{ "count" : 54053, "data" : [ { "id" : "6a305c2df292fd229cf60ff5", "title" : "Arbetsledare Mark", "company" : "NCC", "industry" : "Construction", "salary" : { "min" : 475000.0, "max" : 650000.0, "currency" : "SEK", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Arbetsledare Mark in Malmö, Sweden, adjusted for the construction industry and NCC's company size." }, "location" : "Malmö, Skåne County, SE", "locations" : [ "Malmö", "Skåne County", "SE" ], "timestamp" : "2026-06-16T10:33:36.477", "fingerprint" : "26c2bfe6866c9a41b51c8a3ae687474fc881527a00a6937ed3da85b01f8e2d60", "source" : "smartrecruiters", "language" : "sv", "applyUrl" : "https://jobs.smartrecruiters.com/NCC/744000132187840-arbetsledare-mark", "externalId" : "744000132187840", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Malmö", "state" : "Skåne County", "country" : "Sweden", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "55.6052931,13.0001566" } ], "locationText" : "Malmö, Skåne County, Sweden", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Kalkylering", "Tidsplanering" ], "softSkillsList" : [ "Nyfiken", "Strukturerad", "Samarbetsvillig", "Kommunikativ" ], "softSkills" : [ { "name" : "Nyfiken" }, { "name" : "Strukturerad" }, { "name" : "Samarbetsvillig" }, { "name" : "Kommunikativ" } ], "majorSkills" : "Byggledning, Produktionsplanering", "majorSkillsList" : [ "Byggledning", "Produktionsplanering" ], "coreResponsibilities" : "Planera produktion på byggarbetsplatsen, Följa upp produktion på byggarbetsplatsen, Delta inköp, Delta kalkylering, Delta tidsplanering, Ha kontakt med underentreprenörer, Ha kontakt med leverantörer, Säkerställa kvalitet projektet, Säkerställa arbetsmiljö projektet, Säkerställa hållbarhet projektet", "teamCollaboration" : "Nära erfarna kollegor", "projectManagementSkills" : [ "Planering", "Tidsplanering" ], "domainKnowledge" : "Bygg och anläggning", "domainList" : [ "bygg-och-anlaggning" ], "domainSpecificKnowledge" : [ "Bygg och anläggning" ], "communicationSkills" : "God kommunikativ förmåga", "continuousLearning" : "Utvecklingsmöjligheter inom NCC", "innovationCreativity" : "Tänka nytt", "problemSolvingSkills" : "Problemlösning", "outcomesObjectives" : "Skapa goda resultat", "qualificationsBasic" : "Utbildning inom bygg och anläggning, Relevant arbetslivserfarenhet, Något års erfarenhet som arbetsledare", "qualificationsPreferred" : "Affärsmässig lagspelare, Gillar utmaningar, Öppen för att tänka nytt", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Arbetsledare Mark Företagsbeskrivning Bygg med oss och få branschens bästa kollegor På NCC drivs vi av att fortsätta utvecklas, oavsett om det handlar om våra byggprojekt eller vår personliga kompetens. Varje dag driver vi branschens mest spännande och komplexa byggprojekt framåt i ett nära samarbete mellan våra medarbetare, samarbetsparters och kunder. Hos oss är du en betydelsefull medarbetare som bidrar till de landmärken som definierar våra städer och samhällen. Här tar våra medarbetare en aktiv roll i en företagskultur grundad på stabila värderingar och beteenden för en trygg och säker arbetsplats. Vår samlade kompetens och varierande bakgrund gör skillnad. Har du arbetat några år som arbetsledare och vill fortsätta utvecklas i rollen? Vill du vara med och bygga framtidens samhälle tillsammans med ett av Nordens ledande byggföretag? Nu söker vi dig som har något års erfarenhet och vill ta nästa steg som Arbetsledare Mark hos oss. Din roll hos oss Som arbetsledare får du en varierad och utvecklande roll där du är med och driver våra projekt framåt – från planering till färdigställande. Du arbetar nära erfarna kollegor och får stöd i din utveckling samtidigt som du får ta eget ansvar och växa i din roll. Exempel på arbetsuppgifter: * Planera och följa upp produktionen på byggarbetsplatsen * Delta i inköp, kalkylering och tidsplanering * Ha kontakt med underentreprenörer och leverantörer * Bidra till att säkerställa kvalitet, arbetsmiljö och hållbarhet i projektet Vem är du? Vi söker dig som: * Har en utbildning inom bygg och anläggning alt. relevant arbetslivserfarenhet. * Är nyfiken, strukturerad och gillar att samarbeta * Vill utvecklas i en roll där du får kombinera teknik, ledarskap och problemlösning * Har god kommunikativ förmåga och trivs i en dynamisk miljö För att trivas som arbetsledare hos oss på NCC bör du vara en affärsmässig lagspelare som drivs av att skapa goda relationer såväl som goda resultat. Som person gillar du utmaningar, är öppen inför att tänka nytt och med en ambition att utvecklas. Dina personliga egenskaper är betydelsefulla och några av de viktigaste egenskaperna är att genom kommunikation, engagemang och vilja leda projektet framåt. Du värdesätter ett företag som arbetar för en god arbetsmiljö och identifierar dig med våra värderingar: Ärlighet, Tillit och Respekt. Vad erbjuder vi? * En trygg anställning med kollektivavtal och bra förmåner * Möjlighet att arbeta i spännande projekt inom infrastruktur * Goda utvecklingsmöjligheter inom NCC – både på kort och lång sikt Organisatoriskt kommer du att tillhöra en projektchefsgrupp bestående av yrkesmedarbetare, arbetsledare och platschefer. Placering sker efter överenskommelse men verksamheten befinner sig i Sydöstra Skåne. Ansökningsprocessen Sista ansökningsdatum är den 31 juli. Observera att vi kommer att påbörja urvalsprocessen innan ansökan stänger. På grund av semesterperioden kan återkopplingen dröja något längre än vanligt och kan komma först efter ledigheten. Vid frågor - kontakta HR Business Partner Cornelia Fägerlind [cornelia.fagerlind@ncc.se](mailto:cornelia.fagerlind@ncc.se) eller Projektchef Maxine Persson [maxine.persson@ncc.se](mailto:maxine.persson@ncc.se) Varmt välkommen med din ansökan!", "summaryDescription" : "Arbetsledare Mark at NCC. Skills: Byggledning, Produktionsplanering. Planera produktion på byggarbetsplatsen. Följa upp produktion på byggarbetsplatsen", "postedDate" : "2026-06-15T12:25:54.000", "createdAt" : "2026-06-15T23:53:55.398", "lastUpdated" : "2026-06-16T10:33:36.477", "ingestTimestamp" : "2026-06-15T23:53:55.398", "mongoId" : "6a305c2df292fd229cf60ff5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Nyfiken", "Strukturerad", "Samarbetsvillig", "Kommunikativ", "Byggledning", "Produktionsplanering", "Kalkylering", "Tidsplanering", "Planering", "Bygg och anläggning" ], "skillCount" : 10, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305558f292fd229cf1f043", "title" : "Arbetsledare Mark", "company" : "NCC", "industry" : "Construction", "salary" : { "min" : 480000.0, "max" : 650000.0, "currency" : "SEK", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Arbetsledare Mark in Malmö, Sweden, adjusted for the construction industry and NCC's company size." }, "location" : "Malmö, Skåne County, SE", "locations" : [ "Malmö", "Skåne County", "SE" ], "timestamp" : "2026-06-16T07:09:00.554", "fingerprint" : "28fda8e1290e3a33a18e1ab088ac96415be0b15d04521e033e75eb5c31979d60", "source" : "smartrecruiters", "language" : "sv", "applyUrl" : "https://jobs.smartrecruiters.com/NCC/744000132187840-arbetsledare-mark", "externalId" : "744000132187840", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Malmö", "state" : "Skåne County", "country" : "Sweden", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "55.6052931,13.0001566" } ], "locationText" : "Malmö, Skåne County, Sweden", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Kalkylering", "Tidsplanering" ], "softSkillsList" : [ "Nyfiken", "Strukturerad", "Samarbetsvillig" ], "softSkills" : [ { "name" : "Nyfiken" }, { "name" : "Strukturerad" }, { "name" : "Samarbetsvillig" } ], "majorSkills" : "Byggledning, Produktionsplanering", "majorSkillsList" : [ "Byggledning", "Produktionsplanering" ], "coreResponsibilities" : "Planera produktionen på byggarbetsplatsen, Följa upp produktionen på byggarbetsplatsen, Delta inköp, Delta kalkylering, Delta tidsplanering, Ha kontakt med underentreprenörer, Ha kontakt med leverantörer, Säkerställa kvalitet projektet, Säkerställa arbetsmiljö projektet, Säkerställa hållbarhet projektet", "teamCollaboration" : "Nära erfarna kollegor", "projectManagementSkills" : [ "Planering", "Tidsplanering" ], "domainKnowledge" : "Bygg och anläggning", "domainList" : [ "bygg-och-anlaggning" ], "domainSpecificKnowledge" : [ "Bygg och anläggning" ], "communicationSkills" : "God kommunikativ förmåga", "continuousLearning" : "Utvecklingsmöjligheter inom NCC", "innovationCreativity" : "Tänka nytt", "problemSolvingSkills" : "Problemlösning", "outcomesObjectives" : "Skapa goda resultat", "qualificationsBasic" : "Utbildning inom bygg och anläggning, Relevant arbetslivserfarenhet, Något års erfarenhet som arbetsledare", "qualificationsPreferred" : "Affärsmässig lagspelare, Gillar utmaningar, Öppen för att tänka nytt", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Arbetsledare Mark Företagsbeskrivning Bygg med oss och få branschens bästa kollegor På NCC drivs vi av att fortsätta utvecklas, oavsett om det handlar om våra byggprojekt eller vår personliga kompetens. Varje dag driver vi branschens mest spännande och komplexa byggprojekt framåt i ett nära samarbete mellan våra medarbetare, samarbetsparters och kunder. Hos oss är du en betydelsefull medarbetare som bidrar till de landmärken som definierar våra städer och samhällen. Här tar våra medarbetare en aktiv roll i en företagskultur grundad på stabila värderingar och beteenden för en trygg och säker arbetsplats. Vår samlade kompetens och varierande bakgrund gör skillnad. Har du arbetat några år som arbetsledare och vill fortsätta utvecklas i rollen? Vill du vara med och bygga framtidens samhälle tillsammans med ett av Nordens ledande byggföretag? Nu söker vi dig som har något års erfarenhet och vill ta nästa steg som Arbetsledare Mark hos oss. Din roll hos oss Som arbetsledare får du en varierad och utvecklande roll där du är med och driver våra projekt framåt – från planering till färdigställande. Du arbetar nära erfarna kollegor och får stöd i din utveckling samtidigt som du får ta eget ansvar och växa i din roll. Exempel på arbetsuppgifter: * Planera och följa upp produktionen på byggarbetsplatsen * Delta i inköp, kalkylering och tidsplanering * Ha kontakt med underentreprenörer och leverantörer * Bidra till att säkerställa kvalitet, arbetsmiljö och hållbarhet i projektet Vem är du? Vi söker dig som: * Har en utbildning inom bygg och anläggning alt. relevant arbetslivserfarenhet. * Är nyfiken, strukturerad och gillar att samarbeta * Vill utvecklas i en roll där du får kombinera teknik, ledarskap och problemlösning * Har god kommunikativ förmåga och trivs i en dynamisk miljö För att trivas som arbetsledare hos oss på NCC bör du vara en affärsmässig lagspelare som drivs av att skapa goda relationer såväl som goda resultat. Som person gillar du utmaningar, är öppen inför att tänka nytt och med en ambition att utvecklas. Dina personliga egenskaper är betydelsefulla och några av de viktigaste egenskaperna är att genom kommunikation, engagemang och vilja leda projektet framåt. Du värdesätter ett företag som arbetar för en god arbetsmiljö och identifierar dig med våra värderingar: Ärlighet, Tillit och Respekt. Vad erbjuder vi? * En trygg anställning med kollektivavtal och bra förmåner * Möjlighet att arbeta i spännande projekt inom infrastruktur * Goda utvecklingsmöjligheter inom NCC – både på kort och lång sikt Organisatoriskt kommer du att tillhöra en projektchefsgrupp bestående av yrkesmedarbetare, arbetsledare och platschefer. Placering sker efter överenskommelse men verksamheten befinner sig i Sydöstra Skåne. Ansökningsprocessen Sista ansökningsdatum är den 31 juli. Observera att vi kommer att påbörja urvalsprocessen innan ansökan stänger. På grund av semesterperioden kan återkopplingen dröja något längre än vanligt och kan komma först efter ledigheten. Vid frågor - kontakta HR Business Partner Cornelia Fägerlind [cornelia.fagerlind@ncc.se](mailto:cornelia.fagerlind@ncc.se) eller Projektchef Maxine Persson [maxine.persson@ncc.se](mailto:maxine.persson@ncc.se) Varmt välkommen med din ansökan!", "summaryDescription" : "Arbetsledare Mark at NCC. Skills: Byggledning, Produktionsplanering. Planera produktionen på byggarbetsplatsen. Följa upp produktionen på byggarbetsplatsen", "postedDate" : "2026-06-15T12:25:54.000", "createdAt" : "2026-06-15T23:32:49.504", "lastUpdated" : "2026-06-16T07:09:00.554", "ingestTimestamp" : "2026-06-15T23:32:49.504", "mongoId" : "6a305558f292fd229cf1f043", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Nyfiken", "Strukturerad", "Samarbetsvillig", "Byggledning", "Produktionsplanering", "Kalkylering", "Tidsplanering", "Planering", "Bygg och anläggning" ], "skillCount" : 9, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3050c5f292fd229cef50de", "title" : "MEL Specialist – Qualitative Expertise", "company" : "Busara", "industry" : "Advisory", "salary" : { "min" : 6.0E7, "max" : 9.0E7, "currency" : "UGX", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-seniority MEL Specialist in Kampala, Uganda, adjusted for the non-profit sector." }, "location" : "Kampala", "locations" : [ "Kampala" ], "timestamp" : "2026-06-16T14:13:06.494", "fingerprint" : "3c2e61dd424db119ec35e8a5141beb95d12b1f884f0b47c61c103eef3410f22e", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/BusaraCenter/fdc47c1f-63df-4500-ba8b-6f6edd3ad935/apply", "externalId" : "fdc47c1f-63df-4500-ba8b-6f6edd3ad935", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kampala", "country" : "Uganda", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "0.3177137,32.5813539" } ], "locationText" : "Kampala, Uganda", "employmentType" : "CONTRACT", "technicalSkills" : "Qualitative data analysis, Quantitative data analysis, Data collection, Data analysis software, Data visualization tools, Statistical software, Database management, SQL, Python, R, SPSS, NVivo, Tableau, Power BI, Excel", "professionalSkills" : [ "Research design", "Project management", "Stakeholder engagement", "Report writing", "Data interpretation", "Problem-solving", "Analytical thinking" ], "hardSkillsList" : [ "Qualitative data analysis", "Quantitative data analysis", "Research design", "Data collection methods", "Data analysis software", "Data visualization tools", "Report writing" ], "hardSkills" : [ { "name" : "Qualitative data analysis", "level" : "intermediate" }, { "name" : "Quantitative data analysis", "level" : "intermediate" }, { "name" : "Research design", "level" : "intermediate" }, { "name" : "Data collection methods", "level" : "intermediate" }, { "name" : "Data analysis software", "level" : "intermediate" }, { "name" : "Data visualization tools", "level" : "intermediate" }, { "name" : "Report writing", "level" : "intermediate" } ], "majorSkills" : "Qualitative expertise, Quantitative analysis, Research design, Data visualization", "majorSkillsList" : [ "Qualitative expertise", "Quantitative analysis", "Research design", "Data visualization" ], "coreResponsibilities" : "Design and implement MEL frameworks, Develop data collection tools, Conduct qualitative data analysis, Conduct quantitative data analysis, Interpret data and generate insights, Develop data visualizations, Write comprehensive reports, Present findings to stakeholders, Manage MEL activities, Ensure data quality and integrity, Contribute to project planning, Support adaptive management", "teamCollaboration" : "Work with project teams; Engage with stakeholders; Collaborate with partners", "projectManagementSkills" : [ "Project management", "MEL frameworks" ], "domainKnowledge" : "Monitoring and Evaluation; Learning frameworks; Research methodologies", "domainList" : [ "monitoring-and-evaluation", "learning-frameworks", "research-methodologies" ], "domainSpecificKnowledge" : [ "Monitoring and Evaluation", "Learning frameworks", "Research methodologies" ], "toolProficiency" : [ "SPSS", "NVivo", "Tableau", "Power BI", "Excel", "SQL", "Python", "R" ], "communicationSkills" : "Report writing; Presentation skills", "documentationSkills" : "Report writing", "problemSolvingSkills" : "Problem-solving; Analytical thinking", "outcomesObjectives" : "Provide timely and accurate MEL reports; Inform project decision-making; Support adaptive management practices; Ensure accountability to stakeholders", "qualificationsBasic" : "5+ years of experience in MEL, Experience in qualitative data analysis, Experience in quantitative data analysis, Experience in research design, Experience in data collection methods, Experience in data analysis software, Experience in data visualization tools, Experience in report writing, Experience in project management, Experience in stakeholder engagement, Bachelor's degree in a relevant field", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience in a specific sector, Experience with specific software or tools", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description About Busara Since 2014, Busara has evolved from a small behavioral science lab in Nairobi into a boutique research and advisory organization. Our diverse team of over 130 staff from 15+ countries has engaged in diverse projects across more than 50 countries in sectors like agriculture, health, governance, and inclusive finance. While headquartered in Nairobi, Kenya, we have expanded our footprint with offices now in India, Uganda, Tanzania, Nigeria, and Latin America. Role Purpose Statement This role requires strong evaluation design, research, and analytical skills to generate high-quality evidence and improve decision-making across Busara’s behavioral science projects. It is well-suited for someone who is highly comfortable working with data, leading the design, planning, execution, analysis, presentation, and publication of qualitative and quantitative research and evaluation projects at Busara, and can translate complex findings into clear, visual, and actionable insights. The Specialist will support and lead evaluation design, conduct rigorous analysis, and develop practical Monitoring, Evaluation, and Learning (MEL) tools and processes to strengthen internal systems. The role also involves working closely with project teams to ensure evidence is effectively connected to strategy, implementation, and adaptive management across our portfolio. The ideal candidate is a strong analytical thinker and clear communicator, with technical confidence in MEL practice. They will be able to design and lead learning reviews, conduct MEL assessments and trainings, synthesize evidence across multiple countries, and support teams in using data and insights to drive continuous learning and improvement. Key Accountabilities/Responsibilities The MEL Specialist will work closely with Busara Project Leads and the research team to perform a variety of tasks, including, but not limited to; ## Evaluation Design, Research & Evidence Architecture Design evaluations and reviews, including sampling plans, analytical frameworks, and fit-for-purpose methodologies. Lead the design and strengthening of Theories of Change, learning frameworks, and measurement strategies. Design and apply appropriate evaluation designs, such as theory-based, qualitative comparative analysis, or contribution analysis. Incorporate qualitative methods, behavioral science, psychology, and economics into projects. Lead or support data collection, including designing qualitative tools and protocols. Conduct rigorous analysis of primary and secondary datasets to generate actionable insights. Ensure all evaluations meet quality, ethical, and learning standards and are tailored to decision-making needs. ## Data Analytics & Data Visualization Conduct qualitative analyses using multiple data sources (e.g. indepth interviews, focus group descriptions, key informant interviews, etc) Rapidly analyse data from qualitative interviews conducted by others using thematic analysis and qualitative comparative analysis (using NVivo or any other qualitative software),. Develop clear, engaging visualizations (charts, dashboards, summary visuals) that help teams understand patterns quickly. Present findings visually in ways that support rapid learning and decision-making. ## MEL Systems, Tools & Data Quality Develop MEL plans, indicator definitions, and practical measurement frameworks. Create user-friendly tools such as interview guides, templates, and checklists. Strengthen internal data management systems, including data flows, documentation practices, and verification steps. Lead the design of data quality assessments (DQAs) and recommend improvements. ## Learning, Synthesis & Reporting Produce clear, well-structured evaluation reports, evidence summaries, and learning briefs. Support learning sessions, reflection workshops, and sense-making meetings. Write case studies, short briefs, and presentations tailored to internal and external audiences. ## Internal MEL Capacity Building Strengthen MEL capability across Busara by guiding associates and analysts. Build and maintain tools, templates, and internal guidance notes. Support MEL-related business development by contributing to the scopes of work and proposals. Provide ad-hoc technical support to all projects that have qualitative research within them, including research being conducted by other organizations. This can include training other members of staff to conduct high-quality research and providing support with analysis. Keep abreast of developments in qualitative research and design, and promote qualitative research capability within Busara through knowledge sharing and training activities and the development of new approaches. ## Knowledge, Skills, and Experience Minimum Requirements; Master’s degree in a relevant field such as inclusive finance, public policy, social sciences, or other related fields 3–5 years of hands-on MEL, evaluation, or research experience. Proven experience designing evaluations and selecting methodologies. Proven experience with MEL capacity strengthening efforts across vast teams. Experience designing and conducting qualitative research studies in development Ability to design data collection instruments, sampling approaches, and analysis plans. Strong qualitative analysis skills (NVivo required). Demonstrated experience with qualitative coding and synthesis. Demonstrated experience managing field teams. Skilled in creating clear, compelling data visualizations. Core Competencies Strong analytical thinking and structured problem-solving skills. Excellent writing skills and ability to simplify complex information. Confidence working with data and presenting findings visually. Organized, proactive, and comfortable managing multiple tasks. Collaborative, patient, and able to support teams with varying MEL experience. Curious, adaptive, and able to work across different types of projects. ## Additional Information Busara is an equal opportunity employer committed to building diverse, inclusive teams. We particularly encourage applications from candidates with lived experience in the communities and contexts we work in. We will be reviewing applications on a rolling basis until the position is filled. We encourage you to apply as soon as possible. Data Privacy Statement As part of Busara’s recruitment process, personal information provided by an applicant through various means will be collected and stored. This includes but is not limited to the information which the candidate provides to Busara in their application and profile, any data from role assessments, interviews information including video interviews and data provided to us by your referees. This data will be used to evaluate the application, communicate with the candidate, and where a candidate has selected this option, for future recruitment opportunities. All this information will be treated as part of each job application record and only retained for the required record retention period. By choosing to apply for this position at Busara, you are giving Busara your consent to process your personal data as described above. We are committed to protecting your privacy and ensuring that your personal information is secure.", "summaryDescription" : "MEL Specialist – Qualitative Expertise at Busara. Skills: Qualitative expertise, Quantitative analysis, Research design, Data visualization. Design and implement MEL frameworks. Develop data collection tools", "postedDate" : "2026-06-15T10:10:16.981", "createdAt" : "2026-06-15T10:10:16.981", "lastUpdated" : "2026-06-16T14:13:06.494", "ingestTimestamp" : "2026-06-16T03:20:05.120", "mongoId" : "6a3050c5f292fd229cef50de", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Qualitative data analysis", "Quantitative data analysis", "Research design", "Data collection methods", "Data analysis software", "Data visualization tools", "Report writing", "Qualitative expertise", "Quantitative analysis", "Data visualization", "Project management", "Stakeholder engagement", "Data interpretation", "Problem-solving", "Analytical thinking", "MEL frameworks", "Monitoring and Evaluation", "Learning frameworks", "Research methodologies", "SPSS", "NVivo", "Tableau", "Power BI", "Excel", "SQL", "Python", "R" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb10274d8ee00a09dbd90", "title" : "Line Striper-Pavement Marking Technician", "salary" : { "min" : 36000.0, "max" : 52000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for an Entry-level Line Striper-Pavement Marking Technician in Bethel Park, United States, adjusted for the construction industry." }, "location" : "BETHEL PARK, PA", "locations" : [ "BETHEL PARK, PA" ], "timestamp" : "2026-06-16T03:40:40.715", "fingerprint" : "6aa7461e3fb89bd72ba0e6594a8734e6cbccf724db155b70877f9df501126663", "source" : "jazzhr", "language" : "en", "externalId" : "pgzdOc9ljJ", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bethel Park", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.3275697,-80.0394977" } ], "locationText" : "Bethel Park, Pennsylvania, United States", "coreResponsibilities" : "Perform pavement marking, Operate line striping equipment, Apply traffic paint and reflective beads, Follow safety procedures, Maintain equipment", "domainKnowledge" : "Pavement marking; Traffic control", "domainList" : [ "pavement-marking", "traffic-control" ], "domainSpecificKnowledge" : [ "Pavement marking", "Traffic control" ], "specialRequirements" : "Physical labor", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Line Striper-Pavement Marking Technician. Perform pavement marking. Operate line striping equipment", "createdAt" : "2026-06-14T18:43:44.110", "lastUpdated" : "2026-06-16T03:40:40.715", "ingestTimestamp" : "2026-06-14T18:43:44.110", "mongoId" : "6a2cb10274d8ee00a09dbd90", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 36000, "salaryAnnualMax" : 52000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Pavement marking", "Traffic control" ], "skillCount" : 2, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.85 }, { "id" : "6a30753bf292fd229c00d532", "title" : "Senior Applied Scientist, AGI Customization", "company" : "Amazon.com Services LLC", "industry" : "Applied Science, Artificial Intelligence", "salary" : { "min" : 192000.0, "max" : 260000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-16T12:43:54.799", "fingerprint" : "862f62fae4e6ab12386f648d88f7ff8c3012f21d7ad60cf3c991872b17d6b0d4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449426/apply", "externalId" : "08491809-1037-4ba5-a723-c1c2a329e5e5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "The Artificial General Intelligence (AGI) Customization Team is seeking a highly skilled and experienced Applied Scientist to support adoption and enable customization of Amazon Nova. The role focuses on developing state-of-the-art services and tools for model customization, including supervised fine-tuning, reinforcement learning, and knowledge distillation across large language models. As an Applied Scientist, you will play a important role in developing advanced customization capabilities that enable enterprises to build highly performant application-specific models without the need for training models from scratch. Your work will directly impact how companies leverage Amazon Nova models for their specific use cases. Key job responsibilities - Contribute to the development of novel customization techniques including extended post-training, continued pre-training, and advanced knowledge distillation - Collaborate with cross-functional teams to design and implement enterprise-ready tooling for various training techniques on Amazon SageMaker - Design and execute experiments to optimize model accuracy, latency, and cost across different customization approaches (SFT, DPO, PPO) - Develop and enhance preference learning algorithms and training curricula for customer-specific applications - Create robust evaluation frameworks for assessing model performance across different domains and use cases - Contribute to the development of the Responsible AI toolkit, including creating training and evaluation datasets for model alignment - Design and implement secure access mechanisms for early model checkpoints and weights - Communicate technical insights and results to both technical and non-technical stakeholders through presentations and documentation Basic Qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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, Sunnyvale - 192,200.00 - 260,000.00 USD annually USA, MA, Cambridge - 167,100.00 - 226,100.00 USD annually USA, WA, BELLEVUE - 167,100.00 - 226,100.00 USD annually", "summaryDescription" : "Senior Applied Scientist, AGI Customization at Amazon.com Services LLC", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-16T01:54:07.864", "lastUpdated" : "2026-06-16T12:43:54.799", "ingestTimestamp" : "2026-06-16T01:54:07.864", "mongoId" : "6a30753bf292fd229c00d532", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449426/apply", "salaryAnnualMin" : 192000, "salaryAnnualMax" : 260000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305198f292fd229cf02f3c", "title" : "Sr Specialist, Special Tools and Workshop Equipment", "company" : "Scout Motors", "salary" : { "min" : 130000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Columbia, South Carolina, United States", "locations" : [ "Columbia", "South Carolina", "United States" ], "timestamp" : "2026-06-16T11:04:16.391", "fingerprint" : "292c6ee141ac5522c06598e30bd3d7a2344ba8b1561377e72ef501bb4d259bc5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/scoutmotors/jobs/5159039007", "externalId" : "5159039007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Columbia", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0007540,-81.0352313" } ], "locationText" : "Columbia, South Carolina, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "Here at Scout Motors, we're carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again. But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work. The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range. At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion. Join us at Scout Motors and be part of shaping the future of transportation. If you're ready to drive change and make history, apply now! What you’ll do Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following: Analyze repair concepts for Scout vehicles (new programs, technologies, and engineering changes) to define requirements for special tools and workshop equipment, ensuring repair quality and operational efficiency across workshops and mobile services. Drive early serviceability integration by collaborating with Engineering to ensure tool requirements are identified and validated during vehicle development phases. Evaluate and define make-or-buy strategies for special tools and equipment supporting Scout Motors workshops, mobile services, and third-party partners. Lead the design, development, validation, and release of new special tools and workshop equipment. Establish and maintain global standards and specifications for workshop tools and equipment to ensure consistency across markets. Conduct technical assessments to support Purchasing in the selection and qualification of suppliers, including cost, quality, and scalability considerations. Own the lifecycle management of special tools (introduction, updates, obsolescence, and replacement strategies). .Coordinate the inclusion and governance of tools and equipment within official catalogues and digital systems (e.g., integration with parts and workshop information media). Ensure compliance with legal, homologation, safety, and product regulatory requirements across all markets. Define and implement tool validation processes, including field testing, durability, and usability in real workshop conditions. Support digitalization initiatives, enabling integration of tools with diagnostics, connected services, and future AI-enabled workshop solutions. Develop and maintain technical documentation and training concepts for special tools and equipment (usage, maintenance, calibration, safety). Provide technical support to workshops and mobile services on tool usage, diagnostics, maintenance, and warranty topics. Monitor field feedback and repair data to continuously improve tool design, usability, and effectiveness. Collaborate cross-functionally with Engineering, Aftersales, Quality, and Operations to ensure closed-loop feedback into product and process improvements. Contribute to budget planning and cost optimization for special tools and workshop equipment programs. Location & Travel Expectations: This role will be based out of the Scout Motors location in Columbia, South Carolina. This role requires 4-5 days per week in the office, with regular in-person meetings and events. Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time. Travel: The role requires regular attendance at meetings and events in other Scout locations, such as Novi, MI, and Fremont, CA. Domestic and international travel is expected for approximately 10% of working days, with potentially more frequent international travel for training and coordination during the first two years. Valid driver's license required. Passport required. What you’ll bring We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: Bachelor's degree in a relevant field such as Mechanical Engineering, Automotive Engineering, Information Technology, Technical Communication or related field. Several years of experience in Special tools and workshop equipment. Strong understanding of vehicle technologies, repair concepts, and technical documentation. Familiarity with automotive engineering principles. Proficiency in managing multiple projects, prioritizing tasks, and meeting deadlines. Proven ability to identify complex problems, develop innovative solutions, and implement effective strategies to address challenges. Strong critical thinking and decision-making skills to navigate ambiguous situations and drive results. Ability to work independently and collaboratively as part of a team. What you'll gain The benefits of joining Scout include the chance to build products and a company from the ground up. This is a chance to create something new and lasting – with an iconic brand at its foundation. In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights: Competitive insurance including: Medical, dental, vision and income protection plans 401(k) program with: An employer match and immediate vesting Generous Paid Time Off including: 20 days planned PTO, as accrued 40 hours of unplanned PTO and 14 company or floating holidays, annually Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave Pay Transparency This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent. Initial base salary range = 130,000.00 - $160,000.00 Internal leveling code: IC8 Notice to applicants: To be considered for career opportunities at Scout Motors, applicants must be 18 years of age or older. Residing in San Francisco: Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records. Residing in Los Angeles: Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance. Residing in New York City: This role is not eligible for remote work in New York City. Equal Opportunity Scout Motors is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other characteristics protected by law. Scout Motors is committed to compliance with all applicable fair employment practice laws. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact ScoutAccommodations@scoutmotors.com.", "summaryDescription" : "Sr Specialist, Special Tools and Workshop Equipment at Scout Motors", "postedDate" : "2026-06-15T23:19:43.363", "createdAt" : "2026-06-15T23:19:43.363", "lastUpdated" : "2026-06-16T11:04:16.391", "ingestTimestamp" : "2026-06-15T23:19:43.363", "mongoId" : "6a305198f292fd229cf02f3c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e426f8b1b0376634c661", "title" : "Senior Applied Scientist, Model Customization", "company" : "AWS EMEA SARL (UK Branch)", "industry" : "Data Science, Applied Science, Cloud Computing", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Applied Scientist in London, UK, adjusted for seniority and technology industry." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T06:51:34.992", "fingerprint" : "dc781da91f33fe28500dc0a98e5cbf241a1c52b244c323087354fe17092ae0b3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3076882/apply", "externalId" : "0ca4dcfa-eed4-4d57-ab01-96eccd5aa599", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Machine Learning, Generative AI, Large Language Model, Foundational Model, Reinforcement learning, AWS", "professionalSkills" : [ "Model selection", "Model tuning", "Hardware optimization", "Risk optimization", "Profitability optimization", "Customer experience optimization" ], "hardSkillsList" : [ "Data mining", "Numerical optimization", "Parallel computing", "Distributed computing", "High-performance computing", "Model evaluation", "Model development" ], "hardSkills" : [ { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Numerical optimization", "level" : "intermediate" }, { "name" : "Parallel computing", "level" : "intermediate" }, { "name" : "Distributed computing", "level" : "intermediate" }, { "name" : "High-performance computing", "level" : "intermediate" }, { "name" : "Model evaluation", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Model Customization, Applied Science", "majorSkillsList" : [ "Generative AI", "Model Customization", "Applied Science" ], "coreResponsibilities" : "Research generative AI solutions, Design generative AI solutions, Develop generative AI solutions, Evaluate generative AI solutions, Interact with customers, Understand business problems, Aid in implementation, Brief customers, Guide adoption patterns, Optimize solutions, Select models, Tune models, Right-size models, Distill models, Optimize hardware, Provide feedback, Define product direction, Design experiments, Run experiments, Research algorithms, Find optimization ways", "teamCollaboration" : "AI/ML scientists; Architects; Product teams; Engineering teams", "domainKnowledge" : "Generative AI; Large Language Models; Foundational Models; Model optimization; Continual pre-training; Fine-tuning; Reinforcement learning; Agentic workflow; Orchestration", "domainList" : [ "generative-ai", "large-language-models", "foundational-models", "model-optimization", "continual-pre-training", "fine-tuning", "reinforcement-learning", "agentic-workflow", "orchestration" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "Foundational Models", "Model optimization", "Continual pre-training", "Fine-tuning", "Reinforcement learning", "Agentic workflow", "Orchestration" ], "toolProficiency" : [ "Trl", "Verl", "LangChain", "LlamaIndex" ], "communicationSkills" : "Customer presentations", "innovationCreativity" : "Innovate; R&D", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "PhD degree or Master's degree, 5+ years relevant experience, 5+ years Python experience, 5+ years algorithms experience, 2+ years LLM experience", "qualificationsPreferred" : "LLM-powered agentic workflow experience, Model optimization techniques experience, Open-source frameworks experience, Identify and frame technical problems, Lead design and implementation, Drive scientific agenda, Mentoring scientists", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an Applied Scientist, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production • Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization • Provide customer and market feedback to product and engineering teams to help define product direction About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, or Master’s degree plus 10 years of relevant work experience - 5+ years of hands on experience with Python to build, train, and evaluate models - 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques. - Scientific publication track record at top-tier AI/ML/NLP conferences or journals Preferred Qualifications: - Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization, experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.) - Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/ or similar tools - Demonstrated ability to identify and frame technical problems from broad product-level and business-level problem areas. - Track record of leading the design, implementation and delivery of scientifically-complex solutions that span multiple teams. - Experience driving scientific agenda and technical strategy in a team, including building consensus on technical approaches and mentoring other scientists to improve their technical capabilities. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Senior Applied Scientist, Model Customization at AWS EMEA SARL (UK Branch). Skills: Generative AI, Model Customization, Applied Science. Research generative AI solutions. Design generative AI solutions", "postedDate" : "2026-06-14T06:37:42.686", "createdAt" : "2026-06-14T06:37:42.686", "lastUpdated" : "2026-06-15T06:51:34.992", "ingestTimestamp" : "2026-06-14T06:37:42.686", "mongoId" : "68c2e426f8b1b0376634c661", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3076882/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data mining", "Numerical optimization", "Parallel computing", "Distributed computing", "High-performance computing", "Model evaluation", "Model development", "Generative AI", "Model Customization", "Applied Science", "Model selection", "Model tuning", "Hardware optimization", "Risk optimization", "Profitability optimization", "Customer experience optimization", "Large Language Models", "Foundational Models", "Model optimization", "Continual pre-training", "Fine-tuning", "Reinforcement learning", "Agentic workflow", "Orchestration", "Trl", "Verl", "LangChain", "LlamaIndex" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306035f292fd229cf8826e", "title" : "Equipment Technician", "company" : "VIXXO", "industry" : "Food & Beverage", "salary" : { "min" : 23.0, "max" : 29.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Work @ Home US", "locations" : [ "Work @ Home US" ], "timestamp" : "2026-06-16T07:22:53.707", "fingerprint" : "34cc6857f22742aef8f4dfbec8407969ad5787d49868791de01ef33c40371433", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/vixxo/jobs/8593048002", "externalId" : "8593048002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Elgin", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.0372600,-88.2810994" } ], "locationText" : "Elgin, Illinois, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "technicalSkills" : "General electric, Water systems", "professionalSkills" : [ "Customer service", "Technical concepts" ], "hardSkillsList" : [ "Equipment repair", "Preventative maintenance", "Inspections", "Inventory management", "Scheduling" ], "softSkillsList" : [ "Problem solver", "Clear communicator", "Constant learner" ], "hardSkills" : [ { "name" : "Equipment repair", "level" : "intermediate" }, { "name" : "Preventative maintenance", "level" : "intermediate" }, { "name" : "Inspections", "level" : "intermediate" }, { "name" : "Inventory management", "level" : "intermediate" }, { "name" : "Scheduling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem solver" }, { "name" : "Clear communicator" }, { "name" : "Constant learner" } ], "majorSkills" : "Equipment maintenance, Customer relations, SLA compliance", "majorSkillsList" : [ "Equipment maintenance", "Customer relations", "SLA compliance" ], "coreResponsibilities" : "Repair espresso systems, Repair coffee brewing systems, Repair coffee grinding systems, Repair water systems, Own customer relationships, Inspire customer loyalty, Provide professional services, Provide reliable services, Adhere to safety rules, Meet Service Level Agreements, Conduct thorough inspections, Perform timely maintenance, Complete accurate paperwork", "teamCollaboration" : "Work independently", "domainKnowledge" : "Coffee systems; Water systems", "domainList" : [ "coffee-systems", "water-systems" ], "domainSpecificKnowledge" : [ "Coffee systems", "Water systems" ], "toolProficiency" : [ "Smartphone" ], "communicationSkills" : "Explain technical concepts", "documentationSkills" : "Accurate paperwork", "continuousLearning" : "Refine technical expertise", "problemSolvingSkills" : "Troubleshooting issues", "specialRequirements" : "Company vehicle, Lift 50 lbs", "outcomesObjectives" : "Inspire customer loyalty; Meet Service Level Agreements", "qualificationsBasic" : "1 year servicing equipment, 1 year customer-facing experience, Valid driver's license, Clean driving record, Able to lift 50 lbs", "qualificationsPreferred" : "Experience with testing equipment, Experience with general electric, Experience with water systems, Must like coffee", "workSiteFlexibility" : "Flexible", "rawDescription" : "\" $1500 SIGNING BONUS \" \" Quarterly Bonus\" \"Company Vehicle\" Vixxo is seeking a full-time Equipment Technician to manage a territory encompassing Elgin, IL, and surrounding areas. Compensation ranges from $23 to $29 p/h, depending on experience, THE ROLE: As an Equipment Technician, you will work independently to provide reactive and preventative maintenance services throughout an assigned territory – see for yourself how one of our technicians describes a day in the life by clicking here! WHO WILL LOVE THIS JOB: A creative problem solver: You are energized by roadblocks and have a knack for troubleshooting issues in stride and solving them in a calm, cool, and collected manner. A clear communicator: You are customer-focused and able to explain technical concepts clearly and effectively to non-technical individuals A constant learner: You are not afraid to ask questions and are constantly striving to refine your technical expertise TOP 3 RESPONSIBILITIES: Repair commercial espresso, coffee brewing, coffee grinding, and water systems throughout an assigned territory. Own relationships with your customers and inspire customer loyalty by providing professional and reliable services that adhere to all safety rules Meet Service Level Agreement (SLA) requirements required by customers, which include conducting thorough inspections, performing timely maintenance on equipment correctly the first time, and completing descriptive and accurate paperwork. QUALIFICATIONS: At least one year of experience servicing equipment, preferably with experience using proper testing equipment and practices for general electric and water At least one year of experience in a customer-facing or customer-service role Must like coffee: Tasting is the final step in all repairs Smartphone proficient in inventory, manage scheduling, and other tasks Must possess a valid driver’s license with a clean driving record Must be able to lift 50 lbs. without assistance What Vixxo Has to Offer You: Competitive base pay based on experience and certifications; quarterly bonuses based on performance PTO, Floating Holidays, and six paid company holidays Benefits-eligible in first 60 days: Medical, Dental, and Vision Insurance Employer-paid short-term and long-term disability insurance and life insurance 401K Match Professional and career development opportunities Military Friendly Successful applicants come from a variety of backgrounds, including HVAC Technicians, Maintenance Technicians, Field Service Technicians, Electricians, Plumbers, Service Technicians, ATM Technicians, Beverage Technicians, Pest Control Technicians, Photo Kiosk Repair, Coffee Retail, Barista, and Mechanical Repair.", "summaryDescription" : "Equipment Technician at VIXXO. Skills: Equipment maintenance, Customer relations, SLA compliance. Repair espresso systems. Repair coffee brewing systems", "postedDate" : "2026-06-15T23:28:50.109", "createdAt" : "2026-06-15T23:28:50.109", "lastUpdated" : "2026-06-16T07:22:53.707", "ingestTimestamp" : "2026-06-15T23:28:50.109", "mongoId" : "6a306035f292fd229cf8826e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 47840, "salaryAnnualMax" : 60320, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Equipment repair", "Preventative maintenance", "Inspections", "Inventory management", "Scheduling", "Problem solver", "Clear communicator", "Constant learner", "Equipment maintenance", "Customer relations", "SLA compliance", "Customer service", "Technical concepts", "Coffee systems", "Water systems", "Smartphone" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307061f292fd229cff4075", "title" : "Sales In-Training and Truck Team", "company" : "1-800-GOT-JUNK?", "industry" : "Logistics", "salary" : { "min" : 26.0, "max" : 31.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sacramento, California, United States", "locations" : [ "Sacramento", "California", "United States" ], "timestamp" : "2026-06-16T15:13:20.466", "fingerprint" : "7270cd8ba4407191bef7a74f2f3021b2a7d2dd7d9e64032e939671f28ec881f4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/1800gotjunk/jobs/4286034009", "externalId" : "4286034009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sacramento", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.5810606,-121.4938950" } ], "locationText" : "Sacramento, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Sales skills", "Customer service", "Negotiation pricing", "Relationship building" ], "hardSkillsList" : [ "Closing sales", "On-site estimates" ], "softSkillsList" : [ "Confidence" ], "hardSkills" : [ { "name" : "Closing sales", "level" : "intermediate" }, { "name" : "On-site estimates", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Confidence" } ], "majorSkills" : "Sales, Customer service, Closing", "majorSkillsList" : [ "Sales", "Customer service", "Closing" ], "coreResponsibilities" : "Provide on-site estimates, Confidently close sales, Build trust with customers, Remove unwanted items, Work efficiently with a team, Complete daily routes, Deliver WOW-level customer service, Lift, carry, load, and maneuver items, Keep trucks clean, organized, and professional, Represent the brand with energy, integrity, and professionalism", "teamCollaboration" : "Work with a high-energy team; Team-oriented attitude", "domainKnowledge" : "Junk removal", "domainList" : [ "junk-removal" ], "domainSpecificKnowledge" : [ "Junk removal" ], "communicationSkills" : "Communicate with customers", "continuousLearning" : "Paid training; Advancement opportunities", "problemSolvingSkills" : "Overcome objections", "specialRequirements" : "Weekend availability required, Ability to lift 70–85+ lbs repeatedly", "qualificationsBasic" : "Must be 21+ years old, Valid driver's license required, Ability to lift 70–85+ lbs repeatedly, Weekend availability required, Reliable transportation, Team-oriented attitude", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ready to build a high-energy career where every day is different? Join our Field Sales & Service Team and help us deliver exceptional customer moments and powerful service experiences. We're Southwind— the highest-performing 1-800-GOT-JUNK? franchise group — built on integrity, accountability, and investing in people. Sales In-Training/ Truck Team 1-800-GOT-JUNK? Location: Sacramento, CA Pay: $26–$31+/hour (Profit Share + Tips + $17/hr base) Job Type: Full-Time Are you interested in getting into sales, but don’t know where to start? At 1-800-GOT-JUNK?, we train people from the ground up. This is a unique opportunity to develop real-world sales skills in a fast-paced, active environment. Our customers called us because they need help solving a problem, and they have already decided to spend money to fix that problem. Your job is to build trust, create a great experience, confidently price the job, and close the sale on-site. You will learn how to communicate with customers, overcome objections, negotiate pricing, and deliver excellent service, all while staying active and working with a high-energy team. What You’ll Do: Provide on-site estimates and confidently close sales Build trust with customers through strong communication and professionalism Remove unwanted items from homes and businesses Work efficiently with a team to complete daily routes Deliver WOW-level customer service on every job Lift, carry, load, and maneuver items throughout the day Keep trucks clean, organized, and professional Represent the brand with energy, integrity, and professionalism It is one of the best ways to build foundational sales skills: Communication Negotiation Confidence Customer psychology Relationship-building Closing Many of our top performers go on to leadership, operations, recruiting, or higher-level sales roles. Requirements: Must be 21+ years old Valid driver’s license required Ability to lift 70–85+ lbs repeatedly Weekend availability required Reliable transportation Team-oriented attitude No junk removal experience needed. We train you. Schedule: 4–5 shifts per week 8–10 hour shifts Weekend availability required Typical start times are 7am or 12pm depending on business needs Pay & Benefits: Hourly base pay Tips Uncapped profit share & performance incentives Overtime opportunities Paid training Flexible scheduling options Advancement opportunities Full benefits package including Medical, Dental, and Vision Retirement options Fun, energetic team environment Growth Opportunities: We promote from within whenever possible. Advancement pathways may include: Certified Sales Lead Operations Lead People Development Lead Senior Sales Director of Operations Director of People Development General Manager Why Join Us? At Southwind and 1-800-GOT-JUNK?, we believe: “Anything is possible. Invest in people. Change the world.” This is more than a labor job. It is an opportunity to build confidence, communication skills, sales experience, and leadership abilities while earning strong money in a fast-paced environment where no two days are the same. If you are competitive, outgoing, hardworking, and ready to grow, we want to meet you. Apply Today! Start your career with 1-800-GOT-JUNK? and join a team that helps people every single day. Southwind encourages team members to lead with innovation and purpose. We're a company built on integrity, teamwork, and ongoing development. Join us and help redefine home services. Apply Now!", "summaryDescription" : "Sales In-Training and Truck Team at 1-800-GOT-JUNK?. Skills: Sales, Customer service, Closing. Provide on-site estimates. Confidently close sales", "postedDate" : "2026-06-16T01:20:08.036", "createdAt" : "2026-06-16T01:20:08.036", "lastUpdated" : "2026-06-16T15:13:20.466", "ingestTimestamp" : "2026-06-16T01:20:08.036", "mongoId" : "6a307061f292fd229cff4075", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 54080, "salaryAnnualMax" : 64480, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Closing sales", "On-site estimates", "Confidence", "Sales", "Customer service", "Closing", "Sales skills", "Negotiation pricing", "Relationship building", "Junk removal" ], "skillCount" : 10, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307061f292fd229cff4079", "title" : "Sales In-Training and Truck Team", "company" : "1-800-GOT-JUNK?", "industry" : "Logistics", "salary" : { "min" : 15.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Longmont, Colorado, United States", "locations" : [ "Longmont", "Colorado", "United States" ], "timestamp" : "2026-06-16T12:06:57.705", "fingerprint" : "e95564c4067e1f7ee244f8b3fc41f3a5b88bd7e537b4ad38d819d4e8c4a40760", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/1800gotjunk/jobs/4286020009", "externalId" : "4286020009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Longmont", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.1672117,-105.1019280" } ], "locationText" : "Longmont, Colorado, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Sales skills", "Customer service", "Negotiation pricing", "Relationship building" ], "hardSkillsList" : [ "Closing sales", "Overcome objections" ], "softSkillsList" : [ "Confidence" ], "hardSkills" : [ { "name" : "Closing sales", "level" : "intermediate" }, { "name" : "Overcome objections", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Confidence" } ], "majorSkills" : "Sales, Customer service, Closing", "majorSkillsList" : [ "Sales", "Customer service", "Closing" ], "coreResponsibilities" : "Provide on-site estimates, Confidently close sales, Build trust with customers, Remove unwanted items, Work efficiently with a team, Complete daily routes, Deliver WOW-level customer service, Lift, carry, load, and maneuver items, Keep trucks clean, Keep trucks organized, Keep trucks professional, Represent the brand with energy, Represent the brand with integrity, Represent the brand with professionalism", "teamCollaboration" : "Work with a team", "domainKnowledge" : "Junk removal", "domainList" : [ "junk-removal" ], "domainSpecificKnowledge" : [ "Junk removal" ], "communicationSkills" : "Communicate with customers", "continuousLearning" : "Paid training", "problemSolvingSkills" : "Overcome objections", "specialRequirements" : "Ability to lift 70–85+ lbs repeatedly", "qualificationsBasic" : "21+ years old, Valid driver's license, Reliable transportation, Weekend availability", "qualificationsPreferred" : "No junk removal experience needed", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ready to build a high-energy career where every day is different? Join our Field Sales & Service Team and help us deliver exceptional customer moments and powerful service experiences. We're Southwind— the highest-performing 1-800-GOT-JUNK? franchise group — built on integrity, accountability, and investing in people. Sales In-Training/ Truck Team 1-800-GOT-JUNK? Location: Longmont, CO Pay: $25–$30+/hour (Profit Share + Tips + $15.50/hr) Job Type: Full-Time Are you interested in getting into sales, but don’t know where to start? At 1-800-GOT-JUNK?, we train people from the ground up. This is a unique opportunity to develop real-world sales skills in a fast-paced, active environment. Our customers called us because they need help solving a problem, and they have already decided to spend money to fix that problem. Your job is to build trust, create a great experience, confidently price the job, and close the sale on-site. You will learn how to communicate with customers, overcome objections, negotiate pricing, and deliver excellent service, all while staying active and working with a high-energy team. What You’ll Do: Provide on-site estimates and confidently close sales Build trust with customers through strong communication and professionalism Remove unwanted items from homes and businesses Work efficiently with a team to complete daily routes Deliver WOW-level customer service on every job Lift, carry, load, and maneuver items throughout the day Keep trucks clean, organized, and professional Represent the brand with energy, integrity, and professionalism It is one of the best ways to build foundational sales skills: Communication Negotiation Confidence Customer psychology Relationship-building Closing Many of our top performers go on to leadership, operations, recruiting, or higher-level sales roles. Requirements: Must be 21+ years old Valid driver’s license required Ability to lift 70–85+ lbs repeatedly Weekend availability required Reliable transportation Team-oriented attitude No junk removal experience needed. We train you. Schedule: 4–5 shifts per week 8–10 hour shifts Weekend availability required Typical start times are 7am or 12pm depending on business needs Pay & Benefits: Hourly base pay Tips Uncapped profit share & performance incentives Overtime opportunities Paid training Flexible scheduling options Advancement opportunities Full benefits package including Medical, Dental, and Vision Retirement options Fun, energetic team environment Growth Opportunities: We promote from within whenever possible. Advancement pathways may include: Certified Sales Lead Operations Lead People Development Lead Senior Sales Director of Operations Director of People Development General Manager Why Join Us? At Southwind and 1-800-GOT-JUNK?, we believe: “Anything is possible. Invest in people. Change the world.” This is more than a labor job. It is an opportunity to build confidence, communication skills, sales experience, and leadership abilities while earning strong money in a fast-paced environment where no two days are the same. If you are competitive, outgoing, hardworking, and ready to grow, we want to meet you. Apply Today! Start your career with 1-800-GOT-JUNK? and join a team that helps people every single day. Southwind encourages team members to lead with innovation and purpose. We're a company built on integrity, teamwork, and ongoing development. Join us and help redefine home services. Apply Now!", "summaryDescription" : "Sales In-Training and Truck Team at 1-800-GOT-JUNK?. Skills: Sales, Customer service, Closing. Provide on-site estimates. Confidently close sales", "postedDate" : "2026-06-16T01:20:02.857", "createdAt" : "2026-06-16T01:20:02.857", "lastUpdated" : "2026-06-16T12:06:57.705", "ingestTimestamp" : "2026-06-16T01:20:02.857", "mongoId" : "6a307061f292fd229cff4079", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31200, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Closing sales", "Overcome objections", "Confidence", "Sales", "Customer service", "Closing", "Sales skills", "Negotiation pricing", "Relationship building", "Junk removal" ], "skillCount" : 10, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307061f292fd229cff4078", "title" : "Sales In-Training and Truck Team", "company" : "1-800-GOT-JUNK?", "industry" : "Logistics", "salary" : { "min" : 15.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Centennial, Colorado, United States", "locations" : [ "Centennial", "Colorado", "United States" ], "timestamp" : "2026-06-16T12:16:26.666", "fingerprint" : "bf1b2aba2e3753d8fa789447aa191ade35e0b205012c71e657c023e5cf3e4cb5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/1800gotjunk/jobs/4286009009", "externalId" : "4286009009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Centennial", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.5791550,-104.8769227" } ], "locationText" : "Centennial, Colorado, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Sales skills", "Customer service", "Negotiation pricing", "Relationship-building", "Customer psychology" ], "hardSkillsList" : [ "Pricing jobs", "Closing sales" ], "softSkillsList" : [ "Confidence" ], "hardSkills" : [ { "name" : "Pricing jobs", "level" : "intermediate" }, { "name" : "Closing sales", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Confidence" } ], "majorSkills" : "Sales, Customer service, Closing", "majorSkillsList" : [ "Sales", "Customer service", "Closing" ], "coreResponsibilities" : "Provide on-site estimates, Confidently close sales, Build trust with customers, Remove unwanted items, Work efficiently with a team, Complete daily routes, Deliver WOW-level customer service, Lift, carry, load, and maneuver items, Keep trucks clean, Keep trucks organized, Keep trucks professional, Represent the brand with energy, Represent the brand with integrity, Represent the brand with professionalism", "teamCollaboration" : "Work with a team", "domainKnowledge" : "Junk removal", "domainList" : [ "junk-removal" ], "domainSpecificKnowledge" : [ "Junk removal" ], "communicationSkills" : "Communicate with customers", "continuousLearning" : "Paid training", "problemSolvingSkills" : "Overcome objections", "specialRequirements" : "Ability to lift 70–85+ lbs repeatedly", "qualificationsBasic" : "Valid driver’s license, Must be 21+ years old, Weekend availability required, Reliable transportation, Team-oriented attitude", "qualificationsPreferred" : "No junk removal experience needed", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ready to build a high-energy career where every day is different? Join our Field Sales & Service Team and help us deliver exceptional customer moments and powerful service experiences. We're Southwind— the highest-performing 1-800-GOT-JUNK? franchise group — built on integrity, accountability, and investing in people. Sales In-Training/ Truck Team 1-800-GOT-JUNK? Location: Centennial, CO Pay: $25–$30+/hour (Profit Share + Tips + $15.50/hr base) Job Type: Full-Time Are you interested in getting into sales, but do not know where to start? At 1-800-GOT-JUNK?, we train people from the ground up. This is a unique opportunity to develop real-world sales skills in a fast-paced, active environment. Our customers called us because they need help solving a problem, and they have already decided to spend money to fix that problem. Your job is to build trust, create a great experience, confidently price the job, and close the sale on-site. You will learn how to communicate with customers, overcome objections, negotiate pricing, and deliver excellent service, all while staying active and working with a high-energy team. What You’ll Do: Provide on-site estimates and confidently close sales Build trust with customers through strong communication and professionalism Remove unwanted items from homes and businesses Work efficiently with a team to complete daily routes Deliver WOW-level customer service on every job Lift, carry, load, and maneuver items throughout the day Keep trucks clean, organized, and professional Represent the brand with energy, integrity, and professionalism It is one of the best ways to build foundational sales skills: Communication Negotiation Confidence Customer psychology Relationship-building Closing Many of our top performers go on to leadership, operations, recruiting, or higher-level sales roles. Requirements: Must be 21+ years old Valid driver’s license required Ability to lift 70–85+ lbs repeatedly Weekend availability required Reliable transportation Team-oriented attitude No junk removal experience needed. We train you. Schedule: 4–5 shifts per week 8–10 hour shifts Weekend availability required Typical start times are 7am or 12pm depending on business needs Pay & Benefits: Hourly base pay Tips Uncapped profit share & performance incentives Overtime opportunities Paid training Flexible scheduling options Advancement opportunities Full benefits package including Medical, Dental, and Vision Retirement options Fun, energetic team environment Growth Opportunities: We promote from within whenever possible. Advancement pathways may include: Certified Sales Lead Operations Lead People Development Lead Senior Sales Director of Operations Director of People Development General Manager Why Join Us? At Southwind and 1-800-GOT-JUNK?, we believe: “Anything is possible. Invest in people. Change the world.” This is more than a labor job. It is an opportunity to build confidence, communication skills, sales experience, and leadership abilities while earning strong money in a fast-paced environment where no two days are the same. If you are competitive, outgoing, hardworking, and ready to grow, we want to meet you. Apply Today! Start your career with 1-800-GOT-JUNK? and join a team that helps people every single day. Southwind encourages team members to lead with innovation and purpose. We're a company built on integrity, teamwork, and ongoing development. Join us and help redefine home services. Apply Now!", "summaryDescription" : "Sales In-Training and Truck Team at 1-800-GOT-JUNK?. Skills: Sales, Customer service, Closing. Provide on-site estimates. Confidently close sales", "postedDate" : "2026-06-16T01:18:51.725", "createdAt" : "2026-06-16T01:18:51.725", "lastUpdated" : "2026-06-16T12:16:26.666", "ingestTimestamp" : "2026-06-16T01:18:51.725", "mongoId" : "6a307061f292fd229cff4078", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31200, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Pricing jobs", "Closing sales", "Confidence", "Sales", "Customer service", "Closing", "Sales skills", "Negotiation pricing", "Relationship-building", "Customer psychology", "Junk removal" ], "skillCount" : 11, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307061f292fd229cff407a", "title" : "Sales In-Training and Truck Team", "company" : "1-800-GOT-JUNK?", "industry" : "Logistics", "salary" : { "min" : 16.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Minneapolis, Minnesota, United States", "locations" : [ "Minneapolis", "Minnesota", "United States" ], "timestamp" : "2026-06-16T10:24:31.188", "fingerprint" : "d7d0eb113e793a462b6938f6404aa3585c3b3633cb23733897d2770d09f62408", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/1800gotjunk/jobs/4286025009", "externalId" : "4286025009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Minneapolis", "state" : "Minnesota", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.9772995,-93.2654692" } ], "locationText" : "Minneapolis, Minnesota, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Sales skills", "Customer service", "Negotiation pricing", "Relationship building", "Closing sales" ], "hardSkillsList" : [ "Junk removal" ], "softSkillsList" : [ "Confidence" ], "hardSkills" : [ { "name" : "Junk removal", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Confidence" } ], "majorSkills" : "Sales, Customer service, Closing", "majorSkillsList" : [ "Sales", "Customer service", "Closing" ], "coreResponsibilities" : "Provide on-site estimates, Confidently close sales, Build trust with customers, Remove unwanted items, Work efficiently with a team, Complete daily routes, Deliver WOW-level customer service, Lift, carry, load, and maneuver items, Keep trucks clean, Keep trucks organized, Keep trucks professional, Represent the brand with energy, Represent the brand with integrity, Represent the brand with professionalism", "teamCollaboration" : "Work with a team", "domainKnowledge" : "Junk removal", "domainList" : [ "junk-removal" ], "domainSpecificKnowledge" : [ "Junk removal" ], "communicationSkills" : "Communicate with customers", "continuousLearning" : "Paid training", "problemSolvingSkills" : "Overcome objections", "specialRequirements" : "Lift 70–85+ lbs repeatedly, Weekend availability required", "qualificationsBasic" : "21+ years old, Valid driver’s license, Ability to lift 70–85+ lbs repeatedly, Weekend availability, Reliable transportation, Team-oriented attitude", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ready to build a high-energy career where every day is different? Join our Field Sales & Service Team and help us deliver exceptional customer moments and powerful service experiences. We're Southwind— the highest-performing 1-800-GOT-JUNK? franchise group — built on integrity, accountability, and investing in people. Sales In-Training/ Truck Team 1-800-GOT-JUNK? Location: Minneapolis, MN Pay: $26–$31+/hour (Profit Share + Tips + $16.50/hr base) Job Type: Full-Time Are you interested in getting into sales, but do not know where to start? At 1-800-GOT-JUNK?, we train people from the ground up. This is a unique opportunity to develop real-world sales skills in a fast-paced, active environment. Our customers called us because they need help solving a problem, and they have already decided to spend money to fix that problem. Your job is to build trust, create a great experience, confidently price the job, and close the sale on-site. You will learn how to communicate with customers, overcome objections, negotiate pricing, and deliver excellent service, all while staying active and working with a high-energy team. What You’ll Do: Provide on-site estimates and confidently close sales Build trust with customers through strong communication and professionalism Remove unwanted items from homes and businesses Work efficiently with a team to complete daily routes Deliver WOW-level customer service on every job Lift, carry, load, and maneuver items throughout the day Keep trucks clean, organized, and professional Represent the brand with energy, integrity, and professionalism It is one of the best ways to build foundational sales skills: Communication Negotiation Confidence Customer psychology Relationship-building Closing Many of our top performers go on to leadership, operations, recruiting, or higher-level sales roles. Requirements: Must be 21+ years old Valid driver’s license required Ability to lift 70–85+ lbs repeatedly Weekend availability required Reliable transportation Team-oriented attitude No junk removal experience needed. We train you. Schedule: 4–5 shifts per week 8–10 hour shifts Weekend availability required Typical start times are 7am or 12pm depending on business needs Pay & Benefits: Hourly base pay Tips Uncapped profit share & performance incentives Overtime opportunities Paid training Flexible scheduling options Advancement opportunities Full benefits package including Medical, Dental, and Vision Retirement options Fun, energetic team environment Growth Opportunities: We promote from within whenever possible. Advancement pathways may include: Certified Sales Lead Operations Lead People Development Lead Senior Sales Director of Operations Director of People Development General Manager Why Join Us? At Southwind and 1-800-GOT-JUNK?, we believe: “Anything is possible. Invest in people. Change the world.” This is more than a labor job. It is an opportunity to build confidence, communication skills, sales experience, and leadership abilities while earning strong money in a fast-paced environment where no two days are the same. If you are competitive, outgoing, hardworking, and ready to grow, we want to meet you. Apply Today! Start your career with 1-800-GOT-JUNK? and join a team that helps people every single day. Southwind encourages team members to lead with innovation and purpose. We're a company built on integrity, teamwork, and ongoing development. Join us and help redefine home services. Apply Now!", "summaryDescription" : "Sales In-Training and Truck Team at 1-800-GOT-JUNK?. Skills: Sales, Customer service, Closing. Provide on-site estimates. Confidently close sales", "postedDate" : "2026-06-16T01:18:03.692", "createdAt" : "2026-06-16T01:18:03.692", "lastUpdated" : "2026-06-16T10:24:31.188", "ingestTimestamp" : "2026-06-16T01:18:03.692", "mongoId" : "6a307061f292fd229cff407a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 33280, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Junk removal", "Confidence", "Sales", "Customer service", "Closing", "Sales skills", "Negotiation pricing", "Relationship building", "Closing sales" ], "skillCount" : 9, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307061f292fd229cff4077", "title" : "Sales In-Training and Truck Team", "company" : "1-800-GOT-JUNK?", "industry" : "Logistics", "salary" : { "min" : 11.0, "max" : 25.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Baton Rouge, Louisiana, United States", "locations" : [ "Baton Rouge", "Louisiana", "United States" ], "timestamp" : "2026-06-16T12:05:36.901", "fingerprint" : "39ea6f6b237206421d3f9c956972481c994ef95828669e9bff86632d78f952f1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/1800gotjunk/jobs/4286028009", "externalId" : "4286028009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Baton Rouge", "state" : "Louisiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.4494155,-91.1869659" }, { "city" : "Prairieville", "state" : "Louisiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.3122527,-90.9497329" } ], "locationText" : "Baton Rouge, Louisiana, United States; Prairieville, Louisiana, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Sales skills", "Customer service", "Negotiation", "Pricing", "Relationship building" ], "hardSkillsList" : [ "Lifting 70–85+ lbs" ], "softSkillsList" : [ "Confidence", "Energy" ], "hardSkills" : [ { "name" : "Lifting 70–85+ lbs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Confidence" }, { "name" : "Energy" } ], "majorSkills" : "Sales, Customer service, Closing sales", "majorSkillsList" : [ "Sales", "Customer service", "Closing sales" ], "coreResponsibilities" : "Provide on-site estimates, Close sales, Build trust with customers, Remove unwanted items, Work efficiently with a team, Complete daily routes, Deliver WOW-level customer service, Lift, carry, load, and maneuver items, Keep trucks clean, Keep trucks organized, Keep trucks professional, Represent the brand", "teamCollaboration" : "Work with a team", "domainKnowledge" : "Junk removal", "domainList" : [ "junk-removal" ], "domainSpecificKnowledge" : [ "Junk removal" ], "communicationSkills" : "Communicate with customers", "continuousLearning" : "Paid training", "problemSolvingSkills" : "Overcome objections", "specialRequirements" : "Lift 70–85+ lbs repeatedly", "qualificationsBasic" : "21+ years old, Valid driver’s license, Weekend availability, Reliable transportation, Team-oriented attitude", "qualificationsPreferred" : "Junk removal experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ready to build a high-energy career where every day is different? Join our Field Sales & Service Team and help us deliver exceptional customer moments and powerful service experiences. We're Southwind— the highest-performing 1-800-GOT-JUNK? franchise group — built on integrity, accountability, and investing in people. Sales In-Training/ Truck Team 1-800-GOT-JUNK? Location: Prairieville, LA Pay: $20–$25+/hour (Profit Share + Tips + $11/hr base) Job Type: Full-Time Are you interested in getting into sales, but don’t know where to start? At 1-800-GOT-JUNK?, we train people from the ground up. This is a unique opportunity to develop real-world sales skills in a fast-paced, active environment. Our customers called us because they need help solving a problem, and they have already decided to spend money to fix that problem. Your job is to build trust, create a great experience, confidently price the job, and close the sale on-site. You will learn how to communicate with customers, overcome objections, negotiate pricing, and deliver excellent service, all while staying active and working with a high-energy team. What You’ll Do: Provide on-site estimates and confidently close sales Build trust with customers through strong communication and professionalism Remove unwanted items from homes and businesses Work efficiently with a team to complete daily routes Deliver WOW-level customer service on every job Lift, carry, load, and maneuver items throughout the day Keep trucks clean, organized, and professional Represent the brand with energy, integrity, and professionalism It is one of the best ways to build foundational sales skills: Communication Negotiation Confidence Customer psychology Relationship-building Closing Many of our top performers go on to leadership, operations, recruiting, or higher-level sales roles. Requirements: Must be 21+ years old Valid driver’s license required Ability to lift 70–85+ lbs repeatedly Weekend availability required Reliable transportation Team-oriented attitude No junk removal experience needed. We train you. Schedule: 4–5 shifts per week 8–10 hour shifts Weekend availability required Typical start times are 7am or 12pm depending on business needs Pay & Benefits: Hourly base pay Tips Uncapped profit share & performance incentives Overtime opportunities Paid training Flexible scheduling options Advancement opportunities Full benefits package including Medical, Dental, and Vision Retirement options Fun, energetic team environment Growth Opportunities: We promote from within whenever possible. Advancement pathways may include: Certified Sales Lead Operations Lead People Development Lead Senior Sales Director of Operations Director of People Development General Manager Why Join Us? At Southwind and 1-800-GOT-JUNK?, we believe: “Anything is possible. Invest in people. Change the world.” This is more than a labor job. It is an opportunity to build confidence, communication skills, sales experience, and leadership abilities while earning strong money in a fast-paced environment where no two days are the same. If you are competitive, outgoing, hardworking, and ready to grow, we want to meet you. Apply Today! Start your career with 1-800-GOT-JUNK? and join a team that helps people every single day. Southwind encourages team members to lead with innovation and purpose. We're a company built on integrity, teamwork, and ongoing development. Join us and help redefine home services. Apply Now!", "summaryDescription" : "Sales In-Training and Truck Team at 1-800-GOT-JUNK?. Skills: Sales, Customer service, Closing sales. Provide on-site estimates. Close sales", "postedDate" : "2026-06-16T01:17:20.940", "createdAt" : "2026-06-16T01:17:20.940", "lastUpdated" : "2026-06-16T12:05:36.901", "ingestTimestamp" : "2026-06-16T01:17:20.940", "mongoId" : "6a307061f292fd229cff4077", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 22880, "salaryAnnualMax" : 52000, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Lifting 70–85+ lbs", "Confidence", "Energy", "Sales", "Customer service", "Closing sales", "Sales skills", "Negotiation", "Pricing", "Relationship building", "Junk removal" ], "skillCount" : 11, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307061f292fd229cff4076", "title" : "Sales In-Training and Truck Team", "company" : "1-800-GOT-JUNK?", "industry" : "Logistics", "salary" : { "min" : 21.0, "max" : 26.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boise, Idaho, United States", "locations" : [ "Boise", "Idaho", "United States" ], "timestamp" : "2026-06-16T11:42:15.091", "fingerprint" : "f9ca604e64682b0153ec906588cac08ee438003fa00f5375df506c227286c99a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/1800gotjunk/jobs/4286031009", "externalId" : "4286031009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boise", "state" : "Idaho", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6166163,-116.2008860" } ], "locationText" : "Boise, Idaho, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Sales skills", "Customer service", "Negotiation pricing", "Relationship building" ], "hardSkillsList" : [ "Junk removal", "On-site estimates" ], "softSkillsList" : [ "Confidence" ], "hardSkills" : [ { "name" : "Junk removal", "level" : "intermediate" }, { "name" : "On-site estimates", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Confidence" } ], "majorSkills" : "Sales, Customer service, Closing sales", "majorSkillsList" : [ "Sales", "Customer service", "Closing sales" ], "coreResponsibilities" : "Provide on-site estimates, Confidently close sales, Build trust with customers, Remove unwanted items, Work efficiently with a team, Complete daily routes, Deliver WOW-level customer service, Lift, carry, load, and maneuver items, Keep trucks clean, organized, and professional, Represent the brand with energy", "teamCollaboration" : "Work efficiently with a team", "domainKnowledge" : "Home services", "domainList" : [ "home-services" ], "domainSpecificKnowledge" : [ "Home services" ], "communicationSkills" : "Communication", "continuousLearning" : "Paid training; Growth Opportunities", "specialRequirements" : "Weekend availability required", "qualificationsBasic" : "Must be 21+ years old, Valid driver’s license required, Ability to lift 70–85+ lbs repeatedly, Weekend availability required, Reliable transportation, Team-oriented attitude", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ready to build a high-energy career where every day is different? Join our Field Sales & Service Team and help us deliver exceptional customer moments and powerful service experiences. We're Southwind— the highest-performing 1-800-GOT-JUNK? franchise group — built on integrity, accountability, and investing in people. Sales In-Training/ Truck Team 1-800-GOT-JUNK? Location: Boise, ID Pay: $21–$26+/hour (Profit Share + Tips + $11/hr) Job Type: Full-Time Are you interested in getting into sales, but don’t know where to start? At 1-800-GOT-JUNK?, we train people from the ground up. This is a unique opportunity to develop real-world sales skills in a fast-paced, active environment. Our customers called us because they need help solving a problem, and they have already decided to spend money to fix that problem. Your job is to build trust, create a great experience, confidently price the job, and close the sale on-site. You will learn how to communicate with customers, overcome objections, negotiate pricing, and deliver excellent service, all while staying active and working with a high-energy team. What You’ll Do: Provide on-site estimates and confidently close sales Build trust with customers through strong communication and professionalism Remove unwanted items from homes and businesses Work efficiently with a team to complete daily routes Deliver WOW-level customer service on every job Lift, carry, load, and maneuver items throughout the day Keep trucks clean, organized, and professional Represent the brand with energy, integrity, and professionalism It is one of the best ways to build foundational sales skills: Communication Negotiation Confidence Customer psychology Relationship-building Closing Many of our top performers go on to leadership, operations, recruiting, or higher-level sales roles. Requirements: Must be 21+ years old Valid driver’s license required Ability to lift 70–85+ lbs repeatedly Weekend availability required Reliable transportation Team-oriented attitude No junk removal experience needed. We train you. Schedule: 4–5 shifts per week 8–10 hour shifts Weekend availability required Typical start times are 7am or 12pm depending on business needs Pay & Benefits: Hourly base pay Tips Uncapped profit share & performance incentives Overtime opportunities Paid training Flexible scheduling options Advancement opportunities Full benefits package including Medical, Dental, and Vision Retirement options Fun, energetic team environment Growth Opportunities: We promote from within whenever possible. Advancement pathways may include: Certified Sales Lead Operations Lead People Development Lead Senior Sales Director of Operations Director of People Development General Manager Why Join Us? At Southwind and 1-800-GOT-JUNK?, we believe: “Anything is possible. Invest in people. Change the world.” This is more than a labor job. It is an opportunity to build confidence, communication skills, sales experience, and leadership abilities while earning strong money in a fast-paced environment where no two days are the same. If you are competitive, outgoing, hardworking, and ready to grow, we want to meet you. Apply Today! Start your career with 1-800-GOT-JUNK? and join a team that helps people every single day. Southwind encourages team members to lead with innovation and purpose. We're a company built on integrity, teamwork, and ongoing development. Join us and help redefine home services. Apply Now!", "summaryDescription" : "Sales In-Training and Truck Team at 1-800-GOT-JUNK?. Skills: Sales, Customer service, Closing sales. Provide on-site estimates. Confidently close sales", "postedDate" : "2026-06-16T01:17:13.749", "createdAt" : "2026-06-16T01:17:13.749", "lastUpdated" : "2026-06-16T11:42:15.091", "ingestTimestamp" : "2026-06-16T01:17:13.749", "mongoId" : "6a307061f292fd229cff4076", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 43680, "salaryAnnualMax" : 54080, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Junk removal", "On-site estimates", "Confidence", "Sales", "Customer service", "Closing sales", "Sales skills", "Negotiation pricing", "Relationship building", "Home services" ], "skillCount" : 10, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307061f292fd229cff4074", "title" : "Sales In-Training and Truck Team", "company" : "1-800-GOT-JUNK?", "industry" : "Logistics", "salary" : { "min" : 22.0, "max" : 26.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Salt Lake City, Utah, United States", "locations" : [ "Salt Lake City", "Utah", "United States" ], "timestamp" : "2026-06-16T14:50:12.738", "fingerprint" : "667688917eb764b78e5ecadb682218a66777c5e297c034f8ed0806af9417ed19", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/1800gotjunk/jobs/4286023009", "externalId" : "4286023009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "West Valley City", "state" : "Utah", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.6967891,-111.9866954" } ], "locationText" : "West Valley City, Utah, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Sales skills", "Customer service", "Negotiation pricing", "Relationship building" ], "hardSkillsList" : [ "Junk removal" ], "softSkillsList" : [ "Outgoing" ], "hardSkills" : [ { "name" : "Junk removal", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Outgoing" } ], "majorSkills" : "Sales, Customer service, Closing sales", "majorSkillsList" : [ "Sales", "Customer service", "Closing sales" ], "coreResponsibilities" : "Provide on-site estimates, Confidently close sales, Build trust with customers, Remove unwanted items, Work efficiently with a team, Complete daily routes, Deliver WOW-level customer service, Lift, carry, load, and maneuver items, Keep trucks clean, organized, and professional, Represent the brand with energy", "teamCollaboration" : "Work with a high-energy team; Team-oriented attitude", "domainKnowledge" : "Junk removal", "domainList" : [ "junk-removal" ], "domainSpecificKnowledge" : [ "Junk removal" ], "communicationSkills" : "Communicate with customers", "continuousLearning" : "Paid training; Advancement opportunities", "problemSolvingSkills" : "Solve problems", "specialRequirements" : "Lift 70–85+ lbs repeatedly, Weekend availability required", "qualificationsBasic" : "Must be 21+ years old, Valid driver’s license required, Ability to lift 70–85+ lbs repeatedly, Weekend availability required, Reliable transportation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ready to build a high-energy career where every day is different? Join our Field Sales & Service Team and help us deliver exceptional customer moments and powerful service experiences. We're Southwind— the highest-performing 1-800-GOT-JUNK? franchise group — built on integrity, accountability, and investing in people. Sales In-Training/ Truck Team 1-800-GOT-JUNK? Location: West Valley CIty, UT Pay: $22–$26+/hour (Profit Share + Tips + $12/hr) Job Type: Full-Time Are you interested in getting into sales, but do not know where to start? At 1-800-GOT-JUNK?, we train people from the ground up. This is a unique opportunity to develop real-world sales skills in a fast-paced, active environment. Our customers already called us because they need help solving a problem. Your job is to build trust, create a great experience, confidently price the job, and close the sale on-site. You will learn how to communicate with customers, overcome objections, negotiate pricing, and deliver excellent service, all while staying active and working with a high-energy team. No cold calling. No sitting behind a desk all day. No chasing leads. Just real conversations with real customers who already need what we offer. We are the world's largest junk removal company, and Southwind, the owner of 1-800-GOT-JUNK? locations across the U.S., is growing rapidly. We are looking for motivated, outgoing people who want to grow their confidence, communication skills, and earning potential. What You’ll Do: Provide on-site estimates and confidently close sales Build trust with customers through strong communication and professionalism Remove unwanted items from homes and businesses Work efficiently with a team to complete daily routes Deliver WOW-level customer service on every job Lift, carry, load, and maneuver items throughout the day Keep trucks clean, organized, and professional Represent the brand with energy, integrity, and professionalism This is a great introduction to sales because our sales process is different: Our customers already reached out to us because they have a problem they want solved. They know they are spending money. Your job is to guide the conversation, create value, and help them feel confident choosing us. It is one of the best ways to build foundational sales skills: Communication Negotiation Confidence Customer psychology Relationship-building Closing Many of our top performers go on to leadership, operations, recruiting, or higher-level sales roles. What We’re Looking For: Sales-Minded: You enjoy talking to people, building relationships, and persuading confidently. Energetic: You like staying active and working hands-on instead of sitting behind a desk all day. Customer-Focused: You care about delivering a great experience and helping people. Dependable: You show up on time, work hard, and contribute positively to the team. Strong Communicator: You can think on your feet, solve problems, and communicate clearly. Requirements: Must be 21+ years old Valid driver’s license required Ability to lift 70–85+ lbs repeatedly Weekend availability required Reliable transportation Team-oriented attitude No junk removal experience needed. We train you. Schedule: 4–5 shifts per week 8–10 hour shifts Weekend availability required Typical start times are 7am or 12pm depending on business needs Pay & Benefits: Hourly base pay Tips Uncapped profit share & performance incentives Overtime opportunities Paid training Flexible scheduling options Advancement opportunities Full benefits package including Medical, Dental, and Vision Retirement options Fun, energetic team environment Growth Opportunities: We promote from within whenever possible. Advancement pathways may include: Certified Sales Lead Operations Lead People Development Lead Senior Sales Director of Operations Director of People Development General Manager Why Join Us? At Southwind and 1-800-GOT-JUNK?, we believe: “Anything is possible. Invest in people. Change the world.” This is more than a labor job. It is an opportunity to build confidence, communication skills, sales experience, and leadership abilities while earning strong money in a fast-paced environment where no two days are the same. If you are competitive, outgoing, hardworking, and ready to grow, we want to meet you. Apply Today! Start your career with 1-800-GOT-JUNK? and join a team that helps people every single day. Southwind encourages team members to lead with innovation and purpose. We're a company built on integrity, teamwork, and ongoing development. Join us and help redefine home services. Apply Now!", "summaryDescription" : "Sales In-Training and Truck Team at 1-800-GOT-JUNK?. Skills: Sales, Customer service, Closing sales. Provide on-site estimates. Confidently close sales", "postedDate" : "2026-06-16T01:16:44.093", "createdAt" : "2026-06-16T01:16:44.093", "lastUpdated" : "2026-06-16T14:50:12.738", "ingestTimestamp" : "2026-06-16T01:16:44.093", "mongoId" : "6a307061f292fd229cff4074", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45760, "salaryAnnualMax" : 54080, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Junk removal", "Outgoing", "Sales", "Customer service", "Closing sales", "Sales skills", "Negotiation pricing", "Relationship building" ], "skillCount" : 8, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Services", "llmIndustryConfidence" : 0.98 }, { "id" : "69cf26122beec4dd3d90b446", "title" : "EVS Equipment and Supply Tech", "company" : "Tampa General Hospital", "industry" : "Healthcare", "salary" : { "min" : 37000.0, "max" : 48000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level EVS Equipment and Supply Tech in Tampa, FL, adjusted for the healthcare industry and company size." }, "location" : "United States-Florida-Tampa", "locations" : [ "United States-Florida-Tampa", "
TGH Main Campus (TGHMAIN)
1 Tampa General Circle

Tampa, 33601

" ], "timestamp" : "2026-06-16T02:28:17.203", "fingerprint" : "c5b18cac3775d61d2989b2513dc76f0f30fef1bcdd5baf0fa9056a64d1c8a2e8", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=676634", "externalId" : "676634", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "minimumEducation" : "High School", "experienceMinYears" : 3, "experienceMaxYears" : 6, "coreResponsibilities" : "Prepare supply orders for Environmental Services Aide, Conduct weekly inventory of supplies, Prepare supply request and submit to purchasing, Wash and dry mops, Wash and dry dust mops, Wash and dry window treatments, Wash and dry cubicle curtains", "domainKnowledge" : "Environmental services; Hospital setting", "domainList" : [ "environmental-services", "hospital-setting" ], "domainSpecificKnowledge" : [ "Environmental services", "Hospital setting" ], "specialRequirements" : "Direct supervision of Director and Assistant Director", "qualificationsBasic" : "Completion of 10th grade, 3-6 months experience in environmental services, Ability to follow oral and written instructions, Ability to lift minimum of 25lbs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under the direct supervision of Director and Assistant Director of Environmental Services, the storeroom aide is responsible for preparing supply orders for the Environmental Services Aide, as well as conducts weekly inventory of supplies. Once weekly, prepares orders supply request and submits to purchasing. Daily washes and dries mops/dust mops/window treatments and cubicle curtains for the department by utilizing department washer and dryer. Responsible for performing job duties in accordance with the mission, vision and values of Tampa General Hospital. Ability to follow oral and written instructions. Ability to lift minimum of 25lbs. Completion of 10th grade or Three to six months (3-6) of experience in environmental services in a hospital setting. Tampa", "summaryDescription" : "EVS Equipment and Supply Tech at Tampa General Hospital. Prepare supply orders for Environmental Services Aide. Conduct weekly inventory of supplies", "createdAt" : "2026-06-14T18:49:55.750", "lastUpdated" : "2026-06-16T02:28:17.203", "ingestTimestamp" : "2026-06-14T18:49:55.750", "mongoId" : "69cf26122beec4dd3d90b446", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37000, "salaryAnnualMax" : 48000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Environmental services", "Hospital setting" ], "skillCount" : 2, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f7ab", "title" : "CAD customization using. NET (C#), VB", "company" : "Mercedes-Benz Research and Development India", "industry" : "Manufacturing", "salary" : { "min" : 1450000.0, "max" : 2150000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level CAD customization role using .NET (C#), VB in the Automotive industry in Bangalore, India, adjusted for seniority and company size." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "Brigade Tech Gardens, Katha No. 119, Kundalahalli Village, K.R. Puram Hobli, Ward No. 85, Bangalore" ], "timestamp" : "2026-06-16T00:30:44.748", "fingerprint" : "ddfdae409a0ca3e41d89c8d3bd5d9b738080f7d4143d2102fb90f3cd2e65f613", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=889179", "externalId" : "889179", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 6, "experienceLevel" : "Mid", "technicalSkills" : "NET, C#, VB, Scripting, XML, NX-Open API, HTML, AI, Deep learning, C/C++", "professionalSkills" : [ "Automation", "Requirement gathering", "Project coordination", "Technical decisions", "Report writing", "Coding standards", "SDLC", "Agile methodologies", "Architectural patterns", "Quick PoC development" ], "hardSkillsList" : [ "NXOpen/UFUNC API", "C# (.NET)", "VB", "C/C++", "Scripting", "XML", "Visual Studio", "UIlock Styler", "WPF", "Siemens NX", "Modelling", "Drafting", "Coding standards", "JIRA", "Confluence", "KANBO", "DevOps", "CI/CD", "Cloud Knowhow" ], "softSkillsList" : [ "Analytical", "Problem-solving", "Leadership" ], "hardSkills" : [ { "name" : "NXOpen/UFUNC API", "level" : "intermediate" }, { "name" : "C# (.NET)", "level" : "intermediate" }, { "name" : "VB", "level" : "intermediate" }, { "name" : "C/C++", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "XML", "level" : "intermediate" }, { "name" : "Visual Studio", "level" : "intermediate" }, { "name" : "UIlock Styler", "level" : "intermediate" }, { "name" : "WPF", "level" : "intermediate" }, { "name" : "Siemens NX", "level" : "intermediate" }, { "name" : "Modelling", "level" : "intermediate" }, { "name" : "Drafting", "level" : "intermediate" }, { "name" : "Coding standards", "level" : "intermediate" }, { "name" : "JIRA", "level" : "intermediate" }, { "name" : "Confluence", "level" : "intermediate" }, { "name" : "KANBO", "level" : "intermediate" }, { "name" : "DevOps", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "Cloud Knowhow", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Problem-solving" }, { "name" : "Leadership" } ], "majorSkills" : "CAD Customization, NET, NXOpen API, Automation", "majorSkillsList" : [ "CAD Customization", "NET", "NXOpen API", "Automation" ], "coreResponsibilities" : "Develop desktop applications, Develop Macros, Develop Plugins, Customize CAD, Implement automation requirements, Gather requirements, Deliver automation solutions, Drive programs, Coordinate projects, Execute strategy, Align to strategy, Provide direction to team, Make project plans, Create schedules, Organize meetings, Moderate meetings, Coordinate meetings, Document meetings, Align technical decisions, Negotiate with clients, Review changes, Perform administration tasks, Write reports, Ensure project adheres to timeline, Comply with best coding practices, Ensure high quality deliveries, Use NX-Open API's, Prototype solutions, Develop complex solutions, Build projects, Deploy projects, Create Architecture Documentation, Create Specification, Create UI logic, Develop Quick PoC", "teamCollaboration" : "Multiple stakeholders; Technical decisions; Customer communication; Coordinate meetings", "projectManagementSkills" : [ "SDLC", "Agile (Scrum)", "Project plans", "Schedules" ], "domainKnowledge" : "Automotive design; CAD Customization; Siemens NX; NX Modelling; NX Drafting; Architectural patterns; Service oriented architecture; Micro services; Enterprise architecture", "domainList" : [ "automotive-design", "cad-customization", "siemens-nx", "nx-modelling", "nx-drafting", "architectural-patterns", "service-oriented-architecture", "micro-services", "enterprise-architecture" ], "domainSpecificKnowledge" : [ "Automotive design", "CAD Customization", "Siemens NX", "NX Modelling", "NX Drafting", "Architectural patterns", "Service oriented architecture", "Micro services", "Enterprise architecture" ], "toolProficiency" : [ "NXOpen API", "Visual Studio 2019", "Visual Studio 2022", "UIlock Styler", "WPF", "Siemens NX", "JIRA", "Confluence", "KANBO" ], "communicationSkills" : "Excellent Communication Skills; Communication and Moderation", "documentationSkills" : "Architecture Documentation; Specification", "innovationCreativity" : "Innovative Problem Solving", "problemSolvingSkills" : "Analytical and problem solving skills; Innovative Problem Solving", "outcomesObjectives" : "High quality deliveries", "qualificationsBasic" : "3-6 years relevant experience, Experience in CAD/CAE Customization, C# (.NET), VB, C/C++ language experience", "qualificationsPreferred" : "Siemens NX experience preferred", "remoteFriendly" : false, "rawDescription" : " Job Summary Develop standalone/integrated desktop applications, Macros & Plugins for CAD customization using .NET (C#), VB or other relevant languages. Proficiency in scripting, XML or other configurable file formats Implementation of automation requirement in the area of automotive design in the space of CAD Customization for RD. Involving in requirement gathering to end-to-end delivery of automation, driving program, coordinating projects, executing and aligning to the overall strategy, providing direction to the team, making project plans and schedules. Organizing, moderating, coordinating and documenting meetings/sessions to align technical decisions with multiple stakeholders for areas of responsibility Negotiating with clients and reviewing changes, administration tasks including report writing, and ensuring that the project adheres to the release timeline. Understand and comply with best coding practices to ensure high quality deliveries. Job Responsibility In this role, you will be responsible for: Usage of NX-Open API’s for prototyping, development and complex solutions Build and Deploy projects to test environment Creation of Architecture Documentation and Specification Creation of the UI logic Good knowledge of coding standards Should have participated in, and be familiar with, SDLC and Agile (Scrum) project methodologies Should have basic understanding of Architectural patterns (Service oriented, micro services, enterprise architecture patterns) Development of Quick PoC with latest technologies Strong Knowledge on C#/VB .Net, NX Strong Knowledge on various NX applications like Modelling, Drafting etc. Very good understanding on NXOpen/UFUNC APIs and their functionalities. · Good Knowledge on HTML, XML Data Processing and scripting. · Good knowledge on AI and deep learning Excellent Communication Skills, Analytical and problem-solving skills. Manage customer communication and Coordinate meetings for technical decisions. Work towards individual goals aligned with department and organizational objectives. Comply with organizational HR policies and procedures. Understand and adhere to organizational HSE policies and practices. DevOps and cloud knowledge Required qualifications Education: B.E., B. Tech, M.E or M. Tech, Mechanical or any related streams from reputed university. 3-6 years of relevant experience Experience in CAD/CAE Customization, Preferably in Siemens NX Language Experience: C# (.NET), VB, C/ C++ Required Technical Know-how Sl.No. Technology/Tool/Language Required Experience Range (in yrs) Expected proficiency (on a scale of 5) 1 NXOpen/ UFUNC API’s 3-6 5 2 C# (.NET), VB, C/ C++, Scripting , XML 3-6 5 3 Visual Studio 2019, 2022 3-6 5 4 UI/Block Styler/WPF 3-6 5 5 Siemens NX: Modelling, Drafting 3-6 4 6 Coding standards 3-6 4 7 JIRA, Confluence, KANBO 0-2 3 8 DevOps, CI/CD 0-2 3 9 Cloud Knowhow 0-2 3 10 Analytical and problem solving skills. 2-4 3 11 AI & Deep learning 0-2 3 Required Behavioral Competencies Sl.No. Competency Expected proficiency (on a scale of 5) 1 Communication and Moderation 5 2 Business and Results Orientation 4 3 Innovative Problem Solving 4 4 Character/Values 4 5 Leadership 3 6 Interpersonal Skills 3 About Engineering IT @ MBRDI Engineering IT is one of the IT departments within MBRDI. The focus of this department is to build innovative software products that would help assist the Engineering and Manufacturing of Mercedes-Benz Cars and Vans. About Mercedes-Benz Research and Development India Headquartered in Bengaluru was founded in 1996 as a captive unit to support Daimler’s research, IT and product development activities. We focus on topics ranging from computer-aided design and simulations (CAD, CAE) for powertrain, chassis and exteriors to embedded systems, telematics and developing various IT applications and tools. The satellite office in Pune specializes in interior component designs and IT engineering. It is now one of the largest global R&D centers outside Germany, employing more than 3000 + skilled engineers. It aims to collaborate closely with suppliers in India for its activities in product development and IT services. Job Summary Develop standalone/integrated desktop applications, Macros & Plugins for CAD customization using .NET (C#), VB or other relevant languages. Proficiency in scripting, XML or other configurable file formats Implementation of automation requirement in the area of automotive design in the space of CAD Customization for RD. Involving in requirement gathering to end-to-end delivery of automation, driving program, coordinating projects, executing and aligning to the overall strategy, providing direction to the team, making project plans and schedules. Organizing, moderating, coordinating and documenting meetings/sessions to align technical decisions with multiple stakeholders for areas of responsibility Negotiating with clients and reviewing changes, administration tasks including report writing, and ensuring that the project adheres to the release timeline. Understand and comply with best coding practices to ensure high quality deliveries. Job Responsibility In this role, you will be responsible for: Usage of NX-Open API’s for prototyping, development and complex solutions Build and Deploy projects to test environment Creation of Architecture Documentation and Specification Creation of the UI logic Good knowledge of coding standards Should have participated in, and be familiar with, SDLC and Agile (Scrum) project methodologies Should have basic understanding of Architectural patterns (Service oriented, micro services, enterprise architecture patterns) Development of Quick PoC with latest technologies Strong Knowledge on C#/VB .Net, NX Strong Knowledge on various NX applications like Modelling, Drafting etc. Very good understanding on NXOpen/UFUNC APIs and their functionalities. · Good Knowledge on HTML, XML Data Processing and scripting. · Good knowledge on AI and deep learning Excellent Communication Skills, Analytical and problem-solving skills. Manage customer communication and Coordinate meetings for technical decisions. Work towards individual goals aligned with department and organizational objectives. Comply with organizational HR policies and procedures. Understand and adhere to organizational HSE policies and practices. DevOps and cloud knowledge Required qualifications Education: B.E., B. Tech, M.E or M. Tech, Mechanical or any related streams from reputed university. 3-6 years of relevant experience Experience in CAD/CAE Customization, Preferably in Siemens NX Language Experience: C# (.NET), VB, C/ C++ Required Technical Know-how Sl.No. Technology/Tool/Language Required Experience Range (in yrs) Expected proficiency (on a scale of 5) 1 NXOpen/ UFUNC API’s 3-6 5 2 C# (.NET), VB, C/ C++, Scripting , XML 3-6 5 3 Visual Studio 2019, 2022 3-6 5 4 UI/Block Styler/WPF 3-6 5 5 Siemens NX: Modelling, Drafting 3-6 4 6 Coding standards 3-6 4 7 JIRA, Confluence, KANBO 0-2 3 8 DevOps, CI/CD 0-2 3 9 Cloud Knowhow 0-2 3 10 Analytical and problem solving skills. 2-4 3 11 AI & Deep learning 0-2 3 Required Behavioral Competencies Sl.No. Competency Expected proficiency (on a scale of 5) 1 Communication and Moderation 5 2 Business and Results Orientation 4 3 Innovative Problem Solving 4 4 Character/Values 4 5 Leadership 3 6 Interpersonal Skills 3 About Engineering IT @ MBRDI Engineering IT is one of the IT departments within MBRDI. The focus of this department is to build innovative software products that would help assist the Engineering and Manufacturing of Mercedes-Benz Cars and Vans. About Mercedes-Benz Research and Development India Headquartered in Bengaluru was founded in 1996 as a captive unit to support Daimler’s research, IT and product development activities. We focus on topics ranging from computer-aided design and simulations (CAD, CAE) for powertrain, chassis and exteriors to embedded systems, telematics and developing various IT applications and tools. The satellite office in Pune specializes in interior component designs and IT engineering. It is now one of the largest global R&D centers outside Germany, employing more than 3000 + skilled engineers. It aims to collaborate closely with suppliers in India for its activities in product development and IT services. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "CAD customization using. NET (C#), VB at Mercedes-Benz Research and Development India. Skills: CAD Customization, NET, NXOpen API, Automation. Develop desktop applications. Develop Macros", "createdAt" : "2026-06-14T18:52:11.122", "lastUpdated" : "2026-06-16T00:30:44.748", "ingestTimestamp" : "2026-06-14T18:52:11.122", "mongoId" : "6a191e7758b93c861e39f7ab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "NXOpen/UFUNC API", "C# (.NET)", "VB", "C/C++", "Scripting", "XML", "Visual Studio", "UIlock Styler", "WPF", "Siemens NX", "Modelling", "Drafting", "Coding standards", "JIRA", "Confluence", "KANBO", "DevOps", "CI/CD", "Cloud Knowhow", "Analytical", "Problem-solving", "Leadership", "CAD Customization", "NET", "NXOpen API", "Automation", "Requirement gathering", "Project coordination", "Technical decisions", "Report writing", "SDLC", "Agile methodologies", "Architectural patterns", "Quick PoC development", "Agile (Scrum)", "Project plans", "Schedules", "Automotive design", "NX Modelling", "NX Drafting", "Service oriented architecture", "Micro services", "Enterprise architecture", "Visual Studio 2019", "Visual Studio 2022" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7f7274d8ee00a0955693", "title" : "Automation and Equipment Engineering Intern", "company" : "Veracyte", "industry" : "Biotech", "salary" : { "min" : 48000.0, "max" : 68000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Automation and Equipment Engineering Intern in San Diego, biotech industry, adjusted for company size and seniority." }, "location" : "San Diego, California, United States", "locations" : [ "San Diego", "California", "United States" ], "timestamp" : "2026-06-15T09:15:22.701", "fingerprint" : "3e6cbd3c83942fefb0b74c3e6bf52cef862d14ebfc0f0fba82522e26562d92eb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://veracyte.com/job-detail?gh_jid=5162435007", "externalId" : "5162435007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7174202,-117.1627720" } ], "locationText" : "San Diego, California, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python", "professionalSkills" : [ "Process improvement", "Inventory management" ], "hardSkillsList" : [ "Equipment calibration", "Equipment verification", "Equipment validation", "Equipment reliability", "Equipment repair", "Liquid handling methods" ], "hardSkills" : [ { "name" : "Equipment calibration", "level" : "intermediate" }, { "name" : "Equipment verification", "level" : "intermediate" }, { "name" : "Equipment validation", "level" : "intermediate" }, { "name" : "Equipment reliability", "level" : "intermediate" }, { "name" : "Equipment repair", "level" : "intermediate" }, { "name" : "Liquid handling methods", "level" : "intermediate" } ], "majorSkills" : "Automation Engineering, Equipment Engineering, Laboratory Automation", "majorSkillsList" : [ "Automation Engineering", "Equipment Engineering", "Laboratory Automation" ], "coreResponsibilities" : "Support process improvement projects, Support automation projects, Explore development of lab automation scripts, Explore integration with multiple devices, Assist with inventory management, Maintain a safe lab environment, Adhere to safety protocols, Adhere to quality protocols, Present project progress, Present data, Present technical insights", "teamCollaboration" : "Working with software systems; Working with physical systems; Contributing as part of a team", "domainKnowledge" : "Cancer diagnostics; Laboratory Automation", "domainList" : [ "cancer-diagnostics", "laboratory-automation" ], "domainSpecificKnowledge" : [ "Cancer diagnostics", "Laboratory Automation" ], "documentationSkills" : "Document work clearly", "continuousLearning" : "Learn and grow within a purpose driven environment", "innovationCreativity" : "Pursue bold ideas", "problemSolvingSkills" : "Solving practical problems", "specialRequirements" : "Part time, 20-30 hours a week, Approximately 12 weeks, June-September", "qualificationsBasic" : "Bachelor's degree in engineering, Bachelor's degree in computer science, Bachelor's degree in biology, Minimum cumulative GPA of 3.0, Working knowledge of Python, Attention to detail, Organizational skills, Ability to follow written procedures, Document work clearly", "qualificationsPreferred" : "Previous lab experience in biotech, Working in an academic lab is a plus, Communication skills, Willingness to collaborate across teams", "workSiteFlexibility" : "Onsite", "rawDescription" : "At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. Our Values: We Seek A Better Way: We pursue bold ideas, embrace complexity, and keep pushing forward. We Make It Happen: We act with urgency, deliver with excellence, and always find a way. We Are Stronger Together: We engage with empathy, align around what's best for Veracyte, and celebrate as one team. We Care Deeply: We show up with integrity, kindness, and respect for one another. The Position: Veracyte is seeking an exceptional candidate for a summer internship in the Automation and Equipment Engineering teams. The Automation team is responsible for designing, programming, implementing, and maintaining complex automated liquid handling methods to support cancer patient diagnostics. Additionally, the Equipment Engineering team is responsible for the calibration, verification, validation, reliability, and repair of common and complex equipment within Veracyte’s laboratories. This role is a fantastic opportunity to gain hands-on, applied skills in the cutting-edge field of Laboratory Automation and Equipment Engineering, gaining experience with industry-leading equipment and tools. The role will be part time, 20-30 hours a week, for approximately 12 weeks from June-September at our labs in San Diego, California. What You’ll do: Support process improvement and automation projects within the laboratory Explore development of lab automation scripts and integration with multiple devices using python Assist with inventory management of equipment spare parts Maintain a safe and organized lab environment, strictly adhering to all safety and quality protocols Present project progress, data, and technical insights to the team and department Who You Are: You are curious, organized, and motivated to learn by doing. You enjoy solving practical problems, working with both software and physical systems, and contributing as part of a team. Candidates must be able to work from 9:00 a. m. - 5:30 p.m., Monday through Friday in our San Diego, CA laboratory facilities. Qualifications Currently pursuing a Bachelor's degree in engineering, computer science, biology, or a related technical field minimum cumulative GPA of 3.0 Working knowledge of Python Strong attention to detail and organizational skills Ability to follow written procedures and document work clearly Comfortable working in a laboratory or technical environment Previous lab experience in biotech or working in an academic lab is a plus Strong communication skills and willingness to collaborate across teams #LI-Onsite The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Pay range $23—$27 USD What We Can Offer You Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions. We are thrilled to be recognized as a 2024 Certified™ Great Place to Work® in both the US and Israel - a testament to our dynamic, inclusive, and inspiring workplace where passion meets purpose. About Veracyte Veracyte (Nasdaq: VCYT) is a global diagnostics company whose vision is to transform cancer care for patients all over the world. We empower clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer. Our Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. For more information, please visit www.veracyte.com or follow us on LinkedIn or X (Twitter). Veracyte, Inc. is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status. Veracyte participates in E-Verify in the United States. View our CCPA Disclosure Notice If you receive any suspicious alerts or communications through LinkedIn or other online job sites for any position at Veracyte, please exercise caution and promptly report any concerns to careers@veracyte.com", "summaryDescription" : "Automation and Equipment Engineering Intern at Veracyte. Skills: Automation Engineering, Equipment Engineering, Laboratory Automation. Support process improvement projects. Support automation projects", "postedDate" : "2026-06-14T02:14:00.757", "createdAt" : "2026-06-14T02:14:00.757", "lastUpdated" : "2026-06-15T09:15:22.701", "ingestTimestamp" : "2026-06-14T02:14:00.757", "mongoId" : "6a2c7f7274d8ee00a0955693", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 68000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Equipment calibration", "Equipment verification", "Equipment validation", "Equipment reliability", "Equipment repair", "Liquid handling methods", "Automation Engineering", "Equipment Engineering", "Laboratory Automation", "Process improvement", "Inventory management", "Cancer diagnostics" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305571f292fd229cf1f9c0", "title" : "Technical Officer (Chemical and Biomolecular Engineering)", "company" : "The University of Sydney", "industry" : "Education", "salary" : { "min" : 107.0, "max" : 107.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Australia", "locations" : [ "Australia" ], "timestamp" : "2026-06-16T12:22:32.535", "fingerprint" : "853442d3a4bb8ae77d6b3dbddb4ec54fd01cf5bdeeb5979d531865f467278326", "source" : "workday", "language" : "en", "applyUrl" : "https://usyd.wd105.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Darlington-Campus/Technical-Officer--Chemical-and-Biomolecular-Engineering-_0152371-2", "externalId" : "0152371", "industryFunction" : { }, "locationPoint" : "-25.2744,133.7751", "structuredLocations" : [ { "country" : "Australia", "continent" : "oc", "workMode" : "remote" } ], "locationText" : "Australia", "employmentType" : "FULL_TIME", "technicalSkills" : "Chemical engineering, Biomolecular engineering", "professionalSkills" : [ "Technical services", "Research support", "Teaching support", "Laboratory equipment maintenance", "Inventory management", "Safety documentation development", "WHS compliance", "Process control", "Industrial chemical engineering", "Electronics", "Additive manufacturing", "Machining", "CAD" ], "hardSkillsList" : [ "Equipment operation", "Procedure preparation", "Safety compliance" ], "softSkillsList" : [ "Problem solving", "Relationship building" ], "hardSkills" : [ { "name" : "Equipment operation", "level" : "intermediate" }, { "name" : "Procedure preparation", "level" : "intermediate" }, { "name" : "Safety compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem solving" }, { "name" : "Relationship building" } ], "majorSkills" : "Technical support, Laboratory operations, WHS compliance", "majorSkillsList" : [ "Technical support", "Laboratory operations", "WHS compliance" ], "coreResponsibilities" : "Deliver technical support, Deliver technical services, Tailor services to user requirements, Escalate service gaps, Escalate feedback, Support effective resource utilisation, Meet education requirements, Meet research requirements, Adhere to WHS procedures, Maintain professionalism, Support teaching operations, Deliver training to facility users, Induct facility users, Perform general laboratory procedures, Contribute to team culture, Collaborate with technical support teams, Support central project operations, Set up laboratory equipment, Operate laboratory equipment, Prepare operating procedures, Assist with process implementation, Assist with system implementation, Assist with new ways of working, Improve efficiency, Improve service delivery, Provide hands-on support for research, Provide hands-on support for teaching, Provide hands-on support for demonstrations, Maintain laboratory equipment, Manage inventories, Provide guidance to staff, Provide guidance to students, Provide training for staff, Provide training for students, Contribute to safety documentation, Ensure compliance with WHS standards, Resolve issues impacting research operations", "teamCollaboration" : "Work independently; Work collaboratively within team; Collaborate with other technical teams; Collaborate with University departments", "domainKnowledge" : "Chemical engineering; Biomolecular engineering; Hazardous substances; Compressed gases; Cryogens; Biological substances", "domainList" : [ "chemical-engineering", "biomolecular-engineering", "hazardous-substances", "compressed-gases", "cryogens", "biological-substances" ], "domainSpecificKnowledge" : [ "Chemical engineering", "Biomolecular engineering", "Hazardous substances", "Compressed gases", "Cryogens", "Biological substances" ], "communicationSkills" : "Customer-facing communications", "documentationSkills" : "Safety documentation", "innovationCreativity" : "Enable innovative teaching; Enable innovative research", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Full strength and range of movement, Flexible joints, Lift, carry, push, pull, Manipulate items, Tolerate repetitive physical tasks", "outcomesObjectives" : "Strengthen education support outcomes; Enhance research support outcomes; Improve efficiency; Improve service delivery", "qualificationsBasic" : "Bachelor's degree in chemical engineering or related field, Relevant training and experience, Experience providing technical support, Experience providing training, Experience providing routine maintenance on chemical engineering equipment, Experience providing routine maintenance on laboratory equipment, Experience engaging with external parties, Experience coordinating repair of equipment, Experience coordinating procurement of equipment, Experience in safe handling of biological substances, Experience in safe handling of hazardous substances, Experience in safe storage of biological substances, Experience in safe storage of hazardous substances, Experience in safe disposal of biological substances, Experience in safe disposal of hazardous substances, Experience adhering to WHS compliance, Experience improving WHS compliance, Full strength and range of movement in both arms, Flexible joints to lift, carry, push, pull, Ability to manipulate items, Tolerate repetitive physical tasks, Unrestricted work rights in Australia", "qualificationsPreferred" : "Experience or qualification in process control, Experience or qualification in industrial chemical engineering, Experience or qualification in WHS compliance, Experience or qualification in electronics, Experience or qualification in additive manufacturing, Experience or qualification in machining, Experience or qualification in CAD", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "* **Full time, fixed term position until 30th October 2026. Located at the Electrical Engineering Building (J03) on the Darlington Campus** * **Deliver hands-on support for research operations, teaching activities, and outreach demonstrations** * **Base Salary HEO6 $107,12 - $115,686 + 17% superannuation** **About the opportunity** The University of Sydney is welcoming applications for motivated and experienced **Technical Officer (****Chemical and Biomolecular Engineering)** to join the Central Operations Services (COS) Engineering Delivery Team and provide high-quality technical services within the designated area of responsibility to strengthen and enhance education and research support outcomes. The **Technical Officer** (**Chemical and Biomolecular Engineering)** will work independently and collaboratively within the team to contribute high quality technical services that support teaching and research activities within the designated areas of responsibility. This role involves delivering hands on assistance for practical classes, demonstrations, and research operations, maintaining and operating laboratory equipment and managing inventories. The **Technical Officer** will also provide guidance and training for staff and students, contribute to the development of safety documentation, and ensure compliance with Work Health and Safety standards in alignment with University policies and legislation. The position requires strong problem solving and communication skills to manage the delivery of technical support and resolve issues impacting the research operations of academic staff and students. You will be responsible for setting up and operating complex or bespoke laboratory equipment, preparing operating procedures, and assisting with the implementation of new processes, systems, and ways of working to improve efficiency and service delivery. Collaboration with other technical teams and University departments will be essential to support resource sharing and consistent practices. This is an opportunity to play a key role in enabling innovative teaching and research in a safe and well managed environment. Your key responsibilities will be to: * deliver technical support and services in accordance with the role and tailor services to user/client requirements within remit and escalate service gaps/feedback as appropriate * support the effective utilisation of resources within the designated area of responsibility, ensuring that the work area’s education/research requirements are effectively met * lead by example by demonstrating a strong adherence to established WHS and compliance procedures, and maintain professionalism in all customer-facing activities and communications * support teaching operations and deliver training to facility users in the safe operation of equipment, building inductions, and general laboratory procedures * contribute to a positive, professional and customer focused team culture * collaborate with other technical support teams across the university and support the operations of projects managed centrally as required. **About you** * bachelor's degree in chemical engineering or in a related field or relevant training and experience * experience in providing technical support, training, and routine maintenance on common chemical engineering or laboratory equipment in a research or teaching laboratory environment * experience engaging with external parties or contractors to coordinate repair or procurement of equipment to maintain research continuity * experience in the safe handling/storage/disposal of biological and hazardous substances (e.g., chemicals, waste, compressed gases and cryogens) and relevant experience in adhering to and improving WHS compliance in modern laboratory environments * strong communication and relationship building skills, with an ability to establish and maintain working relationships with customers * full strength and range of movement in both arms and flexible joints to lift, carry, push, pull a variety of loads; ability to manipulate items and tolerate repetitive physical tasks * possess experience or qualification in process control, industrial chemical engineering and WHS compliance or other relevant practical engineering skills (electronics, additive manufacturing, machining, CAD) (desirable). **Sponsorship / work rights for** **Australia** You must have unrestricted work rights in Australia for the duration of this employment to be eligible to apply. Visa sponsorship is not available for this appointment. **Pre-employment checks** Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University’s obligations under the National Higher Education Code to [Prevent and Eliminate Gender-Based Violence](https://www.sydney.edu.au/about-us/vision-and-values/safety-and-respect/sexual-harm-and-gender-based-violence.html) you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. **EEO statement** At the University of Sydney, our shared values are [trust, accountability and excellence](https://www.sydney.edu.au/about-us/vision-and-values.html) and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to [diversity and inclusion](https://www.sydney.edu.au/about-us/vision-and-values/diversity.html), evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of [Aboriginal and Torres Strait Islander People](https://www.sydney.edu.au/about-us/careers-at-sydney/indigenous-careers.html), [women](https://www.sydney.edu.au/about-us/vision-and-values/diversity/gender-equity.html), [people living with a disability](https://www.sydney.edu.au/about-us/careers-at-sydney/careers-for-people-with-disability.html), [people from culturally and linguistically diverse backgrounds](https://www.sydney.edu.au/about-us/vision-and-values/diversity/cultural-diversity.html), and those who identify as [LGBTQIA+](https://www.sydney.edu.au/about-us/vision-and-values/diversity/lgbtiq-community.html). We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. [Find out more about our work on diversity and inclusion](http://sydney.edu.au/about-us/vision-and-values/diversity.html). **How to apply** Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the **Apply** button at the top of the page. For employees of the University or contingent workers, please login into your [**Workday**](https://sydney.edu.au/workday) account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Kevin Lim, Recruitment Operations by email to [kevin.lim@sydney.edu.au](mailto:kevin.lim@sydney.edu.au). **©** The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the [Position Description](https://unisyd.sharepoint.com/:b:/s/WorkdayIntegration/IQAMFtUXkONXRrlfePHNQ8AqAR5Z9jDUv3SdCaqyf7uyYQs?download=1) for this role. **Applications Close** Monday 29 June 2026 11:59 PM", "summaryDescription" : "Technical Officer (Chemical and Biomolecular Engineering) at The University of Sydney. Skills: Technical support, Laboratory operations, WHS compliance. Deliver technical support. 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Intersect develops, constructs, and operates the most ambitious power and data center infrastructure in the country by co-locating industrial demand with dedicated gas and renewable power generation. Intersect was acquired by Google in March 2026 and operates as an independent subsidiary. We are developing and constructing multiple gigawatts of energy and data center projects in the U.S., enabling more data center and generation capacity to come online faster. We’re on an aggressive growth trajectory and looking for people hungry to tackle the largest energy challenges on the planet. Location & Team Gatherings Intersect has been a fully flexible workplace since its founding in 2016. We’ve been very intentional about the way we do things. We are not work-from-home, hybrid, or in-office - we are any and all of those options! Deepening social connections and offering shared experiences is a cornerstone of the way we work. We connect as a team at our Team Week experiences four times a year and at our recently established Hub locations - SF Bay Area, NYC Metro Area, NY; Denver, CO; Austin, TX; Calgary, AB; and Toronto, ON. We are currently looking for candidates located within 60 miles of any of the listed hubs to foster more in-person connections while maintaining our flexible remote culture. ## Additional Information Equity: Beyond your salary, you’ll receive an Equity Grant, giving you a meaningful stake in our parent company. Health & wellness: 100% premium coverage for you and your dependents on medical, dental, and vision Time to recharge: Unlimited PTO, plus two company-wide breaks (Fourth of July & end of year) Family support: Up to 12 weeks of fully paid parental leave, plus 6 additional weeks for birth parents; access to family planning and family care support through Carrot and Maven Mental health: Free access to Spring Health, including 5 free therapy and psychiatry sessions, plus a Headspace account for mindfulness and meditation through our physical health vendor, Wellhub+ Perks & extras: $150 monthly food stipend, $150 monthly reimbursement for cell phone and internet, pet insurance allowance, full home office setup, free access to UrbanSitter with $625 in quarterly company-paid credits, ActiveHero, and One Medical Intersect maintains a work environment free from discrimination, one where all employees are treated with dignity and respect. All employees share in the responsibility for fulfilling Intersect's commitment to equal employment opportunity. Intersect does not discriminate against any employee or applicant on the basis of age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by and consistent with applicable local laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline.", "summaryDescription" : "Operational and Technical Accounting Team Member at Intersect", "postedDate" : "2026-06-15T23:03:53.343", "createdAt" : "2026-06-15T23:03:53.343", "lastUpdated" : "2026-06-16T15:01:30.609", "ingestTimestamp" : "2026-06-16T03:26:18.305", "mongoId" : "6a308fe5f292fd229c0ae0a8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Financial instruments", "Regulatory frameworks", "Risk methodologies", "Quantitative skills", "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "skillCount" : 14, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e426f8b1b0376634c663", "title" : "Senior Data Scientist, Model Customization", "company" : "AWS EMEA SARL (UK Branch)", "industry" : "Data Science, Science, Cloud Computing", "salary" : { "min" : 105000.0, "max" : 155000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data Scientist in London, UK, adjusted for technology industry and company size." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T04:32:32.761", "fingerprint" : "0cda584fa3033d90a0b523a6bed8c9efbb83cd75f52ed046ddf9ed779b69e554", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3076888/apply", "externalId" : "9eabe72c-725c-499d-96df-6fa18a870c38", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Generative AI, Machine Learning, Python, AWS, Amazon Bedrock, Amazon SageMaker, Large Language Model, LangChain, LlamaIndex", "professionalSkills" : [ "Model Customization", "Generative AI solutions", "Client engagement" ], "hardSkillsList" : [ "Algorithms", "Data structures", "Numerical optimization", "Data mining", "Distributed computing", "Deep learning", "Machine learning", "Model evaluation", "Prompt engineering" ], "hardSkills" : [ { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Numerical optimization", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Distributed computing", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Model evaluation", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Machine Learning, Model Customization", "majorSkillsList" : [ "Generative AI", "Machine Learning", "Model Customization" ], "coreResponsibilities" : "Collaborate with AI/ML scientists and architects to research,, Interact with customers directly to understand their business, Aid customers in implementation of generative AI solutions, Brief customers on adoption patterns and paths to, Create and deliver best practice recommendations, Create tutorials, Create blog posts, Create sample code, Create presentations adapted to technical, business, and executive, Provide customer and market feedback to product and, Design and run experiments, Research new algorithms, Find new ways of optimizing risk, profitability, and, Design generative AI solutions, Evangelize generative AI solutions, Implement state-of-the-art solutions", "teamCollaboration" : "AI/ML scientists; Architects; Product teams; Engineering teams", "domainKnowledge" : "Generative AI; Large Language Models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models" ], "toolProficiency" : [ "Python", "Amazon Bedrock", "Amazon SageMaker", "LangChain", "LlamaIndex" ], "communicationSkills" : "Customer presentations; Executive presentations", "documentationSkills" : "Best practice recommendations; Tutorials; Blog posts; Sample code", "innovationCreativity" : "Innovate in a fast-paced organization; Game-changing projects; New ways of optimizing risk, profitability, and customer experience; State-of-the-art solutions for never-before-solved problems", "problemSolvingSkills" : "Solve real world problems; Navigate technical or business challenges; Optimize risk, profitability, and customer experience", "qualificationsBasic" : "Bachelor's degree and 8 years of experience or Master's degree and 4 years of experience, 2+ years of hands-on experience with generative AI technology, 5+ years of experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning, 5+ years of hands on experience with Python to build, train, and evaluate models, 4+ years of technical client engagement experience", "qualificationsPreferred" : "Masters or PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field, Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker, Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches, Experience with design, development, and optimization of high-quality prompts and templates that guide the behavior and responses of LLMs, Experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/or similar tools, Hands on experience building cloud applications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As a Data Scientist, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production • Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder • Provide customer and market feedback to product and engineering teams to help define product direction About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - Bachelor's degree and 8 years of experience or Master's degree and 4 years of experience - 2+ years of hands-on experience with generative AI technology - 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning - 5+ years of hands on experience with Python to build, train, and evaluate models - 4+ years of technical client engagement experience Preferred Qualifications: - Masters or PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field - Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker - Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches - Experience with design, development, and optimization of high-quality prompts and templates that guide the behavior and responses of LLMs - Experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/ or similar tools - Hands on experience building cloud applications Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Senior Data Scientist, Model Customization at AWS EMEA SARL (UK Branch). Skills: Generative AI, Machine Learning, Model Customization. Collaborate with AI/ML scientists and architects to research,. Interact with customers directly to understand their business", "postedDate" : "2026-06-13T15:23:26.214", "createdAt" : "2026-06-13T15:23:26.214", "lastUpdated" : "2026-06-15T04:32:32.761", "ingestTimestamp" : "2026-06-13T15:23:26.214", "mongoId" : "68c2e426f8b1b0376634c663", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3076888/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Algorithms", "Data structures", "Numerical optimization", "Data mining", "Distributed computing", "Deep learning", "Machine learning", "Model evaluation", "Prompt engineering", "Generative AI", "Machine Learning", "Model Customization", "Generative AI solutions", "Client engagement", "Large Language Models", "Python", "Amazon Bedrock", "Amazon SageMaker", "LangChain", "LlamaIndex" ], "skillCount" : 20, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "693c2b9170f0b99d5844011f", "title" : "Applied Scientist, Model Customization", "company" : "Amazon Web Services, Inc.", "industry" : "Machine Learning Science, Applied Science, Cloud Computing", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T00:01:28.425", "fingerprint" : "e349d8d3df0746bdb9168b51de01e7de4be8baadd861ee5e5dac9521a710ccea", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3137793/apply", "externalId" : "88d1fd22-664c-438b-ab7a-abaa7e8440a1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, C++, Python, Machine Learning, Large Language Model", "professionalSkills" : [ "Model Customization", "Generative AI", "Optimization" ], "hardSkillsList" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Distributed computing", "High-performance computing", "Model selection", "Model training", "Model tuning", "Model distillation", "Hardware optimization" ], "hardSkills" : [ { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Parsing", "level" : "intermediate" }, { "name" : "Numerical optimization", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Distributed computing", "level" : "intermediate" }, { "name" : "High-performance computing", "level" : "intermediate" }, { "name" : "Model selection", "level" : "intermediate" }, { "name" : "Model training", "level" : "intermediate" }, { "name" : "Model tuning", "level" : "intermediate" }, { "name" : "Model distillation", "level" : "intermediate" }, { "name" : "Hardware optimization", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Model Customization, Machine Learning", "majorSkillsList" : [ "Generative AI", "Model Customization", "Machine Learning" ], "coreResponsibilities" : "Collaborate with AI/ML scientists and architects, Research generative AI solutions, Design generative AI solutions, Develop generative AI solutions, Evaluate generative AI solutions, Interact with customers directly, Understand customer business problems, Aid customers in implementation of generative AI solutions, Brief customers on adoption patterns, Guide customers on paths to production, Help customers optimize their solutions, Provide customer and market feedback", "teamCollaboration" : "AI/ML scientists; Architects; Customers; Product teams; Engineering teams", "domainKnowledge" : "Generative AI; Machine Learning; Model Optimization", "domainList" : [ "generative-ai", "machine-learning", "model-optimization" ], "domainSpecificKnowledge" : [ "Generative AI", "Machine Learning", "Model Optimization" ], "communicationSkills" : "Customer presentations", "innovationCreativity" : "Innovate; Research new algorithms; Find new ways of optimizing", "problemSolvingSkills" : "Solve real world problems; Optimize risk; Optimize profitability; Optimize customer experience", "outcomesObjectives" : "Realize transformational business opportunities; Create greatest value for businesses; Launch solutions at scale", "qualificationsBasic" : "3+ years of building models, Master's degree and 4+ years of CS, CE, ML or related field experience, Experience in patents or publications, Experience programming in Java, C++, Python or related language, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing", "qualificationsPreferred" : "Experience using Unix/Linux, Experience in professional software development, Experience with Machine Learning and Large Language Model fundamentals, Experience in architecture, training/inference lifecycles, Experience in optimization of model execution, Experience in development in the last 3 years", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production • Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization • Provide customer and market feedback to product and engineering teams to help define product direction Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in development in the last 3 years Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Model Customization at Amazon Web Services, Inc.. Skills: Generative AI, Model Customization, Machine Learning. Collaborate with AI/ML scientists and architects. Research generative AI solutions", "postedDate" : "2026-06-13T00:47:18.294", "createdAt" : "2026-06-13T00:47:18.294", "lastUpdated" : "2026-06-15T00:01:28.425", "ingestTimestamp" : "2026-06-13T00:47:18.294", "mongoId" : "693c2b9170f0b99d5844011f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3137793/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Distributed computing", "High-performance computing", "Model selection", "Model training", "Model tuning", "Model distillation", "Hardware optimization", "Generative AI", "Model Customization", "Machine Learning", "Optimization", "Model Optimization" ], "skillCount" : 17, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68c2e42bf8b1b0376634c6ce", "title" : "Applied Scientist, Model Customization", "company" : "Amazon Web Services, Inc.", "industry" : "Machine Learning Science, Applied Science, Cloud Computing", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T02:38:40.404", "fingerprint" : "ca81a5998ae6a9b90f2cac032e7510efe4136f586efca3291c092073c266c5ec", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3076322/apply", "externalId" : "6122b08a-35f7-4356-a909-0178ed5d2cff", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "technicalSkills" : "Python, Generative AI, Machine Learning, AI, LLM, Foundational Model, AWS, Amazon Bedrock, Amazon SageMaker", "professionalSkills" : [ "Model selection", "Model training", "Model tuning", "Right-sizing", "Distillation", "Hardware optimization", "Model optimization", "Inference optimization" ], "hardSkillsList" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Parallel computing", "Distributed computing", "High-performance computing", "Reinforcement learning", "Agentic workflow", "Agent customization" ], "hardSkills" : [ { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Parsing", "level" : "intermediate" }, { "name" : "Numerical optimization", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Parallel computing", "level" : "intermediate" }, { "name" : "Distributed computing", "level" : "intermediate" }, { "name" : "High-performance computing", "level" : "intermediate" }, { "name" : "Reinforcement learning", "level" : "intermediate" }, { "name" : "Agentic workflow", "level" : "intermediate" }, { "name" : "Agent customization", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Machine Learning, Model Customization, LLM", "majorSkillsList" : [ "Generative AI", "Machine Learning", "Model Customization", "LLM" ], "coreResponsibilities" : "Research generative AI solutions, Design generative AI solutions, Develop generative AI solutions, Evaluate generative AI solutions, Interact with customers, Understand business problems, Aid customers in implementation, Brief customers, Guide customers on adoption patterns, Guide customers on paths to production, Optimize customer solutions, Select models, Train models, Tune models, Right-size models, Distill models, Optimize hardware, Provide customer feedback, Provide market feedback, Design experiments, Run experiments, Research new algorithms, Find new ways of optimizing risk, Find new ways of optimizing profitability, Find new ways of optimizing customer experience, Design state-of-the-art solutions, Evangelize state-of-the-art solutions, Implement state-of-the-art solutions", "teamCollaboration" : "AI/ML scientists; Architects; Customers", "domainKnowledge" : "Generative AI; Large Language Models; Foundational Models; Model optimization; Agentic workflow", "domainList" : [ "generative-ai", "large-language-models", "foundational-models", "model-optimization", "agentic-workflow" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "Foundational Models", "Model optimization", "Agentic workflow" ], "toolProficiency" : [ "trl", "verl", "LangChain", "LlamaIndex" ], "innovationCreativity" : "Innovate in a fast-paced organization; Game-changing projects; Game-changing technologies", "problemSolvingSkills" : "Solve real world problems; Navigate technical challenges; Navigate business challenges; Optimize risk; Optimize profitability; Optimize customer experience; Solve never-before-solved problems", "qualificationsBasic" : "Master’s degree plus 5 years of relevant work experience, 5+ years of hands on experience with Python, 2+ years of experience in algorithms and data structures, 2+ years of experience in parsing, 2+ years of experience in numerical optimization, 2+ years of experience in data mining, 2+ years of experience in parallel and distributed computing, 2+ years of experience in high-performance computing, Experience with design, development, and optimization of generative AI solutions, Experience with generative AI algorithms, Experience with generative AI technologies, Scientific publication track record", "qualificationsPreferred" : "PhD degree in computer science, PhD degree in engineering, PhD degree in mathematics, PhD degree in operations research, PhD degree in a highly quantitative field, 2+ years LLM post-training experience, 2+ years LLM continual pre-training experience, 2+ years LLM fine-tuning experience, 2+ years LLM reinforcement learning experience, 2+ years Foundational Model post-training experience, 2+ years Foundational Model continual pre-training experience, 2+ years Foundational Model fine-tuning experience, 2+ years Foundational Model reinforcement learning experience, Experience building LLM-powered agentic workflow, Experience building LLM-powered orchestration, Experience building LLM agent customization, Track record of building ML models at scale, Track record of deploying ML models at scale, Experience with quantization, Experience with distillation, Experience with compression, Experience with inference optimization, Experience with trl, Experience with verl, Experience with LangChain, Experience with LlamaIndex, Hands-on experience building generative AI applications on AWS, Hands-on experience using Amazon Bedrock, Hands-on experience using Amazon SageMaker", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an Applied Scientist, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production • Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization • Provide customer and market feedback to product and engineering teams to help define product direction Basic Qualifications: - PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field, or Master’s degree plus 5 years of relevant work experience - 5+ years of hands on experience with Python to build, train, and evaluate models - 2+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies - Scientific publication track record at top-tier AI/ML/NLP conferences or journals Preferred Qualifications: - • 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques. - • Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization - • Track record of building and deploying ML models at scale - • Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.) - • Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/ or similar tools - • Hands-on experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker - • Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Model Customization at Amazon Web Services, Inc.. Skills: Generative AI, Machine Learning, Model Customization, LLM. Research generative AI solutions. Design generative AI solutions", "postedDate" : "2026-06-13T03:19:04.757", "createdAt" : "2026-06-13T03:19:04.757", "lastUpdated" : "2026-06-15T02:38:40.404", "ingestTimestamp" : "2026-06-13T03:19:04.757", "mongoId" : "68c2e42bf8b1b0376634c6ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3076322/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Parallel computing", "Distributed computing", "High-performance computing", "Reinforcement learning", "Agentic workflow", "Agent customization", "Generative AI", "Machine Learning", "Model Customization", "LLM", "Model selection", "Model training", "Model tuning", "Right-sizing", "Distillation", "Hardware optimization", "Model optimization", "Inference optimization", "Large Language Models", "Foundational Models", "trl", "verl", "LangChain", "LlamaIndex" ], "skillCount" : 29, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a30564bf292fd229cf26f23", "title" : "Manager, Test and Technical Engineering", "company" : "Amazon Data Services, Inc.", "industry" : "Project/Program/Product Management--Non-Tech, Tech Ops Engineering, Cloud Computing", "salary" : { "min" : 153200.0, "max" : 254500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Austin, Texas, USA", "locations" : [ "Austin, Texas, USA" ], "timestamp" : "2026-06-16T07:22:57.615", "fingerprint" : "4a71963612b7261de39f30c95e11df808e7e905433db40caa507fab8041a4593", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448533/apply", "externalId" : "75d606e0-91b6-4e21-8556-6defb00da0ad", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Python, Java, C++, Cloud computing, Distributed systems, Machine learning, Data processing", "professionalSkills" : [ "System design", "Project management", "Team leadership" ], "hardSkillsList" : [ "Software development", "People management", "Cloud platforms", "Distributed systems" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "People management", "level" : "intermediate" }, { "name" : "Cloud platforms", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" } ], "majorSkills" : "Software development, People management, Cloud computing", "majorSkillsList" : [ "Software development", "People management", "Cloud computing" ], "coreResponsibilities" : "Manage a team of software engineers, Design and develop scalable software solutions, Oversee the entire software development lifecycle, Collaborate with product management, Drive technical strategy, Mentor and develop team members, Ensure code quality and best practices, Troubleshoot and resolve complex technical issues", "teamCollaboration" : "Cross-functional teams; Product management", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Distributed systems; Cloud platforms; Machine learning; Large-scale data processing", "domainList" : [ "distributed-systems", "cloud-platforms", "machine-learning", "large-scale-data-processing" ], "domainSpecificKnowledge" : [ "Distributed systems", "Cloud platforms", "Machine learning", "Large-scale data processing" ], "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "qualificationsBasic" : "Bachelor's degree or equivalent practical experience, 5 years of experience in software development, 2 years of experience in people management, Experience with cloud platforms, Experience with distributed systems", "qualificationsPreferred" : "Master's degree or PhD, Experience with machine learning, Experience with large-scale data processing", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Manufacturing & Repair operations is focused on automated assembly solutions where innovative solutions are needed to accelerate overall manufacturing time for AI/ML platforms. We work backwards from customers to increase critical capacity for AWS services by improving yield and reliability while reducing cycle time. This new highly cross-functional initiative brings together critical expertise from a wide-range of Amazon teams dedicated to meeting and exceeding customer expectations through innovative validation processes and Amazon operational excellence. We are seeking a Manager, Test and Technical Engineering to lead a global team of critical to quality engineering teams across Manufacturing Test Engineers, System Engineers, Automation and Process Engineers. This leader will work in conjunction with internal partner Hardware Engineering and NPI Test teams to translate testing methodology and scripts into our operational manufacturing environment. This is a rare opportunity to shape manufacturing test strategy from the ground up, directly impacting the speed and quality at which AI infrastructure reaches customers. We're looking for an engineering leader who thrives at the intersection of hardware, software, and manufacturing and re-manufacturing operations. You'll own the end-to-end manufacturing network and test ecosystem — from early prototype builds through high-volume production and sustaining — across server (L10) and rack-level (L11/L12) integration. This role requires someone who doesn't just find problems but owns the fix, builds self-remedy capabilities, and relentlessly drives uptime and automation. AWS Manufacturing & Repair is a part of the broader AWS Infrastructure Services team which owns the design, planning, delivery, and operation of all AWS global infrastructure. We are the teams who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Come join our team and be a part of history as we deliver results for the largest cloud services company on Earth! This role directly supports physical manufacturing environments across multiple locations with travel expected 25% of the time. Key job responsibilities Lead and develop a team of engineers to support the reliability of the products being manufactured where the automation and build/test is critical to safety for our Builders and critical to quality for customers. Own and Support the Test Ecosystem: Architect, develop, and maintain the manufacturing test infrastructure for AI server hardware products, spanning board-level validation through full rack integration and networking. Build and Scale Test Software: Design and maintain production test software and automation frameworks using Python, Bash, and related tooling, including test sequencing, equipment control, data collection, and reporting pipelines. Drive Automation & Self-Remedy: Develop automated test processes and self-healing capabilities that reduce manual intervention, increase throughput, and improve first-pass yield across the production line. Define Test Strategy: Establish modular test strategies, define pass/fail limits, and implement statistical process controls (GR&R, Cp/Cpk, correlation analysis) to ensure product quality at scale. Analyze Production Data: Compile and analyze test data using both automated reporting systems and exploratory analysis techniques to identify trends, root-cause failures, and drive corrective actions Own Uptime & Yield: Monitor functional test yield across shifts, lead triage efforts for test-station failures, and drive weekly production quality reviews with cross-functional partners. Collaborate Across Teams: Work closely with hardware design, firmware, process engineering, quality, and operations teams to ensure test requirements are aligned and products are designed for efficient, high-quality manufacturing. Guide Fixture & Infrastructure Design: Partner on test fixture design and procurement, ensuring alignment to cost, scalability, and schedule requirements; engage in RFQ processes for optimal end-to-end test solutions. Support New Product Introduction (NPI): Support partner teams in the development of test solutions for new product builds, from concept prototypes through production ramp, ensuring readiness at each phase gate. Sustain & Improve: Provide ongoing support for deployed test systems, implement configuration changes for new product variants, and maintain comprehensive documentation of test procedures, specifications, and infrastructure. Provide Feedback Upstream: Deliver actionable design-for-test (DFT) feedback to hardware and firmware development teams to improve testability and manufacturing efficiency for future platforms. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 5+ years of management experience - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Knowledge of the electrical and mechanical systems involved in critical data center operations including systems such as feeders, transformers, generators, switchgear, UPS systems, ATS units, PDU units, chillers, pumps, air handling units, and CRAC units - Experience hiring, developing, and managing high-performing technical teams - Experience in manufacturing environment for data center hardware components or other critical to quality technical industries Preferred Qualifications: - Knowledge of building codes and regulations including Life Safety, BOCA, NFPA, NEC, and OSHA - Experience owning the operation of a mission-critical team or product - Experience with large-scale technical operations or large-scale compute farms - Experience with process improvement techniques such as Kaizen, Lean Manufacturing or Six Sigma 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, KY, Florence - 153,200.00 - 254,500.00 USD annually USA, TX, Austin - 153,200.00 - 254,500.00 USD annually USA, WA, Bellevue - 153,200.00 - 254,500.00 USD annually", "summaryDescription" : "Manager, Test and Technical Engineering at Amazon Data Services, Inc.. Skills: Software development, People management, Cloud computing. Manage a team of software engineers. Design and develop scalable software solutions", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:56:46.891", "lastUpdated" : "2026-06-16T07:22:57.615", "ingestTimestamp" : "2026-06-15T21:56:46.891", "mongoId" : "6a30564bf292fd229cf26f23", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448533/apply", "salaryAnnualMin" : 153200, "salaryAnnualMax" : 254500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Software development", "People management", "Cloud platforms", "Distributed systems", "Cloud computing", "System design", "Project management", "Team leadership", "Agile methodologies", "Machine learning", "Large-scale data processing" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305f6ef292fd229cf7cb17", "title" : "Senior Apparel Materials Analyst, Asia", "company" : "Brooks", "industry" : "Apparel Sourcing", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Apparel Materials Analyst in Taipei City, Taiwan, adjusted for industry and company size." }, "location" : "Taiwan, Taipei City", "locations" : [ "Taiwan, Taipei City" ], "timestamp" : "2026-06-16T14:49:15.691", "fingerprint" : "6c8faf6aa02104a2bce3e4ba4778f4ec7e2ac3974613f543ffe4c3bbb3fe6521", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/brooksrunning/81665b5b-c4cd-4dc7-8283-30ce07b719c6/apply", "externalId" : "81665b5b-c4cd-4dc7-8283-30ce07b719c6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Taipei City", "country" : "Taiwan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "25.0863700,121.4795473" } ], "locationText" : "Taipei City, Taiwan", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Material testing, Textile manufacturing, Supply chain management", "professionalSkills" : [ "Materials development", "Sourcing", "Quality control", "Data analysis" ], "hardSkillsList" : [ "Material science", "Textile engineering", "Quality assurance" ], "hardSkills" : [ { "name" : "Material science", "level" : "intermediate" }, { "name" : "Textile engineering", "level" : "intermediate" }, { "name" : "Quality assurance", "level" : "intermediate" } ], "majorSkills" : "Apparel materials, Materials development, Supply chain", "majorSkillsList" : [ "Apparel materials", "Materials development", "Supply chain" ], "coreResponsibilities" : "Develop and source innovative apparel materials, Collaborate with design and product teams, Manage material testing and analysis, Ensure material quality and performance, Identify and evaluate new material suppliers, Negotiate material costs and terms, Maintain material specifications and documentation, Support product development lifecycle, Monitor industry trends in apparel materials, Drive material sustainability initiatives", "teamCollaboration" : "Cross-functional teams; Design teams; Product teams; Supply chain partners", "domainKnowledge" : "Apparel materials; Textile properties; Sustainable materials; Global apparel supply chain", "domainList" : [ "apparel-materials", "textile-properties", "sustainable-materials", "global-apparel-supply-chain" ], "domainSpecificKnowledge" : [ "Apparel materials", "Textile properties", "Sustainable materials", "Global apparel supply chain" ], "communicationSkills" : "Supplier communication; Cross-functional communication", "documentationSkills" : "Material specifications; Technical documentation", "innovationCreativity" : "Material innovation", "problemSolvingSkills" : "Material troubleshooting; Supplier issue resolution", "outcomesObjectives" : "Source high-quality materials; Meet material cost targets; Ensure material performance standards; Drive material innovation", "qualificationsBasic" : "Bachelor's degree in Apparel, Textiles, or related field, 5+ years of experience in apparel materials development, Experience with material testing and analysis, Knowledge of textile manufacturing processes, Experience with global sourcing and supply chains", "qualificationsPreferred" : "Master's degree in a related field, Experience with sustainable materials, Familiarity with PLM systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Who We Are: At Brooks, we believe movement is the key to feeling more alive. That’s why we’re driven to create gear and experiences that take people to the place that makes them feel more alive — whether it’s a headspace, a feeling, or a finish line. Everyone who works at Brooks is propelled by a company culture that sparks excitement, fuels collaboration, inspires creativity, and ignites innovation. Our brand values help bond us together and drive our success: Runner First We act in the best interest of the runner Word is Bond We do what we say we’ll do Champion Heart We give our all in everything we do There is no “I” in Run We stay generous with our humanity Keep Moving We find ways to move every day, because joy is kinetic! We welcome everyone from every walk of life looking to inspire others through the power of movement - because we’re all moving towards something. Let’s run there. ## Your Responsibilities Materials Planning & Supply Chain Execution (30%) Own and drive assigned seasonal raw material planning activities by maintaining the material readiness tracker, advancing issue resolution through timely recommendations, identifying and escalating missing data or supplier risks, and delivering analysis and actions by seasonal calendar deadlines. Own execution of assigned seasonal workstreams with Apparel Product, Development, Sourcing, Supply Planning, and regional sourcing teams by advancing material decisions, resolving open items, aligning stakeholders on next steps, and driving assigned actions to completion by agreed-upon deadlines. Analyze material demand, inventory, capacity, lead-time, and supplier-status data for assigned categories and provide written recommendations that identify the issue, business impact, proposed action, owner, and requested decision or escalation. Maintain regular communication with assigned fabric mills, trim vendors, and Tier II suppliers as required by the seasonal calendar; confirm delivery, capacity, lead-time, and quality-impacting issues; document supplier commitments; and identify potential risks and provide recommendations on resolutions; escalate unresolved risks to your manager and relevant cross-functional owners. Evaluate supplier capabilities, lead times, and risk exposure using available data, supplier inputs, and Brooks planning requirements to inform sourcing decisions and business continuity planning. Identify process bottlenecks in assigned workflows and recommend practical changes that state the current issue, options considered, risks and benefits of each option, proposed process change, expected benefit, implementation owner, and timing. Provide insights and recommendations on material reservation and allocation strategies by maintaining accurate allocation data, identifying excess or shortage risks, and documenting recommendations to optimize inventory utilization and reduce liability exposure. Inventory Analysis & Operational Excellence (35%) Create and update assigned inventory and liability reports for seasonal and carryover materials, including open liability, usage, aging, reservation, allocation, and excess-risk data, and refresh reports on the cadence set by the manager or seasonal calendar. Analyze material consumption trends, supplier performance, and production risks to provide actionable written recommendations to cross-functional stakeholders. Create assigned analytical tools, dashboards, and reporting frameworks, ensuring clarity and consistency across data sources, formulas, assumptions, refresh cadence, and version control, while proactively resolving data and formula issues within established timelines. Review assigned reports to identify anomalies, inventory risks, and process gaps; document the issue and its root cause or likely cause, outline the recommended corrective action, owner, and due date; and track agreed actions through closure or escalation. Lead and support continuous improvement initiatives focused on materials planning, supplier management, inventory optimization, and operational workflows by completing assigned deliverables, documenting process changes, and reporting implementation status. Drive process standardization and documentation by maintaining and continuously updating work instructions, reporting definitions, and process documentation. Supplier Management & Cross-Functional Collaboration (20%) Partner with regional sourcing offices and suppliers to resolve material, delivery, and quality issues impacting production timelines by defining the issue, required action, owner, and target resolution date, and driving follow-through to closure or timely escalation. Influence supplier performance through proactive communication, KPI tracking, issue resolution, and operational follow-through, including documented supplier commitments and escalation of unresolved issues. Partner with Product, Development, Quality, Planning, Compliance, and Sourcing teams to advance assigned work by providing accurate material-status information, aligning on priorities and next steps, raising risks with supporting facts, and driving timely follow-through on assigned actions and agreed timelines. Communicate material risks, liabilities, and supply chain impacts in writing or meetings using a clear issue summary, affected style/material/supplier, business impact, recommended action, decision needed, and timing. Lead cross-functional resolution of material readiness, inventory exposure, and supply continuity challenges by defining the issue, aligning required stakeholders on actions and decisions, and driving agreed next steps to closure or timely escalation. Reporting, Analytics & Systems (15%) Own the creation and evolution of assigned reporting tools and analytical models supporting materials planning and operational visibility, including documented data sources, formulas, assumptions, and update cadence. Analyze data across multiple systems and supplier inputs to identify trends, operational gaps, and opportunities for improved execution. Generate quarterly liability reporting, end-of-season reserve analysis, and supplier performance insights according to agreed reporting deadlines. Play a key role in operational excellence initiatives through automation, reporting improvements, and improved data visibility, including testing outputs and documenting changes before regular use. Partner with Supply Planning and Compliance teams to drive accurate planning data, reporting requirements, and supply chain transparency initiatives by owning assigned deliverables, resolving data gaps, and providing timely, complete, and supportable information. ## Qualifications Bachelor’s degree in supply chain management, Textile Engineering, Business, Operations, or related field and/or equivalent combination of education and experience. 5+ years of experience in apparel materials planning, sourcing operations, supply chain management, demand planning, inventory management, or related field. Strong understanding of apparel materials, textile manufacturing, garment production, and global supply chain operations. Experience working with global fabric mills, trim suppliers, Tier I/Tier II suppliers, and cross-functional product creation teams. Advanced proficiency in Microsoft Excel, including complex formulas, pivot tables, data analysis, and reporting. Experience with FlexPLM, ERP systems, MRP/planning systems, and supply chain reporting tools. Demonstrated ability to manage incomplete or changing information by identifying assumptions, confirming missing inputs, proposing a practical path forward, and escalating decisions that require manager or cross-functional approval. Strong analytical skills with the ability to interpret data across multiple systems, document assumptions, identify risks, and communicate insights effectively. Proven ability to lead projects, influence cross-functional partners, and manage competing priorities in a fast-paced environment. Excellent interpersonal, verbal, and written communication skills, including the ability to communicate material status, risk, business impact, recommended action, and timing to internal and external partners. Demonstration of innovation and initiative with a continuous improvement mindset and bias toward action. Strong organizational and time management skills with the ability to execute against multiple deadlines and changing priorities. Ability to anticipate downstream impacts by identifying affected materials, styles, suppliers, delivery dates, costs, inventory exposure, and cross-functional owners before recommending or implementing material planning decisions. Demonstrate ownership by completing assigned work by agreed deadlines, maintaining accurate work product, identifying errors or blockers promptly, proposing corrective action, and escalating when work cannot be completed on time or as assigned. Ability to travel up to 25% of working time for supplier, regional sourcing, and Brooks business needs, subject to manager approval, applicable Brooks travel policy, and applicable Taiwan labor law requirements. Passion for performance product, apparel innovation, and Brooks brand values. Embraces and lives the Brooks values. Preferred Qualifications Experience supporting apparel sourcing, production operational excellence, or global materials strategy initiatives. Knowledge of yarn, greige, dyeing, and finishing processes within textile manufacturing. Experience with inventory optimization, liability management, and supplier performance measurement. Familiarity with sustainable materials, circularity initiatives, and responsible sourcing practices. Understanding of global trade compliance, textile regulations, and duty management. ## Additional Information At Brooks, we celebrate diversity & equity. We are committed to creating an inclusive environment, and encourage people of all backgrounds, perspectives, experiences, and skills to apply. Brooks is proud to be an equal employment opportunity employer. All employment decisions are made without regard to race, religion, creed, color, national origin, age, sex, gender, gender identity or expression, two-spirit identity, sexual orientation, genetic information, the presence of a physical, mental, or sensory disability, marital status, pregnancy (including childbirth and related conditions), caste, citizenship or immigration status, honorably discharged veteran or military status, actual or perceived victims of domestic violence, harassment, sexual assault or stalking, HIV or Hepatitis C infection, political ideology, use of a trained service animal by a person with a disability, or on any other basis protected by federal, state, or local law, or any other non-merit based factors.", "summaryDescription" : "Senior Apparel Materials Analyst, Asia at Brooks. Skills: Apparel materials, Materials development, Supply chain. Develop and source innovative apparel materials. Collaborate with design and product teams", "postedDate" : "2026-06-15T04:41:41.052", "createdAt" : "2026-06-15T04:41:41.052", "lastUpdated" : "2026-06-16T14:49:15.691", "ingestTimestamp" : "2026-06-16T03:23:41.527", "mongoId" : "6a305f6ef292fd229cf7cb17", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Material science", "Textile engineering", "Quality assurance", "Apparel materials", "Materials development", "Supply chain", "Sourcing", "Quality control", "Data analysis", "Textile properties", "Sustainable materials", "Global apparel supply chain" ], "skillCount" : 12, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Outdoor & Apparel", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e426f8b1b0376634c666", "title" : "Senior Applied Scientist, Model Customization", "company" : "AWS EMEA SARL (UK Branch)", "industry" : "Data Science, Applied Science, Cloud Computing", "salary" : { "min" : 105000.0, "max" : 155000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Applied Scientist in London, UK, adjusted for seniority and technology industry." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T00:57:46.655", "fingerprint" : "dc592e9777a6486abf9d945fc4b557bc321c2f7482c8a5a245bb3a238ba0b6fd", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3076886/apply", "externalId" : "92fb5327-631e-4881-8837-759ec12ff84b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Large Language Model, LLM, Foundational Model", "professionalSkills" : [ "Model selection", "Model tuning", "Right-sizing", "Distillation", "Hardware optimization", "Cost efficiency" ], "hardSkillsList" : [ "Generative AI algorithms", "Machine Learning", "Data mining", "Numerical optimization", "Parallel computing", "Distributed computing", "High-performance computing" ], "hardSkills" : [ { "name" : "Generative AI algorithms", "level" : "intermediate" }, { "name" : "Machine Learning", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Numerical optimization", "level" : "intermediate" }, { "name" : "Parallel computing", "level" : "intermediate" }, { "name" : "Distributed computing", "level" : "intermediate" }, { "name" : "High-performance computing", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Model Customization, Applied Science", "majorSkillsList" : [ "Generative AI", "Model Customization", "Applied Science" ], "coreResponsibilities" : "Research generative AI solutions, Design generative AI solutions, Develop generative AI solutions, Evaluate generative AI solutions, Interact with customers, Understand business problems, Implement generative AI solutions, Brief customers, Guide customers on adoption patterns, Guide customers on paths to production, Optimize customer solutions, Provide customer feedback, Provide market feedback, Design experiments, Run experiments, Research new algorithms, Find new ways of optimizing risk, Find new ways of optimizing profitability, Find new ways of optimizing customer experience, Design state-of-the-art solutions, Evangelize state-of-the-art solutions, Implement state-of-the-art solutions", "teamCollaboration" : "AI/ML scientists; Architects; Product teams; Engineering teams", "domainKnowledge" : "Generative AI; Machine Learning; Cloud computing; AI responsibly; Cost efficient AI", "domainList" : [ "generative-ai", "machine-learning", "cloud-computing", "ai-responsibly", "cost-efficient-ai" ], "domainSpecificKnowledge" : [ "Generative AI", "Machine Learning", "Cloud computing", "AI responsibly", "Cost efficient AI" ], "toolProficiency" : [ "trl", "verl", "LangChain", "LlamaIndex" ], "communicationSkills" : "Convey technical concepts; Convey considerations", "innovationCreativity" : "Innovate in fast-paced organization; Game-changing projects; Game-changing technologies; New ways of optimizing", "problemSolvingSkills" : "Identify technical problems; Frame technical problems; Solve real world problems; Navigate technical challenges", "outcomesObjectives" : "Realize transformational business opportunities; Create greatest business value; Launch solutions at scale", "qualificationsBasic" : "PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, Master's degree plus 10 years of relevant work experience, 5+ years hands on experience with Python, 5+ years experience in algorithms and data structures, 5+ years experience in parsing, 5+ years experience in numerical optimization, 5+ years experience in data mining, 5+ years experience in parallel and distributed computing, 5+ years experience in high-performance computing, 2+ years demonstrated experience with LLM and Foundational Model post-training, 2+ years demonstrated experience with continual pre-training, 2+ years demonstrated experience with fine-tuning, 2+ years demonstrated experience with reinforcement learning techniques", "qualificationsPreferred" : "Demonstrated experience with building LLM-powered agentic workflow, Demonstrated experience with orchestration, Demonstrated experience with agent customization, Experience with model optimization techniques, Experience with open-source frameworks for model customization, Experience with building LLM-powered applications, Track record of leading design, Track record of implementation, Track record of delivery of scientifically-complex solutions, Experience driving scientific agenda, Experience driving technical strategy, Building consensus on technical approaches, Mentoring other scientists", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an Applied Scientist, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production • Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization • Provide customer and market feedback to product and engineering teams to help define product direction About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, or Master’s degree plus 10 years of relevant work experience - 5+ years of hands on experience with Python to build, train, and evaluate models - 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques. - Scientific publication track record at top-tier AI/ML/NLP conferences or journals Preferred Qualifications: - Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization - Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.) - Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/ or similar tools - Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts - Demonstrated ability to identify and frame technical problems from broad product-level and business-level problem areas. - Track record of leading the design, implementation and delivery of scientifically-complex solutions that span multiple teams. - Experience driving scientific agenda and technical strategy in a team, including building consensus on technical approaches and mentoring other scientists to improve their technical capabilities. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Senior Applied Scientist, Model Customization at AWS EMEA SARL (UK Branch). Skills: Generative AI, Model Customization, Applied Science. Research generative AI solutions. Design generative AI solutions", "postedDate" : "2026-06-13T11:03:53.183", "createdAt" : "2026-06-13T11:03:53.183", "lastUpdated" : "2026-06-15T00:57:46.655", "ingestTimestamp" : "2026-06-13T11:03:53.183", "mongoId" : "68c2e426f8b1b0376634c666", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3076886/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Generative AI algorithms", "Machine Learning", "Data mining", "Numerical optimization", "Parallel computing", "Distributed computing", "High-performance computing", "Generative AI", "Model Customization", "Applied Science", "Model selection", "Model tuning", "Right-sizing", "Distillation", "Hardware optimization", "Cost efficiency", "Cloud computing", "AI responsibly", "Cost efficient AI", "trl", "verl", "LangChain", "LlamaIndex" ], "skillCount" : 23, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "68c2e422f8b1b0376634c546", "title" : "Senior Applied Scientist, Model Customization", "company" : "Amazon Web Services, Inc.", "industry" : "Machine Learning Science, Applied Science, Cloud Computing", "salary" : { "min" : 150400.0, "max" : 260000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T04:13:25.996", "fingerprint" : "d21b8adc444a725ad8c8b6b3d651dd8945c24ed958c12564d4918c91d75cacb1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077379/apply", "externalId" : "62e923e1-a547-4fb0-95f2-03b4edbd4850", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Generative AI, Machine Learning, Python, LLM, Foundational Model, AI/ML, NLP", "professionalSkills" : [ "Model customization", "Model optimization", "Risk management", "Profitability optimization", "Customer experience optimization" ], "hardSkillsList" : [ "Algorithm research", "Model development", "Model evaluation", "Model selection", "Model training", "Model tuning", "Right-sizing models", "Hardware optimization", "Reinforcement learning" ], "softSkillsList" : [ "Curiosity", "Connection" ], "hardSkills" : [ { "name" : "Algorithm research", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" }, { "name" : "Model evaluation", "level" : "intermediate" }, { "name" : "Model selection", "level" : "intermediate" }, { "name" : "Model training", "level" : "intermediate" }, { "name" : "Model tuning", "level" : "intermediate" }, { "name" : "Right-sizing models", "level" : "intermediate" }, { "name" : "Hardware optimization", "level" : "intermediate" }, { "name" : "Reinforcement learning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" }, { "name" : "Connection" } ], "majorSkills" : "Generative AI, Model Customization, Applied Science", "majorSkillsList" : [ "Generative AI", "Model Customization", "Applied Science" ], "coreResponsibilities" : "Research generative AI solutions, Design generative AI solutions, Develop generative AI solutions, Evaluate generative AI solutions, Interact with customers, Understand business problems, Implement generative AI solutions, Brief customers, Guide adoption patterns, Guide paths to production, Optimize solutions, Provide customer feedback, Provide market feedback, Design experiments, Run experiments, Research new algorithms, Find new optimization ways", "teamCollaboration" : "AI/ML scientists; Architects; Product teams; Engineering teams; Customers", "domainKnowledge" : "Generative AI; Large Language Models; Foundational Models", "domainList" : [ "generative-ai", "large-language-models", "foundational-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "Foundational Models" ], "toolProficiency" : [ "trl", "verl", "LangChain", "LlamaIndex" ], "communicationSkills" : "Convey technical concepts", "innovationCreativity" : "Innovate; R&D", "problemSolvingSkills" : "Solve real-world problems; Navigate technical challenges; Navigate business challenges", "outcomesObjectives" : "Realize transformational business opportunities; Create greatest business value; Launch solutions at scale", "qualificationsBasic" : "PhD degree or Master's degree, 5+ years relevant experience, 5+ years Python experience, 5+ years algorithms and data structures, 5+ years parsing, 5+ years numerical optimization, 5+ years data mining, 5+ years parallel and distributed computing, 5+ years high-performance computing, 2+ years LLM experience, 2+ years Foundational Model experience, Scientific publication track record", "qualificationsPreferred" : "LLM-powered agentic workflow experience, Orchestration experience, Agent customization experience, Model optimization techniques experience, Quantization experience, Distillation experience, Compression experience, Inference optimization experience, trl experience, verl experience, LangChain experience, LlamaIndex experience, Attention to detail, Convey technical concepts to non-experts, Identify and frame technical problems, Lead design of complex solutions, Implement complex solutions, Deliver complex solutions, Drive scientific agenda, Drive technical strategy, Build consensus on technical approaches, Mentor scientists", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an Applied Scientist, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production • Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization • Provide customer and market feedback to product and engineering teams to help define product direction About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, or Master’s degree plus 10 years of relevant work experience - 5+ years of hands on experience with Python to build, train, and evaluate models - 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques. - Scientific publication track record at top-tier AI/ML/NLP conferences or journals Preferred Qualifications: - Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization - Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.) - Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/ or similar tools - Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts - Demonstrated ability to identify and frame technical problems from broad product-level and business-level problem areas. - Track record of leading the design, implementation and delivery of scientifically-complex solutions that span multiple teams. - Experience driving scientific agenda and technical strategy in a team, including building consensus on technical approaches and mentoring other scientists to improve their technical capabilities. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Applied Scientist, Model Customization at Amazon Web Services, Inc.. Skills: Generative AI, Model Customization, Applied Science. Research generative AI solutions. Design generative AI solutions", "postedDate" : "2026-06-13T10:44:13.028", "createdAt" : "2026-06-13T10:44:13.028", "lastUpdated" : "2026-06-15T04:13:25.996", "ingestTimestamp" : "2026-06-13T10:44:13.028", "mongoId" : "68c2e422f8b1b0376634c546", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3077379/apply", "salaryAnnualMin" : 150400, "salaryAnnualMax" : 260000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Algorithm research", "Model development", "Model evaluation", "Model selection", "Model training", "Model tuning", "Right-sizing models", "Hardware optimization", "Reinforcement learning", "Curiosity", "Connection", "Generative AI", "Model Customization", "Applied Science", "Model customization", "Model optimization", "Risk management", "Profitability optimization", "Customer experience optimization", "Large Language Models", "Foundational Models", "trl", "verl", "LangChain", "LlamaIndex" ], "skillCount" : 25, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a306260f292fd229cf99f28", "title" : "Heavy Equipment Operator", "company" : "Enviri Corporation", "industry" : "Environmental Services", "salary" : { "min" : 42500.0, "max" : 57500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Junior Heavy Equipment Operator in Kingman, United States, adjusted for industry and company size." }, "location" : "Kingman, AZ, United States", "locations" : [ "Kingman", "AZ", "United States" ], "certifications" : [ "CDL Class A or B license" ], "timestamp" : "2026-06-16T11:28:49.049", "fingerprint" : "b1820a3bfeac57632697ac845d8416c88eeed46cff2d55abc090de906a068643", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/EnviriCorporation/744000132266466-heavy-equipment-operator", "externalId" : "744000132266466", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kingman", "state" : "Arizona", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.1895921,-114.0532996" } ], "locationText" : "Kingman, Arizona, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "coreResponsibilities" : "Operate heavy equipment, Perform routine maintenance on equipment, Follow safety procedures, Load and unload materials, Assist with site preparation, Clean and maintain work areas, Operate equipment safely and efficiently", "specialRequirements" : "Must be able to work outdoors in various weather conditions, Must be able to work flexible hours including weekends and holidays", "qualificationsBasic" : "High School diploma or GED, Valid driver's license, Ability to pass a drug test, Ability to pass a background check, Ability to lift 50 pounds", "qualificationsPreferred" : "Experience operating heavy equipment, Experience in construction or demolition", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Harsco Environmental is the premier provider of material processing and environmental services to the global steel and metals industries. Our onsite mill services and resource recovery services offer sustainable solutions that maximize environmental benefit and return valuable raw material into production. We also have developed a range of by-products for specialized applications across industry, construction and agriculture, which utilize Harsco’s expertise in mineral materials. This position is responsible for day to day Heavy Equipment Operation activities at a steelmetal recovery plant. Running equipment such as loaders, excavators, skidsteer, heavy duty trucks, cranes. Duties include but not limited to: A. Performs routine mobile equipment pre start and post inspections and records activity on inspection sheets. B. Follows all plant safety guidelines for the safe operations of heavy mobile equipment. ## Qualifications Basic Qualifications: 1. High school diploma or equivalent. 2. 1 - 3 year’s experience as a equipment operator. 3. Ability to do manual labor in an outdoor environment that may include elevated areas and extreme weather conditions. 4. Good communications skills, and the ability to read operating instructions. 5. Proactive in SAFETY and works well in a team environment. ## Additional Information We offer competitive benefits, including health insurance, life insurance and disability plans, as well as a 401k with company matching. Harsco Environmental is an Equal Opportunity Employer. All information will be kept confidential according to EEO guidelines. If you have a difficulty applying for any job posted on the Harsco Environmental website because a disability prevents you from using the online system, Harsco Environmental offers the following alternate application procedure: Contact Sharon Geibel, Recruiter, at sgeibel@harsco.com and Harsco Environmental will arrange for an alternate method of applying and will consider your application together with all other applications received for the job. Please email only for disability application. No other inquiries will receive a response. Disclaimer: This job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not intended to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this position.", "summaryDescription" : "Heavy Equipment Operator at Enviri Corporation. Operate heavy equipment. Perform routine maintenance on equipment", "postedDate" : "2026-06-15T18:49:47.000", "createdAt" : "2026-06-16T00:21:19.834", "lastUpdated" : "2026-06-16T11:28:49.049", "ingestTimestamp" : "2026-06-16T00:21:19.834", "mongoId" : "6a306260f292fd229cf99f28", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 42500, "salaryAnnualMax" : 57500, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "CDL Class A or B license" ], "skillCount" : 1, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3054b0f292fd229cf19dba", "title" : "Heavy Equipment Operator", "company" : "Enviri Corporation", "industry" : "Environmental Services", "salary" : { "min" : 43000.0, "max" : 58000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Heavy Equipment Operator in Kingman, United States, adjusted for industry and company size." }, "location" : "Kingman, AZ, United States", "locations" : [ "Kingman", "AZ", "United States" ], "certifications" : [ "CDL Class A or B license" ], "timestamp" : "2026-06-16T10:08:48.877", "fingerprint" : "21afad169bc85914bb4aff54bef1fc8112e4f8e17f0968c976cf55a8aa48d250", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/EnviriCorporation/744000132266466-heavy-equipment-operator", "externalId" : "744000132266466", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kingman", "state" : "Arizona", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.1895921,-114.0532996" } ], "locationText" : "Kingman, Arizona, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "coreResponsibilities" : "Operate heavy equipment, Perform routine maintenance on equipment, Follow safety protocols, Load and unload materials, Assist with site preparation, Clean work areas", "specialRequirements" : "Must be able to work outdoors in various weather conditions, Must be able to stand for extended periods, Must be able to work flexible hours", "qualificationsBasic" : "High School diploma or GED, Valid driver's license, Ability to pass a drug test, Ability to pass a background check, Ability to lift 50 pounds", "qualificationsPreferred" : "Experience operating heavy equipment, Experience in construction or demolition", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Harsco Environmental is the premier provider of material processing and environmental services to the global steel and metals industries. Our onsite mill services and resource recovery services offer sustainable solutions that maximize environmental benefit and return valuable raw material into production. We also have developed a range of by-products for specialized applications across industry, construction and agriculture, which utilize Harsco’s expertise in mineral materials. This position is responsible for day to day Heavy Equipment Operation activities at a steelmetal recovery plant. Running equipment such as loaders, excavators, skidsteer, heavy duty trucks, cranes. Duties include but not limited to: A. Performs routine mobile equipment pre start and post inspections and records activity on inspection sheets. B. Follows all plant safety guidelines for the safe operations of heavy mobile equipment. ## Qualifications Basic Qualifications: 1. High school diploma or equivalent. 2. 1 - 3 year’s experience as a equipment operator. 3. Ability to do manual labor in an outdoor environment that may include elevated areas and extreme weather conditions. 4. Good communications skills, and the ability to read operating instructions. 5. Proactive in SAFETY and works well in a team environment. ## Additional Information We offer competitive benefits, including health insurance, life insurance and disability plans, as well as a 401k with company matching. Harsco Environmental is an Equal Opportunity Employer. All information will be kept confidential according to EEO guidelines. If you have a difficulty applying for any job posted on the Harsco Environmental website because a disability prevents you from using the online system, Harsco Environmental offers the following alternate application procedure: Contact Sharon Geibel, Recruiter, at sgeibel@harsco.com and Harsco Environmental will arrange for an alternate method of applying and will consider your application together with all other applications received for the job. Please email only for disability application. No other inquiries will receive a response. Disclaimer: This job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not intended to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this position.", "summaryDescription" : "Heavy Equipment Operator at Enviri Corporation. Operate heavy equipment. Perform routine maintenance on equipment", "postedDate" : "2026-06-15T18:49:47.000", "createdAt" : "2026-06-15T23:34:38.147", "lastUpdated" : "2026-06-16T10:08:48.877", "ingestTimestamp" : "2026-06-15T23:34:38.147", "mongoId" : "6a3054b0f292fd229cf19dba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 43000, "salaryAnnualMax" : 58000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "CDL Class A or B license" ], "skillCount" : 1, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30788af292fd229c02b862", "title" : "Ground Equipment Mechanic", "company" : "Transat AT", "industry" : "Airlines/Aviation", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Ground Equipment Mechanic in Montreal, Canada, adjusted for the logistics industry." }, "location" : "Montreal, Quebec, Canada", "locations" : [ "Montreal", "Quebec", "Canada" ], "timestamp" : "2026-06-16T11:10:12.920", "fingerprint" : "aa3f117f235bfae15276b9e319fd91b972b5ecc951ba118c657150223e941561", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/TransatAT1/744000132256905-ground-equipment-mechanic", "externalId" : "744000132256905", "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", "experienceLevel" : "not-applicable", "hardSkillsList" : [ "Welding", "Propane knowledge", "Electrical knowledge", "Diesel knowledge", "Gas knowledge" ], "hardSkills" : [ { "name" : "Welding", "level" : "intermediate" }, { "name" : "Propane knowledge", "level" : "intermediate" }, { "name" : "Electrical knowledge", "level" : "intermediate" }, { "name" : "Diesel knowledge", "level" : "intermediate" }, { "name" : "Gas knowledge", "level" : "intermediate" } ], "majorSkills" : "Mechanical repair, Ground equipment maintenance", "majorSkillsList" : [ "Mechanical repair", "Ground equipment maintenance" ], "coreResponsibilities" : "Handle maintenance on ground equipment, Handle mechanical repair on ground equipment, Handle maintenance on heavy vehicles, Handle mechanical repair on heavy vehicles, Handle maintenance on light vehicles, Handle mechanical repair on light vehicles", "teamCollaboration" : "Communicate with colleagues; Collaborate with customers; Collaborate with stakeholders", "domainKnowledge" : "Air Transat vehicles", "domainList" : [ "air-transat-vehicles" ], "domainSpecificKnowledge" : [ "Air Transat vehicles" ], "communicationSkills" : "Oral communication; Written communication", "continuousLearning" : "Learn all facets of the trade", "specialRequirements" : "Physical demands", "qualificationsBasic" : "Relevant training or experience, Ability to obtain RAIC card, Ability to obtain DA drivers permit", "qualificationsPreferred" : "Experience in bodywork, Mastery of welding (mig and tig), Knowledge of propane, Knowledge of electrical, Knowledge of diesel, Knowledge of gas propulsive", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Be part of the journey! Our mission is to be the preferred airline of our customers and our team. Open-mindedness, concern for others, intelligence at work and, above all, a healthy dose of fun enable us to achieve great things every day. Our dedication has earned us the title of the world's best leisure airline multiple times, and we’re just getting started. Want to join us? You will have the chance to enjoy exclusive travel privileges to explore the world and create unforgettable memories. You will also have the opportunity to work in a modern, inspiring environment. * Handles the maintenance and mechanical repair tasks on ground equipment; * Handles the maintenance and mechanical repair tasks on heavy/ light weight Air Transat vehicles. ## Qualifications * Relevant training and/or experience in this specific field. * Experience in body bodywork with a mastery of welding (mig and tig),an asset. * Great desire to learn all the facets of the trade. * Team spirit, resourcefulness, ability to meet deadlines, detail oriented. * Knowledge of propane, electrical, diesel and gas propulsive equipment; an asset. * Ability to obtain RAIC card and DA drivers permit (Airport pass from Transport Canada). ## Additional Information A good knowledge of French is required for positions in Quebec. The incumbent will be required to communicate and collaborate in English, both orally and in writing, with colleagues, customers, and other stakeholders in Quebec, the rest of Canada, and internationally. Artificial intelligence tools are used to analyze applications, whether to sort or preselect profiles based on criteria related to job requirements. All applications are then reviewed by our recruitment team to ensure a fair and inclusive process. #LI-AB1 Employment Equity At Transat, we foster an environment where inclusiveness, respect and equity reign. We endeavour to build a workforce that reflects the diversity of our customers as well as the communities to which we travel. We encourage women, members of visible minorities, ethnic minorities, aboriginal peoples as well as people with disabilities to submit their candidacy. Transat will accommodate people with disabilities throughout the recruitment and selection process. If you require an accommodation, please contact us in order to work together in meeting adequately your needs.", "summaryDescription" : "Ground Equipment Mechanic at Transat AT. Skills: Mechanical repair, Ground equipment maintenance. Handle maintenance on ground equipment. Handle mechanical repair on ground equipment", "postedDate" : "2026-06-15T18:16:55.000", "createdAt" : "2026-06-16T01:32:48.522", "lastUpdated" : "2026-06-16T11:10:12.920", "ingestTimestamp" : "2026-06-16T01:32:48.522", "mongoId" : "6a30788af292fd229c02b862", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Welding", "Propane knowledge", "Electrical knowledge", "Diesel knowledge", "Gas knowledge", "Mechanical repair", "Ground equipment maintenance", "Air Transat vehicles" ], "skillCount" : 8, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6cc174d8ee00a091b2bc", "title" : "Equipment Operator", "company" : "Muller, Inc.", "industry" : "Manufacturing", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Equipment Operator in Manassas, United States, adjusted for Lead seniority and mid-level experience in the Construction industry." }, "location" : "Manassas, Virginia, United States", "locations" : [ "Manassas", "Virginia", "United States" ], "timestamp" : "2026-06-16T01:05:15.843", "fingerprint" : "6ae80a9e26de29576cf0366782528188644895594fe89efc510f57f032d035f5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/mullerinc/jobs/7771609003", "externalId" : "7771609003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Manassas", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.7509488,-77.4752667" } ], "locationText" : "Manassas, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Customer service", "Process improvements" ], "hardSkillsList" : [ "Dry utility construction" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Dry utility construction", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Dry utility projects, Equipment operation, Crew management", "majorSkillsList" : [ "Dry utility projects", "Equipment operation", "Crew management" ], "coreResponsibilities" : "Keep job-site clean, Keep work area organized, Keep work area secure, Maintain safety awareness, Perform daily tailgate talk, Comply with OSHA policy, Comply with Company Policy, Complete equipment pre-checks, Complete equipment post-checks, Use equipment in safe manner, Utilize spotter, Assist foreman with managing crew, Manage subcontractors on job-site, Maintain company equipment on-site, Grease company equipment, Clean company equipment, Track company equipment, Secure company equipment, Call off-rent equipment, Communicate equipment damage, Communicate equipment loss, Enter daily equipment inspections, Report damaged equipment, Request maintenance needs, Contribute ideas, Contribute feedback, Initiate division wide improvements", "teamCollaboration" : "Managing crew; Managing subcontractors", "domainKnowledge" : "Dry utility construction; Construction industry developments", "domainList" : [ "dry-utility-construction", "construction-industry-developments" ], "domainSpecificKnowledge" : [ "Dry utility construction", "Construction industry developments" ], "communicationSkills" : "Daily communication", "documentationSkills" : "Reporting equipment loss; Reporting damaged equipment; Requesting maintenance needs", "innovationCreativity" : "Focus on process improvements", "problemSolvingSkills" : "Solution oriented", "specialRequirements" : "Physically fit for manual labor, Heavy lifting (up to 50 lbs), Sit and stand regularly, Use hands to fingers, Handle or feel, Verbally communicate, Listen, Walking, Climbing or balancing, Stooping, kneeling, crouching or crawling, Distance vision, Color vision, Peripheral vision, Depth perception, Ability to adjust focus, Reliable transportation to job site, Arrive on job-site no later than 7am", "outcomesObjectives" : "Ensure Dry Utility Division is successful; Ensure Dry Utility Division continues to grow", "qualificationsBasic" : "2-5 years of experience with dry utility projects, Backhoe operator skills, Excavator operator skills, 1 Year experience overseeing 3 or more dry utility crews, Ability to read and understand plans, General understanding of construction, Leadership skills, Working experience managing a crew, Valid Driver’s License", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are hiring experienced dry utilities operators, the ideal candidate will possess extremely high technical knowledge for dry utility construction, strong customer service, and up to date with new construction industry developments. Disclaimer: The following description has been designed to indicate the general nature and essential responsibilities of work performed by employees within this classification. It is not a comprehensive inventory of all duties, responsibilities, and qualifications required. Responsibilities: Job-site, keeping work area clean, organized, and secure. Safety awareness and compliance; daily communication and expectations clearly set, daily tailgate talk performed, OSHA and Company Policy compliance, equipment pre and post check completed, use of equipment in safe manner, utilization of spotter, etc. Accountability of self and assist foreman with managing crew, including subcontractors on job-site (i. e. traffic control crews, saw cutting crew, sub excavator, etc.) Maintaining company equipment on-site (grease, clean, track, secure, call off-rent, and communicate any damage/loss ASAP) Required to be on job-site no later than 7am unless project requires different start/stop time. Employee is responsible for maintaining reliable transportation options to and from job site. Strong communication skills with internal and external partners. Administrative responsibilities daily/weekly. Operator Technician will be required to enter daily pre/post equipment inspections, reporting any loss or damaged equipment, requesting maintenance needs. Positive, solution oriented, forward thinking attitude, contribute ideas and feedback, focus on process improvements and help initiate division wide, must have a WE/TEAM mentality to ensure the Dry Utility Division is successful and continues to grow with a strong and positive culture. Required Qualifications: At minimum 2-5 years of experience with dry utility projects Operator skills: backhoe and excavator Must possess at minimum 1 Year experience overseeing 3 or more dry utility crews Ability to read and understand plans General understanding of construction Must have strong leadership skills and working experience managing a crew Valid Driver’s License Physical Requirements: Employee must be physically fit to perform manual labor in all types of environments and conditions, including heavy lifting (up to 50 lbs.). Regularly required to sit and stand, must be able to use hands to fingers, handle or feel and verbally communicate and listen. Other physical requirements include walking, climbing or balancing and stooping, kneeling, crouching or crawling. Specific vision abilities required by the position include distance vision, color vision, peripheral vision, depth perception and the ability to adjust focus. Compensation: Competitive Salary + Yearly Bonus Paid Holidays and Vacation Health, Vision, and Dental Insurance plus additional voluntary plans 401K with company match", "summaryDescription" : "Equipment Operator at Muller, Inc.. Skills: Dry utility projects, Equipment operation, Crew management. Keep job-site clean. Keep work area organized", "postedDate" : "2026-06-14T18:39:51.418", "createdAt" : "2026-06-14T18:39:51.418", "lastUpdated" : "2026-06-16T01:05:15.843", "ingestTimestamp" : "2026-06-14T18:39:51.418", "mongoId" : "6a2c6cc174d8ee00a091b2bc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Dry utility construction", "Leadership", "Dry utility projects", "Equipment operation", "Crew management", "Customer service", "Process improvements", "Construction industry developments" ], "skillCount" : 8, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305110f292fd229cef90b7", "title" : "Sales Manager (m/f/d) with Amazon expertise", "salary" : { "min" : 160000.0, "max" : 240000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in E-Commerce in Poland, adjusted for remote work and Amazon expertise." }, "location" : "Poland/Italy (100% remote)", "locations" : [ "Poland", "Italy" ], "timestamp" : "2026-06-16T05:15:03.228", "fingerprint" : "109ce4941ad4f76336a95d0f8ced5b907d39170cc710ecc8222eab9c98911d51", "source" : "join_com", "language" : "en", "applyUrl" : "https://join.com/companies/efly-amz/16308990-sales-manager-m-f-d-with-amazon-expertise-based-in-poland-italy-100-remote", "externalId" : "16308990", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "remote" }, { "country" : "Italy", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Poland; Italy", "experienceLevel" : "Manager", "domainKnowledge" : "Amazon expertise", "domainList" : [ "amazon-expertise" ], "domainSpecificKnowledge" : [ "Amazon expertise" ], "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "summaryDescription" : "Sales Manager (m/f/d) with Amazon expertise", "createdAt" : "2026-06-15T22:53:40.637", "lastUpdated" : "2026-06-16T05:15:03.228", "ingestTimestamp" : "2026-06-15T22:53:40.637", "mongoId" : "6a305110f292fd229cef90b7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Amazon expertise" ], "skillCount" : 1, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Manager", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde4492beec4dd3d9a3299", "title" : "Equipment Operator/Equipment Operator Specialist", "company" : "Texas Department of Transportation", "industry" : "Government", "salary" : { "min" : 45521.0, "max" : 76028.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Karnes City-Karnes City-Karnes Co Ae/Maint", "locations" : [ "UST-Texas-Karnes City-Karnes City-Karnes Co Ae/Maint", "Yearly", "Nonexempt,
Karnes City-Karnes Co Ae/Maint (16KARNESCO)
800 S 181
Karnes City, 78118

, Karnes City-Karnes Co Ae/Maint" ], "timestamp" : "2026-06-16T02:16:13.708", "fingerprint" : "b3298e128af6a6751020012230a1b3ebd024fa25347a7b1b78c5ba6cfc355c87", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43688", "externalId" : "43688", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Karnes City", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "28.8849772,-97.9008356" } ], "locationText" : "Karnes City, Texas, United States", "employmentType" : "FULL_TIME", "majorSkills" : "Heavy equipment operation, Heavy equipment maintenance", "majorSkillsList" : [ "Heavy equipment operation", "Heavy equipment maintenance" ], "coreResponsibilities" : "Operate heavy equipment, Maintain heavy equipment, Support major maintenance operations, Perform hands-on fieldwork", "teamCollaboration" : "Teamwork", "domainKnowledge" : "Roadway maintenance", "domainList" : [ "roadway-maintenance" ], "domainSpecificKnowledge" : [ "Roadway maintenance" ], "specialRequirements" : "Safety driven", "qualificationsBasic" : "Equipment Operator experience, Equipment Operator Specialist experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join our Karnes City Maintenance Team and help shape the heart of Texas! We are looking for dedicated, skilled, and safety driven individuals to step into key roles as Equipment Operators or Equipment Operator Specialists. In this vital position, you'll operate and maintain a variety of heavy equipment that keeps our roadways safe, reliable, and built for the future. From tackling hands-on fieldwork to supporting major maintenance operations, you'll be part of a team that takes pride in precision, teamwork and service to the community. If you're motivated, dependable and ready to work - apply today! Salary Ranges: Equipment Operator: (A18) $45,521 - $71,055 annually Equipment Operator Specialist: (A19) $48,244 - $76,028 annually The Texas Department of Transportation reserves the sole right in determining the level position based on the applicant's work experience, education, skill level, and all other appropriate factors and based on business needs. 45,521.00 76,028.00", "summaryDescription" : "Equipment Operator/Equipment Operator Specialist at Texas Department of Transportation. Skills: Heavy equipment operation, Heavy equipment maintenance. Operate heavy equipment. Maintain heavy equipment", "createdAt" : "2026-06-14T20:49:27.513", "lastUpdated" : "2026-06-16T02:16:13.708", "ingestTimestamp" : "2026-06-14T20:49:27.513", "mongoId" : "69dde4492beec4dd3d9a3299", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45521, "salaryAnnualMax" : 76028, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Heavy equipment operation", "Heavy equipment maintenance", "Roadway maintenance" ], "skillCount" : 3, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308587f292fd229c079aa0", "title" : "Field Service and Technical Advising Specialist", "company" : "Wabtec", "industry" : "Railroad Manufacture", "salary" : { "min" : 1.5E7, "max" : 2.5E7, "currency" : "GNF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Field Service and Technical Advising Specialist in Conakry, Guinea, adjusted for the manufacturing industry and company size." }, "location" : "Conakry, GN", "locations" : [ "Conakry", "GN" ], "timestamp" : "2026-06-16T11:26:45.768", "fingerprint" : "168d428a3708dfdebc25b8e7c0a6a1ab5ac401dc0639f0baffc2a58110cfad03", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Wabtec/3743990013615566-field-service-and-technical-advising-specialist", "externalId" : "3743990013615566", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Conakry", "country" : "Guinea", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "9.5170602,-13.6998434" } ], "locationText" : "Conakry, Guinea", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "technicalSkills" : "Mechanical design, Electrical design, Control systems, Product development, CAD software, Simulation tools", "professionalSkills" : [ "Problem-solving", "Analytical skills", "Technical communication" ], "hardSkillsList" : [ "Mechanical engineering", "Electrical engineering", "Control theory", "Product lifecycle management" ], "hardSkills" : [ { "name" : "Mechanical engineering", "level" : "intermediate" }, { "name" : "Electrical engineering", "level" : "intermediate" }, { "name" : "Control theory", "level" : "intermediate" }, { "name" : "Product lifecycle management", "level" : "intermediate" } ], "majorSkills" : "Mechanical design, Electrical design, Control systems", "majorSkillsList" : [ "Mechanical design", "Electrical design", "Control systems" ], "coreResponsibilities" : "Design mechanical components, Design electrical systems, Develop control strategies, Oversee product development lifecycle, Collaborate with cross-functional teams, Conduct design reviews, Perform system testing, Troubleshoot technical issues", "teamCollaboration" : "Cross-functional teams; Engineering teams; Manufacturing teams; Sales teams", "projectManagementSkills" : [ "Project management", "Product development planning" ], "domainKnowledge" : "Industrial automation; Robotics; Mechatronics", "domainList" : [ "industrial-automation", "robotics", "mechatronics" ], "domainSpecificKnowledge" : [ "Industrial automation", "Robotics", "Mechatronics" ], "toolProficiency" : [ "CAD software", "Simulation tools", "Project management software" ], "communicationSkills" : "Technical documentation; Design reviews; Project updates", "documentationSkills" : "Technical documentation; Design specifications; Test reports", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Design optimization", "outcomesObjectives" : "Deliver high-quality designs; Ensure product functionality; Meet project deadlines; Reduce product development costs", "qualificationsBasic" : "Bachelor's degree in Engineering, 5+ years of experience, Experience with mechanical design, Experience with electrical design, Experience with control systems, Experience with product development", "qualificationsPreferred" : "Master's degree preferred, Experience with CAD software, Experience with simulation tools, Experience with project management software", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Technical Advisor - FIFO Job Summary: The Technical Advisor will provide Wabtec Locomotive technical advice to Wabtec subcontracted maintenance staff for all covered locomotives on the customer rail network. Successful candidate will, amongst others: Ensure that locomotive servicing are completed in a timely manner, safely and to the agreed Maintenance Instructions (MI’s); Provide trouble shooting advice to maintenance technical personnel; Work closely with Reliability Engineers to improve key locomotive performance KPI’s; Ensures material is provided by the Wabtec material management team ‘Just in Time’ (JIT) for all maintenance opportunities; Works closely with the other relevant stakeholders to ensure all locomotives that depart customer maintenance shops are best prepared to complete 100% successful journeys; Engage and discuss Wabtec technical products with customer and subcontracting team to improve reliability / productivity and other KPIs. This role will be based in Guinea near the port of Morebaya on a rotational basis(FIFO) of 60 days on and 15 days off. The operation is 24/7 running two 12 hour shifts. Accommodation will be provided at the facility. Mobilization and demobilization, air and land transportation will be provided. This role will be eligible for an assignment allowance and overtime. Main Duties: Reporting directly to the Lead Technical Advisor this role will; * Respond and execute on requests for planned and unplanned maintenance, troubleshooting, failure analysis, field modification oversight, issue feedback and engineering support; * Providing training and assistance to customers and subcontractor on product maintenance, troubleshooting and repair to ensure maintenance best practice compliance and according to Wabtec MIs. * Ensure that Maintenance management system is accurately updated during assigned shift. * Track and forecast material and consumables usage * Track product performance metrics and issue recommendations for continuous improvement. * Coordinating implementation of field modifications and monitor effectiveness. * Performing joint investigation of failed components. * Interaction with Wabtec teams worldwide on technical issues, product development and training. * Participate during Wabtec Internal and external reporting * Ensure timely resolution of customer issues and customer satisfaction * Develop a deep understanding of the customer’s business to identify opportunities for account growth and improvements * Participate and contribute during EHS initiatives to ensure work is conducted in a safely manner. Desired Characteristics * Proven analytical and organizational ability. * Ability to lead initiatives of moderate scope and impact. * Effective problem identification and solution skills * Lean/Six Sigma certification * High level of dependability, a great attitude, and an ability to work well with a team towards achieving common goal. * Proven ability to work well withing a diverse team. ## Qualifications Minimum Requirements * Bachelors’ Degree in a Technical discipline from an accredited College or University. * Minimum of 5 years in customer facing locomotive services role- Wabtec locomotives * L1 Locomotive Technical Training certification * Experience, willingness, and ability to work in shop environment and to work various shifts on various days as required. * Understanding of Wabtec Maintenance and Material management processes and systems. * Strong leadership and Interpersonal skills * Ability to interface with different levels of internal and external stakeholders. * Fluent in English, French or Mandarin ## Additional Information What could you accomplish in a place that puts People First? At Wabtec, it’s not just about a job - it’s about the impact you make. When our people come together, we’re Expanding the Possible by continuously improving what we do and how we do it - for our clients and each other. If you’re ready to revolutionize how the world moves for future generations, Wabtec is the place for you. Who are we? Wabtec is a leading global provider of equipment, systems, digital solutions, and value-added services for the freight and transit rail sectors. Drawing on more than 150 years of experience, we are leading the way in safety, efficiency, reliability, innovation, and productivity. Whether it’s freight, transit, ports, logistics, mining, industrial, or marine, our expertise, technologies, and people together – are accelerating the future of transportation. With roots that date back to George Westinghouse, Thomas Edison, and Louis Faiveley, Wabtec has always built technologies and implemented solutions for a variety of sectors that are critical to meeting the needs of customers and governments alike. Our global team of about 30,000 employees worldwide delivers performance that moves the world forward. We’re lifelong learners, obsessed with better. Learn more at www.WabtecCorp.com. Culture powers us and the possibilities. We believe the best ideas come from a mix of experiences and backgrounds. At Wabtec, we strive every day to create a place where everyone belongs. We’re building a culture where leadership, inclusion and your unique perspective fuel progress. We’re proud to be an Equal Opportunity Employer. We welcome talent of all backgrounds, experiences, and identities, including race, gender, age, disability, veteran status and more. Need accommodation? Just let us know - we’ve got you.", "summaryDescription" : "Field Service and Technical Advising Specialist at Wabtec. Skills: Mechanical design, Electrical design, Control systems. Design mechanical components. Design electrical systems", "postedDate" : "2026-06-15T09:46:03.000", "createdAt" : "2026-06-16T01:36:49.514", "lastUpdated" : "2026-06-16T11:26:45.768", "ingestTimestamp" : "2026-06-16T01:36:49.514", "mongoId" : "6a308587f292fd229c079aa0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Mechanical engineering", "Electrical engineering", "Control theory", "Product lifecycle management", "Mechanical design", "Electrical design", "Control systems", "Problem-solving", "Analytical skills", "Technical communication", "Project management", "Product development planning", "Industrial automation", "Robotics", "Mechatronics", "CAD software", "Simulation tools", "Project management software" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f66f292fd229c058cc2", "title" : "Technical Program Manager II, Infrastructure and Capacity, Platforms and Devices", "company" : "Google", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a mid-seniority Technical Program Manager II at a large technology company in Mountain View, California, adjusted for industry and company size." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]" ], "timestamp" : "2026-06-16T13:17:40.449", "fingerprint" : "736a1ce3510a99677eaa3df27b75955f2538e5664428af8f96db12de27d5f79e", "source" : "google", "language" : "en", "externalId" : "102137565053625030", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Infrastructure, Capacity planning, Distributed systems", "professionalSkills" : [ "Program management", "Stakeholder management", "Cross-functional leadership" ], "hardSkillsList" : [ "Capacity management", "Infrastructure planning" ], "hardSkills" : [ { "name" : "Capacity management", "level" : "intermediate" }, { "name" : "Infrastructure planning", "level" : "intermediate" } ], "majorSkills" : "Infrastructure, Capacity planning, Program management", "majorSkillsList" : [ "Infrastructure", "Capacity planning", "Program management" ], "coreResponsibilities" : "Manage infrastructure and capacity planning programs, Define program requirements and success metrics, Identify and mitigate program risks, Coordinate with engineering teams, Communicate program status to stakeholders, Drive program execution and delivery", "teamCollaboration" : "Cross-functional teams; Engineering teams; Stakeholder communication", "projectManagementSkills" : [ "Program management", "Agile methodologies" ], "domainKnowledge" : "Infrastructure; Capacity planning; Large-scale systems", "domainList" : [ "infrastructure", "capacity-planning", "large-scale-systems" ], "domainSpecificKnowledge" : [ "Infrastructure", "Capacity planning", "Large-scale systems" ], "communicationSkills" : "Program status reporting", "documentationSkills" : "Program documentation", "problemSolvingSkills" : "Risk mitigation", "qualificationsBasic" : "5+ years of experience in program management, Bachelor's degree or equivalent practical experience", "qualificationsPreferred" : "Master's degree or MBA, Experience with infrastructure and capacity planning, Experience with large-scale distributed systems", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Technical Program Manager II, Infrastructure and Capacity, Platforms and Devices at Google. Skills: Infrastructure, Capacity planning, Program management. Manage infrastructure and capacity planning programs. Define program requirements and success metrics", "postedDate" : "2026-06-16T01:50:09.806", "createdAt" : "2026-06-16T01:50:09.806", "lastUpdated" : "2026-06-16T13:17:40.449", "ingestTimestamp" : "2026-06-16T01:50:09.806", "mongoId" : "6a307f66f292fd229c058cc2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 275000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Capacity management", "Infrastructure planning", "Infrastructure", "Capacity planning", "Program management", "Stakeholder management", "Cross-functional leadership", "Agile methodologies", "Large-scale systems" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde4492beec4dd3d9a328d", "title" : "Equipment Operator", "company" : "Texas Department of Transportation", "location" : "UST-Texas-Alice-Alice-Jim Wells Co Ae/Maint", "locations" : [ "UST-Texas-Alice-Alice-Jim Wells Co Ae/Maint", "Yearly", "Nonexempt,
Alice-Jim Wells Co Ae/Maint (16JMWLLSCO)
1071 NORTH US HIGHWAY 281
Alice, 78332

, Alice-Jim Wells Co Ae/Maint" ], "timestamp" : "2026-06-15T10:22:53.109", "fingerprint" : "bc00dcc6004b282ea04ddb03352ba5178fd5b078f0815cff2302f981526e56e9", "source" : "taleo", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43961", "externalId" : "43961", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Alice", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Alice, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "hardSkillsList" : [ "operate heavy equipment", "maintain heavy equipment" ], "softSkillsList" : [ "safety-focused, driven, dependable, motivated" ], "hardSkills" : [ { "name" : "operate heavy equipment", "level" : "intermediate" }, { "name" : "maintain heavy equipment", "level" : "intermediate" } ], "softSkills" : [ { "name" : "safety-focused, driven, dependable, motivated" } ], "majorSkills" : "operate heavy equipment, maintain heavy equipment, safety-focused", "majorSkillsList" : [ "operate heavy equipment, maintain heavy equipment, safety-focused" ], "coreResponsibilities" : "Operate and maintain heavy equipment that keeps roadways safe and strong.", "teamCollaboration" : "Join our Alice Maintenance Team.", "specialRequirements" : "The Texas Department of Transportation reserves the sole right in determining the level position based on the applicant's work experience, education, skill level, and all other appropriate factors and based on business needs.", "outcomesObjectives" : "Keeps our roadways safe, strong, and ready for the future.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join our Alice Maintenance Team and put your skills to work! We’re looking for driven, safety‑focused professionals ready to step into impactful roles as Equipment Operator, Equipment Operator Specialist, or Equipment Operator Senior. You’ll operate and maintain powerful heavy equipment that keeps our roadways safe, strong, and ready for the future. If you’re dependable, motivated, and eager to make a difference every day, this is your moment—apply today and build your career with us! Annual Salary Range: Equipment Operator: (A18) $45,521 - $71,055 Equipment Operator Specialist: (A19) $48,244 - $76,028 Equipment Operator Senior: (A20) $51,158 - $81,351 The Texas Department of Transportation reserves the sole right in determining the level position based on the applicant's work experience, education, skill level, and all other appropriate factors and based on business needs. 45,521.00 81,351.00", "summaryDescription" : "Equipment Operator at Texas Department of Transportation. Skills: operate heavy equipment, maintain heavy equipment, safety-focused. Operate and maintain heavy equipment that keeps roadways safe and strong.", "createdAt" : "2026-06-14T21:52:16.560", "lastUpdated" : "2026-06-15T10:22:53.109", "ingestTimestamp" : "2026-06-14T21:52:16.560", "mongoId" : "69dde4492beec4dd3d9a328d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "operate heavy equipment", "maintain heavy equipment", "safety-focused, driven, dependable, motivated", "operate heavy equipment, maintain heavy equipment, safety-focused" ], "skillCount" : 4, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305860f292fd229cf41941", "title" : "Heavy Equipment Mechanic", "company" : "DiGeronimo Companies", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Heavy Equipment Mechanic in Cleveland, United States, adjusted for the construction industry." }, "location" : "Cleveland, OH", "locations" : [ "Cleveland", "OH", "Columbus", "OH", "Cincinnati", "OH", "Lexington", "KY", "Kentucky", "US" ], "timestamp" : "2026-06-16T05:30:44.797", "fingerprint" : "1044654470ed64dbe44f5753b3299ca28312e6274af6ed802b21d382691330a9", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://independence-excavating.breezy.hr/p/8b16fb8569d1-heavy-equipment-mechanic-independence-excavating", "externalId" : "8b16fb8569d1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cleveland", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.4996574,-81.6936772" } ], "locationText" : "Cleveland, Ohio, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Maintain heavy equipment, Perform repairs on heavy equipment, Diagnose equipment issues, Conduct preventative maintenance", "workSiteFlexibility" : "Onsite", "rawDescription" : "Heavy Equipment Mechanic With unparalleled expertise and cutting-edge technology, we", "summaryDescription" : "Heavy Equipment Mechanic at DiGeronimo Companies. Maintain heavy equipment. Perform repairs on heavy equipment", "createdAt" : "2026-06-15T22:10:57.836", "lastUpdated" : "2026-06-16T05:30:44.797", "ingestTimestamp" : "2026-06-15T22:10:57.836", "mongoId" : "6a305860f292fd229cf41941", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.9 }, { "id" : "68c2e422f8b1b0376634c545", "title" : "Senior Applied Scientist, Model Customization", "company" : "Amazon Web Services, Inc.", "industry" : "Machine Learning Science, Applied Science, Cloud Computing", "salary" : { "min" : 150400.0, "max" : 260000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T01:57:12.231", "fingerprint" : "d3abffc46e6be97b4ef52feda498b48dd2263ea6e78c176d54963428cbd6b4d3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077378/apply", "externalId" : "4b998cb3-9b83-4bac-9cb8-7da6d472cc09", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Large Language Model, Foundational Model, Generative AI", "professionalSkills" : [ "Model optimization", "Customer engagement", "Solution architecture", "Technical strategy" ], "hardSkillsList" : [ "Algorithms", "Data structures", "Numerical optimization", "Data mining", "Distributed computing", "High-performance computing", "Reinforcement learning", "Model tuning", "Model distillation", "Model compression", "Inference optimization" ], "hardSkills" : [ { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Numerical optimization", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Distributed computing", "level" : "intermediate" }, { "name" : "High-performance computing", "level" : "intermediate" }, { "name" : "Reinforcement learning", "level" : "intermediate" }, { "name" : "Model tuning", "level" : "intermediate" }, { "name" : "Model distillation", "level" : "intermediate" }, { "name" : "Model compression", "level" : "intermediate" }, { "name" : "Inference optimization", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Model Customization, Applied Science", "majorSkillsList" : [ "Generative AI", "Model Customization", "Applied Science" ], "coreResponsibilities" : "Research generative AI solutions, Design generative AI solutions, Develop generative AI solutions, Evaluate generative AI solutions, Interact with customers, Understand business problems, Implement generative AI solutions, Brief customers, Guide customers on adoption, Optimize customer solutions, Select models, Train models, Tune models, Right-size models, Distill models, Optimize hardware, Provide customer feedback, Provide market feedback, Design experiments, Run experiments, Research new algorithms, Optimize risk, Optimize profitability, Optimize customer experience, Design state-of-the-art solutions, Evangelize state-of-the-art solutions, Implement state-of-the-art solutions", "teamCollaboration" : "AI/ML scientists; Architects; Customers; Product teams; Engineering teams", "domainKnowledge" : "Generative AI; Large Language Models; Foundational Models; Model customization; Agentic workflows; Model optimization; Quantization; Distillation; Compression; Inference optimization", "domainList" : [ "generative-ai", "large-language-models", "foundational-models", "model-customization", "agentic-workflows", "model-optimization", "quantization", "distillation", "compression", "inference-optimization" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "Foundational Models", "Model customization", "Agentic workflows", "Model optimization", "Quantization", "Distillation", "Compression", "Inference optimization" ], "toolProficiency" : [ "trl", "verl", "LangChain", "LlamaIndex" ], "communicationSkills" : "Convey technical concepts", "innovationCreativity" : "Innovate in fast-paced organization; Game-changing projects; Game-changing technologies; New ways of optimizing", "problemSolvingSkills" : "Solve real world problems; Navigate technical challenges; Navigate business challenges; Identify technical problems; Frame technical problems; Solve scientifically-complex solutions", "outcomesObjectives" : "Realize transformational business opportunities; Create greatest value for businesses; Launch solutions at scale", "qualificationsBasic" : "PhD degree plus 5 years relevant experience, Master's degree plus 10 years relevant experience, 5+ years hands on Python experience, 5+ years algorithms and data structures experience, 5+ years parsing experience, 5+ years numerical optimization experience, 5+ years data mining experience, 5+ years parallel and distributed computing experience, 5+ years high-performance computing experience, 2+ years LLM post-training experience, 2+ years LLM continual pre-training experience, 2+ years LLM fine-tuning experience, 2+ years LLM reinforcement learning experience, 2+ years Foundational Model post-training experience, 2+ years Foundational Model continual pre-training experience, 2+ years Foundational Model fine-tuning experience, 2+ years Foundational Model reinforcement learning experience, Scientific publication track record", "qualificationsPreferred" : "LLM-powered agentic workflow experience, LLM-powered orchestration experience, LLM agent customization experience, Model optimization techniques experience, Quantization experience, Distillation experience, Compression experience, Inference optimization experience, Open-source frameworks experience, trl experience, verl experience, LangChain experience, LlamaIndex experience, Building LLM applications experience, Communication skills, Attention to detail, Convey technical concepts to non-experts, Identify and frame technical problems, Leading design implementation delivery, Mentoring other scientists", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an Applied Scientist, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production • Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization • Provide customer and market feedback to product and engineering teams to help define product direction Basic Qualifications: - PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, or Master’s degree plus 10 years of relevant work experience - 5+ years of hands on experience with Python to build, train, and evaluate models - 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques. - Scientific publication track record at top-tier AI/ML/NLP conferences or journals Preferred Qualifications: - Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization - Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.) - Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/ or similar tools - Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts - Demonstrated ability to identify and frame technical problems from broad product-level and business-level problem areas. - Track record of leading the design, implementation and delivery of scientifically-complex solutions that span multiple teams. - Experience driving scientific agenda and technical strategy in a team, including building consensus on technical approaches and mentoring other scientists to improve their technical capabilities. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Applied Scientist, Model Customization at Amazon Web Services, Inc.. Skills: Generative AI, Model Customization, Applied Science. Research generative AI solutions. Design generative AI solutions", "postedDate" : "2026-06-13T03:09:47.584", "createdAt" : "2026-06-13T03:09:47.584", "lastUpdated" : "2026-06-15T01:57:12.231", "ingestTimestamp" : "2026-06-13T03:09:47.584", "mongoId" : "68c2e422f8b1b0376634c545", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3077378/apply", "salaryAnnualMin" : 150400, "salaryAnnualMax" : 260000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Algorithms", "Data structures", "Numerical optimization", "Data mining", "Distributed computing", "High-performance computing", "Reinforcement learning", "Model tuning", "Model distillation", "Model compression", "Inference optimization", "Generative AI", "Model Customization", "Applied Science", "Model optimization", "Customer engagement", "Solution architecture", "Technical strategy", "Large Language Models", "Foundational Models", "Model customization", "Agentic workflows", "Quantization", "Distillation", "Compression", "trl", "verl", "LangChain", "LlamaIndex" ], "skillCount" : 29, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69dde4492beec4dd3d9a32d5", "title" : "Equipment Operator", "company" : "Texas Department of Transportation", "industry" : "Government", "salary" : { "min" : 45521.0, "max" : 71055.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Beaumont-Beaumont District Headquarters", "locations" : [ "UST-Texas-Beaumont-Beaumont District Headquarters", "Yearly", "Nonexempt,
Beaumont District Headquarters (20DISTHQ)
8350 EASTEX FREEWAY
Beaumont, 77708

, Beaumont District Headquarters" ], "certifications" : [ "Class A CDL" ], "timestamp" : "2026-06-16T02:03:28.434", "fingerprint" : "9a2070777d8f024b1ba0dcb7effe872cae00101eac3a9eacd7fea1b48cb5f0a2", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43787", "externalId" : "43787", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beaumont", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.0829344,-94.0984277" } ], "locationText" : "Beaumont, Texas, United States", "employmentType" : "FULL_TIME", "hardSkillsList" : [ "Operating construction equipment" ], "hardSkills" : [ { "name" : "Operating construction equipment", "level" : "intermediate" } ], "majorSkills" : "Heavy machinery operation", "majorSkillsList" : [ "Heavy machinery operation" ], "coreResponsibilities" : "Operate heavy machinery, Support road maintenance projects, Support construction projects", "domainKnowledge" : "Transportation infrastructure", "domainList" : [ "transportation-infrastructure" ], "domainSpecificKnowledge" : [ "Transportation infrastructure" ], "qualificationsBasic" : "Valid Class A CDL, Meet experience requirements", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Texas Department of Transportation (TxDOT) Beaumont District is looking for a skilled and dedicated Equipment Operator to join our Special Operations team in District Maintenance. In this role, you will be responsible for operating a variety of heavy machinery to support vital road maintenance and construction projects that ensure the safety and quality of our transportation infrastructure. If you have a strong work ethic, experience with operating construction equipment, and a passion for keeping Texas roads in top condition, we invite you to apply and become a key player in our mission to improve and maintain the state’s transportation network. To qualify for this role you must currently possess a valid Class A CDL and meet the experience requirements as stated on the posting. Salary Range: Equipment Operator (A18): $45,521 - $71,055/yearly 45,521.00 71,055.00", "summaryDescription" : "Equipment Operator at Texas Department of Transportation. Skills: Heavy machinery operation. Operate heavy machinery. Support road maintenance projects", "createdAt" : "2026-06-14T20:42:33.245", "lastUpdated" : "2026-06-16T02:03:28.434", "ingestTimestamp" : "2026-06-14T20:42:33.245", "mongoId" : "69dde4492beec4dd3d9a32d5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45521, "salaryAnnualMax" : 71055, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Operating construction equipment", "Heavy machinery operation", "Transportation infrastructure", "Class A CDL" ], "skillCount" : 4, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c691174d8ee00a0905de8", "title" : "Equipment Supervisor", "company" : "T1 Energy", "industry" : "Operations", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Lead Equipment Supervisor in Dallas, United States, adjusted for mid-level experience and the manufacturing industry." }, "location" : "Dallas, TX", "locations" : [ "Dallas, TX" ], "timestamp" : "2026-06-16T03:49:03.293", "fingerprint" : "1fab29292772f6c678580fd52b824809ecaa86176e16e272cef7f5d99e2f6669", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/t1energy/d07ff407-9dde-44d4-847b-c9c9667afe0c/application", "externalId" : "d07ff407-9dde-44d4-847b-c9c9667afe0c", "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" : "Associate's", "experienceMinYears" : 3, "experienceMaxYears" : 6, "experienceLevel" : "Mid", "coreResponsibilities" : "Supervise equipment operations, Maintain equipment, Ensure safety compliance, Manage inventory, Coordinate maintenance schedules, Train staff on equipment usage, Troubleshoot equipment issues, Prepare operational reports", "teamCollaboration" : "Cross-functional teams; External vendors", "communicationSkills" : "Report writing", "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "3-6 years of experience, Associate's degree", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "T1 Energy is bringing solar manufacturing back to the U.S. by building a domestic solar supply chain. Our mission is to invigorate America with scalable, reliable, and low-cost energy. Our fully operational 5GW solar module facility in Wilmer, Texas, can manufacture more than 20,000 modules every 24 hours. By the time you finish reading this paragraph, we will have produced two solar panels that will power American homes and fuel domestic AI. We're focused on building advanced American manufacturing and we're passionate about engineering a better future filled with abundant energy. The Role T1 Energy is looking to hire an Equipment Supervisor who is responsible for overseeing day-to-day maintenance and equipment support activities within a 24/7 manufacturing environment. This role supports the performance and reliability of production equipment by leading maintenance technicians and ensuring safe, timely, and effective execution of preventive and corrective maintenance tasks. Reporting to the Equipment Manager, the Equipment Supervisor focuses on shift-level execution, work order management, safety compliance (including LOTO), and team coordination. The ideal candidate is a hands-on leader who ensures accountability, maintains high safety standards, and drives continuous improvement in equipment uptime and maintenance discipline. What You'll Do Daily Maintenance Execution - Supervise and coordinate maintenance activities across assigned shifts. Ensure timely response to equipment breakdowns to minimize production downtime. CMMS & Work Order Management - Ensure accurate use of the CMMS. Review, assign, and close work orders with proper documentation. Monitor preventive maintenance compliance and backlog control. Equipment Reliability Support - Support preventive and predictive maintenance programs. Track downtime trends and participate in root cause analysis. Safety & LOTO Governance - Promote a safety-first culture. Ensure compliance with OSHA standards and enforce Lockout/Tagout (LOTO) procedures. Support LOTO audits and training initiatives. Team Leadership & Development - Recruit, coach, and support maintenance technicians. Provide troubleshooting guidance and ensure accountability for performance and attendance. Performance Management & KPI Ownership - Monitor and report KPIs including OEE, downtime, MTBF, MTTR, maintenance cost, PM compliance, and backlog. Drive improvements using root cause analysis and reliability tools. Spare Parts & Inventory Strategy - Monitor spare parts usage and support inventory accuracy. Performance Monitoring - Track downtime, response times, and preventive maintenance completion. Provide performance updates to the Equipment Manager. Cross-Functional Collaboration - Partner with EHS, Production, Engineering, and Quality to align maintenance activities with operational and production goals. Who You Are - Maintenance Supervision - CMMS & Work Order Management - Preventive Maintenance Execution - Lockout/Tagout (LOTO) Compliance - Equipment Troubleshooting Support - Shift Leadership - Team Coaching & Accountability - Basic Root Cause Analysis - Safety Awareness & Enforcement - Communication & Coordination Skills Qualifications - Associate degree or technical certification in Mechanical, Electrical, Mechatronics, or related field preferred - 3–6 years of experience in maintenance or equipment support within a manufacturing environment - Prior experience in a lead or supervisory role preferred - Experience working in 24/7 or shift-based operations - Familiarity with CMMS systems - Strong understanding of LOTO and safe maintenance practices - Experience supporting automated manufacturing equipment preferred - Experience with PLC and Robots such as ABB, Stäubli, etc. - Certifications (Preferred) - Certified Maintenance & Reliability Professional (CMRP) - Lean Six Sigma Green Belt or higher - OSHA Certifications related to maintenance and reliability The T1 Way We move fast, expect accountability, and treat people with respect. We also have a no-jerks policy: we don't tolerate big egos, bad behavior or \"that's not my job attitude\". Be sharp, be honest, be human. If you can hold the line and have a sense of humor, you'll fit right in. T1 Energy is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants and do not discriminate on the basis of any legally protected characteristics.", "summaryDescription" : "Equipment Supervisor at T1 Energy. Supervise equipment operations. Maintain equipment", "createdAt" : "2026-06-14T20:16:59.832", "lastUpdated" : "2026-06-16T03:49:03.293", "ingestTimestamp" : "2026-06-14T20:16:59.832", "mongoId" : "6a2c691174d8ee00a0905de8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c691174d8ee00a0905dce", "title" : "Equipment Specialist", "company" : "T1 Energy", "industry" : "Operations", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Equipment Specialist in Dallas, United States, adjusted for industry and company size." }, "location" : "Dallas, TX", "locations" : [ "Dallas, TX" ], "timestamp" : "2026-06-16T02:03:24.422", "fingerprint" : "65ab0abcf0a691f57eeca8d0bc5d0ac6cca691fd908f2440ace49686384c1d06", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/t1energy/9a6a2788-600c-4504-9f05-17bf1ce30877/application", "externalId" : "9a6a2788-600c-4504-9f05-17bf1ce30877", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "T1 Energy is bringing solar manufacturing back to the U.S. by building a domestic solar supply chain. Our mission is to invigorate America with scalable, reliable, and low-cost energy. Our fully operational 5GW solar module facility in Wilmer, Texas, can manufacture more than 20,000 modules every 24 hours. By the time you finish reading this paragraph, we will have produced two solar panels that will power American homes and fuel domestic AI. We're focused on building advanced American manufacturing and we're passionate about engineering a better future filled with abundant energy. The Equipment Specialist is a senior-level technical role responsible for maximizing the efficiency, reliability, and technical health of advanced production equipment and automated systems within a high-volume manufacturing environment. Operating as a subject matter expert (SME), this individual focuses on complex troubleshooting, predictive maintenance design, and advanced automation engineering—specifically overseeing the plant’s Automated Guided Vehicle (AGV) robotics fleet. While this role does not have direct supervisory or shift-leading responsibilities, it requires a high level of independent problem-solving, technical mentorship of junior technicians, and heavy collaboration with engineering teams. Primary Job Responsibilities - Advanced Equipment Diagnostics: Independently isolate, troubleshoot, and resolve highly complex, systemic electrical, mechanical, and pneumatic malfunctions on the manufacturing line with minimal supervision. - AGV Robotics Fleet Ownership: Serve as the technical expert for factory Automated Guided Vehicles (AGVs). Troubleshoot navigation systems, laser scanners, sensor arrays, fleet management software communications, and mechanical/electrical drive units. - Training & Technical Mentorship: Lead the technical skill development of junior technicians and production operators; create training materials regarding equipment mechanics, robotics handling, and precision tool operation. - Predictive Maintenance Engineering: Design, refine, and optimize predictive and preventative maintenance (PM) standards for production equipment, robotics, and integrated factory automation systems. - Data Analytics & CMMS Tracking: Generate and analyze machine data using MS Excel and CMMS platforms to track equipment utilization, pinpoint recurring failure modes, and provide actionable reporting to engineering leadership. - Equipment Improvements & Special Projects: Lead technical modifications, upgrades, and optimization projects for existing hardware; assist engineering during new line equipment installation and precision alignment using hoists, micrometers, and plumb bobs. - Safety & Standards Compliance: Act as a technical safety champion, ensuring all specialized repairs, calibrations, and component fabrications strictly adhere to electrical codes, mechanical standards, and safety operation rules. Technical & Systemic Responsibilities - Controls & Automation Systems: Navigate and manipulate complex factory control systems and PLCs to clear faults, pull system data, track metrics, and identify hidden operational bottlenecks. - Facilities Infrastructure Support: Support facility infrastructure systems (such as industrial air compressors, chillers, vacuum pumps, and HVAC) by utilizing specialized knowledge to assist in power recovery or emergency troubleshooting protocols. - Precision Component Rebuilding: Diagnose complex AC/DC circuitry, safely replace intricate components, and perform precision manual rebuilds of vital mechanical assemblies. - Routine Systems Testing: Conduct advanced, mandatory regulatory and preventative testing on critical hardware, including robotic drives, automated safety gates, and material transport mechanisms. Qualifications • Education: Associate degree or higher in a technical discipline (Machinery, Electronics, Mechatronics, Automation, or Engineering Technology) is required. • Experience: * Minimum of 4+ years of industrial maintenance experience in high-volume manufacturing (Photovoltaics/Solar or Semiconductor industries are highly preferred). Proven hands-on experience troubleshooting and maintaining AGVs or advanced robotics systems (fanuc, kuka, automated logistics carts, etc.). • Technical Skills: Exceptional, high-level troubleshooting skills across complex high/low voltage electrical systems ($>480\\text{V}$), mechatronics, and advanced automation components. Strong working knowledge of pneumatic logic, hydraulics, and precision inspection/test equipment. Proficient in safe operation of articulating aerial lifts and handling precision bench tools. • Software & Communication: Solid proficiency in data tracking tools (MS Excel, Word) and advanced experience utilizing CMMS platforms to log and track parts/assets. Excellent verbal and written technical communication skills for drafting data-driven updates to site leadership and engineers. • Attributes: Dedicated, highly analytical, and able to work well under pressure to minimize manufacturing line downtime. Able to work independently and adapt to shift rotations as production needs shift. Physical Requirements - Mobility: Ability to perform repetitive movements (climbing ladders/stairways, reaching, bending, stooping, pushing/pulling parts) and remain physically active for the entirety of a 12-hour shift. - Stationary Work: Frequently remains stationary up to 75% of the time depending on data analysis, system monitoring, or specialized software calibration. - Lifting: Ability to lift up to 50 lbs based on the needs of the role, and occasionally assist with team lifts of heavy machinery or AGV components. - Sensory: Frequent use of sight and hearing to detect equipment irregularities, analyze digital interfaces/testing equipment, and safely operate machinery around active AGV tracks. - Communication: Constantly communicates and exchanges accurate technical information with coworkers, safety personnel, and automation engineers. The T1 Way We move fast, expect accountability, and treat people with respect. We also have a no-jerks policy: we don't tolerate big egos, bad behavior or \"that's not my job attitude\". Be sharp, be honest, be human. If you can hold the line and have a sense of humor, you'll fit right in. T1 Energy is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants and do not discriminate on the basis of any legally protected characteristics.", "summaryDescription" : "Equipment Specialist at T1 Energy", "createdAt" : "2026-06-14T20:12:41.493", "lastUpdated" : "2026-06-16T02:03:24.422", "ingestTimestamp" : "2026-06-14T20:12:41.493", "mongoId" : "6a2c691174d8ee00a0905dce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8c8274d8ee00a0975ae9", "title" : "Senior Manager, Ecommerce - Accessories & Apparel", "company" : "WHOOP", "industry" : "Accessories & Apparel", "salary" : { "min" : 130000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "timestamp" : "2026-06-16T01:56:29.245", "fingerprint" : "cf94ff399ebef5b86897b3bd9fb9c0e732748197cb942f529f7f2566d48fe1ac", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/whoop/79b81882-c02c-43df-b5e3-09bb002d82f5/application", "externalId" : "79b81882-c02c-43df-b5e3-09bb002d82f5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Sales strategy", "Revenue growth", "P&L management", "Market analysis", "Product lifecycle", "Brand management", "Merchandising", "Forecasting", "Budgeting", "Vendor management", "Cross-functional leadership" ], "hardSkillsList" : [ "Sales forecasting", "Budget management", "P&L responsibility" ], "hardSkills" : [ { "name" : "Sales forecasting", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" }, { "name" : "P&L responsibility", "level" : "intermediate" } ], "majorSkills" : "E-commerce strategy, Revenue generation, Team leadership", "majorSkillsList" : [ "E-commerce strategy", "Revenue generation", "Team leadership" ], "coreResponsibilities" : "Develop and execute e-commerce strategies, Drive revenue growth and profitability, Manage P&L for the e-commerce channel, Oversee product lifecycle management, Develop and manage merchandising plans, Lead and mentor the e-commerce team, Collaborate with cross-functional teams, Analyze market trends and competitor activities, Manage vendor relationships, Develop and manage e-commerce budgets, Optimize website performance and user experience, Ensure brand consistency across all platforms, Develop sales forecasts and performance metrics", "teamCollaboration" : "Cross-functional teams; Marketing; Product development; Operations; Finance", "domainKnowledge" : "E-commerce operations; Apparel industry; Accessories market", "domainList" : [ "e-commerce-operations", "apparel-industry", "accessories-market" ], "domainSpecificKnowledge" : [ "E-commerce operations", "Apparel industry", "Accessories market" ], "communicationSkills" : "Executive presentations", "problemSolvingSkills" : "Market analysis; Sales forecasting", "outcomesObjectives" : "Achieve sales targets; Increase market share; Improve customer acquisition; Enhance customer retention; Optimize conversion rates; Manage budget effectively", "qualificationsBasic" : "8+ years of experience in e-commerce, 5+ years of experience in a management role, Bachelor's degree", "qualificationsPreferred" : "MBA or Master's degree", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At WHOOP, we’re on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at their peak through data-driven insights, premium hardware, and high-quality accessories and apparel designed to integrate seamlessly into daily life. We’re seeking a Senior Ecommerce Manager, Accessories & Apparel to lead the ecommerce strategy and execution for WHOOP’s accessories and apparel business. This role owns the commercial performance, merchandising strategy, and digital experience for shop.whoop.com http://shop.whoop.com, while influencing how accessories are represented across the WHOOP eco-system. As a senior leader, you will create the ecommerce roadmap for accessories and apparel, connect strategy to execution, and partner closely with Growth, Engineering, Product Marketing, Creative, and Operations to drive growth and elevate the e-commerce experience. This position will be based in WHOOP Headquarters in Boston, MA. RESPONSIBILITIES: - - Create and own the end-to-end ecommerce strategy and roadmap for accessories and apparel, driving sales through shop.whoop.com http://shop.whoop.com. - Oversee site merchandising, promotional strategy, and content planning for seasonal assortments, launches, and campaigns. - Build and execute a strategy to achieve KPIs for the accessories and apparel ecommerce business, including revenue, conversion, AOV, and product performance. - Partner cross-functionally with accessories and apparel Product Creation, Growth Product Management and Engineering, Creative, Operations to bring products to market effectively and on time. - Influence the accessories experience on join.whoop.com http://join.whoop.com, ensuring alignment between membership acquisition flows and accessory merchandising. - Use data, testing, and experimentation to optimize the onsite experience and inform assortment, storytelling, and merchandising decisions. - Facilitate cross-functional decision-making and influence upstream strategy related to accessories and apparel growth. QUALIFICATIONS: - - 8+ years of experience in ecommerce, digital commerce, or related roles, with a strong preference for apparel, accessories, or consumer goods. - Proven experience owning ecommerce performance and merchandising strategy for a DTC business. - Demonstrated ability to lead cross-functional initiatives and influence senior stakeholders without direct ownership. - Strong analytical skills and comfort translating insights into clear actions and measurable outcomes. - Experience managing and developing team members and/or managers. - Ability to operate at both strategic and executional levels in a fast-paced environment. Interested in the role but don’t meet every qualification? We encourage you to apply! At WHOOP, we value potential, character, and curiosity as much as experience. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $130,000 - $170,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. ", "summaryDescription" : "Senior Manager, Ecommerce - Accessories & Apparel at WHOOP. Skills: E-commerce strategy, Revenue generation, Team leadership. Develop and execute e-commerce strategies. Drive revenue growth and profitability", "createdAt" : "2026-06-14T20:11:50.826", "lastUpdated" : "2026-06-16T01:56:29.245", "ingestTimestamp" : "2026-06-14T20:11:50.826", "mongoId" : "6a2c8c8274d8ee00a0975ae9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 170000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Sales forecasting", "Budget management", "P&L responsibility", "E-commerce strategy", "Revenue generation", "Team leadership", "Sales strategy", "Revenue growth", "P&L management", "Market analysis", "Product lifecycle", "Brand management", "Merchandising", "Forecasting", "Budgeting", "Vendor management", "Cross-functional leadership", "E-commerce operations", "Apparel industry", "Accessories market" ], "skillCount" : 20, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8c8274d8ee00a0975afa", "title" : "Designer, Lead (Accessories & Apparel)", "company" : "WHOOP", "industry" : "Accessories & Apparel", "salary" : { "min" : 100000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "timestamp" : "2026-06-15T05:25:17.382", "fingerprint" : "0e27bdfa249f882153e85eabdcd36b6c4fe63ecef23e5ebe76bc3dc00d407b9f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/whoop/38c278dc-880f-4a3d-8474-b02fd1f35283/application", "externalId" : "38c278dc-880f-4a3d-8474-b02fd1f35283", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Adobe Illustrator, Adobe Photoshop, KeyShot, Blender", "professionalSkills" : [ "Graphic design", "Product visualization", "Surface design", "Visual design", "Design systems", "Creative execution", "Operational rigor", "Color systems", "Design specifications" ], "hardSkillsList" : [ "Pattern design", "Color development" ], "hardSkills" : [ { "name" : "Pattern design", "level" : "intermediate" }, { "name" : "Color development", "level" : "intermediate" } ], "majorSkills" : "Graphic design, Product visualization, Surface design, Color systems", "majorSkillsList" : [ "Graphic design", "Product visualization", "Surface design", "Color systems" ], "coreResponsibilities" : "Execute graphic pattern surface design, Contribute seasonal storytelling, Develop visual concepts graphics, Support creation seasonal color palettes, Define color direction, Develop apply color across band materials, Create site-ready product renderings, Maintain organize design files, Maintain organize rendering assets, Maintain organize color systems, Maintain organize documentation, Partner Creative Direction, Partner Industrial Design, Partner Engineering, Define design intent, Provide clear design specifications, Collaborate Supply Chain Management, Ensure design quality standards", "teamCollaboration" : "Partnering cross-functionally; Collaborate with Supply Chain; Feedback from design partners; Feedback from product partners; Feedback from engineering partners", "domainKnowledge" : "Consumer products; Wearables; Physical products", "domainList" : [ "consumer-products", "wearables", "physical-products" ], "domainSpecificKnowledge" : [ "Consumer products", "Wearables", "Physical products" ], "toolProficiency" : [ "Adobe Creative Suite", "KeyShot", "Blender" ], "qualificationsBasic" : "5+ years experience graphic design, 5+ years experience product visualization, 5+ years experience surface design, Consumer products experience, Wearables experience, Portfolio demonstrating product-focused design, Proficiency Adobe Creative Suite, Proficiency rendering tools, Experience creating high-quality product renderings, Familiarity color materials production, Highly organized attention detail, Ability manage multiple projects, Comfortable working cross-functionally, Systems-oriented mindset, Interest improving processes, Interest creating structure, Commitment embracing AI tools", "qualificationsPreferred" : "KeyShot proficiency, Blender proficiency", "rawDescription" : "At WHOOP, we’re on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at their peak through data-driven insights, premium hardware, and high-quality accessories and apparel designed to integrate seamlessly into daily life. WHOOP is hiring a Designer, Lead (Accessories & Apparel) to help shape and scale the visual design of WHOOP bands & accessories. This role blends creative execution with strong operational rigor, focused on developing graphics, color systems, and high-quality, site-ready product renderings used across WHOOP digital experiences. You will play a key role in elevating the visual expression of the product while refining the processes that ensure consistency across product lines, partnering cross-functionally to deliver thoughtful, well-crafted design from concept through production. Responsibilities: - - Execute graphic, pattern, and surface design across WHOOP bands, apparel, and accessories ensuring alignment with brand and product direction - Contribute to seasonal storytelling by developing visual concepts, graphics, and design details that support broader product narratives - Support the creation of seasonal color palettes, helping define color direction and ensuring consistency across materials and product offerings - Develop and apply color across band materials, maintaining accuracy and cohesion from concept through production - Create high-quality, accurate, site-ready product renderings for shop.whoop.com, ensuring excellence in lighting, materials, and detail - Maintain and organize design files, rendering assets, color systems, and documentation to ensure clarity and consistency across teams - Partner with Creative Direction, Industrial Design, and Engineering to define design intent and provide clear design specifications. Collaborate with Supply Chain Management to ensure design quality standards are achieved in production - Identify and improve workflows, tools, and systems to increase efficiency and reduce friction across the design and development lifecycle Qualifications: - - 5+ years of experience in graphic design, product visualization, or surface design within consumer products or wearables - Strong portfolio demonstrating product-focused design work, including graphic design, pattern, color, and rendering capabilities - Proficiency in Adobe Creative Suite (Illustrator, Photoshop) and rendering tools such as KeyShot, Blender, or similar - Experience creating high-quality product renderings with strong attention to detail, lighting, and material accuracy - Familiarity with color, materials, and production processes for physical products - Highly organized with strong attention to detail and ability to manage multiple projects simultaneously - Comfortable working cross-functionally and incorporating feedback from design, product, and engineering partners - Systems-oriented mindset with an interest in improving processes and creating structure - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $100,000 - $150,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.", "summaryDescription" : "Designer, Lead (Accessories & Apparel) at WHOOP. Skills: Graphic design, Product visualization, Surface design, Color systems. Execute graphic pattern surface design. Contribute seasonal storytelling", "createdAt" : "2026-06-14T04:31:10.328", "lastUpdated" : "2026-06-15T05:25:17.382", "ingestTimestamp" : "2026-06-14T04:31:10.328", "mongoId" : "6a2c8c8274d8ee00a0975afa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Pattern design", "Color development", "Graphic design", "Product visualization", "Surface design", "Color systems", "Visual design", "Design systems", "Creative execution", "Operational rigor", "Design specifications", "Consumer products", "Wearables", "Physical products", "Adobe Creative Suite", "KeyShot", "Blender" ], "skillCount" : 17, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a309c90f292fd229c0fbd54", "title" : "Technical Customer Support Specialist", "company" : "Higher Logic", "industry" : "SaaS", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Technical Customer Support Specialist in Australia, adjusted for mid-seniority and the SaaS industry." }, "location" : "Australia-Remote", "locations" : [ "Australia-Remote", "US-Remote" ], "timestamp" : "2026-06-16T12:40:03.745", "fingerprint" : "553d091dc009a92840671980bab97252fc89c08f32f9ee3654c4600eebc86dcb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/higherlogic/jobs/7767441003", "externalId" : "7767441003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Australia", "continent" : "oc", "workMode" : "remote" } ], "locationText" : "Australia", "experienceMinYears" : 2, "experienceMaxYears" : 5, "technicalSkills" : "HTML, CSS, Zendesk, Salesforce, Jira, Confluence", "professionalSkills" : [ "Troubleshooting", "Customer service", "Prioritization", "Triaging" ], "majorSkills" : "Customer support, Technical support, Troubleshooting", "majorSkillsList" : [ "Customer support", "Technical support", "Troubleshooting" ], "coreResponsibilities" : "Resolve customer technical issues, Communicate with customers on issue status, Document customer interactions, Develop and hone customer service skills, Develop and hone troubleshooting skills, Develop and hone product knowledge, Build positive working relationships, Foster positive working relationships, Escalate customer tickets to other teams, Coordinate phone calls with customers, Coordinate virtual sessions with customers, Meet performance metrics, Exceed performance metrics, Conduct business in accordance with policies", "teamCollaboration" : "Across the team; Across the company", "domainKnowledge" : "Higher Logic Product Suite", "domainList" : [ "higher-logic-product-suite" ], "domainSpecificKnowledge" : [ "Higher Logic Product Suite" ], "toolProficiency" : [ "Support ticketing system" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Document customer interactions", "continuousLearning" : "Continually develop skills; Continually develop product knowledge", "problemSolvingSkills" : "Troubleshooting skills", "outcomesObjectives" : "Meet or exceed productivity metrics; Meet or exceed quality metrics; Meet or exceed customer experience metrics", "qualificationsBasic" : "Basic understanding of Higher Logic’s Product Suite, Critical thinking and troubleshooting skills, Excellent verbal and written communication skills, Exceptional customer service skills, Effective prioritization and triaging skills, Basic understanding or willingness to learn HTML & CSS, Basic knowledge or willingness to learn standard web technologies", "qualificationsPreferred" : "2 years of technical customer service experience, SaaS environment experience, Technical background or expertise, Experience with CRM, Experience with Jira/Confluence", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "JOB SUMMARY The Customer Support Specialist’s primary responsibility is to help our customers successfully use Higher Logic’s software solutions. This role provides outstanding technical support and customer service through multiple support channels (phone, case, chat, etc.) to customers ranging from small businesses to large enterprises. As a customer facing role, the Customer Support Specialist must possess strong service and communication skills and is an expert troubleshooter with a passion for helping customers. This position will assist Australia based customers. The work hours will be between 11AM-7:30PM PT (2PM-10:30PM ET) ESSENTIAL DUTIES AND RESPONSIBILITES: Resolve customer technical issues effectively and efficiently through multiple support channels Communicate with customers professionally and consistently on issue status and resolution Document customer interactions using our support ticketing system to capture issue type, status, relevant customer notes and resolution Continually develop and hone customers service & troubleshooting skills and Higher Logic product knowledge Build and foster positive working relationships across the team and company As required and as per internal SLAs, escalate customer tickets to other teams needed to resolve customer issues (within CX, Product, Engineering, Sales and Finance) As needed, coordinate phone calls or virtual sessions with customers to troubleshoot effectively Meet or exceed performance metrics around productivity, quality of work and overall customer experience as agreed upon with manager Conduct all business in accordance with Higher Logic policies and procedures. All other duties as assigned KNOWLEDGE AND ABILITIES REQUIRED: Basic understanding of or a willingness to learn Higher Logic’s Product Suite Critical thinking and troubleshooting skills Excellent verbal and written communication skills Exceptional customer service skills Effective prioritization and triaging skills to manage multiple customer inquiries Basic understanding or willingness to learn HTML & CSS Basic knowledge or a willingness to learn standard web technologies, browsers and web applications EXPERIENCE DESIRED: Typically requires a minimum of 2 years of technical customer service experience, preferably in a SaaS environment Typical range for the role overall is 0-5 years. Technical background or expertise either through experience, self-led learning or certifications/degrees Retail, hospitality or restaurant experience providing customer service Experience working in a customer service or contact center environment Experience with CRM (Zendesk or Salesforce), Jira/Confluence To protect yourself against the increasing number of recruiting scams, please make sure that you are communicating with Higher Logic. We communicate through our corporate website at Higher Logic and through corporate emails utilizing our domain name of @higherlogic.com. Be vigilant when checking domains because imitators often make very small changes to trick the eye. Additionally, please know that Higher Logic does not use text messaging or public messaging platforms, such as Telegram or Whatsapp, to make initial contact with candidates and Higher Logic will never ask an employment candidate for financial information or for payment of any kind. Higher Logic does not accept agency or candidate sourcing solicitations emails or phone calls, nor do we pay agency fees for our posted positions", "summaryDescription" : "Technical Customer Support Specialist at Higher Logic. Skills: Customer support, Technical support, Troubleshooting. Resolve customer technical issues. Communicate with customers on issue status", "postedDate" : "2026-06-16T03:15:54.799", "createdAt" : "2026-06-16T03:15:54.799", "lastUpdated" : "2026-06-16T12:40:03.745", "ingestTimestamp" : "2026-06-16T03:15:54.799", "mongoId" : "6a309c90f292fd229c0fbd54", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Customer support", "Technical support", "Troubleshooting", "Customer service", "Prioritization", "Triaging", "Higher Logic Product Suite", "Support ticketing system" ], "skillCount" : 8, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2ca55f74d8ee00a09b60c9", "title" : "Sales In-Training and Truck Team", "company" : "1-800-GOT-JUNK?", "industry" : "Logistics", "salary" : { "min" : 15.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Longmont, Colorado, United States", "locations" : [ "Longmont", "Colorado", "United States" ], "timestamp" : "2026-06-16T01:04:00.308", "fingerprint" : "0a170ed7190a072c85e0f1f55dd11a5d33ec6a35b8a7abdad03af38c1126e52f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/1800gotjunk/jobs/4277796009", "externalId" : "4277796009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Longmont", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.1672117,-105.1019280" } ], "locationText" : "Longmont, Colorado, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Sales skills", "Customer service", "Negotiation pricing", "Relationship building" ], "hardSkillsList" : [ "Pricing jobs", "Closing sales", "Overcoming objections" ], "softSkillsList" : [ "Confidence", "Energy" ], "hardSkills" : [ { "name" : "Pricing jobs", "level" : "intermediate" }, { "name" : "Closing sales", "level" : "intermediate" }, { "name" : "Overcoming objections", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Confidence" }, { "name" : "Energy" } ], "majorSkills" : "Sales, Customer service, Closing", "majorSkillsList" : [ "Sales", "Customer service", "Closing" ], "coreResponsibilities" : "Provide on-site estimates, Confidently close sales, Build trust with customers, Remove unwanted items, Work efficiently with a team, Complete daily routes, Deliver WOW-level customer service, Lift, carry, load, and maneuver items, Keep trucks clean, Keep trucks organized, Keep trucks professional, Represent the brand", "teamCollaboration" : "Work with a team", "domainKnowledge" : "Junk removal", "domainList" : [ "junk-removal" ], "domainSpecificKnowledge" : [ "Junk removal" ], "communicationSkills" : "Customer communication", "continuousLearning" : "Paid training", "problemSolvingSkills" : "Overcome objections", "specialRequirements" : "Lift 70–85+ lbs repeatedly, Weekend availability required, Team-oriented attitude", "qualificationsBasic" : "21+ years old, Valid driver's license, Reliable transportation, Weekend availability", "qualificationsPreferred" : "No junk removal experience needed", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ready to build a high-energy career where every day is different? Join our Field Sales & Service Team and help us deliver exceptional customer moments and powerful service experiences. We're Southwind— the highest-performing 1-800-GOT-JUNK? franchise group — built on integrity, accountability, and investing in people. Sales In-Training/ Truck Team 1-800-GOT-JUNK? Location: Longmont, CO Pay: $25–$30+/hour (Profit Share + Tips + $15.50/hr) Job Type: Full-Time Are you interested in getting into sales, but don’t know where to start? At 1-800-GOT-JUNK?, we train people from the ground up. This is a unique opportunity to develop real-world sales skills in a fast-paced, active environment. Our customers called us because they need help solving a problem, and they have already decided to spend money to fix that problem. Your job is to build trust, create a great experience, confidently price the job, and close the sale on-site. You will learn how to communicate with customers, overcome objections, negotiate pricing, and deliver excellent service, all while staying active and working with a high-energy team. What You’ll Do: Provide on-site estimates and confidently close sales Build trust with customers through strong communication and professionalism Remove unwanted items from homes and businesses Work efficiently with a team to complete daily routes Deliver WOW-level customer service on every job Lift, carry, load, and maneuver items throughout the day Keep trucks clean, organized, and professional Represent the brand with energy, integrity, and professionalism It is one of the best ways to build foundational sales skills: Communication Negotiation Confidence Customer psychology Relationship-building Closing Many of our top performers go on to leadership, operations, recruiting, or higher-level sales roles. Requirements: Must be 21+ years old Valid driver’s license required Ability to lift 70–85+ lbs repeatedly Weekend availability required Reliable transportation Team-oriented attitude No junk removal experience needed. We train you. Schedule: 4–5 shifts per week 8–10 hour shifts Weekend availability required Typical start times are 7am or 12pm depending on business needs Pay & Benefits: Hourly base pay Tips Uncapped profit share & performance incentives Overtime opportunities Paid training Flexible scheduling options Advancement opportunities Full benefits package including Medical, Dental, and Vision Retirement options Fun, energetic team environment Growth Opportunities: We promote from within whenever possible. Advancement pathways may include: Certified Sales Lead Operations Lead People Development Lead Senior Sales Director of Operations Director of People Development General Manager Why Join Us? At Southwind and 1-800-GOT-JUNK?, we believe: “Anything is possible. Invest in people. Change the world.” This is more than a labor job. It is an opportunity to build confidence, communication skills, sales experience, and leadership abilities while earning strong money in a fast-paced environment where no two days are the same. If you are competitive, outgoing, hardworking, and ready to grow, we want to meet you. Apply Today! Start your career with 1-800-GOT-JUNK? and join a team that helps people every single day. Southwind encourages team members to lead with innovation and purpose. We're a company built on integrity, teamwork, and ongoing development. Join us and help redefine home services. Apply Now!", "summaryDescription" : "Sales In-Training and Truck Team at 1-800-GOT-JUNK?. Skills: Sales, Customer service, Closing. Provide on-site estimates. Confidently close sales", "postedDate" : "2026-06-14T19:17:43.494", "createdAt" : "2026-06-14T19:17:43.494", "lastUpdated" : "2026-06-16T01:04:00.308", "ingestTimestamp" : "2026-06-14T19:17:43.494", "mongoId" : "6a2ca55f74d8ee00a09b60c9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31200, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Pricing jobs", "Closing sales", "Overcoming objections", "Confidence", "Energy", "Sales", "Customer service", "Closing", "Sales skills", "Negotiation pricing", "Relationship building", "Junk removal" ], "skillCount" : 12, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Services", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde4492beec4dd3d9a324f", "title" : "Equipment Operator, Equipment Operator Specialist, or Senior Equipment Operator", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 45521.0, "max" : 81351.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Sweetwater-Nolan County Maint Section", "locations" : [ "UST-Texas-Sweetwater-Nolan County Maint Section", "Yearly", "Nonexempt,
Nolan County Maint Section (08NOLANCO)
7526 N IH 20
IH 20 N FR 1.7 MILE E OF BS 70G
Sweetwater, 79556

, Nolan County Maint Section" ], "timestamp" : "2026-06-16T01:00:43.555", "fingerprint" : "81f4eac0975f103c569d6642dda190ded5cf6f200866b8735ec3d6d0c8cff734", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43766", "externalId" : "43766", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sweetwater", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.4709519,-100.4059380" } ], "locationText" : "Sweetwater, Texas, United States", "employmentType" : "FULL_TIME", "continuousLearning" : "Career development programs; Tuition assistance", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "TxDOT’s Nolan County in the Abilene District is looking for an Equipment Operator. If you are looking to build a career, you have come to the right place! At TxDOT we strive to achieve a work-life balance and recognize the importance of your career as well as your home life. We offer a wide array of programs and activities including compressed work schedules, wellness leave incentive, career development programs, tuition assistance and many other benefits. Salary Plan/Grade: • Equipment Operator: A18 ($45,521.00 - $71,055.00/yearly) • Equipment Operator Specialist: A19 ($48,244.00 - $76,028.00/yearly) • Equipment Operator Senior: A20 ($51,158.00 - $81,351.00/yearly) 45,521.00 81,351.00", "summaryDescription" : "Equipment Operator, Equipment Operator Specialist, or Senior Equipment Operator at TxDOT", "createdAt" : "2026-06-14T20:42:29.829", "lastUpdated" : "2026-06-16T01:00:43.555", "ingestTimestamp" : "2026-06-14T20:42:29.829", "mongoId" : "69dde4492beec4dd3d9a324f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45521, "salaryAnnualMax" : 81351, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c923574d8ee00a09852bd", "title" : "Equipment Operator", "company" : "SanMar", "salary" : { "min" : 38000.0, "max" : 52000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Equipment Operator in Sparks, United States, adjusted for industry and company size." }, "location" : "Sparks, NV", "locations" : [ "Sparks", "NV" ], "timestamp" : "2026-06-15T23:12:54.496", "fingerprint" : "90c5e565796510109b6f5ae7159a5525a10b25c11f9b804859c1d056c7fbb120", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/sanmar/jobs/5162427007?gh_jid=5162427007", "externalId" : "5162427007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sparks", "state" : "Nevada", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.5404679,-119.7487235" } ], "locationText" : "Sparks, Nevada, United States", "minimumEducation" : "High School", "experienceMinYears" : 1, "experienceMaxYears" : 3, "coreResponsibilities" : "Operate equipment, Perform routine maintenance, Monitor equipment performance, Troubleshoot equipment issues, Maintain equipment logs, Ensure safety compliance, Operate machinery, Load and unload materials", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At SanMar, the work you do makes a difference. What's the Short Version? The Equipment Operator safely and efficiently locates product by using a radio frequency (RF) unit, manually loads cases of product into trailers, and transports product to various departments and/or locations by use of powered equipment. They process a portion of customer orders throughout the production day and restock product into bins. What Will You Be Doing? Operate powered lift equipment to move product and materials as assigned, using a radio frequency (RF) unit to scan movement of product, identify locations, etc. Hand load, unload, move, stack, and stage product. Restock, pick, and pack product for customer orders. Inspect assigned equipment daily at start of shift; is responsible for checking out equipment and returning in same condition on a daily basis. Following procedures for proper care and use of equipment, to include keys. Adhere to all safety requirements and guidelines. Complete and maintain SanMar’s Lift Operator Certification in compliance with OSHA guidelines. Perform other duties as assigned Comply with all policies and standards What Are We Looking For? High School Diploma or equivalent 1-3 years of lift operator experience Ability to read, write and have sufficient ability to identify colors, sizes, quantity, label and SKU information. Basic math skills in counting and quantity required. Demonstrates ability to follow directions and change priorities or job duties as business needs require; rotate to other production functions as needed. Strong attention to detail. Ability to work in fast-paced, high-volume environment while meeting deadlines. Able to work both independently and within a team. Demonstrated verbal and written communication skills. Comprehend verbal and written instructions. Essential days or overtime may be required. What's Our Offer? Bonus: You`ll be eligible for an annual discretionary bonus up to 5% of base salary. Paid Time Off: You`ll accrue paid time off on a weekly basis based on hours worked up to 112 hours per year to start. Employees also receive 8 paid holidays and 1 paid family day off. Additional Benefits: Comprehensive medical, dental, and vision benefits 401k plan and matches $1 for $1 up to 4% of earnings, matched & vested at every pay cycle Life insurance Short/long-term disability coverage Paid maternity/paternity leave Pet insurance What Should You Expect? DC Warehouse (Equipment): While performing the duties of this job, the employee is constantly required to stand, walk, talk and hear. The employee frequently lifts and/or moves up to 60 pounds, hand loading trailers. The employee operates powered equipment requiring use of both hands as well as full range of motion of the neck, head and back. The employee is frequently required to reach with hands and arms, grasp and perform repetitive hand, wrist and arm motions. The employee is frequently required to climb stairs, kneel/squat, bend and carry. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception and ability to adjust focus. Employee may be required to wear a headset covering one or both ears. Employee will be required to wear Personal protective equipment such as a Protective harness while operating equipment. Basic English literacy is required for operation of machines and necessary daily paperwork. Work environment is moderately noisy. The employee is occasionally required to work near conveyor systems. There is exposure to dust and changes in weather conditions. Work is performed under typical warehouse conditions. Potential hazards exist with regard to machinery such as forklifts, pallet jacks, mechanized systems, etc. Work environment is hectic and fast-paced.The employee is regularly exposed to ambient lighting and can be exposed to extreme heat and extreme cold including climates consistent with outside weather conditions. Why Work at SanMar? Our people are at the heart of everything we do. They bring their talent, passion and dedication to work with them every day. Their hard work inspires us and gives us purpose. We love working here together. Whether you work in our headquarters, from your home or in one of our distribution centers across North America, we believe that investing in you is just the right thing to do. Our comprehensive benefits package is designed to support your health and well-being, life balance, career growth and (eventually) retirement. SanMar works with brands you already know, like Nike, The North Face and Brooks Brothers, as well as providing industry-leading private label apparel and accessories. Our people come to work excited to do their part, providing clothing that helps people feel that they’re a part of something special. Here’s your chance to be a part of this story. If you’re ready to work in a place where your participation matters and your growth is a priority, we’re ready for you. SanMar is an Equal Opportunity Employer Whoever you are, wherever you’re from, whoever you love or follow in faith, whatever your disability or superpower status, whichever ethnicity or gender you identify with, you are welcome at SanMar. SanMar participates in E-Verify.", "summaryDescription" : "Equipment Operator at SanMar. Operate equipment. Perform routine maintenance", "postedDate" : "2026-06-14T20:11:52.640", "createdAt" : "2026-06-14T20:11:52.640", "lastUpdated" : "2026-06-15T23:12:54.496", "ingestTimestamp" : "2026-06-14T20:11:52.640", "mongoId" : "6a2c923574d8ee00a09852bd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 38000, "salaryAnnualMax" : 52000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.6666667, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde4492beec4dd3d9a3293", "title" : "Equipment Operator/Equipment Operator Specialist/Equipment Operator Senior", "company" : "Texas Department of Transportation", "industry" : "Government", "salary" : { "min" : 45521.0, "max" : 81351.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Kingsville-Kleberg Co Maintenance Sect", "locations" : [ "UST-Texas-Kingsville-Kleberg Co Maintenance Sect", "Yearly", "Nonexempt,
Kleberg Co Maintenance Sect (16KLEBRGCO)
1802 N 14TH ST
Kingsville, 78363

, Kleberg Co Maintenance Sect" ], "timestamp" : "2026-06-15T10:13:41.449", "fingerprint" : "0eab73b1b56ce0da1d804e5f5434873f10e9f0c9a4fc1acfc6f7cc4e5c45e911", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43858", "externalId" : "43858", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kingsville", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.5158689,-97.8561090" } ], "locationText" : "Kingsville, Texas, United States", "employmentType" : "FULL_TIME", "hardSkillsList" : [ "Heavy equipment operation" ], "hardSkills" : [ { "name" : "Heavy equipment operation", "level" : "intermediate" } ], "majorSkills" : "Equipment operation", "majorSkillsList" : [ "Equipment operation" ], "coreResponsibilities" : "Operate heavy equipment, Maintain heavy equipment", "domainKnowledge" : "Roadway maintenance", "domainList" : [ "roadway-maintenance" ], "domainSpecificKnowledge" : [ "Roadway maintenance" ], "outcomesObjectives" : "Keep roadways safe; Keep roadways reliable; Build roadways for future", "qualificationsBasic" : "Equipment operation experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join our Kingsville Maintenance Team! We are looking for dedicated, skilled, and safety driven individuals to step into key role as Equipment Operator, Equipment Operator Specialist or Equipment Operator Senior. You'll operate and maintain a variety of heavy equipment that keeps our roadways safe, reliable, and built for the future. If you're motivated, dependable and ready to work - apply today! Salary Ranges: Equipment Operator: (A18) $45,521 - $71,055 annually Equipment Operator Specialist: (A19) $48,244 - $76,028 annually Equipment Operator Senior: (A20) $51,158 - $81,351 annually The Texas Department of Transportation reserves the sole right in determining the level position based on the applicant's work experience, education, skill level, and all other appropriate factors and based on business needs. 45,521.00 81,351.00", "summaryDescription" : "Equipment Operator/Equipment Operator Specialist/Equipment Operator Senior at Texas Department of Transportation. Skills: Equipment operation. Operate heavy equipment. Maintain heavy equipment", "createdAt" : "2026-06-14T08:28:44.965", "lastUpdated" : "2026-06-15T10:13:41.449", "ingestTimestamp" : "2026-06-14T08:28:44.965", "mongoId" : "69dde4492beec4dd3d9a3293", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45521, "salaryAnnualMax" : 81351, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Heavy equipment operation", "Equipment operation", "Roadway maintenance" ], "skillCount" : 3, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306775f292fd229cfbd80e", "title" : "Heavy Equipment CDL Driver", "company" : "EquipmentShare", "industry" : "Logistics", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Heavy Equipment CDL Driver in Austin, United States, adjusted for industry and company size." }, "location" : "Austin, Texas, United States", "locations" : [ "Austin", "Texas", "United States" ], "certifications" : [ "Class A CDL", "Chauffeur's license" ], "timestamp" : "2026-06-16T08:58:36.366", "fingerprint" : "7ee9b7c255131d191f00860b8ff705399fc901e036e928f9674a0b5e87a7c809", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.equipmentshare.com/careers/openings/?gh_jid=8008353", "externalId" : "8008353", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "professionalSkills" : [ "Customer service" ], "majorSkills" : "CDL driving", "majorSkillsList" : [ "CDL driving" ], "coreResponsibilities" : "Operate vehicle according to laws, Transport loads safely and timely, Maneuver truck and trailer, Assist with loading goods, Load and unload goods, Maintain signed invoices, Deliver required documentation, Facilitate routine service on trucks, Report maintenance malfunctions", "domainKnowledge" : "Construction equipment rental", "domainList" : [ "construction-equipment-rental" ], "domainSpecificKnowledge" : [ "Construction equipment rental" ], "communicationSkills" : "Speak professionally; Speak courteously", "specialRequirements" : "On-call scheduling, Overtime pay, Prolonged periods sitting, Safety sensitive position", "qualificationsBasic" : "Class A CDL or chauffeur's license, Pass background and drug testing, Pass DOT physical, At least 21 years old, Able to lift and move up to 40 pounds, Clean shaven if required by customer", "qualificationsPreferred" : "CDL drivers may be required to be clean shaven", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Build the Future with Us — EquipmentShare is Hiring a Heavy Equipment CDL Driver At EquipmentShare, we’re not just filling a role — we’re assembling the best team on the planet to build something that’s never been built before. We’re on a mission to transform an industry that’s been stuck in the past by empowering contractors and communities through innovative technology, real-time support, and a team that truly cares. We’re hiring a CDL Delivery Driver at our rental facility in Central Austin, TX, and we’re looking for someone who’s ready to grow with us, bring energy and drive to their work, and help us build the future of construction. Schedule: Monday to Friday, 7:00 AM to 5:00 PM, and offers overtime pay after working 40 hours. (This role is subject to on-call scheduling with additional compensation provided) Primary Responsibilities We don’t just deliver equipment - we deliver innovation. At EquipmentShare, our technology ensures that our drivers work efficiently and effectively by providing real-time access to fleet locations, work orders, and delivery details. Operates vehicle according to applicable state and federal transportation laws Transports loads safely and in a timely manner over required route, obeying all traffic laws and observing all safety regulations Deftly maneuvers truck and trailer into loading and unloading areas; follows loading crew signals Assists with loading of or loads and unloads goods and materials, using specialized equipment when warranted; unloads empty skids and returns all equipment to designated area Maintains signed invoices, shipping bills of lading, and other required paperwork; delivers documentation to shipping office or other appropriate staff when delivery route is complete Facilitates routine service on trucks, which may include checking oil, water, gasoline, and air; reports maintenance malfunctions to Shipping Supervisor Arranges trailers in shipping yards for optimum loading patterns Performs other related duties as assigned Why EquipmentShare? Because we do things differently — and we think you’ll feel it from day one. We’re a people-first company powered by cutting-edge technology. That means our proprietary T3 platform doesn’t just run our business — it also makes your job easier, safer, and more connected. Whether you’re behind the wheel, under the hood, leading a branch, or closing deals — tech supports you, and you drive us forward. We’re a team of problem-solvers, go-getters, and builders. And we’re looking for teammates who take pride in doing meaningful work and want to be part of building something special. Perks & Benefits Monthly Family Dinner Night — We treat you and your family to dinner every month, because family comes first. (An employee favorite!) *restrictions apply Competitive compensation Full medical, dental, and vision coverage for full-time employees Generous PTO + paid holidays 401(k) + company match Tool and boot reimbursements (role dependent) Gym membership stipend + wellness programs (earn PTO and prizes!) Company events, food truck nights, and monthly dinner nights 16 hours of paid volunteer time per year — give back to the community you call home Career advancement, leadership training, and professional development opportunities About You You want to be part of a team that’s not just changing an industry for the sake of change — we’re transforming it to make it safer, more secure, and more productive. You bring grit, heart, and humility to your work, and you’re excited about the opportunity to grow within a fast-paced, mission-driven environment. We’re looking for people who: See challenges as opportunities Embrace change and continuous improvement Bring energy, effort, and optimism every day Skills & Qualifications Required Skills/Abilities: Strong interpersonal and customer service skills with the ability to speak professionally and courteously with customers and staff at delivery points Ability to remain focused in a busy environment Education and Experience: Must hold either a commercial drivers license (Class A CDL) or chauffeur’s license depending on state, appropriate for weight of vehicle to be operated Must pass background and drug testing as required by federal and/or state department(s) of transportation regulations Must pass DOT physical, as trucks driven are over 10k lbs Must be at least 21 years old to operate company vehicle. Physical Requirements: Prolonged periods sitting in a trailer cab for long periods of time Must be able to lift and move up to 40 pounds at a time Must be able to travel frequently CDL drivers may be required to be clean shaven in order to deliver to EquipmentShare customers who have this requirement This is a safety sensitive position and any offer of employment will be contingent on passing a 10 panel drug screen A Workplace For All At EquipmentShare, we believe the best solutions come from a team that reflects the world around us. Our initiative — A Workplace For All — is rooted in the belief that we must work together to solve some of the toughest problems in construction. That means attracting, developing, and retaining great people from all walks of life. We value different backgrounds, talents, and perspectives. We want you to feel like you belong here — because you do. EquipmentShare is an EOE M/F/D/ V. Employment is contingent on passing a background check. Additionally, some roles require passing a drug test, depending on the job responsibilities.", "summaryDescription" : "Heavy Equipment CDL Driver at EquipmentShare. Skills: CDL driving. Operate vehicle according to laws. Transport loads safely and timely", "postedDate" : "2026-06-15T23:28:43.406", "createdAt" : "2026-06-15T23:28:43.406", "lastUpdated" : "2026-06-16T08:58:36.366", "ingestTimestamp" : "2026-06-15T23:28:43.406", "mongoId" : "6a306775f292fd229cfbd80e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "CDL driving", "Customer service", "Construction equipment rental", "Class A CDL", "Chauffeur's license" ], "skillCount" : 5, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306775f292fd229cfbd80d", "title" : "Heavy Equipment CDL Driver", "company" : "EquipmentShare", "industry" : "Logistics", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Heavy Equipment CDL Driver in Lafayette, United States, adjusted for industry and company size." }, "location" : "Lafayette, Louisiana, United States", "locations" : [ "Lafayette", "Louisiana", "United States" ], "certifications" : [ "Class A CDL", "Chauffeur's license" ], "timestamp" : "2026-06-16T07:31:33.849", "fingerprint" : "c78cb119a18fda38ae9d1b1c76d5bc9e8be025c1a7325cbcdf075035a0592cd7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.equipmentshare.com/careers/openings/?gh_jid=8007708", "externalId" : "8007708", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lafayette", "state" : "Louisiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2262187,-92.0178202" } ], "locationText" : "Lafayette, Louisiana, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "professionalSkills" : [ "Customer service" ], "hardSkillsList" : [ "Driving", "Equipment operation" ], "hardSkills" : [ { "name" : "Driving", "level" : "intermediate" }, { "name" : "Equipment operation", "level" : "intermediate" } ], "majorSkills" : "CDL Driving, Equipment delivery", "majorSkillsList" : [ "CDL Driving", "Equipment delivery" ], "coreResponsibilities" : "Operate vehicle according to laws, Transport loads safely and timely, Maneuver truck and trailer, Assist with loading goods, Load and unload goods, Maintain signed invoices, Deliver required documentation, Facilitate routine service on trucks, Report maintenance malfunctions", "teamCollaboration" : "Work with loading crew; Coordinate with Shipping Supervisor", "domainKnowledge" : "Transportation laws; Safety regulations", "domainList" : [ "transportation-laws", "safety-regulations" ], "domainSpecificKnowledge" : [ "Transportation laws", "Safety regulations" ], "toolProficiency" : [ "T3 platform" ], "communicationSkills" : "Speak professionally; Speak courteously", "documentationSkills" : "Maintain invoices; Maintain bills of lading", "continuousLearning" : "Career advancement; Leadership training; Professional development", "specialRequirements" : "On-call scheduling, Physical lifting up to 40 pounds, Frequent travel", "qualificationsBasic" : "Class A CDL or chauffeur's license, Pass background and drug testing, Pass DOT physical, At least 21 years old, Able to lift and move up to 40 pounds, Clean shaven (customer requirement)", "qualificationsPreferred" : "CDL drivers may be required to be clean shaven", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Build the Future with Us — EquipmentShare is Hiring a Heavy Equipment CDL Driver At EquipmentShare, we’re not just filling a role — we’re assembling the best team on the planet to build something that’s never been built before. We’re on a mission to transform an industry that’s been stuck in the past by empowering contractors and communities through innovative technology, real-time support, and a team that truly cares. We’re hiring a CDL Delivery Driver at our rental facility in Lafayette, LA, and we’re looking for someone who’s ready to grow with us, bring energy and drive to their work, and help us build the future of construction. Schedule: Monday to Friday, 7:00 AM to 5:00 PM, and offers overtime pay after working 40 hours. (This role is subject to on-call scheduling with additional compensation provided) Primary Responsibilities We don’t just deliver equipment - we deliver innovation. At EquipmentShare, our technology ensures that our drivers work efficiently and effectively by providing real-time access to fleet locations, work orders, and delivery details. Operates vehicle according to applicable state and federal transportation laws Transports loads safely and in a timely manner over required route, obeying all traffic laws and observing all safety regulations Deftly maneuvers truck and trailer into loading and unloading areas; follows loading crew signals Assists with loading of or loads and unloads goods and materials, using specialized equipment when warranted; unloads empty skids and returns all equipment to designated area Maintains signed invoices, shipping bills of lading, and other required paperwork; delivers documentation to shipping office or other appropriate staff when delivery route is complete Facilitates routine service on trucks, which may include checking oil, water, gasoline, and air; reports maintenance malfunctions to Shipping Supervisor Arranges trailers in shipping yards for optimum loading patterns Performs other related duties as assigned Why EquipmentShare? Because we do things differently — and we think you’ll feel it from day one. We’re a people-first company powered by cutting-edge technology. That means our proprietary T3 platform doesn’t just run our business — it also makes your job easier, safer, and more connected. Whether you’re behind the wheel, under the hood, leading a branch, or closing deals — tech supports you, and you drive us forward. We’re a team of problem-solvers, go-getters, and builders. And we’re looking for teammates who take pride in doing meaningful work and want to be part of building something special. Perks & Benefits Monthly Family Dinner Night — We treat you and your family to dinner every month, because family comes first. (An employee favorite!) *restrictions apply Competitive compensation Full medical, dental, and vision coverage for full-time employees Generous PTO + paid holidays 401(k) + company match Tool and boot reimbursements (role dependent) Gym membership stipend + wellness programs (earn PTO and prizes!) Company events, food truck nights, and monthly dinner nights 16 hours of paid volunteer time per year — give back to the community you call home Career advancement, leadership training, and professional development opportunities About You You want to be part of a team that’s not just changing an industry for the sake of change — we’re transforming it to make it safer, more secure, and more productive. You bring grit, heart, and humility to your work, and you’re excited about the opportunity to grow within a fast-paced, mission-driven environment. We’re looking for people who: See challenges as opportunities Embrace change and continuous improvement Bring energy, effort, and optimism every day Skills & Qualifications Required Skills/Abilities: Strong interpersonal and customer service skills with the ability to speak professionally and courteously with customers and staff at delivery points Ability to remain focused in a busy environment Education and Experience: Must hold either a commercial drivers license (Class A CDL) or chauffeur’s license depending on state, appropriate for weight of vehicle to be operated Must pass background and drug testing as required by federal and/or state department(s) of transportation regulations Must pass DOT physical, as trucks driven are over 10k lbs Must be at least 21 years old to operate company vehicle. Physical Requirements: Prolonged periods sitting in a trailer cab for long periods of time Must be able to lift and move up to 40 pounds at a time Must be able to travel frequently CDL drivers may be required to be clean shaven in order to deliver to EquipmentShare customers who have this requirement This is a safety sensitive position and any offer of employment will be contingent on passing a 10 panel drug screen A Workplace For All At EquipmentShare, we believe the best solutions come from a team that reflects the world around us. Our initiative — A Workplace For All — is rooted in the belief that we must work together to solve some of the toughest problems in construction. That means attracting, developing, and retaining great people from all walks of life. We value different backgrounds, talents, and perspectives. We want you to feel like you belong here — because you do. EquipmentShare is an EOE M/F/D/ V. Employment is contingent on passing a background check. Additionally, some roles require passing a drug test, depending on the job responsibilities.", "summaryDescription" : "Heavy Equipment CDL Driver at EquipmentShare. Skills: CDL Driving, Equipment delivery. Operate vehicle according to laws. Transport loads safely and timely", "postedDate" : "2026-06-15T23:26:39.928", "createdAt" : "2026-06-15T23:26:39.928", "lastUpdated" : "2026-06-16T07:31:33.849", "ingestTimestamp" : "2026-06-15T23:26:39.928", "mongoId" : "6a306775f292fd229cfbd80d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Driving", "Equipment operation", "CDL Driving", "Equipment delivery", "Customer service", "Transportation laws", "Safety regulations", "Class A CDL", "Chauffeur's license", "T3 platform" ], "skillCount" : 10, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "technical expertise in apparel customization and marking equipment jobs", "metadata" : { "title" : "technical expertise in apparel customization and marking equipment" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 54053, "totalPages" : 1082, "hasNext" : true, "hasPrevious" : false } }

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