { "name" : "Neural deep learning", "level" : "intermediate" }, { "name" : "Applied research", "level" : "intermediate" }, { "name" : "Agentic use cases", "level" : "intermediate" }, { "name" : "Orchestration harnesses", "level" : "intermediate" }, { "name" : "Memory architectures", "level" : "intermediate" }, { "name" : "Context compaction", "level" : "intermediate" }, { "name" : "Tool design", "level" : "intermediate" }, { "name" : "Environment design", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Trajectory-level evaluations", "level" : "intermediate" }, { "name" : "Reward-hacking detection", "level" : "intermediate" }, { "name" : "Human-in-the-loop review", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Problem solving" } ], "majorSkills" : "Applied AI, Agent design, Machine learning", "majorSkillsList" : [ "Applied AI", "Agent design", "Machine learning" ], "coreResponsibilities" : "Partner with teams, Identify use cases, Deliver use cases, Design agents, Develop agents, Evaluate agents, Define evaluation frameworks, Build trajectory-level evaluations, Detect reward-hacking, Implement human-in-the-loop review, Set technical direction, Mentor scientists, Mentor engineers, Represent science org, Ensure deployment, Ensure integration", "teamCollaboration" : "Cross-functional teams; Engineering teams; Science org", "projectManagementSkills" : [ "Roadmap planning", "Architecture decisions" ], "domainKnowledge" : "Applied AI; Agent capabilities; Frontier models; Business problems; Memory decay; Belief revision; Fact grounding; Long-horizon credit assignment; Open-ended trajectories", "domainList" : [ "applied-ai", "agent-capabilities", "frontier-models", "business-problems", "memory-decay", "belief-revision", "fact-grounding", "long-horizon-credit-assignment", "open-ended-trajectories" ], "domainSpecificKnowledge" : [ "Applied AI", "Agent capabilities", "Frontier models", "Business problems", "Memory decay", "Belief revision", "Fact grounding", "Long-horizon credit assignment", "Open-ended trajectories" ], "toolProficiency" : [ "scikit-learn", "Spark", "MLLib", "MxNet", "Tensorflow", "numpy", "scipy", "Hadoop" ], "communicationSkills" : "Communicate effectively", "innovationCreativity" : "Innovator; Disruptor", "problemSolvingSkills" : "Problem solver; Solving complex problems", "outcomesObjectives" : "Deliver high-impact agentic use cases", "qualificationsBasic" : "3+ years building ML models, Experience programming in Java, C++, Python, Experience with neural deep learning methods, Experience with machine learning, 5+ years applied research experience, PhD in CS, CE, or related, MSc + 10 years experience, BSc + 12 years experience", "qualificationsPreferred" : "Experience with R, Experience with scikit-learn, Experience with Spark MLLib, Experience with MxNet, Experience with Tensorflow, Experience with numpy, Experience with scipy, Experience with Hadoop, Experience with Spark", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The newest business group in AWS, Applied AI Solutions are built by AWS and AWS Partners to deliver applied AI solutions that leverage Amazon's operational expertise and that businesses love and trust for their day-to-day success. Our ambition is to become a partner which companies can rely on to run their business every day, putting AI to work delivering better customer experience, operational excellence and speed. Are you excited about pushing past single-turn chat into agents that run for hours or days, planning, recovering from failure, and accumulating knowledge as they work? Do you want to design the harnesses, memory systems, and context strategies that turn frontier models into reliablen collaborators on real business problems? Do you enjoy the prospect of solving agent problems that haven't been solved at scale anywhere before, including memory decay, belief revision, fact grounding, long-horizon credit assignment, and evaluation of open-ended trajectories? Along the way, you'll get opportunities to be a disruptor, innovator, and a problem solver, someone who truly enables AI agents to create significant impacts. Key job responsibilities You will partner with cross-functional business and engineering teams to identify and deliver high-impact agentic use cases across the Applied AI Solutions portfolio. You will design, develop, and evaluate long-running agents — including orchestration harnesses, memory architectures (episodic recall, semantic facts, revisable beliefs, principled decay), context compaction strategies, and safe, auditable tool and environment designs. You will define evaluation frameworks for agents whose outputs defy single-answer judgment, building trajectory-level evaluations, reward-hacking detection, and human-in-the-loop review patterns. As a senior scientist, you will set technical direction, mentor scientists and engineers, and represent the science org in roadmap and architecture decisions. You will ensure seamless deployment and integration of agents into production systems customers rely on daily. The ideal candidate thrives in ambiguity, builds collaborative relationships, moves fast, and is passionate about customer experience. They hold a strong point of view on where agent capabilities are heading, with the scientific rigor to separate what works from what merely demos well. They lead by example, communicate effectively across audiences, and love solving complex problems at the frontier of applied AI. Basic Qualifications: - 3+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - 5+ years of applied research experience - PhD in CS (Computer Science), CE (Computer Engineering), or related technical field, OR MSc + 10 years, OR BSc + 12 years Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually", "summaryDescription" : "Sr. Applied Scientist, Applied AI Solutions at Amazon.com Services LLC. Skills: Applied AI, Agent design, Machine learning. Partner with teams. Identify use cases", "postedDate" : "2026-06-13T04:19:38.664", "createdAt" : "2026-06-13T04:19:38.664", "lastUpdated" : "2026-06-15T03:18:08.466", "ingestTimestamp" : "2026-06-13T04:19:38.664", "mongoId" : "69f552ce4c40e2acd1fdd336", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10409294/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 226000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Machine learning models", "Neural deep learning", "Applied research", "Agentic use cases", "Orchestration harnesses", "Memory architectures", "Context compaction", "Tool design", "Environment design", "Evaluation frameworks", "Trajectory-level evaluations", "Reward-hacking detection", "Human-in-the-loop review", "Leadership", "Mentoring", "Problem solving", "Applied AI", "Agent design", "Machine learning", "Context strategies", "Technical direction", "Roadmap decisions", "Production systems", "Roadmap planning", "Architecture decisions", "Agent capabilities", "Frontier models", "Business problems", "Memory decay", "Belief revision", "Fact grounding", "Long-horizon credit assignment", "Open-ended trajectories", "scikit-learn", "Spark", "MLLib", "MxNet", "Tensorflow", "numpy", "scipy", "Hadoop" ], "skillCount" : 41, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 667.50116, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2e860374d8ee00a0de1f6f", "title" : "Working Student – Food Robotics Operations", "company" : "Circus", "location" : "Düsseldorf, DE", "locations" : [ "Düsseldorf", "DE" ], "timestamp" : "2026-06-15T10:26:02.424", "fingerprint" : "4cabc9bf660a7177a9acf95b0d060c3b1aa1be0a5d115b7ae106b2e73a40fe44", "source" : "personio", "applyUrl" : "https://circus.jobs.personio.de/job/2383935", "externalId" : "2383935", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Düsseldorf", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Düsseldorf, Germany", "employmentType" : "PART_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "hardSkillsList" : [ "HACCP", "food safety" ], "softSkillsList" : [ "responsible, proactive, customer engagement, reliable, structured" ], "hardSkills" : [ { "name" : "HACCP", "level" : "intermediate" }, { "name" : "food safety", "level" : "intermediate" } ], "softSkills" : [ { "name" : "responsible, proactive, customer engagement, reliable, structured" } ], "majorSkills" : "robotics", "majorSkillsList" : [ "robotics" ], "coreResponsibilities" : "The Working Student will be responsible for the daily operation of robotic kitchen systems, ensuring hygiene and food safety in line with HACCP standards. This role involves providing basic technical and operational support, actively engaging with customers to promote the food concept, and collecting feedback. The position requires a high sense of responsibility, reliability, and the ability to follow technical instructions precisely.", "teamCollaboration" : "Join a collaborative, hands-on team that values ownership, learning, and making things happen together.", "communicationSkills" : "English fluency; German fluency", "documentationSkills" : "incident reporting", "continuousLearning" : "Development Opportunities: Learn from cross-functional experts and take part in in-house training.", "qualificationsBasic" : "Must be an enrolled student with fluent German and English. Requires a high sense of responsibility for hygiene, quality, and safety, with confidence and proactivity in customer engagement. Must be reliable, structured, and able to follow technical instructions precisely. Availability for 15-20 hours per week is essential.", "qualificationsPreferred" : "Experience in hospitality, food service, retail, or promotion is preferred. An interest in food tech, robotics, or operational environments is also a plus.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Our Mission At Circus, we’re redefining food with autonomous kitchens powered by robotics and AI. From culinary creation to production and operations, everything runs on seamlessly integrated automation. We’re rolling out our robotic kitchen systems across Germany, together with leading retail and food partners. To make it happen, we’re building a hands-on team to drive local execution and ensure operational excellence. Join us as we bring autonomous food production from vision to reality. About the Role In this position, you will work on-site and play a key role in the daily operation of our robotic kitchen systems. You will combine responsibility for hygiene and food safety, basic technical and operational support, and active promotion of a new food concept in front of customers. This role is ideal for students who enjoy hands-on work, customer interaction, and being close to innovative technology. Your Daily Business Ensure cleanliness and food safety in line with HACCP standards Support daily system operation and follow defined on-site and remote instructions Communicate with internal teams, including structured incident reporting Actively approach customers, explain the product and concept, and encourage trial Represent Circus professionally on-site and collect customer feedback Base Qualifications Enrolled student Fluent German (mandatory) and English High sense of responsibility for hygiene, quality, and safety Confident, proactive, and comfortable engaging with customers Reliable, structured, and able to follow technical instructions precisely Availability for 15–20 hours per week Preferred Qualifications Experience in hospitality, food service, retail, or promotion Interest in food tech, robotics, or operational environments Our Offer Practical Learning: Gain hands-on experience at the intersection of food, robotics, and operations. Development Opportunities: Learn from cross-functional experts and take part in in-house training. Team Culture: Join a collaborative, hands-on team that values ownership, learning, and making things happen together. Future Opportunities: High-performing students may have the chance to transition into full-time roles after graduation.", "summaryDescription" : "Working Student – Food Robotics Operations at Circus. Skills: robotics. The Working Student will be responsible for the daily operation of robotic kitchen systems, ensuring hygiene and food safety in line with HACCP standards. This role involves providing basic technical and operational support, actively engaging with customers to promote the food concept, and collecting feedback. The position requires a high sense of responsibility, reliability, and the ability to follow technical instructions ", "createdAt" : "2026-06-14T18:26:34.977", "lastUpdated" : "2026-06-15T10:26:02.424", "ingestTimestamp" : "2026-06-14T18:26:34.977", "mongoId" : "6a2e860374d8ee00a0de1f6f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "HACCP", "food safety", "responsible, proactive, customer engagement, reliable, structured", "robotics" ], "skillCount" : 4, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 664.8271, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2d594274d8ee00a0b89469", "title" : "Software Engineering (Working Student)", "company" : "Friendly Captcha", "industry" : "Cybersecurity", "salary" : { "min" : 24000.0, "max" : 36000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for entry-level Software Engineering internships in Germany, adjusted for the cybersecurity industry and the specific location of Wörthsee." }, "location" : "Wörthsee, DE", "locations" : [ "Wörthsee", "DE" ], "timestamp" : "2026-06-15T06:57:46.304", "fingerprint" : "c411f7128e4b14111a4f1d13e18908bbf21892e5172b46dc8efc0e498e4e1990", "source" : "personio", "language" : "en", "applyUrl" : "https://friendlycaptcha.jobs.personio.de/job/2631919", "externalId" : "2631919", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Wörthsee", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.0727885,11.2005513" } ], "locationText" : "Wörthsee, Germany", "employmentType" : "INTERNSHIP", "technicalSkills" : "Go, TypeScript, Python, Java, Rust, C++, APIs, Databases, Terraform, OpenTelemetry, Postgres, Clickhouse, Redis", "professionalSkills" : [ "Feature Development", "Backend Development", "Data Analysis", "Testing", "Debugging", "Documentation", "Code Reviews" ], "hardSkillsList" : [ "Bot detection", "IT security" ], "hardSkills" : [ { "name" : "Bot detection", "level" : "intermediate" }, { "name" : "IT security", "level" : "intermediate" } ], "majorSkills" : "Bot protection platform, Backend development, Data analysis", "majorSkillsList" : [ "Bot protection platform", "Backend development", "Data analysis" ], "coreResponsibilities" : "Work on new features, Support API development, Support service development, Analyze large data sets, Identify bot patterns, Write tests, Assist with troubleshooting, Create technical documentation, Participate in code reviews", "teamCollaboration" : "Experienced engineering team; Direct collaboration with team; Small, focused team; Flat hierarchies", "domainKnowledge" : "Cybersecurity; Bot protection; GDPR compliance; CCPA compliance; Cloud infrastructure", "domainList" : [ "cybersecurity", "bot-protection", "gdpr-compliance", "ccpa-compliance", "cloud-infrastructure" ], "domainSpecificKnowledge" : [ "Cybersecurity", "Bot protection", "GDPR compliance", "CCPA compliance", "Cloud infrastructure" ], "toolProficiency" : [ "Git", "Linux" ], "communicationSkills" : "English written; English verbal", "documentationSkills" : "Technical documentation", "continuousLearning" : "Learn from experienced developers", "innovationCreativity" : "Innovative technology", "problemSolvingSkills" : "Problem-solving oriented", "qualificationsBasic" : "Computer Science, Business Informatics, or Cybersecurity studies, Excellent English skills, Experience with at least one modern programming language, Understanding of web technologies, APIs, and databases, Self-organized, eager to learn, and problem-solving oriented", "qualificationsPreferred" : "German language skills, Experience with Go, Experience with TypeScript, Experience with SQL, Experience with Git, Experience with Linux", "workSiteFlexibility" : "Flexible", "rawDescription" : "Who we are Friendly Captcha is a cybersecurity startup from Munich, Germany. We protect over 25 million websites and apps from spam and bots – fully automated in the background, without requiring users to solve annoying tasks. Our solution is accessible and privacy-friendly in compliance with GDPR/CCPA. We were honored with the German Founders Award 2023 for our innovative technology. Your mission Feature Development: You work on new features and improvements for our bot protection platform Backend Development: You support the development of APIs and services in Go or TypeScript Data Analysis: You help analyze large data sets to identify bot patterns Testing & Debugging: You write tests and assist with troubleshooting Documentation: You create technical documentation for internal tools and processes Code Reviews: You participate in code reviews and learn from experienced developers Infrastructure: Optionally, you can work on Terraform, monitoring (OpenTelemetry), or databases (Postgres, Clickhouse, Redis) What we offer Hands-on experience in a real production environment handling millions of requests Insight into modern backend technologies and cloud infrastructure (EU-owned stack) Working with an experienced engineering team Independent projects and direct collaboration with the team Flexible work schedule Small, focused team with flat hierarchies Office in Munich-West/Wörthsee by the lake Fair compensation, MacBook, coffee, and team events Your profile Studies: Computer Science, Business Informatics, or Cybersecurity Communication: Excellent English written and verbal skills Programming: Experience with at least one modern programming language (Go, TypeScript, Python, Java, Rust, C++, etc.) Basics: Understanding of web technologies, APIs, and databases Work Style: Self-organized, eager to learn, and problem-solving oriented Nice-to-have: German language skills, experience with Go, TypeScript, SQL, Git, or Linux Bonus: Interest in data science, bot detection, or IT security Requirements Why us?", "summaryDescription" : "Software Engineering (Working Student) at Friendly Captcha. Skills: Bot protection platform, Backend development, Data analysis. Work on new features. Support API development", "createdAt" : "2026-06-14T00:13:53.153", "lastUpdated" : "2026-06-15T06:57:46.304", "ingestTimestamp" : "2026-06-14T00:13:53.153", "mongoId" : "6a2d594274d8ee00a0b89469", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Bot detection", "IT security", "Bot protection platform", "Backend development", "Data analysis", "Feature Development", "Backend Development", "Data Analysis", "Testing", "Debugging", "Documentation", "Code Reviews", "Cybersecurity", "Bot protection", "GDPR compliance", "CCPA compliance", "Cloud infrastructure", "Git", "Linux" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 663.1639, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cybersecurity", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e424f8b1b0376634c5ca", "title" : "Working Student - Business Affairs", "company" : "Audible GmbH", "industry" : "Editorial, Writing, Content Management, Administrative Support, subsidiaries", "salary" : { "min" : 24000.0, "max" : 36000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a part-time, entry-level Working Student in Business Affairs in Berlin, Germany, adjusted for the media industry." }, "location" : "Berlin, Berlin, DEU", "locations" : [ "Berlin, Berlin, DEU" ], "timestamp" : "2026-06-15T11:11:41.432", "fingerprint" : "3625a31be4c171d984fe50a72e27df943e78e35e93ef922c8631c8b17a728322", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077125/apply", "externalId" : "49e61fa0-0238-4c8f-8430-607e04e4869d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "state" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5033790,13.3386522" } ], "locationText" : "Berlin, Berlin, Germany", "employmentType" : "PART_TIME", "technicalSkills" : "Excel, Word, PowerPoint, Outlook", "professionalSkills" : [ "Stakeholder management", "Analytical skills" ], "hardSkillsList" : [ "Contract administration", "Data repositories maintenance" ], "hardSkills" : [ { "name" : "Contract administration", "level" : "intermediate" }, { "name" : "Data repositories maintenance", "level" : "intermediate" } ], "majorSkills" : "Business Affairs, Content acquisition, Rights management", "majorSkillsList" : [ "Business Affairs", "Content acquisition", "Rights management" ], "coreResponsibilities" : "Support reporting on acquisition opportunities, Support reporting on titles’ performance, Coordinate team meetings, Manage general administrative tasks, Process contracts, Handle contract administration, Handle contract monitoring, Send contracts, File contracts, Enter documentation in database, Process documentation, Ensure deadlines are kept, Enter data repositories, Update data repositories, Maintain data repositories, Support license management administration, Interface to finance department, Coordinate workflow internally, Coordinate communication internally, Gather title information from stakeholders", "teamCollaboration" : "Coordinate workflow internally; Coordinate communication internally", "domainKnowledge" : "Audio industry; Audiobooks publishing; Media; Entertainment products; Licensing; Rights management", "domainList" : [ "audio-industry", "audiobooks-publishing", "media", "entertainment-products", "licensing", "rights-management" ], "domainSpecificKnowledge" : [ "Audio industry", "Audiobooks publishing", "Media", "Entertainment products", "Licensing", "Rights management" ], "toolProficiency" : [ "Windows", "Excel", "Word", "PowerPoint", "Outlook" ], "documentationSkills" : "Documentation in internal database", "continuousLearning" : "Overview of audio industry", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Full time enrollment in German program, At least 1 year studies left, Expected graduation after October 2026, Business fluency in English, Well versed in Windows", "qualificationsPreferred" : "Studies in law, Studies in media/communications, Studies in economics, Studies in business administration, Fluency in French, Fluency in German, Fluency in Italian, Fluency in Spanish, Enjoy understanding complex processes, Communicate complex processes, Team player, Creative thinking, Interest in books, Interest in audiobooks, Interest in audio dramas, Interest in podcasts", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. ABOUT THIS ROLE Based in Berlin, Audible GmbH is looking for a proactive and committed Working Student – Business Affairs to support our Audible Books team, responsible for acquiring and steering original content for Audible’s markets in the EU. You will support the team that maintains relationships with external stakeholders like authors, editors, translators, narrators and agencies that help us provide our listeners with the best audio storytelling. Through this working student role, you will gain a complete overview of the audio industry and its main players, as well as exposure to a fast paced tech corporate environment. ABOUT YOU You have an interest in media/entertainment products, licensing and rights management or aim to develop a career in the audio/books publishing industry. You're comfortable working with documents, data and reports on a daily basis, you posses strong analytical and stakeholder management skills and are able to work in a reliable, organized and structured way. As a Working Student - Business Affairs, Audible Books, you will... - Support reporting on acquisition opportunities and titles’ performance - Coordinate team meetings and manage general administrative tasks - Process contracts: Handle contract administration and monitoring, e.g. sending and filing contracts, documentation in internal database tools, processing, ensure that deadlines are being kept - Enter, update and maintenance of our different data repositories - Support license management administration - Interface to the finance department, coordinate workflow and communication internally - Periodically gather title’s information from external stakeholders ABOUT AUDIBLE Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home. OUR OFFER - Student position for 20h per week - Compensation of €15.30 per hour - 12 months contract - Up to 4 times of free catered lunch per week - Commuting benefits - Exciting opportunity to participate in the growth of a global digital audiobook provider - International work environment -Flexible working hours Basic Qualifications: - Full time enrollment in a German state-accredited (staatlich anerkanntem) Bachelor or Master program, in the Berlin/Brandenburg area, and have at least 1 year of studies left - expected graduation after October 2026 - Business fluency in written and spoken English - Well versed in Windows operating environment: Excel, Word, PowerPoint and Outlook Preferred Qualifications: - Studies in law, media/communications studies, economics, business administration or related disciplines - Fluency in one of the following languages: French, German, Italian, Spanish - You enjoy understanding complex processes and communicating such processes to others - Team player with strong communication skills - You approach your tasks with confidence and diligence, you display creative thinking and attention to detail - Interest in books/audio books/ audio dramas / podcasts - Capability to work reliably and independently Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. m/w/d Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Working Student - Business Affairs at Audible GmbH. Skills: Business Affairs, Content acquisition, Rights management. Support reporting on acquisition opportunities. Support reporting on titles’ performance", "postedDate" : "2026-06-13T19:18:21.661", "createdAt" : "2026-06-13T19:18:21.661", "lastUpdated" : "2026-06-15T11:11:41.432", "ingestTimestamp" : "2026-06-13T19:18:21.661", "mongoId" : "68c2e424f8b1b0376634c5ca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3077125/apply", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Contract administration", "Data repositories maintenance", "Business Affairs", "Content acquisition", "Rights management", "Stakeholder management", "Analytical skills", "Audio industry", "Audiobooks publishing", "Media", "Entertainment products", "Licensing", "Windows", "Excel", "Word", "PowerPoint", "Outlook" ], "skillCount" : 17, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 657.4849, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.9 }, { "id" : "6a25146374d8ee00a00bb76f", "title" : "Working Student - Creative Operations", "company" : "Audible GmbH", "industry" : "Administrative Support, subsidiaries", "salary" : { "min" : 24000.0, "max" : 36000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a part-time, entry-level Working Student in Media in Berlin, Germany, adjusted for company size and industry." }, "location" : "Berlin, Berlin, DEU", "locations" : [ "Berlin, Berlin, DEU" ], "timestamp" : "2026-06-15T02:13:33.828", "fingerprint" : "dd53d2028a10b76056c866c1dafc2221fabb2eff3cb307d019cd06755aca6d43", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440215/apply", "externalId" : "0c303024-76dd-4972-80cd-bbc7b63723c9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "state" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5033790,13.3386522" } ], "locationText" : "Berlin, Berlin, Germany", "employmentType" : "PART_TIME", "technicalSkills" : "Figma, Adobe Package", "professionalSkills" : [ "Creative campaign management", "Asset coordination", "Production workflows", "Project management", "Workflow enhancements", "Automation scripts" ], "hardSkillsList" : [ "Creative input", "Quality checks", "Prioritization", "Transcript coordination" ], "hardSkills" : [ { "name" : "Creative input", "level" : "intermediate" }, { "name" : "Quality checks", "level" : "intermediate" }, { "name" : "Prioritization", "level" : "intermediate" }, { "name" : "Transcript coordination", "level" : "intermediate" } ], "majorSkills" : "Creative Operations, Brand Marketing, Content Marketing", "majorSkillsList" : [ "Creative Operations", "Brand Marketing", "Content Marketing" ], "coreResponsibilities" : "Support creative operations pipeline, Facilitate development of marketing campaigns, Coordinate cover artwork, Track projects, Facilitate marketing campaigns, Manage documentation, Manage timelines, Manage resource allocation, Manage deliveries, Coordinate cover and trailer development, Provide creative input, Monitor PM software, Clarify stakeholder requirements, Assign to creative resources, Track progress, Prepare campaign wrap-ups, Prepare creative toolkits, Support quarterly sizzle reels, Support global presentations", "teamCollaboration" : "International Brand and Content marketing team; Creative Operations Manager; Agencies and illustrators; Marketers; Creative resources; Creative Director; Internal sharing", "projectManagementSkills" : [ "Project Management software", "Airtable" ], "domainKnowledge" : "Podcast production; Audiobook production; European markets; Audible Original titles; Digital audiobook provider", "domainList" : [ "podcast-production", "audiobook-production", "european-markets", "audible-original-titles", "digital-audiobook-provider" ], "domainSpecificKnowledge" : [ "Podcast production", "Audiobook production", "European markets", "Audible Original titles", "Digital audiobook provider" ], "toolProficiency" : [ "Airtable" ], "communicationSkills" : "Stakeholder requirements clarification", "documentationSkills" : "Documentation management", "continuousLearning" : "Commuting benefits; Flexible working hours", "innovationCreativity" : "Creative input", "qualificationsBasic" : "Full time enrollment in German program, At least 1 year of studies left, Expected graduation no earlier than 2028, Experience with Windows operating environment, Expertise in Outlook, Excel and Word, Business fluency in English, Business fluency in French, German, Italian, or Spanish", "qualificationsPreferred" : "Organizational skills, Attention to detail, Ability to manage multiple tasks, Ability to manage priorities, Relevant skill in design/creative field, Familiarity with Figma, Adobe Package, Passion for media, entertainment, audio storytelling, Interest in project management, Interest in production workflows, Affinity to AI tools and technology, Excellent communication skills, Ability to work collaboratively", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. ABOUT THIS ROLE Based in Berlin, Audible GmbH is looking for an enthusiastic Working Student – Creative Operations. You'll work with our international Audible Brand and Content marketing team, getting hands-on experience with creative campaign management, asset coordination, and podcast/audiobook production workflows across multiple European markets including Germany, France, Italy and Spain. Your day-to-day will center on supporting our creative operations pipeline from briefing to delivery. You'll work closely with our Creative Operations Manager to facilitate the development of marketing campaigns, coordinate cover artwork for new Audible Original titles with agencies and illustrators, and track projects through our Project Management software. As a pair, you’ll be the vital link between marketers, creative resources, and our Creative Director—ensuring briefings are clear, timelines are met, and deliverables maintain our high-quality standards. As a Working Student - Creative Operations, you will... - Support the Creative Operations Manager in facilitating marketing campaigns across DE, FR, IT and ES —managing documentation, timelines, resource allocation, and deliveries - Coordinate Audible Original cover and trailer development from briefing to ingestion, working with agencies and illustrators – while also actively providing creative input - Monitor our PM software (Airtable) for new project requests, clarify stakeholder requirements, assign to creative resources, and track progress - Prepare campaign wrap-ups and creative toolkits for internal sharing - Support quarterly sizzle reels and global presentations with asset requests, quality checks, prioritization, and transcript coordination ABOUT AUDIBLE Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers’ daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home. OUR OFFER - Student position for 20h per week - Compensation of €15.69 per hour - 12 months contract - Up to 4 free catered lunches per week - Commuting benefits - Exciting opportunity to participate in the growth of a global digital audiobook provider - International work environment - Flexible working hours Basic Qualifications: - Full time enrollment in a German state-accredited (staatlich anerkanntem) Bachelor or Master program, in the Berlin/Brandenburg area, and have at least 1 year of studies left - expected graduation no earlier than 2028 - Experience with a Windows operating environment, expertise in Outlook, Excel and Word - Business fluency, written and spoken, in English and one of the following: French, German, Italian, or Spanish Preferred Qualifications: - Organizational skills and attention to detail - Ability to manage multiple tasks and priorities in a deadline-driven environment - Relevant skill in the design/creative field, with some familiarity with tools such as Figma, Adobe Package, etc. - Passion for media, entertainment, and audio storytelling - Interest in or experience with project management and production workflows - Affinity to AI tools and technology (e.g., to support workflow enhancements, automation scripts) - Excellent communication skills and ability to work collaboratively across teams Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. m/w/d Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Working Student - Creative Operations at Audible GmbH. Skills: Creative Operations, Brand Marketing, Content Marketing. Support creative operations pipeline. Facilitate development of marketing campaigns", "postedDate" : "2026-06-13T18:20:15.582", "createdAt" : "2026-06-13T18:20:15.582", "lastUpdated" : "2026-06-15T02:13:33.828", "ingestTimestamp" : "2026-06-13T18:20:15.582", "mongoId" : "6a25146374d8ee00a00bb76f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440215/apply", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Creative input", "Quality checks", "Prioritization", "Transcript coordination", "Creative Operations", "Brand Marketing", "Content Marketing", "Creative campaign management", "Asset coordination", "Production workflows", "Project management", "Workflow enhancements", "Automation scripts", "Project Management software", "Airtable", "Podcast production", "Audiobook production", "European markets", "Audible Original titles", "Digital audiobook provider" ], "skillCount" : 20, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 654.6448, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a21770274d8ee00a0c1b87b", "title" : "Sr. Applied AI Solutions Architect, Amazon Connect", "company" : "Amazon Web Services, Inc.", "industry" : "Solutions Architect, Solution Architect, Cloud Computing", "salary" : { "min" : 153600.0, "max" : 207800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Denver, Colorado, USA", "locations" : [ "Denver, Colorado, USA" ], "timestamp" : "2026-06-15T23:16:14.547", "fingerprint" : "493d3bfd8e7dcb6e60178af456758dd6bb5640880500161d713cac1abd2fa587", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10435949/apply", "externalId" : "b9b76f08-7c20-49af-bfd7-c809b440d38a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Java, C++, Cloud computing, Machine learning, Distributed systems, AWS, Amazon Connect, AI, ML, Contact center technology", "professionalSkills" : [ "System design", "Solution architecture", "Customer engagement", "Technical leadership" ], "hardSkillsList" : [ "Software development", "Cloud computing", "Machine learning", "Large-scale systems" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Large-scale systems", "level" : "intermediate" } ], "majorSkills" : "Applied AI, Solutions Architecture, Amazon Connect", "majorSkillsList" : [ "Applied AI", "Solutions Architecture", "Amazon Connect" ], "coreResponsibilities" : "Design and implement AI solutions, Develop proof-of-concepts, Build and deploy ML models, Collaborate with engineering teams, Engage with customers, Present technical solutions, Provide technical guidance, Contribute to product strategy", "teamCollaboration" : "Engineering teams; Product teams; Customers", "domainKnowledge" : "Applied AI; Machine learning; Distributed systems; Contact center technology; Amazon Connect", "domainList" : [ "applied-ai", "machine-learning", "distributed-systems", "contact-center-technology", "amazon-connect" ], "domainSpecificKnowledge" : [ "Applied AI", "Machine learning", "Distributed systems", "Contact center technology", "Amazon Connect" ], "toolProficiency" : [ "AWS", "Amazon Connect" ], "communicationSkills" : "Technical presentations; Customer engagement", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "Bachelor's degree or equivalent practical experience, 5 years of experience in software development, 3 years of experience in cloud computing, Experience with machine learning, Experience with large-scale distributed systems", "qualificationsPreferred" : "Master's degree or PhD, Experience with AWS services, Experience with Amazon Connect, Experience with AI/ML services, Experience with contact center technology", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Application deadline: Jun 11, 2026 This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges. Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the technical background, customer experience, and skills necessary to help accelerate customer adoption of Amazon Connect's AI capabilities? Do you love building new strategic and data-driven businesses? Join the Applied AI Solutions team as an Amazon Connect Specialist Solutions Architect! The Applied AI Solutions Architecture team is seeking a hands-on, customer-obsessed Solutions Architect to accelerate customer adoption of Amazon Connect's AI capabilities. Applied AI Solutions is part of the AWS Specialist & Partner (ASP) org, which works backwards from our customer’s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam. A critical dimension of this role is Customer Data Readiness — assessing, preparing, and structuring customer data assets so that AI agents can reliably access, retrieve, and act on the right information. You will help customers evaluate their data landscape, identify gaps, establish data pipelines, and ensure their knowledge bases, CRMs, and backend systems are AI-ready before agents go live. You will work at the intersection of contact center operations and applied AI, helping customers move from proof-of-concept to pre-production for their Amazon Connect deployments. We stay closely connected to our customers and bring valuable data and insights to our product teams, strengthening the product roadmap. Our team is at its best when a customer is thinking big and needs specialized experience to innovate for their business. Key job responsibilities - Customer Engagement: Lead technical discovery sessions with customer teams to understand business requirements, existing contact center architecture, and AI readiness. Translate findings into actionable implementation plans. - Customer Data Readiness: Conduct data readiness assessments to evaluate the quality, accessibility, structure, and governance of customer data assets (CRMs, knowledge bases, ticketing systems, order management, etc.). Identify data gaps, recommend remediation strategies, and help customers build the data foundation required for effective AI agent tool use and RAG-powered responses. - Agentic AI Implementation: Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. - A2A (Agent-to-Agent) Integration: Architect Agent-to-Agent communication patterns that allow Amazon Connect AI agents to collaborate with specialized agents across the enterprise (e.g., billing agents, order management agents, IT support agents), enabling multi-agent workflows that span organizational boundaries. - Integration Development: Build serverless integrations using AWS Lambda, API Gateway, Step Functions, and scripting (Python, Node.js) to connect Amazon Connect AI agents with customer data systems (CRMs, ERPs, databases, knowledge bases). - Cloud Data Access: Architect secure access patterns to cloud-based data systems to power AI agent tool use and retrieval-augmented generation (RAG). - Agentic IDE Proficiency: Leverage agentic development environments such as Kiro (and similar AI-assisted IDEs) to accelerate development workflows, including spec-driven development, agent hooks, MCP server configuration, and AI-assisted code generation. - Pre-Production Validation: Guide customers through testing, evaluation, and validation of AI agent performance against defined success criteria before production deployment. - Field Enablement: Share learnings, delivering technical deep-dives, and mentoring other SAs on agentic AI implementation patterns. A day in the life - Conducting data readiness assessments, identifying gaps in knowledge base coverage, and recommending data preparation steps before AI agent configuration - Designing prompt strategies and evaluating model performance across different foundation models - Building Lambda functions and API integrations that serve as tools for AI agents - Configuring MCP servers to expose customer APIs, databases, and tools in a standardized format for agent consumption - Designing A2A workflows where Amazon Connect agents hand off to or collaborate with specialized agents across the customer's enterprise - Configuring knowledge bases and data connectors for RAG-powered agent responses - Running evaluation frameworks to measure AI agent accuracy, latency, and customer satisfaction - Conducting architecture reviews and providing prescriptive guidance for production readiness - Documenting implementation patterns and contributing to the team's knowledge base About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience - 10+ years of IT development or implementation/consulting in the software or Internet industries experience Preferred Qualifications: - 5+ years of infrastructure architecture, database architecture and networking experience - Knowledge of database design and implementation or equivalent - Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers - Experience architecting, migrating, transforming or modernizing customer requirements to the cloud - Experience with Amazon Connect or other enterprise contact center platforms (Genesys, Avaya, Cisco, NICE, Five9, etc.) - Hands-on experience with Amazon Bedrock, including model invocation, agent creation, knowledge base configuration, and guardrails Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually USA, CO, Denver - 153,600.00 - 207,800.00 USD annually USA, IL, Chicago - 153,600.00 - 207,800.00 USD annually USA, NY, New York - 169,000.00 - 228,600.00 USD annually USA, VA, Herndon - 153,600.00 - 207,800.00 USD annually USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually", "summaryDescription" : "Sr. Applied AI Solutions Architect, Amazon Connect at Amazon Web Services, Inc.. Skills: Applied AI, Solutions Architecture, Amazon Connect. Design and implement AI solutions. 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If you have excellent communication skills, thrive on identifying the right profiles, and know how to get candidates excited about unique challenges, we want to hear from you! Understanding the profiles we seek is key, as finding the right people is vital to our success. As a working student, you get the opportunity to join our Recruitment team - helping with events, sourcing, and recruitment initiatives! We are looking for someone who can support our team for at least 16-20 hours a week (the more the merrier). Tricks of the trade Collaboration: You'll work closely with our recruiters and various internal teams to understand the specific requirements for open positions Sourcing: Using LinkedIn Search and other search techniques, you'll actively look for potential candidates and approach them to explore opportunities at Picnic Strategy: You'll support the team with creative strategies that help build the talent pipelines with unique talent Innovation: You'll bring fresh ideas and provide valuable input to enhance our talent pipeline processes and improve overall recruitment outcomes For example, every year at Picnic we organize a Business Course event for potential Analyst candidates (see video here). In 2026, it could be YOU the one recruiting for it, together with the support of our Analytics Recruitment team. Your superpowers You are currently pursuing studies in Psychology, HRM, Business Administration or similar fields You have prior internships or working-student experience in active sourcing or recruiting You are ambitious and dare to generate and share cool ideas all the time Excellent verbal and written communication skills in English and German You are a team player with strong organizational skills and attention to detail At Picnic, we use Greenhouse as our ATS. It's great if you're familiar with it or if you're curious to learn! Picnic Perks \uD83D\uDE80Every expert was once a beginner! You’ll get plenty of opportunities to challenge yourself and grow, including the Picnic Tech Academy, Lunch & Learn sessions, and tailored soft skills training. We also offer free professional weekly language courses. \uD83C\uDF0DMake a difference You’ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you’ll also be contributing to making the world a better place! \uD83E\uDD1DTeamwork makes the dream work With more than 80 nationalities across 3 countries, you’ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more! \uD83E\uDD57Fresh Lunch, coffee, and snacks Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up. \uD83D\uDCAAStay healthy Mental health is important. As well as having the option to speak with Picnic colleagues who act as confidential advisors, our collaboration with OpenUp gives you easy access to professional psychologists, along with workshops and materials. There are plenty of sports communities and events to get involved with, from tennis to yoga to climbing! \uD83D\uDCB0Attractive package You’ll receive a gross hourly wage of €16, along with a laptop and phone to support your work. Travel costs can also be reimbursed, depending on your location.", "summaryDescription" : "Talent Acquisition - Working Student (German Speaking) at Picnic. Skills: Talent acquisition, Recruitment, Sourcing. Support Recruitment team with events. Support Recruitment team with sourcing", "postedDate" : "2026-06-14T21:48:55.818", "createdAt" : "2026-06-14T21:48:55.818", "lastUpdated" : "2026-06-16T04:44:39.409", "ingestTimestamp" : "2026-06-14T21:48:55.818", "mongoId" : "6a2ca43a74d8ee00a09b0d10", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Active sourcing", "LinkedIn Search", "Talent acquisition", "Recruitment", "Sourcing", "Talent management", "Recruitment initiatives", "Talent pipelines", "Recruitment processes", "Greenhouse ATS" ], "skillCount" : 10, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 652.73755, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "69f4a7e74c40e2acd1c64752", "title" : "Applied Scientist, Speed + AI", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, operations", "salary" : { "min" : 136000.0, "max" : 184000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T04:31:16.038", "fingerprint" : "bfb65876da2e5fdc0b29d631dd5dce92df0ee43ddf506061d8e6ed45e34fa7a1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10408753/apply", "externalId" : "24e7cdc5-6e9f-420c-8637-9e5daefc35f0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, Spark, Machine Learning, Data Engineering, Cloud Platforms, Data Warehousing, ETL, Statistical Modeling, A/B Testing, AWS, GCP, Azure, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Quantitative analysis", "Business intelligence", "Analytics engineering" ], "hardSkillsList" : [ "Data modeling", "Algorithm development", "Statistical analysis", "Data manipulation", "Data visualization" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Data Engineering", "majorSkillsList" : [ "Data Science", "Machine Learning", "Data Engineering" ], "coreResponsibilities" : "Develop and implement machine learning models, Design and build data pipelines, Perform data analysis and generate insights, Create and maintain dashboards and reports, Collaborate with stakeholders to understand data needs, Stay up-to-date with the latest advancements in data", "teamCollaboration" : "Cross-functional teams; Product managers; Engineering teams", "domainKnowledge" : "E-commerce analytics; Customer behavior analysis; Recommendation systems; Supply chain optimization", "domainList" : [ "e-commerce-analytics", "customer-behavior-analysis", "recommendation-systems", "supply-chain-optimization" ], "domainSpecificKnowledge" : [ "E-commerce analytics", "Customer behavior analysis", "Recommendation systems", "Supply chain optimization" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "communicationSkills" : "Present findings; Communicate insights", "documentationSkills" : "Document models; Document pipelines", "continuousLearning" : "Attend conferences; Pursue online courses", "innovationCreativity" : "Develop novel solutions; Explore new technologies", "problemSolvingSkills" : "Root cause analysis; Troubleshoot data issues; Analytical thinking", "outcomesObjectives" : "Improve product recommendations; Optimize marketing campaigns; Enhance customer experience", "qualificationsBasic" : "Bachelor's degree, 5+ years of experience in data science or related field, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "Master's degree or PhD, Experience with large-scale data processing, Experience with machine learning frameworks, Experience with cloud platforms (AWS, GCP, Azure), Experience with data visualization tools", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Why this job is awesome? - This is SUPER high-visibility work: Our mission is to provide consistent, accurate, and relevant delivery information to every single page on every Amazon-owned site. - MILLIONS of customers will be impacted by your contributions: The changes we make directly impact the customer experience on every Amazon site. This is a great position for someone who likes to leverage Machine learning technologies to solve the real customer problems, and also wants to see and measure their direct impact on customers. - We are a cross-functional team that owns the ENTIRE delivery experience for customers: From the business requirements to the technical systems that allow us to directly affect the on-site experience from a central service, business and technical team members are integrated so everyone is involved through the entire development process. - You will have a chance to develop the state-of-art machine learning, including deep learning and reinforcement learning models, to build targeting, recommendation, and optimization services to impact millions of Amazon customers. - Do you want to join an innovative team of scientists and engineers who use machine learning and statistical techniques to deliver the best delivery experience on every Amazon-owned site? - Are you excited by the prospect of analyzing and modeling terabytes of data on the cloud and create state-of-art algorithms to solve real world problems? - Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? - Do you like to innovate and simplify? If yes, then you may be a great fit to join the Speed + AI team. Key job responsibilities · Research and implement machine learning and GenAI techniques to create scalable and effective models in Delivery Experience (DEX) systems · Solve business problems and identify business opportunities to provide the best delivery experience on all Amazon-owned sites. · Design and develop highly innovative machine learning and deep learning models for big data. · Build state-of-art ranking and recommendations models and apply to Amazon search engine. · Analyze and understand large amounts of Amazon’s historical business data to detect patterns, to analyze trends and to identify correlations and causalities · Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation Basic Qualifications: - Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse Preferred Qualifications: - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually", "summaryDescription" : "Applied Scientist, Speed + AI at Amazon.com Services LLC. Skills: Data Science, Machine Learning, Data Engineering. Develop and implement machine learning models. Design and build data pipelines", "postedDate" : "2026-06-14T20:12:53.025", "createdAt" : "2026-06-14T20:12:53.025", "lastUpdated" : "2026-06-16T04:31:16.038", "ingestTimestamp" : "2026-06-14T20:12:53.025", "mongoId" : "69f4a7e74c40e2acd1c64752", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10408753/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 184000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Algorithm development", "Statistical analysis", "Data manipulation", "Data visualization", "Data Science", "Machine Learning", "Data Engineering", "Quantitative analysis", "Business intelligence", "Analytics engineering", "E-commerce analytics", "Customer behavior analysis", "Recommendation systems", "Supply chain optimization", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 650.6015, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5e3b9bc74574cb677a22", "title" : "Working Student at IT Aftersales - Data Engineering", "company" : "Mercedes-Benz", "industry" : "Manufacturing", "salary" : { "min" : 38000.0, "max" : 48000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Working Student in IT Aftersales - Data Engineering in Böblingen, Germany, adjusted for the automotive industry and company size." }, "location" : "Germany-Baden-Württemberg-Böblingen", "locations" : [ "Germany-Baden-Württemberg-Böblingen", "Leibnizstr. 2, , Böblingen" ], "timestamp" : "2026-06-16T04:57:44.297", "fingerprint" : "4860a4c1e7120f4730e69ef4acf104cefa459d76bfcf7e7f6e507ff8add71411", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=886091", "externalId" : "886091", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Böblingen", "state" : "Baden-Württemberg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.6849690,9.0113444" } ], "locationText" : "Böblingen, Baden-Württemberg, Germany", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, SQL, Go, Data Engineering, Data Processing, Cloud Computing, Data Mesh", "professionalSkills" : [ "Product Development", "Data Management", "Technical Writing", "Cloud Services" ], "hardSkillsList" : [ "Data Analysis", "Data Modeling", "Schema Design", "Data Normalization", "Data Governance", "Data Quality Assurance", "Data Exchange" ], "hardSkills" : [ { "name" : "Data Analysis", "level" : "intermediate" }, { "name" : "Data Modeling", "level" : "intermediate" }, { "name" : "Schema Design", "level" : "intermediate" }, { "name" : "Data Normalization", "level" : "intermediate" }, { "name" : "Data Governance", "level" : "intermediate" }, { "name" : "Data Quality Assurance", "level" : "intermediate" }, { "name" : "Data Exchange", "level" : "intermediate" } ], "teamCollaboration" : "Cross-functional teams; 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Resolving data processing issues", "qualificationsBasic" : "English proficiency, Enrolled as a student until contract end", "qualificationsPreferred" : "Python experience, SQL experience, Go experience, Software development principles knowledge, Data modeling knowledge, Schema design knowledge, Data normalization techniques knowledge, AWS experience, Azure experience, Cloud-based storage experience, Big data processing technologies experience, Agile frameworks experience, Data mesh principles knowledge, Data visualization tools interest, Real time data delivery technologies interest", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you a tech-savvy individual with a passion for software engineering and data? Do you want to gather hands-on experience at a globally renowned company that is pushing the boundaries of automotive innovation? Would you like to be the catalyst for new ideas and innovations, driving them all the way to the highway? Then join our After-Sales IT department at Mercedes-Benz! Who we are and what we do: We in the Team Data, Analytics & AI aim to put our customers at the center of our work. Currently, we are developing the next generation of our global parts pricing system in the cloud to natively integrate automation and data-driven decision-making processes. To that end, we are building data products through connecting various data sources as well as building state of the art cloud-based data processing pipelines. Furthermore, by harnessing data from our global workshop network, we continuously improve our customers' service experience, make strategic business decisions, and effectively steer various After-Sales processes. To make this happen, we work in self-organized, interdisciplinary, and agile teams with IT and business colleagues. Things you will do: Collaborate with cross-functional teams to define data requirements and ensure data quality Participate in monitoring, troubleshooting, and resolving data processing issues Contribute to and support our product teams in the design and development of new data products. Embrace data mesh principles to ensure data quality and smooth data exchange, thereby enhancing the underlying architecture of our data platform Bring in your own ideas into the design of new or improved data products and transform them into end-to-end proof-of-concept solutions in the cloud Contribute to the creation of comprehensive, easy-to-follow technical documentation Organize communication with our stakeholders and support the documentation of our data products Support with the management, maintenance and requirements engineering of our applications as well as create and enhance communication material Skills you will develop depending on your interests: Data Analysis Skills: Through collaboration with cross-functional teams to define data requirements, you'll sharpen your ability to evaluate and interpret complex datasets Problem-Solving Abilities: By monitoring, troubleshooting, and resolving data processing issues, you'll develop a keen eye for identifying problems and formulating effective solutions Product Development Expertise: As you contribute to and support our product teams, you'll grow your understanding of product lifecycle management, from design and development to testing and deployment Understanding of Data Mesh Principles: Embracing data mesh principles will allow you to gain insights into data governance, data quality assurance, and data exchange procedures, enhancing your overall knowledge of data management Innovation and Creativity: By bringing in your own ideas and transforming them into end-to-end proof-of-concept solutions, you'll cultivate your creative thinking and innovation skills, crucial in the field of data and software product development Cloud Computing Competencies: Developing proof-of-concept solutions in the cloud will help you gain experience in cloud environments and services, an essential skill in today's digital landscape Technical Writing Proficiency: Contributing to comprehensive, easy-to-follow technical documentation will develop your technical communication skills, aiding you in clearly conveying complex information The activity can begin from May 2026. Currently pursuing a bachelor's or master s degree in computer science, Information Technology, or a related field with a focus on data or software engineering. You must be enrolled as a student at least until the last planned day of your working student contract Strong English proficiency Experience with one or more programming and scripting languages (Python and SQL are of advantage, Go is a nice-to-have) Communication and interpersonal skills, with the ability to work well in a team as well as independently It helps if you are interested / have some background in: Knowledge of software development principles Data modeling, schema design, and data normalization techniques Experience with cloud platforms such as Amazon Web Services (AWS) or Microsoft Azure Understanding of cloud-based storage (e.g., S3, Azure Data Lake) and big data processing technologies (e.g., AWS Glue, Azure Data Factory, Databricks) for scalable and efficient data workflows First experience with agile frameworks like Scrum and knowledge of data mesh principles Interest in data visualization tools like Tableau, PowerBI, or Qlik Interest in real time data delivery technologies Additional Information: We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, and proof of the standard period of study. Please remember to mark your documents as \"relevant for this application\" in the online form and observe the maximum file size of 5 MB. You can find further information on the hiring criteria here . Severely disabled applicants and applicants with equivalent status are welcome! The representative for severely disabled employees (SBV-Sindelfingen@mercedes-benz.com) will gladly support you in the application process. HR Services will be happy to help you with any questions you may have about the application process. You can reach us by email at myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mon-Fri 10am-12pm & 1pm-3pm). Mercedes-Benz AG", "summaryDescription" : "Working Student at IT Aftersales - Data Engineering at Mercedes-Benz", "createdAt" : "2026-06-14T19:54:01.513", "lastUpdated" : "2026-06-16T04:57:44.297", "ingestTimestamp" : "2026-06-14T19:54:01.513", "mongoId" : "69ce5e3b9bc74574cb677a22", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data Analysis", "Data Modeling", "Schema Design", "Data Normalization", "Data Governance", "Data Quality Assurance", "Data Exchange", "Product Development", "Data Management", "Technical Writing", "Cloud Services", "Agile", "Scrum", "Data Mesh Principles", "Cloud-based Storage", "Big Data Processing", "Tableau", "Power BI", "Qlik" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 649.33057, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d58aa74d8ee00a0b864e1", "title" : "Working Student AI Full Stack Engineer (m/f/d)", "company" : "Merantix Momentum", "industry" : "Technology", "salary" : { "min" : 31000.0, "max" : 45000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an Entry-level Working Student AI Full Stack Engineer in Berlin, Germany, with adjustments for the technology industry and part-time employment." }, "location" : "Berlin, DE", "locations" : [ "Berlin", "DE" ], "timestamp" : "2026-06-15T09:13:41.939", "fingerprint" : "fec8d4ba8eb39572a417fa5c14b11e0fdd659c0a6b3fb4a1f7d905207ca5e87d", "source" : "personio", "language" : "en", "applyUrl" : "https://merantix-momentum.jobs.personio.de/job/2633368", "externalId" : "2633368", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "employmentType" : "PART_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, TypeScript, ReactJS, REST APIs, GraphQL, SQL, PyTorch, Scikit-learn", "professionalSkills" : [ "API development", "Database work", "Developer tooling" ], "hardSkillsList" : [ "Web development", "AI/ML applications" ], "hardSkills" : [ { "name" : "Web development", "level" : "intermediate" }, { "name" : "AI/ML applications", "level" : "intermediate" } ], "majorSkills" : "AI, Full Stack, Software Development", "majorSkillsList" : [ "AI", "Full Stack", "Software Development" ], "coreResponsibilities" : "Support frontend component development, Support backend service development, Contribute to API development, Contribute to database work, Participate in code reviews, Participate in team rituals, Help maintain documentation, Improve developer tooling", "teamCollaboration" : "Senior engineers; Team rituals; Stand-ups; Sprint planning; Retrospectives", "projectManagementSkills" : [ "Sprint planning" ], "domainKnowledge" : "Machine learning; AI Ethics", "domainList" : [ "machine-learning", "ai-ethics" ], "domainSpecificKnowledge" : [ "Machine learning", "AI Ethics" ], "documentationSkills" : "Maintain documentation", "continuousLearning" : "Learning and development budget; Conferences; Educational resources; Weekly events; Monthly events", "innovationCreativity" : "AI innovation", "specialRequirements" : "20 hours/week", "qualificationsBasic" : "Currently enrolled in BSc/MSc, Solid programming skills in Python, Solid programming skills in TypeScript/ReactJS, First practical web development experience", "qualificationsPreferred" : "Experience with REST APIs, Basic SQL experience, Exposure to ML frameworks, Fluency in German", "workSiteFlexibility" : "Flexible", "rawDescription" : "What we do Merantix Momentum is a Berlin-based AI startup focusing on accelerating AI adoption across many industries through B2B solutions, as well as publicly funded research projects. We work across several domains, including automotive, manufacturing, retail, healthcare and many more, transforming businesses as an external machine learning department. We achieve this using our core expertise in state-of-the-art machine learning combined with our culture of rapid iterations to build scalable solutions. Your role As a Working Student in our Full Stack team, you'll contribute directly to the development of AI-powered applications. It will be no toy projects, it will be real production code. You'll work alongside senior engineers and get hands-on experience building the interfaces and backend systems that bring machine learning to life. Your main responsibilities will be: Support the development of frontend components and backend services for AI-powered applications Contribute to API development (REST/GraphQL) and database work under senior guidance Participate in code reviews and team rituals (stand-ups, sprint planning, retrospectives) Help maintain documentation and improve developer tooling Your profile You are a great fit for our team if you bring these qualifications: Currently enrolled in a BSc or MSc program in computer science, software engineering, or a related field Solid programming skills in Python and/or TypeScript/ReactJS First practical experience with web development (internship, own projects, or coursework counts) Curiosity about AI/ML applications and how they get deployed in the real world Experience with REST APIs or basic SQL is a plus Any exposure to ML frameworks (PyTorch, scikit-learn, etc.) is a plus Fluency in English; German proficiency is a plus Available for 20 hours/week (flexible around your study schedule) What we offer Engaging Topics and Excellence: We offer unique insights into applied machine learning research and development, working with a group of highly talented engineers and entrepreneurs. International Team: We are a dynamic and international team. Learning and Development: We provide an annual learning and development budget for attending conferences or purchasing educational resources to further develop our employees’ skills. We also hold weekly and monthly events around AI innovation and implementation. Dynamic and open Working Culture: We have a very flat hierarchy, open 360° feedback, and flexibility in our work-from-home policy, as well as working hours. AI Ethics: We are committed to developing ethical AI software and actively foster open discussions on this topic within our team. Brand new office space: Bright and open office situated on the AI Campus in Berlin. Hardware allowance: We give you support to have all the equipment you would need to thrive in your job. Sabbatical Leave; Employee benefits: We offer a monthly allowance per employee that can be allocated as desired to one of the following: Mobility & transportation (NAVIT), sports (Urban Sports Club), or groceries (Edenred).", "summaryDescription" : "Working Student AI Full Stack Engineer (m/f/d) at Merantix Momentum. Skills: AI, Full Stack, Software Development. Support frontend component development. Support backend service development", "createdAt" : "2026-06-14T07:07:09.766", "lastUpdated" : "2026-06-15T09:13:41.939", "ingestTimestamp" : "2026-06-14T07:07:09.766", "mongoId" : "6a2d58aa74d8ee00a0b864e1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Web development", "AI/ML applications", "AI", "Full Stack", "Software Development", "API development", "Database work", "Developer tooling", "Sprint planning", "Machine learning", "AI Ethics" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 649.13293, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a24e79074d8ee00a0026b7f", "title" : "Applied AI Product Engineer", "company" : "VetsEZ", "industry" : "Healthcare", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Applied AI Product Engineer in the Healthcare industry, adjusted for a remote role in India." }, "location" : "Seattle, WA", "locations" : [ "Philadelphia", "PA", "San Francisco", "CA", "Seattle", "WA" ], "timestamp" : "2026-06-15T05:02:41.210", "fingerprint" : "da3f375babc5f5add254431f7165a6faeeea56c9b921c8b50ebde5cb7d3c3f99", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://vetsez.breezy.hr/p/d5d2dbdc7d0901-applied-ai-product-engineer-remote-opportunity", "externalId" : "d5d2dbdc7d0901", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Build intelligent healthcare technology platforms, Build next-generation AI-driven solutions", "domainKnowledge" : "Healthcare technology; AI-driven solutions", "domainList" : [ "healthcare-technology", "ai-driven-solutions" ], "domainSpecificKnowledge" : [ "Healthcare technology", "AI-driven solutions" ], "innovationCreativity" : "AI innovation", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "EZLabs, the AI innovation division of VetsEZ, is seeking multiple Applied AI Product Engineers to join our growing team in a 100% remote role focused on building intelligent healthcare technology platforms and next-generation AI-driven solutions. At EZ Labs, we are transforming healthcare delivery", "summaryDescription" : "Applied AI Product Engineer at VetsEZ. Build intelligent healthcare technology platforms. Build next-generation AI-driven solutions", "createdAt" : "2026-06-14T06:58:26.291", "lastUpdated" : "2026-06-15T05:02:41.210", "ingestTimestamp" : "2026-06-14T06:58:26.291", "mongoId" : "6a24e79074d8ee00a0026b7f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Healthcare technology", "AI-driven solutions" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 649.10626, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176ba74d8ee00a0c1ab7b", "title" : "Senior Applied AI Solutions Architect, Amazon Connect, AWS, AWS Applied AI Solutions", "company" : "Amazon Web Services Australia Pty Ltd", "industry" : "Solutions Architect, Solution Architect, Cloud Computing", "salary" : { "min" : 200000.0, "max" : 275000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Applied AI Solutions Architect in Sydney, Australia, adjusted for AWS's industry and company size." }, "location" : "Sydney, New South Wales, AUS", "locations" : [ "Sydney, New South Wales, AUS" ], "timestamp" : "2026-06-15T04:46:06.605", "fingerprint" : "90835d07ecb6a936d8ca21050748c6533a790adba0d30ecd0de64d990f66af51", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438413/apply", "externalId" : "9445d5b7-9fb0-4c55-a7f1-e05ef6453a03", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sydney", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8698439,151.2082848" } ], "locationText" : "Sydney, New South Wales, Australia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, Amazon Connect, Amazon Bedrock, APIs, Lambda, Node.js, Python, WebRTC, SIP, DynamoDB, RDS, S3, OpenSearch, Kendra, API Gateway, Step Functions", "professionalSkills" : [ "Solutions Architecture", "Prompt Engineering", "Data Readiness", "Contact Center Operations", "AI Agent Development" ], "hardSkillsList" : [ "Model Selection", "Tool Integration", "Data Structuring", "Serverless Integration", "Multi-agent Orchestration" ], "hardSkills" : [ { "name" : "Model Selection", "level" : "intermediate" }, { "name" : "Tool Integration", "level" : "intermediate" }, { "name" : "Data Structuring", "level" : "intermediate" }, { "name" : "Serverless Integration", "level" : "intermediate" }, { "name" : "Multi-agent Orchestration", "level" : "intermediate" } ], "majorSkills" : "Applied AI, Solutions Architecture, Amazon Connect, Agentic AI", "majorSkillsList" : [ "Applied AI", "Solutions Architecture", "Amazon Connect", "Agentic AI" ], "coreResponsibilities" : "Lead technical discovery sessions, Understand customer business requirements, Understand contact center architecture, Understand AI readiness, Translate requirements into solution designs, Create implementation plans, Conduct data readiness assessments, Identify data gaps, Recommend data remediation, Establish data foundation for AI agent tool use, Design agentic AI solutions, Configure agentic AI solutions, Implement multi-agent orchestration, Implement prompt engineering, Implement model selection, Implement guardrails, Implement tool integration, Deploy Model Context Protocol servers, Expose customer tools, Expose data sources, Expose APIs, Architect agent-to-agent communication patterns, Enable multi-agent workflows, Build serverless integrations, Connect AI agents with customer data systems, Connect AI agents with cloud-based data stores, Leverage agentic development environments, Accelerate spec-driven development, Accelerate MCP configuration, Accelerate AI-assisted code generation, Guide customers through AI agent testing, Guide customers through AI agent evaluation, Guide customers through AI agent validation, Create reusable artifacts, Scale best practices", "teamCollaboration" : "Pair-program with customer teams; Customer engineering teams", "domainKnowledge" : "Contact Center AI; Foundation Models; Generative AI; RAG; CCaaS; MCP; A2A Communication", "domainList" : [ "contact-center-ai", "foundation-models", "generative-ai", "rag", "ccaas", "mcp", "a2a-communication" ], "domainSpecificKnowledge" : [ "Contact Center AI", "Foundation Models", "Generative AI", "RAG", "CCaaS", "MCP", "A2A Communication" ], "toolProficiency" : [ "Amazon Bedrock", "Kiro" ], "communicationSkills" : "Presenting to executives; Whiteboarding skills", "documentationSkills" : "Implementation guides; Reference architectures", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Achieve production-ready outcomes; Move from proof-of-concept to pre-production", "qualificationsBasic" : "5+ years experience building integrations, Experience with communications protocols and APIs, Experience with complex CCaaS implementations", "qualificationsPreferred" : "Experience working with and presenting to C-level executives, Experience shaping business strategy, Knowledge of presentations and whiteboarding skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Applied AI Solutions Architecture team within AWS is seeking a hands-on, customer-obsessed Solutions Architect to accelerate customer adoption of Amazon Connect's AI capabilities. This role is part of the AI Velocity Team, a service-specific approach that assigns dedicated advisory and hands-on development resources directly to customers to achieve production-ready outcomes in weeks instead of months. As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three pillars of agentic AI: Model Selection: Guiding customers through evaluating and selecting the right foundation models (via Amazon Bedrock) for their contact center use cases, balancing latency, accuracy, cost, and compliance requirements. Prompt Engineering: Designing, testing, and optimizing AI prompts and system instructions for Amazon Connect AI agents, including self-service agents, answer recommendation agents, and custom orchestrator agents. Tooling: Architecting and building the tool integrations (APIs, Lambda functions, data connectors, knowledge bases) that agentic AI systems use to take actions on behalf of customers and agents. This included configuring MCP (Model Context Protocol) servers for standardized tool discovery and invocation, and enabling A2A (Agent-to-Agent) communication patterns for multi-agent orchestration across enterprise systems. A key dimension of this role is Customer Data Readiness. Assessing, preparing, and structuring customer data assets so that AI agents can reliably access, retrieve, and act on the right information. You will help customers evaluate their data landscape, identify gaps, establish data pipelines, and ensure their knowledge bases, CRMs, and backend systems are AI-ready before agents go live. You will work at the intersection of contact center operations and applied AI, helping customers move from proof-of-concept to pre-production for their Amazon Connect Unlimited AI deployments. This is a deeply technical, hands-on role, you will write code, build integrations, configure agents, and pair-program with customer engineering teams. Key job responsibilities Lead technical discovery sessions to understand customer business requirements, contact center architecture, and AI readiness, translating these into solution designs and implementation plans. Conduct data readiness assessments across customer systems (CRMs, knowledge bases, ticketing, order management) to identify gaps, recommend remediation, and establish the data foundation for AI agent tool use and RAG-powered responses. Design and configure agentic AI solutions within Amazon Connect, including multi-agent orchestration, prompt engineering, model selection, guardrails, and tool integration. Deploy Model Context Protocol (MCP) servers to expose customer tools, data sources, and APIs in a standardized format for dynamic AI agent discovery and invocation. Architect agent-to-agent communication patterns enabling multi-agent workflows across enterprise boundaries (e.g., billing, order management, IT support). Build serverless integrations (Lambda, API Gateway, Step Functions, Python/Node.js) connecting AI agents with customer data systems and cloud-based data stores (DynamoDB, RDS, S3, OpenSearch, Kendra/Knowledge Bases for Bedrock). Leverage agentic development environments (e.g., Kiro) to accelerate spec-driven development, MCP configuration, and AI-assisted code generation. Guide customers through AI agent testing, evaluation, and validation against success criteria prior to production deployment. Create reusable artifacts (reference architectures, implementation guides, prompt libraries, data readiness checklists) to scale best practices. A day in the life Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. About the team Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating, that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. This position is part of the Amazon Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges Basic Qualifications: - 5+ years of experience building integrations across WFM, CRM, and contact center solutions or experience with communications protocols and APIs such as WebRTC and SIP or similar CCaaS technology - Experience with complex Contact Center as a Service (CCaaS) implementations Preferred Qualifications: - Experience working with and presenting to C-level executives, IT, and lines of businesses across organizations or equivalent - Experience shaping business strategy for technical products or services for large enterprises or partners - Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Senior Applied AI Solutions Architect, Amazon Connect, AWS, AWS Applied AI Solutions at Amazon Web Services Australia Pty Ltd. Skills: Applied AI, Solutions Architecture, Amazon Connect, Agentic AI. Lead technical discovery sessions. Understand customer business requirements", "postedDate" : "2026-06-13T15:42:37.389", "createdAt" : "2026-06-13T15:42:37.389", "lastUpdated" : "2026-06-15T04:46:06.605", "ingestTimestamp" : "2026-06-13T15:42:37.389", "mongoId" : "6a2176ba74d8ee00a0c1ab7b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438413/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Model Selection", "Tool Integration", "Data Structuring", "Serverless Integration", "Multi-agent Orchestration", "Applied AI", "Solutions Architecture", "Amazon Connect", "Agentic AI", "Prompt Engineering", "Data Readiness", "Contact Center Operations", "AI Agent Development", "Contact Center AI", "Foundation Models", "Generative AI", "RAG", "CCaaS", "MCP", "A2A Communication", "Amazon Bedrock", "Kiro" ], "skillCount" : 22, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 644.36383, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69e104402beec4dd3def24fa", "title" : "Senior Applied AI Solutions Architect", "company" : "Amazon Web Services, Inc.", "industry" : "Solutions Architect, Solution Architect, Cloud Computing", "salary" : { "min" : 153600.0, "max" : 207800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T08:33:14.594", "fingerprint" : "3ec823dcbaafbaf0f8134b2cd1e06534cc2917183c3f8754c7d714c19f7ab677", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10387521/apply", "externalId" : "c48ed400-192e-4da4-9679-af236adf5b45", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Node.js, AWS Lambda, API Gateway, Step Functions, Amazon Connect, Amazon Bedrock, MCP, A2A, RAG, DynamoDB, RDS, S3, OpenSearch, Kendra", "professionalSkills" : [ "Go-to-market strategy", "Business expertise", "Technical expertise", "Contact center operations", "AI readiness", "Data readiness", "Data governance", "Data pipelines", "RAG-powered responses", "Tool integration", "Multi-agent orchestration", "Enterprise systems", "Knowledge bases", "CRMs", "Backend systems", "Service roadmap" ], "hardSkillsList" : [ "Model selection", "Prompt engineering", "Tool configuration", "Data structuring", "Data assessment", "Data preparation", "Serverless integration", "Cloud data access", "Pre-production validation", "Knowledge sharing", "Reference architectures", "Implementation guides", "Sample code", "Prompt libraries", "Data readiness checklists" ], "hardSkills" : [ { "name" : "Model selection", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Tool configuration", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data assessment", "level" : "intermediate" }, { "name" : "Data preparation", "level" : "intermediate" }, { "name" : "Serverless integration", "level" : "intermediate" }, { "name" : "Cloud data access", "level" : "intermediate" }, { "name" : "Pre-production validation", "level" : "intermediate" }, { "name" : "Knowledge sharing", "level" : "intermediate" }, { "name" : "Reference architectures", "level" : "intermediate" }, { "name" : "Implementation guides", "level" : "intermediate" }, { "name" : "Sample code", "level" : "intermediate" }, { "name" : "Prompt libraries", "level" : "intermediate" }, { "name" : "Data readiness checklists", "level" : "intermediate" } ], "majorSkills" : "Applied AI, Amazon Connect, Agentic AI, Foundation models", "majorSkillsList" : [ "Applied AI", "Amazon Connect", "Agentic AI", "Foundation models" ], "coreResponsibilities" : "Accelerate customer adoption, Prepare implementations for production, Guide model selection, Design AI prompts, Test AI prompts, Optimize AI prompts, Architect tool integrations, Build tool integrations, Configure MCP servers, Enable A2A communication, Assess customer data assets, Prepare customer data assets, Structure customer data assets, Build data foundation, Design agentic AI solutions, Configure agentic AI solutions, Create reusable artifacts, Provide feedback to product teams", "teamCollaboration" : "Customer teams; Customer engineering teams; Service teams; Partner ecosystem", "domainKnowledge" : "Contact center AI; Foundation models; Model Context Protocol; Agent-to-Agent communication; Retrieval-Augmented Generation", "domainList" : [ "contact-center-ai", "foundation-models", "model-context-protocol", "agent-to-agent-communication", "retrieval-augmented-generation" ], "domainSpecificKnowledge" : [ "Contact center AI", "Foundation models", "Model Context Protocol", "Agent-to-Agent communication", "Retrieval-Augmented Generation" ], "toolProficiency" : [ "Amazon Bedrock", "MCP servers", "AWS Lambda", "API Gateway", "Step Functions", "Amazon DynamoDB", "Amazon RDS", "Amazon S3", "Amazon OpenSearch", "Amazon Kendra" ], "communicationSkills" : "Technical discovery sessions", "documentationSkills" : "Implementation guides; Reference architectures", "problemSolvingSkills" : "Troubleshooting AI agents", "specialRequirements" : "Up to 25-40% travel", "outcomesObjectives" : "Achieve production-ready outcomes; Move from proof-of-concept to pre-production", "qualificationsBasic" : "5+ years experience, AWS Specialist experience", "qualificationsPreferred" : "Amazon Connect experience, Amazon Bedrock experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Application deadline: May 9, 2026 This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges. The Applied AI Solutions Architecture team within AWS is seeking a hands-on, customer-obsessed Solutions Architect to accelerate customer adoption of Amazon Connect's AI capabilities. This role is part of the AI Velocity Team — a service-specific approach that assigns dedicated advisory and hands-on development resources directly to customers to achieve production-ready outcomes in weeks instead of months. As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI: Model Selection — Guiding customers through evaluating and selecting the right foundation models (via Amazon Bedrock) for their contact center use cases, balancing latency, accuracy, cost, and compliance requirements. Prompt Configuration — Designing, testing, and optimizing AI prompts and system instructions for Amazon Connect AI agents, including self-service agents, answer recommendation agents, and custom orchestrator agents. Tool Configuration — Architecting and building the tool integrations (APIs, Lambda functions, data connectors, knowledge bases) that agentic AI systems use to take actions on behalf of customers and agents — including configuring MCP (Model Context Protocol) servers for standardized tool discovery and invocation, and enabling A2A (Agent-to-Agent) communication patterns for multi-agent orchestration across enterprise systems. A critical dimension of this role is Customer Data Readiness — assessing, preparing, and structuring customer data assets so that AI agents can reliably access, retrieve, and act on the right information. You will help customers evaluate their data landscape, identify gaps, establish data pipelines, and ensure their knowledge bases, CRMs, and backend systems are AI-ready before agents go live. You will work at the intersection of contact center operations and applied AI, helping customers move from proof-of-concept to pre-production for their Amazon Connect + Unlimited AI deployments. This is a deeply technical, hands-on role — you will write code, build integrations, configure agents, and pair-program with customer engineering teams. Willingness to travel up to 25-40% for on-site customer engagements Key job responsibilities Customer Engagement: Lead technical discovery sessions with customer teams to understand business requirements, existing contact center architecture, and AI readiness. Translate findings into actionable implementation plans. Customer Data Readiness: Conduct data readiness assessments to evaluate the quality, accessibility, structure, and governance of customer data assets (CRMs, knowledge bases, ticketing systems, order management, etc.). Identify data gaps, recommend remediation strategies, and help customers build the data foundation required for effective AI agent tool use and RAG-powered responses. Agentic AI Implementation: Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. MCP Server Configuration: Design and deploy Model Context Protocol (MCP) servers that expose customer tools, data sources, and APIs in a standardized format — enabling AI agents to dynamically discover and invoke capabilities across the customer's technology stack. A2A (Agent-to-Agent) Integration: Architect Agent-to-Agent communication patterns that allow Amazon Connect AI agents to collaborate with specialized agents across the enterprise (e.g., billing agents, order management agents, IT support agents), enabling multi-agent workflows that span organizational boundaries. Integration Development: Build serverless integrations using AWS Lambda, API Gateway, Step Functions, and scripting (Python, Node.js) to connect Amazon Connect AI agents with customer data systems (CRMs, ERPs, databases, knowledge bases). Cloud Data Access: Architect secure access patterns to cloud-based data systems (Amazon DynamoDB, Amazon RDS, Amazon S3, Amazon OpenSearch, Amazon Kendra/Knowledge Bases for Bedrock) to power AI agent tool use and retrieval-augmented generation (RAG). Pre-Production Validation: Guide customers through testing, evaluation, and validation of AI agent performance against defined success criteria before production deployment. Knowledge Sharing: Create reusable artifacts (reference architectures, implementation guides, sample code, prompt libraries, data readiness checklists) that scale best practices across the Connect SA community and partner ecosystem. Service Team Collaboration: Provide feedback to Amazon Connect and Amazon Bedrock product teams based on real-world customer implementations, contributing to product roadmap prioritization. A day in the life Pair-programming with customer developers to build and test AI agent configurations Designing prompt strategies and evaluating model performance across different foundation models Configuring MCP servers to expose customer APIs, databases, and tools in a standardized format for agent consumption Designing A2A workflows where Amazon Connect agents hand off to or collaborate with specialized agents across the customer's enterprise Configuring knowledge bases and data connectors for RAG-powered agent responses Conducting architecture reviews and providing prescriptive guidance for production readiness Documenting implementation patterns and contributing to the team's knowledge base Participating in weekly syncs with Connect service teams to share customer feedback and product insights About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - 7+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience - Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders - Willingness to travel up to 25-40% for on-site customer engagements - Familiarity with interoperability protocols such as MCP (Model Context Protocol) for standardized tool integration and/or A2A (Agent-to-Agent) for multi-agent communication - Demonstrated experience with AI/ML concepts including large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and model evaluation Preferred Qualifications: - 2+ years of contact center experience, or experience with AWS services or other cloud offerings - Experience with CI/CD pipelines build processes - AWS certification, such as, AWS Solutions Architect, or a similar cloud certification - Bachelor's degree or above in computer science, machine learning, engineering, or related fields - Hands-on experience with Amazon Bedrock, including model invocation, agent creation, knowledge base configuration, and guardrails - Experience with agentic AI patterns — multi-agent orchestration, tool use, function calling, chain-of-thought reasoning, and autonomous agent workflows - Hands-on experience building and deploying MCP servers — exposing enterprise tools and APIs via Model Context Protocol for dynamic agent tool discovery and invocation Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Mountain View - 176,600.00 - 239,000.00 USD annually USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually USA, CO, Denver - 153,600.00 - 207,800.00 USD annually USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually USA, IL, Chicago - 153,600.00 - 207,800.00 USD annually USA, NY, New York - 169,000.00 - 228,600.00 USD annually USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually USA, VA, Herndon - 153,600.00 - 207,800.00 USD annually USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually", "summaryDescription" : "Senior Applied AI Solutions Architect at Amazon Web Services, Inc.. Skills: Applied AI, Amazon Connect, Agentic AI, Foundation models. Accelerate customer adoption. Prepare implementations for production", "postedDate" : "2026-06-13T11:29:54.084", "createdAt" : "2026-06-13T11:29:54.084", "lastUpdated" : "2026-06-15T08:33:14.594", "ingestTimestamp" : "2026-06-13T11:29:54.084", "mongoId" : "69e104402beec4dd3def24fa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10387521/apply", "salaryAnnualMin" : 153600, "salaryAnnualMax" : 207800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Model selection", "Prompt engineering", "Tool configuration", "Data structuring", "Data assessment", "Data preparation", "Serverless integration", "Cloud data access", "Pre-production validation", "Knowledge sharing", "Reference architectures", "Implementation guides", "Sample code", "Prompt libraries", "Data readiness checklists", "Applied AI", "Amazon Connect", "Agentic AI", "Foundation models", "Go-to-market strategy", "Business expertise", "Technical expertise", "Contact center operations", "AI readiness", "Data readiness", "Data governance", "Data pipelines", "RAG-powered responses", "Tool integration", "Multi-agent orchestration", "Enterprise systems", "Knowledge bases", "CRMs", "Backend systems", "Service roadmap", "Contact center AI", "Model Context Protocol", "Agent-to-Agent communication", "Retrieval-Augmented Generation", "Amazon Bedrock", "MCP servers", "AWS Lambda", "API Gateway", "Step Functions", "Amazon DynamoDB", "Amazon RDS", "Amazon S3", "Amazon OpenSearch", "Amazon Kendra" ], "skillCount" : 49, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 641.6987, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a660474d8ee00a062b84b", "title" : "Senior Applied Scientist, Applied AI Solutions GTM", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Applied Science, Cloud Computing", "salary" : { "min" : 167100.0, "max" : 226100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Dallas, Texas, USA", "locations" : [ "Dallas, Texas, USA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "timestamp" : "2026-06-15T02:59:18.033", "fingerprint" : "ff37d704486df0cfb881f2635175f2f6da34b779e174e5e479eb540c638fe1f2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10442312/apply", "externalId" : "7766cbdb-38e7-4977-b2c8-b8408f6a6196", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, SQL, Spark, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, NLP, Generative AI", "professionalSkills" : [ "Business strategy", "Go-to-market strategy", "Value quantification", "Demand prediction", "Capacity planning", "Workforce optimization", "Customer segmentation", "Usage trend analysis", "Propensity modeling", "Strategic intelligence", "Investment priorities" ], "hardSkillsList" : [ "Statistical modeling", "Machine learning", "Data science", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "AI solutions", "Predictive models", "Reusable tooling", "Customer engagement", "Scalable analytical assets", "Production pilots", "Measurable business value", "A/B experiments", "Causal inference", "ROI models", "Business case tools", "Forecasting systems", "NLP techniques", "Generative AI techniques", "Structured data analysis", "Unstructured data analysis", "Model productionization", "Reliability", "Monitoring", "Operational excellence", "Customer analytics", "Segmentation", "Usage trend analysis", "Propensity modeling", "Foundational datasets", "Service usage analysis", "Sales data integration", "Self-service analytics", "Automated insight delivery", "Strategic intelligence", "Reusable analytical assets", "Diagnostic notebooks", "Benchmarking studies", "Scalable tooling", "Model performance measurement", "Adoption measurement", "Business impact measurement", "Customer cohort analysis", "Strategic frameworks", "GTM recommendations", "Data pattern translation", "Market signal translation", "Actionable GTM motions", "Investment priority definition", "Finding communication", "Technical trade-off communication" ], "softSkillsList" : [ "Autonomy" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data science", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "AI solutions", "level" : "intermediate" }, { "name" : "Predictive models", "level" : "intermediate" }, { "name" : "Reusable tooling", "level" : "intermediate" }, { "name" : "Customer engagement", "level" : "intermediate" }, { "name" : "Scalable analytical assets", "level" : "intermediate" }, { "name" : "Production pilots", "level" : "intermediate" }, { "name" : "Measurable business value", "level" : "intermediate" }, { "name" : "A/B experiments", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "ROI models", "level" : "intermediate" }, { "name" : "Business case tools", "level" : "intermediate" }, { "name" : "Forecasting systems", "level" : "intermediate" }, { "name" : "NLP techniques", "level" : "intermediate" }, { "name" : "Generative AI techniques", "level" : "intermediate" }, { "name" : "Structured data analysis", "level" : "intermediate" }, { "name" : "Unstructured data analysis", "level" : "intermediate" }, { "name" : "Model productionization", "level" : "intermediate" }, { "name" : "Reliability", "level" : "intermediate" }, { "name" : "Monitoring", "level" : "intermediate" }, { "name" : "Operational excellence", "level" : "intermediate" }, { "name" : "Customer analytics", "level" : "intermediate" }, { "name" : "Segmentation", "level" : "intermediate" }, { "name" : "Usage trend analysis", "level" : "intermediate" }, { "name" : "Propensity modeling", "level" : "intermediate" }, { "name" : "Foundational datasets", "level" : "intermediate" }, { "name" : "Service usage analysis", "level" : "intermediate" }, { "name" : "Sales data integration", "level" : "intermediate" }, { "name" : "Self-service analytics", "level" : "intermediate" }, { "name" : "Automated insight delivery", "level" : "intermediate" }, { "name" : "Strategic intelligence", "level" : "intermediate" }, { "name" : "Reusable analytical assets", "level" : "intermediate" }, { "name" : "Diagnostic notebooks", "level" : "intermediate" }, { "name" : "Benchmarking studies", "level" : "intermediate" }, { "name" : "Scalable tooling", "level" : "intermediate" }, { "name" : "Model performance measurement", "level" : "intermediate" }, { "name" : "Adoption measurement", "level" : "intermediate" }, { "name" : "Business impact measurement", "level" : "intermediate" }, { "name" : "Customer cohort analysis", "level" : "intermediate" }, { "name" : "Strategic frameworks", "level" : "intermediate" }, { "name" : "GTM recommendations", "level" : "intermediate" }, { "name" : "Data pattern translation", "level" : "intermediate" }, { "name" : "Market signal translation", "level" : "intermediate" }, { "name" : "Actionable GTM motions", "level" : "intermediate" }, { "name" : "Investment priority definition", "level" : "intermediate" }, { "name" : "Finding communication", "level" : "intermediate" }, { "name" : "Technical trade-off communication", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Autonomy" } ], "majorSkills" : "Applied AI, Machine Learning, Data Science, Go-to-market strategy", "majorSkillsList" : [ "Applied AI", "Machine Learning", "Data Science", "Go-to-market strategy" ], "coreResponsibilities" : "Design statistical models, Develop statistical models, Deploy statistical models, Design machine learning pipelines, Develop machine learning pipelines, Deploy machine learning pipelines, Build AI solutions, Deploy AI solutions, Design A/B experiments, Execute A/B experiments, Design causal inference analyses, Execute causal inference analyses, Build ROI models, Build business case tools, Build forecasting systems, Apply NLP techniques, Apply generative AI techniques, Extract insights from data, Productionize models, Build customer analytics capabilities, Create segmentation, Analyze usage trends, Build propensity models, Combine service usage with sales data, Create self-service analytics platforms, Create automated insight delivery mechanisms, Enable leadership to pull strategic intelligence, Enable field teams with reusable analytical assets, Create diagnostic notebooks, Create benchmarking studies, Create scalable tooling, Accelerate customer engagements, Own success metrics, Create mechanisms to measure model performance, Measure model adoption, Measure business impact, Define strategic frameworks, Define GTM recommendations, Translate data patterns into motions, Translate market signals into motions, Communicate findings to senior leadership, Communicate technical trade-offs to senior leadership, Communicate findings to customer executives, Communicate technical trade-offs to customer executives", "teamCollaboration" : "Software engineers; Product managers; Business stakeholders; Field teams; Customer engagement teams; AAIS product teams; AAIS science teams; Worldwide field organization", "domainKnowledge" : "Applied AI; Generative AI; Cloud data stacks; Statistical methods; ML frameworks; BI platforms; Modelling skills", "domainList" : [ "applied-ai", "generative-ai", "cloud-data-stacks", "statistical-methods", "ml-frameworks", "bi-platforms", "modelling-skills" ], "domainSpecificKnowledge" : [ "Applied AI", "Generative AI", "Cloud data stacks", "Statistical methods", "ML frameworks", "BI platforms", "Modelling skills" ], "toolProficiency" : [ "AWS", "SageMaker", "Vertex AI", "ML Studio" ], "communicationSkills" : "Written documents; Presentations", "documentationSkills" : "6-pagers; Science reviews", "problemSolvingSkills" : "Identify methodology", "outcomesObjectives" : "Drive product improvements; Drive business decisions; Drive customer outcomes; Demonstrate measurable business value; Measure impact of new features; Measure impact of model changes; Quantify value proposition; Accelerate customer engagements; Measure model performance; Measure model adoption; Measure business impact; Translate data patterns into GTM motions; Translate market signals into GTM motions", "qualificationsBasic" : "Master's degree and 6+ years of applied research experience, 5+ years of building machine learning models, 5+ years of experience in data science, 5+ years of experience in machine learning, 5+ years of experience in statistical modeling, 5+ years of experience in quantitative analysis, 5+ years of experience in data engineering, 5+ years of experience in business intelligence, 5+ years of experience in analytics engineering, 5+ years of experience in AI solutions, 5+ years of experience in GTM strategy, 5+ years of experience in predictive models, 5+ years of experience in reusable tooling, 5+ years of experience in customer engagement, 5+ years of experience in data science, 5+ years of experience in machine learning, 5+ years of experience in business strategy, 5+ years of experience in quantifying value, 5+ years of experience in scalable analytical assets, 5+ years of experience in AI solutions, 5+ years of experience in enterprise customers, 5+ years of experience in scientific direction, 5+ years of experience in technical audiences, 5+ years of experience in non-technical audiences, 5+ years of experience in data science approaches, 5+ years of experience in intelligent analytics, 5+ years of experience in customer-facing impact, 5+ years of experience in complex model outputs, 5+ years of experience in business decisions, 5+ years of experience in statistical models, 5+ years of experience in machine learning pipelines, 5+ years of experience in product improvements, 5+ years of experience in business decisions, 5+ years of experience in customer outcomes, 5+ years of experience in production pilots, 5+ years of experience in AI solutions, 5+ years of experience in measurable business value, 5+ years of experience in A/B experiments, 5+ years of experience in causal inference analyses, 5+ years of experience in new features, 5+ years of experience in model changes, 5+ years of experience in ROI models, 5+ years of experience in business case tools, 5+ years of experience in forecasting systems, 5+ years of experience in demand prediction, 5+ years of experience in capacity planning, 5+ years of experience in workforce optimization, 5+ years of experience in value quantification, 5+ years of experience in NLP, 5+ years of experience in generative AI techniques, 5+ years of experience in structured data, 5+ years of experience in unstructured data, 5+ years of experience in productionizing models, 5+ years of experience in reliability, 5+ years of experience in monitoring, 5+ years of experience in operational excellence, 5+ years of experience in customer analytics capabilities, 5+ years of experience in segmentation, 5+ years of experience in usage trend analysis, 5+ years of experience in propensity modeling, 5+ years of experience in foundational datasets, 5+ years of experience in service usage, 5+ years of experience in sales data, 5+ years of experience in self-service analytics platforms, 5+ years of experience in automated insight delivery, 5+ years of experience in strategic intelligence, 5+ years of experience in reusable analytical assets, 5+ years of experience in diagnostic notebooks, 5+ years of experience in benchmarking studies, 5+ years of experience in scalable tooling, 5+ years of experience in customer engagements, 5+ years of experience in success metrics, 5+ years of experience in model performance, 5+ years of experience in adoption, 5+ years of experience in business impact, 5+ years of experience in customer cohorts, 5+ years of experience in strategic frameworks, 5+ years of experience in GTM recommendations, 5+ years of experience in data patterns, 5+ years of experience in market signals, 5+ years of experience in actionable go-to-market motions, 5+ years of experience in investment priorities, 5+ years of experience in findings, 5+ years of experience in technical trade-offs, 5+ years of experience in written documents, 5+ years of experience in presentations, 5+ years of experience in shared resource, 5+ years of experience in 2-3 teams simultaneously", "qualificationsPreferred" : "PhD, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Web Services (AWS) Applied AI Solutions (AAIS) is on a mission to make AI real for enterprises. We build and deploy production AI solutions that drive measurable business outcomes at scale, bringing together applied scientists, AI architects, business development professionals, and GTM specialists to help customers move from AI experimentation to production impact. Within AAIS, the GTM Acceleration team activates the field, measures impact, and scales what works. We are the connective tissue between AAIS product and science teams and the worldwide field organization, ensuring our AI solutions reach customers effectively, that we quantify the value we deliver, and that we build repeatable motions that scale globally. We are looking for an Applied Scientist who will serve as a force multiplier across our customer engagement teams, building the analytical foundations, predictive models, and reusable tooling that power our go-to-market strategy. You will work at the intersection of data science, machine learning, and business strategy, building models that quantify our value proposition, and creating scalable analytical assets that accelerate every engagement. This is a highly visible, high-impact role where your work directly influences how we demonstrate and measure the value of AWS AI solutions for enterprise customers. You will operate with significant autonomy, owning the scientific direction of your projects while collaborating with software engineers, product managers, and business stakeholders. You will identify the right methodology for each problem, whether that is a classical statistical approach, a modern deep learning technique, or a novel combination, and communicate your findings clearly to both technical and non-technical audiences. This role spans Connect Customer initiatives and across the Applied AI solution portfolio, offering the opportunity to pioneer data science approaches that scale intelligent analytics worldwide. If you thrive at the intersection of rigorous science and customer-facing impact and are energized by translating complex model outputs into business decisions, we want to talk to you. Key job responsibilities Design, develop, and deploy statistical models and machine learning pipelines to drive product improvements, business decisions, and customer outcomes Work directly with customers during production pilots to build and deploy AI solutions that demonstrate measurable business value Design and execute A/B experiments and causal inference analyses to measure the impact of new features and model changes Build ROI models, business case tools, and forecasting systems for demand prediction, capacity planning, workforce optimization, and value quantification Apply NLP and generative AI techniques to extract insights from structured and unstructured data at scale, and partner with software engineers to productionize models with reliability, monitoring, and operational excellence Build and own customer analytics capabilities including segmentation (by size tier, AI adoption, product penetration, entitlement), usage trend analysis, propensity modeling, and foundational datasets combining service usage with sales data Create self-service analytics platforms and automated insight delivery mechanisms that enable leadership to pull strategic intelligence on demand Enable field teams with reusable analytical assets, diagnostic notebooks, benchmarking studies, and scalable tooling that accelerate customer engagements Own success metrics and create mechanisms to measure model performance, adoption, and business impact across customer cohorts Define strategic frameworks and GTM recommendations by segment, translating data patterns and market signals into actionable go-to-market motions and investment priorities Communicate findings and technical trade-offs to senior leadership and customer executives through written documents (6-pagers, science reviews) and presentations, operating as a shared resource across 2-3 teams simultaneously About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - PhD, or Master's degree and 6+ years of applied research experience - 5+ years of building machine learning models for business application experience - Experience with neural deep learning methods and machine learning - Experience managing analytics, data science or technology teams, with a product or insight focus - Experience working with diverse or differing data sets including creating and compiling data into a final distribution for management consumption - Experience with customer segmentation, profiling, and targeting Preferred Qualifications: - PhD - Track record of delivering end-to-end data science solutions from problem definition through production deployment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Mountain View - 192,200.00 - 260,000.00 USD annually USA, CA, San Francisco - 192,200.00 - 260,000.00 USD annually USA, IL, Chicago - 167,100.00 - 226,100.00 USD annually USA, NY, New York - 183,800.00 - 248,700.00 USD annually USA, TX, Austin - 167,100.00 - 226,100.00 USD annually USA, TX, Dallas - 167,100.00 - 226,100.00 USD annually USA, VA, Herndon - 167,100.00 - 226,100.00 USD annually USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually", "summaryDescription" : "Senior Applied Scientist, Applied AI Solutions GTM at Amazon Development Center U.S., Inc.. Skills: Applied AI, Machine Learning, Data Science, Go-to-market strategy. Design statistical models. Develop statistical models", "postedDate" : "2026-06-13T08:35:07.985", "createdAt" : "2026-06-13T08:35:07.985", "lastUpdated" : "2026-06-15T02:59:18.033", "ingestTimestamp" : "2026-06-13T08:35:07.985", "mongoId" : "6a2a660474d8ee00a062b84b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10442312/apply", "salaryAnnualMin" : 167100, "salaryAnnualMax" : 226100, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical modeling", "Machine learning", "Data science", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "AI solutions", "Predictive models", "Reusable tooling", "Customer engagement", "Scalable analytical assets", "Production pilots", "Measurable business value", "A/B experiments", "Causal inference", "ROI models", "Business case tools", "Forecasting systems", "NLP techniques", "Generative AI techniques", "Structured data analysis", "Unstructured data analysis", "Model productionization", "Reliability", "Monitoring", "Operational excellence", "Customer analytics", "Segmentation", "Usage trend analysis", "Propensity modeling", "Foundational datasets", "Service usage analysis", "Sales data integration", "Self-service analytics", "Automated insight delivery", "Strategic intelligence", "Reusable analytical assets", "Diagnostic notebooks", "Benchmarking studies", "Scalable tooling", "Model performance measurement", "Adoption measurement", "Business impact measurement", "Customer cohort analysis", "Strategic frameworks", "GTM recommendations", "Data pattern translation", "Market signal translation", "Actionable GTM motions", "Investment priority definition", "Finding communication", "Technical trade-off communication", "Autonomy", "Applied AI", "Machine Learning", "Data Science", "Go-to-market strategy", "Business strategy", "Value quantification", "Demand prediction", "Capacity planning", "Workforce optimization", "Customer segmentation", "Investment priorities", "Generative AI", "Cloud data stacks", "Statistical methods", "ML frameworks", "BI platforms", "Modelling skills", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified", "AWS", "SageMaker", "Vertex AI", "ML Studio" ], "skillCount" : 79, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 640.9102, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca43a74d8ee00a09b0d0f", "title" : "Talent Acquisition - Working Student (French Speaking)", "company" : "Picnic", "industry" : "E-Commerce", "salary" : { "min" : 18000.0, "max" : 24000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level working student in the e-commerce industry in Amsterdam, Netherlands, adjusted for internship employment type." }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands" ], "timestamp" : "2026-06-16T03:09:14.550", "fingerprint" : "5263be6147f2dd83662af944c927970f0cf4737ee5e66365dfffb96741b22c71", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.picnic.app/nl/vacancies?gh_jid=7314491", "externalId" : "7314491", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "INTERNSHIP", "majorSkills" : "Talent Acquisition, Recruitment, Sourcing", "majorSkillsList" : [ "Talent Acquisition", "Recruitment", "Sourcing" ], "coreResponsibilities" : "Collaborate with recruiters and internal teams, Identify recruitment needs, Identify best talents, Source candidates using LinkedIn Recruiter, Approach potential candidates, Present opportunities to candidates, Develop creative strategies, Attract unique profiles, Improve recruitment methods, Strengthen team performance", "teamCollaboration" : "Work with recruiters; Work with internal teams", "toolProficiency" : [ "LinkedIn Recruiter" ], "continuousLearning" : "Lunch & Learn sessions; Tailored non-technical skills training; Professional language courses", "qualificationsBasic" : "Studies in business, HR, psychology, First experience in active sourcing or recruitment, Perfect command of English, Perfect command of French", "qualificationsPreferred" : "Greenhouse ATS knowledge", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "En bref Vous avez envie de contribuer à la révolution des supermarchés ? Chez Picnic, vous avez l’opportunité de rejoindre une jeune équipe créative et bouillonnante, dans une culture start-up, où tout ce que vous faites compte. Grâce à une approche basée sur les données (data-driven) et un service unique, Picnic se bat pour faire des courses quelque chose de simple, drôle et accessible à tous. En outre, nous travaillons dans la perspective d’un avenir plus durable en utilisant des technologies de pointe et en exploitant une flotte de véhicules de livraison 100 % électriques. En 2021, Picnic a levé 600 millions d’euros auprès de la Fondation Bill & Melinda Gates afin de se développer en Europe. Après avoir lancé avec succès les opérations en Allemagne et dans le Nord de la France, nous poursuivons maintenant notre expansion en France en nous développant notamment en région parisienne. Tes missions Collaboration: tu travailleras en étroite collaboration avec les recruteurs et les équipes internes pour identifier précisément les besoins en recrutement et dénicher les meilleurs talents. Recherche de candidats: à l'aide de LinkedIn Recruiter et d'autres techniques de recherche pour identifier, approcher et présenter les opportunités Picnic aux candidats potentiels. Stratégie: tu aideras l'équipe à l'élaboration de stratégies créatives pour attirer des profils uniques sur un marché concurrentiel. Innovation: tu apporteras des idées nouvelles pour améliorer continuellement nos méthodes de recrutement et renforcer la performance de l'équipe. À propos de toi Tu poursuis actuellement des études en commerce, ressources humaines, psychologie ou dans un domaine similaire. Tu as une première expérience en sourcing actif ou en recrutement, acquise lors de stages ou d'emplois étudiants. Tu es roactif(ve), ambitieux(se) et n'hésitez pas à proposer et partager de nouvelles idées. Tu maîtrises parfaitement l'anglais et le française à l'oral comme à l'écrit. Tu doté(e) d'un fort esprit d'équipe, d'un grand sens de l'organisation et d'une attention particulière aux détails. Chez Picnic, nous utilisons Greenhouse comme ATS. C'est un plus si tu le connais déjà ou si tu as envie de l'apprendre ! Avantages Picnic Chaque expert a un jour été débutant ! Tu auras de nombreuses occasions de te mettre au défi et de t'épanouir, notamment grâce aux sessions Lunch & Learn et à la formation sur mesure en compétences non techniques. Nous proposons également des cours de langue professionnels hebdomadaires gratuits. Fais la différence Tu travailleras dans un environnement stimulant, avec la liberté de mener tes propres projets et de créer un impact direct et visible. Grâce à nos véhicules entièrement électriques et à notre modèle économique durable, tu contribueras également à rendre le monde meilleur ! Le travail d'équipe nous fait avancer ! Avec plus de 80 nationalités réparties dans 3 pays, tu feras partie d'une entreprise diversifiée qui offre de nombreuses occasions de s'investir, qu'il s'agisse de soirées à thème, d'apéritifs entre collègues ou de nos séjours annuels au ski, etc. Reste en bonne santé La santé mentale est importante. En plus de la possibilité de parler avec des collègues qui agissent en tant que conseiller(ère)s confidentiel(le)s, notre collaboration avec OpenUp te donne un accès facile et gratuit à des psychologues professionnels, ainsi qu'à des ateliers et des outils pratiques. Il existe de nombreuses communautés et événements sportifs auxquels tu peux participer, du tennis au yoga en passant par l'escalade ! Équilibre entre vie professionnelle et vie privée Dans la mesure du possible, nous souhaitons permettre aux gens de travailler selon des modalités adaptées à leur style de travail, c'est pourquoi nous avons un modèle de travail hybride. Nos équipes aiment généralement avoir au moins un jour en équipe par semaine au bureau, mais à part cela, c'est toi et ton équipe qui décidez. Engagement en faveur de l'égalité des chances Picnic est un employeur qui respecte l'égalité des chances, ce qui signifie que toutes les décisions concernant les candidatures seront fondées sur les qualifications et le mérite. Les candidats seront considérés indépendamment de leur âge, de leur identité ou expression de genre, de leur orientation sexuelle, de leur origine ethnique, de la couleur de leur peau, de leur état civil, de leur croyance religieuse, de leur handicap physique ou mental, ou de tout autre facteur protégé par la loi. Chez Picnic, nous célébrons et valorisons nos différences et nous nous engageons à créer un environnement de travail sûr et inclusif où chacun(e) peut être lui(elle)-même. Merci de soumettre ta candidature en anglais.", "summaryDescription" : "Talent Acquisition - Working Student (French Speaking) at Picnic. Skills: Talent Acquisition, Recruitment, Sourcing. Collaborate with recruiters and internal teams. Identify recruitment needs", "postedDate" : "2026-06-14T21:00:49.688", "createdAt" : "2026-06-14T21:00:49.688", "lastUpdated" : "2026-06-16T03:09:14.550", "ingestTimestamp" : "2026-06-14T21:00:49.688", "mongoId" : "6a2ca43a74d8ee00a09b0d0f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Talent Acquisition", "Recruitment", "Sourcing", "LinkedIn Recruiter" ], "skillCount" : 4, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 640.05, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 39008, "totalPages" : 781, "hasNext" : true, "hasPrevious" : false } }

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