{ "count" : 34521, "data" : [ { "id" : "6a25799f74d8ee00a0186aab", "title" : "Internship: Digital Solutions – Automation, Robotics & Data", "company" : "GSK", "industry" : "Biopharma", "salary" : { "min" : 20000.0, "max" : 30000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in Belgium, adjusted for the biotech industry and company size." }, "location" : "Belgium-Rixensart", "locations" : [ "Belgium-Rixensart" ], "timestamp" : "2026-06-11T19:30:36.531", "fingerprint" : "f0be353b9f190676d50b88aaa3a76a0bdfecaf5b904fce2de6d64959d9dd9124", "source" : "workday", "language" : "en", "applyUrl" : "https://gsk.wd5.myworkdayjobs.com/GSKCareers/job/Belgium-Rixensart/Internship--Digital-Solutions---Automation--Robotics---Data--Belgium---2026_441925", "externalId" : "441925", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Rixensart", "country" : "Belgium", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "50.7122566,4.5216218" } ], "locationText" : "Rixensart, Belgium", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, Data processing, Software architecture, Data visualization, Analytics dashboards, APIs, Cloud data environments", "professionalSkills" : [ "Software development", "Data engineering", "Digital solutions", "Applied digital solutions" ], "hardSkillsList" : [ "Log parsing", "Data extraction", "Code robustness", "Code modularity" ], "softSkillsList" : [ "Analytical skills", "Problem-solving skills", "Eagerness to learn" ], "hardSkills" : [ { "name" : "Log parsing", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Code robustness", "level" : "intermediate" }, { "name" : "Code modularity", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical skills" }, { "name" : "Problem-solving skills" }, { "name" : "Eagerness to learn" } ], "majorSkills" : "Automation, Robotics, Data Engineering, Software Development", "majorSkillsList" : [ "Automation", "Robotics", "Data Engineering", "Software Development" ], "coreResponsibilities" : "Contribute to development and extension of internal application, Refine and extend log-parsing algorithms, Refine and extend data-extraction algorithms, Translate user feedback into software features, Translate user feedback into metrics, Translate user feedback into visualizations, Prototype a cross-platform dashboard, Summarize key robot metrics, Improve code robustness, Improve code modularity, Improve code documentation, Support formalization of technical learnings, Support formalization of user requirements", "teamCollaboration" : "Cross-functional stakeholders; Scientists; Automation experts; Digital teams", "domainKnowledge" : "Laboratory automation; Robotics; Life-science R&D; Liquid handling robots", "domainList" : [ "laboratory-automation", "robotics", "life-science-r-d", "liquid-handling-robots" ], "domainSpecificKnowledge" : [ "Laboratory automation", "Robotics", "Life-science R&D", "Liquid handling robots" ], "communicationSkills" : "Written communication; Spoken communication", "documentationSkills" : "Documentation", "innovationCreativity" : "Proof of concept development; Prototype development", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "qualificationsBasic" : "Enrolled in Bachelor or Master’s degree, Good programming skills in Python, Basic knowledge of data processing, Basic knowledge of software architecture, Basic knowledge of data visualization, Mandatory internship in curriculum framework", "qualificationsPreferred" : "Familiarity with analytics dashboards, Familiarity with APIs, Familiarity with cloud data environments, Interest in laboratory automation, Interest in robotics, Interest in life-science R&D", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "[https://www.youtube.com/watch?v=n6euQqD5bb8](https://www.youtube.com/watch?v=n6euQqD5bb8) # **Help us get ahead of disease together with our Internship Programme** # **Education required:** You are regularly **enrolled** in a Bachelor or Master’s degree in Computer Science, Software Engineering, Data Engineering, Bioinformatics, Automation, or a related scientific/engineering field in an Educational Establishment located in Europe. **Language requirement:** Good level in French and/or in English (written and spoken) is required **Other requirements:** * Good programming skills in Python are required * Basic knowledge of data processing, software architecture, or data visualization is required * Familiarity with analytics dashboards, APIs, or cloud data environments is a plus * Interest in laboratory automation, robotics, or life‑science R&D is a strong plus **Expected start date:** As soon as possible **Duration:** Between 3 to 6 months **Work arrangements:** Hybrid (on‑site in Belgium with limited remote work possibilities) **Requisite** : The internship must be mandatory & done in the framework of the curriculum, for which an agreement must be signed between GSK, the student and the Educational Establishment. **Remuneration:** according to Belgian legal requirements, the internship will not be paid. However, some expenses will be reimbursed. **Application deadline:** We will close this vacancy when we have enough applications, so please apply as soon as you can to be considered. # **Are you looking to gain valuable world work experience and help to positively impact the health of billions of people? Apply for a GSK Internship today!** # A GSK internship offers you the opportunity to kickstart your career – to take on a real role with genuine impact! You’ll take on challenging, serious work on live projects or assignments. You’ll also get to learn from us, develop your skills and gain valuable experience for wherever the future takes you. # **What will you do?** * Contribute to the development and extension of internal application under proof of concept used by scientists to interpret liquid handling robots log files * Refine and extend log‑parsing and data‑extraction algorithms for liquid handling robots * Translate pilot user feedback into new software features, metrics, and visualizations * Prototype a cross‑platform dashboard summarizing key robot metrics (usage, errors, consumables, activity) * Improve code robustness, modularity, and documentation to support future technology handover * Support the formalization of technical learnings and user requirements (URS) for potential Tech ownership # **What are we looking for?** * A strong interest in software development, data engineering, and applied digital solutions * Curiosity for automation, robotics, and how digital tools can support scientists * Ability to translate user needs into technical implementations * Strong analytical and problem‑solving skills * Good communication skills and ability to work with cross‑functional stakeholders (scientists, automation experts, digital teams) * Autonomy, structured thinking, and eagerness to learn in a fast‑moving environment # **Let’s do this!** You’ll find hints, tips and guidance on our recruitment process on our website. Learn more about the application process [gsk.to/ECprocess](https://gsk.to/ECprocess). You can learn more about GSK and our careers here # **Apply now!** **_Need help with your application?_** Please email us at [_WW.EarlyCareers @gsk.com_](mailto:WW.EarlyCareers@gsk.com) and let us know how we can help you. #Li-GSK #InternshipBE This is a temporary internship/apprenticeship opportunity focused on professional development. Any reimbursement, scholarship, allowance, or financial support will be provided in accordance with applicable local laws, regulations, and GSK site policies. More detailed information will be provided during the recruitment process.Il s’agit d’une opportunité de stage/alternance temporaire axée sur le développement professionnel. Tout remboursement, bourse, indemnité ou soutien financier sera accordé conformément aux lois et réglementations locales applicables, ainsi qu’aux politiques du site GSK. Des informations plus détaillées seront fournies au cours du processus de recrutement. If you have a disability and require assistance during the course of the selection process, you will have the opportunity to let us know what specific assistance you require in order to make suitable arrangements. **Why GSK?** **Uniting science, technology and talent to get ahead of disease together.** GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. **Important notice to Employment businesses/ Agencies** GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.", "summaryDescription" : "Internship: Digital Solutions – Automation, Robotics & Data at GSK. Skills: Automation, Robotics, Data Engineering, Software Development. Contribute to development and extension of internal application. Refine and extend log-parsing algorithms", "postedDate" : "2026-06-08T09:54:39.179", "createdAt" : "2026-06-11T09:54:39.021", "lastUpdated" : "2026-06-11T19:30:36.531", "ingestTimestamp" : "2026-06-11T09:54:39.021", "mongoId" : "6a25799f74d8ee00a0186aab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://gsk.wd5.myworkdayjobs.com/GSKCareers/job/Belgium-Rixensart/Internship--Digital-Solutions---Automation--Robotics---Data--Belgium---2026_441925", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Log parsing", "Data extraction", "Code robustness", "Code modularity", "Analytical skills", "Problem-solving skills", "Eagerness to learn", "Automation", "Robotics", "Data Engineering", "Software Development", "Software development", "Data engineering", "Digital solutions", "Applied digital solutions", "Laboratory automation", "Life-science R&D", "Liquid handling robots" ], "skillCount" : 18, "jobCategory" : "engineering", "seniorityLevel" : "junior", "dataQualityScore" : 1.0, "_score" : 1088.3763, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biopharma" }, { "id" : "6a2c6ace74d8ee00a090e1b2", "title" : "Robotics Solutions Engineer", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 150000.0, "max" : 230000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "INN - Remote - US", "locations" : [ "INN - Remote - US" ], "timestamp" : "2026-06-15T05:04:42.906", "fingerprint" : "ebc79a3be5541912ea65340ce366c840c7ad91b9cd4ba0603d2fa7e422c10219", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4282301009", "externalId" : "4282301009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, C++, Java, Linux", "professionalSkills" : [ "Technical partner", "Customer-facing mindset", "Pre-sales mindset", "Post-sales mindset", "Technical projects", "Customer engagements" ], "hardSkillsList" : [ "Data engineering", "Robotics data capture", "ML model building", "Data capture solutions", "Technical pilots", "Data pipelines", "Evaluation strategies", "Robotics models", "World models" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Robotics data capture", "level" : "intermediate" }, { "name" : "ML model building", "level" : "intermediate" }, { "name" : "Data capture solutions", "level" : "intermediate" }, { "name" : "Technical pilots", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Evaluation strategies", "level" : "intermediate" }, { "name" : "Robotics models", "level" : "intermediate" }, { "name" : "World models", "level" : "intermediate" } ], "majorSkills" : "Robotics, Physical AI, Data engineering, AI", "majorSkillsList" : [ "Robotics", "Physical AI", "Data engineering", "AI" ], "coreResponsibilities" : "Collaborate with Client Partners, Scope technical pilots, Deliver technical pilots, Earn technical win, Work closely with Engineering, Work closely with Product, Design robotics data capture solutions, Implement robotics data capture solutions, Design sensors/rigs, Implement sensors/rigs, Design teleop/UMI flows, Implement teleop/UMI flows, Design egocentric capture pipelines, Implement egocentric capture pipelines, Collaborate with customers' robotics teams, Collaborate with customers' ML teams, Understand customer architectures, Define data requirements, Define evaluation requirements, Design execution plans, Translate requirements into SOWs, Design customized demos, Run customized demos, Design playbooks, Run playbooks, Design experimental workflows, Run experimental workflows, Showcase robotics data capabilities, Shorten time to production, Act as technical owner, Unblock integrations, Advise on data quality, Advise on data coverage, Advise on data evaluation, Collaborate with Project Leads, Ensure clean handoff, Align on scope, Align on success metrics, Support data collection programs, Bring feedback into product discussions, Bring feedback into roadmap discussions, Shape Robotics & Physical AI practice, Shape Robotics & Physical AI platform, Represent Innodata at events, Contribute as thought leader, Share learnings from robotics data work", "teamCollaboration" : "Cross-functional teams; Sales; Product; Engineering; Operations", "projectManagementSkills" : [ "Manage complex projects" ], "domainKnowledge" : "Robotics; Physical AI; Humanoid systems; VLMs; VLAs; ACTs; World models; Policies; Generative AI; AI systems", "domainList" : [ "robotics", "physical-ai", "humanoid-systems", "vlms", "vlas", "acts", "world-models", "policies", "generative-ai", "ai-systems" ], "domainSpecificKnowledge" : [ "Robotics", "Physical AI", "Humanoid systems", "VLMs", "VLAs", "ACTs", "World models", "Policies", "Generative AI", "AI systems" ], "toolProficiency" : [ "Git", "JIRA" ], "communicationSkills" : "Presentation skills; Communication skills", "continuousLearning" : "Ongoing research", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Troubleshooting data issues; Troubleshooting workflow issues", "specialRequirements" : "Customer travel", "outcomesObjectives" : "Unlock real model impact; Unlock business impact", "qualificationsBasic" : "3+ years developing with Python, Experience with robotics data pipelines, Experience with perception/control stacks, Experience with teleoperation, Experience with simulation, Comfort working in Linux-based environments, Experience selling complex technical solutions", "qualificationsPreferred" : "Master's in Robotics, Master's in Mechatronics, Master's in Computer Science, Prior sales engineering experience, Prior solutions engineering experience, Prior technical partnerships experience, Familiarity with large-scale dataset design, Familiarity with evaluation frameworks, Familiarity with robotics data marketplaces", "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: The next frontier for AI is the physical world, and Innodata is building the data factory that powers Physical AI for frontier robotics and humanoid systems. As a Robotics Solutions Engineer, you will be a trusted technical partner to some of the world’s most innovative robotics and model‑building teams, combining hands‑on robotics/data engineering with a customer‑facing, pre‑sales to post-sales mindset. You will design and showcase data capture solutions, lead technical pilots, samples, and demos, and help customers turn real‑world robotics problems into concrete datasets, pipelines, and evaluation strategies that unlock real model and business impact. This is a high‑visibility role that directly influences strategic deals and long‑term partnerships. What You’ll Own: Collaborate with Innodata Client Partners to scope and deliver technical pilots and POCs, earning the “technical win” with new and existing robotics customers. Work closely with Engineering and Product to design and implement robotics data capture solutions (real‑world, lab, and simulation), including sensors/rigs, teleop/UMI flows, and egocentric capture pipelines. Collaborate directly with customers’ robotics and ML teams to understand their architectures (VLMs, VLAs, ACTs, world models, policies), define data and evaluation requirements, design execution plans, and translate them into actionable Statements of Work. Design and run customized demos, playbooks, and experimental workflows that showcase robotics data capabilities and shorten the time from idea to production pilot. Act as the technical owner of the customer experience: unblock integrations, debug data/workflow issues, and advise on best practices for data quality, coverage, and evaluation. Collaborate closely with Robotics Project Leads to ensure clean handoff from pre‑sales design to delivery, align on scope and success metrics, and support smooth execution of data collection programs. Bring structured, frontline feedback from customers back into Innodata’s product and roadmap discussions, helping shape a scalable Robotics & Physical AI data practice and platform. Represent Innodata at key industry events, conferences, and workshops, and contribute as a thought leader through talks, blog posts, and open artifacts that share learnings from our robotics data work. You’ll Thrive in This Role If You Have: Strong engineering background in Robotics, Mechatronics, Computer Science, or a related field. 3+ years of experience developing with Python and one or more additional languages commonly used in robotics/ML (e.g., C++, Java), plus comfort working in Linux‑based environments. Hands‑on experience with robotics or Physical AI systems (e.g., perception/control stacks, teleoperation, simulation, or robotics data pipelines). Desire to conduct ongoing research and be a thought leader in world models and robotics models. Excellent presentation and communication skills, with the technical credibility to work with both senior executives and front‑line engineers. Proven ability to manage complex technical projects, juggle multiple customer engagements, and operate with a strong sense of ownership and attention to detail. High comfort working cross‑functionally with Sales, Product, Engineering, and Operations in a fast‑moving environment, including some customer travel as needed. Prior experience in sales engineering, solutions engineering, or technical partnerships for data/AI/robotics products. Experience selling or supporting complex technical solutions with enterprise customers. Familiarity with large‑scale dataset design, evaluation frameworks, or robotics data marketplaces. The expected salary range for this position is $150,000 – $230,000 USD per year, 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" : "Robotics Solutions Engineer at Innodata Inc.. Skills: Robotics, Physical AI, Data engineering, AI. Collaborate with Client Partners. Scope technical pilots", "postedDate" : "2026-06-14T05:13:15.237", "createdAt" : "2026-06-14T05:13:15.237", "lastUpdated" : "2026-06-15T05:04:42.906", "ingestTimestamp" : "2026-06-14T05:13:15.237", "mongoId" : "6a2c6ace74d8ee00a090e1b2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 230000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data engineering", "Robotics data capture", "ML model building", "Data capture solutions", "Technical pilots", "Data pipelines", "Evaluation strategies", "Robotics models", "World models", "Robotics", "Physical AI", "AI", "Technical partner", "Customer-facing mindset", "Pre-sales mindset", "Post-sales mindset", "Technical projects", "Customer engagements", "Manage complex projects", "Humanoid systems", "VLMs", "VLAs", "ACTs", "Policies", "Generative AI", "AI systems", "Git", "JIRA" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 976.00995, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cd04d74d8ee00a0a2feb9", "title" : "Digital Automation Analyst", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an Entry-level Digital Automation Analyst in Omaha, United States, adjusted for the technology industry and company size." }, "location" : "United States-Nebraska-Omaha", "locations" : [ "United States-Nebraska-Omaha" ], "certifications" : [ "PL-200", "PL-600", "Power BI certification", "Fabric certification" ], "timestamp" : "2026-06-15T09:19:22.329", "fingerprint" : "e4e29840bb5c35600932409110378994cde91ce63f1dfdddda252f8348d27ee4", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=783315", "externalId" : "783315", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Low-code/no-code tools, Reporting platforms, AI agentic solutions, Copilot Studio, Power Platform, Power BI, Fabric", "professionalSkills" : [ "Solution design", "Process analysis", "Solution feasibility", "Data alignment", "Analytics alignment", "Responsible AI adoption", "Platform standards alignment" ], "hardSkillsList" : [ "Business process analysis", "Workflow analysis", "Data analysis", "Analytics analysis" ], "hardSkills" : [ { "name" : "Business process analysis", "level" : "intermediate" }, { "name" : "Workflow analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Analytics analysis", "level" : "intermediate" } ], "majorSkills" : "Low-code/no-code, AI solutions, Business analysis", "majorSkillsList" : [ "Low-code/no-code", "AI solutions", "Business analysis" ], "coreResponsibilities" : "Analyze business needs, Translate business needs into solutions, Build governed solutions, Build scalable solutions, Ensure solutions are well designed, Ensure solutions are compliant, Ensure solutions align to enterprise platform standards, Build lower complexity solutions, Build lower complexity reports", "teamCollaboration" : "Bridge business stakeholders; Bridge technical delivery teams", "domainKnowledge" : "Governed environments; Enterprise platform standards; Responsible AI", "domainList" : [ "governed-environments", "enterprise-platform-standards", "responsible-ai" ], "domainSpecificKnowledge" : [ "Governed environments", "Enterprise platform standards", "Responsible AI" ], "toolProficiency" : [ "Copilot Studio", "Power Platform", "Power BI", "Fabric" ], "communicationSkills" : "Stakeholder communication", "qualificationsBasic" : "Experience in business analysis, Experience in technical analysis, Experience in hybrid role, Analyzing solutions using low-code/no-code tools, Designing solutions using low-code/no-code tools, Analyzing solutions using reporting platforms, Designing solutions using reporting platforms, Analyzing solutions using AI agentic solutions, Designing solutions using AI agentic solutions, Translate business needs into technically feasible designs, Translate business needs into platform-aligned designs, Stakeholder communication skills, Facilitation skills, Understanding of business process analysis, Understanding of workflow, Understanding of data and analytics, Understanding of low-code/no-code platforms, Understanding of governed environments", "qualificationsPreferred" : "Familiarity with analyzing Copilot Studio, Familiarity with analyzing AI-assisted workflows, Familiarity with Power Platform licensing, Familiarity with Power Platform environment strategies, Familiarity with ALM patterns, Familiarity with release management, Familiarity with Data governance, Familiarity with information protection, Experience in mid to large enterprises, Experience in regulated enterprises, Experience in highly governed enterprises, PL-200 certification, PL-600 certification, Power BI certification, Fabric certification", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. This role serves as a bridge between business stakeholders and technical delivery teams, analyzing business needs and translating them into governed, scalable solutions built on low-code/no-code tools, reporting platforms, and AI agentic solutions. This role emphasizes process analysis, solution feasibility, data and analytics alignment, and responsible AI adoption, ensuring solutions are well designed, compliant, and aligned to enterprise platform standards. The analyst focuses on what should be built and why, not primarily on hands on development. Additionally, the analyst may build lower complexity solutions and reports. Preferred Qualifications Familiarity with analyzing Copilot Studio or AI‑assisted workflows. Familiarity with: Power Platform licensing and environment strategies ALM patterns and release management Data governance and information protection Experience in mid to large, regulated, or highly governed enterprises Relevant certifications PL‑200, PL‑600, Power BI, or Fabric certifications Required Qualifications Experience in a business analysis, technical analysis, or hybrid role. Demonstrated experience analyzing and designing solutions using low-code/no-code tools, reporting platforms, and AI agentic solutions. Ability to translate business needs into technically feasible, platform‑aligned designs. Strong stakeholder communciation and facilitation skills. Strong understanding of business process analysis and workflow design; data and analytics concepts; low-code/no-code platforms in governed environments. ", "summaryDescription" : "Digital Automation Analyst at HDR. Skills: Low-code/no-code, AI solutions, Business analysis. Analyze business needs. Translate business needs into solutions", "createdAt" : "2026-06-14T03:06:18.565", "lastUpdated" : "2026-06-15T09:19:22.329", "ingestTimestamp" : "2026-06-14T03:06:18.565", "mongoId" : "6a2cd04d74d8ee00a0a2feb9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Business process analysis", "Workflow analysis", "Data analysis", "Analytics analysis", "Low-code/no-code", "AI solutions", "Business analysis", "Solution design", "Process analysis", "Solution feasibility", "Data alignment", "Analytics alignment", "Responsible AI adoption", "Platform standards alignment", "Governed environments", "Enterprise platform standards", "Responsible AI", "PL-200", "PL-600", "Power BI certification", "Fabric certification", "Copilot Studio", "Power Platform", "Power BI", "Fabric" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 923.2643, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "id" : "6a304ff4f292fd229ceeb4c8", "title" : "Product Manager - Robotics & Automation Programming Platform", "company" : "Vention", "industry" : "Industrial Automation", "salary" : { "min" : 105000.0, "max" : 145000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Product Manager in Montreal, Canada, within the Technology industry, adjusted for a full-time, onsite role at Vention." }, "location" : "Montreal, QC, Canada", "locations" : [ "Montreal", "QC", "Canada" ], "timestamp" : "2026-06-16T06:45:28.913", "fingerprint" : "551b7de521eb513bdf14013a849cc01e38bca5c9a5716bc7910f61a7cd0881e2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Vention/744000132220949-product-manager-robotics-automation-programming-platform", "externalId" : "744000132220949", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Montreal", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.5031824,-73.5698065" } ], "locationText" : "Montreal, Quebec, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Product specification", "Business logic", "Sales enablement", "Product launch", "Product metrics", "Ticket prioritization", "Team performance", "Business QA" ], "hardSkillsList" : [ "Visual sequencing", "Code authoring", "HMI building", "Robot programming", "Deployment", "Debugging" ], "hardSkills" : [ { "name" : "Visual sequencing", "level" : "intermediate" }, { "name" : "Code authoring", "level" : "intermediate" }, { "name" : "HMI building", "level" : "intermediate" }, { "name" : "Robot programming", "level" : "intermediate" }, { "name" : "Deployment", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" } ], "majorSkills" : "Product management, Robotics, Automation, Software platform", "majorSkillsList" : [ "Product management", "Robotics", "Automation", "Software platform" ], "coreResponsibilities" : "Conduct interviews with operators, controls engineers, integrators, and, Understand application requirements, feature gaps, and manufacturing constraints, Conduct benchmarking of competing automation programming environments, Conduct analysis to inform new product specifications, Evaluate performance of existing capabilities, Scope and maintain a unified product roadmap, Prepare detailed briefs for new features, Shape platform's evolution toward AI-augmented authoring, Lead preparation for Quarterly Product Reviews, Contribute to sales enablement material, Train go-to-market teams, Work closely with marketing team for product launch, Track and communicate key product metrics, Organize and prioritize ticket backlog, Break product briefs into sequenced tickets, Prepare and host sprint kick-offs, Track and report timelines for each feature, Measure team performance, Conduct business QA on new capabilities, Work with software teams and HR to ensure, Support dev-team productivity by scheduling technical debt elimination, Allow refactoring as part of new feature development", "teamCollaboration" : "Cross-functional teams; Go-to-market teams; Software teams; Marketing team", "projectManagementSkills" : [ "Roadmap", "Backlog prioritization", "Sprint planning" ], "domainKnowledge" : "Industrial automation; Robotics programming; Low-code development; AI-assisted development; Operator interfaces; AI-native authoring", "domainList" : [ "industrial-automation", "robotics-programming", "low-code-development", "ai-assisted-development", "operator-interfaces", "ai-native-authoring" ], "domainSpecificKnowledge" : [ "Industrial automation", "Robotics programming", "Low-code development", "AI-assisted development", "Operator interfaces", "AI-native authoring" ], "documentationSkills" : "Technical requirements", "continuousLearning" : "Professional development program; In-house coaching; Management training; World-Class Speaker Series; Professional development channels; Book allocation", "innovationCreativity" : "AI-augmented authoring", "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "Bachelor's degree in engineering, computer science, robotics, or equivalent, 3+ years of experience in product management in developer tools, software platforms, robotics, industrial technologies, or another highly technical domain, Ability to bridge technical software teams and business stakeholders", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Headquartered in Montreal and Berlin, Vention helps manufacturers automate their operations in record time with the only hardware and software AI-powered platform built for the factory floor. Our technology powers over 25,000 machines across 4,000 factories across 5 continents and we have the privilege to work with a significant proportion of Fortune 500 manufacturers, from space rockets, to electrical cars, to robotics. At Vention, you’ll work alongside driven and talented people who care deeply about their craft and the impact they create. We’re a team of high achievers who grow through meaningful work, solving complex challenges, learning fast, and seeing the results of our efforts every day. We move quickly and aim high, but we do it together with care, collaboration, and respect. Our culture celebrates diverse perspectives and supports your growth through intentional development, strong leadership, and opportunities to make a real difference. As the Product Manager for Vention's Robotics & Automation Programming Platform, you will own the product roadmap for the software people use to program Vention machines and robots — from our visual, code-free authoring experience to our code-first development environment, along with the operator interfaces (HMI). This is the surface where a customer turns an idea into a running automation, and it is entering its most exciting chapter: a move toward a single, unified, AI-native authoring experience that meets non-technical users and expert developers on the same platform. In this role, you will interface with customers, integrators, and internal stakeholders to capture emerging needs, drive the software development teams building these products, and support sales and marketing for successful product launches. Leveraging your product management expertise and understanding of industrial automation, you will be uniquely positioned to guide product direction and drive effective prioritization of our effort and resources. More specifically, your role will include the following responsibilities: Product management * Conduct interviews with operators, controls engineers, integrators, and Vention's own commissioning team to understand application requirements, feature gaps, and real-world manufacturing constraints * Conduct benchmarking of competing automation programming environments, low-code/visual tools, and AI-assisted development experiences * Conduct analysis to inform new product specifications and evaluate the performance of existing capabilities (visual sequencing, code authoring, HMI building, robot programming, deployment, and debugging) * Scope and maintain a unified product roadmap spanning all authoring surfaces, the operator interface layer, and supporting tooling * Prepare detailed briefs for new features and capabilities, including technical requirements and business logic * Help shape the platform's evolution toward AI-augmented authoring and a more unified developer experience, balancing near-term customer value against the longer-term platform direction * Lead preparation for Quarterly Product Reviews * Contribute to sales enablement material and train go-to-market teams (Account Executives, Application Engineers, Customer Success, etc.) * Work closely with the marketing team to provide input for product launch campaigns * Track and communicate key product metrics including feature adoption, time-to-deploy an application, program reliability, support ticket volume, and user satisfaction across personas Product ownership * Organize and prioritize the ticket backlog across the visual editor, code editor, HMI, and supporting product workstreams * Break product briefs for new capabilities down into sequenced tickets for efficient execution * Prepare and host sprint kick-offs, ensuring the software teams support the scope and can successfully define the \"how\" * Track and report timelines for each feature/product and measure team performance - Conduct business QA on new capabilities to ensure the user experience elevates the Vention platform * Work with the software teams and HR to ensure teams are properly staffed with the expertise required to deliver the annual roadmap * Support dev-team productivity by scheduling periods of technical debt / bug elimination (or allowing some refactoring as part of new feature development) ## Qualifications * Bachelor's degree in engineering, computer science, robotics, or equivalent * 3+ years of experience in product management in the context of developer tools, software platforms, robotics, industrial technologies, or another highly technical domain * Ability to bridge technical software teams and business stakeholders, translating complex technical concepts into clear product requirements * Strong analytical tool kit with the ability to analyze datasets and product usage data - Excellent internal/external stakeholder management skills * Strong bias for speed and execution * Strong project management and risk mitigation mindset, with demonstrated ability to build contingency plans and execute them * Ability to work in a fast-paced environment with quick turnarounds and good time managements Nice to have * Experience with developer tools, IDEs, low-code/no-code platforms, or AI-assisted authoring products * Familiarity with industrial automation applications (e.g., machine tending, palletizing, assembly, kitting) * Hands-on experience with robot arm programming, motion planning, PLC/controls, or HMI design * Knowledge of Python programming * Experience bringing software products from concept to production at scale * Exposure to AI/agentic product experiences and an interest in where they intersect with industrial automation ## Additional Information What We Offer * Career pathing: Real opportunities to grow through personalized development plans, bi-annual employee reviews, and mentorship program * Professional development: Continuous training in performance management, inclusive leadership, leadership operating model, team building, and giving/receiving feedback * Gender diversity & inclusion: Pay equity reviews, inclusive policies, and a Women’s Employee Resource Group offering networking, mentorship, and quarterly learning sessions. * Hybrid work: Enjoy flexibility with our hybrid model, allowing you to work from home on select days. * Community engagement: Two paid volunteering days per year to give back to causes you care about. * Central location: Regular team gatherings and a collaborative office space in the heart of Montreal, surrounded by cafés and restaurants. * Team events: All year round employee events including annual kick-off, employee summit, quarterly happy hours, and department events. * Comprehensive benefits: A complete group benefits plan for you and your family that start day one. * Top-up and benefits for new parents: Additional financial support and resources to support employees during their transition to parenthood. What to Expect in Your Interview * Initial Call * Meet the Team * Case or take-home interview * Decision & Offer We’re committed to making every step of the process inclusive and accessible. If you require accommodations at any stage, please let us know, we’ll ensure you have what you need to succeed. Professional Growth & Development Vention believes strongly in promotion from within. For this reason, we structured a comprehensive professional development program that elevate high-performing individuals who deeply understand the inner workings of Vention. This program encompasses: * In-house coaching program with former industry executives working with small cohort of emerging leaders * Quarterly management training on topics ranging from “Giving & Receiving Feedback, to Building high-performing teams, to \"Developing your own Leadership model” * Quarterly World-Class Speaker Series featuring industry leaders sharing their perspective and lessons learned as they build their function and business * Dedicated professional development channels sponsored by the Executive team to foster continuous professional learning * Book allocation program to further your knowledge in your domain of expertise or any business leadership topics Diversity, Inclusion & Belonging at Vention When you join Vention, you join a team of professionals with diverse experiences, backgrounds, and perspectives. Together, we’re building a workplace where everyone belongs, feels valued, and can achieve extraordinary results. We celebrate differences in ideas, in experiences, and in people. Our initiatives in gender equity, career growth, and leadership development are designed to create real opportunities for everyone to thrive. Vention’s culture Vention is an uplifting environment for high achievers. Thinking that Vention’s culture would keep you energized? See our full culture guide [here](https://assets.vention.io/downloads/pdf/CULTUREBOOKV2.pdf?gl=17683jbgclawR0NMLjE3NjI4MDAwNTguQ2p3S0NBaUF0OGJJQmhCcEVpd0F6SDF3NlJqQ2tmaXk1Z19qZkFVWU4wdHg5Y1lEbU9JUFJvdGx3SFpRQXhnaHpNMnZEblcteVkzM1Rob0MxWmdRQXZEX0J3RQ..gcl_au*MTI3OTkxMzM2NS4xNzYxNTgyNzUy).", "summaryDescription" : "Product Manager - Robotics & Automation Programming Platform at Vention. Skills: Product management, Robotics, Automation, Software platform. Conduct interviews with operators, controls engineers, integrators, and. Understand application requirements, feature gaps, and manufacturing constraints", "postedDate" : "2026-06-15T14:37:36.000", "createdAt" : "2026-06-15T21:40:11.912", "lastUpdated" : "2026-06-16T06:45:28.913", "ingestTimestamp" : "2026-06-15T21:40:11.912", "mongoId" : "6a304ff4f292fd229ceeb4c8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Visual sequencing", "Code authoring", "HMI building", "Robot programming", "Deployment", "Debugging", "Product management", "Robotics", "Automation", "Software platform", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Product specification", "Business logic", "Sales enablement", "Product launch", "Product metrics", "Ticket prioritization", "Team performance", "Business QA", "Roadmap", "Backlog prioritization", "Sprint planning", "Industrial automation", "Robotics programming", "Low-code development", "AI-assisted development", "Operator interfaces", "AI-native authoring" ], "skillCount" : 31, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 889.57196, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a16291b58b93c861e959d52", "title" : "Digital Automation Analyst", "company" : "HDR", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Digital Automation Analyst in Omaha, United States, adjusted for company size and industry." }, "location" : "United States-Nebraska-Omaha", "locations" : [ "United States-Nebraska-Omaha" ], "timestamp" : "2026-06-16T06:05:55.081", "fingerprint" : "8ee9a6a7f337f069b2b3b8e77b802bc1d9f50af963df22b5a162795b9c5fffd5", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=783315", "externalId" : "783315", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Nebraska-Omaha", "summaryDescription" : "Digital Automation Analyst at HDR", "createdAt" : "2026-06-14T18:55:26.413", "lastUpdated" : "2026-06-16T06:05:55.081", "ingestTimestamp" : "2026-06-14T18:55:26.413", "mongoId" : "6a16291b58b93c861e959d52", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "_score" : 885.0129, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.85 }, { "id" : "6a30655af292fd229cfa72d3", "title" : "Robotics Data Quality Engineer", "company" : "xdof", "industry" : "Robotics", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Robotics Data Quality Engineer in San Mateo, United States, adjusted for the technology industry and company size." }, "location" : "San Mateo Hybrid", "locations" : [ "San Mateo Hybrid" ], "timestamp" : "2026-06-16T12:38:38.818", "fingerprint" : "71689cf59637a0353ba554dfc62238b9f3574f3a5077e7b3c41472a315f0d917", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/xdof/73ac48fd-1c6d-4ff5-b16e-87c9f6ec382d/application", "externalId" : "73ac48fd-1c6d-4ff5-b16e-87c9f6ec382d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Mateo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.4969040,-122.3330573" } ], "locationText" : "San Mateo, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, Numpy, Pandas, Matplotlib, Plotly, Protobuf, HDF5, ROS bags", "professionalSkills" : [ "Data validation", "Data visualization", "Schema design", "Data formats", "Root cause analysis" ], "hardSkillsList" : [ "Spatial transformations", "Time-series analysis", "Signal processing" ], "hardSkills" : [ { "name" : "Spatial transformations", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "Signal processing", "level" : "intermediate" } ], "majorSkills" : "Data quality, Robotics data, Data validation, Data pipelines", "majorSkillsList" : [ "Data quality", "Robotics data", "Data validation", "Data pipelines" ], "coreResponsibilities" : "Analyze robotics data, Identify quality issues, Plot joint velocities, Validate camera poses, Check gripper encoder accuracy, Flag anomalous collection sessions, Build automated validation pipelines, Design data formats, Document data formats, Design schemas, Document schemas, Ensure consistency, Ensure versioning, Build data visualization tools, Build dashboards, Validate cross-modal temporal alignment, Synchronize timestamps, Detect dropped frames, Detect clock drift, Define quality metrics, Define quality thresholds, Track data quality improvement, Track data quality degradation, Catalog edge cases, Catalog failure modes, Trace quality issues, Identify root cause", "teamCollaboration" : "Work with partners; Work with internal researchers; Work with data collection operators", "domainKnowledge" : "Robotics; 3D geometry; Coordinate frames; Spatial transformations; Physical systems; Teleoperation systems; Motion capture; Egocentric data collection; Signal processing; Sensor fusion; Time-series analysis; Data versioning; Schema migration; 0->1 environments", "domainList" : [ "robotics", "3d-geometry", "coordinate-frames", "spatial-transformations", "physical-systems", "teleoperation-systems", "motion-capture", "egocentric-data-collection", "signal-processing", "sensor-fusion", "time-series-analysis", "data-versioning", "schema-migration", "0-1-environments" ], "domainSpecificKnowledge" : [ "Robotics", "3D geometry", "Coordinate frames", "Spatial transformations", "Physical systems", "Teleoperation systems", "Motion capture", "Egocentric data collection", "Signal processing", "Sensor fusion", "Time-series analysis", "Data versioning", "Schema migration", "0->1 environments" ], "documentationSkills" : "Document data formats; Document schemas", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Bachelor's or Master's degree, Python data skills, Comfort working with large datasets, Solid understanding of 3D geometry, Solid understanding of coordinate frames, Solid understanding of spatial transformations, Intuition for physical systems", "qualificationsPreferred" : "Hands-on experience with robotics data, Experience with teleoperation systems, Experience with motion capture, Experience with egocentric data collection, Experience with signal processing, Experience with sensor fusion, Experience with time-series analysis, Built internal data visualization tools, Worked on data versioning, Worked on data lineage tracking, Worked on schema migration, Comfortable working in 0->1 environments, Mission-driven, Passionate about robotics", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At xdof, we’re at an inflection point. Frontier labs are racing to build general-purpose robots, and high-quality training data is the bottleneck. We’re building the foundation behind the foundation models – the data collection systems, operational capability, exabyte-scale data warehouse, and software toolchain – to help our partners drive the field forward. The models are only as good as the data. We’re looking for a Robotics Data Quality Engineer to be the person who knows whether our data is trustworthy, across every modality we collect. You’ll analyze, validate, and build tooling around data from teleoperation on real hardware, egocentric capture, UMI-style grippers, and more. If something is wrong with the data, you’re the first to catch it and the one who helps us fix the process. What You’ll Do Data quality engineers are the bridge between raw collection and usable training data. Sample projects include: - analyzing robotics data across modalities to identify quality issues: plotting joint velocities, validating camera poses, checking gripper encoder accuracy, and flagging anomalous collection sessions - building automated validation pipelines that run on ingestion and catch problems before data enters the warehouse - designing and documenting data formats and schemas across collection modalities, ensuring they are consistent, versioned, and well-understood by partners and internal researchers - building data visualization tools and dashboards so the broader team can inspect and understand the data without writing custom scripts - validating cross-modal temporal alignment, including timestamp synchronization, dropped frame detection, and clock drift across camera, joint, and gripper streams - defining quality metrics and thresholds per modality and tracking whether data quality is improving or degrading as collection scales - cataloging edge cases and failure modes into a shared taxonomy so the team has a common language for data issues - working closely with data collection operators to trace quality issues back to their root cause, whether systemic (hardware calibration, sensor drift) or operator-specific About You Baseline skills: - bachelor’s or master’s degree (or equivalent experience) in robotics, computer science, mechanical engineering, or a related field - strong Python data skills (numpy, pandas, matplotlib or plotly) and comfort working with large, messy datasets - solid understanding of 3D geometry, coordinate frames, and spatial transformations - intuition for physical systems: you can look at a trajectory or a joint velocity plot and tell when something is off - experience designing or working with structured data formats (protobuf, HDF5, ROS bags, or similar) You might be a good fit if you: - have hands-on experience with robotics data, whether from a research lab, a robotics startup, or a manipulation/locomotion project - have worked with teleoperation systems, motion capture, or egocentric data collection - have experience with signal processing, sensor fusion, or time-series analysis - have built internal data visualization tools or dashboards for technical teams - have worked on data versioning, lineage tracking, or schema migration in a production setting - are very comfortable working in 0→1 environments - are mission-driven and passionate about robotics: work at xdof is fast-paced and constant. We hope you love what you’re going to be doing, because you’ll be doing a lot of it!", "summaryDescription" : "Robotics Data Quality Engineer at xdof. Skills: Data quality, Robotics data, Data validation, Data pipelines. Analyze robotics data. Identify quality issues", "createdAt" : "2026-06-16T00:28:18.617", "lastUpdated" : "2026-06-16T12:38:38.818", "ingestTimestamp" : "2026-06-16T00:28:18.617", "mongoId" : "6a30655af292fd229cfa72d3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Spatial transformations", "Time-series analysis", "Signal processing", "Data quality", "Robotics data", "Data validation", "Data pipelines", "Data visualization", "Schema design", "Data formats", "Root cause analysis", "Robotics", "3D geometry", "Coordinate frames", "Physical systems", "Teleoperation systems", "Motion capture", "Egocentric data collection", "Sensor fusion", "Data versioning", "Schema migration", "0->1 environments" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 882.36694, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cd04d74d8ee00a0a2feba", "title" : "Digital Automation Analyst 2", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 70000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Digital Automation Analyst in Omaha, adjusted for industry and company size." }, "location" : "United States-Nebraska-Omaha", "locations" : [ "United States-Nebraska-Omaha" ], "certifications" : [ "PL-200", "PL-600", "Power BI certification", "Fabric certification" ], "timestamp" : "2026-06-15T10:10:22.738", "fingerprint" : "9fb50fb2aae962452c4c13b5545118b684218b92ed13e771b06a87c067d07684", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=783333", "externalId" : "783333", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "technicalSkills" : "Low-code, No-code, Reporting platforms, AI agentic solutions, Power Platform, Power BI, Fabric", "professionalSkills" : [ "Solution design", "Process analysis", "Data alignment", "Analytics alignment", "Responsible AI adoption", "Platform standards" ], "hardSkillsList" : [ "Business process analysis", "Workflow analysis", "Data analysis", "Analytics analysis" ], "hardSkills" : [ { "name" : "Business process analysis", "level" : "intermediate" }, { "name" : "Workflow analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Analytics analysis", "level" : "intermediate" } ], "majorSkills" : "Low-code/no-code, AI agentic solutions, Reporting platforms", "majorSkillsList" : [ "Low-code/no-code", "AI agentic solutions", "Reporting platforms" ], "coreResponsibilities" : "Analyze business needs, Translate needs into solutions, Ensure solutions are well designed, Ensure solutions are compliant, Ensure solutions align to standards, Build lower complexity solutions, Build lower complexity reports", "teamCollaboration" : "Business stakeholders; Technical delivery teams", "domainKnowledge" : "Governed environments; Enterprise platform standards; Regulated enterprises; Highly governed enterprises", "domainList" : [ "governed-environments", "enterprise-platform-standards", "regulated-enterprises", "highly-governed-enterprises" ], "domainSpecificKnowledge" : [ "Governed environments", "Enterprise platform standards", "Regulated enterprises", "Highly governed enterprises" ], "toolProficiency" : [ "Copilot Studio" ], "communicationSkills" : "Stakeholder communication; Facilitation", "qualificationsBasic" : "Minimum 3 years of experience, Demonstrated experience analyzing and designing solutions, Ability to translate business needs, Stakeholder communication and facilitation skills, Understanding of business process analysis, Understanding of workflow data and analytics, Understanding of low-code/no-code platforms", "qualificationsPreferred" : "Experience analyzing Copilot Studio, Experience analyzing AI-assisted workflows, Familiarity with Power Platform licensing, Familiarity with environment strategies, Familiarity with ALM patterns, Familiarity with release management, Familiarity with Data governance, Familiarity with information protection, Experience in mid to large enterprises, Experience in regulated enterprises, Experience in highly governed enterprises, PL-200 certification, PL-600 certification, Power BI certification, Fabric certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. This role serves as a strategic bridge between business stakeholders and technical delivery teams, analyzing business needs and translating them into governed, scalable solutions built on low-code/no-code tools, reporting platforms, and AI agentic solutions. This role emphasizes process analysis, solution feasibility, data and analytics alignment, and responsible AI adoption, ensuring solutions are well designed, compliant, and aligned to enterprise platform standards. The analyst focuses on what should be built and why, not primarily on hands on development. Additionally, the analyst may build lower complexity solutions and reports. Preferred Qualifications Experience analyzing Copilot Studio or AI‑assisted workflows. Familiarity with: Power Platform licensing and environment strategies ALM patterns and release management Data governance and information protection Experience in mid to large, regulated, or highly governed enterprises Relevant certifications PL‑200, PL‑600, Power BI, or Fabric certifications Required Qualifications Minimum 3 years of experience in a business analyst, technical analyst, or hybrid role. Demonstrated experience analyzing and designing solutions using low-code/no-code tools, reporting platforms, and AI agentic solutions. Ability to translate business needs into technically feasible, platform‑aligned designs. Strong stakeholder communication and facilitation skills. Strong understanding of business process analysis and workflow design; data and analytics concepts; low-code/no-code platforms in governed environments. ", "summaryDescription" : "Digital Automation Analyst 2 at HDR. Skills: Low-code/no-code, AI agentic solutions, Reporting platforms. Analyze business needs. Translate needs into solutions", "createdAt" : "2026-06-14T08:53:38.529", "lastUpdated" : "2026-06-15T10:10:22.738", "ingestTimestamp" : "2026-06-14T08:53:38.529", "mongoId" : "6a2cd04d74d8ee00a0a2feba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 70000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Business process analysis", "Workflow analysis", "Data analysis", "Analytics analysis", "Low-code/no-code", "AI agentic solutions", "Reporting platforms", "Solution design", "Process analysis", "Data alignment", "Analytics alignment", "Responsible AI adoption", "Platform standards", "Governed environments", "Enterprise platform standards", "Regulated enterprises", "Highly governed enterprises", "PL-200", "PL-600", "Power BI certification", "Fabric certification", "Copilot Studio" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 863.2677, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "id" : "6a191e7758b93c861e39f763", "title" : "Internship in Data Management and Digitalization (International Student)", "company" : "Mercedes-Benz U. S. International, Inc.", "industry" : "Manufacturing", "salary" : { "min" : 18.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States of America-Alabama -Vance", "locations" : [ "United States of America-Alabama -Vance", "1 Mercedes-Drive, , Vance" ], "timestamp" : "2026-06-15T08:27:50.483", "fingerprint" : "b13862921160638af5e9058e72680afa545dfeb62995d8828e1a56f108491786", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=891652", "externalId" : "891652", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vance", "state" : "Alabama", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.1742847,-87.2336092" } ], "locationText" : "Vance, Alabama, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, SQL, Excel, Power BI, PowerApps, Automation tools, AI/ML concepts, Data visualization concepts", "professionalSkills" : [ "Supplier performance", "Automation projects", "Analytics projects", "Data analysis", "Digital tools" ], "hardSkillsList" : [ "Data management", "Digitalization" ], "hardSkills" : [ { "name" : "Data management", "level" : "intermediate" }, { "name" : "Digitalization", "level" : "intermediate" } ], "majorSkills" : "Data Management, Digitalization, Analytics", "majorSkillsList" : [ "Data Management", "Digitalization", "Analytics" ], "coreResponsibilities" : "Contribute to building scalable digital tools, Enhance supplier performance, Enhance procurement, Support automation projects, Support analytics projects, Collaborate with capacity teams, Collaborate with quality teams, Collaborate with procurement teams, Engage in tech-forward environment, Participate in agile digital initiatives, Drive impact across supply base, Help collect supplier data, Organize supplier data, Build basic dashboards, Track supplier performance, Participate in meetings, Organize supplier data, Clean supplier data, Test new digital tools, Develop new digital tools, Give feedback on tools, Create simple reports, Create simple slides, Learn new tech tools, Learn new platforms, Take notes, Follow up on action items, Coordinate team events", "teamCollaboration" : "Capacity teams; Quality teams; Procurement teams; Cross-location analysis; Diverse environments", "projectManagementSkills" : [ "Agile digital initiatives" ], "domainKnowledge" : "Supplier performance; Procurement", "domainList" : [ "supplier-performance", "procurement" ], "domainSpecificKnowledge" : [ "Supplier performance", "Procurement" ], "toolProficiency" : [ "Power BI", "PowerApps", "Outlook", "Teams", "SharePoint", "PowerPoint" ], "continuousLearning" : "Learn new tech tools; Learn new platforms", "innovationCreativity" : "Innovation; Continuous improvement", "problemSolvingSkills" : "Problem-solving", "outcomesObjectives" : "Enhance supplier performance; Enhance procurement; Drive impact across supply base", "qualificationsBasic" : "Bachelor's degree in Engineering or related area, Basic Python, Basic SQL, Basic Excel, Minimum 3 semesters of studies, Available for minimum 6 months", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Mercedes-Benz: Building Exceptional Vehicles… and Careers! The best chapters in Alabama’s automotive success story are yet to come. The Mercedes-Benz automobile of the future will be different; greener, more efficient, safer, and even more fascinating. Only one thing will never change – It will wear a star. The vehicles we manufacture are the finished results of our skilled workforce, and we're hiring even more. We are looking for Specialists and Team Members to join us in crafting a wide variety of vehicles from the Mercedes-Maybach GLS SUV to our all-electric electric vehicle, the EQS SUV and EQE SUV. Our Tuscaloosa County site is home to the production of Mercedes’ luxury SUV models, including electric vehicles. Just down the road in Bibb County, MBUSI has launched the production of high-performance lithium-ion batteries. Our two campuses are among the most advanced automotive manufacturing facilities in the world, with over 6 million square feet combined. MBUSI offers an excellent total rewards package including competitive compensation, health and life insurance, 401(k) matching program and defined contribution retirement plan, annual bonuses, tuition assistance, and paid holidays. Further on-site MBUSI resources such as childcare, medical center and fitness center are available for all to utilize. Our Team Members share a common goal to be the best luxury auto manufacturer in North America. MBUSI is committed to excellence and actively promotes positive team culture, teamwork, safety, quality, and continuous improvement. Mercedes-Benz, U.S. International, Inc. takes pride in being an Equal Employment Opportunities workplace. Mercedes-Benz U.S. International, Inc. is committed to equal opportunity regardless of race, age, ethnic origin, and any other characteristics classified under applicable Local and Federal laws. All qualified candidates are encouraged to apply for the opportunity to join us in electrifying the future! Essential Functions: Contribute to building scalable digital tools that enhance supplier performance and procurement Support automation and analytics projects using modern platforms like Power BI, PowerApps, and Python Collaborate with capacity, quality, and procurement teams across MP sites in Mexico and the U.S. Engage in a fast-paced, tech-forward environment focused on innovation and continuous improvement Participate in agile digital initiatives that drive real impact across supply base in North America Help collect and organize supplier data for cross-location analysis Other regular Tasks: Build basic dashboards to track supplier performance Actively participate in daily, weekly and monthly meetings Organize and clean supplier data Test and develop new digital tools and give feedback Create simple reports or slides for updates Learn new tech tools and platforms Take notes and follow up on action items Coordinate team events QUALIFICATIONS: Education, Experience and Necessary Skills all must be met in order to qualify for position. Education : Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Computer Science, Software Engineering or in a related area, and/or the equivalent combination of education and experience. Necessary Skills, Certifications, etc .: Basic Python, SQL, and Excel for data tasks Basic knowledge of Power BI, PowerApps, and automation tools Familiar with Outlook, Teams, SharePoint, and PowerPoint Awareness of AI/ML and data visualization concepts Teamwork in diverse environments Strong interest in learning and problem-solving Preferred Start Date: July/August 2026 Benefits: Paid Internship - hourly rate $18 Coverage of visa costs $700 monthly housing stipend Requirements: Currently enrolled in University or in a gap year between Bachelor's and Master’s degree Studies outside of the U.S.A A minimum of 3 semesters of studies in relevant field of study Available for a minimum of 6 months How to apply: To complete your application and be considered for an internship at MBUSI, you must attach all of the following documents: Cover letter including starting availability Detailed CV/Resume Transcript of records University High School Diploma Working references Certificate of enrollment Thank you for your interest in Mercedes-Benz U.S. International. Please be aware that it takes time to review applications and make a final decision. We appreciate your patience during this time. Mercedes-Benz U.S. International, Inc.", "summaryDescription" : "Internship in Data Management and Digitalization (International Student) at Mercedes-Benz U. S. International, Inc.. Skills: Data Management, Digitalization, Analytics. Contribute to building scalable digital tools. Enhance supplier performance", "createdAt" : "2026-06-14T02:01:00.701", "lastUpdated" : "2026-06-15T08:27:50.483", "ingestTimestamp" : "2026-06-14T02:01:00.701", "mongoId" : "6a191e7758b93c861e39f763", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data management", "Digitalization", "Data Management", "Analytics", "Supplier performance", "Automation projects", "Analytics projects", "Data analysis", "Digital tools", "Agile digital initiatives", "Procurement", "Power BI", "PowerApps", "Outlook", "Teams", "SharePoint", "PowerPoint" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 833.7695, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6a6274d8ee00a090b968", "title" : "Digital Solutions Analyst", "company" : "Entrega", "industry" : "Consulting", "salary" : { "min" : 78500.0, "max" : 105500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Digital Solutions Analyst in Michigan, United States, with 3-5 years of experience, adjusted for the technology industry and onsite work mode." }, "location" : "Michigan", "locations" : [ "Michigan" ], "timestamp" : "2026-06-15T08:58:43.547", "fingerprint" : "1613599ba220be66772ca28b593babe82408681ac24c0b82581824a4d642ad43", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/entrega/jobs/5249979008", "externalId" : "5249979008", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Michigan", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Michigan, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "professionalSkills" : [ "Solutions-oriented mindset", "Stakeholder elicitation", "Solution research", "Solution ideation", "Solution hand-off" ], "hardSkillsList" : [ "Process flows", "User stories", "Use cases" ], "hardSkills" : [ { "name" : "Process flows", "level" : "intermediate" }, { "name" : "User stories", "level" : "intermediate" }, { "name" : "Use cases", "level" : "intermediate" } ], "majorSkills" : "Digital processes, Data-driven solutions, Business objectives, Technological capabilities", "majorSkillsList" : [ "Digital processes", "Data-driven solutions", "Business objectives", "Technological capabilities" ], "coreResponsibilities" : "Support scope definition, Support requirements definition, Elicit stakeholder requirements, Create project artifacts, Develop process flows, Document process flows, Maintain process flows, Develop user stories, Document user stories, Maintain user stories, Develop use cases, Document use cases, Maintain use cases, Support solution research, Isolate key objectives, Identify potential solutions, Support solution ideation, Identify abstract concepts, Materialize abstract concepts, Support solution hand-off, Present solution recommendations, Perform other tasks", "teamCollaboration" : "Liaison between stakeholders; Liaison between technical teams; Work with business teams; Work with IT teams", "projectManagementSkills" : [ "Basic project management" ], "domainKnowledge" : "Enterprise solutions; Technology-enabled solutions; Digital solutions", "domainList" : [ "enterprise-solutions", "technology-enabled-solutions", "digital-solutions" ], "domainSpecificKnowledge" : [ "Enterprise solutions", "Technology-enabled solutions", "Digital solutions" ], "communicationSkills" : "Excellent communication skills; Outstanding writing skills; Present to clients; Present to stakeholders", "documentationSkills" : "Documenting requirements; Documenting process flows; Documenting user stories; Documenting use cases", "continuousLearning" : "Passion for learning; Personal growth", "problemSolvingSkills" : "Demonstrated ability to solve problems; Formulate recommendations; Analytical-thinking skills", "outcomesObjectives" : "Enhance organizational efficiency; Deliver measurable business value; Elevate client experience; Create effective outcomes", "qualificationsBasic" : "Ability to work independently, Manage multiple tasks, Work under pressure, Solve problems, Formulate recommendations, Possess organizational skills, Prioritization skills, Ability to work with business teams, Ability to work with IT teams, Ability to present to clients, Ability to present to stakeholders", "qualificationsPreferred" : "Master's degree preferred, Experience in technology services environment, Experience in digital services environment, Experience in professional services environment", "rawDescription" : "View All Jobs About Entrega Entrega is a Michigan-headquartered technology professional services firm delivering enterprise solutions to global clients. We design, develop, and operationalize technology-enabled solutions through a high-performance services model built to elevate client experience and deliver measurable business value. Our work spans technology, digital, and business solutions delivery. We operate using a structured service delivery model designed to balance client relationships, delivery accountability, project execution, and production capacity management. Strong leadership across these areas is essential to delivering consistently high outcomes for our clients. Job Position Summary: The Digital Solutions Analyst serves a pivotal role in enhancing organizational efficiency by analyzing digital processes, identifying areas for improvement, and implementing data-driven solutions. Serving as a liaison between stakeholders and technical teams, DSAs ensure that business objectives align with technological capabilities. The role requires a solutions-oriented mindset, understanding of digital technologies, basic project management skills, and a commitment to client success. Responsibilities and Duties: Scope and Requirements Definition - Supports the definition of scope and requirements, related to business objectives through stakeholder elicitation. Requirement Artifacts - Responsible for creating project artifacts through developing, documenting, and maintaining process flows, user stories, use cases, etc. Solution Research - Supports solution research by isolating key objectives and identifying potential solutions. Solution Ideation - Supports solution ideation by identifying and materializing abstract concepts into concrete technology-based solutions. Solution Hand-Off - Responsible for the solution hand-off by presenting solution recommendations to clients and internal teams. Additional Responsibilities - Perform other tasks and duties as required by team leaders to support and contribute to the overall success of the organization. Qualifications: Ability to work independently as well as in a team environment. Capable of managing multiple tasks and projects simultaneously. Comfortability working under pressure or strict deadlines. Demonstrated ability to solve problems and formulate recommendations. Excellent communication skills. Exceptional attention to detail. Outstanding writing and analytical-thinking skills. Passion for learning and personal growth, specifically when it comes to technology. Possess organizational and prioritization skills. Self-starter with a high degree of integrity and professionalism. Education and Experience: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field preferred. 3-5 years of experience contributing to projects and programs for multiple clients in technology, digital or professional services environment. Ability to work with both business and IT teams to offer and deliver solutions that create effective outcomes. Strong commitment to client experience, service delivery and quality. Ability to present to clients and stakeholders. Compensation & Benefits This role offers a competitive base salary aligned to experience and scope. Where applicable, employees may be eligible to participate in performance-based incentive programs aligned to organizational and individual results. We offer a comprehensive benefits package including medical, dental, and vision coverage, 401(k), paid time off, and additional benefits designed to support our employees’ well-being. Equal Employment Opportunity Entrega is an Equal Opportunity Employer. Entrega does not discriminate in employment opportunities or practices because of race, any trait historically associated with race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, marital status, veteran status, height, weight, disability, genetic information or any other characteristic protected under state or federal law.", "summaryDescription" : "Digital Solutions Analyst at Entrega. Skills: Digital processes, Data-driven solutions, Business objectives, Technological capabilities. Support scope definition. Support requirements definition", "postedDate" : "2026-06-14T01:41:43.487", "createdAt" : "2026-06-14T01:41:43.487", "lastUpdated" : "2026-06-15T08:58:43.547", "ingestTimestamp" : "2026-06-14T01:41:43.487", "mongoId" : "6a2c6a6274d8ee00a090b968", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 78500, "salaryAnnualMax" : 105500, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Process flows", "User stories", "Use cases", "Digital processes", "Data-driven solutions", "Business objectives", "Technological capabilities", "Solutions-oriented mindset", "Stakeholder elicitation", "Solution research", "Solution ideation", "Solution hand-off", "Basic project management", "Enterprise solutions", "Technology-enabled solutions", "Digital solutions" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 833.273, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "id" : "69fc49a74c40e2acd1a8342a", "title" : "Manager, Digital Solutions", "company" : "Hyundai Capital Canada", "industry" : "FinTech", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Digital Solutions in Toronto, Canada, adjusted for the FinTech industry and company size." }, "location" : "Canada-Ontario-Toronto", "locations" : [ "Canada-Ontario-Toronto", "
CAN - Toronto (HCCA)
123 Front Street West, 10th Floor
10th Floor
Toronto, M5J 2M3

" ], "certifications" : [ "Salesforce certifications" ], "timestamp" : "2026-06-16T03:30:10.050", "fingerprint" : "1b830a7d14476253e1e997ad4a09929f980f05806256b6812592902d29db415b", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=113243", "externalId" : "113243", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Salesforce, Apex, LWC, Flows, SOQL, SOSL, API, Git", "professionalSkills" : [ "System design", "SDLC", "Agile methodologies" ], "hardSkillsList" : [ "Salesforce development", "Integration development", "Release management", "Business analysis" ], "hardSkills" : [ { "name" : "Salesforce development", "level" : "intermediate" }, { "name" : "Integration development", "level" : "intermediate" }, { "name" : "Release management", "level" : "intermediate" }, { "name" : "Business analysis", "level" : "intermediate" } ], "majorSkills" : "Salesforce, CRM, Service Cloud, Experience Cloud", "majorSkillsList" : [ "Salesforce", "CRM", "Service Cloud", "Experience Cloud" ], "coreResponsibilities" : "Develop Salesforce solutions, Configure Salesforce solutions, Enhance Salesforce solutions, Support Salesforce platforms, Build custom components, Build Apex classes, Build Lightning Web Components, Build integrations, Build security models, Perform unit testing, Investigate defects, Resolve defects, Troubleshoot production issues, Monitor platform performance, Create technical documentation, Maintain technical documentation, Assist deployments, Perform deployments", "teamCollaboration" : "Development team; Architects; Business Managers", "projectManagementSkills" : [ "Agile", "SDLC" ], "domainKnowledge" : "Automotive finance; Consumer finance", "domainList" : [ "automotive-finance", "consumer-finance" ], "domainSpecificKnowledge" : [ "Automotive finance", "Consumer finance" ], "toolProficiency" : [ "JIRA" ], "communicationSkills" : "Explain technical concepts", "documentationSkills" : "Technical documentation; Data dictionaries; Architectural diagrams; Configuration guides; Integration documentation", "problemSolvingSkills" : "Problem-solving; Analytical skills; Root cause analysis", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : ". Who We Are: Hyundai Capital Canada (HCCA) is the Canadian captive finance business for Hyundai Motor Group. We operate under the service brands Hyundai Motor Finance, Kia Motors Finance, and Genesis Finance. Through a network of over 450 Hyundai and Kia dealerships across Canada, we provide indirect vehicle financing and leasing solutions to consumers and commercial customers. Employee Value Prop and Culture: We foster a fast-paced, dynamic, agile, energized, and collaborative culture. Our employee programs and office design aim to create a connected, fun, positive, and rewarding environment where employees feel appreciated, proud of the company, and invested in HCCA’s success. Global One Company: Hyundai Capital operates globally with offices in South Korea, the United States, China, the United Kingdom, Germany, and Brazil. Our workplaces follow consistent themes that reflect our values: simplicity, collaboration, nature-inspired design, and symmetry. Position Details: The Manager, Digital Solutions is responsible for developing, configuring, enhancing, and supporting Hyundai Capital Canada’s Salesforce-based digital platforms. Working as part of a small development team and collaborating closely with Architects and Business Managers, this role focuses on maintaining, improving, and expanding the digital solutions that power HCCA’s Customer and Dealer Portals. Roles and Responsibilities: Develop, configure, and enhance Salesforce solutions across CRM, Service Cloud, and Experience Cloud, including building custom components, flows, Apex classes, Lightning Web Components (LWCs), integrations, and security models. Perform unit testing for all Salesforce configurations, customizations, and integrations. Investigate and resolve defects identified during QA and UAT. Troubleshoot and resolve production issues by reviewing logs, monitoring platform performance, and working with end users and business analysts to identify root causes. Create and maintain technical documentation, including data dictionaries, architectural diagrams, configuration guides, and integration documentation. Assist and perform deployments. Perform all other duties as assigned. 5+ years of hands-on experience developing and enhancing Salesforce solutions. Strong experience configuring and customizing Salesforce using Apex, LWC, Flows, SOQL, and related tools. Experience developing and maintaining integrations with AWS and external systems via APIs and middleware. Proven experience implementing and supporting Experience Cloud sites. Experience with Salesforce DevOps and Release Management using Git-based version control. Experience analyzing business requirements and translating them into technical solutions. Experience troubleshooting production issues using tools such as JIRA. Experience in automotive finance or consumer finance preferred. Education & Certification: Bachelor’s Degree in a relevant field or equivalent experience. Salesforce certifications preferred. Knowledge, Skills, & Abilities: Excellent technical proficiency across Salesforce CRM, Service Cloud, and Experience Cloud. Strong development skills in Apex, LWCs, SOQL, SOSL, and Flow Builder. Deep understanding of Salesforce data models, automation, security, and integration patterns. Strong understanding of SDLC and Agile methodologies. Strong ownership, communication skills, and ability to explain technical concepts clearly. Ability to work independently, manage multiple tasks, and deliver in a fast-paced environment. Highly detail-oriented with strong analytical and problem-solving skills. Hyundai Capital Canada Inc. is committed to acknowledge applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. This posting is for an active, existing vacancy. Hyundai Capital Canada is currently hiring for this role and applications are being reviewed as part of a live recruitment process. Canada-Ontario-Toronto", "summaryDescription" : "Manager, Digital Solutions at Hyundai Capital Canada. Skills: Salesforce, CRM, Service Cloud, Experience Cloud. Develop Salesforce solutions. Configure Salesforce solutions", "createdAt" : "2026-06-14T18:50:24.012", "lastUpdated" : "2026-06-16T03:30:10.050", "ingestTimestamp" : "2026-06-14T18:50:24.012", "mongoId" : "69fc49a74c40e2acd1a8342a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Salesforce development", "Integration development", "Release management", "Business analysis", "Salesforce", "CRM", "Service Cloud", "Experience Cloud", "System design", "SDLC", "Agile methodologies", "Agile", "Automotive finance", "Consumer finance", "Salesforce certifications", "JIRA" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 832.9011, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb67794d", "title" : "Internship in Data Management and Digitalization (International Student)", "company" : "Mercedes-Benz U. S. International, Inc.", "industry" : "Manufacturing", "salary" : { "min" : 18.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States of America-Alabama -Vance", "locations" : [ "United States of America-Alabama -Vance", "1 Mercedes-Drive, , Vance" ], "timestamp" : "2026-06-15T08:24:11.090", "fingerprint" : "411f92c9a614bb2982206e7a0cfe082064039975190f38d1fddd5b5ef93d6ea0", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=891652", "externalId" : "891652", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vance", "state" : "Alabama", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.1742847,-87.2336092" } ], "locationText" : "Vance, Alabama, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, SQL, Excel, Power BI, PowerApps, Automation tools, AI/ML concepts, Data visualization concepts", "professionalSkills" : [ "Supplier performance", "Automation projects", "Analytics projects", "Data analysis", "Digital tools" ], "hardSkillsList" : [ "Data management", "Digitalization" ], "hardSkills" : [ { "name" : "Data management", "level" : "intermediate" }, { "name" : "Digitalization", "level" : "intermediate" } ], "majorSkills" : "Data Management, Digitalization, Analytics", "majorSkillsList" : [ "Data Management", "Digitalization", "Analytics" ], "coreResponsibilities" : "Contribute to building scalable digital tools, Enhance supplier performance, Enhance procurement, Support automation projects, Support analytics projects, Collaborate with capacity teams, Collaborate with quality teams, Collaborate with procurement teams, Engage in tech-forward environment, Participate in agile digital initiatives, Drive impact across supply base, Help collect supplier data, Organize supplier data, Build basic dashboards, Track supplier performance, Participate in meetings, Organize supplier data, Clean supplier data, Test new digital tools, Develop new digital tools, Give feedback on tools, Create simple reports, Create simple slides, Learn new tech tools, Learn new platforms, Take notes, Follow up on action items, Coordinate team events", "teamCollaboration" : "Capacity teams; Quality teams; Procurement teams; Cross-location analysis; Diverse environments", "projectManagementSkills" : [ "Agile digital initiatives" ], "domainKnowledge" : "Supplier performance; Procurement", "domainList" : [ "supplier-performance", "procurement" ], "domainSpecificKnowledge" : [ "Supplier performance", "Procurement" ], "toolProficiency" : [ "Power BI", "PowerApps", "Outlook", "Teams", "SharePoint", "PowerPoint" ], "continuousLearning" : "Learn new tech tools; Learn new platforms", "innovationCreativity" : "Innovation; Continuous improvement", "problemSolvingSkills" : "Problem-solving", "outcomesObjectives" : "Enhance supplier performance; Enhance procurement; Drive impact across supply base", "qualificationsBasic" : "Bachelor's degree in Engineering or related area, Basic Python, Basic SQL, Basic Excel, Minimum 3 semesters of studies, Available for minimum 6 months", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Mercedes-Benz: Building Exceptional Vehicles… and Careers! The best chapters in Alabama’s automotive success story are yet to come. The Mercedes-Benz automobile of the future will be different; greener, more efficient, safer, and even more fascinating. Only one thing will never change – It will wear a star. The vehicles we manufacture are the finished results of our skilled workforce, and we're hiring even more. We are looking for Specialists and Team Members to join us in crafting a wide variety of vehicles from the Mercedes-Maybach GLS SUV to our all-electric electric vehicle, the EQS SUV and EQE SUV. Our Tuscaloosa County site is home to the production of Mercedes’ luxury SUV models, including electric vehicles. Just down the road in Bibb County, MBUSI has launched the production of high-performance lithium-ion batteries. Our two campuses are among the most advanced automotive manufacturing facilities in the world, with over 6 million square feet combined. MBUSI offers an excellent total rewards package including competitive compensation, health and life insurance, 401(k) matching program and defined contribution retirement plan, annual bonuses, tuition assistance, and paid holidays. Further on-site MBUSI resources such as childcare, medical center and fitness center are available for all to utilize. Our Team Members share a common goal to be the best luxury auto manufacturer in North America. MBUSI is committed to excellence and actively promotes positive team culture, teamwork, safety, quality, and continuous improvement. Mercedes-Benz, U.S. International, Inc. takes pride in being an Equal Employment Opportunities workplace. Mercedes-Benz U.S. International, Inc. is committed to equal opportunity regardless of race, age, ethnic origin, and any other characteristics classified under applicable Local and Federal laws. All qualified candidates are encouraged to apply for the opportunity to join us in electrifying the future! Essential Functions: Contribute to building scalable digital tools that enhance supplier performance and procurement Support automation and analytics projects using modern platforms like Power BI, PowerApps, and Python Collaborate with capacity, quality, and procurement teams across MP sites in Mexico and the U.S. Engage in a fast-paced, tech-forward environment focused on innovation and continuous improvement Participate in agile digital initiatives that drive real impact across supply base in North America Help collect and organize supplier data for cross-location analysis Other regular Tasks: Build basic dashboards to track supplier performance Actively participate in daily, weekly and monthly meetings Organize and clean supplier data Test and develop new digital tools and give feedback Create simple reports or slides for updates Learn new tech tools and platforms Take notes and follow up on action items Coordinate team events QUALIFICATIONS: Education, Experience and Necessary Skills all must be met in order to qualify for position. Education : Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Computer Science, Software Engineering or in a related area, and/or the equivalent combination of education and experience. Necessary Skills, Certifications, etc .: Basic Python, SQL, and Excel for data tasks Basic knowledge of Power BI, PowerApps, and automation tools Familiar with Outlook, Teams, SharePoint, and PowerPoint Awareness of AI/ML and data visualization concepts Teamwork in diverse environments Strong interest in learning and problem-solving Preferred Start Date: July/August 2026 Benefits: Paid Internship - hourly rate $18 Coverage of visa costs $700 monthly housing stipend Requirements: Currently enrolled in University or in a gap year between Bachelor's and Master’s degree Studies outside of the U.S.A A minimum of 3 semesters of studies in relevant field of study Available for a minimum of 6 months How to apply: To complete your application and be considered for an internship at MBUSI, you must attach all of the following documents: Cover letter including starting availability Detailed CV/Resume Transcript of records University High School Diploma Working references Certificate of enrollment Thank you for your interest in Mercedes-Benz U.S. International. Please be aware that it takes time to review applications and make a final decision. We appreciate your patience during this time. Mercedes-Benz U.S. International, Inc.", "summaryDescription" : "Internship in Data Management and Digitalization (International Student) at Mercedes-Benz U. S. International, Inc.. Skills: Data Management, Digitalization, Analytics. Contribute to building scalable digital tools. Enhance supplier performance", "createdAt" : "2026-06-14T00:42:53.872", "lastUpdated" : "2026-06-15T08:24:11.090", "ingestTimestamp" : "2026-06-14T00:42:53.872", "mongoId" : "69ce5e3b9bc74574cb67794d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data management", "Digitalization", "Data Management", "Analytics", "Supplier performance", "Automation projects", "Analytics projects", "Data analysis", "Digital tools", "Agile digital initiatives", "Procurement", "Power BI", "PowerApps", "Outlook", "Teams", "SharePoint", "PowerPoint" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 829.689, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ccdf874d8ee00a0a2b22f", "title" : "Intralogistics & Robotics Consultant", "company" : "CRB", "industry" : "Mechanical Or Industrial Engineering", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Intralogistics & Robotics Consultant in Kansas City, United States, adjusted for industry and company size." }, "location" : "Kansas City, MO, United States", "locations" : [ "Kansas City", "MO", "United States" ], "timestamp" : "2026-06-15T06:47:34.715", "fingerprint" : "baaf3cb1961875b06334e5b266c10c55df90e3880dd6290fe1adeeec69f823a0", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/CRB/744000131981907-intralogistics-robotics-consultant-", "externalId" : "744000131981907", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kansas City", "state" : "Missouri", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.1001050,-94.5781416" } ], "locationText" : "Kansas City, Missouri, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Robotics, Automation, Material handling systems, AMRs, AGVs, ASRS, WMS, MES, Control Systems", "professionalSkills" : [ "Consulting leadership", "Commercial acumen", "Business development", "Client relationship management" ], "hardSkillsList" : [ "Robotics integration", "Automation integration", "System integration" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Robotics integration", "level" : "intermediate" }, { "name" : "Automation integration", "level" : "intermediate" }, { "name" : "System integration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Intralogistics, Robotics, Automation solutions", "majorSkillsList" : [ "Intralogistics", "Robotics", "Automation solutions" ], "coreResponsibilities" : "Serve as trusted advisor, Shape intralogistics strategies, Shape automation strategies, Oversee robotics initiatives, Oversee automation initiatives, Define end-to-end strategies, Define roadmaps, Define business cases, Define technology selection, Define integration plans, Define implementation plans, Define commissioning activities, Direct collaboration with teams, Deliver automation-ready facilities, Define strategies for infrastructure, Define strategies for data flow, Define strategies for digital traceability, Define strategies for digital-twinning, Define strategies for real-time insights, Lead business development efforts, Support business development efforts, Expand client relationships, Expand strategic accounts, Act as thought leader, Contribute to industry publications, Contribute to client workshops, Contribute to speaking engagements", "teamCollaboration" : "Multidisciplinary teams; Architecture teams; Engineering teams; Construction teams", "projectManagementSkills" : [ "Roadmaps", "Business cases", "Integration plans", "Implementation plans" ], "domainKnowledge" : "Life sciences; Food and beverage; Manufacturing operations; Material handling; Robotics-enabled manufacturing", "domainList" : [ "life-sciences", "food-and-beverage", "manufacturing-operations", "material-handling", "robotics-enabled-manufacturing" ], "domainSpecificKnowledge" : [ "Life sciences", "Food and beverage", "Manufacturing operations", "Material handling", "Robotics-enabled manufacturing" ], "communicationSkills" : "Client strategy; Industry publications; Client workshops; Speaking engagements", "qualificationsBasic" : "Bachelor's degree, 10+ years experience, Integrate robotics and automation solutions, Business development success, Client relationship management, Revenue growth", "qualificationsPreferred" : "Advanced degree preferred, Experience in life sciences, Experience in pharmaceuticals, Experience in GMP-regulated environments, Experience in clean rooms, Experience leading multi-disciplinary teams", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "CRB is a leading provider of sustainable engineering, architecture, construction and consulting solutions to the global life sciences and food and beverage industries. Our more than 1,100 employees provide best-in-class solutions that drive success and positive change for our clients, our people and our communities. CRB is a privately held company with a rich history of serving clients throughout the world, consistently striving for the highest standard of technical knowledge, creativity and execution. CRB is seeking an Intralogistics & Robotics Consultant to lead and scale high-impact consulting and delivery-capability focused on next-generation material handling and automation solutions. This role is responsible for delivering complex intralogistics programs, shaping client strategy, and establishing CRB as a market leader in robotics-enabled manufacturing operations. The ideal candidate will be advising CRB’s clients while guiding multidisciplinary teams across the full lifecycle of intralogistics implementations, and brings a blend of deep technical expertise, consulting leadership, and commercial acumen. Primary Responsibilities * Serve as a trusted advisor to clients, shaping intralogistics and automation strategies aligned with business objectives. * Oversee complex, multi-phase robotics and automation initiatives across new and existing facilities, including defining end-to-end strategies: roadmaps, business cases, technology selection, integration and implementation plans, and commissioning activities. * Direct collaboration with architecture, engineering, and construction teams to deliver automation-ready facilities, including defining strategies for infrastructure, data flow, digital traceability, digital-twinning, and real-time operational insights. * Lead and support business development efforts, expanding client relationships and strategic accounts within markets served by CRB. * Act as a thought leader, contributing to industry publications, client workshops, and speaking engagements. ## Qualifications Required Qualifications * Bachelor’s degree in Robotics, Engineering, or related field (advanced degree preferred). * 10+ years of experience in robotics and automated material handling systems (e.g., AMRs, AGVs, ASRS, etc.), with a proven track record delivering large-scale end-to-end automated material handling programs. * Strong expertise integrating robotics and automation solutions in facility and material flow designs, and system integration (WMS, MES, Control Systems). * Demonstrated success in business development, client relationship management, and revenue growth. Preferred Qualifications * Experience in life sciences, pharmaceuticals, or GMP-regulated environments and clean rooms. * Experience leading multi-disciplinary teams across design, engineering, and operations * Familiarity with simulation, digital twins, and advanced analytics tools ## Additional Information All your information will be kept confidential according to EEO guidelines. CRB is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity Employer and it is our policy to provide equal opportunity to all people without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, citizenship status, sex, sexual orientation, gender identity or any other legally protected category. Employment is contingent on background screening. CRB does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any employee of CRB without a prior written search agreement will be considered unsolicited and the property of CRB. Please, no phone calls or emails. CRB offers a complete and competitive benefit package designed to meet individual and family needs. If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.", "summaryDescription" : "Intralogistics & Robotics Consultant at CRB. Skills: Intralogistics, Robotics, Automation solutions. Serve as trusted advisor. Shape intralogistics strategies", "postedDate" : "2026-06-12T20:04:17.000", "createdAt" : "2026-06-14T07:27:37.786", "lastUpdated" : "2026-06-15T06:47:34.715", "ingestTimestamp" : "2026-06-14T07:27:37.786", "mongoId" : "6a2ccdf874d8ee00a0a2b22f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Robotics integration", "Automation integration", "System integration", "Leadership", "Intralogistics", "Robotics", "Automation solutions", "Consulting leadership", "Commercial acumen", "Business development", "Client relationship management", "Roadmaps", "Business cases", "Integration plans", "Implementation plans", "Life sciences", "Food and beverage", "Manufacturing operations", "Material handling", "Robotics-enabled manufacturing" ], "skillCount" : 20, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 824.9751, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2e860374d8ee00a0de1f62", "title" : "Head of Robotics & Automation Engineering (f/m/d)", "company" : "Circus", "industry" : "Food & Beverage", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Director-level Head of Robotics & Automation Engineering in the Technology industry in Munich, Germany, adjusted for seniority and company size." }, "location" : "München, DE", "locations" : [ "München", "DE" ], "timestamp" : "2026-06-15T22:43:32.799", "fingerprint" : "5791c35b5d1b82b7aa0a30975b4a1e2b727f9cb54d2956f0b43e7701a3743ba2", "source" : "personio", "language" : "en", "applyUrl" : "https://circus.jobs.personio.de/job/2627254", "externalId" : "2627254", "industryFunction" : { }, "structuredLocations" : [ { "city" : "München", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "48.1371079,11.5753822" } ], "locationText" : "München, Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, ROS2", "professionalSkills" : [ "System design", "Team leadership", "Technical direction" ], "hardSkillsList" : [ "Embedded programming", "Real-time systems" ], "hardSkills" : [ { "name" : "Embedded programming", "level" : "intermediate" }, { "name" : "Real-time systems", "level" : "intermediate" } ], "majorSkills" : "Robotics, Automation Engineering, Embedded Systems, Industrial Automation", "majorSkillsList" : [ "Robotics", "Automation Engineering", "Embedded Systems", "Industrial Automation" ], "coreResponsibilities" : "Own technical direction, Set up embedded programming, Drive delivery from prototype, Define architectural decisions, Ensure integration between robotics software, Ensure integration between control systems, Ensure integration between hardware, Partner with product, Partner with operations, Translate requirements into systems, Establish engineering standards, Establish engineering processes, Establish team structure, Lead Robotics & Automation team, Mentor Robotics & Automation team, Grow Robotics & Automation team", "teamCollaboration" : "Cross-functional teams; Mechanical teams; Electrical teams; Product teams", "domainKnowledge" : "Autonomous food production; Robotic kitchen systems; Industrial automation; Embedded systems; Control systems", "domainList" : [ "autonomous-food-production", "robotic-kitchen-systems", "industrial-automation", "embedded-systems", "control-systems" ], "domainSpecificKnowledge" : [ "Autonomous food production", "Robotic kitchen systems", "Industrial automation", "Embedded systems", "Control systems" ], "communicationSkills" : "Structured communication", "continuousLearning" : "Personal budget for training; In-house trainings", "qualificationsBasic" : "8+ years in robotics, 8+ years in automation, Proven experience leading teams, Proven experience scaling teams, Background in industrial automation, Understanding of robotics systems, Understanding of embedded environments, Expert-level C++, Experience delivering complex systems, Cross-functional collaboration skills", "qualificationsPreferred" : "PLC experience, Control systems experience, ROS2 experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Our Mission At Circus (Xetra: CA1), headquartered in Munich, we are pioneering global developments in on-demand autonomous food production. Everything from creation to production and operation – enabled by seamlessly integrated cutting-edge robotics and transformative AI technology. Our foundation rests in the extensive developments of groundbreaking robotics driven by artificial intelligence, previously the missing link in achieving true autonomous food automation. This is the moment for a new status quo: Just as autonomous driving will disrupt how we build cities, organize our days, and live our lives, so will we shift our whole reality around food. Our Team is backing a paradigm shift in one of humanity's most important sectors with the sharpest minds in Robotics, AI, Engineering and Culinary, collaborating closely with industry-leading partners to revolutionize every aspect of the food service experience. Join us as we forge ahead, crafting a future where the art of cooking and the science of technology converge to create a world that thinks differently about food than it has for thousands of years—a world where food means something new. About the Role As Head of Robotics & Automation, you are responsible for building and leading the team that develops the core automation stack behind our robotic kitchen systems. You define the technical direction, ensure delivery across product milestones, and build a high-performing engineering organization across robotics, embedded systems, and industrial automation. This role sits at the intersection of technology, product, and real-world operations — working closely with mechanical, electrical, and product teams to bring complex systems into production. You'll have real ownership: over the architecture, the team, and the direction. Your Daily Business Own the technical direction across robotics, embedded systems, and industrial automation — and stay close to the engineering Set up, drive, and own a modern approach for embedded programming in C++ and ROS2 Drive delivery from prototype to production-ready systems, hands-on where it matters Define and oversee architectural decisions together with the team Ensure tight integration between robotics software, control systems, and hardware Partner with product and operations to translate real-world requirements into scalable systems Establish engineering standards, processes, and team structure Lead, mentor, and grow the Robotics & Automation team Base Qualifications 8+ years in robotics, automation, or related fields Proven experience leading and scaling technical teams Strong background in industrial automation (PLC, control systems) Strong understanding of robotics systems and embedded environments Expert-level C++ for embedded / real-time systems Experience delivering complex hardware-software systems into production Strong cross-functional collaboration skills Clear and structured communication across technical and non-technical stakeholders Preferred Qualifications Our Offer Competitive Compensation: Competitive compensation package with stock options for full-time employees. Work-Life Balance: Regular team events, hybrid work setup, 2 months/year remote work (Worcation), unlimited vacation days, and a corporate pension plan. Personal Development: Personal budget for training, in-house trainings, and growth opportunities in a fast-paced environment. Mobility: Monthly budget for mobility or other expenses, and a subsidized Mobility Subscription for E-Bike/E-Moped. Well-Being: Discounted Urban Sports Club membership and Wellhub for a variety of well-being offerings.", "summaryDescription" : "Head of Robotics & Automation Engineering (f/m/d) at Circus. Skills: Robotics, Automation Engineering, Embedded Systems, Industrial Automation. Own technical direction. Set up embedded programming", "createdAt" : "2026-06-14T18:26:54.086", "lastUpdated" : "2026-06-15T22:43:32.799", "ingestTimestamp" : "2026-06-14T18:26:54.086", "mongoId" : "6a2e860374d8ee00a0de1f62", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Embedded programming", "Real-time systems", "Robotics", "Automation Engineering", "Embedded Systems", "Industrial Automation", "System design", "Team leadership", "Technical direction", "Autonomous food production", "Robotic kitchen systems", "Industrial automation", "Embedded systems", "Control systems" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 821.4008, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cd04d74d8ee00a0a2febc", "title" : "Digital Automation Developer 1", "company" : "HDR", "salary" : { "min" : 68000.0, "max" : 88000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an entry-level Digital Automation Developer in Omaha, United States, adjusted for industry and company size." }, "location" : "United States-Nebraska-Omaha", "locations" : [ "United States-Nebraska-Omaha" ], "certifications" : [ "Microsoft Power Platform certifications", "AI tool certifications" ], "timestamp" : "2026-06-15T23:06:32.387", "fingerprint" : "972ac3fc027bda4c159f2d80bc988dc3f6f6ba18233885b653e0797ff97513d2", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=783313", "externalId" : "783313", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Power Platform, AI Builder, Azure Foundry, JSON, Power BI", "professionalSkills" : [ "Application lifecycle management" ], "hardSkillsList" : [ "Low-code development", "Automation development", "AI agent development" ], "hardSkills" : [ { "name" : "Low-code development", "level" : "intermediate" }, { "name" : "Automation development", "level" : "intermediate" }, { "name" : "AI agent development", "level" : "intermediate" } ], "majorSkills" : "Low-code development, Automation, AI agents", "majorSkillsList" : [ "Low-code development", "Automation", "AI agents" ], "coreResponsibilities" : "Design low-code applications, Build low-code applications, Maintain low-code applications, Design reports/dashboards, Build reports/dashboards, Maintain reports/dashboards, Design automations, Build automations, Maintain automations, Design AI-powered agents, Build AI-powered agents, Maintain AI-powered agents, Deliver reliable solutions, Deliver secure solutions, Deliver supportable solutions, Contribute to platform maturity, Provide automation analysis", "teamCollaboration" : "Partnering with business stakeholders; Partnering with data teams; Partnering with quality analysts; Partnering with platform administrators; Working with makers; Working with end users", "projectManagementSkills" : [ "Application lifecycle management" ], "domainKnowledge" : "Data governance; Data privacy; Regulatory environments", "domainList" : [ "data-governance", "data-privacy", "regulatory-environments" ], "domainSpecificKnowledge" : [ "Data governance", "Data privacy", "Regulatory environments" ], "toolProficiency" : [ "Copilot Studio", "AI Builder", "Azure Foundry", "Power BI", "Microsoft Power Platform" ], "problemSolvingSkills" : "Reason about JSON; Reason about expressions; Reason about basic scripting", "outcomesObjectives" : "Deliver reliable solutions; Deliver secure solutions; Deliver supportable solutions", "qualificationsBasic" : "Experience building solutions with Microsoft Power Platform, Familiarity with governed enterprise environments, Exposure to AI-powered solutions, Familiarity with application lifecycle management concepts", "qualificationsPreferred" : "Experience with Copilot Studio, Experience with AI Builder, Experience with Azure Foundry, Experience with other AI tools, Familiarity with Microsoft 365, Familiarity with SharePoint, Familiarity with Teams, Familiarity with Power BI, Ability to read and reason about JSON, Ability to read and reason about expressions, Ability to read and reason about basic scripting, Understanding of data governance, Understanding of data privacy, Understanding of regulatory environments, Exposure to Power Platform Center of Excellence, Working with makers and end users, Microsoft Power Platform certifications, AI tool certifications", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. This role designs, builds, and maintains low‑code applications, reports/dashboard, automations, and AI‑powered agents. This role focuses on enterprise‑grade solutions, operating within established governance, security, and data standards while partnering closely with business stakeholders, data teams, quality analysts, and platform administrators. The developer is expected to deliver reliable, secure, and supportable solutions (reports, apps, automations, AI agents, etc.), not prototypes alone, and to contribute to platform maturity through reusable components, documentation, and best practices. Additionally, the developer may provide automation analysis. Preferred Qualifications Experience with Copilot Studio, AI Builder, or Azure Foundry or other AI tools. Familiarity with Microsoft 365, SharePoint, Teams, and Power BI. Ability to read and reason about JSON, expressions, and basic scripting where needed. Understanding of data governance, data privacy, and regulatory environments. Exposure to Power Platform Center of Excellence (CoE) and working with makers and end users in support and testing activities. Microsoft Power Platform and AI tool certifications. Required Qualifications Experience building solutions with Microsoft Power Platform or comparable low‑code platforms. Familiarity with governed enterprise environments (not ad‑hoc personal apps only). Exposure to AI‑powered solutions, agentic agents, or conversational agents. Familiarity with application lifecycle management (ALM) concepts.", "summaryDescription" : "Digital Automation Developer 1 at HDR. Skills: Low-code development, Automation, AI agents. Design low-code applications. Build low-code applications", "createdAt" : "2026-06-14T21:53:32.457", "lastUpdated" : "2026-06-15T23:06:32.387", "ingestTimestamp" : "2026-06-14T21:53:32.457", "mongoId" : "6a2cd04d74d8ee00a0a2febc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 68000, "salaryAnnualMax" : 88000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Low-code development", "Automation development", "AI agent development", "Automation", "AI agents", "Application lifecycle management", "Data governance", "Data privacy", "Regulatory environments", "Microsoft Power Platform certifications", "AI tool certifications", "Copilot Studio", "AI Builder", "Azure Foundry", "Power BI", "Microsoft Power Platform" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 816.90454, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2cd04d74d8ee00a0a2febe", "title" : "Digital Automation Platform Manager", "company" : "HDR", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Technology industry in Omaha, United States, adjusted for company size and seniority." }, "location" : "United States-Nebraska-Omaha", "locations" : [ "United States-Nebraska-Omaha" ], "certifications" : [ "Power Platform Solution Architect", "Power Platform Functional Consultant", "Power BI", "Power Platform Developer" ], "timestamp" : "2026-06-16T01:45:02.399", "fingerprint" : "bd767b53d3131004bb2946f348c2471fa47335eeb813de24afdf07e19937feb5", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=783335", "externalId" : "783335", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceLevel" : "Manager", "technicalSkills" : "Microsoft Power Platform, Google Workspace, AppSheet, Apps Script, Azure, BigQuery, APIs, Connectors, Gateways, Middleware, IPaaS", "professionalSkills" : [ "Platform governance", "Solution delivery", "Vendor management", "Budget management", "Stakeholder management", "Citizen development" ], "hardSkillsList" : [ "Low-code development", "Automation", "Capacity planning", "Service management", "Problem management", "ALM", "CI/CD", "Risk management", "Compliance", "Data governance", "Access management", "Lifecycle management", "Reporting", "Budget forecasting", "Spend optimization" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Low-code development", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Capacity planning", "level" : "intermediate" }, { "name" : "Service management", "level" : "intermediate" }, { "name" : "Problem management", "level" : "intermediate" }, { "name" : "ALM", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "Risk management", "level" : "intermediate" }, { "name" : "Compliance", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Access management", "level" : "intermediate" }, { "name" : "Lifecycle management", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Budget forecasting", "level" : "intermediate" }, { "name" : "Spend optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Low-code platforms, Automation platforms, Platform governance, Citizen development", "majorSkillsList" : [ "Low-code platforms", "Automation platforms", "Platform governance", "Citizen development" ], "coreResponsibilities" : "Lead a team of platform administrators, Coach a team of platform administrators, Develop a team of platform administrators, Set goals for team, Provide feedback to team, Support career development for team, Own strategy for enterprise low-code automation platforms, Own roadmap for enterprise low-code automation platforms, Own operating model for enterprise low-code automation platforms, Establish platform governance, Enforce platform governance, Oversee platform administration, Oversee platform monitoring, Oversee platform reliability, Oversee platform capacity, Oversee platform licensing/subscriptions, Manage incidents with IT partners, Manage problem management with IT partners, Drive solution delivery using platform capabilities, Define reusable components, Maintain reusable components, Define templates, Maintain templates, Define connectors/integration patterns, Maintain connectors/integration patterns, Define ALM/CI-CD approaches, Maintain ALM/CI-CD approaches, Partner with Information Security, Partner with Risk/Compliance, Partner with Data Governance, Partner with Enterprise Architecture, Enable citizen development programs, Govern citizen development programs, Identify automation opportunities, Measure automation outcomes, Maintain KPI dashboards, Maintain executive reporting, Manage vendor relationships, Coordinate with Microsoft support, Coordinate with Google support, Evaluate platform add-ons, Recommend platform add-ons, Evaluate related tooling, Recommend related tooling, Develop budget forecasts, Manage budget forecasts, Optimize spend, Document standards, Document procedures, Document reference architectures, Ensure operational readiness, Ensure knowledge transfer", "teamCollaboration" : "IT partners; Information Security; Risk/Compliance; Data Governance; Enterprise Architecture; Microsoft support; Google support", "projectManagementSkills" : [ "Roadmap planning", "ALM", "CI/CD" ], "domainKnowledge" : "Low-code platforms; Automation; Microsoft ecosystem; Google ecosystem; Data platforms; Analytics ecosystems; Integration patterns; Application integration; Data integration; Cloud-native architecture", "domainList" : [ "low-code-platforms", "automation", "microsoft-ecosystem", "google-ecosystem", "data-platforms", "analytics-ecosystems", "integration-patterns", "application-integration", "data-integration", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Low-code platforms", "Automation", "Microsoft ecosystem", "Google ecosystem", "Data platforms", "Analytics ecosystems", "Integration patterns", "Application integration", "Data integration", "Cloud-native architecture" ], "toolProficiency" : [ "Microsoft Power Platform", "Google Workspace", "AppSheet", "Apps Script" ], "communicationSkills" : "Executive reporting", "documentationSkills" : "Document standards; Document procedures; Document reference architectures", "problemSolvingSkills" : "Translate business problems", "outcomesObjectives" : "Reduce cycle time; Improve quality; Increase adoption; Achieve ROI", "qualificationsBasic" : "Bachelor's degree or equivalent practical experience, Minimum 8 years of experience delivering business applications, workflow automation, or analytics solutions, At least 2 years leading teams and/or platform programs, Working knowledge of identity and access management, Working knowledge of information security principles, Working knowledge of data governance concepts, Experience integrating SaaS platforms, Experience integrating enterprise systems using APIs, Experience integrating enterprise systems using connectors, Experience integrating enterprise systems using gateways, Experience integrating enterprise systems using middleware/iPaaS patterns, Strong stakeholder management skills, Ability to translate business problems into scalable platform solutions, Ability to translate business problems into scalable platform standards", "qualificationsPreferred" : "Power Platform certifications, Experience implementing a Power Platform Center of Excellence, Operating citizen-developer programs at scale, Experience with Google Workspace administration, Experience with Google Workspace security controls, Familiarity with SDLC practices for low-code platforms, Experience with data platforms, Experience with analytics ecosystems, Experience with application development standards, Experience with application development practices, Experience with related platforms, Knowledge of integration platforms, Knowledge of integration best practices, Demonstrated experience building KPI frameworks, Experience reporting on adoption, Experience reporting on value, Experience reporting on risk, Experience with Microsoft Power Platform, Experience with Google's low-code/automation ecosystem, Experience with governance/administration practices within Google Workspace", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. •Lead, coach, and develop a team of platform administrators, developers, and citizen-development enablement resources; set goals, provide feedback, and support career development. •Own the strategy, roadmap, and operating model for enterprise low-code automation platforms across Microsoft and Google ecosystems. •Establish and enforce platform governance, including environment/project provisioning, data loss prevention (DLP) and policy controls, access management, standards, naming conventions, and lifecycle management. •Oversee platform administration, monitoring, reliability, capacity, licensing/subscriptions, and service health; manage incidents and problem management with IT partners. •Drive solution delivery using platform capabilities (apps, workflows/automations, integrations, bots/agents where applicable, and analytics) from intake through design, build, test, release, and support. •Define and maintain reusable components, templates, connectors/integration patterns, and ALM/CI-CD approaches appropriate for low-code solutions. •Partner with Information Security, Risk/Compliance, Data Governance, and Enterprise Architecture to ensure secure-by-design and compliant implementations. •Enable and govern citizen development programs, including training, community of practice, intake/triage, solution reviews, and guardrails. •Identify automation opportunities and measure outcomes (e.g., cycle time reduction, quality improvements, adoption, and ROI); maintain KPI dashboards and executive reporting. •Manage vendor relationships and coordinate with Microsoft/Google support as needed; evaluate and recommend platform add-ons and related tooling. •Develop and manage budget forecasts related to licensing, tooling, and training; optimize spend while meeting business needs. •Document standards, procedures, and reference architectures; ensure operational readiness and knowledge transfer. Preferred Qualifications •Power Platform certifications (e.g., Power Platform Solution Architect, Power Platform Functional Consultant, Power BI, or Power Platform Developer) or equivalent demonstrated expertise. •Experience implementing a Power Platform Center of Excellence (CoE) and operating citizen-developer programs at scale. •Experience with Google Workspace administration and security controls relevant to automation solutions. •Familiarity with SDLC practices for low-code platforms, including testing approaches, release management, and support models. •Experience with data platforms and analytics ecosystems (e.g., Azure, BigQuery) and enterprise integration patterns. •Experience with application development standards, practices and related platforms. •Knowledge of integration platforms and best practices when it comes to application and data integration. •Demonstrated experience building KPI frameworks and reporting on adoption, value, and risk. •Experience with Microsoft Power Platform (administration and/or solution delivery), including governance concepts such as environments, DLP policies, connectors, and ALM. •Experience with Google’s low-code/automation ecosystem (e.g., AppSheet and/or Apps Script) and governance/administration practices within Google Workspace. Required Qualifications •Bachelor’s degree or equivalent practical experience. •Minimum 8 years of experience delivering business applications, workflow automation, or analytics solutions, with at least 2 years leading teams and/or platform programs. •Working knowledge of identity and access management, information security principles, and data governance concepts. •Experience integrating SaaS platforms and enterprise systems using APIs, connectors, gateways, or middleware/iPaaS patterns. •Strong stakeholder management skills and the ability to translate business problems into scalable platform solutions and standards.", "summaryDescription" : "Digital Automation Platform Manager at HDR. Skills: Low-code platforms, Automation platforms, Platform governance, Citizen development. Lead a team of platform administrators. Coach a team of platform administrators", "createdAt" : "2026-06-14T18:57:19.693", "lastUpdated" : "2026-06-16T01:45:02.399", "ingestTimestamp" : "2026-06-14T18:57:19.693", "mongoId" : "6a2cd04d74d8ee00a0a2febe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Low-code development", "Automation", "Capacity planning", "Service management", "Problem management", "ALM", "CI/CD", "Risk management", "Compliance", "Data governance", "Access management", "Lifecycle management", "Reporting", "Budget forecasting", "Spend optimization", "Leadership", "Low-code platforms", "Automation platforms", "Platform governance", "Citizen development", "Solution delivery", "Vendor management", "Budget management", "Stakeholder management", "Roadmap planning", "Microsoft ecosystem", "Google ecosystem", "Data platforms", "Analytics ecosystems", "Integration patterns", "Application integration", "Data integration", "Cloud-native architecture", "Power Platform Solution Architect", "Power Platform Functional Consultant", "Power BI", "Power Platform Developer", "Microsoft Power Platform", "Google Workspace", "AppSheet", "Apps Script" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 816.7602, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8baf74d8ee00a097378f", "title" : "Operations Manager, Robotics Data", "company" : "Foundry Robotics", "industry" : "People", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-16T02:42:27.280", "fingerprint" : "cebddff76bcf7c8f1ddae04e7bd13eb2ae7b1d8fa8048eb8066eafb9aeb601ca", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/foundry-robotics/7212a3e4-ecb8-45f4-a8eb-852571f9e8f7/application", "externalId" : "7212a3e4-ecb8-45f4-a8eb-852571f9e8f7", "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", "experienceLevel" : "Manager", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Data collection", "Quality assurance", "Performance management", "Training", "Logistics management", "Timekeeping", "Payroll management", "Safety management", "EHS management", "Facilities management", "Continuous improvement program" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Quality assurance", "level" : "intermediate" }, { "name" : "Performance management", "level" : "intermediate" }, { "name" : "Training", "level" : "intermediate" }, { "name" : "Logistics management", "level" : "intermediate" }, { "name" : "Timekeeping", "level" : "intermediate" }, { "name" : "Payroll management", "level" : "intermediate" }, { "name" : "Safety management", "level" : "intermediate" }, { "name" : "EHS management", "level" : "intermediate" }, { "name" : "Facilities management", "level" : "intermediate" }, { "name" : "Continuous improvement program", "level" : "intermediate" } ], "majorSkills" : "Workforce management, Operations management, Quality control, Process improvement", "majorSkillsList" : [ "Workforce management", "Operations management", "Quality control", "Process improvement" ], "coreResponsibilities" : "Own workforce lifecycle, Source operators, Screen operators, Hire operators, Onboard operators, Certify operators, Manage operator performance, Offboard operators, Run daily operations cadence, Plan shifts, Assign stations, Manage breaks, Manage coverage, Manage shift leads, Operate escalation paths, Build operator scorecards, Review operator scorecards, Track success rate, Track rejection rate, Track throughput, Manage quality variance, Design incentive structure, Execute incentive structure, Build onboarding curriculum, Build certification gating, Run live floor QA, Catch issues in real time, Execute operator training, Execute operator certification, Execute pilot batch readiness, Own fleet readiness, Perform daily rig health checks, Perform in-shift swaps, Stage spares, Ensure stations are production-ready, Own contractor timekeeping, Manage payroll vendor relationship, Manage floor logistics, Manage layout, Manage station configuration, Manage supplies, Manage badging, Manage safety, Manage EHS, Manage facilities, Manage VR teleop floor logistics, Manage headset hygiene, Manage motion sickness rotation, Manage controller battery logistics, Manage charging logistics, Run continuous improvement program, Focus on throughput, Focus on ergonomics, Focus on station efficiency, Build career ladder, Define operations OKRs, Report operations OKRs, Enforce data governance, Ensure data handling per requirements", "teamCollaboration" : "Partner with Technical Program Manager; Coordinate with engineering; Coordinate with data quality; Coordinate with operators", "projectManagementSkills" : [ "Kaizen", "6S" ], "domainKnowledge" : "Robotics manufacturing; AI-native manufacturing; Dual-use manufacturing; UMI gripper data; Egocentric data; VR teleop data; Data pipeline; Customer contracts; Regulatory requirements", "domainList" : [ "robotics-manufacturing", "ai-native-manufacturing", "dual-use-manufacturing", "umi-gripper-data", "egocentric-data", "vr-teleop-data", "data-pipeline", "customer-contracts", "regulatory-requirements" ], "domainSpecificKnowledge" : [ "Robotics manufacturing", "AI-native manufacturing", "Dual-use manufacturing", "UMI gripper data", "Egocentric data", "VR teleop data", "Data pipeline", "Customer contracts", "Regulatory requirements" ], "documentationSkills" : "SOPs", "innovationCreativity" : "Build workforce operations from scratch; Drive rapid build-test-learn cycles; Reimagining manufacturing", "problemSolvingSkills" : "Fix what's broken in real time; Scrappy problem solving", "outcomesObjectives" : "Deliver usable data; Ship what model teams need; Achieve rigorous operation; Achieve scalable operation; Improve throughput; Improve ergonomics; Improve station efficiency", "qualificationsBasic" : "3–5 years managing contractor workforce of 30+, Build workforce operations from ground up, Improve on existing programs, Own operator scorecards, SOP execution, Standardization, Hands-on experience running a shift, Solve problems in real time, Track and improve operational metrics, Design onboarding programs, Design certification programs, Design performance management programs", "qualificationsPreferred" : "Experience in data collection, Experience in AV ops, Experience in fulfillment, Experience in clinical trials, Experience in field ops", "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT US Foundry Robotics is building an AI-native robotics manufacturing company focused on deploying advanced assembly and production capability for leading robotics companies and national-security-critical hardware. Basically, we’re building robots that build robots. We are reimagining manufacturing through advanced robotics. Our mission is to rebuild the American manufacturing industry as an AI-first, assembly-focused, dual-use contract manufacturer. We aim to empower manufacturers with intelligent, efficient, and adaptable robotic systems that redefine productivity and quality. THE ROLE This role is for an Operations Manager who thrives on building and running a high-performance contractor workforce, equally comfortable designing onboarding programs from first principles and walking the floor to fix what's broken in real time. You will own the people-and-process layer that turns billable contractor hours into delivered, usable data, managing 50+ operators executing UMI gripper, egocentric, and VR teleop data collection against real customer contracts. You will stand up workforce operations from scratch and drive rapid build-test-learn cycles to deliver an operation that is both rigorous and scalable. You will partner closely with the Technical Program Manager, Robotics Data, to own rig calibration, QA spec, and the data pipeline handoff. Together you are accountable for whether the floor ships what the model teams need. KEY RESPONSIBILITIES - Own the end-to-end workforce lifecycle for 50+ operators, including sourcing, screening, hiring, onboarding, certification, performance management, and offboarding - Run the daily operations cadence, including shift planning, station assignments, breaks, and coverage - Manage shift leads (3–5 direct reports) and operate escalation paths into engineering - Build and review operator scorecards weekly, tracking success rate, rejection rate, and throughput, surfacing and managing the 60–95% quality variance common across operators - Design and execute a quality-first incentive structure - Build the onboarding curriculum and certification gating, ensuring no operator captures production data until certified on the rig and task - Run live floor QA, catching issues in real time against SOPs co-authored with the TPM - Execute operator training, certification, and pilot batch readiness when new tasks ramp up - Own fleet readiness on the floor, including daily rig health checks, in-shift swaps, spares staging, and ensuring every station is production-ready at shift start - Own contractor timekeeping, the payroll vendor relationship, and floor logistics including layout, station configuration, supplies, badging, safety, EHS, and facilities - Manage VR teleop floor logistics, including headset hygiene, motion sickness rotation policies, and controller battery and charging logistics - Run a continuous improvement program (Kaizen / 6S) focused on throughput, ergonomics, and station efficiency - Build the career ladder for top operators (operator → senior → trainer → shift lead) - Define and report against operations-level OKRs for throughput, quality, and operator performance - Enforce data governance on the floor, ensuring operators handle customer data per contractual and regulatory requirements WHAT WE'RE LOOKING FOR - 3–5 years managing a contractor or hourly workforce of 30+ in a high-throughput operations environment (data collection, AV ops, manufacturing, fulfillment, clinical trials, field ops) - Proven ability to build workforce operations from the ground up and improve on existing programs - Comfortable owning operator scorecards, SOP execution, and standardization - Equally effective at a desk and on the floor, with deep hands-on experience running a shift and solving problems in real time - Track record tracking and improving operational metrics (throughput, quality, retention, certification rates) - Experience designing onboarding, certification, and performance management programs in a cross-functional environment - Collaborative by nature, you consider downstream impacts on data quality, engineering, and operators when making operational decisions - Bias toward action, scrappy problem solving, and moving fast without sacrificing rigor WHY JOIN US? This is one of the only places where world-class manufacturing operators, mechanical engineers, robotics researchers, and software engineers sit in the same room — building production systems together. We are committed to being deeply embedded in the U.S. industrial base. Our focus is simple: build adaptive robotic assembly systems that make American manufacturing scalable, resilient, and competitive again. If you want to run a mature, well-defined commercial org, this may not be the role. If you want to build the commercial engine that brings AI-driven manufacturing to every industrial and energy customer in America — this is it. The base salary range for this full-time position in the location of San Francisco is: $150,000—$250,000 USD Compensation packages at Foundry Robotics for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Foundry Robotics employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, and generous PTO.", "summaryDescription" : "Operations Manager, Robotics Data at Foundry Robotics. Skills: Workforce management, Operations management, Quality control, Process improvement. Own workforce lifecycle. Source operators", "createdAt" : "2026-06-14T18:15:11.860", "lastUpdated" : "2026-06-16T02:42:27.280", "ingestTimestamp" : "2026-06-14T18:15:11.860", "mongoId" : "6a2c8baf74d8ee00a097378f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data collection", "Quality assurance", "Performance management", "Training", "Logistics management", "Timekeeping", "Payroll management", "Safety management", "EHS management", "Facilities management", "Continuous improvement program", "Workforce management", "Operations management", "Quality control", "Process improvement", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Kaizen", "6S", "Robotics manufacturing", "AI-native manufacturing", "Dual-use manufacturing", "UMI gripper data", "Egocentric data", "VR teleop data", "Data pipeline", "Customer contracts", "Regulatory requirements" ], "skillCount" : 32, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 810.6938, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2176c774d8ee00a0c1ada1", "title" : "Sr. Automation Engineer, AME", "company" : "Amazon Innovation Center (Shenzhen) Company Limited", "industry" : "Hardware Development, alexa and amazon devices", "salary" : { "min" : 1200000.0, "max" : 2000000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Sr. Automation Engineer in Shenzhen, China, adjusted for executive seniority at a large manufacturing company." }, "location" : "Shenzhen, CHN", "locations" : [ "Shenzhen, CHN" ], "timestamp" : "2026-06-15T00:52:29.851", "fingerprint" : "8049e98b9d896bf252656d56df81990fba1d169693729a73210fd68001129176", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10439182/apply", "externalId" : "37e4b07e-5d43-4001-b0ec-f106db31cfaf", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Shenzhen", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "22.5445741,114.0545429" } ], "locationText" : "Shenzhen, China", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "3D CAD, CAE", "professionalSkills" : [ "Mechanical engineering", "Mechatronics engineering", "Quality engineering", "Product Quality", "Product Reliability" ], "hardSkillsList" : [ "Mechanical design", "Hardware design", "Robotics", "Automation", "Assembly automation", "Process automation", "Design requirements", "Prototyping", "Validation", "Testing", "Certification", "System testing", "Sub-system testing", "Functional specifications", "Design verification", "Test procedures", "FMEA documents", "Quality concepts", "Quality tools", "Quality methods", "8D", "DOE", "APQP", "PPAP", "FMEA", "Measurement Systems Analysis", "Assembly automation machines", "FAT", "SAT", "GD&T", "CAD analysis", "CFD analysis", "Engineering documentation", "Electrical diagrams", "Mechanical diagrams", "Standard operating procedures", "Mechanical structure design", "Tooling design", "Motor control system", "Gear box design", "Tolerance analysis" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Mechanical design", "level" : "intermediate" }, { "name" : "Hardware design", "level" : "intermediate" }, { "name" : "Robotics", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Assembly automation", "level" : "intermediate" }, { "name" : "Process automation", "level" : "intermediate" }, { "name" : "Design requirements", "level" : "intermediate" }, { "name" : "Prototyping", "level" : "intermediate" }, { "name" : "Validation", "level" : "intermediate" }, { "name" : "Testing", "level" : "intermediate" }, { "name" : "Certification", "level" : "intermediate" }, { "name" : "System testing", "level" : "intermediate" }, { "name" : "Sub-system testing", "level" : "intermediate" }, { "name" : "Functional specifications", "level" : "intermediate" }, { "name" : "Design verification", "level" : "intermediate" }, { "name" : "Test procedures", "level" : "intermediate" }, { "name" : "FMEA documents", "level" : "intermediate" }, { "name" : "Quality concepts", "level" : "intermediate" }, { "name" : "Quality tools", "level" : "intermediate" }, { "name" : "Quality methods", "level" : "intermediate" }, { "name" : "8D", "level" : "intermediate" }, { "name" : "DOE", "level" : "intermediate" }, { "name" : "APQP", "level" : "intermediate" }, { "name" : "PPAP", "level" : "intermediate" }, { "name" : "FMEA", "level" : "intermediate" }, { "name" : "Measurement Systems Analysis", "level" : "intermediate" }, { "name" : "Assembly automation machines", "level" : "intermediate" }, { "name" : "FAT", "level" : "intermediate" }, { "name" : "SAT", "level" : "intermediate" }, { "name" : "GD&T", "level" : "intermediate" }, { "name" : "CAD analysis", "level" : "intermediate" }, { "name" : "CFD analysis", "level" : "intermediate" }, { "name" : "Engineering documentation", "level" : "intermediate" }, { "name" : "Electrical diagrams", "level" : "intermediate" }, { "name" : "Mechanical diagrams", "level" : "intermediate" }, { "name" : "Standard operating procedures", "level" : "intermediate" }, { "name" : "Mechanical structure design", "level" : "intermediate" }, { "name" : "Tooling design", "level" : "intermediate" }, { "name" : "Motor control system", "level" : "intermediate" }, { "name" : "Gear box design", "level" : "intermediate" }, { "name" : "Tolerance analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Automation solutions, Mechanical design, Robotics", "majorSkillsList" : [ "Automation solutions", "Mechanical design", "Robotics" ], "coreResponsibilities" : "Innovate assembly automation solutions, Design assembly automation solutions, Develop assembly automation solutions, Design automation workcell layout, Define robotics automation problems, Expand robotics automation problems, Explore robotics automation problems, Derive requirements from PRD, Analyze cross-functional tradeoffs, Execute product designs, Prototype product designs, Validate product designs, Test product designs, Certify product designs, Coordinate cross-functions for project success, Provide Mechanical Engineering leadership, Conduct experiments, Conduct simulations, Collect data, Perform system testing, Perform sub-system testing, Identify design choices for safety, Identify design choices for reliability, Identify design choices for usability, Write functional specifications, Develop functional specifications, Write design verification plans, Develop design verification plans, Write evaluations, Develop evaluations, Write test procedures, Develop test procedures, Write FMEA documents, Develop FMEA documents", "teamCollaboration" : "Hardware and Operations teams; Local and offshore Operations teams; OEM partners; Interdisciplinary team; Cross-functional teams; China and US teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Manufacturing automation; Assembly processes; Mechanical engineering; Mechatronics engineering; Robotics; Industrial Automation; Human Centered Design; Quality engineering; Product Quality; Product Reliability; Quality concepts; Quality tools; Quality methods; Mechanical structure design; Tooling design; Motor control system; Gear box design; Tolerance analysis", "domainList" : [ "manufacturing-automation", "assembly-processes", "mechanical-engineering", "mechatronics-engineering", "robotics", "industrial-automation", "human-centered-design", "quality-engineering", "product-quality", "product-reliability", "quality-concepts", "quality-tools", "quality-methods", "mechanical-structure-design", "tooling-design", "motor-control-system", "gear-box-design", "tolerance-analysis" ], "domainSpecificKnowledge" : [ "Manufacturing automation", "Assembly processes", "Mechanical engineering", "Mechatronics engineering", "Robotics", "Industrial Automation", "Human Centered Design", "Quality engineering", "Product Quality", "Product Reliability", "Quality concepts", "Quality tools", "Quality methods", "Mechanical structure design", "Tooling design", "Motor control system", "Gear box design", "Tolerance analysis" ], "toolProficiency" : [ "Solidworks" ], "communicationSkills" : "Written communication; Verbal communication; Presentation", "documentationSkills" : "Functional specifications; Design verification; Test procedures; FMEA documents; Engineering documentation; Electrical diagrams; Mechanical diagrams; Standard operating procedures", "innovationCreativity" : "Innovate automation solutions; Explore cutting edge technologies; Innovate; Design; Develop; Incubating new technology; Commercializing new technology; Idea generation", "problemSolvingSkills" : "Resolve complex issues; Creative problem solving; Efficient problem solving; Effective problem solving; Analyze tradeoffs; Root cause analysis", "outcomesObjectives" : "Drive world class manufacturing automation solutions; Scale operations globally; Realize process automation; Ensure project success; Ensure products are safe; Ensure products are reliable; Ensure products are usable; Deploy at Amazon scale; Support at Amazon scale; Delight customers", "qualificationsBasic" : "Bachelor's degree in mechanical engineering, 15+ yrs experience hardware solutions, Fluent in 3D CAD, Manufacturing knowledge experience", "qualificationsPreferred" : "Master's degree in mechanical engineering, Technical expertise in Industrial Automation, Technical expertise in Robotics, Technical expertise in Human Centered Design, Proficiency with FMEA, Proficiency with GD&T, Proficiency with CAD analysis tools, Proficiency with CFD-based analysis tools, Expertise in Mechanical 2D/3D structure design, Expertise in tooling design, Expertise in motor control system, Expertise in gear box design, Expertise in tolerance analysis", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We disrupt manufacturing with latest technological solutions while digitizing assembly and now we are taking it to the next level. Key job responsibilities As a Senior MDE - Automation Engineer, you will be responsible for driving world class manufacturing automation solutions to scale our operations globally. This will involve innovating automation solutions for assembly processes providing mechanical hardware design and development leadership for concept development, hardware design, development, explore cutting edge technologies, and design equipment to realize process automation. You will be a key member of the development team and will be the main interface between the Hardware and local and offshore Operations teams within Lab126 and our OEM partners. The right candidate will possess solid understanding of technical principles and concepts in mechanical or mechatronics engineering. The candidate will have demonstrated experience leading complex design/engineering projects, and will have a well-rounded technical background in complex inter-disciplinary systems. A day in the life Primary responsibilities include: 1. Innovate, design and develop cost effective assembly automation solutions. This will involve designing (3D CAD) of automation workcell layout. 2. Define, expand, and explore the design space for complex, multidisciplinary robotics and automation problems. 3. Derive functional and design requirements from Product Requirements Document, identify and analyze the cross-functional tradeoffs between design alternatives, including impact on performance, schedule, cost, risk, complexity, and scale. 4. Work with an interdisciplinary team to execute product designs from concept to production; including design, prototyping, validation, testing, and certification. 5. Coordinate with all other cross-functions to ensure project success. 6. Possess a thorough understanding of technical principles and concepts in mechanical engineering. 7. Provide Mechanical Engineering leadership, conduct experiments, simulations, data collection, perform system and sub-system level testing. Identify design choices to ensure our products are safe, reliable, and usable, and can be deployed and supported at Amazon scale. 8. Writing and developing functional specifications, design verification plans, evaluations, test procedures, FMEA documents. About the team You will be working with highly skilled individuals with varying skills and background from China and US. Partner teams will look to you to solve complex issues using automation and coming up with new ways to improve the overall product design to delight our customers Basic Qualifications: - Bachelor's degree in mechanical engineering or equivalent - Experience with written and verbal communication and presentation - 15+ yrs of experience in hardware solutions for automation, robotics, or similar area. - Ability to resolve complex issues in creative, efficient, and effective ways - Demonstrated ability to gain deep understanding of the business and end user needs quickly, and to proficiently translate needs into the correct technology solution. - Able to provide the customer and company-wide perspective to detailed technical decisions. - Fluent in 3D CAD (Solidworks), CAE - Manufacturing knowledge and relevant work experience in Supplier or Product Quality or Product Reliability. - Experience with quality concepts/tools/methods such as 8D, DOE, APQP, PPAP, FMEA, Measurement Systems Analysis, etc. - Demonstrated experience implementing quality engineering principles through development programs - Experience in qualifying assembly automation machines FAT, SAT Preferred Qualifications: - Master's degree in mechanical engineering, electrical engineering, material science, physics or equivalent, or MS degree - Technical expertise in at least one domain: Industrial Automation, Robotics, Human Centered Design - Demonstrated experience incubating and commercializing new technology, working closely with research scientists and technical teams from idea generation through implementation. - Proficiency with FMEA, GD&T, CAD and CFD-based analysis tools. - Demonstrated understanding of engineering documentation, electrical and mechanical diagrams, and standard operating procedures. - Strong expertise in Mechanical 2D/3D structure design, tooling design or motor control system, gear box design and tolerance analysis. 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" : "Sr. Automation Engineer, AME at Amazon Innovation Center (Shenzhen) Company Limited. Skills: Automation solutions, Mechanical design, Robotics. Innovate assembly automation solutions. Design assembly automation solutions", "postedDate" : "2026-06-13T09:38:46.160", "createdAt" : "2026-06-13T09:38:46.160", "lastUpdated" : "2026-06-15T00:52:29.851", "ingestTimestamp" : "2026-06-13T09:38:46.160", "mongoId" : "6a2176c774d8ee00a0c1ada1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10439182/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Mechanical design", "Hardware design", "Robotics", "Automation", "Assembly automation", "Process automation", "Design requirements", "Prototyping", "Validation", "Testing", "Certification", "System testing", "Sub-system testing", "Functional specifications", "Design verification", "Test procedures", "FMEA documents", "Quality concepts", "Quality tools", "Quality methods", "8D", "DOE", "APQP", "PPAP", "FMEA", "Measurement Systems Analysis", "Assembly automation machines", "FAT", "SAT", "GD&T", "CAD analysis", "CFD analysis", "Engineering documentation", "Electrical diagrams", "Mechanical diagrams", "Standard operating procedures", "Mechanical structure design", "Tooling design", "Motor control system", "Gear box design", "Tolerance analysis", "Leadership", "Automation solutions", "Mechanical engineering", "Mechatronics engineering", "Quality engineering", "Product Quality", "Product Reliability", "Project management", "Manufacturing automation", "Assembly processes", "Industrial Automation", "Human Centered Design", "Solidworks" ], "skillCount" : 54, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 806.29083, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a16291b58b93c861e959d54", "title" : "Digital Automation Developer 2", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Digital Automation Developer in Omaha, adjusted for full-time onsite work." }, "location" : "United States-Nebraska-Omaha", "locations" : [ "United States-Nebraska-Omaha" ], "timestamp" : "2026-06-16T02:12:21.003", "fingerprint" : "6d1c661e1e501f7779afc228c2dfc5241f309529d38d92b1af1af170bc485666", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=783295", "externalId" : "783295", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "rawDescription" : "What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Nebraska-Omaha", "summaryDescription" : "Digital Automation Developer 2", "createdAt" : "2026-06-14T21:17:38.200", "lastUpdated" : "2026-06-16T02:12:21.003", "ingestTimestamp" : "2026-06-14T21:17:38.200", "mongoId" : "6a16291b58b93c861e959d54", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.5555556, "_score" : 798.5187, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.85 }, { "id" : "6a30a2adf292fd229c11e90d", "title" : "Automation Engineer", "company" : "HelloFresh", "industry" : "Manufacturing", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Automation Engineer in Derby, UK, adjusted for Lead seniority and the Food & Beverage industry." }, "location" : "Derby, England, United Kingdom", "locations" : [ "Derby", "England", "United Kingdom" ], "timestamp" : "2026-06-16T12:54:23.620", "fingerprint" : "ffa44e9176164f43085ca7e600c4d88935d7f51295eef4de19148587d17d01e1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.hellofresh.com/global/en/job/7846756?gh_jid=7846756", "externalId" : "7846756", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Derby", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.9142235,-1.4719885" } ], "locationText" : "Derby, England, United Kingdom", "technicalSkills" : "PLCs, HMIs, VFDs, Automation, Controls, Robotics", "professionalSkills" : [ "Root cause analysis", "Continuous Improvement", "Process monitoring", "Flow analysis", "Capacity visualization" ], "hardSkillsList" : [ "PLC programming", "PLC troubleshooting", "PLC repair", "PLC maintenance", "Control systems maintenance", "Robotics maintenance", "Equipment repair", "Preventive maintenance", "Routine inspections", "Root cause analysis", "Commissioning controls systems", "Vendor work audit", "PM modification" ], "softSkillsList" : [ "Confident communicator", "Mentor" ], "hardSkills" : [ { "name" : "PLC programming", "level" : "intermediate" }, { "name" : "PLC troubleshooting", "level" : "intermediate" }, { "name" : "PLC repair", "level" : "intermediate" }, { "name" : "PLC maintenance", "level" : "intermediate" }, { "name" : "Control systems maintenance", "level" : "intermediate" }, { "name" : "Robotics maintenance", "level" : "intermediate" }, { "name" : "Equipment repair", "level" : "intermediate" }, { "name" : "Preventive maintenance", "level" : "intermediate" }, { "name" : "Routine inspections", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Commissioning controls systems", "level" : "intermediate" }, { "name" : "Vendor work audit", "level" : "intermediate" }, { "name" : "PM modification", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Confident communicator" }, { "name" : "Mentor" } ], "majorSkills" : "Automation, Controls, Robotics, Maintenance Engineering", "majorSkillsList" : [ "Automation", "Controls", "Robotics", "Maintenance Engineering" ], "coreResponsibilities" : "Monitor systems, Fault find systems, Repair systems, Perform preventive maintenance, Perform routine inspections, Troubleshoot out of service equipment, Correct equipment issues, Escalate to leadership, Escalate to vendors, Document all work, Mentor maintenance personnel, Develop maintenance personnel knowledge, Partner with engineering on commissioning, Audit vendor work, Provide feedback on quality, Write PMs, Modify PMs", "teamCollaboration" : "Facilities teams; Maintenance teams; Colleagues; Engineering; Vendors", "projectManagementSkills" : [ "CI initiatives" ], "domainKnowledge" : "Controls systems; Maintenance engineering; Sensors; PLCs; Communication protocols; Automation; Robotics; Material handling systems; FMCG production", "domainList" : [ "controls-systems", "maintenance-engineering", "sensors", "plcs", "communication-protocols", "automation", "robotics", "material-handling-systems", "fmcg-production" ], "domainSpecificKnowledge" : [ "Controls systems", "Maintenance engineering", "Sensors", "PLCs", "Communication protocols", "Automation", "Robotics", "Material handling systems", "FMCG production" ], "toolProficiency" : [ "CMMS", "Ticketing systems" ], "communicationSkills" : "Technical manuals; Engineering drawings; Schematics", "documentationSkills" : "Document work", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "specialRequirements" : "Rotating days and nights, Health and safety compliance, DBS checks", "outcomesObjectives" : "Provide high level of equipment availability; Improve reliability of systems", "qualificationsBasic" : "Solid practical understanding in Mechatronics, Electrical & Electronic, Mechanical, or Manufacturing Engineering, Experienced in Automation, Mechanical, or Maintenance Engineering, Proficient in PLC-controlled systems, Comfortable interpreting technical manuals, engineering drawings, and schematics, Skilled in reactive and preventative maintenance, Adept in material handling systems, Experienced in leading Root Cause Analysis, Independent right to work in the UK", "qualificationsPreferred" : "Experience in a manufacturing or production environment such as FMCG, Exposure to flow analysis, capacity visualization, and process monitoring, Familiar with DIQ and WMS systems, Coaching junior engineers, Stepping in as proxy for senior automation engineers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: Automation Engineer Location: Smart parc, Spondon, Derby DE21 7HW Shift: Suez Shift Pattern rotating days and nights, 0600-1800 and 1800-0600. Let's Discuss What's On The Table For You: 70% off HelloFresh or Green Chef boxes Free onsite parking (including ~90 EV spaces) Gym membership Bupa private medical insurance (including dental & family cover options) Nursery support scheme (save up to 40% on your nursery fees) Earn up to £500 with our Referral Program Electric vehicle scheme Cycle to work scheme Group Life Assurance Company pension scheme Mental health first aiders and an employee assistance programme Play a key part in supporting our Employee Resource Groups: FreshVets, Black Heritage Network, NEU Network (Neurodiversity), GET (Gender Equality Team) and FreshPride About The Team: As an Automation Engineer you will be the site Subject Matter Expert (SME) within the team, for all controls systems, maintenance engineering, sensors, PLCs, communication protocols, and automation for the site. You will work with the facilities and maintenance teams and colleagues to maintain and repair conveyance, automation and facilities equipment to support operations uptime and improve reliability of our systems. What You Will Be Doing: Work in a hands-on manner to actively monitor, fault find and repair systems in order to provide a high level of equipment availability to internal customers. Perform preventive maintenance and routine inspections on assigned automation, robotics and control panels. Perform troubleshooting of assigned out of service equipment and correct issues, act as an escalation point for lower level technicians, and escalate to leadership and/or vendors as needed for additional troubleshooting. Document all work in the computerized maintenance management system (CMMS) and ticketing systems as appropriate. Mentor all maintenance personnel in developing appropriate skill sets and knowledge of equipment specializing in automation, controls and robotics. Lead root cause analysis of major downtime events. Act as a network resource for technical issues and lead network-wide root cause analysis. Develop maintenance personnel knowledge on intermediate to advanced automation, controls and robotics. Partner with engineering on commissioning of new controls systems. Audit vendor work to provide feedback to leadership on quality of work and SLA performance. Write and/or modify PMs to standardize across the network and increase effectiveness. Who You Are: Qualified or Solid practical understanding in Mechatronics, Electrical & Electronic, Mechanical, or Manufacturing Engineering Experienced in Automation, Mechanical, or Maintenance Engineering, ideally within a manufacturing or production environment such as FMCG. Proficient in PLC-controlled systems and automated processes, including programming, troubleshooting, repair, and maintenance of PLCs, HMIs, VFDs, and related control systems. Comfortable interpreting technical manuals, engineering drawings, and schematics to support diagnostics and solutions. Skilled in both reactive and preventative maintenance, with a track record of handling second-line escalations and completing CMMS (Computerized Maintenance Management System) tasks. Adept in material handling systems, with exposure to flow analysis, capacity visualization, and process monitoring. A confident communicator and mentor, capable of coaching junior engineers and stepping in as proxy for senior automation engineers when required. Experienced in leading Root Cause Analysis, supporting CI (Continuous Improvement) initiatives, and familiar with DIQ and WMS systems. To be considered for this role, you’ll need to have the independent right to work in the UK, as we're unfortunately unable to provide sponsorship at this time. Next steps: Your application will be reviewed and if successful, a member of the Talent Acquisition Team will be in touch within 2 weeks. You are required to cooperate with HelloFresh in all health and safety matters. You are responsible for ensuring you take reasonable care of your own health, and safety as well as others who may be affected by the work activities you undertake. You must report incidents immediately and actively raise health and safety-related concerns to your Line Manager. As part of our commitment to maintaining a safe and secure environment, we will process Disclosure and Barring Service (DBS) checks to the successful individual. Failure to disclose relevant information at application or throughout the process could affect your employment with the company. If you are currently a HelloFresh employee, please make sure you have discussed your application with your Line Manager.", "summaryDescription" : "Automation Engineer at HelloFresh. Skills: Automation, Controls, Robotics, Maintenance Engineering. Monitor systems. Fault find systems", "postedDate" : "2026-06-16T03:17:14.250", "createdAt" : "2026-06-16T03:17:14.250", "lastUpdated" : "2026-06-16T12:54:23.620", "ingestTimestamp" : "2026-06-16T03:17:14.250", "mongoId" : "6a30a2adf292fd229c11e90d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "PLC programming", "PLC troubleshooting", "PLC repair", "PLC maintenance", "Control systems maintenance", "Robotics maintenance", "Equipment repair", "Preventive maintenance", "Routine inspections", "Root cause analysis", "Commissioning controls systems", "Vendor work audit", "PM modification", "Confident communicator", "Mentor", "Automation", "Controls", "Robotics", "Maintenance Engineering", "Continuous Improvement", "Process monitoring", "Flow analysis", "Capacity visualization", "CI initiatives", "Controls systems", "Maintenance engineering", "Sensors", "PLCs", "Communication protocols", "Material handling systems", "FMCG production", "CMMS", "Ticketing systems" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "_score" : 795.60205, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f701", "title" : "Intern for Process Automation (Mandatory Internship)", "company" : "Mercedes-Benz AG", "industry" : "Technology", "salary" : { "min" : 12000.0, "max" : 18000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for entry-level internships in the technology industry in Stuttgart, Germany, adjusted for the specific company and mandatory internship requirements." }, "location" : "Germany-Baden-Württemberg-Stuttgart-Vaihingen", "locations" : [ "Germany-Baden-Württemberg-Stuttgart-Vaihingen", "Am Wallgraben 114, , Stuttgart-Vaihingen" ], "timestamp" : "2026-06-16T03:09:49.412", "fingerprint" : "b752d59c114ab66e770f3f2a6cbf14dc0a0ba98fff0935c03c828ee9694d338e", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=896914", "externalId" : "896914", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Stuttgart", "state" : "Baden-Württemberg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "48.7784485,9.1800132" } ], "locationText" : "Stuttgart, Baden-Württemberg, Germany", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "technicalSkills" : "Power Automate, N8N, Python, SharePoint, Excel, APIs, LLMs, PowerBI, Azure", "professionalSkills" : [ "Process automation", "Workflow design", "Data management", "Stakeholder management", "Prompt engineering", "System optimization", "Technical documentation", "Presentation skills" ], "hardSkillsList" : [ "Automation scripting", "Workflow automation", "LLM prompt development", "Technical writing" ], "softSkillsList" : [ "Analytical thinking", "Teamwork" ], "hardSkills" : [ { "name" : "Automation scripting", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" }, { "name" : "LLM prompt development", "level" : "intermediate" }, { "name" : "Technical writing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical thinking" }, { "name" : "Teamwork" } ], "majorSkills" : "Process Automation, Workflow Automation, LLM Prompt Engineering", "majorSkillsList" : [ "Process Automation", "Workflow Automation", "LLM Prompt Engineering" ], "coreResponsibilities" : "Design automated workflows, Implement automated workflows, Streamline business processes, Manage dynamic content, Manage variables, Ensure data flows, Meet with stakeholders, Understand requirements, Develop LLM prompts, Refine LLM prompts, Optimize automation, Document technical architecture, Present results, Present processes, Write intranet articles, Create presentations", "teamCollaboration" : "Team player; Work with stakeholders", "domainKnowledge" : "Information security; Cyber security; Audit compliance; Large Language Models", "domainList" : [ "information-security", "cyber-security", "audit-compliance", "large-language-models" ], "domainSpecificKnowledge" : [ "Information security", "Cyber security", "Audit compliance", "Large Language Models" ], "toolProficiency" : [ "Power Automate", "N8N", "Python", "MS Office", "PowerBI", "Azure" ], "communicationSkills" : "Technical writing; Presentations", "documentationSkills" : "Technical architecture documentation", "innovationCreativity" : "Innovative mindset", "problemSolvingSkills" : "Analytical thinking", "specialRequirements" : "Mandatory internship", "qualificationsBasic" : "Mandatory internship, Studying Bachelor or Masters, Proficient English skills, Basic MS Office handling", "qualificationsPreferred" : "German is a plus, Basic knowledge in Microsoft PowerBI, Basic knowledge in Power Automate, Basic knowledge in Azure, Basic knowledge in N8N, Basic knowledge in python", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The PT/TST Security & Digital Transformation department coordinates information security–related topics worldwide for the market regions Germany, Europe, the USA, China and Overseas, as well as for the international competence centres, in order to support compliant, stable and secure IT operations and to achieve security objectives. Within the department, there is Cyber Security and Quality Assurance team, which is the central team responsible for Information Security Officer Coordination and Internal & External Audit compliance topics. This motivated team always looks for opportunity to automate repetitive tasks using Microsoft Power automate, N8N and python. We are looking for you – a team player with an innovative mindset, strong customer focus, analytical thinking and a passion for new challenges! With us, you will support us in automation projects as well as a wide range of diverse and exciting tasks that have a significant impact on the entire organisation. Tasks: Design and implement end-to-end automated workflows using platforms like Power Automate, N8N or python to streamline document-heavy business processes. Manage dynamic content and variables to ensure data flows correctly between disparate systems like SharePoint, Excel, and APIs Regular meeting with various stakeholders to understand their requirements Develop and refine System and User prompts for Large Language Models (LLMs) to ensure outputs meet specific compliance or analytical standards Optimize existing automation for speed and cost-efficiency Document technical architecture, including URI structures, API versions, and variable definitions, to ensure maintainability by the wider team Presenting the results and process in team or department meetings Miscellaneous tasks like writing or editing intranet article and creating presentations on need The activity can start from August 2026. Studying Bachelor or Masters in engineering or sciences, preferably with a focus on Computer science, Information Technology, Data analytics, AI or a comparable field of study Proficient English skills, both spoken and written, German is a plus Confident handling of MS Office Basic knowledge in Microsoft PowerBI, Power Automate, Azure, N8N and python is an advantage Independent and structured way of working, quick grasp of new topics, and strong analytical thinking skills Strong engagement and teamwork skills Analytical thinking paired with a strategic approach A high level of commitment Please note that your internship at this location must be mandatory. Additional Information: The internship takes place at our Vaihingen location in Stuttgart; regular on-site presence (2-5 days per week, depending on the phase of the internship) is required. We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, proof of mandatory internship if applicable, 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-zentrale@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" : "Intern for Process Automation (Mandatory Internship) at Mercedes-Benz AG. Skills: Process Automation, Workflow Automation, LLM Prompt Engineering. Design automated workflows. Implement automated workflows", "createdAt" : "2026-06-14T18:52:10.024", "lastUpdated" : "2026-06-16T03:09:49.412", "ingestTimestamp" : "2026-06-14T18:52:10.024", "mongoId" : "6a191e7758b93c861e39f701", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Automation scripting", "Workflow automation", "LLM prompt development", "Technical writing", "Analytical thinking", "Teamwork", "Process Automation", "Workflow Automation", "LLM Prompt Engineering", "Process automation", "Workflow design", "Data management", "Stakeholder management", "Prompt engineering", "System optimization", "Technical documentation", "Presentation skills", "Information security", "Cyber security", "Audit compliance", "Large Language Models", "Power Automate", "N8N", "Python", "MS Office", "PowerBI", "Azure" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 790.63727, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cd32b74d8ee00a0a35d3e", "title" : "Intralogistics & Robotics Consultant", "company" : "CRB", "industry" : "Mechanical Or Industrial Engineering", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Intralogistics & Robotics Consultants in Dallas, United States, adjusted for industry and company size." }, "location" : "Dallas, TX, United States", "locations" : [ "Dallas", "TX", "United States" ], "timestamp" : "2026-06-15T09:26:46.781", "fingerprint" : "b9bac656b9f5461d8855bb323caf6ee77c8caec05f911b4cb8b360026e7a1223", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/CRB/744000131982609-intralogistics-robotics-consultant-", "externalId" : "744000131982609", "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", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Robotics, Automation, Material handling systems, AMRs, AGVs, ASRS, WMS, MES, Control Systems", "professionalSkills" : [ "Consulting leadership", "Commercial acumen", "Business development", "Client relationship management", "Revenue growth" ], "hardSkillsList" : [ "Robotics integration", "Automation integration", "Material flow design", "System integration" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Robotics integration", "level" : "intermediate" }, { "name" : "Automation integration", "level" : "intermediate" }, { "name" : "Material flow design", "level" : "intermediate" }, { "name" : "System integration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Intralogistics, Robotics, Automation solutions, Material handling", "majorSkillsList" : [ "Intralogistics", "Robotics", "Automation solutions", "Material handling" ], "coreResponsibilities" : "Serve as trusted advisor, Shape intralogistics strategies, Shape automation strategies, Oversee robotics initiatives, Oversee automation initiatives, Define end-to-end strategies, Define roadmaps, Define business cases, Select technology, Define integration plans, Define implementation plans, Define commissioning activities, Direct collaboration with teams, Deliver automation-ready facilities, Define infrastructure strategies, Define data flow strategies, Define digital traceability strategies, Define digital-twinning strategies, Define real-time operational insights, Lead business development efforts, Expand client relationships, Expand strategic accounts", "teamCollaboration" : "Multidisciplinary teams; Architecture teams; Engineering teams; Construction teams", "projectManagementSkills" : [ "Roadmap planning", "Business cases", "Integration plans", "Implementation plans" ], "domainKnowledge" : "Life sciences; Food and beverage; Robotics-enabled manufacturing; Material handling; Automation solutions; GMP-regulated environments; Clean rooms", "domainList" : [ "life-sciences", "food-and-beverage", "robotics-enabled-manufacturing", "material-handling", "automation-solutions", "gmp-regulated-environments", "clean-rooms" ], "domainSpecificKnowledge" : [ "Life sciences", "Food and beverage", "Robotics-enabled manufacturing", "Material handling", "Automation solutions", "GMP-regulated environments", "Clean rooms" ], "communicationSkills" : "Industry publications; Client workshops; Speaking engagements", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Bachelor's degree in Robotics, 10+ years experience robotics, 10+ years automated material handling systems, Integrate robotics and automation solutions, Facility and material flow designs, System integration (WMS, MES, Control Systems), Demonstrated success business development, Client relationship management, Revenue growth", "qualificationsPreferred" : "Advanced degree preferred, Experience in life sciences, Experience in pharmaceuticals, Experience in GMP-regulated environments, Experience in clean rooms, Experience leading multi-disciplinary teams", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "CRB is a leading provider of sustainable engineering, architecture, construction and consulting solutions to the global life sciences and food and beverage industries. Our more than 1,100 employees provide best-in-class solutions that drive success and positive change for our clients, our people and our communities. CRB is a privately held company with a rich history of serving clients throughout the world, consistently striving for the highest standard of technical knowledge, creativity and execution. CRB is seeking an Intralogistics & Robotics Consultant to lead and scale high-impact consulting and delivery-capability focused on next-generation material handling and automation solutions. This role is responsible for delivering complex intralogistics programs, shaping client strategy, and establishing CRB as a market leader in robotics-enabled manufacturing operations. The ideal candidate will be advising CRB’s clients while guiding multidisciplinary teams across the full lifecycle of intralogistics implementations, and brings a blend of deep technical expertise, consulting leadership, and commercial acumen. Primary Responsibilities * Serve as a trusted advisor to clients, shaping intralogistics and automation strategies aligned with business objectives. * Oversee complex, multi-phase robotics and automation initiatives across new and existing facilities, including defining end-to-end strategies: roadmaps, business cases, technology selection, integration and implementation plans, and commissioning activities. * Direct collaboration with architecture, engineering, and construction teams to deliver automation-ready facilities, including defining strategies for infrastructure, data flow, digital traceability, digital-twinning, and real-time operational insights. * Lead and support business development efforts, expanding client relationships and strategic accounts within markets served by CRB. * Act as a thought leader, contributing to industry publications, client workshops, and speaking engagements. ## Qualifications Required Qualifications * Bachelor’s degree in Robotics, Engineering, or related field (advanced degree preferred). * 10+ years of experience in robotics and automated material handling systems (e.g., AMRs, AGVs, ASRS, etc.), with a proven track record delivering large-scale end-to-end automated material handling programs. * Strong expertise integrating robotics and automation solutions in facility and material flow designs, and system integration (WMS, MES, Control Systems). * Demonstrated success in business development, client relationship management, and revenue growth. Preferred Qualifications * Experience in life sciences, pharmaceuticals, or GMP-regulated environments and clean rooms. * Experience leading multi-disciplinary teams across design, engineering, and operations * Familiarity with simulation, digital twins, and advanced analytics tools ## Additional Information All your information will be kept confidential according to EEO guidelines. CRB is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity Employer and it is our policy to provide equal opportunity to all people without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, citizenship status, sex, sexual orientation, gender identity or any other legally protected category. Employment is contingent on background screening. CRB does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any employee of CRB without a prior written search agreement will be considered unsolicited and the property of CRB. Please, no phone calls or emails. CRB offers a complete and competitive benefit package designed to meet individual and family needs. If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.", "summaryDescription" : "Intralogistics & Robotics Consultant at CRB. Skills: Intralogistics, Robotics, Automation solutions, Material handling. Serve as trusted advisor. Shape intralogistics strategies", "postedDate" : "2026-06-12T20:04:53.000", "createdAt" : "2026-06-14T07:29:00.499", "lastUpdated" : "2026-06-15T09:26:46.781", "ingestTimestamp" : "2026-06-14T07:29:00.499", "mongoId" : "6a2cd32b74d8ee00a0a35d3e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Robotics integration", "Automation integration", "Material flow design", "System integration", "Leadership", "Intralogistics", "Robotics", "Automation solutions", "Material handling", "Consulting leadership", "Commercial acumen", "Business development", "Client relationship management", "Revenue growth", "Roadmap planning", "Business cases", "Integration plans", "Implementation plans", "Life sciences", "Food and beverage", "Robotics-enabled manufacturing", "GMP-regulated environments", "Clean rooms" ], "skillCount" : 23, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 778.12714, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a16291b58b93c861e959d57", "title" : "Digital Automation Platform Manager", "company" : "HDR", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Omaha, United States, adjusted for company size and industry." }, "location" : "United States-Nebraska-Omaha", "locations" : [ "United States-Nebraska-Omaha" ], "timestamp" : "2026-06-15T09:09:10.746", "fingerprint" : "0c28169213ff0d09878263f13e7b2525f9dc5ebb794d5f7555df44f29767ccd6", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=783335", "externalId" : "783335", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Nebraska-Omaha", "summaryDescription" : "Digital Automation Platform Manager at HDR", "createdAt" : "2026-06-14T00:58:16.693", "lastUpdated" : "2026-06-15T09:09:10.746", "ingestTimestamp" : "2026-06-14T00:58:16.693", "mongoId" : "6a16291b58b93c861e959d57", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "_score" : 768.19763, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c5fb974d8ee00a08ee131", "title" : "Robotics Process Automation (RPA) Developer", "company" : "cBEYONData + SMX", "salary" : { "min" : 103100.0, "max" : 171800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "cBEYONData", "locations" : [ "cBEYONData" ], "certifications" : [ "UiPath Advanced Developer Certification" ], "timestamp" : "2026-06-15T01:37:33.299", "fingerprint" : "eda28340703b4c10cc6c875789da2068a6240dac18be3853deb881864d46694c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ess/jobs/7748701003", "externalId" : "7748701003", "structuredLocations" : [ { "city" : "izabelin c", "state" : "mazovia", "country" : "poland", "continent" : "europe", "source" : "city_strategy", "geo" : "52.29929,20.80381" } ], "locationText" : "cBEYONData", "experienceMinYears" : 3, "technicalSkills" : "RPA, AWS, Machine Learning, Power BI", "professionalSkills" : [ "Process documentation", "Intelligent Automation" ], "hardSkillsList" : [ "Process automation", "Programming", "Debugging", "QA processes" ], "softSkillsList" : [ "Integrity", "Client service", "Expertise", "Adaptability", "Teamwork" ], "hardSkills" : [ { "name" : "Process automation", "level" : "intermediate" }, { "name" : "Programming", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" }, { "name" : "QA processes", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Integrity" }, { "name" : "Client service" }, { "name" : "Expertise" }, { "name" : "Adaptability" }, { "name" : "Teamwork" } ], "majorSkills" : "RPA development, Automation solutions, Machine Learning", "majorSkillsList" : [ "RPA development", "Automation solutions", "Machine Learning" ], "coreResponsibilities" : "Automate business processes, Gather requirements, Document processes, Develop solutions, Test solutions, Deploy solutions, Conduct peer reviews, Provide feedback, Debug existing code, Upgrade existing code, Ensure quality automation, Document automation procedures, Shape Future of Work, Deliver Intelligent Automation", "teamCollaboration" : "Work with ML Engineers", "projectManagementSkills" : [ "Agile Development methodology" ], "domainKnowledge" : "Federal Government environment", "domainList" : [ "federal-government-environment" ], "domainSpecificKnowledge" : [ "Federal Government environment" ], "toolProficiency" : [ "UiPath", "Blueprism", "Automation Anywhere", "Pega" ], "communicationSkills" : "Client communication", "documentationSkills" : "Process documentation; Automation procedures", "continuousLearning" : "Learning & development opportunities", "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Troubleshoot; Debug", "specialRequirements" : "Active Secret Clearance", "outcomesObjectives" : "Automate key business processes at scale", "qualificationsBasic" : "Active Secret Clearance, 3 Years experience as RPA developer, 1 Year experience in programming language", "qualificationsPreferred" : "Experience analyzing business processes, Creating design specifications, AWS knowledge/experience, UiPath Advanced Developer Certification, Power BI experience, Understanding of Agile Development methodology, Production support of RPA automation, Creating and deploying Machine Learning models", "rawDescription" : "Have you been looking to shift your career into high gear? This is your opportunity to take your ambitions and convert them into a solid career in a supportive and innovative environment! SMX is looking for a Robotics Process Automation (RPA) Developer. SMX is a technology consulting firm run by hands-on technologists that combines people, process and technology to deliver innovative solutions to our clients. We invest in our biggest asset - our people! You can be a part of a winning team that will contribute to your career growth. Essential Duties & Responsibilities Work directly with our highly visible clients and automate their key business processes at scale Be involved in all aspects of implementing automation solutions from requirements gathering and process documentation to developing, testing, and deploying solutions Conduct peer reviews and provide feedback Troubleshoot, debug, and upgrade existing code Ensure quality automation using QA processes Document automation procedures Help shape \"Future of Work\" for our clients Work with our ML Engineers to deliver Intelligent Automation by combining RPA with machine learning Required Skills/Experience Ability to represent and uphold our core values of integrity, client service, expertise, adaptability, communication, and teamwork Active Secret Clearance 3 Years experience as an RPA developer with any one of these tools (UiPath, Blueprism, Automation Anywhere, or Pega) 1 Year experience in any programming language Desired Skills/Experience Experience analyzing complex business processes and creating design specifications in a Federal Government environment AWS knowledge/experience UiPath Advanced Developer Certification Power BI experience Understanding of Agile Development methodology Production support of RPA automation Creating and deploying Machine Learning models Application Deadline: July 31, 2026 # LI-SA1 The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement. The proposed salary for this position is: $103,100—$171,800 USD SMX is an Equal Opportunity employer including disabilities and veterans. Selected applicant may be subject to a background investigation and/or education verification. SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i. e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).", "summaryDescription" : "Robotics Process Automation (RPA) Developer at cBEYONData + SMX. Skills: RPA development, Automation solutions, Machine Learning. Automate business processes. Gather requirements", "postedDate" : "2026-06-12T22:15:41.650", "createdAt" : "2026-06-12T22:15:41.650", "lastUpdated" : "2026-06-15T01:37:33.299", "ingestTimestamp" : "2026-06-12T22:15:41.650", "mongoId" : "6a2c5fb974d8ee00a08ee131", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 103100, "salaryAnnualMax" : 171800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Process automation", "Programming", "Debugging", "QA processes", "Integrity", "Client service", "Expertise", "Adaptability", "Teamwork", "RPA development", "Automation solutions", "Machine Learning", "Process documentation", "Intelligent Automation", "Agile Development methodology", "Federal Government environment", "UiPath Advanced Developer Certification", "UiPath", "Blueprism", "Automation Anywhere", "Pega" ], "skillCount" : 21, "jobCategory" : "other", "jobSubcategory" : "enterprise-system-&-solutions", "dataQualityScore" : 0.7777778, "_score" : 767.8883, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ecc3074d8ee00a0ebb2d2", "title" : "Intern - Digital Automation and Solutions Team", "company" : "Micron", "industry" : "Technology", "salary" : { "min" : 12000.0, "max" : 18000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in Singapore's technology sector, adjusted for company size and industry." }, "location" : "Fab 10N/X, Singapore", "locations" : [ "Fab 10N/X, Singapore" ], "timestamp" : "2026-06-15T23:06:05.695", "fingerprint" : "6cecb369ee94af60ec5fd5be35377b063cc44d86289a447ee0d7ffb402dfef7a", "source" : "workday", "language" : "en", "applyUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Fab-10NX-Singapore/Intern---Digital-Automation-and-Solutions-Team_JR102272", "externalId" : "JR102272", "industryFunction" : { }, "locationPoint" : "20.16542,-88.46398", "structuredLocations" : [ { "country" : "Singapore", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Singapore", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "**Our vision is to transform how the world uses information to enrich life for all.** Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. ## **Project Title:** Warehouse Intelligence System Development and Visualization for Storage Optimization ## **Project Description:** Modern semiconductor manufacturing warehouses require efficient storage utilization and real-time visibility of inventory locations. This project focuses on the design and development of a warehouse intelligence system that enhances visibility into storage occupancy, inventory positioning, and accessibility without reliance on enterprise transactional systems for routine queries. The objective of this project is to provide the intern with hands-on exposure to system design, data engineering, and visualization techniques through the development of an end-to-end solution—from database structuring to dashboard creation—within a manufacturing environment. ## **Objective of the Project:** * Develop an understanding of warehouse storage structures and data modeling approaches * Apply system design principles to translate operational scenarios into structured digital solutions * Gain exposure to visualization techniques for real-time decision-making in manufacturing environments ## **Project Scope:** * Design a structured database schema by identifying relevant data fields related to inventory, storage locations, and quantities * Define inventory tracking methodologies and map logical representations of physical storage locations * Develop a visualization dashboard using tools such as Power BI, Tableau, or equivalent to present storage occupancy and accessibility * Establish quantifiable metrics such as space utilization, storage density, and retrieval efficiency, and implement them within the solution * Develop a simulation model to represent storage flows and interactions across different warehouse zones * Analyze existing warehouse process flows and translate them into system requirements for solution design * Document system architecture, including data flow and component structure, to enable maintainability and knowledge transfer ## **Learning Opportunities:** * Exposure to database design, data modeling, and systems architecture * Experience in developing visualization dashboards for operational insights * Understanding of warehouse storage concepts and inventory tracking methodologies * Introduction to simulation modeling in a manufacturing environment * Opportunity to apply problem-solving and analytical thinking to real-world engineering challenges ## **Deliverables:** * Structured database schema for warehouse inventory and storage tracking * Functional visualization dashboard displaying storage occupancy, item locations, and access indicators * Defined and implemented warehouse performance metrics (e.g., space utilization, storage density) * Simulation model representing warehouse storage flow and layout interactions * Comprehensive documentation of system design, architecture, and data flow ## **Impact of Project:** The project will contribute to improved visibility of warehouse storage utilization and provide a structured framework for data-driven decision-making, enhancing efficiency in inventory management and storage planning. ## **Skillsets Required:** * Basic knowledge of databases (SQL or equivalent) * Familiarity with at least one data visualization tool (e.g., Power BI, Tableau) * Understanding of system design concepts * Analytical and structured problem-solving skills * Programming exposure (e.g., Python) is an added advantage ## **Course of Interest:** * Computer Science * Data Engineering * Industrial Engineering * Information Systems or related disciplines **About Micron Technology, Inc.** We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life _for all_. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact [hrsupport_sg@micron.com](mailto:hrsupport_jp@micron.com) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.", "summaryDescription" : "Intern - Digital Automation and Solutions Team at Micron", "postedDate" : "2026-06-11T21:00:22.296", "createdAt" : "2026-06-14T21:00:22.256", "lastUpdated" : "2026-06-15T23:06:05.695", "ingestTimestamp" : "2026-06-14T21:00:22.256", "mongoId" : "6a2ecc3074d8ee00a0ebb2d2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Fab-10NX-Singapore/Intern---Digital-Automation-and-Solutions-Team_JR102272", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "junior", "dataQualityScore" : 0.8888889, "_score" : 765.4599, "daysOld" : 4, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a16291b58b93c861e959d55", "title" : "Digital Automation Developer 1", "company" : "HDR", "salary" : { "min" : 68000.0, "max" : 92000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Digital Automation Developer in Omaha, adjusted for company size and industry." }, "location" : "United States-Nebraska-Omaha", "locations" : [ "United States-Nebraska-Omaha" ], "timestamp" : "2026-06-15T09:18:19.714", "fingerprint" : "a8c7d4090fb557541357b39acfbe07b192ef9742014990a140343a839ec65ece", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=783313", "externalId" : "783313", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Nebraska-Omaha", "summaryDescription" : "Digital Automation Developer 1 at HDR", "createdAt" : "2026-06-14T02:57:31.264", "lastUpdated" : "2026-06-15T09:18:19.714", "ingestTimestamp" : "2026-06-14T02:57:31.264", "mongoId" : "6a16291b58b93c861e959d55", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 68000, "salaryAnnualMax" : 92000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "_score" : 760.2731, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c8baf74d8ee00a0973790", "title" : "Technical Program Manager, Robotics Data", "company" : "Foundry Robotics", "industry" : "People", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-16T00:36:56.929", "fingerprint" : "f5454741bc84650867a28fb80cb2686ada5479387b9b38fb91be06547404d0af", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/foundry-robotics/284bfc0c-97c3-45bf-852f-fca705a43d4b/application", "externalId" : "284bfc0c-97c3-45bf-852f-fca705a43d4b", "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", "experienceLevel" : "Manager", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Data architecture", "QA program management", "Standardization", "Stakeholder reporting", "Cross-functional input", "Program metrics tracking", "Data governance", "Compliance" ], "hardSkillsList" : [ "Rig calibration", "Drift detection", "Data curation", "Data validation", "Data reporting", "Task spec versioning", "Metadata completeness", "Root cause analysis", "SLA attainment" ], "hardSkills" : [ { "name" : "Rig calibration", "level" : "intermediate" }, { "name" : "Drift detection", "level" : "intermediate" }, { "name" : "Data curation", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data reporting", "level" : "intermediate" }, { "name" : "Task spec versioning", "level" : "intermediate" }, { "name" : "Metadata completeness", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "SLA attainment", "level" : "intermediate" } ], "majorSkills" : "Robotics data, Data collection program, QA systems, Rig management", "majorSkillsList" : [ "Robotics data", "Data collection program", "QA systems", "Rig management" ], "coreResponsibilities" : "Manage rig fleet end-to-end, Own rig calibration cadence, Detect rig drift, Define success criteria, Translate data needs, Author SOPs, Own new task ramp-up, Pilot batch design, Sign-off quality gates, Curate gold-standard demos, Run post-capture QA, Run pre-delivery validation, Track diversity and coverage, Run daily capture logs, Run weekly dataset reporting, Own task spec versioning, Coordinate SOP updates, Coordinate retraining triggers, Mark data v1/v2, Own 48-hour handoff SLA, Stage data, Ensure upload integrity, Enforce episode schema, Ensure metadata completeness, Run RCA when batches rejected, Close loop with floor, Define program-level OKRs, Report program-level OKRs, Own data governance, Own data compliance", "teamCollaboration" : "Interface with model team; Interface with frontier labs; Partner with Operations Manager; Cross-functional environment; Work with researchers; Work with engineers", "projectManagementSkills" : [ "Program management", "Asset tracking", "Vendor relationships", "Lifecycle management", "SLA management", "OKRs" ], "domainKnowledge" : "AI-native robotics; Robotics manufacturing; Assembly automation; Foundation models; VLA models; Computer vision; Sensor calibration; Robotics data pipelines; Data governance; Data handling standards", "domainList" : [ "ai-native-robotics", "robotics-manufacturing", "assembly-automation", "foundation-models", "vla-models", "computer-vision", "sensor-calibration", "robotics-data-pipelines", "data-governance", "data-handling-standards" ], "domainSpecificKnowledge" : [ "AI-native robotics", "Robotics manufacturing", "Assembly automation", "Foundation models", "VLA models", "Computer vision", "Sensor calibration", "Robotics data pipelines", "Data governance", "Data handling standards" ], "toolProficiency" : [ "GoPros", "VR headsets", "VR controllers", "UMI grippers" ], "communicationSkills" : "Stakeholder updates; Dataset reporting", "documentationSkills" : "Author SOPs; Task spec documentation", "problemSolvingSkills" : "Root cause analysis; Scrappy problem solving", "outcomesObjectives" : "Deliver rigorous dataset; Deliver scalable dataset; Meet 48-hour handoff SLA; Achieve usable hours delivered; Achieve mix accuracy; Achieve SLA attainment", "qualificationsBasic" : "3-5 years as PM or TPM, Exposure to hardware, Exposure to data pipelines, Exposure to physical workflows, Build data collection programs from scratch, Improve existing data collection programs, Own task specs, Own QA programs, Own standardization, SQL proficient, Python proficient, Build own dashboards, Track program metrics, Improve program metrics, Provide technical input, 48-hour handoff SLA", "qualificationsPreferred" : "Experience supporting vendor relationships, Experience supporting hardware supplier relationships, Exposure to robotics, Exposure to VLA models, Exposure to foundation model training data, Scale data collection program from prototype, Scale data collection program to high-volume production, Familiarity with computer vision, Familiarity with sensor calibration, Familiarity with robotics data pipelines", "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT US Foundry Robotics is building an AI-native robotics manufacturing company focused on deploying advanced assembly and production capability for leading robotics companies and national-security-critical hardware. Basically, we’re building robots that build robots. We are reimagining manufacturing through advanced robotics. Our mission is to rebuild the American manufacturing industry as an AI-first, assembly-focused, dual-use contract manufacturer. We aim to empower manufacturers with intelligent, efficient, and adaptable robotic systems that redefine productivity and quality. THE ROLE This role is for a Technical Program Manager who thrives on turning model team requirements into production data, equally comfortable architecting QA systems from first principles and calibrating a rig on the floor. You will define what gets captured, how it lands, and whether it is usable, from early task spec through pre-delivery validation. You will stand up the data collection program from scratch and drive rapid build-test-learn cycles to deliver a dataset that is both rigorous and scalable. You will be the day-to-day interface with our model team and the frontier labs we deliver to, and the source of truth for hours collected, hours delivered, and hours usable. You will partner closely with the Operations Manager, Robotics Data, who owns the workforce, floor execution, and daily fleet readiness. KEY RESPONSIBILITIES - Manage the rig fleet end-to-end (UMI grippers, GoPros, VR headsets and controllers), including procurement, lifecycle, asset tracking, spares, and vendor relationships - Own rig calibration cadence and drift detection, including GoPro intrinsics, fisheye calibration, UMI gripper width drift, and per-operator VR eye-tracking calibration - Define success criteria with the model team, translating high-level data needs into rejection rules an assembler can apply consistently - Author SOPs and hand them to the Operations Manager for floor execution - Own new task ramp-up, including spec, SOP, pilot batch design, and quality gate sign-off before full production - Curate gold-standard demos (20–50 reference demos per task), maintained against drift - Run post-capture QA (sampling + success classifier) and pre-delivery validation against model team spec - Track diversity and coverage across task variants, object positions, lighting conditions, and operator styles - Run daily capture logs and weekly dataset reporting to model and research stakeholders, including hours captured, hours usable, mix vs. target, top rejection reasons, and blockers - Own task spec versioning, coordinating SOP updates, retraining triggers, and data v1/v2 marking when the model team changes a spec - Own the 48-hour handoff SLA, including staging, upload integrity, episode schema enforcement, and metadata completeness (operator ID, task ID, success label, timestamp written atomically) - Run RCA when batches get rejected and close the loop with the floor - Define and report against program-level OKRs for usable hours delivered, mix accuracy, and SLA attainment - Own data governance and compliance, including episode-level metadata for auditability, retention and deletion policies, and adherence to data handling standards required by frontier lab partners WHAT WE'RE LOOKING FOR - 3–5 years as a strong PM or TPM with exposure to hardware, data pipelines, or physical workflows - Proven ability to build data collection or technical operations programs from the ground up and improve on existing ones - Comfortable owning task specs, QA programs, and standardization - Equally effective at a desk and on the floor, with deep hands-on experience calibrating a rig one hour and writing a stakeholder update the next - SQL or Python proficient enough to pull your own data and build your own dashboards - Track record tracking and improving program metrics (usable hours, mix accuracy, SLA attainment, rejection rates) - Experience providing technical input in a cross-functional environment with researchers and engineers - Collaborative by nature, you consider downstream impacts on operators, model teams, and infrastructure when making program decisions - Bias toward action, scrappy problem solving, and moving fast without sacrificing rigor NICE TO HAVE (NOT REQUIRED) - Experience supporting vendor or hardware supplier relationships - Exposure to robotics, VLA models, or foundation model training data - Experience scaling a data collection program from prototype to high-volume production - Familiarity with computer vision, sensor calibration, or robotics data pipelines WHY JOIN US? This is one of the only places where world-class manufacturing operators, mechanical engineers, robotics researchers, and software engineers sit in the same room — building production systems together. We are committed to being deeply embedded in the U.S. industrial base. Our focus is simple: build adaptive robotic assembly systems that make American manufacturing scalable, resilient, and competitive again. If you want to run a mature, well-defined commercial org, this may not be the role. If you want to build the commercial engine that brings AI-driven manufacturing to every industrial and energy customer in America — this is it. The base salary range for this full-time position in the location of San Francisco is: $150,000—$250,000 USD Compensation packages at Foundry Robotics for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Foundry Robotics employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, and generous PTO.", "summaryDescription" : "Technical Program Manager, Robotics Data at Foundry Robotics. Skills: Robotics data, Data collection program, QA systems, Rig management. Manage rig fleet end-to-end. Own rig calibration cadence", "createdAt" : "2026-06-14T19:28:00.682", "lastUpdated" : "2026-06-16T00:36:56.929", "ingestTimestamp" : "2026-06-14T19:28:00.682", "mongoId" : "6a2c8baf74d8ee00a0973790", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Rig calibration", "Drift detection", "Data curation", "Data validation", "Data reporting", "Task spec versioning", "Metadata completeness", "Root cause analysis", "SLA attainment", "Robotics data", "Data collection program", "QA systems", "Rig management", "Data architecture", "QA program management", "Standardization", "Stakeholder reporting", "Cross-functional input", "Program metrics tracking", "Data governance", "Compliance", "Program management", "Asset tracking", "Vendor relationships", "Lifecycle management", "SLA management", "OKRs", "AI-native robotics", "Robotics manufacturing", "Assembly automation", "Foundation models", "VLA models", "Computer vision", "Sensor calibration", "Robotics data pipelines", "Data handling standards", "GoPros", "VR headsets", "VR controllers", "UMI grippers" ], "skillCount" : 40, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 757.9726, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176ba74d8ee00a0c1ab33", "title" : "Senior Mechatronics & Robotics Technician", "company" : "Amazon.com Services LLC", "industry" : "Facilities, Maintenance, Real Estate, Real Estate/Facilities, operations", "salary" : { "min" : 40.0, "max" : 48.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Bernardino, California, USA", "locations" : [ "San Bernardino, California, USA" ], "timestamp" : "2026-06-15T22:12:52.714", "fingerprint" : "b3b4e063e90074cfe03f8ef0034d939b17dcff9c76f196017ab28aa3c263789a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10415153/apply", "externalId" : "d6c43c3b-cfff-4e0b-a22f-7c14ab01589e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Bernardino", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.8253019,-116.0833144" } ], "locationText" : "San Bernardino, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Mechatronics, Robotics, Industrial automation, PLC programming, Robotic systems integration, Electrical troubleshooting, Mechanical troubleshooting, CAD software, Machine vision, Industrial networking", "professionalSkills" : [ "Troubleshooting", "System integration", "Preventative maintenance" ], "hardSkillsList" : [ "PLC programming", "Robotics integration", "Electrical repair", "Mechanical repair" ], "hardSkills" : [ { "name" : "PLC programming", "level" : "intermediate" }, { "name" : "Robotics integration", "level" : "intermediate" }, { "name" : "Electrical repair", "level" : "intermediate" }, { "name" : "Mechanical repair", "level" : "intermediate" } ], "majorSkills" : "Mechatronics, Robotics, Automation systems", "majorSkillsList" : [ "Mechatronics", "Robotics", "Automation systems" ], "coreResponsibilities" : "Install, maintain, and repair mechatronic and robotic systems, Troubleshoot and diagnose electrical, mechanical, and software issues, Perform preventative maintenance on equipment, Integrate new robotic systems into existing production lines, Develop and implement automation solutions, Create and maintain technical documentation, Train other technicians on equipment operation and maintenance, Collaborate with engineering teams on system design and", "teamCollaboration" : "Engineering teams", "domainKnowledge" : "Industrial automation systems; Robotic systems; PLC programming; Machine vision systems", "domainList" : [ "industrial-automation-systems", "robotic-systems", "plc-programming", "machine-vision-systems" ], "domainSpecificKnowledge" : [ "Industrial automation systems", "Robotic systems", "PLC programming", "Machine vision systems" ], "toolProficiency" : [ "CAD software" ], "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "qualificationsBasic" : "5+ years of experience in mechatronics or robotics, Experience with industrial automation systems, Experience with PLC programming and troubleshooting, Experience with robotic systems integration, Experience with electrical and mechanical troubleshooting, Experience with CAD software", "qualificationsPreferred" : "Bachelor's degree in Mechatronics, Robotics, or related field, Experience with Python or other scripting languages, Experience with machine vision systems, Experience with industrial networking protocols, Experience with preventative maintenance programs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Operations is at the heart of Amazon’s business. We are known for our speed, accuracy, and exceptional service. Our buildings deliver tens of thousands of products to hundreds of countries worldwide, every day. Reliability Maintenance & Engineering (RME) are the business partners that work tirelessly behind the scenes to make it all happen. We drive continuous improvement, and maintain all of the Robotics and Material Handling Equipment (MHE) to ensure our customers are met with the Amazon smile. Come join us on our journey! About the Role: As a Senior Mechatronics & Robotics Technician, you will lead service technicians in the installation and repair of automated packaging and distribution equipment. You will support the Operations Maintenance team by designing solutions for difficult problems and managing projects. You will help train and mentor service technicians and contract technicians. What Do We Offer? Amazon offers competitive compensation packages including comprehensive healthcare benefits starting on Day 1, matching 401(k) program, and up to 20 weeks of paid parental leave. But wait, there is more: We provide lightweight fire-resistant daily wear and composite toe safety shoes for your safety! Key job responsibilities Key job responsibilities include, but are not limited to: - You will maintain and oversee material handling equipment (MHE) and facility equipment, such as Fire Life Safety (FLS) systems - You will lead a team of service technicians and develop training plans, as well as oversee vendors making planned and emergency repairs - You will install, maintain, and troubleshoot relay logic, ladder diagrams, control components, photo-eyes, motor starters, limit switches, proximity sensors, solenoids, etc. - You will create and close out work orders with data including labor hours, equipment maintenance, and parts used, as well as develop job plans for emergency repair of critical assets- - You must be able to move up to 49lbs, stand and walk during shifts lasting up to 12 hours, climb ladders and gangways safely, and without limitation, as well as perform regular bending, lifting, stretching, and reaching both below the waist and above the head Please note that while we strive to accommodate employees' preferences for shift assignments, due to operational requirements and scheduling constraints, we cannot guarantee a specific shift assignment. Basic Qualifications: - High school or equivalent diploma - 1+ years of Microsoft Office products and applications experience - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - 4+ years of conducting predictive and preventative maintenance procedures experience - 4+ years of repairing material handling equipment (MHE), automated conveyor systems, or related mechanical/controls equipment experience - 4+ years of reading blueprints and electrical schematics experience - 4+ years of electrical and electronic principles experience - 4+ years of demonstrating safety standards experience - 4+ years of troubleshooting and diagnostics of material handling equipment (MHE) experience Preferred Qualifications: - Associate's degree in Mechatronics or a related technical field - Experience leading engineering teams as a mentor or tech lead - Experience working with material handling equipment (MHE) safety standards in accordance with OEM requirements - 2+ years of programmable logic controls (PLC) programming experience - 2+ years of robotics system components and controls experience 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. 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 Bernardino - 40.00 - 48.00 USD hourly", "summaryDescription" : "Senior Mechatronics & Robotics Technician at Amazon.com Services LLC. Skills: Mechatronics, Robotics, Automation systems. Install, maintain, and repair mechatronic and robotic systems. Troubleshoot and diagnose electrical, mechanical, and software issues", "postedDate" : "2026-06-14T19:37:11.503", "createdAt" : "2026-06-14T19:37:11.503", "lastUpdated" : "2026-06-15T22:12:52.714", "ingestTimestamp" : "2026-06-14T19:37:11.503", "mongoId" : "6a2176ba74d8ee00a0c1ab33", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10415153/apply", "salaryAnnualMin" : 83200, "salaryAnnualMax" : 99840, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "PLC programming", "Robotics integration", "Electrical repair", "Mechanical repair", "Mechatronics", "Robotics", "Automation systems", "Troubleshooting", "System integration", "Preventative maintenance", "Industrial automation systems", "Robotic systems", "Machine vision systems", "CAD software" ], "skillCount" : 14, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 753.00916, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca05374d8ee00a09a1e42", "title" : "(Intern) Data Automation", "company" : "Tacto", "industry" : "Student & Graduate Internships", "salary" : { "min" : 18000.0, "max" : 24000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for entry-level internships in the technology industry in Munich, Germany, adjusted for the specific company and role." }, "location" : "Munich", "locations" : [ "Munich" ], "timestamp" : "2026-06-16T04:40:04.611", "fingerprint" : "64559baef808cc83d63382ba91da69780cb305adfbce6dc5e9498750581c86f2", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/tacto/6b175aec-f934-4e19-9c0a-3bbc6c3b4825/application", "externalId" : "6b175aec-f934-4e19-9c0a-3bbc6c3b4825", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Munich", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1371079,11.5753822" } ], "locationText" : "Munich, Germany", "employmentType" : "INTERNSHIP", "remoteFriendly" : false, "rawDescription" : "YOUR IMPACT As part of Solution Engineering at Tacto, you'll bridge our powerful platform with measurable customer value through data expertise. Working directly with customers and leads, you'll understand their unique supply chain challenges and implement tailored technical solutions. By integrating customer procurement data and configuring the platform to match their processes, you'll drive adoption and showcase immediate ROI (even during the deal building process). This technical role combines data engineering with customer interaction – you'll not only build robust data pipelines but also guide customers through implementation, helping transform our technology into business impact for Europe's industrial backbone. Your work will directly influence deal conversions, customer value, product evolution, and our company's growth trajectory. YOUR TASKS (TRACK SPECIFIC) Solution Engineering Track - Data Integration & Pipeline Development: Design and implement stable, scalable pipelines that transform customer procurement data into actionable insights within Tacto's platform. - Technical Onboarding Leadership: Drive the technical implementation process from kickoff to completion, working with customer IT teams to ensure smooth integration and rapid time-to-value. - Solution Configuration: Customize the Tacto platform to match each customer's unique requirements, applying best practices in procurement and supplier management. - Continuous Improvement: Develop reusable components and standardized approaches that increase onboarding efficiency while maintaining quality and customer satisfaction. Value Engineering Track - Value Case Development & Quantification: Analyze customer ERP and procurement data to identify and quantify concrete savings and risk-reduction potential for our leads during deal building. . - Value Storytelling & Stakeholder Presentation: Translate findings into compelling negotiation dossiers, savings cases and presentations that make Tacto's ROI tangible for procurement and executive stakeholders – and support Sales in turning value into deal momentum. - Vibe Code @TactoContinuous Improvement: Develop reusable analytical frameworks and AI-native workflows that scale Proof of ValuePoV delivery and extend our demo app with compelling new value cases in alignment with our product team. General (both tracks) - Cross-Functional Collaboration: Work closely with Customer Success, Product, and Engineering to deliver integrated solutions and feed customer insights back into our product roadmap. - Become AI Native: Proactively identify opportunities to leverage AI to accelerate your work, experiment with new approaches, and share successful workflows – contributing to Tacto's culture of high-velocity execution and innovation. YOUR PROFILE Now you may wonder what experiences and skills you need for this role. We believe that problem-solving, creativity, and drive are more important than tools that can be picked up. However, the following references will give a guideline of what experiences we think might be helpful.link - You have strong business acumen - You enjoy getting to know customers and / or leads, understanding their needs and achieving results together with an interdisciplinary team - You have experience in programming with SQL - You are familiar with importing, cleansing, validating, transforming and exploring data - You have worked with BI tools such as PowerBI or Tableau - You have strong communication skills in both German and English OUR BACKGROUND Tacto is building the intelligence layer that connects AI to the physical world of manufacturing, starting with procurement. AI is transforming every industry, but it stops at the factory gate. The knowledge that holds manufacturing together - part costs, suppliers, materials - is scattered across systems and people. Over 50% of a product's cost originates from suppliers, making procurement the single largest cost lever in manufacturing and the missing connection between the digital and the physical world. Yet it still runs on Excel and legacy systems. We're changing that with our Procurement Intelligence Platform, trusted by hundreds of companies running billions of Euros of material. Based in Munich, we are 100+ passionate builders who are in-office, with high expectations, fast growth, and a lot of fun. We are supported by >€50m from Sequoia, Index, and Europe's leading tech entrepreneurs and industry veterans. WHY IT MATTERS Manufacturing forms Europe's economic backbone, driving a fourth of Europe's GDP and providing over 30% of jobs. These hidden champions and global market leaders manufacture the physical world around us, from the machines that build our cities to the medical devices that save lives. But the world is changing. The US dominates the digital world of bits. China is scaling the world of atoms, manufacturing at unprecedented speed and scale. Geopolitics are more uncertain than ever. Europe's strength lies in its deep industrial knowledge through generations of engineering. Manufacturing worldwide runs on European machines and software. But that heritage is only an advantage if we leverage it in the age of AI. Tacto builds the AI that connects Atoms and Bits, empowering our Industrial Base to Stay Stronger and building a lighthouse for European tech. WHAT WE OFFER The people at Tacto are passionate about building the organization, growing themselves, and our product while having fun and being real. We have high expectations, great talent density, and a culture where your ambition, performance, and agency are what count - not where you come from or how big your ego is. You'll grow at the forefront of AI, have real ownership and impact, and be surrounded by the best people in their field who challenge you and make you better every day. That is demanding and rewarding, but that's where we thrive. Besides that you have: - Money: Competitive salary & equity in the company with real upside, so you are invested in our success - Workplace: A vibrant in-office culture (> 4 days/week) in a beautiful office in central Munich - Development: A development budget and regular exposure to exceptional people, e.g., Lunch & Learns, peer mentoring, external speakers - Freetime: 26 + 4 vacation days per year (4 fixed “company rest days”) as well as regular off-sites and team events - Health: Wellpass membership, of course, a fruit basket (!), and access to Jobrad, for your health - Family & Social Security: Voluntary pension contribution, voluntary KITA subsidy for your children Tacto is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability, or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.", "summaryDescription" : "(Intern) Data Automation at Tacto", "createdAt" : "2026-06-14T20:12:22.841", "lastUpdated" : "2026-06-16T04:40:04.611", "ingestTimestamp" : "2026-06-14T20:12:22.841", "mongoId" : "6a2ca05374d8ee00a09a1e42", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "_score" : 748.1724, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f6c0", "title" : "Internship – Product & AI Engineering (Agentic Automation)", "company" : "Mercedes-Benz AG", "industry" : "Manufacturing", "salary" : { "min" : 20000.0, "max" : 30000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in the automotive industry in Stuttgart, Germany, adjusted for seniority and company size." }, "location" : "Germany-Baden-Württemberg-Stuttgart-Vaihingen", "locations" : [ "Germany-Baden-Württemberg-Stuttgart-Vaihingen", "Am Wallgraben 114, , Stuttgart-Vaihingen" ], "timestamp" : "2026-06-15T12:23:57.208", "fingerprint" : "c21e6bb976e800a54216ee6693ce27780f5cdcdc7dfa90e7a4a65b658122d9cb", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=896293", "externalId" : "896293", "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", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, JavaScript, AI, Machine learning, Data products", "professionalSkills" : [ "Product development", "System interfaces", "Project support", "PMO support", "Task structuring", "Progress tracking", "Status updates", "Workshop preparation" ], "hardSkillsList" : [ "Agentic AI architectures", "End-to-end orchestration", "Cooperating AI agents", "Deterministic logic", "Orchestration workflows", "Controlled automation", "Explainability" ], "softSkillsList" : [ "Motivation" ], "hardSkills" : [ { "name" : "Agentic AI architectures", "level" : "intermediate" }, { "name" : "End-to-end orchestration", "level" : "intermediate" }, { "name" : "Cooperating AI agents", "level" : "intermediate" }, { "name" : "Deterministic logic", "level" : "intermediate" }, { "name" : "Orchestration workflows", "level" : "intermediate" }, { "name" : "Controlled automation", "level" : "intermediate" }, { "name" : "Explainability", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Motivation" } ], "majorSkills" : "Product Engineering, AI Engineering, Agentic Automation", "majorSkillsList" : [ "Product Engineering", "AI Engineering", "Agentic Automation" ], "coreResponsibilities" : "Contribute to product, Apply AI architectures, Apply end-to-end orchestration, Integrate agent workflows, Integrate system interfaces, Support implementation of PoC components, Support testing of PoC components, Combine technical contributions, Combine PMO support, Structure tasks, Track progress, Prepare status updates, Prepare workshops, Collaborate with teams, Contribute ideas, Turn ideas into solutions", "teamCollaboration" : "Software teams; Data teams; AI teams; Business teams; Cross-functional teams; International teams", "projectManagementSkills" : [ "Agile IT environment", "Planning", "Structuring of tasks", "Dependency tracking", "Status reporting" ], "domainKnowledge" : "After-sales process; Agent-based systems; Multi-step decision flows; Technical proof-of-concept", "domainList" : [ "after-sales-process", "agent-based-systems", "multi-step-decision-flows", "technical-proof-of-concept" ], "domainSpecificKnowledge" : [ "After-sales process", "Agent-based systems", "Multi-step decision flows", "Technical proof-of-concept" ], "communicationSkills" : "Stakeholder updates; Decision-ready documentation", "documentationSkills" : "Documentation", "continuousLearning" : "Learn agent-based systems; Learn AI agents interaction; Learn proof-of-concept delivery; Learn international collaboration; Learn project management; Learn documentation preparation", "innovationCreativity" : "Innovation-driven product; Innovative topics", "specialRequirements" : "Mandatory internship", "qualificationsBasic" : "Ongoing studies in Business Informatics, Ongoing studies in Data Science, Ongoing studies in Engineering, Ongoing studies in Computer Science, Mandatory internship", "qualificationsPreferred" : "Initial experience with AI is a plus, German is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "What this is about You will contribute to an innovation-driven product that applies agentic AI architectures and end-to-end orchestration to a complex core after-sales process. The focus is on combining cooperating AI agents, deterministic logic, and orchestration workflows to support large-scale, market-specific decisions in a transparent and governed way. Working on a real proof-of-concept in an enterprise environment, you will help integrate agent workflows and system interfaces that enable controlled automation and explainability. Please note that we expect to provide an initial response to all applicants around mid‑June. What you will do Work hands-on on an AI-driven proof-of-concept for core after-sales processes Support the implementation and testing of PoC components such as data products, machine learning models, agent workflows, or UI elements Combine technical contributions with project and PMO support (planning, coordination, documentation) Help structure tasks, track progress, and prepare status updates and workshops Collaborate closely with software, data, AI, and business teams Contribute ideas and help turn them into working solutions What you will learn How agent-based systems are designed, orchestrated, and integrated into real enterprise processes How AI agents, deterministic business logic, and workflow orchestration interact in multi-step decision flows How to structure and deliver a technical proof-of-concept, from architecture and implementation to validation and presentation How to collaborate with international, cross-functional teams across multiple locations worldwide How project and delivery management (PMO) works in an agile IT environment, including planning and structuring of tasks, dependency tracking, and status reporting How to prepare decision-ready documentation and stakeholder updates, balancing technical detail with management-level clarity The activity can begin from July 2026. What you bring Ongoing studies in Business Informatics, Data Science, Engineering, Computer Science, or a comparable field Strong interest in AI, software development, and modern IT solutions; initial experience with AI is a plus Programming experience (e.g. Python, JavaScript) A structured mindset, curiosity, and motivation to work on innovative topics Very good English skills; German is a plus Please note that your internship at this location must be mandatory. Additional Information: We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, proof of mandatory internship if applicable, 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-zentrale@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" : "Internship – Product & AI Engineering (Agentic Automation) at Mercedes-Benz AG. Skills: Product Engineering, AI Engineering, Agentic Automation. Contribute to product. Apply AI architectures", "createdAt" : "2026-06-14T07:45:53.947", "lastUpdated" : "2026-06-15T12:23:57.208", "ingestTimestamp" : "2026-06-14T07:45:53.947", "mongoId" : "6a191e7758b93c861e39f6c0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Agentic AI architectures", "End-to-end orchestration", "Cooperating AI agents", "Deterministic logic", "Orchestration workflows", "Controlled automation", "Explainability", "Motivation", "Product Engineering", "AI Engineering", "Agentic Automation", "Product development", "System interfaces", "Project support", "PMO support", "Task structuring", "Progress tracking", "Status updates", "Workshop preparation", "Agile IT environment", "Planning", "Structuring of tasks", "Dependency tracking", "Status reporting", "After-sales process", "Agent-based systems", "Multi-step decision flows", "Technical proof-of-concept" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 738.7256, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "69c94a6e9bc74574cbbb3874", "title" : "Mechatronics & Robotics Technician", "company" : "Amazon.com Services LLC", "industry" : "Facilities, Maintenance, Real Estate, Real Estate/Facilities, operations", "salary" : { "min" : 29.0, "max" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Spartanburg, South Carolina, USA", "locations" : [ "Spartanburg, South Carolina, USA" ], "timestamp" : "2026-06-15T05:42:27.630", "fingerprint" : "c92bca5b03f6dfe04c6ec19854a69e730d5fdb45fc3e8c5e105a49989ea14cbd", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3193504/apply", "externalId" : "0277036d-6403-4910-ab50-8a588bf411f2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Spartanburg", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.9498007,-81.9320157" } ], "locationText" : "Spartanburg, South Carolina, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "experienceMinYears" : 2, "technicalSkills" : "Robotics, Automation, Mechanical systems, Electrical systems, PLC programming, Industrial automation controls, Python, Scripting languages, CAD software", "professionalSkills" : [ "Troubleshooting", "Repair" ], "hardSkillsList" : [ "Mechatronics", "Robotics", "Automation", "Mechanical systems", "Electrical systems", "PLC programming", "Industrial automation controls" ], "hardSkills" : [ { "name" : "Mechatronics", "level" : "intermediate" }, { "name" : "Robotics", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Mechanical systems", "level" : "intermediate" }, { "name" : "Electrical systems", "level" : "intermediate" }, { "name" : "PLC programming", "level" : "intermediate" }, { "name" : "Industrial automation controls", "level" : "intermediate" } ], "majorSkills" : "Mechatronics, Robotics, Automation", "majorSkillsList" : [ "Mechatronics", "Robotics", "Automation" ], "coreResponsibilities" : "Maintain and repair robotics and automation equipment, Troubleshoot mechanical and electrical issues, Perform preventative maintenance on equipment, Assist with the installation of new equipment, Support engineering teams with automation projects, Document maintenance and repair activities", "teamCollaboration" : "Engineering teams", "domainKnowledge" : "Robotics; Automation; Mechatronics", "domainList" : [ "robotics", "automation", "mechatronics" ], "domainSpecificKnowledge" : [ "Robotics", "Automation", "Mechatronics" ], "toolProficiency" : [ "CAD software" ], "documentationSkills" : "Maintenance documentation; Repair documentation", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "qualificationsBasic" : "2+ years of experience in robotics or automation, Experience with mechanical and electrical systems, Experience with troubleshooting and repair of automated systems, Experience with PLC programming, Experience with industrial automation controls", "qualificationsPreferred" : "Associate's degree in Mechatronics, Robotics, or related field, Experience with Python or other scripting languages, Experience with CAD software", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Maintenance at Amazon Operations is at the heart of Amazon’s business. We are known for our speed, accuracy, and exceptional service. Our buildings deliver tens of thousands of products to hundreds of countries worldwide, every day. Reliability Maintenance & Engineering (RME) are the business partners that work tirelessly behind the scenes to make it all happen. We drive continuous improvement and maintain all of the Robotics and Material Handling Equipment (MHE) to ensure our customers are met with the Amazon smile. Come join us on our journey! About the Role As a Mechatronics & Robotics Technician, you will use your skills to support the Operations Maintenance team in repairing and maintaining material handling equipment and pneumatic systems throughout the building. You will have the opportunity to install, maintain, and repair automated packaging and distribution equipment. In addition to developing your skills, you will mentor junior technicians to grow in their roles. What Do We Offer? Amazon offers competitive compensation packages including comprehensive healthcare benefits starting on Day 1, matching 401(k) program, and up to 20 weeks of paid parental leave. But wait, there is more: We provide lightweight fire-resistant daily wear and composite toe safety shoes for your safety! Here is what you can expect with the Reliability & Maintenance Engineering (RME) selection process for Mechatronics & Robotics Technicians: (Timeframe: Approximately 30-days) Step 1: Congratulations! You successfully submitted your application! Step 2: Amazon Recruiting will review your application and invite the most qualified candidate to complete a pre-employment assessment. Step 3: If you meet the role qualifications, you will receive an invitation from Amazon Recruiting (do-not-reply@criteriacorp.com) to begin your Criteria assessment. You have 5 days to complete. Step 4: Once you successfully meet the pre-employment assessment requirements, you will be invited to complete a video interview. Your video interview invitation will be from HireVue (interviews@hirevue.com) and you will have 7 days to record your interview. Step 5: Your video interview will be reviewed by the Amazon Hiring Team and you will be notified of next steps via email within 5 business days. Key job responsibilities Key job responsibilities include, but are not limited to: - You will promote a safe working environment by following all safety procedures - You will complete preventative maintenance routines with proper documentation - You will troubleshoot electrical and mechanical problems related to all Material Handling Equipment (MHE) which includes belts, motors, photo-eyes, relays, and more - You will maintain a positive working relationship across all of the Amazon Operations facility - You must be able to move up to 49lbs, stand and walk during shifts lasting up to 12 hours, climb ladders and gangways safely, and without limitation, as well as perform regular bending, lifting, stretching, and reaching both below the waist and above the head Please note that while we strive to accommodate employees' preferences for shift assignments, due to operational requirements and scheduling constraints, we cannot guarantee a specific shift assignment. Basic Qualifications: - High school or equivalent diploma - 1+ years of Microsoft Office products and applications experience - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - certification from Amazon's Mechatronics and Robotics Apprenticeship Program, or 2+ years of automated conveyor systems and controls experience - 2+ years of conducting predictive and preventative maintenance procedures experience - 2+ years of reading blueprints and electrical schematics experience - 2+ years of demonstrating safety standards experience - 2+ years of troubleshooting and diagnostics of material handling equipment (MHE) experience Preferred Qualifications: - Experience with robotic operation and maintenance - 2+ years of electrical and electronic principles experience - Associate's degree in Mechnical or Electrical - 2+ years of Mechanical or Electrical apprenticeship experience 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 starting pay for this position is listed below including the base pay rate plus the highest available shift differential which applies depending on the shift you select. As a total compensation company, you are eligible for additional earnings including overtime pay and performance bonuses. Final pay will be based on factors including shift selection and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, SC, Spartanburg - 29.00 - 30.00 USD hourly", "summaryDescription" : "Mechatronics & Robotics Technician at Amazon.com Services LLC. Skills: Mechatronics, Robotics, Automation. Maintain and repair robotics and automation equipment. Troubleshoot mechanical and electrical issues", "postedDate" : "2026-06-13T18:14:24.192", "createdAt" : "2026-06-13T18:14:24.192", "lastUpdated" : "2026-06-15T05:42:27.630", "ingestTimestamp" : "2026-06-13T18:14:24.192", "mongoId" : "69c94a6e9bc74574cbbb3874", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3193504/apply", "salaryAnnualMin" : 60320, "salaryAnnualMax" : 62400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Mechatronics", "Robotics", "Automation", "Mechanical systems", "Electrical systems", "PLC programming", "Industrial automation controls", "Troubleshooting", "Repair", "CAD software" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 738.42004, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a26586774d8ee00a021e37a", "title" : "Digital Transformation Program Manager – Smart Factory, Robotics and Automation", "company" : "Hewlett Packard Enterprise", "salary" : { "min" : 140000.0, "max" : 210000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Technology industry in Singapore, adjusted for company size and seniority." }, "location" : "Singapore, Central Singapore, Singapore", "locations" : [ "Singapore, Central Singapore, Singapore" ], "certifications" : [ "PMP Certified" ], "timestamp" : "2026-06-12T20:09:57.861", "fingerprint" : "5b8892bb71fbecbbc905cf5813e55524be1e4c818356029a866ffdb05a20a2d2", "source" : "workday", "language" : "en", "applyUrl" : "https://hpe.wd5.myworkdayjobs.com/Jobsathpe/job/Singapore-Central-Singapore-Singapore/Digital-Transformation-Program-Manager---Smart-Factory--Robotics-and-Automation_1205386-2", "externalId" : "1205386", "structuredLocations" : [ { "city" : "Singapore", "state" : "Central Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "1.2959845,103.7766186" } ], "locationText" : "Singapore, Central Singapore, Singapore", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "IoT, Robotics, SQL, Power BI", "professionalSkills" : [ "Project management", "Business impact analysis", "Financial forecasting", "Stakeholder relationship management", "Supply chain ERP", "MES", "Planning systems", "Manufacturing automation", "Operations management", "Supply chain management", "Logistics management", "Process improvement", "Digital solutions", "Strategic insights" ], "hardSkillsList" : [ "Data analysis", "Operational data analysis", "Integration technologies", "Integration protocols" ], "softSkillsList" : [ "Critical thinking", "Independent judgment", "Mentoring" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Operational data analysis", "level" : "intermediate" }, { "name" : "Integration technologies", "level" : "intermediate" }, { "name" : "Integration protocols", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" }, { "name" : "Independent judgment" }, { "name" : "Mentoring" } ], "majorSkills" : "Digital transformation, Robotics and automation, Smart factory, Program management", "majorSkillsList" : [ "Digital transformation", "Robotics and automation", "Smart factory", "Program management" ], "coreResponsibilities" : "Manage internal projects, Manage project financials, Meet or exceed approved budgets, Provide reliable financial forecasts, Manage stakeholder relationships, Manage upper-level stakeholder relationships, Manage project team, Manage internal resources, Manage external resources, Mentor project team members, Encourage skill development, Provide performance review input, Provide development recommendations, Identify challenges, Resolve challenges, Lead robotic automation projects, Lead program modules, Collaborate with business functions, Identify pain points, Recommend effective solutions, Design programs, Drive programs, Implement programs, Align with best practices, Ensure future-readiness, Drive project management activities, Support project management activities, Plan projects, Align stakeholders, Execute projects, Monitor projects, Implement projects, Assist in developing project charters, Assist in developing ROI analysis, Assist in developing presentation materials, Transition PoC into project, Take ownership of decision-making, Contribute innovative digital solutions, Contribute strategic insights, Research emerging technologies, Evaluate emerging technologies", "teamCollaboration" : "Cross-functional teams; Cross-functional initiatives; External customers/clients", "projectManagementSkills" : [ "Project management", "PMP Certified", "Risk management", "Post-implementation review", "Project lifecycle" ], "domainKnowledge" : "Smart Factory; Robotics; Automation; Industry 4.0; Manufacturing landscapes; Supply chain; Manufacturing operations; Electronics industry; High-tech industries", "domainList" : [ "smart-factory", "robotics", "automation", "industry-4-0", "manufacturing-landscapes", "supply-chain", "manufacturing-operations", "electronics-industry", "high-tech-industries" ], "domainSpecificKnowledge" : [ "Smart Factory", "Robotics", "Automation", "Industry 4.0", "Manufacturing landscapes", "Supply chain", "Manufacturing operations", "Electronics industry", "High-tech industries" ], "toolProficiency" : [ "EDIs", "APIs" ], "innovationCreativity" : "Innovative digital solutions", "problemSolvingSkills" : "Solve complex business issues; Root cause analysis", "qualificationsBasic" : "First Level University degree, 7+ years in project management roles", "qualificationsPreferred" : "Experience in complex manufacturing environments, Experience in electronics and high-tech industries, Experience in industry consulting, Experience in transformational roles", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Digital Transformation Program Manager – Smart Factory, Robotics and Automation This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office. **Who We Are:** Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. **Job Description:** **_Job Family Definition:_** Leads internal project to ensure that it meets all scope, time, budget and quality expectations, through planning, controlling and managing. Manages corporate and third-party vendor efforts to plan, build and implement solutions to internal problems and issues. **_Management Level Definition:_** Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Frequently contributes to the development of new ideas and methods. Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. Leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives. Acts as an expert providing direction and guidance to process improvements and establishing policies. Frequently represents the organization to external customers/clients. Exercises significant independent judgment to determine best method for accomplishing work and achieving objectives. May provide mentoring and guidance to lower-level employees. **_Responsibilities:_** 1\\. Manages internal projects * Budget as detailed in Impact section Large/ complex/ single or multiple regions. * May include detailed design of sponsors' high-level concept High risk. 2\\. Manages project financials including business impact * Meets or exceeds approved budgets. * Provides reliable financial forecasts to Management. 3\\. Manages stakeholder relationships * Manages upper-level stakeholder relationships. 4\\. Manages project team * Manages internal as well as external resources with a team size generally greater than 20 people from multiple countries. * Mentors and encourages skill development of project team members. * Provides detailed performance review input and development recommendations for team members. **_Additional Responsibilities:_** * Independently identifies and resolves both common and complex challenges, leading sophisticated Manufacturing Robotic Automation projects or key modules of large-scale programs within operations, supply chain management, and logistics domains. * Collaborate with business functions to identify pain points and recommend effective solutions that address the organisation’s specific challenges. * Designs, drives, and implements programs to elevate the overall maturity and effectiveness of manufacturing landscapes, ensuring alignment with industry best practices and future-readiness. * Drive or Support end-to-end project management activities — from ideation, planning, and stakeholder alignment to execution, monitoring, and implementation. Gain hands-on experience across the full project lifecycle including initiation, scheduling, risk management, and post-implementation review * The member is expected to assist in developing detailed project charters, ROI analysis, and presentation materials necessary to transition a PoC into a fully funded project. * Takes ownership of decision-making processes within projects, contributing innovative digital solutions and strategic insights to management teams. * The ability to research and evaluate emerging technologies relevant to manufacturing (beyond just robotics) to inform the digital roadmap. **_Education and Experience Required:_** * First Level University degree. * 7+ years in project management roles or in like roles/businesses. **_Knowledge and Skills:_** * Demonstrates an in-depth understanding of key Services' operational policies, processes and methodologies applicable to project management. * Speaks with authority to most layers of depth related to project management methods. * Makes use of and contributes to Services PM Profession community. * PMP Certified. **Required Skills:** * Deep understanding of supply chain ERP/MES/planning systems, with a strong preference for candidates who have extensive experience in complex manufacturing environments, particularly in electronics and high-tech industries. * Familiarity with Industry 4.0 and Smart Factory concepts, including the application of IoT and Robotics for manufacturing automation. * Expectation of basic proficiency in analyzing operational data (e.g., using SQL, Power BI, or similar data visualization tools) to measure the effectiveness of PoCs (e.g., measuring OEE or cycle time improvements). * Comprehensive knowledge of industry-standard integration technologies and protocols, such as EDIs and APIs. * A high level understanding in procurement, supply chain, or manufacturing operations, with a preference for candidates who have experience in industry consulting or transformational roles in these domains. * Proven track record of leading complex, cross-functional projects from design to implementation, with the ability to operate independently. * Strong critical thinking and analytical skills, with demonstrated success in stakeholder influence and cross-functional collaboration. * Expertise in requirement analysis, product and platform prototyping, and a strong understanding of Agile product development methodologies and tools. * Proficiency in managing dynamic, evolving project requirements with a strong focus on task prioritization and management. * Experience in challenging existing processes constructively and driving continuous improvement for enhanced outcomes. * Good written and verbal communication skills with the ability to articulate ideas **Preferred Skills:** * Experience in digital product management, particularly in building digital platforms and intelligent process automation solutions, including advanced analytics, business intelligence, and blockchain applications within supply chains**.** * Expertise in leading-edge technologies in supply chain analytics and transformation, with excellent analytical and program management capabilities. * Certifications in Program Management, such as PMP, PgMP, or equivalent, are highly desirable. #LI-Hybrid **Additional Skills:** Accountability, Accountability, Action Planning, Active Learning, Active Listening, Bias, Change Management, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Data Collection Management (Inactive), Deadline Management, Design Thinking, Empathy, Follow-Through, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Process Improvements, Project and Program Management (Inactive), Project Management Tools, Quality Improvement Processes, Relationship Building {+ 4 more} **What We Can Offer You:** **Health & Wellbeing** We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. **Personal & Professional Development** We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. **Unconditional Inclusion** We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. **Let 's Stay Connected:** Follow [@HPECareers](http://instagram.com/hpecareers) on Instagram to see the latest on people, culture and tech at HPE. #singapore ### ### #compute, #manufacturing, #operations **Job:** Services **Job Level:** Expert HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: [Equal Employment Opportunity](https://hr.ext.hpe.com/Equal-employment-opportunity-policy.pdf). **Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.** HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. **Recruitment Fraud Alert** We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications. All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.", "summaryDescription" : "Digital Transformation Program Manager – Smart Factory, Robotics and Automation at Hewlett Packard Enterprise. Skills: Digital transformation, Robotics and automation, Smart factory, Program management. Manage internal projects. Manage project financials", "postedDate" : "2026-06-11T11:55:17.047", "createdAt" : "2026-06-11T11:55:16.929", "lastUpdated" : "2026-06-12T20:09:57.861", "ingestTimestamp" : "2026-06-11T11:55:16.929", "mongoId" : "6a26586774d8ee00a021e37a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://hpe.wd5.myworkdayjobs.com/Jobsathpe/job/Singapore-Central-Singapore-Singapore/Digital-Transformation-Program-Manager---Smart-Factory--Robotics-and-Automation_1205386-2", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Operational data analysis", "Integration technologies", "Integration protocols", "Critical thinking", "Independent judgment", "Mentoring", "Digital transformation", "Robotics and automation", "Smart factory", "Program management", "Project management", "Business impact analysis", "Financial forecasting", "Stakeholder relationship management", "Supply chain ERP", "MES", "Planning systems", "Manufacturing automation", "Operations management", "Supply chain management", "Logistics management", "Process improvement", "Digital solutions", "Strategic insights", "PMP Certified", "Risk management", "Post-implementation review", "Project lifecycle", "Smart Factory", "Robotics", "Automation", "Industry 4.0", "Manufacturing landscapes", "Supply chain", "Manufacturing operations", "Electronics industry", "High-tech industries", "EDIs", "APIs" ], "skillCount" : 40, "jobCategory" : "engineering", "seniorityLevel" : "executive", "dataQualityScore" : 1.0, "_score" : 737.5436, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69d5e49c2beec4dd3d931c3f", "title" : "Mechatronics & Robotics Tech", "company" : "Amazon.com Services LLC", "industry" : "Facilities, Maintenance, Real Estate, Real Estate/Facilities, operations", "salary" : { "min" : 29.0, "max" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Memphis, Tennessee, USA", "locations" : [ "Memphis, Tennessee, USA" ], "timestamp" : "2026-06-15T02:13:00.097", "fingerprint" : "bc1e49b5684f61c914bc374b1181f69b42b239e161ec46498802f55d70be9c9c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381221/apply", "externalId" : "1b156e27-7df4-4fed-97c3-1af46465f544", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Memphis", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.1460260,-90.0517786" } ], "locationText" : "Memphis, Tennessee, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "experienceMinYears" : 2, "technicalSkills" : "Robotics, Automation, PLC, SCADA, HMI, Electrical systems, Mechanical systems, Troubleshooting", "professionalSkills" : [ "Technical support", "Problem-solving", "System maintenance" ], "hardSkillsList" : [ "Electrical troubleshooting", "Mechanical troubleshooting", "PLC programming", "SCADA configuration" ], "hardSkills" : [ { "name" : "Electrical troubleshooting", "level" : "intermediate" }, { "name" : "Mechanical troubleshooting", "level" : "intermediate" }, { "name" : "PLC programming", "level" : "intermediate" }, { "name" : "SCADA configuration", "level" : "intermediate" } ], "majorSkills" : "Mechatronics, Robotics, Automation", "majorSkillsList" : [ "Mechatronics", "Robotics", "Automation" ], "coreResponsibilities" : "Perform routine maintenance on robotics and automation equipment, Troubleshoot and repair electrical, mechanical, and control system, Install and configure new automation systems, Support the integration of new technologies, Document maintenance and repair activities, Collaborate with engineering teams on system improvements, Ensure equipment operates safely and efficiently, Respond to equipment failures and production downtime", "teamCollaboration" : "Engineering teams; Production teams", "domainKnowledge" : "Robotics systems; Automation systems; Industrial controls", "domainList" : [ "robotics-systems", "automation-systems", "industrial-controls" ], "domainSpecificKnowledge" : [ "Robotics systems", "Automation systems", "Industrial controls" ], "toolProficiency" : [ "PLC software", "HMI software", "SCADA software" ], "documentationSkills" : "Maintenance logs; Repair reports", "continuousLearning" : "On-the-job training; Vendor training", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "outcomesObjectives" : "Minimize equipment downtime; Ensure operational efficiency; Maintain safety standards", "qualificationsBasic" : "2+ years of experience in a technical role, Associate's degree or equivalent practical experience", "qualificationsPreferred" : "Bachelor's degree in a technical field, Experience with robotics or automation systems, Experience with industrial control systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Maintenance at Amazon Operations is at the heart of Amazon’s business. We are known for our speed, accuracy, and exceptional service. Our buildings deliver tens of thousands of products to hundreds of countries worldwide, every day. Reliability Maintenance & Engineering (RME) are the business partners that work tirelessly behind the scenes to make it all happen. We drive continuous improvement and maintain all of the Robotics and Material Handling Equipment (MHE) to ensure our customers are met with the Amazon smile. Come join us on our journey! About the Role As a Mechatronics & Robotics Technician, you will use your skills to support the Operations Maintenance team in repairing and maintaining material handling equipment and pneumatic systems throughout the building. You will have the opportunity to install, maintain, and repair automated packaging and distribution equipment. In addition to developing your skills, you will mentor junior technicians to grow in their roles. What Do We Offer? Amazon offers competitive compensation packages including comprehensive healthcare benefits starting on Day 1, matching 401(k) program, and up to 20 weeks of paid parental leave. But wait, there is more: We provide lightweight fire-resistant daily wear and composite toe safety shoes for your safety! Here is what you can expect with the Reliability & Maintenance Engineering (RME) selection process for Mechatronics & Robotics Technicians: (Timeframe: Approximately 30-days) Step 1: Congratulations! You successfully submitted your application! Step 2: Amazon Recruiting will review your application and invite the most qualified candidate to complete a pre-employment assessment. Step 3: If you meet the role qualifications, you will receive an invitation from Amazon Recruiting (do-not-reply@criteriacorp.com) to begin your Criteria assessment. You have 5 days to complete. Step 4: Once you successfully meet the pre-employment assessment requirements, you will be invited to complete a video interview. Your video interview invitation will be from HireVue (interviews@hirevue.com) and you will have 7 days to record your interview. Step 5: Your video interview will be reviewed by the Amazon Hiring Team and you will be notified of next steps via email within 5 business days. Key job responsibilities Key job responsibilities include, but are not limited to: - You will promote a safe working environment by following all safety procedures - You will complete preventative maintenance routines with proper documentation - You will troubleshoot electrical and mechanical problems related to all Material Handling Equipment (MHE) which includes belts, motors, photo-eyes, relays, and more - You will maintain a positive working relationship across all of the Amazon Operations facility - You must be able to move up to 49lbs, stand and walk during shifts lasting up to 12 hours, climb ladders and gangways safely, and without limitation, as well as perform regular bending, lifting, stretching, and reaching both below the waist and above the head Please note that while we strive to accommodate employees' preferences for shift assignments, due to operational requirements and scheduling constraints, we cannot guarantee a specific shift assignment. Basic Qualifications: - High school or equivalent diploma - 1+ years of Microsoft Office products and applications experience - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - certification from Amazon's Mechatronics and Robotics Apprenticeship Program, or 2+ years of automated conveyor systems and controls experience - 2+ years of conducting predictive and preventative maintenance procedures experience - 2+ years of reading blueprints and electrical schematics experience - 2+ years of demonstrating safety standards experience - 2+ years of troubleshooting and diagnostics of material handling equipment (MHE) experience Preferred Qualifications: - Experience with robotic operation and maintenance - 2+ years of electrical and electronic principles experience - Associate's degree in Mechnical or Electrical - 2+ years of Mechanical or Electrical apprenticeship experience 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 starting pay for this position is listed below including the base pay rate plus the highest available shift differential which applies depending on the shift you select. As a total compensation company, you are eligible for additional earnings including overtime pay and performance bonuses. Final pay will be based on factors including shift selection and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, TN, Memphis - 29.00 - 30.00 USD hourly", "summaryDescription" : "Mechatronics & Robotics Tech at Amazon.com Services LLC. Skills: Mechatronics, Robotics, Automation. Perform routine maintenance on robotics and automation equipment. Troubleshoot and repair electrical, mechanical, and control system", "postedDate" : "2026-06-13T18:50:24.495", "createdAt" : "2026-06-13T18:50:24.495", "lastUpdated" : "2026-06-15T02:13:00.097", "ingestTimestamp" : "2026-06-13T18:50:24.495", "mongoId" : "69d5e49c2beec4dd3d931c3f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381221/apply", "salaryAnnualMin" : 60320, "salaryAnnualMax" : 62400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Electrical troubleshooting", "Mechanical troubleshooting", "PLC programming", "SCADA configuration", "Mechatronics", "Robotics", "Automation", "Technical support", "Problem-solving", "System maintenance", "Robotics systems", "Automation systems", "Industrial controls", "PLC software", "HMI software", "SCADA software" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 737.24316, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a10b02958b93c861e1edc39", "title" : "Data Automation Engineer (AI Enablement)", "company" : "Mercedes-Benz Cars", "industry" : "Manufacturing", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Automation Engineer in the UK automotive industry, adjusted for Milton Keynes's cost of living and Mercedes-Benz's company size." }, "location" : "United Kingdom-England-Milton Keynes", "locations" : [ "United Kingdom-England-Milton Keynes" ], "timestamp" : "2026-06-15T05:04:02.636", "fingerprint" : "af0886e96b8592b241f1ac89de0d60eed864e3c4a0e89fc1c782b150085d2b89", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=883496", "externalId" : "883496", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milton Keynes", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.0406502,-0.7594092" } ], "locationText" : "Milton Keynes, England, United Kingdom", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, Azure, AI, ML, DWH, Lakehouse, CI/CD, LLM", "professionalSkills" : [ "Data solutions", "Data pipelines", "Data models", "Data operations", "Data governance", "Data quality", "Data lineage", "System architecture" ], "hardSkillsList" : [ "Data integration", "Data transformation", "Automated data pipelines", "AI-driven automation", "Data modeling", "Performance optimization", "Observability", "Automated controls", "Platform enhancements", "Orchestration", "Scheduling", "Monitoring", "AI use cases", "Optimised queries", "Ethical standards" ], "softSkillsList" : [ "Agile", "Independent contributor", "Confident communicator" ], "hardSkills" : [ { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Automated data pipelines", "level" : "intermediate" }, { "name" : "AI-driven automation", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" }, { "name" : "Automated controls", "level" : "intermediate" }, { "name" : "Platform enhancements", "level" : "intermediate" }, { "name" : "Orchestration", "level" : "intermediate" }, { "name" : "Scheduling", "level" : "intermediate" }, { "name" : "Monitoring", "level" : "intermediate" }, { "name" : "AI use cases", "level" : "intermediate" }, { "name" : "Optimised queries", "level" : "intermediate" }, { "name" : "Ethical standards", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Agile" }, { "name" : "Independent contributor" }, { "name" : "Confident communicator" } ], "majorSkills" : "Data Automation, AI Enablement, Cloud Data Solutions, ML Initiatives", "majorSkillsList" : [ "Data Automation", "AI Enablement", "Cloud Data Solutions", "ML Initiatives" ], "coreResponsibilities" : "Design data pipelines in Azure, Build data pipelines in Azure, Automate data pipelines in Azure, Optimize pipelines and integrations, Deliver high-quality datasets, Deliver data models, Monitor daily data operations, Troubleshoot daily data operations, Enhance daily data operations, Improve performance and observability, Optimize data flows, Enhance monitoring, Enhance alerting, Strengthen resilience, Support data governance, Support data compliance, Contribute to platform enhancements, Advance data strategy, Explore new technologies, Explore automation opportunities", "teamCollaboration" : "Collaborative team player; Cross-functional teams", "projectManagementSkills" : [ "Agile", "Scrum", "Kanban", "Lean" ], "domainKnowledge" : "Cloud-native architecture; Data integration patterns; LLM use cases; Data-driven operations", "domainList" : [ "cloud-native-architecture", "data-integration-patterns", "llm-use-cases", "data-driven-operations" ], "domainSpecificKnowledge" : [ "Cloud-native architecture", "Data integration patterns", "LLM use cases", "Data-driven operations" ], "toolProficiency" : [ "Azure Data Factory", "Databricks" ], "communicationSkills" : "Clear communicator; Confident communicator; Actionable insights", "documentationSkills" : "Documentation", "continuousLearning" : "Encourage development; Training; Knowledge", "innovationCreativity" : "Innovation; Pushing boundaries; Exploring new technologies; Automation opportunities", "problemSolvingSkills" : "Analytical; Solving complex problems; Troubleshooting; Proactive", "outcomesObjectives" : "Scalable analytics; AI-ready data; Data-driven operations; Secure data pipelines; Reliable data pipelines; Efficient data ingestion; Efficient data transformation; Efficient data delivery; Improved speed; Improved scalability; Improved reliability; High-quality datasets; Proactively strengthening resilience; Optimising data flows; Enhancing monitoring; Automated preventative rules; Scalable foundations; AI-ready foundations", "qualificationsBasic" : "Advanced SQL skills, Advanced Python skills, Hands-on experience with data integration tools, Hands-on experience with data transformation tools, Experienced in Agile ways of working", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Data Automation Engineer (AI Enablement) About Us At Mercedes-Benz Cars, we’re passionate about what we do. Whether we’re exploring ways to make motoring more sustainable, or pushing the boundaries of technology, innovation underpins everything we do. It’s an exciting time to join us, why not be part of the journey? How you’ll play your part We’re looking for someone who is agile and a team player, who understands complex data environments of analytics platforms and can bring their solid experience in in end ‐ to ‐ end data solutions. In this role you will design, operate , and continually improve secure, reliable, and automated data pipelines and platform components that enable scalable analytics, AI‑ready data, and data‑driven operations across MBUK. What you’ll do: · Design, build, and automate end ‑ to ‑ end data pipelines in Azure , ensuring secure, reliable, and efficient ingestion, transformation, delivery, and documentation. · Continuously optimise pipelines and integrations, improving speed, scalability, and reliability, including the use of AI ‑ driven automation. · Deliver high ‑ quality datasets and data models (DWH, Lakehouse) that power analytics, reporting, and AI use cases. · Monitor, troubleshoot, and enhance daily data operations, resolving issues quickly and proactively strengthening resilience. · Improve performance and observability, optimising data flows and enhancing monitoring, alerting, and automated preventative rules. · Support data governance and compliance, ensuring data quality, lineage, archiving, masking, encryption, and automated controls. · Contribute to platform ‑ level enhancements, improving CI/CD, orchestration, scheduling, and monitoring for scalable, AI ‑ ready foundations. · Advance the MBUK data strategy, exploring new technologies and automation opportunities. What experience and knowledge you’ll bring : · Designs and delivers cloud ‑ native or on ‑ prem data solutions. · Leads and coordinates AI/ML initiatives, including identifying LLM use cases and integrating them into business and data workflows. · Advanced SQL and Python skills, writing highly optimised queries across large datasets to create AI ‑ ready data. · Collaborative team player and confident independent contributor. · Proactive, taking ownership to deliver practical solutions. · Strong knowledge of technical ecosystems, including data integration patterns and system architecture fundamentals. · Clear, confident communicator across all audiences. · Analytical, accurate, and skilled in solving complex problems. · Hands ‑ on experience with data integration and transformation tools (e.g., Azure Data Factory, Databricks). · Transforms complex analysis into clear, actionable insights. · Experienced in Agile ways of working (Scrum, Kanban, Lean). At Mercedes-Benz, we operate with integrity and therefore you are required to maintain ethical standards in accordance with our polices and adhere to the Company's Compliance Guidelines and Policies including Anti-Bribery and all relevant competition law. What’s in it for you As well as the opportunity to work in a dynamic environment, with a great team and culture, we’ll offer you a competitive salary and discretionary bonus structure. We also hope you’ll love our products as much as we do, with access to our colleague car schemes. On top of that, you’ll be able to join our pension scheme and you’ll get a flexible benefit pot that can be used to find the benefits that are right for you. We are pleased to be able to offer a hybrid working approach – achieving a great balance between remote and office working. We’re here to support you – we offer access to colleague wellbeing resources, including an Employee Assistance Programme and Mental health First Aiders, as well as flexible opportunities to support work life balance. We’ll also encourage your development, with the training and knowledge you need to reach your potential. Who we are Through the doors of Mercedes-Benz, you’ll find a passionate team working to deliver cutting-edge IT solutions that drive innovation and efficiency across our business areas. We know that to keep this team motivated, we need to ensure that everyone has equal opportunity. We celebrate a culture of appreciation and respect, where everyone is valued for who they are. We believe our backgrounds, experiences and cultures contribute to our shared experience and shape who we are and what we do. The diversity of our colleagues reflects the diversity of our customers. This diversity is the driving force behind our ideas. What’s next? Once you click apply, we’ll take you through to the Mercedes-Benz Group careers portal – this is our parent company site, so don’t worry, you’re in safe hands. Here, you’ll find a short application form to complete. Please be assured that we’re here to support you throughout the recruitment process and beyond, and reasonable adjustments are available to any candidates who need them. We’re also open to working flexibly and are happy to discuss flexible working options. Due to UK legislation, we need to let you know that we can only accept applications from those with the right to work in the UK. Managing your data We care about your personal data. The General Data Protection Regulation provides you with more control and by submitting an application to us, we consider this to be an agreement to process your personal data in support of our recruitment and selection process. Data categories that we process in relation to your application are the ones that you provided as part of the application process. We process your personal data in relation to the application, in accordance with the legal requirements. Recipients of your personal data within our company are the managers of the specialist unit in charge of filling the position and the responsible colleagues from HR. Your application data is held within our secure application tracking system called Taleo – you’ll be given access to a candidate zone in this system where you can monitor and manage your application and see status updates. We will communicate with you, by email or phone throughout the recruitment process so that we can keep you updated and inform you of your progress through the recruitment process. You can also seek ‘job alerts’ once you are registered in Taleo and it’s possible your details may be returned in searches we conduct for new positions and we may contact you by email to let you know about them. We limit the storage of your data to the necessary period. Contact us as careers@mercedes-benz.com for further information. If you have any questions about any matter relating to data protection or the personal data that we process about you for the purpose of personnel recruiting, please contact the Mercedes-Benz UK Data Protection Officer at the following address: Mercedes-Benz UK Ltd, Legal Department, Tongwell, Milton Keynes, MK15 8BA or datacompliance@mercedes-benz.com. Mercedes-Benz UK Limited", "summaryDescription" : "Data Automation Engineer (AI Enablement) at Mercedes-Benz Cars. Skills: Data Automation, AI Enablement, Cloud Data Solutions, ML Initiatives. Design data pipelines in Azure. Build data pipelines in Azure", "createdAt" : "2026-06-14T08:38:06.084", "lastUpdated" : "2026-06-15T05:04:02.636", "ingestTimestamp" : "2026-06-14T08:38:06.084", "mongoId" : "6a10b02958b93c861e1edc39", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data integration", "Data transformation", "Automated data pipelines", "AI-driven automation", "Data modeling", "Performance optimization", "Observability", "Automated controls", "Platform enhancements", "Orchestration", "Scheduling", "Monitoring", "AI use cases", "Optimised queries", "Ethical standards", "Agile", "Independent contributor", "Confident communicator", "Data Automation", "AI Enablement", "Cloud Data Solutions", "ML Initiatives", "Data solutions", "Data pipelines", "Data models", "Data operations", "Data governance", "Data quality", "Data lineage", "System architecture", "Scrum", "Kanban", "Lean", "Cloud-native architecture", "Data integration patterns", "LLM use cases", "Data-driven operations", "Azure Data Factory", "Databricks" ], "skillCount" : 39, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 735.941, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "69fda4e44c40e2acd1b99962", "title" : "Sr. Mechatronics Engineer, Robotics, Applied Automation", "company" : "Amazon.com Services LLC", "industry" : "Hardware Development, subsidiaries", "salary" : { "min" : 137300.0, "max" : 185700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "North Reading, Massachusetts, USA", "locations" : [ "North Reading, Massachusetts, USA" ], "timestamp" : "2026-06-15T05:55:00.585", "fingerprint" : "b9908a1e803146f6d77278f6efedef5a72b9f35639ded0e1ff744729b2bd240d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412936/apply", "externalId" : "02522b31-4c65-4604-bb11-b705a070c92b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "North Reading", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.5750939,-71.0786653" }, { "city" : "Westboro", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.2437229,-71.6040009" }, { "city" : "Nashville", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.1622767,-86.7742984" }, { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "North Reading, Massachusetts, United States; Westboro, Massachusetts, United States; Nashville, Tennessee, United States; Austin, Texas, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Shape the future of intelligent automation. As a Senior Robotics Mechatronics Engineer at Amazon Robotics, you will be the technical leader that owns the design, development, architecture and delivery of our next generation robotic systems. Innovate on robotic systems that operate at unprecedented scale across hundreds of fulfillment sites worldwide, pushing the boundaries of what autonomous machines can achieve. Own the full design lifecycle from concept through scaled deployment, guiding a partnership focused cross functional team of world class engineers to deliver state of the art robotic systems. As a Robotics Engineering technical leader, you will design, develop and test intelligent systems that integrate mechanical, electrical and software engineering into complete robotic platforms. You will create detailed design specifications and models, conduct simulation, testing and validation, and drive end to end system delivery. The ideal candidate has experience designing and examining robots, actuation hardware, camera, compute and machine vision modules, enjoys analytical problem solving, possesses practical knowledge of high volume manufacturing methods and is a role model for engineering best practices. Key job responsibilities The Senior Robotics Mechatronics Engineer will be accountable for: - Guiding an interdisciplinary team to execute product designs from concept to production including specification, design, prototyping, validation and testing - Designing and integrating holistic electromechanical hardware solutions for complex, ambiguous problems with evolving requirements - Creating detailed design specifications, 3D models and schematics for mechatronic and robotic systems - Developing and debugging embedded systems, sensors and automation controllers to ensure reliable system performance - Conducting simulation, evaluation, testing and validation of robotic and electromechanical systems against performance and safety standards - Performing root cause analysis on system failures and implementing corrective actions to improve reliability and uptime - Collaborating with Operations, Manufacturing, Supply Chain and Quality organizations to ensure smooth product launch and sustaining - Managing vendor relationships, component procurement and supply chain integration to support production timelines - Writing functional specifications, design verification plans and test procedures to ensure engineering rigor - Driving continuous improvement and design for manufacturability across high volume production environments - Mentoring junior engineers and exhibiting role model behaviors of thorough engineering analysis and cradle to grave ownership A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Basic Qualifications: - Experience in developing functional specifications, design verification plans and functional test procedures - Bachelor's degree or above in robotics, mechanical/mechatronics engineering, systems engineering or related field - SolidWorks or similar CAD experience, understanding of best practices for part design, advanced assemblies and complex configuration management - Hands on experience crafting proof-of-concept models and prototypes - Experience mentoring and developing junior engineers - Thorough understanding of technical principals, theories and concepts in hardware development and ability to apply them to product design - Extensive system design experience interfacing with a wide array of electro-mechanical subsystems and associated debugging experience - Strong organizational and planning skills - Desire to work in a fast-paced environment and customer focused - Ability to effectively communicate concepts and write technical documents - Experience with full product lifecycle and proficiency at completing tasks to meet milestones - Experience evaluating design, performance and logistical tradeoffs for hardware systems - Ability to support domestic and international travel as required by the program. - Desire and energy to work in a fast-paced agile environment Preferred Qualifications: - Experience working with interdisciplinary teams to execute product design from concept to production - Experience with the project management of technical projects - Experience in project management of technical programs - Experience in the design of complex mechanical products and equipment at volume - Knowledge of SolidWorks simulation or Ansys Finite Element analysis tools - Master's degree in mechanical engineering, mechatronics or equivalent - Experience working with interdisciplinary teams to execute product design from concept to production - Experience in actuation, motor development and fundamentals of actuator design including gear train, linkage and transmission systems - Experience in robotic development and electromechanical system integration - Experience with sensor selection, integration and calibration in robotic systems - Familiarity with machine vision hardware including camera modules, compute platforms and optical system integration - Knowledge of industrial safety standards (ISO 10218, ISO/TS 15066, ANSI/RIA) for collaborative and autonomous robotic systems - Experience with Design for Reliability including DFMEA, PFMEA and reliability testing methodologies - Experience designing and debugging tooled components (cast, injection mold, forge, stamp) - Experience with thermal management and heat dissipation design for electromechanical systems - Proficiency documenting designs in accordance with ANSI Y 14.5 - Proficiency in Python or MATLAB for data analysis, simulation and rapid prototyping - Experience with rapid prototyping methods including 3D printing and CNC machining - Proficiency with Product Lifecycle Management PLM software and ECOs - Experience leading product enhancements that improve performance of existing products - Understanding of control systems fundamentals including servo tuning, PID control and motion profiling - Strong organizational skills and the ability to lead and collaborate across cross functional teams 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, MA, North Reading - 137,300.00 - 185,700.00 USD annually USA, MA, Westboro - 137,300.00 - 185,700.00 USD annually", "summaryDescription" : "Sr. Mechatronics Engineer, Robotics, Applied Automation at Amazon.com Services LLC", "postedDate" : "2026-06-13T18:05:37.564", "createdAt" : "2026-06-13T18:05:37.564", "lastUpdated" : "2026-06-15T05:55:00.585", "ingestTimestamp" : "2026-06-13T18:05:37.564", "mongoId" : "69fda4e44c40e2acd1b99962", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412936/apply", "salaryAnnualMin" : 137300, "salaryAnnualMax" : 185700, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 732.25836, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a10b02958b93c861e1edc38", "title" : "Internship – Product & AI Engineering (Agentic Automation)", "company" : "Mercedes-Benz AG", "industry" : "Manufacturing", "salary" : { "min" : 20000.0, "max" : 30000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in the automotive industry in Stuttgart, Germany, adjusted for company size and seniority." }, "location" : "Germany-Baden-Württemberg-Stuttgart-Vaihingen", "locations" : [ "Germany-Baden-Württemberg-Stuttgart-Vaihingen", "Am Wallgraben 114, , Stuttgart-Vaihingen" ], "timestamp" : "2026-06-15T04:48:16.572", "fingerprint" : "db0f753e834070525e5c53cd26600ea9a84cee37a0d34dadee69d4c4ba6757dc", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=896293", "externalId" : "896293", "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", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, JavaScript, AI, Machine Learning, Data Engineering", "professionalSkills" : [ "Product development", "System interfaces", "Project support", "PMO support", "Task structuring", "Progress tracking", "Status updates", "Workshop preparation" ], "hardSkillsList" : [ "Agentic AI architectures", "End-to-end orchestration", "Cooperating AI agents", "Deterministic logic", "Orchestration workflows", "Market-specific decisions", "Agent workflows", "Programming" ], "softSkillsList" : [ "Motivation" ], "hardSkills" : [ { "name" : "Agentic AI architectures", "level" : "intermediate" }, { "name" : "End-to-end orchestration", "level" : "intermediate" }, { "name" : "Cooperating AI agents", "level" : "intermediate" }, { "name" : "Deterministic logic", "level" : "intermediate" }, { "name" : "Orchestration workflows", "level" : "intermediate" }, { "name" : "Market-specific decisions", "level" : "intermediate" }, { "name" : "Agent workflows", "level" : "intermediate" }, { "name" : "Programming", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Motivation" } ], "majorSkills" : "Product Engineering, AI Engineering, Agentic Automation", "majorSkillsList" : [ "Product Engineering", "AI Engineering", "Agentic Automation" ], "coreResponsibilities" : "Contribute to product, Apply AI architectures, Apply end-to-end orchestration, Integrate AI agents, Integrate deterministic logic, Integrate orchestration workflows, Support decision making, Work on proof-of-concept, Integrate agent workflows, Integrate system interfaces, Enable controlled automation, Enable explainability, Implement PoC components, Test PoC components, Combine technical contributions, Provide PMO support, Structure tasks, Track progress, Prepare status updates, Prepare workshops, Collaborate with teams, Contribute ideas, Turn ideas into solutions", "teamCollaboration" : "Software teams; Data teams; AI teams; Business teams; International teams; Cross-functional teams", "projectManagementSkills" : [ "Agile IT environment", "Planning", "Structuring tasks", "Dependency tracking", "Status reporting" ], "domainKnowledge" : "After-sales process; Agent-based systems; Multi-step decision flows; Technical proof-of-concept; Delivery management", "domainList" : [ "after-sales-process", "agent-based-systems", "multi-step-decision-flows", "technical-proof-of-concept", "delivery-management" ], "domainSpecificKnowledge" : [ "After-sales process", "Agent-based systems", "Multi-step decision flows", "Technical proof-of-concept", "Delivery management" ], "communicationSkills" : "Stakeholder updates; Decision-ready documentation", "documentationSkills" : "Documentation", "continuousLearning" : "Learn agent-based systems; Learn AI agent interaction; Learn proof-of-concept delivery; Learn international collaboration; Learn project management; Learn documentation preparation", "innovationCreativity" : "Innovation-driven product; Innovative topics", "specialRequirements" : "Mandatory internship", "qualificationsBasic" : "Ongoing studies in Business Informatics, Ongoing studies in Data Science, Ongoing studies in Engineering, Ongoing studies in Computer Science, Comparable field of study, Mandatory internship", "qualificationsPreferred" : "Initial experience with AI is a plus, German is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "What this is about You will contribute to an innovation-driven product that applies agentic AI architectures and end-to-end orchestration to a complex core after-sales process. The focus is on combining cooperating AI agents, deterministic logic, and orchestration workflows to support large-scale, market-specific decisions in a transparent and governed way. Working on a real proof-of-concept in an enterprise environment, you will help integrate agent workflows and system interfaces that enable controlled automation and explainability. Please note that we expect to provide an initial response to all applicants around mid‑June. What you will do Work hands-on on an AI-driven proof-of-concept for core after-sales processes Support the implementation and testing of PoC components such as data products, machine learning models, agent workflows, or UI elements Combine technical contributions with project and PMO support (planning, coordination, documentation) Help structure tasks, track progress, and prepare status updates and workshops Collaborate closely with software, data, AI, and business teams Contribute ideas and help turn them into working solutions What you will learn How agent-based systems are designed, orchestrated, and integrated into real enterprise processes How AI agents, deterministic business logic, and workflow orchestration interact in multi-step decision flows How to structure and deliver a technical proof-of-concept, from architecture and implementation to validation and presentation How to collaborate with international, cross-functional teams across multiple locations worldwide How project and delivery management (PMO) works in an agile IT environment, including planning and structuring of tasks, dependency tracking, and status reporting How to prepare decision-ready documentation and stakeholder updates, balancing technical detail with management-level clarity The activity can begin from July 2026. What you bring Ongoing studies in Business Informatics, Data Science, Engineering, Computer Science, or a comparable field Strong interest in AI, software development, and modern IT solutions; initial experience with AI is a plus Programming experience (e.g. Python, JavaScript) A structured mindset, curiosity, and motivation to work on innovative topics Very good English skills; German is a plus Please note that your internship at this location must be mandatory. Additional Information: We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, proof of mandatory internship if applicable, 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-zentrale@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" : "Internship – Product & AI Engineering (Agentic Automation) at Mercedes-Benz AG. Skills: Product Engineering, AI Engineering, Agentic Automation. Contribute to product. Apply AI architectures", "createdAt" : "2026-06-14T02:58:47.270", "lastUpdated" : "2026-06-15T04:48:16.572", "ingestTimestamp" : "2026-06-14T02:58:47.270", "mongoId" : "6a10b02958b93c861e1edc38", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Agentic AI architectures", "End-to-end orchestration", "Cooperating AI agents", "Deterministic logic", "Orchestration workflows", "Market-specific decisions", "Agent workflows", "Programming", "Motivation", "Product Engineering", "AI Engineering", "Agentic Automation", "Product development", "System interfaces", "Project support", "PMO support", "Task structuring", "Progress tracking", "Status updates", "Workshop preparation", "Agile IT environment", "Planning", "Structuring tasks", "Dependency tracking", "Status reporting", "After-sales process", "Agent-based systems", "Multi-step decision flows", "Technical proof-of-concept", "Delivery management" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 726.03845, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307fbdf292fd229c05d24b", "title" : "Specialist - RPA (Robotic Process Automation) Development", "company" : "On Location", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Specialist - RPA Development in Portland, United States, adjusted for industry and company size." }, "location" : "Portland, Oregon, United States", "locations" : [ "Portland", "Oregon", "United States" ], "timestamp" : "2026-06-16T14:33:31.282", "fingerprint" : "989d5f218cda780b6db7a5460704c4ea4a39da9f2e4bb77388255f44c644a2b3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/onrunning/jobs/4887291?gh_jid=4887291", "externalId" : "4887291", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Portland", "state" : "Oregon", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "45.5202471,-122.6741940" } ], "locationText" : "Portland, Oregon, United States", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "At a Glance: 1250 NW 9th Ave., Portland, OR 97209. Telecommute work from home position within commuting distance to Portland, OR office, in office at least 2 days a week. The Robotic Process Automation (RPA) Experience with role based security design and customization; and Experience with Microsoft Dynamics AX Infrastructure Support, Microsoft Dynamics Deployments. On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination. We are requesting that you provide sensitive demographic information such as gender identity and race/ethnicity to help us ensure that we are creating equitable and fair experiences for all potential future team members. You are not required to provide this demographic information and this information will in no way impact your eligibility for hire.", "summaryDescription" : "Specialist - RPA (Robotic Process Automation) Development at On Location", "postedDate" : "2026-06-16T01:19:33.117", "createdAt" : "2026-06-16T01:19:33.117", "lastUpdated" : "2026-06-16T14:33:31.282", "ingestTimestamp" : "2026-06-16T01:19:33.117", "mongoId" : "6a307fbdf292fd229c05d24b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 720.6036, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a3063dff292fd229cf9f16b", "title" : "Graphic Designer - Internship", "company" : "Max Mara Fashion Group", "industry" : "Apparel And Fashion", "salary" : { "min" : 10000.0, "max" : 15000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an Entry-level Graphic Designer Internship in Reggio Emilia, Italy, with adjustments for the Outdoor & Apparel industry and company size." }, "location" : "Reggio Emilia, Emilia-Romagna, Italy", "locations" : [ "Reggio Emilia", "Emilia-Romagna", "Italy" ], "timestamp" : "2026-06-16T10:09:43.171", "fingerprint" : "7e5a80c64d3d1a417292018e077471c34190f19a3321af301d7148a1c7d7daf1", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/MaxMaraFashionGroup/744000132227740-graphic-designer-internship", "externalId" : "744000132227740", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Reggio Emilia", "state" : "Emilia-Romagna", "country" : "Italy", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "44.6086674,10.5940667" } ], "locationText" : "Reggio Emilia, Emilia-Romagna, Italy", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Adobe Creative Suite, Photoshop, Illustrator, InDesign, HTML5, Google Web Designer", "hardSkillsList" : [ "Graphic design", "Video production", "Digital advertising" ], "hardSkills" : [ { "name" : "Graphic design", "level" : "intermediate" }, { "name" : "Video production", "level" : "intermediate" }, { "name" : "Digital advertising", "level" : "intermediate" } ], "majorSkills" : "Graphic design, Digital advertising", "majorSkillsList" : [ "Graphic design", "Digital advertising" ], "coreResponsibilities" : "Create digital moodboards, Create visual presentations, Create original graphics, Work with photographers, Work with videographers, Work with designers, Ensure visual consistency, Create short video content, Edit short video content, Develop HTML5 advertising campaigns, Adapt HTML5 advertising campaigns", "teamCollaboration" : "Communication Team; Photographers; Videographers; Designers", "domainKnowledge" : "Fashion", "domainList" : [ "fashion" ], "domainSpecificKnowledge" : [ "Fashion" ], "toolProficiency" : [ "Adobe Photoshop", "Adobe Illustrator", "Adobe InDesign", "Google Web Designer" ], "qualificationsBasic" : "Adobe Creative Suite proficiency, English B2 proficiency", "qualificationsPreferred" : "Passion for Fashion", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Max Mara Fashion Group is seeking a motivated Graphic Designer to join our Communication Team. This internship offers the opportunity to work within a dynamic fashion environment, contributing to the visual identity of our brands. Key Responsibilities * Graphic Design: Create digital moodboards, visual presentations, and high-quality original graphics. * Collaboration: Work with photographers, videographers, and designers to ensure visual consistency across all brand channels. * Video Production: Create and edit short video content for marketing campaigns and social media. * Digital Advertising: Develop and adapt HTML5-based advertising campaigns using Google Web Designer. ## Qualifications * Solid knowledge of the Adobe Creative Suite (e.g., Photoshop, Illustrator, InDesign). * English language proficiency at level B2 or higher. * Strong Passion for Fashion.", "summaryDescription" : "Graphic Designer - Internship at Max Mara Fashion Group. Skills: Graphic design, Digital advertising. Create digital moodboards. Create visual presentations", "postedDate" : "2026-06-15T15:02:29.000", "createdAt" : "2026-06-16T00:06:02.992", "lastUpdated" : "2026-06-16T10:09:43.171", "ingestTimestamp" : "2026-06-16T00:06:02.992", "mongoId" : "6a3063dff292fd229cf9f16b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Graphic design", "Video production", "Digital advertising", "Fashion", "Adobe Photoshop", "Adobe Illustrator", "Adobe InDesign", "Google Web Designer" ], "skillCount" : 8, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 720.45984, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Outdoor & Apparel", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c6c0574d8ee00a0916574", "title" : "2026 Global Client Solutions Internship", "company" : "KKR", "industry" : "Consulting", "salary" : { "min" : 40000.0, "max" : 60000.0, "currency" : "SEK", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for entry-level internships in financial services in Stockholm, Sweden, adjusted for company size and industry." }, "location" : "Stockholm, Stockholm, Sweden", "locations" : [ "Stockholm", "Stockholm", "Sweden" ], "timestamp" : "2026-06-15T12:00:57.941", "fingerprint" : "9b455d4f01b97766f30fa4b18bce5588c4b652c5d092a0a4eedc60a5e3c8f5a6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.kkr.com/careers/student-careers/student-career-opportunities/post?gh_jid=5996313004", "externalId" : "5996313004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Stockholm", "state" : "Stockholm", "country" : "Sweden", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "59.3251172,18.0710935" } ], "locationText" : "Stockholm, Stockholm, Sweden", "employmentType" : "INTERNSHIP", "professionalSkills" : [ "Client support", "Sales support", "Pipeline reporting" ], "majorSkills" : "Sales, Relationship management", "majorSkillsList" : [ "Sales", "Relationship management" ], "coreResponsibilities" : "Deliver weekly internal status updates, Support sales team with ad-hoc requests, Coordinate with sales support teams on pipeline reporting", "teamCollaboration" : "Across a global team", "domainKnowledge" : "Alternative asset management; Capital markets; Insurance solutions; Private equity; Credit; Real assets; Hedge funds; Retirement products; Life products; Reinsurance products; Institutional investors", "domainList" : [ "alternative-asset-management", "capital-markets", "insurance-solutions", "private-equity", "credit", "real-assets", "hedge-funds", "retirement-products", "life-products", "reinsurance-products", "institutional-investors" ], "domainSpecificKnowledge" : [ "Alternative asset management", "Capital markets", "Insurance solutions", "Private equity", "Credit", "Real assets", "Hedge funds", "Retirement products", "Life products", "Reinsurance products", "Institutional investors" ], "qualificationsBasic" : "Polished and professional demeanor, Highly organized, Multi-tasking ability, Commitment to excellence, Proven team player, Ability to foster working relationships, Self-motivated, Prioritization skills, Cultural awareness", "qualificationsPreferred" : "Keen interest in industry", "remoteFriendly" : false, "rawDescription" : "COMPANY OVERVIEW KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries. Team Overview The Global Client Solutions Group (KCS) is KKR's dedicated investor solutions team. KCS was first formed in 2009 to invest in and focus on KKR's relationships with current and potential investors. Today, KCS consists of over 300 executives located in over 20 offices across four continents. The KCS platform is primarily organized around two specialized focus areas: Sales/Relationship Management and Product/Strategy Management. KCS seeks to \"connect the dots\" across all businesses at KKR, from our Private Equity investing teams to Infrastructure, Real Estate, Credit, Capital Markets and Insurance-Funded Strategies, to deliver all of KKR's intellectual capital and solutions to our investing partners. The group's long-term objective is to diversify KKR's client base to include new investors, across all regions and institution types, and to raise capital for the Firm's expanding product platform through developing, structuring and maintaining collaborative partnerships with our investors. Position Overview The Global Client Solutions team is seeking an intern to support the Nordics region, reporting to the Head of KCS Nordics in Stockholm, Sweden. This role offers exposure to a leading global investment firm managing multiple alternative asset classes, with a focus on marketing KKR-sponsored funds, vehicles, and separate accounts to institutional investors. Key Responsibilities Client Support deliver weekly internal status updates on clients and prospects Support the broader sales team with ad-hoc requests from other regions and coordinate with sales support teams on pipeline reporting Learning polished and professional demeanor with internal and external stakeholders Organizational Skills: Attention to detail, highly organized, strong multi-tasking ability, and commitment to excellence Team Collaboration: Proven team player with ability to foster strong working relationships across a global team Proactivity: Self-motivated with strong prioritization skills and cultural awareness for operating in a regional role Industry Interest: Keen interest in global financial markets and alternative investments To be considered for the internship program, applicants must meet the following criteria: Available to intern for a minimum of 3-6 months (start July 2026) Available to work on-site in the KKR Stockholm office CV must be in PDF KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.", "summaryDescription" : "2026 Global Client Solutions Internship at KKR. Skills: Sales, Relationship management. Deliver weekly internal status updates. Support sales team with ad-hoc requests", "postedDate" : "2026-06-14T02:50:11.830", "createdAt" : "2026-06-14T02:50:11.830", "lastUpdated" : "2026-06-15T12:00:57.941", "ingestTimestamp" : "2026-06-14T02:50:11.830", "mongoId" : "6a2c6c0574d8ee00a0916574", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Sales", "Relationship management", "Client support", "Sales support", "Pipeline reporting", "Alternative asset management", "Capital markets", "Insurance solutions", "Private equity", "Credit", "Real assets", "Hedge funds", "Retirement products", "Life products", "Reinsurance products", "Institutional investors" ], "skillCount" : 16, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 717.8612, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3054b2f292fd229cf19fa1", "title" : "Graphic Designer - Internship", "company" : "Max Mara Fashion Group", "industry" : "Apparel And Fashion", "salary" : { "min" : 12000.0, "max" : 18000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an Entry-level Graphic Designer Internship in Reggio Emilia, Italy, adjusted for the Outdoor & Apparel industry." }, "location" : "Reggio Emilia, Emilia-Romagna, Italy", "locations" : [ "Reggio Emilia", "Emilia-Romagna", "Italy" ], "timestamp" : "2026-06-16T08:14:34.841", "fingerprint" : "d1f84718c2ddea098979bfe073a70ac60824c51a33c62d872565b56c55630c4e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/MaxMaraFashionGroup/744000132227740-graphic-designer-internship", "externalId" : "744000132227740", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Reggio Emilia", "state" : "Emilia-Romagna", "country" : "Italy", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "44.6086674,10.5940667" } ], "locationText" : "Reggio Emilia, Emilia-Romagna, Italy", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Adobe Creative Suite, Photoshop, Illustrator, InDesign, HTML5, Google Web Designer", "majorSkills" : "Graphic Design, Video Production, Digital Advertising", "majorSkillsList" : [ "Graphic Design", "Video Production", "Digital Advertising" ], "coreResponsibilities" : "Create digital moodboards, Create visual presentations, Create original graphics, Work with photographers, Work with videographers, Work with designers, Create short video content, Edit short video content, Develop advertising campaigns, Adapt advertising campaigns", "teamCollaboration" : "Communication Team", "domainKnowledge" : "Fashion", "domainList" : [ "fashion" ], "domainSpecificKnowledge" : [ "Fashion" ], "toolProficiency" : [ "Adobe Creative Suite", "Google Web Designer" ], "qualificationsBasic" : "Adobe Creative Suite proficiency, English B2 proficiency", "qualificationsPreferred" : "Passion for Fashion", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Max Mara Fashion Group is seeking a motivated Graphic Designer to join our Communication Team. This internship offers the opportunity to work within a dynamic fashion environment, contributing to the visual identity of our brands. Key Responsibilities * Graphic Design: Create digital moodboards, visual presentations, and high-quality original graphics. * Collaboration: Work with photographers, videographers, and designers to ensure visual consistency across all brand channels. * Video Production: Create and edit short video content for marketing campaigns and social media. * Digital Advertising: Develop and adapt HTML5-based advertising campaigns using Google Web Designer. ## Qualifications * Solid knowledge of the Adobe Creative Suite (e.g., Photoshop, Illustrator, InDesign). * English language proficiency at level B2 or higher. * Strong Passion for Fashion.", "summaryDescription" : "Graphic Designer - Internship at Max Mara Fashion Group. Skills: Graphic Design, Video Production, Digital Advertising. Create digital moodboards. Create visual presentations", "postedDate" : "2026-06-15T15:02:29.000", "createdAt" : "2026-06-15T23:42:30.199", "lastUpdated" : "2026-06-16T08:14:34.841", "ingestTimestamp" : "2026-06-15T23:42:30.199", "mongoId" : "6a3054b2f292fd229cf19fa1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Graphic Design", "Video Production", "Digital Advertising", "Fashion", "Adobe Creative Suite", "Google Web Designer" ], "skillCount" : 6, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 715.61993, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Outdoor & Apparel", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c732374d8ee00a0932722", "title" : "Digital Data Specialist", "company" : "Stanley/Stella", "industry" : "Outdoor & Apparel", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Digital Data Specialist in Brussels, Belgium, adjusted for the E-Commerce industry and company size." }, "location" : "Brussels (Auderghem), BE", "locations" : [ "Brussels (Auderghem)", "BE" ], "timestamp" : "2026-06-15T10:53:01.670", "fingerprint" : "9f9f44046b8a2138dd1e7eecc9d1ffbd2984034115ac77b2c404b0961eaae330", "source" : "personio", "language" : "en", "applyUrl" : "https://stanley-stella.jobs.personio.de/job/2650274", "externalId" : "2650274", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brussels", "country" : "Belgium", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.8467372,4.3524930" } ], "locationText" : "Brussels, Belgium", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, Power BI, DAX, Power Query, GA, GTM, Piwik PRO, Hotjar, Clarity, Mouseflow, Scraping", "professionalSkills" : [ "Data governance", "Data modelling", "Customer journey analysis", "Market intelligence", "Performance monitoring", "Product analytics", "Business insights", "Self-service analytics", "Data culture" ], "hardSkillsList" : [ "Event tracking", "Ecommerce tracking", "UTM discipline", "Measurement quality", "Analytics maturity", "Web scraping", "A/B testing", "CRO", "Data layer design", "Tracking specs design", "Performance optimisation" ], "softSkillsList" : [ "Analytical", "Communicator" ], "hardSkills" : [ { "name" : "Event tracking", "level" : "intermediate" }, { "name" : "Ecommerce tracking", "level" : "intermediate" }, { "name" : "UTM discipline", "level" : "intermediate" }, { "name" : "Measurement quality", "level" : "intermediate" }, { "name" : "Analytics maturity", "level" : "intermediate" }, { "name" : "Web scraping", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "CRO", "level" : "intermediate" }, { "name" : "Data layer design", "level" : "intermediate" }, { "name" : "Tracking specs design", "level" : "intermediate" }, { "name" : "Performance optimisation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Communicator" } ], "majorSkills" : "Data analysis, Web analytics, Ecommerce, Business intelligence", "majorSkillsList" : [ "Data analysis", "Web analytics", "Ecommerce", "Business intelligence" ], "coreResponsibilities" : "Ensure data accuracy, Ensure data structure, Ensure data compliance, Own tracking across website, Own tracking across webshop, Own tracking across marketing tools, Own tracking across future products, Design data layer, Design event taxonomy, Design tracking specs, Manage tagging (Piwik PRO / GA / GTM), Manage ecommerce tracking, Manage pixels, Manage UTMs, Manage paid media tracking, Validate implementations, Run audits (quality, consistency, GDPR, CMP), Monitor scripts, Monitor impact on Core Web Vitals, Build Power BI reporting, Define & align KPIs, Structure data models, Support business reviews, Enable self-service analytics, Translate complex data, Analyse journeys & funnels, Detect drop-offs, Identify optimisation opportunities, Support A/B testing, Support personalisation, Support CRO, Partner with teams, Turn insights into improvements, Monitor website performance, Analyse product usage, Analyse feature adoption, Support product analytics evolution, Support data-driven experiences, Support AI-enabled experiences, Benchmark competitors, Track trends, Explore AI analytics, Translate business needs, Work cross-functionally, Improve UTM discipline, Improve measurement quality, Improve analytics maturity, Drive data-driven culture", "teamCollaboration" : "Cross-functionally (Marketing, Product, BI, IT)", "domainKnowledge" : "Web analytics; Ecommerce; Event tracking; Conversion; Data layers; Tracking specs; UX analytics; CRO; A/B testing; Web scraping; Core Web Vitals; Performance optimisation; Digital product; AI analytics; Anomaly detection; Predictive insights", "domainList" : [ "web-analytics", "ecommerce", "event-tracking", "conversion", "data-layers", "tracking-specs", "ux-analytics", "cro", "a-b-testing", "web-scraping", "core-web-vitals", "performance-optimisation", "digital-product", "ai-analytics", "anomaly-detection", "predictive-insights" ], "domainSpecificKnowledge" : [ "Web analytics", "Ecommerce", "Event tracking", "Conversion", "Data layers", "Tracking specs", "UX analytics", "CRO", "A/B testing", "Web scraping", "Core Web Vitals", "Performance optimisation", "Digital product", "AI analytics", "Anomaly detection", "Predictive insights" ], "toolProficiency" : [ "Piwik PRO", "GA", "GTM", "Power BI", "Hotjar", "Clarity", "Mouseflow" ], "communicationSkills" : "Clear communicator; Business-driven narratives", "documentationSkills" : "Tracking specs", "innovationCreativity" : "AI-driven discovery; Search evolution; AI analytics", "problemSolvingSkills" : "Identify friction; Unlock growth; Identify opportunities; Root cause analysis", "outcomesObjectives" : "Data is accurate, compliant and trusted; Conversion opportunities identified & activated; Reporting becomes predictive and actionable; Real data culture is embedded", "qualificationsBasic" : "Piwik PRO / GA / GTM + GDPR / CMP, Web analytics experience, Ecommerce experience, Event tracking experience, Conversion experience, Data layers design, Tracking specs design, Power BI (DAX, Power Query), UX analytics tools (Hotjar, Clarity…), CRO / A&B testing experience, Web scraping (Python or tools)", "qualificationsPreferred" : "SQL / BigQuery, Core Web Vitals / performance optimisation, Ecommerce / digital product environment", "rawDescription" : "Your purpose at Stanley/Stella We’re looking for a Digital Data Specialist who will own and elevate our entire measurement ecosystem , turning raw data into clear, actionable insights that directly impact business decisions, customer journeys, and performance. You won’t just report numbers. You’ll challenge assumptions, uncover opportunities and influence strategy across marketing, ecommerce and digital products. You are the bridge between data, business and experience . Your role and impact 1. Tracking & Data Governance Ensure data is accurate, structured and compliant across all touchpoints. Own tracking across website, webshop, marketing tools and future products Design data layer, event taxonomy & tracking specs Manage tagging (Piwik PRO / GA / GTM): events, ecommerce, pixels, UTMs, paid media Validate implementations & run audits (quality, consistency, GDPR, CMP) Monitor scripts & impact on Core Web Vitals 2. Reporting & Business Insights Turn data into decision-making tools , not just dashboards. Build Power BI reporting (DAX, Power Query, AI) Define & align KPIs: performance, acquisition, funnels, retention, campaigns, AI visibility Structure robust data models for consistent tracking Support business reviews with clear insights (risks, opportunities, actions) Enable self-service analytics with strong governance Translate complex data into simple, business-driven narratives 3. Customer Journey Analysis, CRO & Optimisation Identify friction and unlock growth. Analyse journeys & funnels (Hotjar, Clarity, Mouseflow) Detect drop-offs & optimisation opportunities Support A/B testing, personalisation & CRO Partner with teams to turn insights into measurable improvements 4. Performance Monitoring & Product Analytics Connect performance, usage and product evolution. Monitor website performance (Core Web Vitals, RumVision) with IT Analyse product usage & feature adoption Contribute to event-based / product analytics evolution Support data-driven, AI-enabled experiences 5. Market Intelligence Bring an external, forward-looking perspective. Benchmark competitors (traffic, pricing, UX, visibility) via scraping & tools Track trends: AI-driven discovery, search evolution Explore AI analytics: anomaly detection, predictive insights 6. Cross-functional Collaboration & Data Culture Be the go-to expert for analytics. Translate business needs into measurable solutions Work cross-functionally (Marketing, Product, BI, IT) Improve UTM discipline, measurement quality, analytics maturity Drive a strong data-driven culture About you Must-have Strong experience: Piwik PRO / GA / GTM + GDPR / CMP Solid knowledge: web analytics, ecommerce, event tracking, conversion Experience designing data layers & tracking specs Strong Power BI (DAX, Power Query) UX analytics tools (Hotjar, Clarity…) Experience in CRO / A&B testing Web scraping (Python or tools) Sharp analytical + clear communicator Nice to have SQL / BigQuery Core Web Vitals / performance optimisation Ecommerce / digital product environment What Success Looks Like Data is accurate, compliant and trusted Conversion opportunities are identified & activated Reporting becomes predictive and actionable A real data culture is embedded", "summaryDescription" : "Digital Data Specialist at Stanley/Stella. Skills: Data analysis, Web analytics, Ecommerce, Business intelligence. Ensure data accuracy. Ensure data structure", "createdAt" : "2026-06-14T01:38:32.484", "lastUpdated" : "2026-06-15T10:53:01.670", "ingestTimestamp" : "2026-06-14T01:38:32.484", "mongoId" : "6a2c732374d8ee00a0932722", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Event tracking", "Ecommerce tracking", "UTM discipline", "Measurement quality", "Analytics maturity", "Web scraping", "A/B testing", "CRO", "Data layer design", "Tracking specs design", "Performance optimisation", "Analytical", "Communicator", "Data analysis", "Web analytics", "Ecommerce", "Business intelligence", "Data governance", "Data modelling", "Customer journey analysis", "Market intelligence", "Performance monitoring", "Product analytics", "Business insights", "Self-service analytics", "Data culture", "Conversion", "Data layers", "Tracking specs", "UX analytics", "Core Web Vitals", "Digital product", "AI analytics", "Anomaly detection", "Predictive insights", "Piwik PRO", "GA", "GTM", "Power BI", "Hotjar", "Clarity", "Mouseflow" ], "skillCount" : 42, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 710.81537, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a455d74d8ee00a05d1dfa", "title" : "Junior Robotics Automation Engineer", "company" : "Harmattan AI", "industry" : "P&I", "salary" : { "min" : 38000.0, "max" : 52000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Junior Robotics Automation Engineer in Wissous, France, adjusted for the technology industry and entry-level experience." }, "location" : "Wissous", "locations" : [ "Wissous" ], "timestamp" : "2026-06-13T20:10:45.509", "fingerprint" : "05aed5d801de806a06dc44bb2a937ae66a8dcfc233dc7708fdc0def7170e0deb", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/harmattan-ai/c5975afd-c1a8-4fdb-803b-e0fcb19a31b7/application", "externalId" : "c5975afd-c1a8-4fdb-803b-e0fcb19a31b7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Wissous", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.7316381,2.3268669" } ], "locationText" : "Wissous, France", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Robotics, Automation, PLCs, Siemens TIA Portal, Siemens S7, Sensors, Actuators, Motion systems, Vision systems, Force/torque sensing, Automated quality inspection, Industry 4.0", "professionalSkills" : [ "Automation investments", "Supplier management", "Cost tracking", "Budget control", "Lead time management", "OEE improvements", "Root cause analysis", "Lean manufacturing" ], "hardSkillsList" : [ "Robotics design", "Automation design", "Robotics integration", "Automation integration", "Supplier technical assessment", "Supplier commercial assessment", "Cost control", "Quality control", "Delivery management", "Root cause analysis", "Corrective actions" ], "softSkillsList" : [ "Ownership", "Execution", "Rigor", "Prioritization" ], "hardSkills" : [ { "name" : "Robotics design", "level" : "intermediate" }, { "name" : "Automation design", "level" : "intermediate" }, { "name" : "Robotics integration", "level" : "intermediate" }, { "name" : "Automation integration", "level" : "intermediate" }, { "name" : "Supplier technical assessment", "level" : "intermediate" }, { "name" : "Supplier commercial assessment", "level" : "intermediate" }, { "name" : "Cost control", "level" : "intermediate" }, { "name" : "Quality control", "level" : "intermediate" }, { "name" : "Delivery management", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Corrective actions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership" }, { "name" : "Execution" }, { "name" : "Rigor" }, { "name" : "Prioritization" } ], "majorSkills" : "Robotics Automation, Automation Cells, Supplier Management, Industrial Equipment", "majorSkillsList" : [ "Robotics Automation", "Automation Cells", "Supplier Management", "Industrial Equipment" ], "coreResponsibilities" : "Design automation and robotics cells, Assemble automation and robotics cells, Commission automation and robotics cells, Integrate robotic systems, Integrate sensors, Integrate actuators, Validate industrial equipment, Deploy industrial equipment, Execute rapid iterations on automation cells, Conduct technical assessments, Conduct commercial assessments, Define technical requirements, Define functional specifications, Manage integrators end-to-end, Track cost, Control budget, Manage lead time, Challenge supplier proposals, Monitor cell performance, Drive OEE improvements, Identify root causes of faults, Implement corrective actions, Ensure automation cells compatibility", "teamCollaboration" : "Collaborate with production teams; Interact with operators; Interact with engineers", "projectManagementSkills" : [ "RFQ", "Design reviews", "FAT/SAT", "Go-live management", "Cost tracking", "Budget control", "Lead time management" ], "domainKnowledge" : "Autonomous systems; Mixed-model assembly; Industrial automation; Robotics; Defense systems; Cell safety standards; Industry 4.0; Lean manufacturing", "domainList" : [ "autonomous-systems", "mixed-model-assembly", "industrial-automation", "robotics", "defense-systems", "cell-safety-standards", "industry-4-0", "lean-manufacturing" ], "domainSpecificKnowledge" : [ "Autonomous systems", "Mixed-model assembly", "Industrial automation", "Robotics", "Defense systems", "Cell safety standards", "Industry 4.0", "Lean manufacturing" ], "toolProficiency" : [ "Universal Robots", "Doosan", "FANUC", "KUKA", "Siemens TIA Portal", "Siemens S7" ], "communicationSkills" : "Technical specifications; Functional requirements; French; English", "documentationSkills" : "Technical specifications; Functional requirements", "innovationCreativity" : "Rapid iterations", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "Hands-on on shopfloor", "outcomesObjectives" : "Strengthen manufacturing capacity; Drive OEE improvements", "qualificationsBasic" : "Degree in Robotics, Mechatronics, Automation Engineering, or equivalent, 0–3 years of experience, Hands-on experience with industrial and collaborative robots, Working knowledge of PLCs, Familiarity with sensors, actuators, motion systems, Ability to write clear technical specifications, Comfortable managing suppliers and integrators, Rigorous, structured, and able to prioritize, Good communication in French and English", "qualificationsPreferred" : "Familiarity with vision systems, Familiarity with force/torque sensing, Familiarity with automated quality inspection, Understanding of OEE metrics, Understanding of lean manufacturing principles, Exposure to Industry 4.0 tools, Comfortable operating in ambiguous environments, Excellent written and verbal communication, 100% dedication to Harmattan AI’s mission", "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT US Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. ABOUT THE ROLE As an Automation & Robotics Project Engineer within Harmattan AI's Automation & Industrialisation team, you will work alongside a Senior Automation & Robotics Engineer to design and commission robotics and automation cells hands-on, on a modular mixed-model assembly line built to run multiple quadcopter platforms on shared infrastructure. You will own the full integrator relationship — defining requirements, managing suppliers technically and commercially, and controlling cost, quality, and delivery. Operating in a live ramp-up environment, you will make real industrial decisions on where and when automation creates value — directly strengthening Harmattan AI's capacity to manufacture autonomous systems at speed and scale. RESPONSIBILITIES Hands-On Automation and robotics - Design, assemble, and commission automation and robotics cells hands-on, directly within the shopfloor environment. - Integrate robotic systems, sensors, and actuators into modular stations compatible with a mixed-model assembly line. - Validate and deploy industrial equipment in collaboration with production teams to ensure operational readiness. - Execute rapid iterations on automation cells to keep pace with evolving products and processes during the production ramp-up. - Conduct technical and commercial assessments to justify automation investments and create value before implementation. Integrator & Supplier Management - Define technical requirements and functional specifications for automation integrators. - Manage integrators end-to-end — from RFQ and design reviews through FAT/SAT and go-live. - Own cost tracking, budget control, and lead time management on automation projects. - Challenge supplier proposals technically and commercially — hold them to quality, cost, and delivery. Performance & Continuous Improvement - Monitor cell performance post-deployment and drive OEE improvements across the shared line. - Identify root causes of faults and implement corrective actions — on the floor or with suppliers. - Ensure automation cells remain compatible with mixed-model production as the product portfolio grows. - Feed lessons learned into future specifications and cell designs. CANDIDATE REQUIREMENTS Essential Qualifications - Degree in Robotics, Mechatronics, Automation Engineering, or equivalent. - 0–3 years of experience — hands-on internships and academic projects are fully valued. - Practical hands-on experience with industrial and collaborative robots including brands such as Universal Robots, Doosan, FANUC, or KUKA. - Working knowledge of PLCs — notably Siemens TIA Portal/S7 — and associated automation architectures. - Familiarity with sensors, actuators, motion systems, and cell-level safety standards. - Ability to write clear technical specifications and functional requirements. - Comfortable managing suppliers and integrators — technically, commercially, and on schedule. - Thrives in fast-moving, iterative environments with incomplete information and evolving processes. - Rigorous, structured, and able to prioritize under ramp-up pressure. - Good communication in French and English — able to interact clearly with operators and engineers - Hands-on mindset; at ease on the shopfloor, not just behind a screen Preferred Skills - Familiarity with vision systems, force/torque sensing, or automated quality inspection. - Understanding of OEE metrics and lean manufacturing principles. - Exposure to Industry 4.0 tools — digital twins, IoT, or predictive maintenance concepts. - Comfortable operating in ambiguous environments where processes are still being built - Communication & Influence: Excellent written and verbal communication in French and English, capable of leading diverse principals – from junior members to senior executives. - Commitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence. We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.", "summaryDescription" : "Junior Robotics Automation Engineer at Harmattan AI. Skills: Robotics Automation, Automation Cells, Supplier Management, Industrial Equipment. Design automation and robotics cells. Assemble automation and robotics cells", "postedDate" : "2026-06-11T17:09:31.261", "createdAt" : "2026-06-11T17:09:31.261", "lastUpdated" : "2026-06-13T20:10:45.509", "ingestTimestamp" : "2026-06-11T17:09:31.261", "mongoId" : "6a2a455d74d8ee00a05d1dfa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Robotics design", "Automation design", "Robotics integration", "Automation integration", "Supplier technical assessment", "Supplier commercial assessment", "Cost control", "Quality control", "Delivery management", "Root cause analysis", "Corrective actions", "Ownership", "Execution", "Rigor", "Prioritization", "Robotics Automation", "Automation Cells", "Supplier Management", "Industrial Equipment", "Automation investments", "Supplier management", "Cost tracking", "Budget control", "Lead time management", "OEE improvements", "Lean manufacturing", "RFQ", "Design reviews", "FAT/SAT", "Go-live management", "Autonomous systems", "Mixed-model assembly", "Industrial automation", "Robotics", "Defense systems", "Cell safety standards", "Industry 4.0", "Universal Robots", "Doosan", "FANUC", "KUKA", "Siemens TIA Portal", "Siemens S7" ], "skillCount" : 43, "jobCategory" : "other", "jobSubcategory" : "p&i", "dataQualityScore" : 1.0, "_score" : 709.1469, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense" }, { "id" : "6a305a41f292fd229cf4e9d1", "title" : "Robotics Forward Deployed Engineer", "company" : "Tutor Intelligence", "industry" : "Customer Experience", "salary" : { "min" : 80000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Watertown, MA", "locations" : [ "Watertown, MA" ], "timestamp" : "2026-06-16T11:52:19.595", "fingerprint" : "e33ad9f4fed71afdb55282859adcf88dcdff477f0d35660d5d7ecdf1f4ba314a", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/tutorintelligence/96219c90-a468-477a-b8e9-dd80bfe82b8e/apply", "externalId" : "96219c90-a468-477a-b8e9-dd80bfe82b8e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Watertown", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3652576,-71.1843234" } ], "locationText" : "Watertown, Massachusetts, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Robotics, Automation, Software, Scripts, Tooling, Dashboards, Playbook logic", "professionalSkills" : [ "Customer-oriented", "Technical credibility", "Judgment", "Relationship orientation", "Communication" ], "hardSkillsList" : [ "Root-cause analysis", "System diagnosis" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Root-cause analysis", "level" : "intermediate" }, { "name" : "System diagnosis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Robotics deployment, Customer support, Automation scripting", "majorSkillsList" : [ "Robotics deployment", "Customer support", "Automation scripting" ], "coreResponsibilities" : "Own customer sites end-to-end, Be primary technical partner, Build deep trust with teams, Be accountable for success, Automate repetitive work, Convert manual interventions, Develop working knowledge of systems, Diagnose issues, Build real solutions, Resolve ambiguous issues, Partner with engineering, Package high-confidence cases, Bring field validation, Track fleet health, Track fleet performance, Act proactively on signals, Be voice of customers, Translate field reality, Partner with Account Executives, Create openings for growth", "teamCollaboration" : "Customer operations teams; Customer engineering teams; Customer maintenance teams; Internal roadmap; Engineering teams", "projectManagementSkills" : [ "Playbook development" ], "domainKnowledge" : "Robotics; Industrial automation; Manufacturing systems; Warehouse technology; Logistics technology; Physical AI", "domainList" : [ "robotics", "industrial-automation", "manufacturing-systems", "warehouse-technology", "logistics-technology", "physical-ai" ], "domainSpecificKnowledge" : [ "Robotics", "Industrial automation", "Manufacturing systems", "Warehouse technology", "Logistics technology", "Physical AI" ], "toolProficiency" : [ "Logs", "Telemetry" ], "communicationSkills" : "Technical communication; Plain-spoken communication", "innovationCreativity" : "Build tooling; Build scripts; Build dashboards; Build playbook logic", "problemSolvingSkills" : "Diagnose issues; Resolve issues; Root-cause analysis", "specialRequirements" : "Roughly 30% travel, Work on factory floors, Work on warehouse floors, Early shifts, Wear PPE, Work in noise, Work in industrial environments", "outcomesObjectives" : "Make sites need you less; Solve hard problems; Drive deeper fixes; Translate field reality into insight", "qualificationsBasic" : "3–7+ years technical role, Technical depth in robotics, Technical depth in industrial automation, Technical depth in controls, Technical depth in mechatronics, Technical depth in manufacturing systems, Technical depth in warehouse/logistics technology, Work hands-on with software, Work hands-on with physical systems, Read logs and telemetry, Reason about a system, Write scripts/tooling, Automate a manual process, Thrives in ambiguity, Judgment about what to fix, Judgment about what to automate, Judgment about what to escalate, Genuine relationship orientation, Clear communication, Technically credible with customer teams, Plain-spoken with operators", "qualificationsPreferred" : "Direct experience deploying robotics, Direct experience supporting robotics, Background in warehouse operations, Background in manufacturing operations, Background in industrial operations, Experience bringing field context, Deep interest in robotics, Deep interest in automation, Deep interest in physical AI", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description The Company Tutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory and warehouse. We understand that general-purpose and generally intelligent robots are going to be built in our lifetimes, and we’re not content to sit on the sidelines. Founded by MIT alumni and backed with over $40M in funding by leading investors in AI and robotics, Tutor combines human and artificial intelligence to build something greater than the sum of its parts — a Tutor Intelligence. As an AI software company that deploys its inventions directly into the facilities that need them, every line of code, process change, and decision at Tutor has a direct impact on the physical economy. The Role We're looking for a technically credible, customer-oriented engineer to own a portfolio of customer sites running Tutor robots in production. You'll be the primary partner for each of your sites — the person their operations, engineering, and maintenance teams call first when something matters — and you'll be accountable for the operational and technical success of those deployments over time. This isn't a traditional customer success role, and it isn't core product engineering. You won't own the product roadmap or build new robotic capabilities — that's R&D. But you will write code: the scripts, tooling, dashboards, and playbook logic that turn today's manual interventions into things that run themselves. The point of the job is to make your sites need you less over time, and to solve the hard, multi-factor problems that no playbook covers yet. You'll develop deep working knowledge of how our robots actually behave in the real world, diagnose issues across software, mechanical, and process dimensions, and partner with engineering to drive the deeper fixes — bringing the field context, prioritization, and validation that makes those fixes right. The role is also genuinely relationship-driven. The customers in your portfolio will know you, trust you, and rely on you. You'll spend real time on-site at your facilities, remote time on diagnosis, tuning, and building, and ongoing time partnering with your customers' engineering and operations leaders. Your insights from the field will directly shape our product roadmap. This role sits at the intersection of robotics, operations, and customer partnership — and the right person is energized by all three. ## Responsibilities Own a portfolio of customer sites end-to-end: be the primary technical partner for each, build deep trust with their operations, engineering, and maintenance teams, and be accountable for the operational and technical success of those deployments. Automate yourself out of the repetitive work. Convert recurring manual interventions into tooling, scripts, and playbooks that your customers and our remote team can run without you. The fleet grows; your manual workload shouldn't. This is the core of the job, not a side effect. Develop deep working knowledge of our robot systems — software, hardware, and operational characteristics — sufficient to diagnose issues credibly and build real solutions at the boundary of the product. Diagnose and resolve ambiguous, multi-factor issues in real-world environments — across software configuration, mechanical adjustment, process change, and root-cause analysis — and own the ones with no playbook yet. Partner with engineering on the deeper fixes: package high-confidence cases with repro conditions, logs, and a likely root cause, and bring field validation rather than just a complaint. Track the health and performance of your fleet — uptime, reliability, throughput, customer satisfaction — and act proactively on early signals. Be the voice of your customers in our internal roadmap conversations; translate field reality into structured product insight. Partner with Account Executives on expansion conversations, where operational success creates natural openings for growth. ## Requirements You clear a real technical floor, and then we select hard on judgment and people skills. Both halves matter; the second is what we weight most. The technical floor (pass/fail): 3–7+ years in a technical, ideally customer-facing role: applications/field engineering, robotics deployment, solutions engineering, technical account management, or similar. Technical depth in at least one of: robotics, industrial automation, controls, mechatronics, manufacturing systems, or warehouse/logistics technology. Comfortable working hands-on with both software and physical systems in messy operational environments. You can read logs and telemetry, reason about a system you didn't build, and write the scripts/tooling to automate a manual process — you don't need to have built the robot from scratch. What we actually rank on: Thrives in ambiguity — can take a vague, half-described, multi-factor problem with no clear owner and drive it to resolution. This is the single quality we weight most heavily. Strong judgment about what to fix yourself, what to automate, and what to escalate. Genuine relationship orientation — you take pride in being trusted by a customer over years, not just in shipping a project. Clear communication in both directions: technically credible with customer engineering and ops teams, and plain-spoken with non-technical operators and leaders. The reality of the job: Roughly 30% travel to customer sites. The work happens on factory and warehouse floors — early shifts, PPE, noise, and real industrial environments. If that energizes you, great; if it doesn't, this isn't the role. ## Nice to haves (zero or more) Direct experience deploying or supporting robotics in production. Background in warehouse, manufacturing, or other industrial operations. Experience bringing field context into engineering decisions to resolve technical issues. Deep interest in robotics, automation, or the future of physical AI. ## Why This Role Is Unique Work at the intersection of cutting-edge robotics and real-world industrial operations. Own the success of real customers running real robots in production — your work directly determines whether the future of physical AI happens in their facility. Join during a period of rapid growth, where this function is central to scaling the fleet. Help define what this function looks like at Tutor — you'll be among the people who build the tooling and playbooks that later hires inherit.", "summaryDescription" : "Robotics Forward Deployed Engineer at Tutor Intelligence. Skills: Robotics deployment, Customer support, Automation scripting. Own customer sites end-to-end. Be primary technical partner", "postedDate" : "2026-06-14T19:12:14.846", "createdAt" : "2026-06-14T19:12:14.846", "lastUpdated" : "2026-06-16T11:52:19.595", "ingestTimestamp" : "2026-06-16T03:23:44.124", "mongoId" : "6a305a41f292fd229cf4e9d1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 80000, "salaryAnnualMax" : 160000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Root-cause analysis", "System diagnosis", "Leadership", "Robotics deployment", "Customer support", "Automation scripting", "Customer-oriented", "Technical credibility", "Judgment", "Relationship orientation", "Communication", "Playbook development", "Robotics", "Industrial automation", "Manufacturing systems", "Warehouse technology", "Logistics technology", "Physical AI", "Logs", "Telemetry" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 708.20435, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308d16f292fd229c09ef8b", "title" : "Digital Customer Engagement Specialist (IGT1)", "company" : "Kyriba", "industry" : "Information Technology And Services", "salary" : { "min" : 2000000.0, "max" : 3500000.0, "currency" : "LKR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Digital Customer Engagement Specialist in Colombo, Sri Lanka, adjusted for the SaaS industry." }, "location" : "Colombo, Western Province, LK", "locations" : [ "Colombo", "Western Province", "LK" ], "timestamp" : "2026-06-16T11:58:54.688", "fingerprint" : "86574083ff37a1bba42eb2829022a1febdff693949527d756987344362cb9624", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/IFS1/744000132168602-digital-customer-engagement-specialist-igt1-", "externalId" : "744000132168602", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Colombo", "state" : "Western Province", "country" : "Sri Lanka", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "6.9388614,79.8542005" } ], "locationText" : "Colombo, Western Province, Sri Lanka", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AI", "professionalSkills" : [ "Customer insights", "Value realization", "Strategic engagement", "Data analysis", "Business intelligence", "Customer success", "Customer operations", "SaaS analytics", "Financial modeling", "Risk assessment", "Customer onboarding", "Customer retention", "Customer expansion", "Customer adoption", "Customer value", "Customer reporting", "Customer insights generation", "Value tracking", "Workflow optimization" ], "hardSkillsList" : [ "Product usage analysis", "Adoption trend analysis", "Customer health analysis", "Engagement data analysis", "Data translation", "Data visualization", "Customer ROI analysis", "Business impact analysis", "Customer lifecycle management", "Customer education", "Customer journey design", "Time-to-value analysis", "Operational automation", "Analytical automation", "Process building", "Reporting automation", "Insights automation", "Value tracking automation", "AI workflow development", "Autonomous agent development", "Team productivity improvement", "Customer health monitoring", "Risk identification", "Opportunity identification" ], "hardSkills" : [ { "name" : "Product usage analysis", "level" : "intermediate" }, { "name" : "Adoption trend analysis", "level" : "intermediate" }, { "name" : "Customer health analysis", "level" : "intermediate" }, { "name" : "Engagement data analysis", "level" : "intermediate" }, { "name" : "Data translation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Customer ROI analysis", "level" : "intermediate" }, { "name" : "Business impact analysis", "level" : "intermediate" }, { "name" : "Customer lifecycle management", "level" : "intermediate" }, { "name" : "Customer education", "level" : "intermediate" }, { "name" : "Customer journey design", "level" : "intermediate" }, { "name" : "Time-to-value analysis", "level" : "intermediate" }, { "name" : "Operational automation", "level" : "intermediate" }, { "name" : "Analytical automation", "level" : "intermediate" }, { "name" : "Process building", "level" : "intermediate" }, { "name" : "Reporting automation", "level" : "intermediate" }, { "name" : "Insights automation", "level" : "intermediate" }, { "name" : "Value tracking automation", "level" : "intermediate" }, { "name" : "AI workflow development", "level" : "intermediate" }, { "name" : "Autonomous agent development", "level" : "intermediate" }, { "name" : "Team productivity improvement", "level" : "intermediate" }, { "name" : "Customer health monitoring", "level" : "intermediate" }, { "name" : "Risk identification", "level" : "intermediate" }, { "name" : "Opportunity identification", "level" : "intermediate" } ], "majorSkills" : "Customer Success, Data Analysis, Digital Engagement, Automation", "majorSkillsList" : [ "Customer Success", "Data Analysis", "Digital Engagement", "Automation" ], "coreResponsibilities" : "Analyze product usage, Analyze adoption trends, Analyze customer health indicators, Analyze engagement data, Identify opportunities for customer value, Identify risk signals, Identify adoption gaps, Identify expansion opportunities, Translate complex customer data, Support strategic customer conversations, Partner with Customer Engagement Executives, Partner with Account Managers, Drive stronger customer outcomes, Drive business value realization, Develop Business Review materials, Develop executive-ready presentations, Create data-driven narratives, Demonstrate customer ROI, Demonstrate adoption progress, Demonstrate business impact, Support customer-facing programs, Strengthen engagement throughout lifecycle, Manage high-volume portfolio, Execute scalable customer programs, Support onboarding initiatives, Support adoption initiatives, Support renewal readiness, Support customer education initiatives, Design customer journeys, Drive faster time-to-value, Drive long-term customer success, Leverage AI technologies, Improve engagement at scale, Identify automation opportunities, Automate operational activities, Automate analytical activities, Build repeatable processes, Develop AI-powered workflows, Implement AI-powered workflows, Develop autonomous agents, Implement autonomous agents, Increase customer touchpoints, Improve team productivity, Drive digital customer success strategy, Drive AI-enabled customer success strategy, Manage broad book of business, Monitor customer health, Identify and address risks, Uncover opportunities for expansion, Act quickly on customer signals, Deliver timely engagement, Deliver impactful engagement", "teamCollaboration" : "Global teams; Multiple time zones; Customer Engagement Executives; Account Managers", "domainKnowledge" : "Treasury management; Cash management; Payments; Liquidity; Finance operations; Financial workflows", "domainList" : [ "treasury-management", "cash-management", "payments", "liquidity", "finance-operations", "financial-workflows" ], "domainSpecificKnowledge" : [ "Treasury management", "Cash management", "Payments", "Liquidity", "Finance operations", "Financial workflows" ], "toolProficiency" : [ "Salesforce", "Gainsight" ], "communicationSkills" : "Executive presentations; Data-driven narratives", "problemSolvingSkills" : "Solving complex customer challenges", "outcomesObjectives" : "Drive adoption; Drive retention; Drive expansion; Drive measurable business value; Achieve greater value; Strengthen engagement; Drive faster time-to-value; Drive long-term success; Improve engagement at scale; Increase customer touchpoints; Improve team productivity; Customer adoption; Customer retention; Customer growth; Address risks early; Uncover expansion opportunities; Deliver timely engagement; Deliver impactful engagement", "qualificationsBasic" : "3–6 years Customer Success experience, 3–6 years Customer Operations experience, 3–6 years SaaS Analytics experience, 3–6 years Business Intelligence experience, 3–6 years related customer-facing SaaS role, Experience in high-volume environments, Experience in scaled customer success environments, Analytical skills, Ability to interpret product usage data, Ability to interpret customer engagement metrics, Ability to interpret business performance indicators, Experience building executive-ready presentations, Experience building reports, Experience building dashboards, Experience building customer insights, Familiarity with Salesforce, Familiarity with Gainsight, Familiarity with similar CRM platforms, Excellent written communication skills, Excellent verbal communication skills, Ability to work across global teams, Ability to work multiple time zones, Comfortable in fast-paced environment, Comfortable in data-driven environment", "qualificationsPreferred" : "SaaS environment experience, Cloud software environment experience, Fintech environment experience, Treasury management experience, Cash management experience, Payments experience, Financial technology environment experience, Understanding of treasury management, Understanding of cash management, Understanding of payments, Understanding of liquidity, Understanding of finance operations, Understanding of financial workflows, Familiarity with customer health scoring, Familiarity with retention metrics, Familiarity with customer lifecycle management, Familiarity with adoption analytics, Experience supporting digital customer success, Experience supporting scaled engagement programs, Exposure to AI tools, Exposure to automation platforms, Exposure to customer engagement technologies, Exposure to workflow optimization solutions, Experience leveraging AI", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About IGT1: IGT1 is a rapidly growing offshore technology and talent solutions company based in Port City Colombo. We are a fully owned subsidiary of IGT I Holdings Sweden AB, funded by the three of world’s leading private equity firms; EQT Group, Hg, and TA Associates and also a sister company of IFS. At IGT1, we partner with global businesses to provide them with an operation that maximizes efficiency, spurs growth, allows them to develop and deliver world-class products and services, and creates long-term value. Our people-first culture champions diversity, teamwork, and continuous learning, creating an environment where talent thrives. With a team of over 500 professionals and counting, we are always looking for passionate, skilled individuals who want to make a global impact while being part of something extraordinary. Through our offshore collaboration model, you'll be embedded within the team of one of our esteemed international clients, contributing directly to high-impact, enterprise-level initiatives. About the Client: Kyriba Kyriba empowers CFOs and their teams to transform how they activate liquidity as a dynamic, real-time vehicle for growth and value creation, while protecting against financial risk. Kyriba's pioneering Active Liquidity Network connects internal applications for treasury, risk, payments, and working capital with vital external sources such as banks, ERPs, trading platforms, and market data providers. At Kyriba, we believe that every team member plays a role in driving innovation and delivering exceptional value to our customers worldwide. Joining our Sri Lanka team means becoming part of a global fintech leader committed to excellence, collaboration, and continuous learning. About the Role: This is an exciting opportunity to join a fast-growing, SaaS company where customer success, data, automation, and AI come together to create exceptional customer experiences. Treasury, cash management, payments, or broader finance experience is desirable, as many of our customers operate within complex financial environments. Reporting to the Director, Customer Engagement, EMEA, you'll sit at the intersection of customer strategy, analytics, operations, content, and technology, helping us build scalable customer engagement programs that drive adoption, retention, expansion, and measurable business value. This role is ideal for someone who enjoys solving complex customer challenges through data, digital engagement, automation, and innovative thinking. Drive Customer Insights & Value Realization * Analyze product usage, adoption trends, customer health indicators, and engagement data to uncover actionable insights. * Identify opportunities for customers to achieve greater value through deeper product adoption. * Surface risk signals, adoption gaps, and expansion opportunities across customer segments. * Translate complex customer data into clear recommendations that support strategic customer conversations. * Partner with Customer Engagement Executives (CEEs) and Account Managers (AMs) to drive stronger customer outcomes and business value realization. Enable Strategic Customer Engagement * Develop Business Review (BR) materials and executive-ready presentations. * Create compelling, data-driven narratives that demonstrate customer ROI, adoption progress, and business impact. * Support customer-facing programs that strengthen engagement throughout the customer lifecycle. Scale Digital Customer Success * Manage a high-volume portfolio of customer relationships through digital-first engagement strategies. * Execute scalable customer programs using automation, webinars, office hours, playbooks, and targeted campaigns. * Support onboarding, adoption, renewal readiness, and customer education initiatives. * Help design customer journeys that drive faster time-to-value and long-term success. * Leverage AI-powered customer success technologies to improve engagement at scale. Improve Efficiency Through Automation & AI * Identify opportunities to automate operational and analytical activities currently performed manually by Customer Success teams. * Build repeatable processes for customer reporting, insights generation, and value tracking. * Develop and implement AI-powered workflows and autonomous agents that increase customer touchpoints while improving team productivity. * Help drive the organization's digital and AI-enabled customer success strategy. Own Customer Outcomes * Manage a broad book of business with a focus on customer adoption, retention, and growth. * Monitor customer health using platforms such as Gainsight and Salesforce. * Identify and address risks early while uncovering opportunities for expansion. * Act quickly on customer signals to deliver timely and impactful engagement. ## Qualifications Required Qualifications * 3–6 years of experience in Customer Success, Customer Operations, SaaS Analytics, Business Intelligence, or a related customer-facing SaaS role. * Experience working within high-volume or scaled customer success environments. * Strong analytical skills with the ability to interpret product usage data, customer engagement metrics, and business performance indicators. * Experience building executive-ready presentations, reports, dashboards, and customer insights. * Familiarity with Customer Success and CRM platforms such as Salesforce, Gainsight, or similar technologies. * Excellent written and verbal communication skills. * Ability to work effectively across global teams and multiple time zones. * Comfortable operating in a fast-paced, data-driven environment. Preferred Experience * Experience working within a SaaS, cloud software, fintech, treasury, payments, or financial technology environment. * Understanding of treasury management, cash management, payments, liquidity, finance operations, or related financial workflows. * Familiarity with customer health scoring, retention metrics, customer lifecycle management, and adoption analytics. * Experience supporting digital customer success or scaled engagement programs. * Exposure to AI tools, automation platforms, customer engagement technologies, and workflow optimization solutions. * Experience leveraging AI to improve operational efficiency and customer outcomes. ## Additional Information We champion flexibility and hybrid work options to support varying lifestyles and personal needs. At the same time, we value the power of in-person collaboration to build community, spark innovation, and strengthen connections. Our approach ensures you can work in ways that suit you best while still engaging with colleagues to share ideas and grow together. #LI-Hybrid #LI-DNP", "summaryDescription" : "Digital Customer Engagement Specialist (IGT1) at Kyriba. Skills: Customer Success, Data Analysis, Digital Engagement, Automation. Analyze product usage. Analyze adoption trends", "postedDate" : "2026-06-15T11:00:06.000", "createdAt" : "2026-06-16T03:35:11.105", "lastUpdated" : "2026-06-16T11:58:54.688", "ingestTimestamp" : "2026-06-16T03:35:11.105", "mongoId" : "6a308d16f292fd229c09ef8b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Product usage analysis", "Adoption trend analysis", "Customer health analysis", "Engagement data analysis", "Data translation", "Data visualization", "Customer ROI analysis", "Business impact analysis", "Customer lifecycle management", "Customer education", "Customer journey design", "Time-to-value analysis", "Operational automation", "Analytical automation", "Process building", "Reporting automation", "Insights automation", "Value tracking automation", "AI workflow development", "Autonomous agent development", "Team productivity improvement", "Customer health monitoring", "Risk identification", "Opportunity identification", "Customer Success", "Data Analysis", "Digital Engagement", "Automation", "Customer insights", "Value realization", "Strategic engagement", "Data analysis", "Business intelligence", "Customer success", "Customer operations", "SaaS analytics", "Financial modeling", "Risk assessment", "Customer onboarding", "Customer retention", "Customer expansion", "Customer adoption", "Customer value", "Customer reporting", "Customer insights generation", "Value tracking", "Workflow optimization", "Treasury management", "Cash management", "Payments", "Liquidity", "Finance operations", "Financial workflows", "Salesforce", "Gainsight" ], "skillCount" : 55, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 706.96027, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.97 }, { "id" : "6a30685df292fd229cfc3aa8", "title" : "Digital Customer Engagement Specialist (IGT1)", "company" : "Kyriba", "industry" : "Information Technology And Services", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "LKR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Digital Customer Engagement Specialist in Colombo, Sri Lanka, adjusted for the SaaS industry." }, "location" : "Colombo, Western Province, LK", "locations" : [ "Colombo", "Western Province", "LK" ], "timestamp" : "2026-06-16T09:40:06.727", "fingerprint" : "d835c8e55cc75161f3ec6ec404039401d4f3b53654d771e88441b0c3828fda15", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/IFS1/744000132168602-digital-customer-engagement-specialist-igt1-", "externalId" : "744000132168602", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Colombo", "state" : "Western Province", "country" : "Sri Lanka", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "6.9388614,79.8542005" } ], "locationText" : "Colombo, Western Province, Sri Lanka", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AI", "professionalSkills" : [ "Customer insights", "Value realization", "Customer engagement", "Data analysis", "Business value", "Customer outcomes", "Business review", "Customer ROI", "Adoption progress", "Business impact", "Customer lifecycle", "Customer education", "Time-to-value", "Operational efficiency", "Analytical activities", "Insights generation", "Value tracking", "Team productivity" ], "hardSkillsList" : [ "Product usage analysis", "Adoption trend analysis", "Customer health analysis", "Engagement data analysis", "Data translation", "Customer data analysis", "Customer reporting", "Risk signal identification", "Adoption gap identification", "Expansion opportunity identification", "Customer value realization", "Customer adoption", "Customer retention", "Customer growth", "Customer health monitoring", "Risk identification", "Opportunity identification", "Customer signal response" ], "hardSkills" : [ { "name" : "Product usage analysis", "level" : "intermediate" }, { "name" : "Adoption trend analysis", "level" : "intermediate" }, { "name" : "Customer health analysis", "level" : "intermediate" }, { "name" : "Engagement data analysis", "level" : "intermediate" }, { "name" : "Data translation", "level" : "intermediate" }, { "name" : "Customer data analysis", "level" : "intermediate" }, { "name" : "Customer reporting", "level" : "intermediate" }, { "name" : "Risk signal identification", "level" : "intermediate" }, { "name" : "Adoption gap identification", "level" : "intermediate" }, { "name" : "Expansion opportunity identification", "level" : "intermediate" }, { "name" : "Customer value realization", "level" : "intermediate" }, { "name" : "Customer adoption", "level" : "intermediate" }, { "name" : "Customer retention", "level" : "intermediate" }, { "name" : "Customer growth", "level" : "intermediate" }, { "name" : "Customer health monitoring", "level" : "intermediate" }, { "name" : "Risk identification", "level" : "intermediate" }, { "name" : "Opportunity identification", "level" : "intermediate" }, { "name" : "Customer signal response", "level" : "intermediate" } ], "majorSkills" : "Customer Success, Data Analysis, Digital Engagement, Automation", "majorSkillsList" : [ "Customer Success", "Data Analysis", "Digital Engagement", "Automation" ], "coreResponsibilities" : "Analyze product usage, Analyze adoption trends, Analyze customer health indicators, Analyze engagement data, Uncover actionable insights, Identify opportunities for customers, Achieve greater value, Surface risk signals, Surface adoption gaps, Surface expansion opportunities, Translate complex customer data, Support strategic customer conversations, Partner with Customer Engagement Executives, Partner with Account Managers, Drive stronger customer outcomes, Drive business value realization, Develop Business Review materials, Develop executive-ready presentations, Create compelling data-driven narratives, Demonstrate customer ROI, Demonstrate adoption progress, Demonstrate business impact, Support customer-facing programs, Strengthen engagement throughout customer lifecycle, Manage high-volume portfolio, Execute scalable customer programs, Support onboarding initiatives, Support adoption initiatives, Support renewal readiness initiatives, Support customer education initiatives, Design customer journeys, Drive faster time-to-value, Drive long-term success, Leverage AI-powered technologies, Improve engagement at scale, Identify automation opportunities, Automate operational activities, Automate analytical activities, Build repeatable processes, Implement AI-powered workflows, Implement autonomous agents, Increase customer touchpoints, Improve team productivity, Drive digital customer success strategy, Drive AI-enabled customer success strategy, Manage broad book of business, Monitor customer health, Address risks early, Uncover opportunities for expansion, Act quickly on customer signals, Deliver timely engagement, Deliver impactful engagement", "teamCollaboration" : "Global teams; Customer Engagement Executives; Account Managers", "domainKnowledge" : "Treasury management; Cash management; Payments; Liquidity; Finance operations; Financial workflows", "domainList" : [ "treasury-management", "cash-management", "payments", "liquidity", "finance-operations", "financial-workflows" ], "domainSpecificKnowledge" : [ "Treasury management", "Cash management", "Payments", "Liquidity", "Finance operations", "Financial workflows" ], "toolProficiency" : [ "Salesforce", "Gainsight" ], "communicationSkills" : "Executive presentations; Data-driven narratives", "problemSolvingSkills" : "Solving complex customer challenges", "outcomesObjectives" : "Drive adoption; Drive retention; Drive expansion; Drive measurable business value; Achieve greater value; Strengthen engagement; Drive faster time-to-value; Drive long-term success; Improve engagement at scale; Increase customer touchpoints; Improve team productivity; Customer adoption; Customer retention; Customer growth", "qualificationsBasic" : "3–6 years Customer Success experience, 3–6 years Customer Operations experience, 3–6 years SaaS Analytics experience, 3–6 years Business Intelligence experience, 3–6 years related customer-facing SaaS role experience, Experience in high-volume or scaled customer success environments, Analytical skills, Ability to interpret product usage data, Ability to interpret customer engagement metrics, Ability to interpret business performance indicators, Experience building executive-ready presentations, Experience building reports, Experience building dashboards, Experience building customer insights, Familiarity with Customer Success platforms, Familiarity with CRM platforms, Excellent written communication skills, Excellent verbal communication skills, Ability to work effectively across global teams, Ability to work across multiple time zones, Comfortable operating in a fast-paced environment, Comfortable operating in a data-driven environment", "qualificationsPreferred" : "SaaS environment experience, Cloud software environment experience, Fintech environment experience, Treasury management experience, Cash management experience, Payments experience, Liquidity experience, Finance operations experience, Related financial workflows experience, Understanding of customer health scoring, Understanding of retention metrics, Understanding of customer lifecycle management, Understanding of adoption analytics, Experience supporting digital customer success programs, Experience supporting scaled engagement programs, Exposure to AI tools, Exposure to automation platforms, Exposure to customer engagement technologies, Exposure to workflow optimization solutions, Experience leveraging AI for operational efficiency, Experience leveraging AI for customer outcomes", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About IGT1: IGT1 is a rapidly growing offshore technology and talent solutions company based in Port City Colombo. We are a fully owned subsidiary of IGT I Holdings Sweden AB, funded by the three of world’s leading private equity firms; EQT Group, Hg, and TA Associates and also a sister company of IFS. At IGT1, we partner with global businesses to provide them with an operation that maximizes efficiency, spurs growth, allows them to develop and deliver world-class products and services, and creates long-term value. Our people-first culture champions diversity, teamwork, and continuous learning, creating an environment where talent thrives. With a team of over 500 professionals and counting, we are always looking for passionate, skilled individuals who want to make a global impact while being part of something extraordinary. Through our offshore collaboration model, you'll be embedded within the team of one of our esteemed international clients, contributing directly to high-impact, enterprise-level initiatives. About the Client: Kyriba Kyriba empowers CFOs and their teams to transform how they activate liquidity as a dynamic, real-time vehicle for growth and value creation, while protecting against financial risk. Kyriba's pioneering Active Liquidity Network connects internal applications for treasury, risk, payments, and working capital with vital external sources such as banks, ERPs, trading platforms, and market data providers. At Kyriba, we believe that every team member plays a role in driving innovation and delivering exceptional value to our customers worldwide. Joining our Sri Lanka team means becoming part of a global fintech leader committed to excellence, collaboration, and continuous learning. About the Role: This is an exciting opportunity to join a fast-growing, SaaS company where customer success, data, automation, and AI come together to create exceptional customer experiences. Treasury, cash management, payments, or broader finance experience is desirable, as many of our customers operate within complex financial environments. Reporting to the Director, Customer Engagement, EMEA, you'll sit at the intersection of customer strategy, analytics, operations, content, and technology, helping us build scalable customer engagement programs that drive adoption, retention, expansion, and measurable business value. This role is ideal for someone who enjoys solving complex customer challenges through data, digital engagement, automation, and innovative thinking. Drive Customer Insights & Value Realization * Analyze product usage, adoption trends, customer health indicators, and engagement data to uncover actionable insights. * Identify opportunities for customers to achieve greater value through deeper product adoption. * Surface risk signals, adoption gaps, and expansion opportunities across customer segments. * Translate complex customer data into clear recommendations that support strategic customer conversations. * Partner with Customer Engagement Executives (CEEs) and Account Managers (AMs) to drive stronger customer outcomes and business value realization. Enable Strategic Customer Engagement * Develop Business Review (BR) materials and executive-ready presentations. * Create compelling, data-driven narratives that demonstrate customer ROI, adoption progress, and business impact. * Support customer-facing programs that strengthen engagement throughout the customer lifecycle. Scale Digital Customer Success * Manage a high-volume portfolio of customer relationships through digital-first engagement strategies. * Execute scalable customer programs using automation, webinars, office hours, playbooks, and targeted campaigns. * Support onboarding, adoption, renewal readiness, and customer education initiatives. * Help design customer journeys that drive faster time-to-value and long-term success. * Leverage AI-powered customer success technologies to improve engagement at scale. Improve Efficiency Through Automation & AI * Identify opportunities to automate operational and analytical activities currently performed manually by Customer Success teams. * Build repeatable processes for customer reporting, insights generation, and value tracking. * Develop and implement AI-powered workflows and autonomous agents that increase customer touchpoints while improving team productivity. * Help drive the organization's digital and AI-enabled customer success strategy. Own Customer Outcomes * Manage a broad book of business with a focus on customer adoption, retention, and growth. * Monitor customer health using platforms such as Gainsight and Salesforce. * Identify and address risks early while uncovering opportunities for expansion. * Act quickly on customer signals to deliver timely and impactful engagement. ## Qualifications Required Qualifications * 3–6 years of experience in Customer Success, Customer Operations, SaaS Analytics, Business Intelligence, or a related customer-facing SaaS role. * Experience working within high-volume or scaled customer success environments. * Strong analytical skills with the ability to interpret product usage data, customer engagement metrics, and business performance indicators. * Experience building executive-ready presentations, reports, dashboards, and customer insights. * Familiarity with Customer Success and CRM platforms such as Salesforce, Gainsight, or similar technologies. * Excellent written and verbal communication skills. * Ability to work effectively across global teams and multiple time zones. * Comfortable operating in a fast-paced, data-driven environment. Preferred Experience * Experience working within a SaaS, cloud software, fintech, treasury, payments, or financial technology environment. * Understanding of treasury management, cash management, payments, liquidity, finance operations, or related financial workflows. * Familiarity with customer health scoring, retention metrics, customer lifecycle management, and adoption analytics. * Experience supporting digital customer success or scaled engagement programs. * Exposure to AI tools, automation platforms, customer engagement technologies, and workflow optimization solutions. * Experience leveraging AI to improve operational efficiency and customer outcomes. ## Additional Information We champion flexibility and hybrid work options to support varying lifestyles and personal needs. At the same time, we value the power of in-person collaboration to build community, spark innovation, and strengthen connections. Our approach ensures you can work in ways that suit you best while still engaging with colleagues to share ideas and grow together. #LI-Hybrid #LI-DNP", "summaryDescription" : "Digital Customer Engagement Specialist (IGT1) at Kyriba. Skills: Customer Success, Data Analysis, Digital Engagement, Automation. Analyze product usage. Analyze adoption trends", "postedDate" : "2026-06-15T11:00:06.000", "createdAt" : "2026-06-16T00:06:51.202", "lastUpdated" : "2026-06-16T09:40:06.727", "ingestTimestamp" : "2026-06-16T00:06:51.202", "mongoId" : "6a30685df292fd229cfc3aa8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Product usage analysis", "Adoption trend analysis", "Customer health analysis", "Engagement data analysis", "Data translation", "Customer data analysis", "Customer reporting", "Risk signal identification", "Adoption gap identification", "Expansion opportunity identification", "Customer value realization", "Customer adoption", "Customer retention", "Customer growth", "Customer health monitoring", "Risk identification", "Opportunity identification", "Customer signal response", "Customer Success", "Data Analysis", "Digital Engagement", "Automation", "Customer insights", "Value realization", "Customer engagement", "Data analysis", "Business value", "Customer outcomes", "Business review", "Customer ROI", "Adoption progress", "Business impact", "Customer lifecycle", "Customer education", "Time-to-value", "Operational efficiency", "Analytical activities", "Insights generation", "Value tracking", "Team productivity", "Treasury management", "Cash management", "Payments", "Liquidity", "Finance operations", "Financial workflows", "Salesforce", "Gainsight" ], "skillCount" : 48, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 706.96027, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c8c9674d8ee00a0975e4d", "title" : "International Expansion Intern (Robotics Data)", "industry" : "Operations", "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-15T09:43:51.841", "fingerprint" : "d691624d4112b9b49c03eb469dc78d63a4a843058d9c0e98acd538d0a2e81c6d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/xdof/9cb1de6b-165e-44bb-8eaf-367ffd5e0978/application", "externalId" : "9cb1de6b-165e-44bb-8eaf-367ffd5e0978", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Excel", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Negotiation" ], "hardSkillsList" : [ "Data acquisition", "Lead generation", "Funnel optimization", "Site evaluation", "Hardware calibration", "Data pipeline management", "SLA enforcement", "KPI tracking", "Data verification" ], "hardSkills" : [ { "name" : "Data acquisition", "level" : "intermediate" }, { "name" : "Lead generation", "level" : "intermediate" }, { "name" : "Funnel optimization", "level" : "intermediate" }, { "name" : "Site evaluation", "level" : "intermediate" }, { "name" : "Hardware calibration", "level" : "intermediate" }, { "name" : "Data pipeline management", "level" : "intermediate" }, { "name" : "SLA enforcement", "level" : "intermediate" }, { "name" : "KPI tracking", "level" : "intermediate" }, { "name" : "Data verification", "level" : "intermediate" } ], "majorSkills" : "Robotics data, International expansion, Data acquisition network, Field operations", "majorSkillsList" : [ "Robotics data", "International expansion", "Data acquisition network", "Field operations" ], "coreResponsibilities" : "Build international robotics data acquisition network, Scale international robotics data acquisition network, Secure high-fidelity physical world data, Acquire high-value venues, Sign strategic local agencies, Source target venues, Negotiate target venues, Close target venues, Recruit local partners, Manage local partners, Design inbound lead generation funnels, Optimize inbound lead generation funnels, Improve websites, Improve landing pages, Improve lead-capture systems, Build lead qualification infrastructure, Build lead follow-up infrastructure, Evaluate real-world environments, Own field deployment, Own hardware calibration, Own cold-start operations, Establish local data pipelines, Optimize local data pipelines, Train vendors, Enforce SLA, Track KPI, Implement verification systems, Eliminate data fabrication, Eliminate bad-faith sourcing", "teamCollaboration" : "Partnering with Sales; Cross-functional capability", "domainKnowledge" : "Robotics data; Embodied AI; Machine learning data; Teleoperation workflows; Egocentric vision; First-person vision", "domainList" : [ "robotics-data", "embodied-ai", "machine-learning-data", "teleoperation-workflows", "egocentric-vision", "first-person-vision" ], "domainSpecificKnowledge" : [ "Robotics data", "Embodied AI", "Machine learning data", "Teleoperation workflows", "Egocentric vision", "First-person vision" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "Traveling frequently, Executing directly", "qualificationsBasic" : "3–5+ years international growth, 3–5+ years field operations, 3–5+ years ground execution, Sourcing overseas agencies, Onboarding overseas agencies, Managing overseas agencies, Sourcing vendor networks, Onboarding vendor networks, Managing vendor networks, Sourcing B2B channel partners, Onboarding B2B channel partners, Managing B2B channel partners, Translate technical data specifications, Cross-functional capability, Analytical funnel management, High-stakes field negotiation", "qualificationsPreferred" : "Professional fluency Spanish, Working proficiency Spanish, Fluency Portuguese, Working proficiency Portuguese, Other target-market languages", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ROLE MISSION Build and scale our international robotics data acquisition network from scratch across target markets (e.g., LATAM, SEA, Africa). This role owns the end-to-end pipeline of securing high-fidelity physical world data (Egocentric video, Teleoperation datasets, etc.) by acquiring individual high-value venues and signing strategic, multi-scenario local agencies. RESPONSIBILITIES - Data Scenario BD & Strategic Partnerships: Source, negotiate, and close high-value target venues overseas; actively recruit and manage local partners capable of delivering turnkey access to multi-scenario networks - Inbound & Funnel Optimization: Design and optimize inbound lead generation funnels from first touch to conversion; systematically improve websites, landing pages, and lead-capture systems while partnering with Sales to build bulletproof lead qualification and follow-up infrastructure. - Scene Evaluation & Infrastructure Deployment: Evaluate real-world environments against strict criteria for embodied AI and robotics training; own the field deployment, calibration, and cold-start operations of high-precision, multi-modal data collection hardware. - Ground Operations & Anti-Fraud Management: Establish and optimize end-to-end local data pipelines from scratch; own vendor training, SLA enforcement, and KPI tracking while implementing rigorous verification systems to eliminate data fabrication and bad-faith sourcing. QUALIFICATIONS - 3–5+ years of experience managing international growth, field operations, or ground execution for major tech platforms, IoT companies, or hardware-enabled startups. - Proven track record of sourcing, onboarding, and managing overseas agencies, vendor networks, and B2B channel partners (Required). - Professional fluency in English; working proficiency or fluency in Spanish, Portuguese, or other target-market languages is highly preferred. - Solid grasp of Embodied AI and machine learning data fundamentals (e.g., Teleoperation workflows, Egocentric/First-Person vision requirements) with the ability to translate technical data specifications into field operational blueprints. - A resilient, \"builder\" mindset with a high tolerance for ambiguity, comfortable traveling frequently and executing directly in unstructured or high-friction environments. - Strong cross-functional capability, matching analytical funnel management (SQL/Excel, conversion rates) with high-stakes, face-to-face field negotiation.", "summaryDescription" : "International Expansion Intern (Robotics Data). Skills: Robotics data, International expansion, Data acquisition network, Field operations. Build international robotics data acquisition network. Scale international robotics data acquisition network", "createdAt" : "2026-06-14T04:06:14.476", "lastUpdated" : "2026-06-15T09:43:51.841", "ingestTimestamp" : "2026-06-14T04:06:14.476", "mongoId" : "6a2c8c9674d8ee00a0975e4d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Data acquisition", "Lead generation", "Funnel optimization", "Site evaluation", "Hardware calibration", "Data pipeline management", "SLA enforcement", "KPI tracking", "Data verification", "Robotics data", "International expansion", "Data acquisition network", "Field operations", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Negotiation", "Embodied AI", "Machine learning data", "Teleoperation workflows", "Egocentric vision", "First-person vision" ], "skillCount" : 26, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "_score" : 702.7401, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "id" : "69d5e4952beec4dd3d931865", "title" : "Technical Support Engineer, Grocery Robotics and Automation Systems", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, worldwide grocery stores", "salary" : { "min" : 90400.0, "max" : 158200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "USA", "locations" : [ "USA" ], "timestamp" : "2026-06-15T02:27:32.347", "fingerprint" : "4f8b602be710fec598ca6937da33883323a34cbf19c22ed0dc066da399b9f24b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385438/apply", "externalId" : "cef960b8-1f9f-4dd9-9dfc-c275afcc715f", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Robotics, Automation", "professionalSkills" : [ "System design", "Troubleshooting", "Root cause analysis" ], "hardSkillsList" : [ "Electrical troubleshooting", "Mechanical troubleshooting" ], "hardSkills" : [ { "name" : "Electrical troubleshooting", "level" : "intermediate" }, { "name" : "Mechanical troubleshooting", "level" : "intermediate" } ], "majorSkills" : "Robotics, Automation Systems, Technical Support", "majorSkillsList" : [ "Robotics", "Automation Systems", "Technical Support" ], "coreResponsibilities" : "Troubleshoot design activities, Troubleshoot performance activities, Troubleshoot testing activities, Monitor tickets, Resolve tickets, Maintain self-service tools, Create VoC feedback loops, Maintain VoC feedback loops, Manage downtime events, Monitor fleet availability, Report fleet availability, Manage network availability, Manage quality escalations, Manage stakeholder relationships, Manage vendor relationships, Maintain maintenance repository, Maintain operator reference, Support installation activities, Support commissioning activities, Monitor spare parts situation, Develop EOL trends, Develop pragmatic solutions, Build flexible systems, Design flexible systems, Debug problems, Resolve problems, Understand electrical troubleshooting, Understand mechanical troubleshooting, Follow engineering best practices, Drive adoption of best practices, Conduct standing meetings, Plan deliverables, Track deliverables, Deep dive technical details, Lead solutions, Lead critical path items, Escalate risks to leadership, Develop SME knowledge, Drive standards, Drive enhancements", "teamCollaboration" : "Operations teams; Engineering teams; Equipment Vendors; Software Developers; Procurement teams; Design teams; Cross-functional teams", "projectManagementSkills" : [ "Technical leadership" ], "domainKnowledge" : "Robotics systems; Automation systems; Grocery operations", "domainList" : [ "robotics-systems", "automation-systems", "grocery-operations" ], "domainSpecificKnowledge" : [ "Robotics systems", "Automation systems", "Grocery operations" ], "toolProficiency" : [ "Visio", "Word", "Excel", "PowerPoint" ], "communicationSkills" : "Communicate technical concepts; Communicate technical processes", "documentationSkills" : "Technical document writing", "innovationCreativity" : "Invent improvements", "problemSolvingSkills" : "Troubleshoot complex problems; Debug problems; Resolve problems", "specialRequirements" : "Travel up to 50%", "qualificationsBasic" : "Bachelor's degree in engineering, 5+ years integration experience, 5+ years testing experience, 5+ years automation experience, Experience working with equipment suppliers, Experience working with laboratories, Experience working with manufacturing plants, Travel up to 50% of the time, Experience designing systems, Experience architecting systems, Experience with general troubleshooting, Experience with debugging hardware, Experience using customer service skills, Experience using communication skills, Experience using interpersonal skills, Experience communicating technical concepts, Experience communicating technical processes, Experience working in fast-paced environment, Experience in hardware design, Experience in validation of components, Experience in validation of subsystems, Experience in validation of systems", "qualificationsPreferred" : "Technical leadership experience, Experience in development of large-scale projects, Experience in testing of large-scale projects, Experience in implementation of large-scale projects, Experience in development of complex technology projects, Experience in testing of complex technology projects, Experience in implementation of complex technology projects, Experience in technical document writing, Experience identifying robotics system components, Experience maintaining robotics system components", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Application deadline: May 10, 2026 Amazon's Worldwide Grocery Stores Tech (WWGST) - Robotics and Automation Systems (GRAS) is a dedicated team of highly motivated engineers that work passionately to apply innovative advances in robotics to solve real-world challenges that will transform our customers’ experiences in ways we can’t even image yet. We invent new improvements every day. We will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, unpredictable and fun. In this role, you will troubleshoot design, performance and testing activities for our newest Robotics and Automation solutions that are deployed in the field. The individual will be responsible for monitoring and resolving tickets escalated from operations and RME teams, maintain self-service troubleshooting tools, create and maintain VoC feedback loops, manage system-driven high severity downtime events, monitor and report on fleet level availability, manage network availability and quality escalations, manage stakeholder and vendor relationship to drive product support, maintain a repository of maintenance and operator reference, support on-site installation and commissioning activities for Automation solutions, and keep track of the site spare parts situation monitoring components to develop EOL (end of life) trends. You will work in close collaboration with our Operations teams, Engineering teams, Equipment Vendors, Software Developers and Procurement teams to deliver continuous improvement and tech troubleshooting aligned with business needs. Successful candidates will have strong experience in technology troubleshooting/development as well as testing within the large robotics systems discipline. (for example: industrial robotic picking cells, automated storage and retrieval systems, conveyor sub-systems). Key job responsibilities - Troubleshoot complex technical problems. - Monitor and resolve tickets escalated from Operations and RME teams. - Manage vendor relationships to drive product support. - Develop pragmatic solutions, building and/or designing flexible systems without over-engineering. - Debug and resolve problems at their root, stepping back to understand the broader context. - Understand fundamental electrical and mechanical troubleshooting. - Consistently follow engineering best practices and where possible drive their adoption. - Conduct multiple weekly standing meetings with internal teams and vendors to plan and track deliverables. - Deep dive on technical details and lead solutions. - Lead critical path schedule items and escalate to leadership on potential risks. - Work in close collaboration with operations, design teams, software teams and equipment vendors, working across multiple time zones. - Develop SME (subject matter expert) knowledge on advanced technology to drive standards and enhancements across projects. About the team The Grocery Automation and Robotics Systems Team innovates, designs, develops, and integrates automation solutions to reduce cost and time to serve, while improving customer and employee experience for our Grocery operations. Our road map focuses on systematically improving every aspect of Amazon’s Grocery operation from: associate experience, safety, costs, storage, throughput capacity, speed, flexibility, scalability, sustainability, operational performance and reliability. Our team members possess deep design experience and innovation skill sets in these technical areas. We work closely with internal partner teams in all geographies to align priorities, eliminate duplication or waste. Basic Qualifications: - Bachelor's degree in engineering or a related technical field - 5+ years of integration, testing and automation experience, or degree in advanced technology - Experience working with equipment suppliers, laboratories and manufacturing plants - Travel up to 50% of the time - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems, or experience with general troubleshooting/debugging of hardware - Experience using strong customer service, communication, and interpersonal skills - Experience communicating technical concepts and processes using clear, simple language and visuals - Experience working in a fast-paced environment similar to a high-tech start-up - Experience in hardware design and validation of components, subsystems and systems Preferred Qualifications: - Experience in technical leadership of development, testing, and implementation of large-scale, complex technology projects - Experience in technical document writing using Visio, Word, Excel, or PowerPoint - Experience identifying and maintaining robotics system components 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, , - 90,400.00 - 158,200.00 USD annually", "summaryDescription" : "Technical Support Engineer, Grocery Robotics and Automation Systems at Amazon.com Services LLC. Skills: Robotics, Automation Systems, Technical Support. Troubleshoot design activities. Troubleshoot performance activities", "postedDate" : "2026-06-13T04:06:51.365", "createdAt" : "2026-06-13T04:06:51.365", "lastUpdated" : "2026-06-15T02:27:32.347", "ingestTimestamp" : "2026-06-13T04:06:51.365", "mongoId" : "69d5e4952beec4dd3d931865", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385438/apply", "salaryAnnualMin" : 90400, "salaryAnnualMax" : 158200, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Electrical troubleshooting", "Mechanical troubleshooting", "Robotics", "Automation Systems", "Technical Support", "System design", "Troubleshooting", "Root cause analysis", "Technical leadership", "Robotics systems", "Automation systems", "Grocery operations", "Visio", "Word", "Excel", "PowerPoint" ], "skillCount" : 16, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 696.92584, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "69c94a7a9bc74574cbbb43ed", "title" : "Hardware Development Engineer, WWGS Robotics & Automation Systems", "company" : "Amazon.com Services LLC", "industry" : "Hardware Development, worldwide grocery stores", "salary" : { "min" : 117000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T04:18:30.082", "fingerprint" : "34f624ac3c08ea5d659f78b0f6d1c2ff999e06cbfe0d6d8fdd699de53aede742", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3196399/apply", "externalId" : "fdcc6e51-e19d-4308-945b-1d8d8f99541b", "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" : "CAD", "professionalSkills" : [ "Hardware design", "Mechanical design", "Systems engineering", "Quality engineering", "Vendor analysis", "Trade-off analysis", "Design feasibility", "Cost-effectiveness" ], "hardSkillsList" : [ "Hardware development", "Mechanical component design", "Prototype building", "Low-volume manufacturing", "Technical documentation" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Hardware development", "level" : "intermediate" }, { "name" : "Mechanical component design", "level" : "intermediate" }, { "name" : "Prototype building", "level" : "intermediate" }, { "name" : "Low-volume manufacturing", "level" : "intermediate" }, { "name" : "Technical documentation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Hardware development, Robotics automation, Mechanical engineering", "majorSkillsList" : [ "Hardware development", "Robotics automation", "Mechanical engineering" ], "coreResponsibilities" : "Design hardware components, Develop hardware components, Test hardware components, Design mechanical components, Develop mechanical components, Test mechanical components, Research commercially available solutions, Recommend commercially available solutions, Develop bespoke peripheral tools, Deliver CAD models, Deliver detailed drawings, Deliver test plans, Deliver trade studies, Deliver technical documentation, Solve hardware engineering problems, Evaluate vendor designs, Analyze material choices, Analyze mechanical approaches, Validate vendor performance claims, Build prototypes, Test prototypes, Partner with Product Managers, Partner with Systems Engineers, Partner with Quality Engineers, Partner with vendors, Work with suppliers, Work with manufacturers, Collaborate with Amazon Robotics teams, Communicate technical constraints, Optimize validation processes, Optimize test processes, Mentor peers, Train new team members, Participate in design reviews, Participate in scoping discussions, Participate in hiring activities", "teamCollaboration" : "Cross-functional teams; Interdisciplinary Systems Engineers; Quality Engineers; Vendors; Amazon Robotics teams", "projectManagementSkills" : [ "Scoping discussions" ], "domainKnowledge" : "Grocery automation; Automated Storage Retrieval Systems; Autonomous Mobile Robots; Robotic Arms; Warehouse environments", "domainList" : [ "grocery-automation", "automated-storage-retrieval-systems", "autonomous-mobile-robots", "robotic-arms", "warehouse-environments" ], "domainSpecificKnowledge" : [ "Grocery automation", "Automated Storage Retrieval Systems", "Autonomous Mobile Robots", "Robotic Arms", "Warehouse environments" ], "toolProficiency" : [ "SolidWorks", "Ansys" ], "communicationSkills" : "Communicate technical constraints", "documentationSkills" : "Technical documentation", "innovationCreativity" : "Innovative hardware solutions; Bespoke peripheral tools; Custom hardware development", "problemSolvingSkills" : "Troubleshooting design issues", "outcomesObjectives" : "Lower costs; Increase efficiency; Enhance customer experience; Deliver high-quality solutions; Ensure design feasibility; Ensure cost-effectiveness; Maximize value of physical automation; Engineer resilient solutions", "qualificationsBasic" : "4+ years mechanical engineering, Experience with prototyping", "qualificationsPreferred" : "SolidWorks simulation knowledge, Ansys Finite Element analysis knowledge, Experience designing complex mechanical products, Experience designing complex equipment at volume", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join Worldwide Grocery Store (WWGS), Robotics and Automation Systems (GRAS) Hardware and Systems team as we bridge advanced technology with operational excellence to revolutionize grocery automation at massive scale. As a Hardware Development Engineer, you'll design and validate innovative hardware solutions that directly impact Amazon's grocery fulfillment operations—lowering costs, increasing efficiency, and enhancing customer experience across millions of orders. Why This Role is Exciting: - Diverse Innovation Portfolio: Work on innovative systems spanning Automated Storage and Retrieval Systems, Autonomous Mobile Robots, Robotic Arms, and many others. - Real Impact at Scale: Your designs will directly influence Amazon's grocery automation strategy, affecting operational excellence and customer experience across the entire grocery fulfillment network. - Technical Ownership: Design bespoke peripheral tools and solutions when commercial alternatives don't meet Amazon's unique needs—you'll explore commercially available solutions, analyze vendor designs, develop custom hardware, and critically evaluate vendor assertions - Autonomous Contribution: Work independently with limited guidance on difficult hardware engineering problems, making critical trade-offs and influencing component and system design decisions - Cross-Functional Collaboration: Partner with Product Managers, Interdisciplinary Systems Engineers, Quality Engineers, vendors, and Amazon Robotics teams to deliver high-quality solutions - Growth-Oriented Culture: Join a team that values business impact over perfection, maintains healthy skepticism, and actively mentors engineers while providing clear paths for career advancement. Key job responsibilities Hardware Design & Development: - Design, develop, and test hardware and mechanical components for grocery automation systems with limited guidance. - Research and recommend commercially available solutions, making informed trade-offs between make vs. buy decisions. - Develop bespoke peripheral tools when commercial alternatives don't meet operational requirements. - Deliver CAD models, detailed drawings, test plans, trade studies, and technical documentation Technical Analysis & Validation: - Solve difficult hardware engineering problems across diverse automation systems including Automated Storage and Retrieval Systems, Autonomous Mobile Robots, and Robotic Arms. - Critically evaluate vendor designs, analyzing material choices and mechanical approaches. - Validate vendor performance claims through independent analysis and testing. - Build and test prototypes using rapid prototyping and low-volume manufacturing techniques. Cross-Functional Collaboration: - Partner with Product Managers, Interdisciplinary Systems Engineers, Quality Engineers, and vendors to deliver integrated solutions. - Work with suppliers and manufacturers to ensure design feasibility and cost-effectiveness. - Collaborate with Amazon Robotics teams on emerging technology integration. - Communicate technical constraints clearly to stakeholders across the organization. Process Improvement & Mentorship: - Optimize validation and test processes to enhance team productivity. - Begin mentoring peers and training new team members. - Participate in design reviews, scoping discussions, and hiring activities. A day in the life Your day might start reviewing CAD models for automation peripheral tools, then shift to design reviews with Systems Engineers discussing trade-offs for robotic solutions. You'll collaborate with Product Managers to translate business requirements into hardware specifications, analyze vendor proposals, and build prototypes using 3D printing or machining. Afternoons could involve testing components, troubleshooting design issues, or mentoring junior engineers. You'll partner with Quality Engineers, automation vendors, and Amazon Robotics teams to solve complex integration challenges across Amazon's grocery fulfillment network. About the team The GRAS Hardware and Systems Team bridges advanced technology with operational excellence to maximize the value of physical grocery automation at Amazon. Our team of Hardware Development Engineers and Interdisciplinary Systems Engineers focuses on rigorous analysis, smart design decisions, and purpose-built solutions that ensure automation systems deliver lower costs, greater efficiency, and scalable operations. We prioritize business impact over perfection, maintain healthy skepticism toward vendor assertions, and engineer solutions resilient enough to withstand demanding warehouse environments. Join a collaborative team actively building capacity while tackling diverse projects across automated storage systems, robotic arms, and fresh food production automation. Basic Qualifications: - 4+ years of working in mechanical engineering or equivalent experience - Experience with prototyping and implementation Preferred Qualifications: - Knowledge of SolidWorks simulation or Ansys Finite Element analysis tools - Experience in the design of complex mechanical products and equipment at volume 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 - 117,300.00 - 160,000.00 USD annually", "summaryDescription" : "Hardware Development Engineer, WWGS Robotics & Automation Systems at Amazon.com Services LLC. Skills: Hardware development, Robotics automation, Mechanical engineering. Design hardware components. Develop hardware components", "postedDate" : "2026-06-13T03:03:45.854", "createdAt" : "2026-06-13T03:03:45.854", "lastUpdated" : "2026-06-15T04:18:30.082", "ingestTimestamp" : "2026-06-13T03:03:45.854", "mongoId" : "69c94a7a9bc74574cbbb43ed", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3196399/apply", "salaryAnnualMin" : 117000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Hardware development", "Mechanical component design", "Prototype building", "Low-volume manufacturing", "Technical documentation", "Mentoring", "Robotics automation", "Mechanical engineering", "Hardware design", "Mechanical design", "Systems engineering", "Quality engineering", "Vendor analysis", "Trade-off analysis", "Design feasibility", "Cost-effectiveness", "Scoping discussions", "Grocery automation", "Automated Storage Retrieval Systems", "Autonomous Mobile Robots", "Robotic Arms", "Warehouse environments", "SolidWorks", "Ansys" ], "skillCount" : 24, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "_score" : 696.86426, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Robotics and Automation Systems" }, { "id" : "69fda4e24c40e2acd1b9971f", "title" : "Senior Mechatronics & Robotics Technician", "company" : "Amazon.com Services LLC", "industry" : "Facilities, Maintenance, Real Estate, Real Estate/Facilities, operations", "salary" : { "min" : 40.0, "max" : 46.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Whitestown, Indiana, USA", "locations" : [ "Whitestown, Indiana, USA" ], "timestamp" : "2026-06-15T10:04:03.840", "fingerprint" : "ea1a9626adbda9f3b70c1e19070929e794e3c59574774e9c3bf6798a1247d9a4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10413696/apply", "externalId" : "db285ce5-d1c8-408e-81ac-25bc9dd90bf2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Whitestown", "state" : "Indiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9972626,-86.3458296" } ], "locationText" : "Whitestown, Indiana, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Mechatronics, Robotics, Industrial automation, PLC programming, Robotic systems, Electrical systems, Mechanical systems, CAD software, Vision systems, Industrial networks", "professionalSkills" : [ "Troubleshooting", "Repair", "Technical documentation", "Safety protocols" ], "hardSkillsList" : [ "PLC troubleshooting", "Robotic system repair", "Electrical system repair", "Mechanical system repair" ], "hardSkills" : [ { "name" : "PLC troubleshooting", "level" : "intermediate" }, { "name" : "Robotic system repair", "level" : "intermediate" }, { "name" : "Electrical system repair", "level" : "intermediate" }, { "name" : "Mechanical system repair", "level" : "intermediate" } ], "majorSkills" : "Mechatronics, Robotics, Industrial automation", "majorSkillsList" : [ "Mechatronics", "Robotics", "Industrial automation" ], "coreResponsibilities" : "Perform maintenance and repair on mechatronic and robotic, Troubleshoot and diagnose issues with industrial automation systems, Program and troubleshoot PLCs, Maintain and repair robotic systems, Maintain and repair electrical and mechanical systems, Perform preventative maintenance on equipment, Read and interpret technical drawings and schematics, Ensure compliance with safety protocols and procedures, Document maintenance and repair activities, Collaborate with engineering teams on system improvements", "teamCollaboration" : "Collaborate with engineering teams", "domainKnowledge" : "Industrial automation systems; Robotic systems; Electrical systems; Mechanical systems; Safety protocols", "domainList" : [ "industrial-automation-systems", "robotic-systems", "electrical-systems", "mechanical-systems", "safety-protocols" ], "domainSpecificKnowledge" : [ "Industrial automation systems", "Robotic systems", "Electrical systems", "Mechanical systems", "Safety protocols" ], "toolProficiency" : [ "FANUC", "KUKA", "ABB", "Ethernet/IP", "Profinet" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Troubleshooting; Problem-solving", "qualificationsBasic" : "5+ years of experience in mechatronics or robotics, Experience with industrial automation systems, Experience with PLC programming and troubleshooting, Experience with robotic systems (e.g., FANUC, KUKA, ABB), Experience with electrical and mechanical systems, Experience with troubleshooting and repair of complex electromechanical systems, Experience with reading and interpreting technical drawings and schematics, Experience with safety protocols and procedures", "qualificationsPreferred" : "Associate's or Bachelor's degree in Mechatronics, Robotics, Electrical Engineering Technology, or related field, Experience with CAD software, Experience with vision systems, Experience with industrial networks (e.g., Ethernet/IP, Profinet), Experience with Lean Manufacturing principles", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Operations is at the heart of Amazon’s business. We are known for our speed, accuracy, and exceptional service. Our buildings deliver tens of thousands of products to hundreds of countries worldwide, every day. Reliability Maintenance & Engineering (RME) are the business partners that work tirelessly behind the scenes to make it all happen. We drive continuous improvement, and maintain all of the Robotics and Material Handling Equipment (MHE) to ensure our customers are met with the Amazon smile. Come join us on our journey! About the Role: As a Senior Mechatronics & Robotics Technician, you will lead service technicians in the installation and repair of automated packaging and distribution equipment. You will support the Operations Maintenance team by designing solutions for difficult problems and managing projects. You will help train and mentor service technicians and contract technicians. What Do We Offer? Amazon offers competitive compensation packages including comprehensive healthcare benefits starting on Day 1, matching 401(k) program, and up to 20 weeks of paid parental leave. But wait, there is more: We provide lightweight fire-resistant daily wear and composite toe safety shoes for your safety! Key job responsibilities Key job responsibilities include, but are not limited to: - You will maintain and oversee material handling equipment (MHE) and facility equipment, such as Fire Life Safety (FLS) systems - You will lead a team of service technicians and develop training plans, as well as oversee vendors making planned and emergency repairs - You will install, maintain, and troubleshoot relay logic, ladder diagrams, control components, photo-eyes, motor starters, limit switches, proximity sensors, solenoids, etc. - You will create and close out work orders with data including labor hours, equipment maintenance, and parts used, as well as develop job plans for emergency repair of critical assets- - You must be able to move up to 49lbs, stand and walk during shifts lasting up to 12 hours, climb ladders and gangways safely, and without limitation, as well as perform regular bending, lifting, stretching, and reaching both below the waist and above the head Please note that while we strive to accommodate employees' preferences for shift assignments, due to operational requirements and scheduling constraints, we cannot guarantee a specific shift assignment. Basic Qualifications: - High school or equivalent diploma - 1+ years of Microsoft Office products and applications experience - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - 4+ years of conducting predictive and preventative maintenance procedures experience - 4+ years of repairing material handling equipment (MHE), automated conveyor systems, or related mechanical/controls equipment experience - 4+ years of reading blueprints and electrical schematics experience - 4+ years of electrical and electronic principles experience - 4+ years of demonstrating safety standards experience - 4+ years of troubleshooting and diagnostics of material handling equipment (MHE) experience Preferred Qualifications: - Associate's degree in Mechatronics or a related technical field - Experience leading engineering teams as a mentor or tech lead - Experience working with material handling equipment (MHE) safety standards in accordance with OEM requirements - 2+ years of programmable logic controls (PLC) programming experience - 2+ years of robotics system components and controls experience 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, IN, WHITESTOWN - 40.00 - 46.00 USD hourly USA, IN, Whitestown - 40.00 - 46.00 USD hourly", "summaryDescription" : "Senior Mechatronics & Robotics Technician at Amazon.com Services LLC. Skills: Mechatronics, Robotics, Industrial automation. Perform maintenance and repair on mechatronic and robotic. Troubleshoot and diagnose issues with industrial automation systems", "postedDate" : "2026-06-13T18:02:47.657", "createdAt" : "2026-06-13T18:02:47.657", "lastUpdated" : "2026-06-15T10:04:03.840", "ingestTimestamp" : "2026-06-13T18:02:47.657", "mongoId" : "69fda4e24c40e2acd1b9971f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413696/apply", "salaryAnnualMin" : 83200, "salaryAnnualMax" : 95680, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "PLC troubleshooting", "Robotic system repair", "Electrical system repair", "Mechanical system repair", "Mechatronics", "Robotics", "Industrial automation", "Troubleshooting", "Repair", "Technical documentation", "Safety protocols", "Industrial automation systems", "Robotic systems", "Electrical systems", "Mechanical systems", "FANUC", "KUKA", "ABB", "Ethernet/IP", "Profinet" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 696.8632, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "69f46f064c40e2acd1b36b97", "title" : "Senior Mechatronics & Robotics Technician", "company" : "Amazon.com Services LLC", "industry" : "Facilities, Maintenance, Real Estate, Real Estate/Facilities, operations", "salary" : { "min" : 40.0, "max" : 46.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Maryville, Tennessee, USA", "locations" : [ "Maryville, Tennessee, USA" ], "timestamp" : "2026-06-15T06:40:53.563", "fingerprint" : "cf329b6a24df3ce31d6e2290d44ba6df14b27349b1e756b7a0c81ed470375eaf", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10383347/apply", "externalId" : "d7d956ab-f634-4eb4-8fc8-a31eb245f219", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Maryville", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.7564719,-83.9704593" } ], "locationText" : "Maryville, Tennessee, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Mechatronics, Robotics, Industrial automation, PLC programming, Robotic systems, Electrical systems, Mechanical systems, Diagnostic tools", "professionalSkills" : [ "Troubleshooting", "Repair", "Technical drawings", "Schematics interpretation" ], "hardSkillsList" : [ "PLC troubleshooting", "Robotic system repair", "Electrical system repair", "Mechanical system repair" ], "hardSkills" : [ { "name" : "PLC troubleshooting", "level" : "intermediate" }, { "name" : "Robotic system repair", "level" : "intermediate" }, { "name" : "Electrical system repair", "level" : "intermediate" }, { "name" : "Mechanical system repair", "level" : "intermediate" } ], "majorSkills" : "Mechatronics, Robotics, Industrial automation", "majorSkillsList" : [ "Mechatronics", "Robotics", "Industrial automation" ], "coreResponsibilities" : "Install, maintain, and repair mechatronic and robotic systems, Perform preventative maintenance on equipment, Troubleshoot and diagnose equipment malfunctions, Repair and replace faulty components, Calibrate equipment and systems, Test and validate system performance, Document maintenance and repair activities, Collaborate with engineering teams on system improvements, Ensure compliance with safety regulations", "teamCollaboration" : "Collaborate with engineering teams", "domainKnowledge" : "Industrial automation systems; Robotic systems; Electrical systems; Mechanical systems; Lean Manufacturing; Six Sigma", "domainList" : [ "industrial-automation-systems", "robotic-systems", "electrical-systems", "mechanical-systems", "lean-manufacturing", "six-sigma" ], "domainSpecificKnowledge" : [ "Industrial automation systems", "Robotic systems", "Electrical systems", "Mechanical systems", "Lean Manufacturing", "Six Sigma" ], "toolProficiency" : [ "Diagnostic equipment", "CAD software" ], "documentationSkills" : "Technical documentation; Schematics interpretation", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "qualificationsBasic" : "5+ years of experience in mechatronics or robotics, Experience with industrial automation systems, Experience with PLC programming and troubleshooting, Experience with robotic systems (e.g., FANUC, KUKA, ABB), Experience with electrical and mechanical systems, Experience with troubleshooting and repair of complex electromechanical systems, Experience with reading and interpreting technical drawings and schematics, Experience with diagnostic tools and equipment", "qualificationsPreferred" : "Associate's or Bachelor's degree in Mechatronics, Robotics, Electrical Engineering Technology, or related field, Experience with CAD software, Experience with Lean Manufacturing principles, Experience with Six Sigma methodologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Operations is at the heart of Amazon’s business. We are known for our speed, accuracy, and exceptional service. Our buildings deliver tens of thousands of products to hundreds of countries worldwide, every day. Reliability Maintenance & Engineering (RME) are the business partners that work tirelessly behind the scenes to make it all happen. We drive continuous improvement, and maintain all of the Robotics and Material Handling Equipment (MHE) to ensure our customers are met with the Amazon smile. Come join us on our journey! About the Role: As a Senior Mechatronics & Robotics Technician, you will lead service technicians in the installation and repair of automated packaging and distribution equipment. You will support the Operations Maintenance team by designing solutions for difficult problems and managing projects. You will help train and mentor service technicians and contract technicians. What Do We Offer? Amazon offers competitive compensation packages including comprehensive healthcare benefits starting on Day 1, matching 401(k) program, and up to 20 weeks of paid parental leave. But wait, there is more: We provide lightweight fire-resistant daily wear and composite toe safety shoes for your safety! Key job responsibilities Key job responsibilities include, but are not limited to: - You will maintain and oversee material handling equipment (MHE) and facility equipment, such as Fire Life Safety (FLS) systems - You will lead a team of service technicians and develop training plans, as well as oversee vendors making planned and emergency repairs - You will install, maintain, and troubleshoot relay logic, ladder diagrams, control components, photo-eyes, motor starters, limit switches, proximity sensors, solenoids, etc. - You will create and close out work orders with data including labor hours, equipment maintenance, and parts used, as well as develop job plans for emergency repair of critical assets- - You must be able to move up to 49lbs, stand and walk during shifts lasting up to 12 hours, climb ladders and gangways safely, and without limitation, as well as perform regular bending, lifting, stretching, and reaching both below the waist and above the head Please note that while we strive to accommodate employees' preferences for shift assignments, due to operational requirements and scheduling constraints, we cannot guarantee a specific shift assignment. Basic Qualifications: - High school or equivalent diploma - 1+ years of Microsoft Office products and applications experience - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - 4+ years of conducting predictive and preventative maintenance procedures experience - 4+ years of repairing material handling equipment (MHE), automated conveyor systems, or related mechanical/controls equipment experience - 4+ years of reading blueprints and electrical schematics experience - 4+ years of electrical and electronic principles experience - 4+ years of demonstrating safety standards experience - 4+ years of troubleshooting and diagnostics of material handling equipment (MHE) experience Preferred Qualifications: - Associate's degree in Mechatronics or a related technical field - Experience leading engineering teams as a mentor or tech lead - Experience working with material handling equipment (MHE) safety standards in accordance with OEM requirements - 2+ years of programmable logic controls (PLC) programming experience - 2+ years of robotics system components and controls experience 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, TN, Maryville - 40.00 - 46.00 USD hourly", "summaryDescription" : "Senior Mechatronics & Robotics Technician at Amazon.com Services LLC. Skills: Mechatronics, Robotics, Industrial automation. Install, maintain, and repair mechatronic and robotic systems. Perform preventative maintenance on equipment", "postedDate" : "2026-06-13T19:10:33.156", "createdAt" : "2026-06-13T19:10:33.156", "lastUpdated" : "2026-06-15T06:40:53.563", "ingestTimestamp" : "2026-06-13T19:10:33.156", "mongoId" : "69f46f064c40e2acd1b36b97", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10383347/apply", "salaryAnnualMin" : 83200, "salaryAnnualMax" : 95680, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "PLC troubleshooting", "Robotic system repair", "Electrical system repair", "Mechanical system repair", "Mechatronics", "Robotics", "Industrial automation", "Troubleshooting", "Repair", "Technical drawings", "Schematics interpretation", "Industrial automation systems", "Robotic systems", "Electrical systems", "Mechanical systems", "Lean Manufacturing", "Six Sigma", "Diagnostic equipment", "CAD software" ], "skillCount" : 19, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 693.8271, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c630674d8ee00a08f7f2c", "title" : "Product Manager - Robotics & Automation Programming Platform", "company" : "Vention", "industry" : "Industrial Automation", "salary" : { "min" : 105000.0, "max" : 145000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Product Manager in Montreal, Canada, within the Technology industry, adjusted for a full-time, onsite role at Vention." }, "location" : "Montreal, QC, Canada", "locations" : [ "Montreal", "QC", "Canada" ], "timestamp" : "2026-06-15T05:30:29.583", "fingerprint" : "e609fb4d3014766bdd8eaa43a00b3a1194566fa5c32485c5f5fb967005094234", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Vention/744000131949309-product-manager-robotics-automation-programming-platform", "externalId" : "744000131949309", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Montreal", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.5031824,-73.5698065" } ], "locationText" : "Montreal, Quebec, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "Python", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Product specification", "Product launches", "Product direction", "Prioritization", "Sales enablement", "Product metrics", "Backlog management", "Feature development", "Team staffing", "Technical debt elimination", "Refactoring" ], "hardSkillsList" : [ "Product management", "Benchmarking", "Data analysis", "Business logic", "Product reviews", "Go-to-market training", "Product metrics tracking", "Ticket prioritization", "Sprint planning", "Timeline tracking", "Business QA" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Product management", "level" : "intermediate" }, { "name" : "Benchmarking", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Business logic", "level" : "intermediate" }, { "name" : "Product reviews", "level" : "intermediate" }, { "name" : "Go-to-market training", "level" : "intermediate" }, { "name" : "Product metrics tracking", "level" : "intermediate" }, { "name" : "Ticket prioritization", "level" : "intermediate" }, { "name" : "Sprint planning", "level" : "intermediate" }, { "name" : "Timeline tracking", "level" : "intermediate" }, { "name" : "Business QA", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Product management, Robotics, Automation, Software platforms", "majorSkillsList" : [ "Product management", "Robotics", "Automation", "Software platforms" ], "coreResponsibilities" : "Conduct interviews with operators, controls engineers, integrators, and, Understand application requirements, feature gaps, and manufacturing constraints, Conduct benchmarking of competing automation programming environments, Conduct analysis to inform new product specifications, Evaluate performance of existing capabilities, Scope and maintain a unified product roadmap, Prepare detailed briefs for new features, Shape platform's evolution toward AI-augmented authoring, Lead preparation for Quarterly Product Reviews, Contribute to sales enablement material, Train go-to-market teams, Work closely with marketing team for product launch, Track and communicate key product metrics, Organize and prioritize ticket backlog, Break product briefs into sequenced tickets, Prepare and host sprint kick-offs, Track and report timelines for each feature, Measure team performance, Conduct business QA on new capabilities, Work with software teams and HR for staffing, Support dev-team productivity by scheduling technical debt elimination, Allow refactoring as part of new feature development", "teamCollaboration" : "Cross-functional collaboration; Internal stakeholders; External stakeholders; Software teams; Sales and marketing; Go-to-market teams; Marketing team; Software teams and HR; Dev-team productivity", "projectManagementSkills" : [ "Roadmap", "Prioritization", "Risk mitigation", "Contingency plans", "Project management", "Timeline tracking" ], "domainKnowledge" : "Robotics; Automation; Industrial automation; Machine tending; Palletizing; Assembly; Kitting; Robot arm programming; Motion planning; PLC/controls; HMI design; AI-assisted authoring", "domainList" : [ "robotics", "automation", "industrial-automation", "machine-tending", "palletizing", "assembly", "kitting", "robot-arm-programming", "motion-planning", "plc-controls", "hmi-design", "ai-assisted-authoring" ], "domainSpecificKnowledge" : [ "Robotics", "Automation", "Industrial automation", "Machine tending", "Palletizing", "Assembly", "Kitting", "Robot arm programming", "Motion planning", "PLC/controls", "HMI design", "AI-assisted authoring" ], "toolProficiency" : [ "AI-powered platform" ], "communicationSkills" : "Technical concepts; Product requirements", "documentationSkills" : "Technical requirements", "continuousLearning" : "Personalized development plans; Bi-annual employee review; In-house coaching program; Quarterly management training; World-Class Speaker Series; Professional development channels; Book allocation program", "innovationCreativity" : "AI-native authoring experience; AI-augmented authoring", "problemSolvingSkills" : "Analyze datasets; Analyze product usage data; Troubleshooting", "qualificationsBasic" : "Bachelor's degree in engineering, computer science, robotics, or equivalent, 3+ years of experience in product management in developer tools, software platforms, robotics, industrial technologies, or another highly technical domain, Ability to bridge technical software teams and business stakeholders, Analytical tool kit with ability to analyze datasets and product usage data, Excellent internal/external stakeholder management skills, Bias for speed and execution, Project management and risk mitigation mindset, Ability to work in a fast-paced environment with quick turnarounds and good time management", "qualificationsPreferred" : "Experience with developer tools, IDEs, low-code/no-code platforms, or AI-assisted authoring products, Familiarity with industrial automation applications, Hands-on experience with robot arm programming, motion planning, PLC/controls, or HMI design, Knowledge of Python programming, Experience bringing software products from concept to production at scale, Exposure to AI/agentic product experiences", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Headquartered in Montreal and Berlin, Vention helps manufacturers automate their operations in record time with the only hardware and software AI-powered platform built for the factory floor. Our technology powers over 25,000 machines across 4,000 factories across 5 continents and we have the privilege to work with a significant proportion of Fortune 500 manufacturers, from space rockets, to electrical cars, to robotics. At Vention, you’ll work alongside driven and talented people who care deeply about their craft and the impact they create. We’re a team of high achievers who grow through meaningful work, solving complex challenges, learning fast, and seeing the results of our efforts every day. We move quickly and aim high, but we do it together with care, collaboration, and respect. Our culture celebrates diverse perspectives and supports your growth through intentional development, strong leadership, and opportunities to make a real difference. As the Product Manager for Vention's Robotics & Automation Programming Platform, you will own the product roadmap for the software people use to program Vention machines and robots — from our visual, code-free authoring experience to our code-first development environment, along with the operator interfaces (HMI). This is the surface where a customer turns an idea into a running automation, and it is entering its most exciting chapter: a move toward a single, unified, AI-native authoring experience that meets non-technical users and expert developers on the same platform. In this role, you will interface with customers, integrators, and internal stakeholders to capture emerging needs, drive the software development teams building these products, and support sales and marketing for successful product launches. Leveraging your product management expertise and understanding of industrial automation, you will be uniquely positioned to guide product direction and drive effective prioritization of our effort and resources. More specifically, your role will include the following responsibilities: Product management * Conduct interviews with operators, controls engineers, integrators, and Vention's own commissioning team to understand application requirements, feature gaps, and real-world manufacturing constraints * Conduct benchmarking of competing automation programming environments, low-code/visual tools, and AI-assisted development experiences * Conduct analysis to inform new product specifications and evaluate the performance of existing capabilities (visual sequencing, code authoring, HMI building, robot programming, deployment, and debugging) * Scope and maintain a unified product roadmap spanning all authoring surfaces, the operator interface layer, and supporting tooling * Prepare detailed briefs for new features and capabilities, including technical requirements and business logic * Help shape the platform's evolution toward AI-augmented authoring and a more unified developer experience, balancing near-term customer value against the longer-term platform direction * Lead preparation for Quarterly Product Reviews * Contribute to sales enablement material and train go-to-market teams (Account Executives, Application Engineers, Customer Success, etc.) * Work closely with the marketing team to provide input for product launch campaigns * Track and communicate key product metrics including feature adoption, time-to-deploy an application, program reliability, support ticket volume, and user satisfaction across personas Product ownership * Organize and prioritize the ticket backlog across the visual editor, code editor, HMI, and supporting product workstreams * Break product briefs for new capabilities down into sequenced tickets for efficient execution * Prepare and host sprint kick-offs, ensuring the software teams support the scope and can successfully define the \"how\" * Track and report timelines for each feature/product and measure team performance - Conduct business QA on new capabilities to ensure the user experience elevates the Vention platform * Work with the software teams and HR to ensure teams are properly staffed with the expertise required to deliver the annual roadmap * Support dev-team productivity by scheduling periods of technical debt / bug elimination (or allowing some refactoring as part of new feature development) ## Qualifications * Bachelor's degree in engineering, computer science, robotics, or equivalent - 3+ years of experience in product management in the context of developer tools, software platforms, robotics, industrial technologies, or another highly technical domain - Ability to bridge technical software teams and business stakeholders, translating complex technical concepts into clear product requirements * Strong analytical tool kit with the ability to analyze datasets and product usage data - Excellent internal/external stakeholder management skills * Strong bias for speed and execution * Strong project management and risk mitigation mindset, with demonstrated ability to build contingency plans and execute them * Ability to work in a fast-paced environment with quick turnarounds and good time managements Nice to have * Experience with developer tools, IDEs, low-code/no-code platforms, or AI-assisted authoring products * Familiarity with industrial automation applications (e.g., machine tending, palletizing, assembly, kitting) * Hands-on experience with robot arm programming, motion planning, PLC/controls, or HMI design * Knowledge of Python programming * Experience bringing software products from concept to production at scale * Exposure to AI/agentic product experiences and an interest in where they intersect with industrial automation ## Additional Information What We Offer * Career pathing: Real opportunities to grow through personalized development plans, bi-annual employee reviews, and mentorship program * Professional development: Continuous training in performance management, inclusive leadership, leadership operating model, team building, and giving/receiving feedback * Gender diversity & inclusion: Pay equity reviews, inclusive policies, and a Women’s Employee Resource Group offering networking, mentorship, and quarterly learning sessions. * Hybrid work: Enjoy flexibility with our hybrid model, allowing you to work from home on select days. * Community engagement: Two paid volunteering days per year to give back to causes you care about. * Central location: Regular team gatherings and a collaborative office space in the heart of Montreal, surrounded by cafés and restaurants. * Team events: All year round employee events including annual kick-off, employee summit, quarterly happy hours, and department events. * Comprehensive benefits: A complete group benefits plan for you and your family that start day one. * Top-up and benefits for new parents: Additional financial support and resources to support employees during their transition to parenthood. What to Expect in Your Interview * Initial Call * Meet the Team * Case or take-home interview * Decision & Offer We’re committed to making every step of the process inclusive and accessible. If you require accommodations at any stage, please let us know, we’ll ensure you have what you need to succeed. Professional Growth & Development Vention believes strongly in promotion from within. For this reason, we structured a comprehensive professional development program that elevate high-performing individuals who deeply understand the inner workings of Vention. This program encompasses: * In-house coaching program with former industry executives working with small cohort of emerging leaders * Quarterly management training on topics ranging from “Giving & Receiving Feedback, to Building high-performing teams, to \"Developing your own Leadership model” * Quarterly World-Class Speaker Series featuring industry leaders sharing their perspective and lessons learned as they build their function and business * Dedicated professional development channels sponsored by the Executive team to foster continuous professional learning * Book allocation program to further your knowledge in your domain of expertise or any business leadership topics Diversity, Inclusion & Belonging at Vention When you join Vention, you join a team of professionals with diverse experiences, backgrounds, and perspectives. Together, we’re building a workplace where everyone belongs, feels valued, and can achieve extraordinary results. We celebrate differences in ideas, in experiences, and in people. Our initiatives in gender equity, career growth, and leadership development are designed to create real opportunities for everyone to thrive. Vention’s culture Vention is an uplifting environment for high achievers. Thinking that Vention’s culture would keep you energized? See our full culture guide [here](https://assets.vention.io/downloads/pdf/CULTUREBOOKV2.pdf?gl=17683jbgclawR0NMLjE3NjI4MDAwNTguQ2p3S0NBaUF0OGJJQmhCcEVpd0F6SDF3NlJqQ2tmaXk1Z19qZkFVWU4wdHg5Y1lEbU9JUFJvdGx3SFpRQXhnaHpNMnZEblcteVkzM1Rob0MxWmdRQXZEX0J3RQ..gcl_au*MTI3OTkxMzM2NS4xNzYxNTgyNzUy).", "summaryDescription" : "Product Manager - Robotics & Automation Programming Platform at Vention. Skills: Product management, Robotics, Automation, Software platforms. Conduct interviews with operators, controls engineers, integrators, and. Understand application requirements, feature gaps, and manufacturing constraints", "postedDate" : "2026-06-12T17:21:53.000", "createdAt" : "2026-06-13T09:33:14.884", "lastUpdated" : "2026-06-15T05:30:29.583", "ingestTimestamp" : "2026-06-13T09:33:14.884", "mongoId" : "6a2c630674d8ee00a08f7f2c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Product management", "Benchmarking", "Data analysis", "Business logic", "Product reviews", "Go-to-market training", "Product metrics tracking", "Ticket prioritization", "Sprint planning", "Timeline tracking", "Business QA", "Leadership", "Robotics", "Automation", "Software platforms", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Product specification", "Product launches", "Product direction", "Prioritization", "Sales enablement", "Product metrics", "Backlog management", "Feature development", "Team staffing", "Technical debt elimination", "Refactoring", "Roadmap", "Risk mitigation", "Contingency plans", "Project management", "Industrial automation", "Machine tending", "Palletizing", "Assembly", "Kitting", "Robot arm programming", "Motion planning", "PLC/controls", "HMI design", "AI-assisted authoring", "AI-powered platform" ], "skillCount" : 45, "jobCategory" : "other", "jobSubcategory" : "Product", "dataQualityScore" : 1.0, "_score" : 693.53265, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing" } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 34521, "totalPages" : 691, "hasNext" : true, "hasPrevious" : false } }

Internship Digital Solutions Automation Robotics Data Jobs in London

Internship: Digital Solutions – Automation, Robotics & Data

Robotics Solutions Engineer

Digital Automation Analyst

Product Manager - Robotics & Automation Programming Platform

Digital Automation Analyst

Robotics Data Quality Engineer

Digital Automation Analyst 2

Internship in Data Management and Digitalization (International Student)

Digital Solutions Analyst

Manager, Digital Solutions

Internship in Data Management and Digitalization (International Student)

Intralogistics & Robotics Consultant

Head of Robotics & Automation Engineering (f/m/d)

Digital Automation Developer 1

Digital Automation Platform Manager

Operations Manager, Robotics Data

Sr. Automation Engineer, AME

Digital Automation Developer 2

Automation Engineer

Intern for Process Automation (Mandatory Internship)

Intralogistics & Robotics Consultant

Digital Automation Platform Manager

Robotics Process Automation (RPA) Developer

Intern - Digital Automation and Solutions Team

Digital Automation Developer 1

Technical Program Manager, Robotics Data

Senior Mechatronics & Robotics Technician

(Intern) Data Automation

Internship – Product & AI Engineering (Agentic Automation)

Mechatronics & Robotics Technician

Digital Transformation Program Manager – Smart Factory, Robotics and Automation

Mechatronics & Robotics Tech

Data Automation Engineer (AI Enablement)

Sr. Mechatronics Engineer, Robotics, Applied Automation

Internship – Product & AI Engineering (Agentic Automation)

Specialist - RPA (Robotic Process Automation) Development

Graphic Designer - Internship

2026 Global Client Solutions Internship

Graphic Designer - Internship

Digital Data Specialist

Junior Robotics Automation Engineer

Robotics Forward Deployed Engineer

Digital Customer Engagement Specialist (IGT1)

Digital Customer Engagement Specialist (IGT1)

International Expansion Intern (Robotics Data)

Technical Support Engineer, Grocery Robotics and Automation Systems

Hardware Development Engineer, WWGS Robotics & Automation Systems

Senior Mechatronics & Robotics Technician

Senior Mechatronics & Robotics Technician

Product Manager - Robotics & Automation Programming Platform

Common Questions