{ "count" : 43639, "data" : [ { "id" : "6a2c6b9c74d8ee00a091380d", "title" : "Data Collection Engineer", "company" : "SQUAD", "industry" : "Technology", "salary" : { "min" : 720000.0, "max" : 1200000.0, "currency" : "UAH", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Collection Engineer in Kyiv, Ukraine, adjusted for the Technology industry and contract employment type." }, "location" : "Kyiv", "locations" : [ "Kyiv" ], "timestamp" : "2026-06-15T10:14:34.652", "fingerprint" : "1bba85c6719e98cca246d68a8451251c7f8d5847277d7446f62ac9bf00314761", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://squad.tech/careers/?gh_jid=7496137", "externalId" : "7496137", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kyiv", "country" : "Ukraine", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.4500336,30.5241361" } ], "locationText" : "Kyiv, Ukraine", "employmentType" : "CONTRACT", "technicalSkills" : "Firmware flashing, Network setup, Sensor calibration, Wi-Fi configuration", "professionalSkills" : [ "Technical Quality Assurance", "Field production", "Problem-solving", "Technical solutions" ], "hardSkillsList" : [ "Device configuration", "Data collection sessions", "Troubleshooting", "Automation" ], "hardSkills" : [ { "name" : "Device configuration", "level" : "intermediate" }, { "name" : "Data collection sessions", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "Data Collection, Smart Home Devices, Field Operations", "majorSkillsList" : [ "Data Collection", "Smart Home Devices", "Field Operations" ], "coreResponsibilities" : "Set up and configure devices, Execute and monitor data collection, Ensure data quality and compliance, Prepare field locations, Optimize device placement, Coordinate third-party providers, Perform HW/FW/network troubleshooting, Mitigate operational risks, Document results and issues, Drive improvements in efficiency", "teamCollaboration" : "Cross-functional teams; Project Coordinators", "domainKnowledge" : "Smart home devices; Home automation; Security devices; Video technologies; Local networks", "domainList" : [ "smart-home-devices", "home-automation", "security-devices", "video-technologies", "local-networks" ], "domainSpecificKnowledge" : [ "Smart home devices", "Home automation", "Security devices", "Video technologies", "Local networks" ], "toolProficiency" : [ "Confluence" ], "communicationSkills" : "Clear communication", "documentationSkills" : "Document results", "continuousLearning" : "Corporate courses; Knowledge hubs; English classes; Educational leaves", "problemSolvingSkills" : "Problem-solver; Troubleshooting", "specialRequirements" : "Work evening hours", "qualificationsBasic" : "Experience with Smart Home devices, Solid understanding of network setup, Hands-on experience with technical equipment, Confident use of Google Workspace, Teamwork and cross-functional collaboration, High adaptability to changing environments, Clear and effective communication, Excellent time management, Self-organization and multitasking, Good written and spoken English", "qualificationsPreferred" : "Quality Assurance experience, Working knowledge of UNIX/Linux, Command-line basics", "workSiteFlexibility" : "Onsite", "rawDescription" : "Team Summary We are a Data Collection team focused on improving smart home devices and features through high-quality data. The data we collect supports machine learning training, evaluation, testing, and performance benchmarking, helping teams develop new capabilities and improve detection quality for customers. We recreate real-world scenarios and edge cases in various indoor and outdoor environments using both production and pre-release devices. We also perform comparative analysis of device motion detection performance across different generations, generating insights that help determine device readiness for mass production. Job Summary We are looking for a Data Collection Engineer to join our team. In this role, you will deep-dive into the specifics of smart home device functionality and collaborate with cross-functional teams to influence device/feature performance/detection quality improvement. This role offers an opportunity to work at the intersection of two fields: Technical Quality Assurance and field production (similar to debugging and shooting on a cinema set). The ideal candidate is a proactive problem-solver, creative in finding technical solutions, and resilient to changing external factors. Responsibilities and Duties Set up and configure data collection devices on-site, including firmware flashing, network setup, and sensor calibration Execute and monitor multi-device data collection sessions at remote locations according to defined scenarios, ensuring data quality and compliance in real time Independently prepare field locations, including device placement and field-of-view optimization based on environmental conditions Coordinate third-party providers (vehicles, locations, actors, pets) to ensure correct execution of scenarios Perform HW/FW/network troubleshooting during collection with remote technical support when needed Mitigate on-site operational risks and align with Project Coordinators on resource constraints Document results, issues, and field observations, and drive improvements in data collection efficiency and automation Qualifications and Skills Experience working with Smart Home, home automation, security devices, or video technologies Solid understanding of network setup, Wi-Fi configuration, and basic troubleshooting (routers, access points, local networks) Hands-on experience with technical equipment, tools, hardware installations, or field operations Confident use of Google Workspace and Confluence Strong teamwork, cross-functional collaboration, and high adaptability to changing environments Clear and effective communication Excellent time management, self-organization, and multitasking skills Good written and spoken English. Nice to have Quality Assurance experience (hardware or software testing) Working knowledge of UNIX/Linux environments and command-line basics Flexibility to work evening hours if requested by project specifics. We offer multiple benefits that include The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member. Competitive compensation and perks. Annual performance review. Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company. Gig-contract. 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation. Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves. Medical insurance is provided from day one. Sick leaves and medical leaves are available. Free meals, fruits, and snacks when working in the office.", "summaryDescription" : "Data Collection Engineer at SQUAD. Skills: Data Collection, Smart Home Devices, Field Operations. Set up and configure devices. Execute and monitor data collection", "postedDate" : "2026-06-14T08:39:16.252", "createdAt" : "2026-06-14T08:39:16.252", "lastUpdated" : "2026-06-15T10:14:34.652", "ingestTimestamp" : "2026-06-14T08:39:16.252", "mongoId" : "6a2c6b9c74d8ee00a091380d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Device configuration", "Data collection sessions", "Troubleshooting", "Automation", "Data Collection", "Smart Home Devices", "Field Operations", "Technical Quality Assurance", "Field production", "Problem-solving", "Technical solutions", "Smart home devices", "Home automation", "Security devices", "Video technologies", "Local networks", "Confluence" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305efdf292fd229cf76de4", "title" : "Data Collection Auditor", "industry" : "Data Operations", "salary" : { "min" : 32.0, "max" : 35.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Redwood City, CA", "locations" : [ "Redwood City, CA" ], "timestamp" : "2026-06-16T11:22:34.861", "fingerprint" : "acac40c0f8f554261b93f286b42557f0caf0d84f65a1c2d1ea8e91510cd3d3a8", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/dyna-robotics/91f17da0-fe35-4ae5-a208-e5784de0b258/application", "externalId" : "91f17da0-fe35-4ae5-a208-e5784de0b258", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redwood City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4863239,-122.2325230" } ], "locationText" : "Redwood City, California, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Review data collection episodes, Audit live episodes, Ensure accuracy, Ensure consistency, Ensure compliance with SOPs, Identify deviations, Document issues, Provide feedback to operators", "qualificationsBasic" : "Final quality checkpoint", "workSiteFlexibility" : "Onsite", "rawDescription" : "The Data Collection Audior will be responsible for reviewing data collection episodes and/or Live auditing episodes to ensure accuracy, consistency, and compliance with established Standard Operating Procedures. This role serves as the final quality checkpoint, identifying deviations, documenting issues, and providing actionable feedback to operators in order to maintain quality data.", "summaryDescription" : "Data Collection Auditor. Review data collection episodes. Audit live episodes", "createdAt" : "2026-06-16T00:30:19.544", "lastUpdated" : "2026-06-16T11:22:34.861", "ingestTimestamp" : "2026-06-16T00:30:19.544", "mongoId" : "6a305efdf292fd229cf76de4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 35, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "69fda4e54c40e2acd1b99a64", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 19.0, "max" : 33.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T05:29:52.309", "fingerprint" : "96231c747d3ad883c5a260ef32d319463d913c5c38d376ce827e24a90888f24a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412513/apply", "externalId" : "6df00c61-823c-44cc-a9a6-74b2121c30c9", "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", "technicalSkills" : "MS Office, Scripting languages, Unix/Linux, Mac OS, Confluence, JIRA, Wiki", "professionalSkills" : [ "Data collection", "Data auditing", "Data markup" ], "hardSkillsList" : [ "Data collection procedure", "Data recording", "Information documentation", "Data collection projects", "Collection protocol changes", "Quantitative data analysis" ], "softSkillsList" : [ "Organized", "Interpersonal skills", "Sense of humor", "Team work skills" ], "hardSkills" : [ { "name" : "Data collection procedure", "level" : "intermediate" }, { "name" : "Data recording", "level" : "intermediate" }, { "name" : "Information documentation", "level" : "intermediate" }, { "name" : "Data collection projects", "level" : "intermediate" }, { "name" : "Collection protocol changes", "level" : "intermediate" }, { "name" : "Quantitative data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Organized" }, { "name" : "Interpersonal skills" }, { "name" : "Sense of humor" }, { "name" : "Team work skills" } ], "majorSkills" : "Data collection, Data auditing, Data markup", "majorSkillsList" : [ "Data collection", "Data auditing", "Data markup" ], "coreResponsibilities" : "Learn collection procedure quickly, Execute collection procedure accurately, Record data, Document needed information, Identify issues in tools, Suggest tool enhancements, Understand changes to collection protocol", "teamCollaboration" : "Highly collaborative environment; Great team work skills", "domainKnowledge" : "Machine learning data processing", "domainList" : [ "machine-learning-data-processing" ], "domainSpecificKnowledge" : [ "Machine learning data processing" ], "toolProficiency" : [ "MS Office", "Confluence", "JIRA", "Wiki" ], "documentationSkills" : "Information documentation", "innovationCreativity" : "Improvements in data collection projects", "problemSolvingSkills" : "Addressing issues and problems", "qualificationsBasic" : "Computer skills, Proficiency in MS Office, Moderating data collection, Conducting data collection, Data auditing, Data markup, Machine learning data processing needs, Experience with prototype assets, Experience in research, Experience with scripting languages, Unix/Linux environment, Mac OS experience, Confluence experience, JIRA experience, Wiki tools experience", "qualificationsPreferred" : "Bachelor's degree or equivalent, Behavioral data collection experience, Scenario-driven data collection experience, Quantitative data analysis experience, Consumer electronic device flashing, Consumer electronic device readiness, Hardware testing experience, Software testing experience, Salesforce experience, JIRA experience, Agile/scrum workflow experience, Data collection evaluation experience, Peer-to-peer feedback experience, Working with multiple stakeholders, Supporting quantitative research, Supporting qualitative research, iOS systems experience, Android systems experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience with computer skills, including proficiency in MS Office (Word, Excel, PowerPoint) - Experience in moderating and conducting data collection, data auditing, or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent - Experience with behavioral data collection, scenario-driven data collection and quantitative data analysis - Experience with consumer electronic device flashing and readiness - Experience in hardware and software testing - Experience with Salesforce or JIRA, or experience in agile/scrum or related collaborative workflow - Experience in data collection and evaluation to drive impact - Experience in providing peer-to-peer feedback - Experience working with multiple groups of stakeholders - Experience in supporting quantitative and qualitative consumer research - Experience with iOS and Android systems Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 19.00 - 33.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data auditing, Data markup. Learn collection procedure quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T12:05:13.166", "createdAt" : "2026-06-13T12:05:13.166", "lastUpdated" : "2026-06-15T05:29:52.309", "ingestTimestamp" : "2026-06-13T12:05:13.166", "mongoId" : "69fda4e54c40e2acd1b99a64", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412513/apply", "salaryAnnualMin" : 39520, "salaryAnnualMax" : 68640, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection procedure", "Data recording", "Information documentation", "Data collection projects", "Collection protocol changes", "Quantitative data analysis", "Organized", "Interpersonal skills", "Sense of humor", "Team work skills", "Data collection", "Data auditing", "Data markup", "Machine learning data processing", "MS Office", "Confluence", "JIRA", "Wiki" ], "skillCount" : 18, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69cf3f092beec4dd3d93434b", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 17.0, "max" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T01:58:29.389", "fingerprint" : "df2500f8314dde7ba09825a58565b96cc2620501e597eef78ac99626ee988721", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381246/apply", "externalId" : "d2f1069a-f16a-4d8f-83c9-0f79c03f8361", "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", "technicalSkills" : "Python, Unix, Linux", "professionalSkills" : [ "Data collection", "Data processing" ], "hardSkillsList" : [ "Data collection", "Data processing" ], "softSkillsList" : [ "Team work" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Team work" } ], "majorSkills" : "Data collection", "majorSkillsList" : [ "Data collection" ], "coreResponsibilities" : "Learn quickly, Execute collection procedure accurately, Record data, Document needed information associated to data, Contribute to improvements in data collection projects, Identify issues in tools, Suggest enhancements, Understand changes to collection protocol", "teamCollaboration" : "Fast-paced team environment; Highly collaborative environment; Dynamic work environment; Great team work", "domainKnowledge" : "Machine learning data processing", "domainList" : [ "machine-learning-data-processing" ], "domainSpecificKnowledge" : [ "Machine learning data processing" ], "toolProficiency" : [ "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools", "Quip", "Salesforce" ], "communicationSkills" : "Excellent communication", "documentationSkills" : "Document information", "problemSolvingSkills" : "Addressing issues; Addressing problems", "specialRequirements" : "Reliable transportation", "qualificationsBasic" : "Experience working in a fast-paced, team environment, Excellent communication skills, Organizational skills, Very detailed-oriented, Experience working in a corporate environment, Comfortable working in a fast paced, highly collaborative, dynamic work environment, Practical knowledge of machine learning data processing needs and trade-offs, Experience working with prototype assets, Experience in research or data collection, Experience with any scripting languages, Unix/Linux environment experience, A good sense of humor, A positive attitude, Great team work skills, Experience using MS Office, Excel experience, Mac OS experience, Confluence experience, JIRA experience, Wiki tools experience, Knowledge of Microsoft Office products and applications, Reliable transportation", "qualificationsPreferred" : "Bachelor's degree or equivalent, Experience using Confluence, Quip experience, Jira experience, Salesforce experience, End-to-end, hands-on experience with aspects of data collections, Experience moderating a 1:1 session with users independently in the field, Experience moderating sessions with users of different age and demographics, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience working in a fast-paced, team environment - Excellent communication, strong organizational skills and very detailed-oriented - Experience working in a corporate environment - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. - Knowledge of Microsoft Office products and applications - Reliable transportation Preferred Qualifications: - Bachelor's degree or equivalent - Experience in research or data collection - - Experience using Confluence, Quip, Jira, Salesforce - - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - - Experience moderating a 1:1 session with users independently in the field - - Experience moderating sessions with users of different age and demographics is a big plus - - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, VA, Arlington - 17.00 - 30.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection. Learn quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T05:54:27.865", "createdAt" : "2026-06-13T05:54:27.865", "lastUpdated" : "2026-06-15T01:58:29.389", "ingestTimestamp" : "2026-06-13T05:54:27.865", "mongoId" : "69cf3f092beec4dd3d93434b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381246/apply", "salaryAnnualMin" : 35360, "salaryAnnualMax" : 62400, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection", "Data processing", "Team work", "Machine learning data processing", "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools", "Quip", "Salesforce" ], "skillCount" : 12, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a6d9bc74574cbbb3764", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 19.0, "max" : 33.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T03:43:25.429", "fingerprint" : "fb262e47f702be0e0f2114333024c42a788943bd46366f372d93a67f47dc7938", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194786/apply", "externalId" : "6cb58604-4a39-4548-a15f-6c7ac23accb7", "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" : "Bachelor's", "technicalSkills" : "Python, Unix/Linux", "professionalSkills" : [ "Data labeling", "Data annotation", "Linguistic annotation", "Data markup" ], "majorSkills" : "Data collection, Data annotation", "majorSkillsList" : [ "Data collection", "Data annotation" ], "coreResponsibilities" : "Learn quickly, Execute collection procedure accurately, Record data, Document needed information, Contribute to improvements in data collection projects, Identify issues in tools, Suggest enhancements, Understand changes to collection protocol", "teamCollaboration" : "Working with other employees; Communicate effectively and respectfully", "domainKnowledge" : "Natural language data labeling; Data annotation; Linguistic annotation; Data markup; Machine learning data processing", "domainList" : [ "natural-language-data-labeling", "data-annotation", "linguistic-annotation", "data-markup", "machine-learning-data-processing" ], "domainSpecificKnowledge" : [ "Natural language data labeling", "Data annotation", "Linguistic annotation", "Data markup", "Machine learning data processing" ], "toolProficiency" : [ "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "communicationSkills" : "Communicate effectively; Communicate respectfully", "documentationSkills" : "Document information", "innovationCreativity" : "Suggest enhancements", "problemSolvingSkills" : "Identify issues; Address issues; Address problems", "qualificationsBasic" : "Experience in natural language data labeling, Experience in data annotation, Experience in linguistic annotation, Experience in other forms of data markup, Experience working with prototype assets, Experience in research, Experience in data collection, Experience with scripting languages, Experience with Unix/Linux environment, Experience using MS Office, Experience using Excel, Experience using Mac OS, Experience using Confluence, Experience using JIRA, Experience using Wiki tools", "qualificationsPreferred" : "Bachelor's degree or equivalent", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent 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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 19.00 - 33.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data annotation. Learn quickly. 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The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience with computer skills, including proficiency in MS Office (Word, Excel, PowerPoint) - Experience in moderating and conducting data collection, data auditing, or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent - Experience with behavioral data collection, scenario-driven data collection and quantitative data analysis - Experience with consumer electronic device flashing and readiness - Experience in hardware and software testing - Experience with Salesforce or JIRA, or experience in agile/scrum or related collaborative workflow - Experience in data collection and evaluation to drive impact - Experience in providing peer-to-peer feedback - Experience working with multiple groups of stakeholders - Experience in supporting quantitative and qualitative consumer research - Experience with iOS and Android systems 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. 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Basic Qualifications: - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent 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. 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Preferred Qualifications: - Bachelor's degree or equivalent - Experience with behavioral data collection, quantitative data analysis, and statistics - Experience with Salesforce or JIRA, or experience in agile/scrum or related collaborative workflow - Experience in data collection and evaluation to drive impact - Experience in providing peer-to-peer feedback - Experience working with multiple groups of stakeholders - Experience in supporting quantitative and qualitative consumer research Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, WA, Bellevue - 21.00 - 30.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data annotation, Data markup. Learn quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T02:00:28.863", "createdAt" : "2026-06-13T02:00:28.863", "lastUpdated" : "2026-06-15T01:23:35.587", "ingestTimestamp" : "2026-06-13T02:00:28.863", "mongoId" : "69c94a6d9bc74574cbbb3762", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194789/apply", "salaryAnnualMin" : 43680, "salaryAnnualMax" : 62400, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data markup", "Data collection", "Quantitative analysis", "Statistics", "Organized", "Interpersonal skills", "Sense of humor", "Team work skills", "Data annotation", "Data labeling", "Linguistic annotation", "Natural language data labeling", "Machine learning data processing", "Behavioral data collection", "Quantitative data analysis", "Agile/scrum workflow", "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "skillCount" : 22, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a25145374d8ee00a00bb2f0", "title" : "Quantum Applied Scientist, Simulation Methods and Tools, AWS Center for Quantum Computing", "company" : "Amazon Development Centre Canada ULC", "industry" : "Research Science, Applied Science, Cloud Computing", "salary" : { "min" : 149000.0, "max" : 249000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Toronto, Ontario, CAN", "locations" : [ "Toronto, Ontario, CAN" ], "timestamp" : "2026-06-15T04:32:41.017", "fingerprint" : "a2eb780d5dc17da153c43a0ba4f09b77c532041ecc62893ea8a745230faa23cf", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10441198/apply", "externalId" : "66e04b6b-b597-42f2-9c37-281f818debe8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Java, C++, Julia, Rust, Machine learning, Quantum computing, Circuit QED, Quantum many-body, JAX, PyTorch, Linear algebra", "professionalSkills" : [ "Numerical methods", "Scientific software", "Quantum processor design", "Quantum processor characterization" ], "hardSkillsList" : [ "Algorithm implementation", "Software development", "Numerical simulation", "Automatic differentiation", "GPU acceleration" ], "softSkillsList" : [ "Scientific rigor", "Curiosity", "Connection" ], "hardSkills" : [ { "name" : "Algorithm implementation", "level" : "intermediate" }, { "name" : "Software development", "level" : "intermediate" }, { "name" : "Numerical simulation", "level" : "intermediate" }, { "name" : "Automatic differentiation", "level" : "intermediate" }, { "name" : "GPU acceleration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Scientific rigor" }, { "name" : "Curiosity" }, { "name" : "Connection" } ], "majorSkills" : "Quantum simulation, Numerical methods, Software development, Quantum computing", "majorSkillsList" : [ "Quantum simulation", "Numerical methods", "Software development", "Quantum computing" ], "coreResponsibilities" : "Develop numerical methods, Develop software tools, Address simulation problems, Simulate quantum devices, Compute static properties, Compute dynamical properties, Support device development, Collaborate with scientists, Research simulation solutions, Investigate simulation solutions, Communicate findings, Deliver recommendations, Provide best practice examples, Tackle unsolved problems, Apply engineering principles, Maintain scientific rigor, Explain work to engineers, Explain work to scientists, Identify modeling problems, Identify simulation problems, Develop algorithms, Improve workflows, Write up findings, Discuss findings, Develop implementations, Test implementations, Demonstrate implementations, Stay on top of developments, Attend seminars, Attend discussions", "teamCollaboration" : "Multi-disciplinary team; Adjacent teams; Scientists and engineers", "domainKnowledge" : "Quantum computing; Quantum processor design; Quantum processor characterization; Circuit-QED level; Quantum many-body systems; Superconducting circuits; Quantum real-time dynamics; Tensor networks; Variational quantum states", "domainList" : [ "quantum-computing", "quantum-processor-design", "quantum-processor-characterization", "circuit-qed-level", "quantum-many-body-systems", "superconducting-circuits", "quantum-real-time-dynamics", "tensor-networks", "variational-quantum-states" ], "domainSpecificKnowledge" : [ "Quantum computing", "Quantum processor design", "Quantum processor characterization", "Circuit-QED level", "Quantum many-body systems", "Superconducting circuits", "Quantum real-time dynamics", "Tensor networks", "Variational quantum states" ], "toolProficiency" : [ "QuTiP", "QuantumOptics.jl", "scQubits", "SQcircuit", "JAX", "PyTorch" ], "communicationSkills" : "Written communication; Verbal communication", "continuousLearning" : "Mentorship; Career growth", "innovationCreativity" : "Enduring impact", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Export control requirement", "qualificationsBasic" : "PhD or Master's degree, 5+ years related experience, Experience in patents or publications, Experience with Python, Java, C++, Experience implementing algorithms, Experience modeling quantum devices, Experience simulating quantum systems, Experience applying ML to science", "qualificationsPreferred" : "Experience in professional software development, Experience applying theoretical models, Fluency in Python, Julia, C++, or Rust, Experience with QuTiP, Experience with QuantumOptics.jl, Experience with scQubits, Experience with SQcircuit, Experience with JAX, Experience with PyTorch, Experience with GPU acceleration, Experience with quantization of circuits, Experience simulating quantum dynamics, Experience with disorder and localization, Experience with variational quantum states, Experience with Hamiltonian inference, Experience with characterization and calibration, Experience with surrogate modeling", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Web Services (AWS) Center for Quantum Computing (CQC) in Pasadena, CA, is looking to hire an Applied Scientist focused on development of methods and tools for simulating quantum processor devices. In this role, you will develop and apply numerical methods and software tools that address simulation problems in quantum processor design and characterization. You will be joining a multi-disciplinary team of scientists, engineers, and technicians, all working at the forefront of quantum computing and will have an opportunity to make an enduring impact on the development of fault-tolerant quantum computers. The ideal candidate should have a track record of significant technical contributions to scientific software packages and have deep expertise in developing and applying numerical methods to simulate quantum many-body systems in the context of quantum processor development. Key job responsibilities Simulations are a critical tool at the CQC. As an applied scientist in this role, you will help develop high quality software tools and numerical methods for simulating our devices at the circuit-QED level, allowing us to accurately and efficiently compute static and dynamical properties of our devices, such as frequencies, coupling strengths, and gate error budgets. The tools you build will directly support device development work done by CQC scientists, such as device theorists, designers, and experimentalists, on adjacent teams. You will also collaborate with these scientists to research and investigate simulation-based solutions to problems in quantum processor design and characterization, communicating your findings and delivering recommendations and examples of best practice. You should thrive in ambiguous environments that require you to tackle problems that have not been solved before. You are able to apply strong engineering principles while maintaining scientific rigor. Your excellent written and verbal communication skills enable you to explain your work to software engineers, or scientists with different backgrounds to your own. A day in the life - Collaborate with designers, device theorists, and measurement scientists to identify high-impact modeling and simulation problems in quantum processor design and characterization - Research and develop methods and algorithms that could enable or improve our workflows - Write up your findings and discuss them with scientists and software developers - Develop and test high-quality implementations, demonstrating them for target applications - Stay on top of the latest developments in software and algorithms - Attend regular seminars and discussions with Caltech scientists 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. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be either a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be able to obtain a U.S export license. If you are unsure if you meet these requirements, please apply and Amazon will review your application for eligibility. Basic Qualifications: - PhD, or Master's degree and 5+ years of science, technology, engineering or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience with programming languages such as Python, Java, C++ - Experience implementing algorithms using both toolkits and self-developed code - Experience with any of the following: modeling quantum devices using circuit Quantum Electrodynamics, numerical simulation of quantum many-body systems, application of machine-learning methods and tools to science or engineering problems Preferred Qualifications: - Experience in professional software development - Experience applying theoretical models in an applied environment - Fluency in Python, Julia, C++, or Rust - Experience with QuTiP, QuantumOptics.jl, scQubits, SQcircuit, or related software packages - Experience with using JAX, PyTorch, or other python-based solutions for automatic differentiation or GPU acceleration of self-developed linear algebra code - Experience in any of the following areas: quantization of superconducting circuits, simulation of quantum real-time dynamics under fast driving, disorder and localization in quantum many-body systems, variational quantum states such as tensor networks, Hamiltonian inference, characterization and calibration of quantum processors, surrogate modeling (e.g. using gaussian processes, neural networks) of quantum devices 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. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, ON, Toronto - 149,300.00 - 249,300.00 CAD annually", "summaryDescription" : "Quantum Applied Scientist, Simulation Methods and Tools, AWS Center for Quantum Computing at Amazon Development Centre Canada ULC. Skills: Quantum simulation, Numerical methods, Software development, Quantum computing. Develop numerical methods. 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Cross-functional teams; Working effectively within team", "projectManagementSkills" : [ "R&D" ], "domainKnowledge" : "Superconducting quantum processors; Qubit coherence; Thin film materials; Josephson junction engineering; Superconducting circuits; CPW resonator geometries; Lumped element resonator geometries; Cat qubit architectures; Bosonic qubit architectures; Cloud platform; Utility Computing; Dedicated Cloud", "domainList" : [ "superconducting-quantum-processors", "qubit-coherence", "thin-film-materials", "josephson-junction-engineering", "superconducting-circuits", "cpw-resonator-geometries", "lumped-element-resonator-geometries", "cat-qubit-architectures", "bosonic-qubit-architectures", "cloud-platform", "utility-computing", "dedicated-cloud" ], "domainSpecificKnowledge" : [ "Superconducting quantum processors", "Qubit coherence", "Thin film materials", "Josephson junction engineering", "Superconducting circuits", "CPW resonator geometries", "Lumped element resonator geometries", "Cat qubit architectures", "Bosonic qubit architectures", "Cloud platform", "Utility Computing", "Dedicated Cloud" ], "toolProficiency" : [ "Unix/Linux" ], "communicationSkills" : "Excellent communication skills", "continuousLearning" : "Ongoing events and learning experiences", "innovationCreativity" : "Original scientific contributions; Prototype development", "problemSolvingSkills" : "Superior problem solving; Rigorous analysis", "outcomesObjectives" : "Hardware demonstration", "qualificationsBasic" : "Experience in patents or publications, Experience programming in Java, C++, Python, Master's degree or above, Familiarity with cryogenic systems, 2+ years hands-on experience, 2+ years with superconducting quantum devices", "qualificationsPreferred" : "Experience using Unix/Linux, Experience in professional software development, Experience collaborating with cross-functional teams, Experience with flip-chip or 3D integrated devices, Familiarity with tantalum or refractory metal circuits, Experience with loss characterization and SPR analysis, Knowledge of Josephson junction engineering, Experience with cat qubit or bosonic qubit architectures, Track record of driving R&D", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Web Services (AWS) Center for Quantum Computing in Pasadena, CA, is looking to hire an Applied Scientist on the Device Team, focused on integration R&D for superconducting quantum processors. You will join a multi-disciplinary team of theoretical and experimental physicists, materials scientists, and hardware and software engineers working at the forefront of quantum computing. You should have deep expertise in the design, fabrication, and characterization of superconducting quantum devices, with a strong understanding of how materials, process integration, and device architecture impact qubit coherence and performance. Candidates with a track record of original scientific contributions in superconducting qubit coherence, thin film materials, or Josephson junction engineering will be preferred. We are looking for candidates with strong scientific and engineering principles, resourcefulness and a bias for action, superior problem solving, and excellent communication skills. Working effectively within a team environment is essential. As an Applied Scientist at CQC, you will be expected to drive integration R&D from concept through hardware demonstration and stay abreast of advances in superconducting quantum hardware. Key job responsibilities You will work at the unit cell level to integrate and evaluate new fabrication process modules and device design changes for superconducting quantum processors. This includes designing and executing experiments to assess performance impacts, investigating unexpected results through rigorous analysis and follow-on experiments, and leveraging electromagnetic and circuit-level simulations to interpret findings and connect observations to underlying physical mechanisms. You will coordinate with production and cross-functional teams on engineering lots, short-loop experiments, and prototyping runs to build the scientific foundation for next-generation processor integration at CQC. About the team About the team Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services. 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 (diversity) conferences, inspire us to never stop embracing our uniqueness. 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. 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: - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Master's degree or above in engineering, physics, or equivalent - Familiarity with cryogenic systems and low-temperature measurement environments - 2+ years of hands-on experience with superconducting quantum devices (resonators, transmons, or related circuits) Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development - Experience collaborating with cross-functional teams - * Experience with flip-chip or 3D integrated superconducting devices - * Familiarity with tantalum or other refractory metal-based superconducting circuits - * Experience with loss characterization and SPR analysis in CPW or lumped element resonator geometries - * Knowledge of Josephson junction engineering including oxidation control, underjunction processing, and junction aging - * Experience with cat qubit or bosonic qubit architectures - * Track record of driving R&D from concept through hardware demonstration 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, Pasadena - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Quantum Applied Scientist, Center for Quantum Computing, Device Team at Amazon Development Center U.S., Inc.. Skills: Quantum computing, Superconducting qubits, Device integration. Integrate and evaluate fabrication process modules. 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"2026-06-16T07:32:16.692", "fingerprint" : "7a8e336967211612ea8c88b6e9f7f090eef9d4fcb863a396bf523094b65e6706", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448504/apply", "externalId" : "e7f19643-09b3-4b4d-bf7d-583d8ad67476", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Redshift, Teradata, Netezza, Spark, Hadoop, Oracle, MySQL, MS SQL, ETL, ELT, Python, Java, Scala, NodeJS, Hive, EMR, AWS, S3, EC2, Lambda", "professionalSkills" : [ "Data architecture", "Operational excellence", "System resilience", "Strategic vision", "Intelligent automation", "Predictive anomaly detection", "AI-powered insights", "Performance 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"Escalation management", "Work simplification", "Defect removal", "Failure mode avoidance" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data pipeline management", "level" : "intermediate" }, { "name" : "Data quality monitoring", "level" : "intermediate" }, { "name" : "Data delivery", "level" : "intermediate" }, { "name" : "Machine learning adoption", "level" : "intermediate" }, { "name" : "Generative AI adoption", "level" : "intermediate" }, { "name" : "Pipeline health monitoring", "level" : "intermediate" }, { "name" : "Data completeness monitoring", "level" : "intermediate" }, { "name" : "Data accuracy monitoring", "level" : "intermediate" }, { "name" : "Operational toil reduction", "level" : "intermediate" }, { "name" : "Dashboard reporting", "level" : "intermediate" }, { "name" : "Report generation", "level" : "intermediate" }, { "name" : "AI/ML technology adoption", "level" : "intermediate" }, { "name" : "AI-driven insights generation", "level" : "intermediate" }, { "name" : "Pipeline automation", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Data platform future-proofing", "level" : "intermediate" }, { "name" : "Team development", "level" : "intermediate" }, { "name" : "Coaching", "level" : "intermediate" }, { "name" : "Performance management", "level" : "intermediate" }, { "name" : "Inclusive team modeling", "level" : "intermediate" }, { "name" : "Strategic planning", "level" : "intermediate" }, { "name" : "Problem triage", "level" : "intermediate" }, { "name" : "Problem breakdown", "level" : "intermediate" }, { "name" : "Execution planning", "level" : "intermediate" }, { "name" : "Escalation management", "level" : "intermediate" }, { "name" : "Work simplification", "level" : "intermediate" }, { "name" : "Defect removal", "level" : "intermediate" }, { "name" : "Failure mode avoidance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Engineering, Data Architecture, AI/ML, Team Leadership", "majorSkillsList" : [ "Data Engineering", "Data Architecture", "AI/ML", "Team Leadership" ], "coreResponsibilities" : "Own infrastructure and reliability of DataNet jobs, Pull data from AP transaction processing systems, Define and execute data architecture roadmap, Make architectural decisions aligned with AP Tech strategy, Establish SLAs for pipeline health, Establish monitoring mechanisms for pipeline health, Establish audit metrics for pipeline health, Establish SLAs for data completeness, Establish monitoring mechanisms for data completeness, Establish audit metrics for data completeness, Establish SLAs for data accuracy, Establish monitoring mechanisms for data accuracy, Establish audit metrics for data accuracy, Drive root cause analysis for pipeline failures, Build automation to reduce operational toil, Improve system resilience, Partner with AP teams to manage upstream data, Partner with AP teams to manage schema evolution, Partner with AP teams to manage system migrations, Work closely with Operations teams, Ensure dashboards meet daily needs, Ensure reports meet daily needs, Champion AI/ML adoption, Champion generative AI adoption, Enable intelligent pipeline automation, Enable predictive anomaly detection, Enable AI-powered data insights, Evaluate emerging AI capabilities, Implement emerging AI capabilities, Lead team of data engineers, Hire data engineers, Develop data engineers, Coach data engineers, Performance-manage data engineers, Foster psychologically safe team model, Foster inclusive team model, Delegate tasks to build leaders, Write strategic narratives, Participate in OP1/OP2, Own team's charter, Own team's vision, Own team's tenets, Tackle complex problems, Triage problems, Break down problems, Plan execution, Execute plans, Escalate effectively when necessary, Drive simplification of delivery, Reduce repeated work, Remove defects, Structure efforts to avoid failure modes", "teamCollaboration" : "Partner with AP teams; Work with Operations teams; Cross-functional partnership", "projectManagementSkills" : [ "Roadmap planning", "Execution planning" ], "domainKnowledge" : "Accounts Payable; DataNet jobs; AP transaction processing; Generative AI; AI/ML technologies", "domainList" : [ "accounts-payable", "datanet-jobs", "ap-transaction-processing", "generative-ai", "ai-ml-technologies" ], "domainSpecificKnowledge" : [ "Accounts Payable", "DataNet jobs", "AP transaction processing", "Generative AI", "AI/ML technologies" ], "toolProficiency" : [ "DataNet jobs" ], "communicationSkills" : "Communicate to senior management; Write narratives", "innovationCreativity" : "AI/ML adoption; Generative AI adoption; Emerging AI capabilities", "problemSolvingSkills" : "Root cause analysis; Problem triage; Problem breakdown; Troubleshooting", "outcomesObjectives" : "Ensure timely data delivery; Ensure accurate data delivery; Ensure reliable data delivery; Elevate data platform value; Improve system resilience; Reduce operational toil", "qualificationsBasic" : "2+ years processing data with massively parallel technology, 2+ years relational database technology experience, 2+ years developing and operating large-scale data structures for BI analytics, 5+ years data engineering experience, Experience managing a data or BI team, Experience communicating to senior management, Experience leading and influencing data or BI strategy", "qualificationsPreferred" : "Experience with big data technologies, Experience with AWS Tools and Technologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced Data Engineering Manager to lead the team responsible for the infrastructure and reliability of all DataNet jobs that extract, transform, and deliver data from Accounts Payable transaction processing systems. These data pipelines power the dashboards and reports that Operations teams rely on for daily execution, decision-making, and compliance. You will independently own the end-to-end data architecture, drive operational excellence across pipeline health and data quality, and lead a team of data engineers through the full software lifecycle — from design and implementation to monitoring and maintenance. You will define the 3 years strategic vision for the data platform, work backwards from the needs of operations stakeholders, and build mechanisms that ensure timely, accurate, and reliable data delivery at scale. Critically, you will champion the adoption of AI and machine learning technologies — including generative AI — to transform how data pipelines are built, monitored, and consumed, driving intelligent automation, predictive anomaly detection, and AI-powered insights that elevate the value of the data platform beyond traditional reporting. As a people leader, you will hire, develop, and coach a high-performing team, establish engineering best practices, and partner cross-functionally with AP transaction processing teams and operations consumers to continuously improve the data products that drive daily business outcomes. Key job responsibilities - Own the end-to-end infrastructure and reliability of all DataNet jobs pulling data from AP transaction processing systems. - Define and execute the 3 years data architecture roadmap, making team-wide architectural decisions aligned with the broader AP Tech strategy. - Establish SLAs, monitoring mechanisms, and audit metrics for pipeline health, latency, data completeness, and accuracy. - Drive root cause analysis for pipeline failures and build automation to reduce operational toil and improve system resilience. - Partner with AP transaction processing teams to manage upstream data changes, schema evolution, and system migrations. - Work closely with Operations teams to ensure dashboards and reports meet their daily execution and decision-making needs. - Champion the adoption of AI/ML and generative AI technologies to enable intelligent pipeline automation, predictive anomaly detection, and AI-powered data insights. - Evaluate and implement emerging AI capabilities (e.g., auto-healing pipelines, natural language querying, AI-driven data quality monitoring) to future-proof the data platform. - Independently lead a team of data engineers — hire, develop, coach, and performance-manage across multiple levels (up to L5/L6). - Foster a psychologically safe, inclusive team environment; model Leadership Principles and delegate to build future leaders. - Write narratives and strategic documents; participate in OP1/OP2 planning; own the team's charter, vision, and tenets. - Tackle complex problems of up to 15-engineer scope — triage, break down, plan, and execute solutions; escalate effectively when necessary. - Drive simplification of delivery processes; reduce repeated work, remove defects, and structure efforts to avoid classic failure modes. Basic Qualifications: - 2+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience - 2+ years of relational database technology (such as Redshift, Oracle, MySQL or MS SQL) experience - 2+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience - 5+ years of data engineering experience - Experience managing a data or BI team - Experience communicating to senior management and customers verbally and in writing - Experience leading and influencing the data or BI strategy of your team or organization - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with AWS Tools and Technologies (Redshift, S3, EC2) 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" : "Data Engineering Manager for Accounts Payables Technology at ADCI HYD 13 SEZ. Skills: Data Engineering, Data Architecture, AI/ML, Team Leadership. Own infrastructure and reliability of DataNet jobs. Pull data from AP transaction processing systems", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:59:46.092", "lastUpdated" : "2026-06-16T07:32:16.692", "ingestTimestamp" : "2026-06-15T21:59:46.092", "mongoId" : "6a30564bf292fd229cf26f3a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448504/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data pipeline management", "Data quality monitoring", "Data delivery", "Machine learning adoption", "Generative AI adoption", "Pipeline health monitoring", "Data completeness monitoring", "Data accuracy monitoring", "Operational toil reduction", "Dashboard reporting", "Report generation", "AI/ML technology adoption", "AI-driven insights generation", "Pipeline automation", "Anomaly detection", "Data platform future-proofing", "Team development", "Coaching", "Performance management", "Inclusive team modeling", "Strategic planning", "Problem triage", "Problem breakdown", "Execution planning", "Escalation management", "Work simplification", "Defect removal", "Failure mode avoidance", "Leadership", "Data Engineering", "Data Architecture", "AI/ML", "Team Leadership", "Data architecture", "Operational excellence", "System resilience", "Strategic vision", "Intelligent automation", "Predictive anomaly detection", "AI-powered insights", "Engineering best practices", "Root cause analysis", "Schema evolution", "System migrations", "AI capabilities", "Auto-healing pipelines", "Natural language querying", "AI-driven monitoring", "Future-proofing platforms", "Psychologically safe model", "Delegation", "Building leaders", "Strategic narratives", "Simplification of delivery", "Removing defects", "Roadmap planning", "Accounts Payable", "DataNet jobs", "AP transaction processing", "Generative AI", "AI/ML technologies" ], "skillCount" : 61, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6d0574d8ee00a091cc71", "title" : "Product Data Collection Specialist", "company" : "Cartesian Systems", "industry" : "Retail", "salary" : { "min" : 65000.0, "max" : 80000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Cambridge, Massachusetts, United States", "locations" : [ "Cambridge", "Massachusetts", "United States" ], "timestamp" : "2026-06-15T13:30:59.027", "fingerprint" : "46e8f173cff12c4b62ebe7784b9412826af178044836519525ed78a4c7d78002", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cartesiansystems/jobs/4284817009", "externalId" : "4284817009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3656347,-71.1040018" } ], "locationText" : "Cambridge, Massachusetts, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Scripting", "Troubleshooting", "Debugging" ], "hardSkills" : [ { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" } ], "majorSkills" : "Product testing, Data collection, Field operations", "majorSkillsList" : [ "Product testing", "Data collection", "Field operations" ], "coreResponsibilities" : "Conduct product testing, Collect data, Travel to customer sites, Evaluate system performance, Collect datasets, Validate datasets, Analyze datasets, Test new features, Test mobile applications, Test workflows, Investigate bugs, Investigate edge cases, Investigate unexpected behavior, Provide feedback to engineering, Perform basic scripting, Perform troubleshooting, Perform debugging, Improve testing processes, Document testing processes, Improve data collection processes, Document data collection processes, Assist with map edits, Assist with data quality reviews, Assist with operational support", "teamCollaboration" : "Engineering teams; Product teams; Operations teams", "domainKnowledge" : "Indoor environments; Retail industry; In-store inventory visibility", "domainList" : [ "indoor-environments", "retail-industry", "in-store-inventory-visibility" ], "domainSpecificKnowledge" : [ "Indoor environments", "Retail industry", "In-store inventory visibility" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Document processes", "continuousLearning" : "Learning; Execution", "problemSolvingSkills" : "Problem-solving; Investigating problems; Troubleshooting; Debugging", "specialRequirements" : "Regular travel, Occasional regional travel, Travel to retail locations", "outcomesObjectives" : "Improve product accuracy; Improve product reliability; Increase quality; Increase consistency; Increase efficiency; Prioritize issues; Drive improvements", "qualificationsBasic" : "1+ years experience, Associate's or Bachelor's degree, Technical field degree, Equivalent practical experience", "qualificationsPreferred" : "Product testing experience, Field testing experience, QA experience, Beta testing experience, Experience collecting data, Experience validating data, Experience analyzing data, Retail experience, Customer support experience, Customer success experience, Field operations experience, Deployment roles experience, Python familiarity, SQL familiarity, Data analysis tools familiarity, Data pipelines support, Data quality monitoring support, Operational tooling support, Spanish language proficiency, Startup experience, Early-stage company experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Cartesian Cartesian is building spatial intelligence for indoor environments to drive operational efficiency. We’re tackling one of the biggest challenges in the $35T global retail industry: in-store inventory visibility. Our platform delivers accurate indoor positioning and actionable product location insights, helping retailers streamline operations, optimize workflows, and reduce inefficiencies. By fusing wireless signals and mobile computer vision, we provide a uniquely scalable, infrastructure-free solution already deployed by international fashion brands. Founded by an MIT engineering professor and alumni behind award-winning, patented core technologies, Cartesian spun out in 2023. Originally backed by a U. S. National Science Foundation SBIR Award, we’ve bootstrapped to a live product now deployed in multiple countries and are scaling aggressively. About the Role We are looking for a Product Data Collection Specialist to join Cartesian at a pivotal moment in our growth. This is a hands-on, impact-driven role focused on product testing, field operations, and data collection. You will spend significant time in retail environments evaluating product performance, collecting and validating data, identifying issues, and helping ensure our technology performs reliably in real-world conditions. Success in this role requires curiosity, attention to detail, and a strong sense of ownership. You should enjoy investigating problems, working directly with customers and retail environments, and collaborating closely with engineering, product, and operations teams to improve both our product and our processes. Location: In-person in Kendall Square, Cambridge, with regular travel to retail stores throughout the Boston area and occasional regional travel. Salary: $65,000 - $80,000 annually What You’ll Do Conduct product testing and data collection in retail store environments Travel to customer sites to evaluate system performance under real-world conditions Collect, validate, and analyze datasets used to improve product accuracy and reliability Test new product features, mobile applications, and workflows before deployment Investigate bugs, edge cases, and unexpected behavior, providing detailed feedback to engineering teams Perform basic scripting, troubleshooting, and debugging to support testing activities Improve and document testing and data collection processes to increase quality, consistency, and efficiency Assist with map edits, data quality reviews, and operational support activities Collaborate closely with engineering, product, and operations teams to prioritize issues and drive improvements Become a product expert and help represent customer and field perspectives within the organization Qualifications 1+ years of experience in a technical, operational, support, research, testing, or related role Strong attention to detail and ability to execute rigorous, repeatable testing processes Experience running scripts and working with technical tools Basic Python programming or scripting experience Strong problem-solving skills and ability to work independently in ambiguous environments Excellent written and verbal communication skills Professional, customer-facing demeanor Ability and willingness to travel regularly to retail locations Reliable, accountable, and highly organized Associate's or Bachelor's degree in a technical field or equivalent practical experience Nice to Have Experience with product testing, field testing, QA, or beta testing Experience collecting, validating, or analyzing data Experience in retail, customer support, customer success, field operations, or deployment roles Familiarity with Python, SQL, or data analysis tools Experience supporting data pipelines, data quality monitoring, or operational tooling Spanish language proficiency Startup or early-stage company experience Why Cartesian Work on hard, real-world problems with immediate and visible impact Join a small, highly technical team with significant ownership and autonomy Build systems that are deployed and used globally Collaborative, thoughtful, low-ego culture focused on learning and execution Opportunity to become a product expert and grow into roles across operations, deployment, testing, and product In-person team culture in the heart of Kendall Square, Cambridge If You’re Not Sure You’re a Perfect Fit We know that no one checks every box—and we don’t expect you to. If this role sounds exciting to you, and you think you could contribute to Cartesian’s mission, we encourage you to apply even if your experience doesn’t perfectly match the description. We care deeply about people who are curious, thoughtful, and motivated to learn, and we believe strong teams are built from a diversity of backgrounds, experiences, and perspectives. Interview Process Introductory conversation focused on motivation, background, and fit Technical exercise involving testing, analysis, and basic coding/problem-solving Follow-up technical discussion focused on reasoning, troubleshooting, and decision-making Final conversation with the hiring manager focused on ownership, communication, and culture fit References and offer", "summaryDescription" : "Product Data Collection Specialist at Cartesian Systems. Skills: Product testing, Data collection, Field operations. Conduct product testing. Collect data", "postedDate" : "2026-06-14T08:43:04.758", "createdAt" : "2026-06-14T08:43:04.758", "lastUpdated" : "2026-06-15T13:30:59.027", "ingestTimestamp" : "2026-06-14T08:43:04.758", "mongoId" : "6a2c6d0574d8ee00a091cc71", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 80000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Scripting", "Troubleshooting", "Debugging", "Product testing", "Data collection", "Field operations", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Indoor environments", "Retail industry", "In-store inventory visibility" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde3e52beec4dd3d9a03fa", "title" : "Data Analysis and Quality Assurance Director", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 155000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Data Analysis and Quality Assurance in Austin, Texas, adjusted for government industry and seniority." }, "location" : "826770", "locations" : [ "826770", "
Austin:1117 Trinity St (320TX-4002)
1117 Trinity St
Austin, 78701-1919

" ], "timestamp" : "2026-06-15T08:50:23.902", "fingerprint" : "59540f617c815fc9a9369d5c690638b92eadeb9abb68f7061cbad208bee2e008", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34107", "externalId" : "34107", "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" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Strategic planning", "Policy development", "Data analysis", "Reporting", "Quality assurance", "Process improvement", "Forecasting", "Modeling" ], "hardSkillsList" : [ "Data reporting", "Data analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data reporting", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Quality assurance, Data engineering, Machine learning", "majorSkillsList" : [ "Data analysis", "Quality assurance", "Data engineering", "Machine learning" ], "coreResponsibilities" : "Direct data reporting and analysis activities, Develop techniques for analyzing and reporting data, Remain compliant with state and federal rules, Develop and establish goals and objectives, Provide direction, guidance, and assistance in developing reports, Provide direction, guidance, and assistance in collecting data, Review and approve reports, Review and approve data collection, Review and approve analysis, Ensure accuracy of reports, Ensure quality reports are distributed, Review guidelines, procedures, rules, Monitor compliance related to contract and procurement databases, Make recommendations to improve data collection, Make recommendations to improve data analysis, Plan, develop, and approve schedules, Plan, develop, and approve priorities, Plan, develop, and approve standards, Review results of special investigations, Review results of internal audits, Review results of research studies, Review results of forecasts, Review results of modeling exercises, Provide direction and guidance, Perform advanced managerial work, Provide direction and guidance in strategic operations, Provide direction and guidance in planning, Establish goals and objectives, Respond to audit requests, Develop guidelines, procedures, policies, rules, and regulations, Develop schedules, priorities, and standards, Coordinate data collection, Coordinate reporting, Coordinate quality, Evaluate data collection, Evaluate reporting, Evaluate quality, Develop data reports, Develop policies and procedures for producing quality reports, Develop policies and procedures for maintaining data integrity, Plan work of others, Assign work of others, Supervise work of others", "teamCollaboration" : "Cross-functional teams; Internal audits; External audits", "projectManagementSkills" : [ "Strategic planning", "Policy development", "Roadmap planning" ], "domainKnowledge" : "Procurement; Contract management; State data reporting; Federal regulations", "domainList" : [ "procurement", "contract-management", "state-data-reporting", "federal-regulations" ], "domainSpecificKnowledge" : [ "Procurement", "Contract management", "State data reporting", "Federal regulations" ], "toolProficiency" : [ "Dbt Cloud" ], "communicationSkills" : "Executive presentations; Technical documentation; Client meetings", "documentationSkills" : "Technical writing; API documentation; Architecture diagrams", "continuousLearning" : "Training and development opportunities", "innovationCreativity" : "Innovative ideas; Streamline processes", "problemSolvingSkills" : "Problem solver; Root cause analysis; Data-driven decision making", "specialRequirements" : "Texas resident required, Relocate to Texas required", "outcomesObjectives" : "Ensure departmental processes are impartial; Ensure departmental processes are transparent; Ensure departmental processes are professional; Acquisitions of program services for the State", "qualificationsBasic" : "Five years of experience in oversight and direction of an agency or in strategic planning and policy development and implementation, Two years of experience in administrative management or supervisory capacity, Two years of experience in data collection and analysis, One year experience in management and direction of staff relevant to data collection and analysis, Experience with state data reporting and analysis", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Analysis and Quality Assurance (DAQA) Director Who We Are: Texas Workforce Commission connects people with careers across the state. We are based in Austin on the east side of the Texas State Capitol, in the Business Operations Division located at 1117 Trinity Street in Austin. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. Who You Are: A self-starting, motivated, collaborative problem solver who understands the value of data analysis in measurement of procurement and contract related activities for the Procurement and Contract Services Department. You should share our department’s mission to provide excellent customer service and ensure that departmental processes are impartial, transparent, and professional. You should be innovative and open to new ideas to streamline existing processes. We strive to ensure that acquisitions of program services are conducted with the best outcome for the State in mind. What you Will Do: The Data Analysis and Quality Assurance (DAQA) Director: -Directs data reporting and analysis activities. -Develops and implements techniques for analyzing and reporting data in meaningful ways and remains compliant with state and federal rules and regulations. -Develops and establishes goals and objectives consistent with the agency policy and procedure. -Provides direction, guidance, and assistance in developing reports and collecting data related to contracts and procurement. -Reviews and approves reports, data collection and analysis, and ensures accuracy and that quality reports are distributed. -Reviews guidelines, procedures, rules, and regulations; and monitors compliance related to contract and procurement databases. -Makes recommendations to improve data collection and analysis. -Plans, develops, and approves schedules, priorities, and standards for achieving goals. -Reviews results of special investigations, internal audits, research studies, forecasts, and modeling exercises to provide direction and guidance. -Performs advanced (senior-level) managerial work providing direction and guidance in strategic operations and planning. Works under minimal supervision, with extensive latitude for the use of initiative and independent judgment. You Will be Trusted To: -Establish goals and objectives. -Respond to audit requests from internal and external entities. -Develop guidelines, procedures, policies, rules, and regulations. -Develop schedules, priorities, and standards for achieving established goals. -Coordinate and evaluate data collection, reporting, and quality. -Develop and evaluate data reports and policies and procedures for producing quality reports and maintaining data integrity. -Plan, assign, and supervise the work of others. -Work under limited supervision, with considerable latitude for the use of initiative and independent judgment. -Performs other duties as assigned. You Qualify With: -Five years of full-time experience in the oversight and direction of an agency program; or in strategic planning and policy development and implementation, two years of which must have been in an administrative management or supervisory capacity. -Relevant academic credits may be applied toward experience qualifications for this position. You Are a Great Fit With: -A minimum of two years’ experience in data collection and analysis. -One year experience in the management and direction of staff relevant to data collection and analysis. -Experience with state data reporting and analysis. You Gain: -A Family Friendly Certified Workplace. -Competitive starting salary: $9,166.67 to $9,583.34/month, depending on experience -Defined Retirement Benefit Plan -Optional 401(k) and 457 accounts -Medical Insurance -Paid time off, including time for vacation, sick and family care leave -Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_ProgramManagement.pdf HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Data Analysis and Quality Assurance Director at Texas Workforce Commission. Skills: Data analysis, Quality assurance, Data engineering, Machine learning. Direct data reporting and analysis activities. Develop techniques for analyzing and reporting data", "createdAt" : "2026-06-14T01:12:18.507", "lastUpdated" : "2026-06-15T08:50:23.902", "ingestTimestamp" : "2026-06-14T01:12:18.507", "mongoId" : "69dde3e52beec4dd3d9a03fa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data reporting", "Data analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Quality assurance", "Data engineering", "Machine learning", "Strategic planning", "Policy development", "Reporting", "Process improvement", "Forecasting", "Modeling", "Roadmap planning", "Procurement", "Contract management", "State data reporting", "Federal regulations", "Dbt Cloud" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677aa8", "title" : "Sales Data Analysis", "company" : "Beijing Mercedes-Benz Sales Service Co.", "industry" : "Retail", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a junior sales data analyst in Beijing, China, with adjustments for the automotive industry and company size." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "Daimler Tower, 8 Wangjing Street, , Beijing" ], "timestamp" : "2026-06-15T13:43:47.516", "fingerprint" : "6cb0dd412af2e7f9ea9660c00f521a0f4655e5f18db98b0278517305d4f706d0", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=883272", "externalId" : "883272", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, Tableau, Power BI", "professionalSkills" : [ "Market trend analysis", "Sales performance analysis", "Data visualization" ], "hardSkillsList" : [ "Data extraction", "Data processing", "Data validation", "Sales reporting", "Dashboard creation" ], "hardSkills" : [ { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Sales reporting", "level" : "intermediate" }, { "name" : "Dashboard creation", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Sales reporting, Data visualization", "majorSkillsList" : [ "Data analysis", "Sales reporting", "Data visualization" ], "coreResponsibilities" : "Extract, process, and validate sales data, Support sales reporting and performance, Prepare accurate and timely sales reports, Assist in market trend analysis, Assist in ad-hoc topics analysis, Prepare presentation for sales related, Collaborate with IT and data teams, Ensure data integrity and accessibility, Cleanse and validate data, Maintain data extraction processes and scripts, Report on sales KPIs, Deliver month-end/year-end retail landing results, Create dashboards, analysis, reports, and visualizations, Provide business insight, Analyze market trends and sales performance, Support tactical teams with data, Help prepare presentation materials, Document data extraction and reporting processes, Improve data structures and reporting efficiency, Ensure compliance with data security and governance policies", "teamCollaboration" : "Collaborate with IT; Collaborate with data teams", "domainKnowledge" : "Sales reporting; Automotive industry; Sales industry", "domainList" : [ "sales-reporting", "automotive-industry", "sales-industry" ], "domainSpecificKnowledge" : [ "Sales reporting", "Automotive industry", "Sales industry" ], "toolProficiency" : [ "SQL", "Python", "R", "Excel Power Query", "Tableau Prep", "Alteryx", "Tableau", "Power BI" ], "communicationSkills" : "Presentation preparation", "documentationSkills" : "Document data extraction; Document reporting processes", "problemSolvingSkills" : "Data analysis; Ad-hoc analysis", "outcomesObjectives" : "Support sales reporting and performance; Prepare accurate and timely sales reports; Deliver month-end/year-end retail landing results", "qualificationsBasic" : "Bachelor degree or above, Data analysis tools or scripting, SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, English level CET 6", "qualificationsPreferred" : "Data Science, Business, Information Systems, or related fields, Familiarity with data visualization tools, 2 years' experience in data extraction, reporting, or automotive or sales industry background, High attention to detail, Commitment to data accuracy", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Objective of job: 1. Extract, process, and validate sales data from data lakes and databases using data analysis tools or scripting methods (SQL, database, & etc.) to support sales reporting and performance tracking; 2. Prepare accurate and timely sales reports to support sales steering; 3. Assist in market trend analysis and ad-hoc topics analysis ; 4. Presentation preparation for sales related topics; 5. Collaborate with IT and data teams to ensure data integrity and accessibility for sales reporting. Task description: 1. Data Extraction & Processing - Extract sales data from data sources using appropriate tools or scripts - Cleanse and validate data to ensure accuracy and consistency - Maintain data extraction processes and scripts (where applicable) 2. Sales Reporting & Dashboards - Responsible for in-time and accurate operational report and analysis for central and region sales & marketing (daily reports) - Proactively reporting on sales KPIs include but not limited to sales pace, RT/WS TA achievement, showroom traffic, order performance and sales funnel on different data granularities - Month-end/year-end retail landing result delivery - Leading interpretation of business requirements to create dashboards, analysis, reports, and other data visualizations that provide business insight 3. Basic Market & Sales Analysis - Assist in analyzing market trends and sales performance based on extracted data - Support tactical teams with data for ad-hoc analysis - Help prepare presentation materials with reliable data inputs 4. Process & Data Governance - Document data extraction and reporting processes - Work with IT to improve data structures and reporting efficiency - Ensure compliance with data security and governance policies. - Bachelor degree or above, preferably in Data Science, Business, Information Systems, or related fields. - Practical experience in using data analysis tools or scripting for data extraction and processing (e.g., SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, or similar). - Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. - English level-CET 6 and above. - 2 years’ experience in data extraction, reporting, or analysis; automotive or sales industry background preferred. - High attention to detail and a strong commitment to data accuracy. Beijing Mercedes-Benz Sales Service Co., Ltd.", "summaryDescription" : "Sales Data Analysis at Beijing Mercedes-Benz Sales Service Co.. Skills: Data analysis, Sales reporting, Data visualization. Extract, process, and validate sales data. Support sales reporting and performance", "createdAt" : "2026-06-14T06:42:27.615", "lastUpdated" : "2026-06-15T13:43:47.516", "ingestTimestamp" : "2026-06-14T06:42:27.615", "mongoId" : "69ce5e3b9bc74574cb677aa8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data extraction", "Data processing", "Data validation", "Sales reporting", "Dashboard creation", "Data analysis", "Data visualization", "Market trend analysis", "Sales performance analysis", "Automotive industry", "Sales industry", "SQL", "Python", "R", "Excel Power Query", "Tableau Prep", "Alteryx", "Tableau", "Power BI" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7ce074d8ee00a094e8cd", "title" : "Director of Quantum Technologies", "company" : "Heven AeroTech", "salary" : { "min" : 225000.0, "max" : 325000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Director of Quantum Technologies in Sterling, United States, adjusted for seniority, industry, and company size." }, "location" : "Winchester, Virginia, United States", "locations" : [ "Winchester", "Virginia", "United States" ], "timestamp" : "2026-06-16T01:33:34.489", "fingerprint" : "664beb974f95a704b50aa0aea8915620434502a785f933f65364f525a20f5ba3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hevenaerotech/jobs/4243327009", "externalId" : "4243327009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sterling", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.0036850,-77.4083096" }, { "city" : "Winchester", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.1852184,-78.1652404" } ], "locationText" : "Sterling, Virginia, United States; Winchester, Virginia, United States", "experienceLevel" : "Director", "rawDescription" : "Title: Director, Quantum Technologies Company: Heven AeroTech Location: Sterling, Virginia & Winchester, Virginia FLSA: Exempt About Our Company: At Heven AeroTech (Heven), we don’t just believe in the power of people—we build our success on it. As a recognized leader in hydrogen-powered drones, we’ve earned recognition for creating a workplace where innovation thrives, collaboration is second nature, and every employee feels valued. Our culture is anchored in trust and a shared commitment to excellence. We believe great teams are built on individuals who are humble, hungry, and smart—those who prioritize team success over individual recognition, take initiative to continuously improve, and demonstrate strong interpersonal awareness. At Heven, your voice matters, your ideas are heard, and your contributions make a tangible impact as you grow through hands-on experience and collaboration across the team. Role Summary: The Director of Quantum Technologies is responsible for building and advancing Heven AeroTech’s quantum capabilities to support defense and national security missions. This role focuses on identifying practical, high-impact applications of quantum technologies, including sensing, secure communications, and advanced computing, and translating them into deployable systems that perform in contested and GPS-denied environments. This leader works across Engineering, Product, and Business Development to connect emerging technologies with real mission needs, helping shape programs, partnerships, and long-term growth. Success in this role requires a balance of technical depth, execution focus, and customer alignment—paired with the humility to listen and adapt, the hunger to push progress forward, and the interpersonal intelligence to lead effectively across teams and stakeholders. Essential Responsibilities: Develop and execute a focused quantum roadmap aligned with defense priorities and mission needs, demonstrating ownership and urgency in delivering results Identify and prioritize high-value applications, balancing speed, risk, and impact while continuously seeking better approaches Provide clear, grounded input to leadership on technical direction, tradeoffs, and investment decisions, with the confidence to challenge assumptions constructively Lead and support capture efforts across SBIR/STTR, OTA, and programs of record with persistence and a proactive mindset Build trusted relationships with DoD stakeholders, primes, and research partners through credibility, transparency, and strong interpersonal judgment Align technical development with customer needs to convert capability into funded programs Oversee development, prototyping, and integration of quantum capabilities into Heven platforms, staying closely engaged with execution details Drive transition from early-stage work into operational systems and scalable programs, maintaining momentum through ambiguity and change Ensure solutions are practical, fieldable, and aligned with system-level constraints Partner closely with Engineering, Product, and Manufacturing, fostering collaboration and shared ownership of outcomes Support system-level trade studies, testing, and iterative refinement with openness to feedback and learning Stay connected to real-world constraints and adjust approach as needed without ego or rigidity Build and lead a focused, high-performing team of scientists, engineers, and program leaders Set clear priorities and expectations while remaining accessible and engaged with the team Foster a culture of accountability, continuous learning, and mutual respect Mentor and develop team members, investing in their growth and success Ensure alignment with DoD acquisition processes and program requirements Maintain compliance with ITAR/EAR and security standards Support execution of work in secure and classified environments Qualifications & Experience: Required: Advanced degree in Quantum Physics, Engineering, or related field (PhD preferred) 10–15+ years of experience in quantum technologies, defense systems, or applied R&D Experience transitioning technologies from research into operational or defense applications Familiarity with defense acquisition, program capture, and contract execution Strong understanding of at least one quantum domain (sensing, communications, or computing) Demonstrated ability to lead with humility, take initiative, and build strong, trust-based relationships Ability to obtain and maintain a security clearance Preferred: Experience working with DoD, DARPA, or national laboratories Background in aerospace, autonomy, or unmanned systems Experience in fast-paced or scaling environments, with a track record of stepping in where needed to drive outcomes Established relationships within defense and/or quantum ecosystems Proven ability to influence across technical and non-technical stakeholders with strong interpersonal awareness Physical Requirements: Ability to work in a standard office environment, including prolonged periods of sitting, standing, and working at a computer Ability to communicate effectively with team members, partners, and stakeholders in person, via video, and by phone Ability to occasionally travel to customer sites, test ranges, manufacturing facilities, and partner locations, which may include air and ground travel Ability to access and move within laboratory, manufacturing, and test environments, which may include walking, standing, climbing stairs, and navigating uneven terrain Ability to occasionally lift and carry items up to 20 pounds (e.g., equipment, prototypes, or materials) Ability to use standard office and technical equipment, including computers and communication devices Ability to work in secure or classified environments in accordance with facility and government requirements Ability to comply with applicable safety requirements, including the use of personal protective equipment (PPE) when required in lab or field settings Benefits Overview: Heven AeroTech offers a competitive benefits package designed to support the health, financial security, and overall well-being of our employees and their families. Benefits include medical, dental, and vision coverage, retirement plans, paid time off/sick, and additional protections such as critical illness, hospital indemnity, accident coverage, and short- and long-term disability. Equal Employment Opportunity Statement: Heven AeroTech is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under applicable law.", "summaryDescription" : "Director of Quantum Technologies at Heven AeroTech", "postedDate" : "2026-06-14T20:11:40.156", "createdAt" : "2026-06-14T20:11:40.156", "lastUpdated" : "2026-06-16T01:33:34.489", "ingestTimestamp" : "2026-06-14T20:11:40.156", "mongoId" : "6a2c7ce074d8ee00a094e8cd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 225000, "salaryAnnualMax" : 325000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c92ed74d8ee00a0986e16", "title" : "Data Analyst with AI skills", "company" : "Xebia", "industry" : "Consulting", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Analyst with AI skills in the Technology industry in Poland, adjusted for seniority and company size." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-15T07:48:47.231", "fingerprint" : "0f36e4ca63cac5c29d11a406b789aac2663931e086e62ca839a94649afcb6e98", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/xebiacee/jobs/6018324004", "externalId" : "6018324004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Poland", "technicalSkills" : "Python, Jupyter Notebooks, Pandas, NumPy, DuckDB, SQL, APIs, AWS, Azure, GCP, Databricks, Snowflake, Docker, Kubernetes", "professionalSkills" : [ "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "ETL development", "Data modelling", "Data warehousing", "Data governance", "Data security", "Performance optimization" ], "hardSkillsList" : [ "Data pipeline development", "Data transformation", "Data validation", "Data documentation", "Data ingestion", "SQL optimization", "Dashboard design", "KPI prioritization", "BI dashboard creation", "Data analysis" ], "softSkillsList" : [ "Independent" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data documentation", "level" : "intermediate" }, { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "SQL optimization", "level" : "intermediate" }, { "name" : "Dashboard design", "level" : "intermediate" }, { "name" : "KPI prioritization", "level" : "intermediate" }, { "name" : "BI dashboard creation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Independent" } ], "majorSkills" : "Data pipelines, Business Intelligence, Data products, Cloud infrastructure", "majorSkillsList" : [ "Data pipelines", "Business Intelligence", "Data products", "Cloud infrastructure" ], "coreResponsibilities" : "Lead development of scalable ETL/analytics pipelines, Lead development of customer-facing analytics, Work with stakeholders to clarify questions, Map metrics to available data, Prioritize feasible KPIs, Build reliable pipelines, Ingest data, Validate data, Transform data, Document data, Design BI dashboards, Generate insightful dashboards, Enable customers to filter data, Enable customers to analyze data, Ensure solutions scale across customers, Leverage cloud infrastructure, Optimize performance", "teamCollaboration" : "Work with stakeholders; 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Turn data into workflows; Turn data into data products; Provide visual insights into KPIs", "qualificationsBasic" : "Proven experience developing data pipelines, Hands-on use of Pandas, Hands-on use of NumPy, Hands-on use of DuckDB, Familiarity with cloud environments, Expertise in SQL, Experience using BI tools, Expertise in dashboard design", "qualificationsPreferred" : "Experience with Apache Superset, Hands-on experience with cloud environments, Hands-on experience with containerization technologies, Knowledge of rights management in BI tools, Familiarity with parallelizing ETL processes, Familiarity with workflow orchestration", "remoteFriendly" : true, "rawDescription" : "Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. About the project: We are building a modern analytics and Business Intelligence solution that integrates operational data from multiple ERP systems across countries, and turns it into reliable, customer-facing insights, analytical workflows, and reusable data products. You will be: leading the development of scalable ETL/analytics pipelines and customer-facing analytics - from requirements through published datasets and usable dashboards - for multi-tenant customer setups, working with stakeholders to clarify questions and metrics, map them to available ERP/operational data, and prioritize KPIs that are feasible, testable, and maintainable, building reliable pipelines that ingest, validate, transform, and document data into curated, analysis-ready datasets (e. g. columnar/Parquet outputs, consistent schemas), suitable for SQL-based reporting and dashboards, designing and implementing BI dashboards that use curated data to provide visual insights into relevant KPIs, enabling customers to filter, analyze, and interpret data with ease, ensuring solutions can scale across multiple customers with minimal effort, leveraging cloud infrastructure and optimizing performance where necessary. Your profile: strong ability to work independently and proactively in a fast-paced project, knowledgable in advanced AI tooling for productivity, including MCP, agent skills, harness engineering (Claude code/Cursor/Codex), Worktrees, proven experience developing data pipelines using Python and Jupyter Notebooks, hands-on use of Pandas, NumPy, and DuckDB (or equivalent analytical SQL engines) for transforms, validation, and performance-conscious processing, familiarity with cloud environments and utilizing SDKs to extract data from various sources, including Azure, AWS, APIs, and SQL databases, expertise in SQL for data manipulation and creating normalized datasets from multiple systems, experience using BI tools to create and manage datasets and generate insightful dashboards, expertise in dashboard design, including the use of filters and other interactive elements for deep data analysis, experience with Apache Superset is a strong plus. Work from the European Union region and a work permit are required. Nice to have: hands-on experience with cloud environments and containerization technologies (e.g., Docker, Kubernetes), knowledge of rights management in BI tools for data security and access control, familiarity with parallelizing ETL processes and workflow orchestration to improve efficiency and scalability. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision", "summaryDescription" : "Data Analyst with AI skills at Xebia. Skills: Data pipelines, Business Intelligence, Data products, Cloud infrastructure. Lead development of scalable ETL/analytics pipelines. Lead development of customer-facing analytics", "postedDate" : "2026-06-13T21:27:17.668", "createdAt" : "2026-06-13T21:27:17.668", "lastUpdated" : "2026-06-15T07:48:47.231", "ingestTimestamp" : "2026-06-13T21:27:17.668", "mongoId" : "6a2c92ed74d8ee00a0986e16", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data pipeline development", "Data transformation", "Data validation", "Data documentation", "Data ingestion", "SQL optimization", "Dashboard design", "KPI prioritization", "BI dashboard creation", "Data analysis", "Independent", "Data pipelines", "Business Intelligence", "Data products", "Cloud infrastructure", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "ETL development", "Data modelling", "Data warehousing", "Data governance", "Data security", "Performance optimization", "AI tooling", "Cloud data stacks", "ML frameworks", "BI platforms", "Operational data", "Multi-tenant setups", "Columnar/Parquet outputs", "Analysis-ready datasets", "Curated datasets", "ERP systems", "Jupyter Notebooks", "Pandas", "NumPy", "DuckDB", "Apache Superset", "Docker", "Kubernetes" ], "skillCount" : 42, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8c4974d8ee00a0974fd8", "title" : "Mechanical Engineer, Sensing", "company" : "OpenAI", "industry" : "Research", "salary" : { "min" : 266000.0, "max" : 310000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-15T22:50:54.889", "fingerprint" : "4e904b3f03bdc7bc5d4807cd3afb361425a6840c511da7daf45d0f3a2a48a6b3", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/openai/61e8051b-6510-448d-b4b1-b9836518462e/application", "externalId" : "61e8051b-6510-448d-b4b1-b9836518462e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking a Mechanical Engineer to design and prototype novel tactile, proprioceptive and force sensor solutions. You will work closely with experienced engineers and cross-functional partners to set functional requirements, develop and iterate on hardware to meet program expectations. This role is aimed at candidates with strong fundamentals in mechanical system design and robotic sensing including tactile sensors, force sensing and position sensing. You will contribute to real hardware programs moving from prototype through early production. You will lead both new sensor subsystem development and ongoing improvements to existing systems based on testing, field performance, and manufacturing feedback. This role is based in San Francisco, CA, and requires in-person presence 4 days a week. In this role, you will - Lead the design and iteration of mechanical subsystems, including tactile sensors, load cells, force torque sensors and joint encoders. - Create and maintain CAD models, assemblies, and drawings with appropriate tolerancing and documentation. - Build and test prototypes, supporting debugging of mechanical issues such as fit, alignment, friction, and wear. - Assist in developing test methods and executing validation to evaluate performance, durability, calibration and failure modes. - Work with cross-functional teams to integrate mechanical components with sensors, actuators, and control systems. - Support transition of designs from prototype to manufacturable assemblies, incorporating DFM and DFA considerations. - Collaborate with manufacturing partners and internal build teams to support assembly, troubleshooting, and process improvement. - Analyze test results and field data to identify issues and drive iterative design improvements. - Document designs, test results, and changes to support repeatability and production readiness. - Support sustaining engineering efforts by investigating failures, tracking issues, and implementing corrective actions. You might thrive in this role if you - Have strong mechanical intuition and have previous experience designing nove mechanical or electrical subsystems for robotic subsystems. - Enjoy hands-on work building, testing, and debugging physical systems. - Are comfortable iterating quickly and learning from incomplete or evolving requirements. - Can break down problems and work through details such as tolerances, interfaces, and assembly constraints. - Are proactive in seeking feedback and alignment with crossfunctional partners. - Are detail-oriented and value clear documentation and repeatability. - Have experience scaling physical products from prototyping through high volume production. Preferred qualifications - Bachelor’s degree or Master’s degree in Mechanical Engineering or a related field. - 5+ years experience in mechanical design, robotics, or electromechanical systems. - Experience with CAD tools (e.g., NX, SolidWorks, or similar). - Familiarity with manufacturing processes such as machining, screen printing, lamination, molding, or basic fabrication methods. - Familiarity with high volume GD&T, engineering drawings and tolerancing practices. - Experience with prototyping, lab work, or hardware bring-up. - Experience working on multidisciplinary projects involving hardware and software integration. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "summaryDescription" : "Mechanical Engineer, Sensing at OpenAI", "createdAt" : "2026-06-14T19:29:23.322", "lastUpdated" : "2026-06-15T22:50:54.889", "ingestTimestamp" : "2026-06-14T19:29:23.322", "mongoId" : "6a2c8c4974d8ee00a0974fd8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 266000, "salaryAnnualMax" : 310000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2523df74d8ee00a00e05fe", "title" : "Data Collection Contractor", "company" : "Obvio", "industry" : "Operations", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Data Collection Contractor in College Park, United States, adjusted for the technology industry." }, "location" : "College Park, MD / Mid-Atlantic Region", "locations" : [ "College Park, MD / Mid-Atlantic Region" ], "timestamp" : "2026-06-14T21:26:35.490", "fingerprint" : "9b7d9c750499c5d98ae545bab4909996fb8ad1d00d710512cbe55f4603c99a10", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/obvio/4effa14c-d785-4703-a1a2-19d90f8d4bb0/application", "externalId" : "4effa14c-d785-4703-a1a2-19d90f8d4bb0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "College Park", "state" : "Maryland", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9806660,-76.9369189" }, { "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "workMode" : "onsite" }, { "state" : "Delaware", "country" : "United States", "continent" : "na", "workMode" : "onsite" }, { "state" : "Virginia", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "College Park, Maryland, United States; Pennsylvania, United States; Delaware, United States; Virginia, United States", "employmentType" : "CONTRACT", "professionalSkills" : [ "Traffic behavior studies", "Field data collection", "AI traffic safety" ], "hardSkillsList" : [ "Equipment setup", "Data upload" ], "softSkillsList" : [ "Dependable", "Attention to detail" ], "hardSkills" : [ { "name" : "Equipment setup", "level" : "intermediate" }, { "name" : "Data upload", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Dependable" }, { "name" : "Attention to detail" } ], "majorSkills" : "Data collection, Field operations", "majorSkillsList" : [ "Data collection", "Field operations" ], "coreResponsibilities" : "Travel to traffic study deployment locations, Set up roadside traffic study equipment, Monitor roadside traffic study equipment, Deploy multiple cameras or sensors, Manage multiple cameras or sensors, Monitor study location, Ensure equipment is positioned safely, Ensure equipment is positioned accurately, Ensure equipment is positioned consistently, Follow field procedures, Follow safety protocols, Follow deployment instructions, Upload collected data, Recharge provided equipment, Maintain provided equipment, Coordinate with Obvio team, Meet with team in College Park", "teamCollaboration" : "Coordinate with Obvio team", "domainKnowledge" : "AI; Transportation technology; Public safety; Smart cities", "domainList" : [ "ai", "transportation-technology", "public-safety", "smart-cities" ], "domainSpecificKnowledge" : [ "AI", "Transportation technology", "Public safety", "Smart cities" ], "specialRequirements" : "Travel up to two hours roundtrip, Availability 3-4 days per week, Periodic meetings in College Park", "qualificationsBasic" : "Personal vehicle, Valid driver's license, Willingness to travel, Reliable home internet, Ability to recharge equipment", "qualificationsPreferred" : "Technical education or experience, Computer science background, Engineering background, Data science background, Transportation background, Field operations background, Recent graduates encouraged, Graduate students encouraged, Hands-on technical field experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT OBVIO AI Each year, more than 40,000 people in the U.S. leave home and never make it back due to traffic crashes. At Obvio, we believe these deaths are preventable. We deploy solar-powered, AI-assisted cameras to enforce traffic laws where pedestrians are most vulnerable—automating enforcement in ways that traditional systems cannot. Our approach has already led to a 50% reduction in reckless driving in early partner cities. Founded by the team behind Motive's AI dashcam and backed by Bain Capital Ventures and Khosla Ventures, we are building the intelligence layer for safer streets globally. ABOUT THE OPPORTUNITY Obvio is seeking a contract Field Data Collection Technician to support traffic behavior studies across the Mid-Atlantic region, including Pennsylvania, Delaware, Maryland, and Virginia. These studies will focus on areas such as school zones, high-incident intersections, and busy pedestrian corridors. This is a high-visibility initiative, with findings expected to be shared with media outlets, local newspapers, and public officials. This opportunity is ideal for someone who enjoys hands-on technical work, is comfortable working independently in the field after training, and has an interest in AI, transportation technology, public safety, or real-world data collection. Contractors will receive all necessary field equipment, including tripods, cameras, speed sensors, laptops, safety vests, and related materials. Obvio will also provide training on field deployment procedures, equipment setup, safety expectations, and data upload requirements. WHAT YOU’LL DO - Travel to traffic study deployment locations across the Mid-Atlantic region - Set up and monitor roadside traffic study equipment, including cameras, speed sensors, tripods, laptops, and related hardware - Deploy and manage multiple cameras or sensors at once according to study guidelines - Monitor each study location for approximately two hours - Ensure equipment is positioned safely, accurately, and consistently - Follow Obvio’s field procedures, safety protocols, and deployment instructions - Upload collected data at the end of each day using a reliable home internet connection - Recharge and maintain provided equipment, including laptops and field hardware - Coordinate with the Obvio team based in College Park as needed - Meet with the team in College Park, MD from time to time for training, equipment handoff, or operational coordination WHAT WE’RE LOOKING FOR - Highly motivated, dependable, and comfortable working independently in the field - Strong attention to detail and ability to follow technical instructions carefully - Comfortable transporting, setting up, and troubleshooting field equipment - Willingness to work outdoors and adapt to changing field conditions - Interest in AI, transportation technology, smart cities, public safety, or real-world data collection - Comfortable with a flexible field schedule based on deployment needs - Technical education or experience preferred, such as computer science, engineering, data science, transportation, field operations, or a related area - Recent graduates, graduate students, or candidates with hands-on technical field experience are encouraged to apply REQUIREMENTS - Personal vehicle for transporting equipment to deployment locations - Valid driver’s license - Willingness to travel to field sites across Pennsylvania, Delaware, Maryland, and Virginia - Ability to travel up to approximately two hours roundtrip per day, depending on deployment location - Access to reliable home internet, not a mobile hotspot, for end-of-day data uploads - Ability to recharge the provided laptop and equipment daily - Availability for 3–4 days per week, with hours varying based on study schedules and travel needs - Ability to periodically meet with the team in College Park, MD WHAT OBVIO PROVIDES - Paid contract opportunity - Paid training - All necessary field equipment, including cameras, tripods, speed sensors, laptops, safety vests, and related materials - Mileage reimbursement for approved travel - Hands-on experience with real-world AI traffic safety technology - Opportunity to contribute to a high-impact public safety initiative WHY OBVIO - Your work will help save lives and improve road safety - Series A of $22M led by Bain Capital - Fast-moving startup environment with meaningful ownership - Competitive compensation and early-stage equity Obvio is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Obvio considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. Obvio is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.", "summaryDescription" : "Data Collection Contractor at Obvio. Skills: Data collection, Field operations. Travel to traffic study deployment locations. Set up roadside traffic study equipment", "postedDate" : "2026-06-11T19:05:26.485", "createdAt" : "2026-06-11T19:05:26.485", "lastUpdated" : "2026-06-14T21:26:35.490", "ingestTimestamp" : "2026-06-11T19:05:26.485", "mongoId" : "6a2523df74d8ee00a00e05fe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Equipment setup", "Data upload", "Dependable", "Attention to detail", "Data collection", "Field operations", "Traffic behavior studies", "Field data collection", "AI traffic safety", "AI", "Transportation technology", "Public safety", "Smart cities" ], "skillCount" : 13, "jobCategory" : "operations", "jobSubcategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2a80c074d8ee00a066e026", "title" : "AI for Quantum Operations Lead", "company" : "QuEra Computing, Inc.", "salary" : { "min" : 220000.0, "max" : 320000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead AI for Quantum Operations position in Boston, USA, adjusted for industry and company size." }, "location" : "Boston, Massachusetts, United States", "locations" : [ "Boston", "Massachusetts", "United States" ], "timestamp" : "2026-06-14T21:37:41.294", "fingerprint" : "4cdf737f1a59b408b9b5cff8b20a12e43abba913a36d2ab232a579cec5f9d29a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/queracomputinginc/jobs/5248633008", "externalId" : "5248633008", "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "AI/ML, Machine learning", "professionalSkills" : [ "Roadmap definition", "Execution strategy", "Stakeholder communication", "Risk reviews" ], "hardSkillsList" : [ "Calibration optimization", "Atom image analysis", "Readout analysis", "Drift prediction", "Root-cause diagnosis", "Recovery recommendation", "Dataset traceability", "Model validation", "Observability", "Offline replay", "Deployment gates", "Operator explainability", "Machine performance", "Calibration time", "Job failure reduction", "Recovery time", "Readout quality", "Drift detection" ], "hardSkills" : [ { "name" : "Calibration optimization", "level" : "intermediate" }, { "name" : "Atom image analysis", "level" : "intermediate" }, { "name" : "Readout analysis", "level" : "intermediate" }, { "name" : "Drift prediction", "level" : "intermediate" }, { "name" : "Root-cause diagnosis", "level" : "intermediate" }, { "name" : "Recovery recommendation", "level" : "intermediate" }, { "name" : "Dataset traceability", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" }, { "name" : "Offline replay", "level" : "intermediate" }, { "name" : "Deployment gates", "level" : "intermediate" }, { "name" : "Operator explainability", "level" : "intermediate" }, { "name" : "Machine performance", "level" : "intermediate" }, { "name" : "Calibration time", "level" : "intermediate" }, { "name" : "Job failure reduction", "level" : "intermediate" }, { "name" : "Recovery time", "level" : "intermediate" }, { "name" : "Readout quality", "level" : "intermediate" }, { "name" : "Drift detection", "level" : "intermediate" } ], "majorSkills" : "AI operations, Quantum systems, Machine learning", "majorSkillsList" : [ "AI operations", "Quantum systems", "Machine learning" ], "coreResponsibilities" : "Define AI operations roadmap, Drive AI operations roadmap, Partner with quantum systems teams, Partner with controls teams, Partner with software teams, Partner with hardware teams, Partner with ML teams, Identify high-value workflows, Establish bounded-AI operating model, Prioritize AI pilots, Own requirements for dataset traceability, Own requirements for model validation, Own requirements for observability, Own requirements for offline replay, Own requirements for deployment gates, Own requirements for operator-facing explainability, Translate pain points into objectives, Coordinate cross-functional execution, Coordinate staffing needs, Coordinate milestones, Coordinate risk reviews, Coordinate stakeholder communication", "teamCollaboration" : "Quantum systems teams; Controls teams; Software teams; Hardware teams; ML teams", "projectManagementSkills" : [ "Roadmap planning", "Milestones", "Risk reviews" ], "domainKnowledge" : "Quantum computing; Neutral atoms; Optical systems; Embedded control; Real-time systems; Deterministic control; Safety software", "domainList" : [ "quantum-computing", "neutral-atoms", "optical-systems", "embedded-control", "real-time-systems", "deterministic-control", "safety-software" ], "domainSpecificKnowledge" : [ "Quantum computing", "Neutral atoms", "Optical systems", "Embedded control", "Real-time systems", "Deterministic control", "Safety software" ], "problemSolvingSkills" : "Root-cause diagnosis; Recovery recommendation; Drift prediction", "outcomesObjectives" : "Measurable reduction in calibration effort; Measurable reduction in diagnosis time; Measurable reduction in drift-related failures; Measurable reduction in recovery time; Clear AI operations roadmap; First bounded AI pilots deployed", "qualificationsBasic" : "Technical leadership experience in AI/ML, Experience bringing ML models into production, Ability to work across software, hardware, physics, and operations teams, Understand where AI should help", "qualificationsPreferred" : "Experience with Bayesian optimization, Experience with active learning, Experience with time-series forecasting, Experience with computer vision, Experience with anomaly detection, Experience with root-cause analysis, Familiarity with calibration workflows, Familiarity with lab automation, Familiarity with telemetry systems, Familiarity with hardware-in-the-loop validation, Exposure to quantum computing, Exposure to neutral atoms, Exposure to optical systems, Exposure to embedded control, Exposure to real-time systems", "workSiteFlexibility" : "Onsite", "rawDescription" : "Role Summary The AI for Quantum Operations Lead owns the roadmap and execution strategy for AI-assisted calibration, diagnostics, prediction, and recovery across quantum systems, ensuring that AI improves machine uptime, calibration speed, and operator decision-making while deterministic control and safety software remain authoritative. Key Responsibilities Define and drive the AI operations roadmap across calibration optimization, atom image/readout analysis, drift prediction, root-cause diagnosis, and recovery recommendation. Partner with quantum systems, controls, software, hardware, and ML teams to identify high-value workflows where AI can safely propose, rank, predict, or optimize. Establish the bounded-AI operating model: AI provides recommendations or constrained optimizations, while deterministic control software enforces timing, hardware limits, validation, rollback, and safety logic. Prioritize AI pilots for Quokka, Calibration Manager, telemetry systems, readout pipelines, and QPU operations workflows. Own requirements for dataset traceability, model validation, observability, offline replay, deployment gates, and operator-facing explainability. Translate machine-performance pain points into measurable AI/ML objectives such as reduced calibration time, fewer failed jobs, faster recovery, improved readout quality, and better drift detection. Coordinate cross-functional execution, staffing needs, milestones, risk reviews, and stakeholder communication. Required Background Strong technical leadership experience in AI/ML, controls, robotics, scientific instrumentation, or complex hardware operations. Experience bringing ML models into production environments where reliability, safety, traceability, and human/operator trust matter. Ability to work across software, hardware, physics, and operations teams. Strong systems thinking; understands where AI should help, where deterministic software must remain in charge, and how to design the boundary between them. Preferred Background Experience with Bayesian optimization, active learning, time-series forecasting, computer vision, anomaly detection, or root-cause analysis. Familiarity with calibration workflows, lab automation, telemetry systems, or hardware-in-the-loop validation. Exposure to quantum computing, neutral atoms, optical systems, embedded control, or real-time systems. Success Measures Clear AI operations roadmap with owners, milestones, and safety gates. First bounded AI pilots deployed into calibration or readout workflows. Measurable reduction in calibration effort, diagnosis time, drift-related failures, or recovery time. Strong governance around model validation, data provenance, deployment approval, and operator trust. QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.", "summaryDescription" : "AI for Quantum Operations Lead at QuEra Computing, Inc.. Skills: AI operations, Quantum systems, Machine learning. Define AI operations roadmap. 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"Quantum computing", "Neutral atoms", "Optical systems", "Embedded control", "Real-time systems", "Deterministic control", "Safety software" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "qpu-software-engineering", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2cb02074d8ee00a09d8e8b", "title" : "Mechanical Engineer, Sensing", "company" : "OpenAI", "industry" : "Research", "salary" : { "min" : 266000.0, "max" : 310000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-15T12:57:05.294", "fingerprint" : "4df012bf749b75d99b33f6d08e9344d533d66c729358048500be135b6582a7a1", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/OpenAI/61e8051b-6510-448d-b4b1-b9836518462e/application", "externalId" : "61e8051b-6510-448d-b4b1-b9836518462e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "CAD, NX, SolidWorks", "professionalSkills" : [ "Mechanical intuition", "Iterating quickly", "Problem breakdown", "Tolerance analysis", "Interface analysis", "Assembly constraints" ], "hardSkillsList" : [ "Mechanical design", "Robotic sensing", "Tactile sensing", "Force sensing", "Position sensing", "Sensor subsystem development", "Mechanical subsystems design", "Load cells design", "Joint encoders design", "Prototype building", "Prototype testing", "Mechanical debugging", "Test method development", "Validation execution", "Performance evaluation", "Durability evaluation", "Calibration evaluation", "Failure mode evaluation", "DFM considerations", "DFA considerations", "Assembly troubleshooting", "Process improvement", "Test result analysis", "Field data analysis", "Sustaining engineering", "Failure investigation", "Issue tracking", "Corrective actions implementation", "Machining", "Screen printing", "Lamination", "Molding", "Basic fabrication" ], "hardSkills" : [ { "name" : "Mechanical design", "level" : "intermediate" }, { "name" : "Robotic sensing", "level" : "intermediate" }, { "name" : "Tactile sensing", "level" : "intermediate" }, { "name" : "Force sensing", "level" : "intermediate" }, { "name" : "Position sensing", "level" : "intermediate" }, { "name" : "Sensor subsystem development", "level" : "intermediate" }, { "name" : "Mechanical subsystems design", "level" : "intermediate" }, { "name" : "Load cells design", "level" : "intermediate" }, { "name" : "Joint encoders design", "level" : "intermediate" }, { "name" : "Prototype building", "level" : "intermediate" }, { "name" : "Prototype testing", "level" : "intermediate" }, { "name" : "Mechanical debugging", "level" : "intermediate" }, { "name" : "Test method development", "level" : "intermediate" }, { "name" : "Validation execution", "level" : "intermediate" }, { "name" : "Performance evaluation", "level" : "intermediate" }, { "name" : "Durability evaluation", "level" : "intermediate" }, { "name" : "Calibration evaluation", "level" : "intermediate" }, { "name" : "Failure mode evaluation", "level" : "intermediate" }, { "name" : "DFM considerations", "level" : "intermediate" }, { "name" : "DFA considerations", "level" : "intermediate" }, { "name" : "Assembly troubleshooting", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Test result analysis", "level" : "intermediate" }, { "name" : "Field data analysis", "level" : "intermediate" }, { "name" : "Sustaining engineering", "level" : "intermediate" }, { "name" : "Failure investigation", "level" : "intermediate" }, { "name" : "Issue tracking", "level" : "intermediate" }, { "name" : "Corrective actions implementation", "level" : "intermediate" }, { "name" : "Machining", "level" : "intermediate" }, { "name" : "Screen printing", "level" : "intermediate" }, { "name" : "Lamination", "level" : "intermediate" }, { "name" : "Molding", "level" : "intermediate" }, { "name" : "Basic fabrication", "level" : "intermediate" } ], "majorSkills" : "Robotics, Mechanical Engineering, Sensor design", "majorSkillsList" : [ "Robotics", "Mechanical Engineering", "Sensor design" ], "coreResponsibilities" : "Design and iterate mechanical subsystems, Create and maintain CAD models, Create and maintain CAD assemblies, Create and maintain CAD drawings, Build prototypes, Test prototypes, Support debugging mechanical issues, Assist developing test methods, Execute validation, Evaluate performance, Evaluate durability, Evaluate calibration, Evaluate failure modes, Work with cross-functional teams, Integrate mechanical components, Support transition of designs, Incorporate DFM considerations, Incorporate DFA considerations, Collaborate with manufacturing partners, Collaborate with internal build teams, Support assembly, Support troubleshooting, Support process improvement, Analyze test results, Analyze field data, Identify issues, Drive iterative design improvements, Document designs, Document test results, Document changes, Support sustaining engineering, Investigate failures, Track issues, Implement corrective actions", "teamCollaboration" : "Cross-functional partners; Experienced engineers; Cross-functional teams; Multidisciplinary projects", "domainKnowledge" : "Robotic form factors; AGI-level intelligence; Physical systems; Tactile sensors; Force sensing; Position sensing; High volume production; Electromechanical systems", "domainList" : [ "robotic-form-factors", "agi-level-intelligence", "physical-systems", "tactile-sensors", "force-sensing", "position-sensing", "high-volume-production", "electromechanical-systems" ], "domainSpecificKnowledge" : [ "Robotic form factors", "AGI-level intelligence", "Physical systems", "Tactile sensors", "Force sensing", "Position sensing", "High volume production", "Electromechanical systems" ], "toolProficiency" : [ "NX", "SolidWorks" ], "documentationSkills" : "Documentation; Repeatability documentation; Production readiness documentation", "innovationCreativity" : "Novel sensor solutions; Novel mechanical subsystems; Novel electrical subsystems", "problemSolvingSkills" : "Break down problems; Work through details; Analyze test results; Analyze field data; Identify issues; Drive iterative design improvements; Investigate failures; Implement corrective actions", "specialRequirements" : "In-person presence 4 days a week", "qualificationsBasic" : "Mechanical system design fundamentals, Robotic sensing fundamentals, Tactile sensors experience, Force sensing experience, Position sensing experience", "qualificationsPreferred" : "Bachelor's degree in Mechanical Engineering, Master's degree in Mechanical Engineering, 5+ years mechanical design, 5+ years robotics, 5+ years electromechanical systems, Experience with CAD tools, Familiarity with manufacturing processes, Familiarity with high volume GD&T, Familiarity with engineering drawings, Familiarity with tolerancing practices, Experience with prototyping, Experience with lab work, Experience with hardware bring-up, Experience with multidisciplinary projects, Experience with hardware software integration", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking a Mechanical Engineer to design and prototype novel tactile, proprioceptive and force sensor solutions. You will work closely with experienced engineers and cross-functional partners to set functional requirements, develop and iterate on hardware to meet program expectations. This role is aimed at candidates with strong fundamentals in mechanical system design and robotic sensing including tactile sensors, force sensing and position sensing. You will contribute to real hardware programs moving from prototype through early production. You will lead both new sensor subsystem development and ongoing improvements to existing systems based on testing, field performance, and manufacturing feedback. This role is based in San Francisco, CA, and requires in-person presence 4 days a week. In this role, you will - Lead the design and iteration of mechanical subsystems, including tactile sensors, load cells, force torque sensors and joint encoders. - Create and maintain CAD models, assemblies, and drawings with appropriate tolerancing and documentation. - Build and test prototypes, supporting debugging of mechanical issues such as fit, alignment, friction, and wear. - Assist in developing test methods and executing validation to evaluate performance, durability, calibration and failure modes. - Work with cross-functional teams to integrate mechanical components with sensors, actuators, and control systems. - Support transition of designs from prototype to manufacturable assemblies, incorporating DFM and DFA considerations. - Collaborate with manufacturing partners and internal build teams to support assembly, troubleshooting, and process improvement. - Analyze test results and field data to identify issues and drive iterative design improvements. - Document designs, test results, and changes to support repeatability and production readiness. - Support sustaining engineering efforts by investigating failures, tracking issues, and implementing corrective actions. You might thrive in this role if you - Have strong mechanical intuition and have previous experience designing nove mechanical or electrical subsystems for robotic subsystems. - Enjoy hands-on work building, testing, and debugging physical systems. - Are comfortable iterating quickly and learning from incomplete or evolving requirements. - Can break down problems and work through details such as tolerances, interfaces, and assembly constraints. - Are proactive in seeking feedback and alignment with crossfunctional partners. - Are detail-oriented and value clear documentation and repeatability. - Have experience scaling physical products from prototyping through high volume production. Preferred qualifications - Bachelor’s degree or Master’s degree in Mechanical Engineering or a related field. - 5+ years experience in mechanical design, robotics, or electromechanical systems. - Experience with CAD tools (e.g., NX, SolidWorks, or similar). - Familiarity with manufacturing processes such as machining, screen printing, lamination, molding, or basic fabrication methods. - Familiarity with high volume GD&T, engineering drawings and tolerancing practices. - Experience with prototyping, lab work, or hardware bring-up. - Experience working on multidisciplinary projects involving hardware and software integration. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "summaryDescription" : "Mechanical Engineer, Sensing at OpenAI. Skills: Robotics, Mechanical Engineering, Sensor design. Design and iterate mechanical subsystems. Create and maintain CAD models", "createdAt" : "2026-06-13T22:20:25.875", "lastUpdated" : "2026-06-15T12:57:05.294", "ingestTimestamp" : "2026-06-13T22:20:25.875", "mongoId" : "6a2cb02074d8ee00a09d8e8b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 266000, "salaryAnnualMax" : 310000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Mechanical design", "Robotic sensing", "Tactile sensing", "Force sensing", "Position sensing", "Sensor subsystem development", "Mechanical subsystems design", "Load cells design", "Joint encoders design", "Prototype building", "Prototype testing", "Mechanical debugging", "Test method development", "Validation execution", "Performance evaluation", "Durability evaluation", "Calibration evaluation", "Failure mode evaluation", "DFM considerations", "DFA considerations", "Assembly troubleshooting", "Process improvement", "Test result analysis", "Field data analysis", "Sustaining engineering", "Failure investigation", "Issue tracking", "Corrective actions implementation", "Machining", "Screen printing", "Lamination", "Molding", "Basic fabrication", "Robotics", "Mechanical Engineering", "Sensor design", "Mechanical intuition", "Iterating quickly", "Problem breakdown", "Tolerance analysis", "Interface analysis", "Assembly constraints", "Robotic form factors", "AGI-level intelligence", "Physical systems", "Tactile sensors", "High volume production", "Electromechanical systems", "NX", "SolidWorks" ], "skillCount" : 50, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "693c2b8670f0b99d5843fac9", "title" : "Data Solutions Lead, Data Collection Excellence", "company" : "Amazon Support Services Costa Rica SRL", "industry" : "Project/Program/Product Management--Technical, Technical Account Management, Artificial Intelligence", "salary" : { "min" : 3.5E7, "max" : 5.5E7, "currency" : "CRC", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Data Solutions role in Heredia, Costa Rica, adjusted for the technology industry and Amazon's company size." }, "location" : "Heredia, Heredia, CRI", "locations" : [ "Heredia, Heredia, CRI" ], "timestamp" : "2026-06-15T02:24:43.038", "fingerprint" : "ac091050f22240d36d907ff5de523878826a50923e48c5243b11b20f0ea07ada", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139800/apply", "externalId" : "c2c8fc54-4d31-436c-af90-278fc2e3a720", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Heredia", "state" : "Heredia", "country" : "Costa Rica", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "9.9984272,-84.1171215" } ], "locationText" : "Heredia, Heredia, Costa Rica", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "experienceMinYears" : 2, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python", "professionalSkills" : [ "ML data operations", "Customer relationship management", "Technical advisory", "Partnership building", "ML workflow capabilities", "Annotation scenarios" ], "hardSkillsList" : [ "Data creation strategies", "ML data operations", "Data annotation", "ML workflows" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data creation strategies", "level" : "intermediate" }, { "name" : "ML data operations", "level" : "intermediate" }, { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "ML workflows", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "ML data operations, Customer relationship management, Technical advisory", "majorSkillsList" : [ "ML data operations", "Customer relationship management", "Technical advisory" ], "coreResponsibilities" : "Drive and document ML/GenAI solutions, Transform research objectives into requirements, Coordinate across teams for delivery, Align stakeholders, Own relationships with customer scientists, Provide consultation on ML workflow capabilities, Monitor and optimize collection health metrics, Ensure customer success, Drive customer adoption, Provide technical value, Provide exemplary customer experience, Guide customers on workflow feasibility, Guide customers on data collection best practices, Collaborate with implementation teams, Define technical requirements, Validate technical requirements, Evaluate scalability of annotation scenarios, Provide strategic recommendations, Influence technical documentation, Influence technical guidelines", "teamCollaboration" : "Customer scientists; Implementation teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "ML data operations; Data annotation; ML workflows; GenAI data collections", "domainList" : [ "ml-data-operations", "data-annotation", "ml-workflows", "genai-data-collections" ], "domainSpecificKnowledge" : [ "ML data operations", "Data annotation", "ML workflows", "GenAI data collections" ], "communicationSkills" : "Customer communication; Technical consultation", "documentationSkills" : "Technical documentation; Technical guidelines", "outcomesObjectives" : "Deliver meaningful change for models; Maximize customer value", "qualificationsBasic" : "2+ years of experience in ML data operations, Understanding of data annotation/ML workflows, Outstanding customer communication and management skills, Technical consultation skills", "qualificationsPreferred" : "Bachelor's degree in Business, Computer Science, or related field, Working knowledge of JSON, Working knowledge of Command Line, Working knowledge of Python, Project management expertise, Technical account management experience, Background in customer success, Background in solution consulting", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Data Solutions Lead, you'll be the trusted advisor for our AGI-DS scientists, providing expert consultation on ML/Gen AI data collections and managing customer relationships. You'll drive business value through technical advisory and partnership building, creating and managing workstreams that delight our customers and deliver meaningful change for the models that back them. Key job responsibilities Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements Coordinate across teams to ensure seamless delivery and stakeholder alignment Own relationships with customer scientists, becoming their go-to partner for ML data solutions Provide consultation on ML workflow capabilities, helping customers maximize value Monitor and optimize collection health metrics to ensure customer success Drive customer adoption through providing technical value and the provision of an exemplary customer experience. You'll also: Guide customers on workflow feasibility and data collection best practices Collaborate with implementation teams to define and validate technical requirements Evaluate scalability of annotation scenarios and provide strategic recommendations Influence technical documentation and guidelines Basic Qualifications: - Demonstrated experience in effectively defining optimal data creation strategies and executing them - Associate's degree or equivalent work experience - 2+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts - Outstanding customer communication and management skills, especially in technical consultation - Ability to translate complex technical concepts into tactical applications Preferred Qualifications: - Bachelor's degree in Business, Computer Science, or related field - Working knowledge of JSON, Command Line, and Python - Project management expertise - Technical account management experience - Background in customer success or solution consulting 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" : "Data Solutions Lead, Data Collection Excellence at Amazon Support Services Costa Rica SRL. Skills: ML data operations, Customer relationship management, Technical advisory. Drive and document ML/GenAI solutions. Transform research objectives into requirements", "postedDate" : "2026-06-13T04:25:30.067", "createdAt" : "2026-06-13T04:25:30.067", "lastUpdated" : "2026-06-15T02:24:43.038", "ingestTimestamp" : "2026-06-13T04:25:30.067", "mongoId" : "693c2b8670f0b99d5843fac9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139800/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data creation strategies", "ML data operations", "Data annotation", "ML workflows", "Leadership", "Customer relationship management", "Technical advisory", "Partnership building", "ML workflow capabilities", "Annotation scenarios", "Project management", "GenAI data collections" ], "skillCount" : 12, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a30665df292fd229cfb07ba", "title" : "Co-Op, Building Robotics Skills for Automating Science", "company" : "Lila Sciences", "industry" : "Technology", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for entry-level internships in the biotech industry in Cambridge, MA, adjusted for company size and location." }, "location" : "Alewife, Cambridge, MA", "locations" : [ "Alewife", "Cambridge", "MA" ], "timestamp" : "2026-06-16T06:46:53.927", "fingerprint" : "3a8a5836352aa81540411864ea6ee63b9a15e418c1cee628fca0ae6f44e8882a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lilasciences/jobs/4278846009", "externalId" : "4278846009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3656347,-71.1040018" } ], "locationText" : "Cambridge, Massachusetts, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, ROS, ROS2, C++", "professionalSkills" : [ "Software development", "Robotics software", "Platform integration", "Simulation", "Debugging" ], "hardSkillsList" : [ "Robotic skill libraries", "Integration code", "Robot testing", "Motion planning", "Path planning", "Robot control" ], "hardSkills" : [ { "name" : "Robotic skill libraries", "level" : "intermediate" }, { "name" : "Integration code", "level" : "intermediate" }, { "name" : "Robot testing", "level" : "intermediate" }, { "name" : "Motion planning", "level" : "intermediate" }, { "name" : "Path planning", "level" : "intermediate" }, { "name" : "Robot control", "level" : "intermediate" } ], "majorSkills" : "Robotics software, Simulation, Platform integration", "majorSkillsList" : [ "Robotics software", "Simulation", "Platform integration" ], "coreResponsibilities" : "Build robotic skill libraries, Extend robotic skill libraries, Write integration code, Improve simulation environments, Test robot behaviors in simulation, Debug real-world robot behavior, Contribute fixes to codebase, Collaborate with engineers to ship code, Document new robotic skills, Document integration patterns", "teamCollaboration" : "Multidisciplinary team; Robotics engineers; AI researchers; Software engineers", "domainKnowledge" : "Robotics; Autonomous science; Scientific workflows; Lab automation; Motion planning; Path planning; Robot control", "domainList" : [ "robotics", "autonomous-science", "scientific-workflows", "lab-automation", "motion-planning", "path-planning", "robot-control" ], "domainSpecificKnowledge" : [ "Robotics", "Autonomous science", "Scientific workflows", "Lab automation", "Motion planning", "Path planning", "Robot control" ], "toolProficiency" : [ "Gazebo", "Isaac Sim", "PyBullet" ], "communicationSkills" : "Communication skills", "documentationSkills" : "Document new robotic skills; Document integration patterns", "problemSolvingSkills" : "Debugging real-world behavior; Debugging physical hardware", "specialRequirements" : "Full July through December 2026 co-op term", "outcomesObjectives" : "Accelerate rate Lila can run experiments", "qualificationsBasic" : "In-progress Bachelor's or Master's in Computer Science, Robotics, Electrical Engineering, or a related field, Proficiency in Python, Coursework or project experience writing well-tested code, Familiarity with at least one robotics framework (ROS/ROS2, or equivalent), Comfort working at the boundary between software and physical hardware, Hands-on debugging, Communication skills, Ability to work effectively across a multidisciplinary team, Available for the full July through December 2026 co-op term", "qualificationsPreferred" : "Hands-on project experience with ROS/ROS2 or another robotics framework, Familiarity with simulation tools like Gazebo, Isaac Sim, or PyBullet, Exposure to C++ in addition to Python, Experience integrating software with sensors, actuators, or other physical systems, Coursework or projects involving motion planning, path planning, or robot control", "workSiteFlexibility" : "Onsite", "rawDescription" : "Your Impact at LILA As a Co-Op on the Next Gen Robotics team at Lila Sciences, you will help build the software infrastructure that lets our robots run scientific workflows autonomously inside the Autonomous Science Foundries (AISFs). The team is developing general-purpose robotic skills (picking, placing, transporting, interacting with lab instruments) that the AISFs use to execute experiments end to end with minimal human intervention. Your work will sit at the intersection of robotics software, simulation, and platform integration. You will help develop robotic skill libraries, improve how robots are tested in simulation before deployment, and contribute to the systems that hand off work between robots and the broader autonomous science platform. Expect a mix of writing production-quality software, debugging real-world behavior on physical hardware, and iterating quickly on what works. You will work alongside robotics engineers, AI researchers, and software engineers, with day-to-day support from the Next Gen Robotics team. The output is software that runs in production lab environments and directly accelerates the rate at which Lila can run experiments. What You'll Be Building Build and extend robotic skill libraries used by the AISFs (manipulation, transport, instrument handling) Write integration code connecting robotic skills to the autonomous science platform Improve simulation environments used to test robot behaviors before deployment on hardware Debug real-world robot behavior on physical hardware and contribute fixes back to the codebase Collaborate with robotics, software, and AI engineers to ship code into production lab environments Document new robotic skills and integration patterns for the rest of the team What You'll Need to Succeed In-progress Bachelor's or Master's in Computer Science, Robotics, Electrical Engineering, or a related field Proficiency in Python, with coursework or project experience writing well-tested code Familiarity with at least one robotics framework (ROS/ROS2, or equivalent) Comfort working at the boundary between software and physical hardware, including hands-on debugging Strong communication skills and ability to work effectively across a multidisciplinary team Available for the full July through December 2026 co-op term Bonus Points For Hands-on project experience with ROS/ROS2 or another robotics framework Familiarity with simulation tools like Gazebo, Isaac Sim, or PyBullet Exposure to C++ in addition to Python Experience integrating software with sensors, actuators, or other physical systems Coursework or projects involving motion planning, path planning, or robot control About LILA Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai. Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply. We’re All In Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy. A Note to Agencies Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.", "summaryDescription" : "Co-Op, Building Robotics Skills for Automating Science at Lila Sciences. Skills: Robotics software, Simulation, Platform integration. Build robotic skill libraries. 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You'll drive business value through technical advisory and partnership building, creating and managing workstreams that delight our customers and deliver meaningful change for the models that back them. Key job responsibilities Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements Coordinate across teams to ensure seamless delivery and stakeholder alignment Own relationships with customer scientists, becoming their go-to partner for ML data solutions Provide consultation on ML workflow capabilities, helping customers maximize value Monitor and optimize collection health metrics to ensure customer success Drive customer adoption through providing technical value and the provision of an exemplary customer experience. You'll also: Guide customers on workflow feasibility and data collection best practices Collaborate with implementation teams to define and validate technical requirements Evaluate scalability of annotation scenarios and provide strategic recommendations Influence technical documentation and guidelines Basic Qualifications: - Demonstrated experience in effectively defining optimal data creation strategies and executing them - Associate's degree or equivalent work experience - 2+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts - Outstanding customer communication and management skills, especially in technical consultation - Ability to translate complex technical concepts into tactical applications Preferred Qualifications: - Bachelor's degree in Business, Computer Science, or related field - Working knowledge of JSON, Command Line, and Python - Project management expertise - Technical account management experience - Background in customer success or solution consulting 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" : "Data Solutions Lead, Data Collection Excellence at Amazon Support Services Costa Rica SRL. Skills: ML data solutions, Customer consultation, Data collection requirements. Drive and document ML/GenAI solutions. Transform research objectives into requirements", "postedDate" : "2026-06-13T02:59:19.198", "createdAt" : "2026-06-13T02:59:19.198", "lastUpdated" : "2026-06-15T01:37:15.165", "ingestTimestamp" : "2026-06-13T02:59:19.198", "mongoId" : "693c2b8a70f0b99d5843fccf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139141/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data creation strategies", "ML data operations", "Data annotation", "ML workflows", "Leadership", "ML data solutions", "Customer consultation", "Data collection requirements", "Customer relationship management", "Technical advisory", "Partnership building", "ML workflow capabilities", "Annotation scenarios", "Project management", "GenAI data collections" ], "skillCount" : 15, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69cf3f082beec4dd3d9342ef", "title" : "Data Solutions Lead, Data Collection Excellence", "company" : "ADCI HYD 16 SEZ", "industry" : "Machine Learning Science, Technical Account Management, Artificial Intelligence", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Data Solutions role in Hyderabad, India, adjusted for the technology industry and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T01:22:24.653", "fingerprint" : "e7590585d0d2ab9c8981ce8bccc7bb0a7781de3282c0cd88d31b894a2cd4f95b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381454/apply", "externalId" : "8e5c74de-fec5-435a-8ef8-565055fb6f00", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python", "professionalSkills" : [ "Technical advisory", "Partnership building", "Customer relationships", "Workflow capabilities", "Collection health metrics", "Workflow feasibility", "Annotation scenarios" ], "hardSkillsList" : [ "ML data operations", "Data annotation", "ML workflows", "ML concepts" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "ML data operations", "level" : "intermediate" }, { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "ML workflows", "level" : "intermediate" }, { "name" : "ML concepts", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "ML data solutions, GenAI data collections", "majorSkillsList" : [ "ML data solutions", "GenAI data collections" ], "coreResponsibilities" : "Drive ML/GenAI solutions, Document ML/GenAI solutions, Transform research objectives, Coordinate across teams, Ensure seamless delivery, Ensure stakeholder alignment, Own customer relationships, Provide consultation on ML workflow capabilities, Monitor collection health metrics, Optimize collection health metrics, Ensure customer success, Drive customer adoption, Provide technical value, Provide exemplary customer experience, Guide customers on workflow feasibility, Guide customers on data collection best practices, Collaborate with implementation teams, Define technical requirements, Validate technical requirements, Evaluate scalability of annotation scenarios, Provide strategic recommendations, Influence technical documentation, Influence technical guidelines", "teamCollaboration" : "Cross-functional teams; 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You'll also: Guide customers on workflow feasibility and data collection best practices Collaborate with implementation teams to define and validate technical requirements Evaluate scalability of annotation scenarios and provide strategic recommendations Influence technical documentation and guidelines Basic Qualifications: - Bachelor's degree in a relevant field or equivalent work experience - Experience working with customers with a passion for delivering exceptional service, or experience in technical support and experience that includes strong analytical skills, attention to detail, and effective communication abilities - Demonstrated experience in effectively defining optimal data creation strategies and executing them - 2+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts - Ability to translate complex technical concepts into tactical applications Preferred Qualifications: - Bachelor's degree in Computer Science, Business or a related field - Experience in project management - 2+ years of technical support experience, or experience in leadership or account management positions - Working knowledge of JSON, Command Line, and Python - Background in customer success or solution consulting 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" : "Data Solutions Lead, Data Collection Excellence at ADCI HYD 16 SEZ. Skills: ML data solutions, GenAI data collections. Drive ML/GenAI solutions. Document ML/GenAI solutions", "postedDate" : "2026-06-13T01:30:07.233", "createdAt" : "2026-06-13T01:30:07.233", "lastUpdated" : "2026-06-15T01:22:24.653", "ingestTimestamp" : "2026-06-13T01:30:07.233", "mongoId" : "69cf3f082beec4dd3d9342ef", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381454/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "ML data operations", "Data annotation", "ML workflows", "ML concepts", "Leadership", "ML data solutions", "GenAI data collections", "Technical advisory", "Partnership building", "Customer relationships", "Workflow capabilities", "Collection health metrics", "Workflow feasibility", "Annotation scenarios", "Project management", "JSON", "Command Line" ], "skillCount" : 17, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6931903470f0b99d58087aac", "title" : "Equipment Engineer, AWS Center for Quantum Computing", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Operations, IT, Support Engineering, Hardware Development, Cloud Computing", "salary" : { "min" : 105600.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Pasadena, California, USA", "locations" : [ "Pasadena, California, USA" ], "timestamp" : "2026-06-15T06:08:11.369", "fingerprint" : "82e1e0c994dd20efa01f034b6fce02966036afeb044fe6fcec0a5f2e12dbd04a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136645/apply", "externalId" : "414a5be9-3664-4dad-8ce2-4065fd561263", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pasadena", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1476507,-118.1441550" } ], "locationText" : "Pasadena, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Semiconductor fabrication, Material deposition, Vacuum systems, High vacuum systems, Ultra-high vacuum systems", "professionalSkills" : [ "Equipment health program", "Tool up-time", "Lab infrastructure improvements", "Equipment maintenance", "Equipment calibration", "Equipment troubleshooting", "Preventative maintenance" ], "hardSkillsList" : [ "Equipment troubleshooting", "Preventative maintenance", "Calibration", "Vendor interaction", "Infrastructure improvement", "Equipment health management", "Wafer processing", "Characterization instruments" ], "softSkillsList" : [ "Problem solving", "Communication" ], "hardSkills" : [ { "name" : "Equipment troubleshooting", "level" : "intermediate" }, { "name" : "Preventative maintenance", "level" : "intermediate" }, { "name" : "Calibration", "level" : "intermediate" }, { "name" : "Vendor interaction", "level" : "intermediate" }, { "name" : "Infrastructure improvement", "level" : "intermediate" }, { "name" : "Equipment health management", "level" : "intermediate" }, { "name" : "Wafer processing", "level" : "intermediate" }, { "name" : "Characterization instruments", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem solving" }, { "name" : "Communication" } ], "majorSkills" : "Equipment maintenance, Troubleshooting, Fabrication equipment", "majorSkillsList" : [ "Equipment maintenance", "Troubleshooting", "Fabrication equipment" ], "coreResponsibilities" : "Troubleshoot equipment-related issues, Perform preventative maintenance, Perform calibrations, Interact with vendors, Improve lab infrastructure, Lead equipment health program, Evaluate procedures, Develop procedures, Maximize tool up-time, Maintain equipment performance, Devise solutions to problems, Document solutions, Schedule service calls, Supervise field service engineers, Document field service work, Improve equipment up-time, Develop preventative maintenance plans, Execute preventative maintenance, Own equipment health initiatives, Implement new equipment-tracking initiatives, Operate equipment at peak performance, Assist with hardware modifications, Assist with lab upgrades, Ensure reliable performance of labs, Perform daily lab walkthrough, Assess state of lab areas, Assess state of equipment, Solve new problems, Solve existing problems, Perform calibration according to schedule, Undertake projects for improvement, Document notes, Document procedures, Document fixes, Document projects, Maximize equipment up-time, Maximize equipment performance, Fabricate quantum devices", "teamCollaboration" : "Work alongside research scientists; Work alongside process engineers; Work with field service engineers; Work within a team environment; Work with teammates", "projectManagementSkills" : [ "Equipment health initiatives", "Equipment tracking initiatives" ], "domainKnowledge" : "Quantum computing; Semiconductor fabrication; Vacuum systems; Cleanroom environment", "domainList" : [ "quantum-computing", "semiconductor-fabrication", "vacuum-systems", "cleanroom-environment" ], "domainSpecificKnowledge" : [ "Quantum computing", "Semiconductor fabrication", "Vacuum systems", "Cleanroom environment" ], "toolProficiency" : [ "MES" ], "communicationSkills" : "Problem solving; Communication", "documentationSkills" : "Document solutions; Document work; Document notes; Document procedures; Document fixes; Document projects", "continuousLearning" : "Rapidly research and learn new tools; Rapidly research and learn new techniques; Rapidly research and learn technical topics", "innovationCreativity" : "Self-guided improvements; Team-guided improvements", "problemSolvingSkills" : "Troubleshoot problems; Problem solving; Analytical skills", "specialRequirements" : "Cleanroom environment", "outcomesObjectives" : "Maximize tool up-time; Maintain equipment at optimal performance; Maximize equipment up-time; Maximize equipment performance; Deliver fabricated devices", "qualificationsBasic" : "Demonstrated background in fundamental engineering principles, Excellent problem solving skills, Excellent communication skills, Prior experience in fabrication facility, Working effectively within a team environment", "qualificationsPreferred" : "Familiarity with reactive ion etching, Familiarity with thin films, Familiarity with metrology, Familiarity with wet etch, Familiarity with photo lithography, Familiarity with back end tools, Knowledge of SolidWorks, Good problem solving skills, Good analytical skills, Good writing skills, Good communication skills, Curiosity and capability to learn new tools, Self-starter with excellent organizational skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Web Services (AWS) Center for Quantum Computing (CQC) in Pasadena, CA, is looking to hire an Equipment Engineer who will aid in AWS’s effort to bring cloud quantum computing services to its worldwide customer base. The candidate will work in a cleanroom environment alongside research scientists and process engineers, keeping complex semiconductor fabrication & characterization equipment in working order. Responsibilities include troubleshooting equipment-related issues, performing preventative maintenance and calibrations, interacting with vendors during the installation of new equipment and scheduled repairs, making self-guided & team-guided improvements to the lab infrastructure, and taking the lead on aspects of our equipment health program. The facility is focused on research and development, which utilizes equipment ranging from reactive ion etchers, to various material deposition tools, to advanced characterization instruments, most of which are classified as vacuum systems. The candidate will evaluate and develop procedures that provide maximum tool up-time for wafer processing and characterization while maintaining the equipment at optimal performance. Candidates must have a demonstrated background in fundamental engineering principles and must have excellent problem solving and communication skills. Successful candidates will have prior experience working in an academic or industrial fabrication facility, or similar. Working effectively within a team environment is critical. Key job responsibilities An Equipment Engineer troubleshoots problems related to equipment and other lab infrastructure, then devises and documents the solutions such that the problems can be more easily solved the next time they occur. When necessary, the Equipment Engineer works with field service engineers from the company that manufactured the equipment, scheduling service calls and supervising & documenting those engineers' work in our labs. The Equipment Engineer is responsible for improving the up-time of equipment, which involves developing better preventative maintenance (PM) plans, executing the PMs, performing equipment calibrations, owning equipment health initiatives, implementing new equipment-tracking initiatives in our manufacturing execution system (MES), and obsessing over the details of the equipment such that it can operate at peak performance. The Equipment Engineer may assist with the development and/or implementation of hardware modifications and new lab upgrades. The Equipment Engineer has ownership of equipment and lab spaces and is responsible for the reliable, excellent performance of our labs and everything that operates within it. A day in the life The Equipment Engineer performs a daily morning lab walkthrough to assess the state of their assigned lab areas and equipment. Based on priorities set by the team, the engineer works on solving new problems or existing problems from the previous day. Preventative maintenance checks and/or calibrations are performed according to a schedule. When time permits and there aren't problems to solve that are limiting team productivity, projects centered around the improvement of equipment and lab spaces are undertaken. In all aspects of the work, documentation of notes, procedures, fixes, and projects is pivotal. The engineer's goal is to maximize equipment up-time and performance so their teammates can operate the equipment reliably, and the whole team can deliver fabricated devices for quantum computing experiments. About the team Export Control Requirement: Due to applicable export control laws and regulations, candidates must be either a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be able to obtain a U.S export license. If you are unsure if you meet these requirements, please apply and Amazon will review your application for eligibility. Our team is comprised of scientists and engineers who are building hardware that enables quantum computing technologies. Doing that requires the fabrication of quantum devices, which necessitates the operation of a suite of fabrication and characterization equipment. Equipment Engineers work to maintain and improve the equipment – and the labs in which the equipment is installed – and work alongside Process Engineers and Research Scientists to help deliver fabricated devices for quantum computing experiments. *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 manufacturing equipment development experience, or Bachelor's degree in electrical or mechanical engineering, engineering technology or equivalent - Experience maintaining material handling equipment and integrated systems - Experience in hardware lab equipment such as digital scopes, logic analyzers, and soldering tools - Experience with vacuum, high vacuum, and/or ultra-high vacuum systems, Bonders , flip chip bonders and probers. Preferred Qualifications: - Familiarity with reactive ion etching, thin films, metrology, wet etch photo lithography, back end tools and principles - Knowledge of SolidWorks (or similar) design tools - Good problem solving, analytical, writing and communication skills - Curiosity and capability to rapidly research and learn new tools, techniques and technical topics - Self-starter with excellent organizational skills 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,600/year in our lowest geographic market up to $185,000/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" : "Equipment Engineer, AWS Center for Quantum Computing at Amazon Development Center U.S., Inc.. Skills: Equipment maintenance, Troubleshooting, Fabrication equipment. Troubleshoot equipment-related issues. Perform preventative maintenance", "postedDate" : "2026-06-13T16:26:49.831", "createdAt" : "2026-06-13T16:26:49.831", "lastUpdated" : "2026-06-15T06:08:11.369", "ingestTimestamp" : "2026-06-13T16:26:49.831", "mongoId" : "6931903470f0b99d58087aac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136645/apply", "salaryAnnualMin" : 105600, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Equipment troubleshooting", "Preventative maintenance", "Calibration", "Vendor interaction", "Infrastructure improvement", "Equipment health management", "Wafer processing", "Characterization instruments", "Problem solving", "Communication", "Equipment maintenance", "Troubleshooting", "Fabrication equipment", "Equipment health program", "Tool up-time", "Lab infrastructure improvements", "Equipment calibration", "Equipment health initiatives", "Equipment tracking initiatives", "Quantum computing", "Semiconductor fabrication", "Vacuum systems", "Cleanroom environment", "MES" ], "skillCount" : 24, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Quantum Computing" }, { "id" : "68b706987fc9a711f0f6fd93", "title" : "Equipment Engineer, AWS Center for Quantum Computing", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Operations, IT, Support Engineering, Hardware Development, Cloud Computing", "salary" : { "min" : 105600.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Pasadena, California, USA", "locations" : [ "Pasadena, California, USA" ], "timestamp" : "2026-06-15T04:33:56.196", "fingerprint" : "7695328dfe59e7d08a8dbdad5c7e42b1aeb3fe82f04140d173a3b5fe3f3ed526", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3053669/apply", "externalId" : "d89b6969-c3ba-437f-9c13-7e3b00eaad5d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pasadena", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1476507,-118.1441550" } ], "locationText" : "Pasadena, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Semiconductor fabrication, Material deposition, Vacuum systems, High vacuum systems, Ultra-high vacuum systems, Multimeters, Oscilloscopes", "professionalSkills" : [ "Equipment health program", "Lab infrastructure improvements", "Wafer processing", "Equipment performance optimization" ], "hardSkillsList" : [ "Equipment troubleshooting", "Preventative maintenance", "Calibrations", "Vendor interaction", "Equipment installation", "Equipment repair", "Equipment health initiatives", "Equipment tracking", "Hardware modification", "Lab upgrades", "Equipment performance" ], "softSkillsList" : [ "Problem solving", "Communication" ], "hardSkills" : [ { "name" : "Equipment troubleshooting", "level" : "intermediate" }, { "name" : "Preventative maintenance", "level" : "intermediate" }, { "name" : "Calibrations", "level" : "intermediate" }, { "name" : "Vendor interaction", "level" : "intermediate" }, { "name" : "Equipment installation", "level" : "intermediate" }, { "name" : "Equipment repair", "level" : "intermediate" }, { "name" : "Equipment health initiatives", "level" : "intermediate" }, { "name" : "Equipment tracking", "level" : "intermediate" }, { "name" : "Hardware modification", "level" : "intermediate" }, { "name" : "Lab upgrades", "level" : "intermediate" }, { "name" : "Equipment performance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem solving" }, { "name" : "Communication" } ], "majorSkills" : "Equipment engineering, Fabrication equipment, Troubleshooting, Maintenance", "majorSkillsList" : [ "Equipment engineering", "Fabrication equipment", "Troubleshooting", "Maintenance" ], "coreResponsibilities" : "Troubleshoot equipment-related issues, Perform preventative maintenance, Perform calibrations, Interact with vendors during installation, Interact with vendors during repairs, Make improvements to lab infrastructure, Take lead on equipment health program, Evaluate procedures, Develop procedures, Provide maximum tool up-time, Maintain equipment at optimal performance, Troubleshoot problems related to equipment, Troubleshoot problems related to lab infrastructure, Devise solutions, Document solutions, Work with field service engineers, Schedule service calls, Supervise field service engineers, Document field service engineers' work, Improve up-time of equipment, Develop preventative maintenance plans, Execute preventative maintenance, Own equipment health initiatives, Implement new equipment-tracking initiatives, Assist with hardware modifications, Assist with new lab upgrades, Ensure reliable performance of labs, Ensure excellent performance of labs, Perform daily lab walkthrough, Assess state of lab areas, Assess state of equipment, Work on solving new problems, Work on existing problems, Perform maintenance checks, Perform calibrations according to schedule, Undertake projects for equipment improvement, Undertake projects for lab space improvement, Document notes, Document procedures, Document fixes, Document projects, Maximize equipment up-time, Maximize equipment performance, Deliver fabricated devices", "teamCollaboration" : "Work alongside research scientists; Work alongside process engineers; Work within a team environment; Work with field service engineers; Work alongside Process Engineers; Work alongside Research Scientists", "projectManagementSkills" : [ "Equipment health program", "Equipment health initiatives" ], "domainKnowledge" : "Quantum computing; Semiconductor fabrication; Cleanroom environment; Vacuum systems; Wafer processing; Characterization instruments", "domainList" : [ "quantum-computing", "semiconductor-fabrication", "cleanroom-environment", "vacuum-systems", "wafer-processing", "characterization-instruments" ], "domainSpecificKnowledge" : [ "Quantum computing", "Semiconductor fabrication", "Cleanroom environment", "Vacuum systems", "Wafer processing", "Characterization instruments" ], "toolProficiency" : [ "Manufacturing execution system" ], "communicationSkills" : "Problem solving; Communication", "documentationSkills" : "Document solutions; Document engineers' work; Documentation of notes; Documentation of procedures; Documentation of fixes; Documentation of projects", "continuousLearning" : "Rapidly research and learn new tools; Rapidly research and learn new techniques; Rapidly research and learn new technical topics", "innovationCreativity" : "Self-guided improvements; Team-guided improvements; Hardware modifications; New lab upgrades", "problemSolvingSkills" : "Troubleshooting; Problem solving; Root cause analysis", "outcomesObjectives" : "Maximize tool up-time; Maintain equipment at optimal performance; Improve up-time of equipment; Operate at peak performance; Maximize equipment up-time; Maximize equipment performance; Deliver fabricated devices for experiments", "qualificationsBasic" : "5+ years working hands-on in equipment engineering, Demonstrated background in fundamental engineering principles, Excellent problem solving skills, Excellent communication skills, Prior experience working in fabrication facility, Working effectively within a team environment", "qualificationsPreferred" : "Familiarity with reactive ion etching tools, Knowledge of SolidWorks design tools, Good problem solving skills, Good analytical skills, Good writing skills, Good communication skills, Curiosity and capability to rapidly research and learn new tools, Capability to rapidly learn new techniques, Capability to rapidly learn new technical topics, Self-starter, Excellent organizational skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Web Services (AWS) Center for Quantum Computing (CQC) in Pasadena, CA, is looking to hire an Equipment Engineer who will aid in AWS’s effort to bring cloud quantum computing services to its worldwide customer base. The candidate will work in a cleanroom environment alongside research scientists and process engineers, keeping complex semiconductor fabrication & characterization equipment in working order. Responsibilities include troubleshooting equipment-related issues, performing preventative maintenance and calibrations, interacting with vendors during the installation of new equipment and scheduled repairs, making self-guided & team-guided improvements to the lab infrastructure, and taking the lead on aspects of our equipment health program. The facility is focused on research and development, which utilizes equipment ranging from reactive ion etchers, to various material deposition tools, to advanced characterization instruments, most of which are classified as vacuum systems. The candidate will evaluate and develop procedures that provide maximum tool up-time for wafer processing and characterization while maintaining the equipment at optimal performance. Candidates must have a demonstrated background in fundamental engineering principles and must have excellent problem solving and communication skills. Successful candidates will have prior experience working in an academic or industrial fabrication facility, or similar. Working effectively within a team environment is critical. Key job responsibilities An Equipment Engineer troubleshoots problems related to equipment and other lab infrastructure, then devises and documents the solutions such that the problems can be more easily solved the next time they occur. When necessary, the Equipment Engineer works with field service engineers from the company that manufactured the equipment, scheduling service calls and supervising & documenting those engineers' work in our labs. The Equipment Engineer is responsible for improving the up-time of equipment, which involves developing better preventative maintenance (PM) plans, executing the PMs, performing equipment calibrations, owning equipment health initiatives, implementing new equipment-tracking initiatives in our manufacturing execution system (MES), and obsessing over the details of the equipment such that it can operate at peak performance. The Equipment Engineer may assist with the development and/or implementation of hardware modifications and new lab upgrades. The Equipment Engineer has ownership of equipment and lab spaces and is responsible for the reliable, excellent performance of our labs and everything that operates within it. A day in the life The Equipment Engineer performs a daily morning lab walkthrough to assess the state of their assigned lab areas and equipment. Based on priorities set by the team, the engineer works on solving new problems or existing problems from the previous day. Preventative maintenance checks and/or calibrations are performed according to a schedule. When time permits and there aren't problems to solve that are limiting team productivity, projects centered around the improvement of equipment and lab spaces are undertaken. In all aspects of the work, documentation of notes, procedures, fixes, and projects is pivotal. The engineer's goal is to maximize equipment up-time and performance so their teammates can operate the equipment reliably, and the whole team can deliver fabricated devices for quantum computing experiments. About the team Our team is comprised of scientists and engineers who are building hardware that enables quantum computing technologies. Doing that requires the fabrication of quantum devices, which necessitates the operation of a suite of fabrication and characterization equipment. Equipment Engineers work to maintain and improve the equipment – and the labs in which the equipment is installed – and work alongside Process Engineers and Research Scientists to help deliver fabricated devices for quantum computing experiments. *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 working hands-on in equipment engineering or equivalent experience - Experience with maintaining and servicing fabrication and/or characterization equipment - Experience using common lab tools for troubleshooting (e.g., multimeters, oscilloscopes, etc.) - Experience with vacuum, high vacuum, and/or ultra-high vacuum systems Preferred Qualifications: - Familiarity with reactive ion etching tools and principles - Knowledge of SolidWorks (or similar) design tools - Good problem solving, analytical, writing and communication skills - Curiosity and capability to rapidly research and learn new tools, techniques and technical topics - Self-starter with excellent organizational skills 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,600/year in our lowest geographic market up to $185,000/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" : "Equipment Engineer, AWS Center for Quantum Computing at Amazon Development Center U.S., Inc.. Skills: Equipment engineering, Fabrication equipment, Troubleshooting, Maintenance. Troubleshoot equipment-related issues. Perform preventative maintenance", "postedDate" : "2026-06-13T13:45:06.961", "createdAt" : "2026-06-13T13:45:06.961", "lastUpdated" : "2026-06-15T04:33:56.196", "ingestTimestamp" : "2026-06-13T13:45:06.961", "mongoId" : "68b706987fc9a711f0f6fd93", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3053669/apply", "salaryAnnualMin" : 105600, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Equipment troubleshooting", "Preventative maintenance", "Calibrations", "Vendor interaction", "Equipment installation", "Equipment repair", "Equipment health initiatives", "Equipment tracking", "Hardware modification", "Lab upgrades", "Equipment performance", "Problem solving", "Communication", "Equipment engineering", "Fabrication equipment", "Troubleshooting", "Maintenance", "Equipment health program", "Lab infrastructure improvements", "Wafer processing", "Equipment performance optimization", "Quantum computing", "Semiconductor fabrication", "Cleanroom environment", "Vacuum systems", "Characterization instruments", "Manufacturing execution system" ], "skillCount" : 27, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Quantum Computing" }, { "id" : "69d5e4952beec4dd3d931827", "title" : "Data Solutions Lead Manager, Data Collection Excellence", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Technical Account Management, Artificial Intelligence", "salary" : { "min" : 81000.0, "max" : 141800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T07:48:53.979", "fingerprint" : "a6512bda53920a87bc9db62d17b33c5441b86149dd6787100e1b62057412e484", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385651/apply", "externalId" : "e8b97dba-f23f-4f14-a1d5-5d45573c8d1c", "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", "experienceMinYears" : 5, "experienceLevel" : "Manager", "softSkillsList" : [ "Leadership" ], "softSkills" : [ { "name" : "Leadership" } ], "coreResponsibilities" : "Manage and monitor team performance, Create a culture of ownership, Act as an SME Manager, Gain deep domain knowledge, Own global program improvement initiatives, Coordinate across global teams, Influence stakeholders, Ensure effective and expedient delivery, Monitor and optimize collection health metrics, Ensure customer success, Drive customer adoption, Provide technical value, Provide exemplary customer experience, Act as escalation point, Assist senior level customers, Collaborate with product teams, Collaborate with technology teams, Implement effective long term solutions, Consolidate customer feedback, Translate feedback into improvement initiatives", "teamCollaboration" : "Global teams; Product teams; Technology teams", "projectManagementSkills" : [ "Resource planning", "Managing schedules", "Reporting project status", "Prioritizing tasks" ], "domainKnowledge" : "Data collection for AI; ML/Gen AI data collections", "domainList" : [ "data-collection-for-ai", "ml-gen-ai-data-collections" ], "domainSpecificKnowledge" : [ "Data collection for AI", "ML/Gen AI data collections" ], "qualificationsBasic" : "5+ years people management, Experience in project management", "qualificationsPreferred" : "Bachelor's degree in Computer Science, 2+ years technical support experience, Experience in leadership positions, Experience in account management positions", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about bridging the gap between technical ML solutions and customer success? Do you thrive providing consultation in an ambiguous environment, all while building customer partnerships? Do you enjoy leading dynamic and fast paced teams with global impact? We're looking for a Data Solutions Lead Managers to join our growing team! About the Role: As a Data Solutions Lead Manager, you will manage a team of Data Collection owners who provide expert consultation on ML/Gen AI data collections and own execution from start to finish. You'll drive business value by providing regular feedback and ensuring your team is working efficiently, manage active escalations and help them build long standing partnerships with customers. If necessary you will have the technical capability to step in and take control of high priority or challenging collections, delighting our customers and deliver meaningful change for the models that back them. Key job responsibilities Manage and monitor your teams performance, creating a culture of ownership in ambiguous situations Act as an SME Manager, gaining deep domain knowledge in the field of data collection for AI and relevant products Own global program improvement initiatives for the Data Collection Excellence Organization Coordinate across global teams, influencing stakeholders to ensure effective and expedient delivery Monitor and optimize collection health metrics to ensure customer success Drive customer adoption through providing technical value and the provision of an exemplary customer experience. You'll also: Act as an escalation point for challenging data collections, directly assisting senior level customers and your team. Collaborate with product and technology teams to implement effective long term solutions Consolidate customer feedback and translate it into improvement initiatives Basic Qualifications: - 5+ years of people management experience - Experience in project management including resource planning, managing schedules, reporting project status and prioritizing tasks Preferred Qualifications: - Bachelor's degree in Computer Science, Business or a related field - 2+ years of technical support experience, or experience in leadership or account management positions Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, BELLEVUE - 81,000.00 - 141,800.00 USD annually", "summaryDescription" : "Data Solutions Lead Manager, Data Collection Excellence at Amazon.com Services LLC. Manage and monitor team performance. Create a culture of ownership", "postedDate" : "2026-06-13T17:46:51.723", "createdAt" : "2026-06-13T17:46:51.723", "lastUpdated" : "2026-06-15T07:48:53.979", "ingestTimestamp" : "2026-06-13T17:46:51.723", "mongoId" : "69d5e4952beec4dd3d931827", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385651/apply", "salaryAnnualMin" : 81000, "salaryAnnualMax" : 141800, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Leadership", "Resource planning", "Managing schedules", "Reporting project status", "Prioritizing tasks", "Data collection for AI", "ML/Gen AI data collections" ], "skillCount" : 7, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a6d9bc74574cbbb3763", "title" : "Data Collection Associate, V-CARE", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 15.0, "max" : 21.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T02:05:35.308", "fingerprint" : "28fbcaa0cec7b81a5778731ca71837ffd3757bba9f7fe7032cf4e40f32141301", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194804/apply", "externalId" : "48451126-d63a-4f07-a3d3-8e592da01d61", "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", "coreResponsibilities" : "Adhere to data collection protocol, Follow SOP, Complete project objectives, Work one-on-one with research participants, Moderate research participants, Assist research participants, Ensure research objectives are met, Support collection projects operations, Report on collection projects, Moderate collection projects, Own defined tasks within projects, Improve data collection processes, Deliver high quality work, Communicate internally with team members, Identify issues, Propose solutions for sustainability, Support several projects, Accept re-prioritization, Perform basic troubleshooting tasks, Escalate technical issues", "teamCollaboration" : "Partner with Program Coordinators; Partner with Data Collection Leads; Partner with Data Collection Specialists", "toolProficiency" : [ "Microsoft Office" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Work indoor/outdoor 4-5 days, Travel to multiple sites, Lift up to 30lbs", "qualificationsBasic" : "Knowledge of Microsoft Office products, Reliable transportation", "qualificationsPreferred" : "Experience in research, Experience in data collection, Experience using Confluence, Experience using Quip, Experience using Jira, Experience using Salesforce, End-to-end experience with data collections, Hands-on experience with data collections, Experience moderating a 1:1 session, Experience moderating sessions with users of different age, Experience moderating sessions with users of different demographics, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a work from home role) * Lift up to 30lbs when needed Basic Qualifications: - Knowledge of Microsoft Office products and applications - A good sense of humor, a positive attitude and great team work skills - Reliable transportation Preferred Qualifications: - Experience in research or data collection - Experience using Confluence, Quip, Jira, Salesforce - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, VA, Arlington - 15.00 - 21.00 USD hourly", "summaryDescription" : "Data Collection Associate, V-CARE at Amazon.com Services LLC. Adhere to data collection protocol. Follow SOP", "postedDate" : "2026-06-13T12:33:37.800", "createdAt" : "2026-06-13T12:33:37.800", "lastUpdated" : "2026-06-15T02:05:35.308", "ingestTimestamp" : "2026-06-13T12:33:37.800", "mongoId" : "69c94a6d9bc74574cbbb3763", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194804/apply", "salaryAnnualMin" : 31200, "salaryAnnualMax" : 43680, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Microsoft Office" ], "skillCount" : 1, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a25145b74d8ee00a00bb571", "title" : "Data Collection Associate, V-CARE", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 20.0, "max" : 22.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T04:22:16.377", "fingerprint" : "234a17b7652e40eeb540acda1dd4a7495c204bbacd472afab1c2bf0ae718779c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440753/apply", "externalId" : "84ab52f4-51b6-4086-aaf3-1ae2012cced9", "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", "professionalSkills" : [ "Data collection" ], "hardSkillsList" : [ "Data collection procedures" ], "softSkillsList" : [ "Interpersonal skills" ], "hardSkills" : [ { "name" : "Data collection procedures", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Interpersonal skills" } ], "majorSkills" : "Data collection, Moderation", "majorSkillsList" : [ "Data collection", "Moderation" ], "coreResponsibilities" : "Follow clear instructions, Apply best responses, Perform data collected tasks, Adhere to data collection protocol, Follow SOP, Complete project objectives, Work one-on-one with research participants, Moderate research process, Assist research participants, Support day-to-day operations, Report on collection projects, Moderate collection projects, Own defined tasks, Improve data collection processes, Deliver high quality work, Communicate internally with team members, Identify issues, Propose solutions, Support several projects, Accept re-prioritization, Perform basic troubleshooting, Escalate technical issues", "teamCollaboration" : "Internal team communication", "domainKnowledge" : "Consumer electronics", "domainList" : [ "consumer-electronics" ], "domainSpecificKnowledge" : [ "Consumer electronics" ], "toolProficiency" : [ "Confluence", "Quip", "Jira", "Salesforce" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Work indoor/outdoor, Travel to multiple sites, Lift up to 30lbs, Comfort with gaming controllers, Proficiency with joysticks", "outcomesObjectives" : "Ensure research objectives are met", "qualificationsBasic" : "Knowledge of Microsoft Office products, Reliable transportation", "qualificationsPreferred" : "Experience in research or data collection, Experience using Confluence, Experience using Quip, Experience using Jira, Experience using Salesforce, End-to-end data collections experience, Experience moderating 1:1 session independently, Experience moderating sessions with different demographics, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a work from home role) * Lift up to 30lbs when needed * Comfort and proficiency with gaming controllers, joysticks, or similar real-time navigation tools, with the ability to apply those skills in an operational environment. Basic Qualifications: - Knowledge of Microsoft Office products and applications - A good sense of humor, a positive attitude and great team work skills - Reliable transportation Preferred Qualifications: - Experience in research or data collection - Experience using Confluence, Quip, Jira, Salesforce - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, WA, Bellevue - 20.00 - 22.00 USD hourly", "summaryDescription" : "Data Collection Associate, V-CARE at Amazon.com Services LLC. Skills: Data collection, Moderation. Follow clear instructions. Apply best responses", "postedDate" : "2026-06-13T10:46:18.664", "createdAt" : "2026-06-13T10:46:18.664", "lastUpdated" : "2026-06-15T04:22:16.377", "ingestTimestamp" : "2026-06-13T10:46:18.664", "mongoId" : "6a25145b74d8ee00a00bb571", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440753/apply", "salaryAnnualMin" : 41600, "salaryAnnualMax" : 45760, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection procedures", "Interpersonal skills", "Data collection", "Moderation", "Consumer electronics", "Confluence", "Quip", "Jira", "Salesforce" ], "skillCount" : 9, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a25145b74d8ee00a00bb570", "title" : "Data Collection Associate, V-CARE", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 16.0, "max" : 24.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T03:47:47.735", "fingerprint" : "f8e653d48a9908cdc87724dda5c7efa81486d75bd47d95d0b2ca1a9adb3f386f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440754/apply", "externalId" : "02e4af73-48cd-446a-837a-f0c5c5247c9b", "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", "professionalSkills" : [ "Data collection" ], "hardSkillsList" : [ "Moderating sessions" ], "hardSkills" : [ { "name" : "Moderating sessions", "level" : "intermediate" } ], "majorSkills" : "Data collection, Research participants", "majorSkillsList" : [ "Data collection", "Research participants" ], "coreResponsibilities" : "Follow instructions, Apply best responses, Perform data collected tasks, Partner with coordinators, Adhere to data collection protocol, Follow SOP, Complete project objectives, Work with research participants, Moderate research process, Assist research participants, Support day-to-day operations, Report on operations, Moderate sessions, Own defined tasks, Improve data collection processes, Deliver high quality work, Communicate with team members, Identify issues, Propose solutions, Support several projects, Accept re-prioritization, Perform basic troubleshooting, Escalate technical issues, Work indoor/outdoor, Travel to multiple sites, Lift up to 30lbs", "teamCollaboration" : "Internal team communication", "domainKnowledge" : "Consumer electronic research", "domainList" : [ "consumer-electronic-research" ], "domainSpecificKnowledge" : [ "Consumer electronic research" ], "toolProficiency" : [ "Confluence", "Quip", "Jira", "Salesforce" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Work indoor/outdoor, Travel up to 50 miles, Lift up to 30lbs", "qualificationsBasic" : "Knowledge of Microsoft Office, Reliable transportation", "qualificationsPreferred" : "Experience in research, Experience in data collection, Experience using Confluence, Experience using Quip, Experience using Jira, Experience using Salesforce, End-to-end data collections experience, Moderating 1:1 session independently, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a work from home role) * Lift up to 30lbs when needed * Comfort and proficiency with gaming controllers, joysticks, or similar real-time navigation tools, with the ability to apply those skills in an operational environment. Basic Qualifications: - Knowledge of Microsoft Office products and applications - A good sense of humor, a positive attitude and great team work skills - Reliable transportation Preferred Qualifications: - Experience in research or data collection - Experience using Confluence, Quip, Jira, Salesforce - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 16.00 - 24.00 USD hourly", "summaryDescription" : "Data Collection Associate, V-CARE at Amazon.com Services LLC. Skills: Data collection, Research participants. Follow instructions. Apply best responses", "postedDate" : "2026-06-13T08:29:33.665", "createdAt" : "2026-06-13T08:29:33.665", "lastUpdated" : "2026-06-15T03:47:47.735", "ingestTimestamp" : "2026-06-13T08:29:33.665", "mongoId" : "6a25145b74d8ee00a00bb570", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440754/apply", "salaryAnnualMin" : 33280, "salaryAnnualMax" : 49920, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Moderating sessions", "Data collection", "Research participants", "Consumer electronic research", "Confluence", "Quip", "Jira", "Salesforce" ], "skillCount" : 8, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a7f9bc74574cbbb48a1", "title" : "Senior Data Solutions Lead, Data Collection Excellence", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Technical Account Management, Artificial Intelligence", "salary" : { "min" : 74500.0, "max" : 130300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T05:29:30.204", "fingerprint" : "84faf7bf5c24c4b3f6c7738581ffd13beb18759274a180ac3b1eb7a9d13a3d84", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3197054/apply", "externalId" : "3ecf8490-6a1c-44a7-8769-925b69a3d4a9", "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", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "ML, Gen AI", "professionalSkills" : [ "Technical advisory", "Partnership building", "Workflow feasibility", "Annotation scalability" ], "hardSkillsList" : [ "ML workflow capabilities", "Collection health metrics" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "ML workflow capabilities", "level" : "intermediate" }, { "name" : "Collection health metrics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data collection, ML solutions, Customer success", "majorSkillsList" : [ "Data collection", "ML solutions", "Customer success" ], "coreResponsibilities" : "Drive ML/GenAI solutions, Document ML/GenAI solutions, Transform research objectives, Create data collection requirements, Own global team improvement projects, Coordinate across teams, Ensure seamless delivery, Ensure stakeholder alignment, Own relationships with customer scientists, Provide expert consultation, Monitor collection health metrics, Optimize collection health metrics, Drive customer adoption, Provide technical value, Provide exemplary customer experience, Guide customers on workflow feasibility, Guide customers on data collection best practices, Collaborate with implementation teams, Define technical requirements, Validate technical requirements, Evaluate scalability of annotation scenarios, Provide strategic recommendations, Influence technical documentation, Author technical documentation, Influence technical guidelines, Author technical guidelines", "teamCollaboration" : "Customer scientists; Implementation teams; Global team", "projectManagementSkills" : [ "Project management", "Program management" ], "domainKnowledge" : "ML data solutions; ML workflow capabilities; Data collection best practices; Annotation scalability", "domainList" : [ "ml-data-solutions", "ml-workflow-capabilities", "data-collection-best-practices", "annotation-scalability" ], "domainSpecificKnowledge" : [ "ML data solutions", "ML workflow capabilities", "Data collection best practices", "Annotation scalability" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical documentation; Technical guidelines", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Deliver meaningful change; Make global process efficient", "qualificationsBasic" : "Experience working with customers, Analytical skills, Attention to detail, Effective communication abilities", "qualificationsPreferred" : "Master's degree, Experience in project management, Experience in program management, 4+ years of technical support experience, Experience in leadership positions, Experience in account management positions", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about bridging the gap between technical ML solutions and customer success? Do you thrive providing consultation in an ambiguous environment, all while building customer partnerships? Do you have experience managing complex technical projects from end to end? We're looking for a Senior Data Solutions Lead to join our growing team! About the Role: As a Data Solutions Lead, you'll be the trusted advisor for our AGI-DS scientists, providing expert consultation on high complexity ML/Gen AI data collections and manage emerging customer relationships. You'll drive business value through technical advisory and partnership building, creating and managing workstreams that delight our customers and deliver meaningful change for the models that back them, while simultaneously making global process more efficient. Key job responsibilities What You'll Do: Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements Own global team improvement projects Coordinate across teams to ensure seamless delivery and stakeholder alignment Own relationships with customer scientists, becoming their go-to partner for ML data solutions Provide expert consultation on ML workflow capabilities, helping customers maximize value Monitor and optimize collection health metrics to ensure customer success Drive customer adoption through providing technical value and the provision of an exemplary customer experience. You'll also: Guide customers on workflow feasibility and data collection best practices Collaborate with implementation teams to define and validate technical requirements Evaluate scalability of annotation scenarios and provide strategic recommendations Influence and author technical documentation and guidelines Basic Qualifications: - Experience working with customers with a passion for delivering exceptional service, or experience in technical support and experience that includes strong analytical skills, attention to detail, and effective communication abilities Preferred Qualifications: - Master's degree in business administration, finance, economics, computer science, data science, engineering, or other related field - Experience in project or program management - 4+ years of technical support experience, or experience in leadership or account management positions 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 - 74,500.00 - 130,300.00 USD annually", "summaryDescription" : "Senior Data Solutions Lead, Data Collection Excellence at Amazon.com Services LLC. Skills: Data collection, ML solutions, Customer success. Drive ML/GenAI solutions. Document ML/GenAI solutions", "postedDate" : "2026-06-13T10:59:13.338", "createdAt" : "2026-06-13T10:59:13.338", "lastUpdated" : "2026-06-15T05:29:30.204", "ingestTimestamp" : "2026-06-13T10:59:13.338", "mongoId" : "69c94a7f9bc74574cbbb48a1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3197054/apply", "salaryAnnualMin" : 74500, "salaryAnnualMax" : 130300, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "ML workflow capabilities", "Collection health metrics", "Leadership", "Data collection", "ML solutions", "Customer success", "Technical advisory", "Partnership building", "Workflow feasibility", "Annotation scalability", "Project management", "Program management", "ML data solutions", "Data collection best practices" ], "skillCount" : 14, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a6d9bc74574cbbb3760", "title" : "Data Collection Associate, V-CARE", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 16.0, "max" : 24.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T02:36:16.124", "fingerprint" : "47d0d28926180d2849f602840a7418b7ed4f82cf557abea56ee6d742dfd90725", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194808/apply", "externalId" : "9d05e18a-f86c-4d95-ae6a-fcc44adbaffe", "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", "coreResponsibilities" : "Follow clear instructions, Apply best responses to multiple choice situations, Perform data collected related tasks, Adhere to data collection protocol, Follow SOP to complete project objectives, Work one-on-one with research participants, Moderate research process, Assist research participants, Support day-to-day operations of collection projects, Report on collection projects, Moderate collection projects, Own defined tasks within projects, Improve parts of the data collection processes, Deliver high quality work, Communicate internally with team members, Identify issues, Propose solutions for long term sustainability, Support several projects at one time, Accept re-prioritization as required, Perform basic troubleshooting tasks, Escalate technical issues as needed, Work indoor/outdoor in the field, Travel to multiple sites", "teamCollaboration" : "Partner closely with Program Coordinators; Partner closely with Data Collection Leads; Partner closely with Data Collection Specialists; Communicate internally with team members", "toolProficiency" : [ "Microsoft Office", "Confluence", "Quip", "Jira", "Salesforce" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Travel to multiple sites within 50 miles, Lift up to 30lbs, Work indoor/outdoor 4-5 days per week", "qualificationsBasic" : "Knowledge of Microsoft Office products, Reliable transportation", "qualificationsPreferred" : "Experience using Confluence, Experience using Quip, Experience using Jira, Experience using Salesforce, Experience moderating a 1:1 session with users independently in the field, Experience moderating sessions with users of different age and demographics, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a remote role) * Lift up to 30lbs when needed Basic Qualifications: - Knowledge of Microsoft Office products and applications - Reliable transportation Preferred Qualifications: - Experience using Confluence, Quip, Jira, Salesforce - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 16.00 - 24.00 USD hourly", "summaryDescription" : "Data Collection Associate, V-CARE at Amazon.com Services LLC. Follow clear instructions. Apply best responses to multiple choice situations", "postedDate" : "2026-06-13T06:46:03.656", "createdAt" : "2026-06-13T06:46:03.656", "lastUpdated" : "2026-06-15T02:36:16.124", "ingestTimestamp" : "2026-06-13T06:46:03.656", "mongoId" : "69c94a6d9bc74574cbbb3760", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194808/apply", "salaryAnnualMin" : 33280, "salaryAnnualMax" : 49920, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Microsoft Office", "Confluence", "Quip", "Jira", "Salesforce" ], "skillCount" : 5, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c94e874d8ee00a098bdf5", "title" : "Financial Performance and Analysis", "company" : "Getnet", "industry" : "FinTech", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Financial Performance and Analysis role in Madrid, Spain, adjusted for the FinTech industry." }, "location" : "Madrid, Madrid, Spain", "locations" : [ "Madrid", "Madrid", "Spain" ], "timestamp" : "2026-06-15T09:26:43.034", "fingerprint" : "d7381340f9999217e17b528557279df139e22bc370b91841aa7b793c17934513", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/getnet/jobs/4751604101", "externalId" : "4751604101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "state" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "40.4237276,-3.6899043" } ], "locationText" : "Madrid, Madrid, Spain", "minimumEducation" : "Bachelor's", "softSkillsList" : [ "Clear communication", "Analytical mindset" ], "softSkills" : [ { "name" : "Clear communication" }, { "name" : "Analytical mindset" } ], "teamCollaboration" : "FP&A teams; Finance & Accounting teams; Finance Tech teams; Regional teams", "domainKnowledge" : "Payment solutions; Fintech; Acquiring hub", "domainList" : [ "payment-solutions", "fintech", "acquiring-hub" ], "domainSpecificKnowledge" : [ "Payment solutions", "Fintech", "Acquiring hub" ], "communicationSkills" : "Clear communication", "continuousLearning" : "Self-development programmes", "problemSolvingSkills" : "Identify data inconsistencies; Identify structural effects; Identify model-related issues", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "✨ Your talent drives our future Getnet is a global technology company specializing in payment solutions for commerce. Founded in Brazil and operating across Latin America and the Iberian Peninsula, we support over 1.3 million merchants with end-to-end services — from POS terminals to e-commerce platforms. We are part of PagoNxt, the global fintech of the Santander Group, and operate as an acquiring hub with a strong presence in Spain, Portugal, Brazil, Mexico, Chile, Argentina, and Uruguay. Our mission is clear: to simplify payments with innovation, security, and scale, helping businesses of all sizes grow with agility. We offer a unified platform that integrates hardware, software, fraud prevention, acquiring, reconciliation, and financial services — all in a single ecosystem, so our clients can focus on growing their business. Being part of Getnet means joining a company that combines the innovation of a fintech with the solidity of a global bank. Imagine your future. Care for your career. Simplify your journey. This means you'll have the chance to build impactful solutions, grow with real development opportunities, and thrive in a culture that values well-being, inclusion, and clarity. We combine flexibility, autonomy, and global collaboration — so you can focus on what matters, connect with purpose, and help shape the future. Here, you'll find space to grow, real opportunities to lead, and a culture where everyone belongs and contributes. ✨ If you want to be part of the next generation of financial solutions, this is the place. At Getnet, we are looking for a Financial Performance and Analysis to join our team in Madrid. \uD83D\uDCCCWhat you'll do Financial Model Architecture: maintain and evolve the financial model structure and driver logic used for performance analysis, forecasting and planning. Data Integrity & Consistency: ensure consistency and reliability of data across actuals, forecast and planning cycles through validation and reconciliation. Assumptions & Calculations Validation: review and validate assumptions, calculations and model behaviour to ensure financial coherence. Regional Coordination & Consolidation: coordinate and consolidate financial inputs from countries and regions, applying and explaining consolidation rules. Performance: contribute to financial performance activities by clarifying model-related drivers and structural effects behind deviations. Forecast & Planning: work closely with planning to reflect planning assumptions and scenarios accurately within the financial model. Process & Tool Improvement: collaborate with Finance Tech to improve data quality, automation and robustness across FP&A processes. What we are looking for Experience Strong track record in FP&A, financial modelling, controlling or planning roles. Exposure to actuals, forecast and planning cycles. Experience using planning tools (Oracle EPM or similar) is a plus Experience working with financial data from multiple countries or business units. Education, knowledge and skills Bachelor’s degree in Finance, Economics, Business Administration, Engineering or a related field. A Master’s degree in Finance, Corporate Finance, Business Analytics or similar is a plus. Knowledge of Power BI, Power Query, SQL, Oracle, Databricks or similar tools is an advantage. Solid financial modelling skills and understanding of P&L structure and key drivers. Strong skills and ability to work with structured financial data. Understanding of forecasting logic, assumptions and sensitivities. Ability to identify data inconsistencies, structural effects and model-related issues. Clear communication skills and ability to work with FP&A, Finance & Accounting, Finance Tech and regional teams. Proactive attitude, attention to detail and analytical mindset. \uD83C\uDFAF What we offer \uD83E\uDE7A Medical insurance \uD83D\uDCAA Wellhub \uD83D\uDE91 Life insurance \uD83D\uDC89 Annual healthcare \uD83D\uDE8C Transportation allowance \uD83C\uDF55 Meal voucher/food voucher \uD83D\uDCDA Access to self-development programmes \uD83C\uDFE2 Hybrid Collaborative environment: Successful candidate must be prepared to work 60% on site \uD83D\uDCEC Next step Apply and if you know someone who might be looking for this opportunity, share it.", "summaryDescription" : "Financial Performance and Analysis at Getnet", "postedDate" : "2026-06-14T04:54:16.069", "createdAt" : "2026-06-14T04:54:16.069", "lastUpdated" : "2026-06-15T09:26:43.034", "ingestTimestamp" : "2026-06-14T04:54:16.069", "mongoId" : "6a2c94e874d8ee00a098bdf5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Clear communication", "Analytical mindset", "Payment solutions", "Fintech", "Acquiring hub" ], "skillCount" : 5, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305762f292fd229cf390d6", "title" : "Collection Manager", "company" : "Toss", "industry" : "FinTech", "salary" : { "min" : 6.5E7, "max" : 9.5E7, "currency" : "KRW", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Collection Manager in Seoul, South Korea, adjusted for the banking industry and company size." }, "location" : "Seoul, Seoul, South Korea", "locations" : [ "Seoul", "Seoul", "South Korea" ], "timestamp" : "2026-06-16T08:37:21.889", "fingerprint" : "3c76bb1850513c0599ccd712c85379d626012e1ff6679bada4c43ad391c05e37", "source" : "greenhouse", "language" : "ko", "applyUrl" : "https://toss.im/career/job-detail?gh_jid=7773277003", "externalId" : "7773277003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seoul", "state" : "Seoul", "country" : "South Korea", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "37.5534363,126.9697994" } ], "locationText" : "Seoul, Seoul, South Korea", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Performance management", "Contract management", "Fee structure planning", "Operational planning", "Data analysis", "Strategy planning", "Action item execution", "Recovery strategy", "Operational improvement", "Data analysis", "Strategy development", "Action item execution", "Recovery operations", "Operational improvement", "Data analysis", "Experimentation", "Collection management", "Innovation" ], "hardSkillsList" : [ "Performance analysis", "Fee structure design", "Recovery strategy design", "Operational improvement", "Data analysis", "Strategy planning", "Action item execution", "Recovery operations management", "Recovery efficiency improvement", "Data analysis", "Experimentation" ], "hardSkills" : [ { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Fee structure design", "level" : "intermediate" }, { "name" : "Recovery strategy design", "level" : "intermediate" }, { "name" : "Operational improvement", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Strategy planning", "level" : "intermediate" }, { "name" : "Action item execution", "level" : "intermediate" }, { "name" : "Recovery operations management", "level" : "intermediate" }, { "name" : "Recovery efficiency improvement", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" } ], "majorSkills" : "Collection strategy, Outsourcing management, Recovery operations, Data analysis", "majorSkillsList" : [ "Collection strategy", "Outsourcing management", "Recovery operations", "Data analysis" ], "coreResponsibilities" : "Manage performance of collection outsourcing partners, Manage contracts with collection outsourcing partners, Operate and manage collection outsourcing business, Plan fee structures for outsourcing partners, Design and execute operational plans to increase recovery, Analyze delinquency and recovery performance metrics, Plan recovery strategies based on analysis, Execute action items for recovery strategies, Manage short-term recovery operations, Continuously improve outsourcing partner recovery efficiency, Innovate collection management through data analysis and experiments", "domainKnowledge" : "Post-loan management; Collection outsourcing; Fee structures; Recovery metrics; Regulatory changes; Personal debtor protection act; Personal business loan 119", "domainList" : [ "post-loan-management", "collection-outsourcing", "fee-structures", "recovery-metrics", "regulatory-changes", "personal-debtor-protection-act", "personal-business-loan-119" ], "domainSpecificKnowledge" : [ "Post-loan management", "Collection outsourcing", "Fee structures", "Recovery metrics", "Regulatory changes", "Personal debtor protection act", "Personal business loan 119" ], "communicationSkills" : "Stakeholder coordination", "problemSolvingSkills" : "Data analysis; Strategy development", "outcomesObjectives" : "Increase recovery rates; Improve outsourcing partner recovery efficiency; Innovate collection management", "qualificationsBasic" : "3+ years of experience in post-loan management in the financial sector, Experience operating collection outsourcing partners, Experience planning or changing fee structures, Experience changing operational methods, Domain knowledge of post-loan management policies and systems, High understanding of post-loan management, Ability to handle data proficiently, Ability to connect performance analysis to strategy development, Ability to proactively coordinate communication with various stakeholders", "qualificationsPreferred" : "Experience in write-offs, legal actions, or subrogation, Experience reflecting regulatory changes in collection operations, Communication experience with industry groups or regulatory authorities, Experience resolving internal discussion points", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "합류하게 될 팀에 대해 알려드려요 토스뱅크 Collection Manager는 Collection Tribe 내 Collection Strategy Team에 속하게 돼요. Collection Strategy Team은 NPL Management Team과 함께 토스뱅크의 여신 사후관리 업무를 담당해요. 그 중 Collection Strategy Team은 연체가 부실로 넘어가지 않도록 방어하고, 추심·회수 전략을 수립하여 명확한 액션아이템을 도출하는 역할을 맡고 있어요. 이번에 합류하실 분은 특히 채권추심 업무위탁사(위임사) 운영을 중심으로, 회수율을 높이기 위한 다양한 시도를 함께하실 분을 기대하고 있어요. 합류하면 함께할 업무예요 채권추심 업무위탁사(위임사)의 성과 관리, 계약 관리 등 채권추심 업무위탁 관련 업무 전반을 운영·관리해요. 위임사 수수료 체계(스킴)를 기획하고, 회수 성과를 높이기 위한 운영 방안을 설계·실행해요. 연체율 및 회수 관련 성과 지표를 분석하고, 분석 결과를 바탕으로 회수 전략을 기획하여 액션 아이템을 실행해요. 연체가 장기화되지 않도록 단기 회수 운영을 관리하며, 위임사의 회수 효율을 지속적으로 개선해요. 데이터 분석과 다양한 실험을 통해 기존 금융사의 관습과는 다른 채권관리의 혁신을 만들어요. 이런 분과 함께하고 싶어요 금융권에서 여신 사후관리 업무를 3년 이상 경험해오신 분을 찾고 있어요. 특히 채권추심 업무위탁사(위임사) 운영 경험이 있고, 수수료 스킴을 직접 기획하거나 운영 방식에 변화를 만들어본 경험이 있으신 분이 필요해요. 여신 사후관리 정책 및 제도에 대한 도메인 지식과 전문성을 갖춘 분이 필요해요. 사후관리 업무 전반에 대한 이해도가 높고, 데이터를 능숙하게 다루어 성과 분석과 전략 도출까지 연결할 수 있으면 좋아요. 다양한 이해관계자와의 커뮤니케이션을 주도적으로 조율할 수 있는 역량이 있으면 좋아요. 매상각·법조치·대위변제 등 사후관리 전반의 운영 경험이 있다면 좋아요. 이력서는 이렇게 작성하시는 걸 추천해요 채권추심 업무위탁(위임사) 운영 관련해서 회수 성과를 향상시킨 경험을 구체적으로 작성해주세요. 특히 수수료 스킴을 기획하거나 운영 방식에 변화를 준 사례가 있다면 꼭 담아주세요. 개인채무자보호법, 개인사업자대출119 등 제도 변화에 맞춰 채권추심이나 채권추심 업무위탁 등 실질적인 여신관리 업무에 이를 반영한 구체적인 경험을 작성해주세요. 그 과정에서 업권 단체 또는 감독 당국 등과 소통한 경험이나 내부 논의 과정에서 있었던 쟁점, 그리고 이를 어떻게 해결했는지가 드러나면 더욱 좋아요. 토스뱅크팀은 서류 내용의 구체성을 중요하게 생각해요. 기존 업무를 단순한 시계열로 나열하기보다는, JD를 기준으로 사례와 성과에 기반한 경험을 상세히 기재해주세요. 토스뱅크로의 합류 여정 서류접수 > 직무 인터뷰 > 문화적합성 인터뷰 > 레퍼런스 체크 > 처우협의 > 최종합격 및 입사 꼭 확인해주세요 이력서 및 제출 서류에 허위 사실이 발견되거나 근무 이력 중 징계사항이 확인될 경우, 채용이 취소될 수 있어요. 장애인 및 국가보훈대상자는 지원 시 관련법에 따라 우대하고 있어요. 토스뱅크 내부규정상 결격사유 해당자 또는 금융기관 인력 채용 상 결격사유 해당자는 채용이 취소될 수 있어요. 함께 할 동료를 위한 한마디 \"새로운 은행의 기반을 튼튼히 닦는 일에 임팩트있게 기여할 수 있어요.\" 토스뱅크는 중저신용 고객을 포용하여 새로운 은행을 만들고 있어요. 앞으로 토스뱅크의 대출이 더욱 다양해지고 늘어나더라도, 단단하게 운영할 수 있도록 하는 것이 저희의 가장 큰 목표예요. 이 목표 달성을 위해서 안정적인 연체율/회수율 관리에 자신 있는 동료를 기다리고 있으니 많은 지원과 관심 부탁드려요!", "summaryDescription" : "Collection Manager at Toss. Skills: Collection strategy, Outsourcing management, Recovery operations, Data analysis. Manage performance of collection outsourcing partners. Manage contracts with collection outsourcing partners", "postedDate" : "2026-06-15T23:29:25.135", "createdAt" : "2026-06-15T23:29:25.135", "lastUpdated" : "2026-06-16T08:37:21.889", "ingestTimestamp" : "2026-06-15T23:29:25.135", "mongoId" : "6a305762f292fd229cf390d6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Performance analysis", "Fee structure design", "Recovery strategy design", "Operational improvement", "Data analysis", "Strategy planning", "Action item execution", "Recovery operations management", "Recovery efficiency improvement", "Experimentation", "Collection strategy", "Outsourcing management", "Recovery operations", "Performance management", "Contract management", "Fee structure planning", "Operational planning", "Recovery strategy", "Strategy development", "Collection management", "Innovation", "Post-loan management", "Collection outsourcing", "Fee structures", "Recovery metrics", "Regulatory changes", "Personal debtor protection act", "Personal business loan 119" ], "skillCount" : 28, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Banking", "llmIndustryConfidence" : 0.95 }, { "id" : "69c94a6d9bc74574cbbb3756", "title" : "Data Collection Associate, V-CARE", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 16.0, "max" : 24.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-14T22:27:01.343", "fingerprint" : "71fa44e5e691edfc7b1f596fb703859c6207901c2d8c1a144b0a226407454aa7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194803/apply", "externalId" : "3f9c4401-7ee0-4aa2-a218-8559f2666ac1", "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", "hardSkillsList" : [ "Data collection" ], "softSkillsList" : [ "Teamwork" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Teamwork" } ], "majorSkills" : "Data collection", "majorSkillsList" : [ "Data collection" ], "coreResponsibilities" : "Adhere to data collection protocol, Follow SOP to complete project objectives, Moderate and assist research participants, Support day-to-day operations of collection projects, Own defined tasks within projects, Improve parts of the data collection processes, Deliver high quality work, Communicate internally with team members, Identify issues, Propose solutions for sustainability of processes, Support several projects at one time, Accept re-prioritization as required, Perform basic troubleshooting tasks, Escalate technical issues as needed, Work indoor/outdoor in the field, Travel to multiple sites", "teamCollaboration" : "Partner with Program Coordinators; Partner with Data Collection Leads; Partner with Data Collection Specialists; Communicate with team members", "domainKnowledge" : "Consumer electronic research", "domainList" : [ "consumer-electronic-research" ], "domainSpecificKnowledge" : [ "Consumer electronic research" ], "toolProficiency" : [ "Confluence", "Quip", "Jira", "Salesforce" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Travel to multiple sites within 50 miles, Lift up to 30lbs", "qualificationsBasic" : "Knowledge of Microsoft Office products, Reliable transportation", "qualificationsPreferred" : "Experience in research or data collection, Experience using Confluence, Quip, Jira, Salesforce, End-to-end, hands-on experience with aspects of data collections, Experience moderating a 1:1 session with users independently, Experience moderating sessions with users of different age and demographics, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a work from home role) * Lift up to 30lbs when needed Basic Qualifications: - Knowledge of Microsoft Office products and applications - A good sense of humor, a positive attitude and great team work skills - Reliable transportation Preferred Qualifications: - Experience in research or data collection - Experience using Confluence, Quip, Jira, Salesforce - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 16.00 - 24.00 USD hourly", "summaryDescription" : "Data Collection Associate, V-CARE at Amazon.com Services LLC. Skills: Data collection. Adhere to data collection protocol. 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The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a work from home role) * Lift up to 30lbs when needed Basic Qualifications: - Knowledge of Microsoft Office products and applications - A good sense of humor, a positive attitude and great team work skills - Reliable transportation Preferred Qualifications: - Experience in research or data collection - Experience using Confluence, Quip, Jira, Salesforce - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, WA, Bellevue - 20.00 - 22.00 USD hourly", "summaryDescription" : "Data Collection Associate, V-CARE at Amazon.com Services LLC. Adhere to data collection protocol. 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S. or Ph. D.", "experienceMinYears" : 12, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "technicalSkills" : "SoCs, FPGAs, MCUs, NVIDIA Jetson, PCIe, DDR4, DDR5, GMSL, 10GbE, GigE, GMSL2, USB 3.0, MIPI", "professionalSkills" : [ "System design", "Hardware architecture", "Data pipeline optimization", "Safety architecture", "Roadmap definition" ], "hardSkillsList" : [ "PCB design", "Power delivery networks", "Thermal dissipation", "Signal integrity", "DFM", "DFR", "Sensor fusion", "Low-latency data delivery", "Fail-safe mechanisms", "Built-In Tests", "Hardware diagnostics" ], "softSkillsList" : [ "Mentorship" ], "hardSkills" : [ { "name" : "PCB design", "level" : "intermediate" }, { "name" : "Power delivery networks", "level" : "intermediate" }, { "name" : "Thermal dissipation", "level" : "intermediate" }, { "name" : "Signal integrity", "level" : "intermediate" }, { "name" : "DFM", "level" : "intermediate" }, { "name" : "DFR", "level" : "intermediate" }, { "name" : "Sensor fusion", "level" : "intermediate" }, { "name" : "Low-latency data delivery", "level" : "intermediate" }, { "name" : "Fail-safe mechanisms", "level" : "intermediate" }, { "name" : "Built-In Tests", "level" : "intermediate" }, { "name" : "Hardware diagnostics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentorship" } ], "majorSkills" : "Compute architecture, Sensing architecture, Hardware design, Functional Safety", "majorSkillsList" : [ "Compute architecture", "Sensing architecture", "Hardware design", "Functional Safety" ], "coreResponsibilities" : "Own compute architecture design, Select processing elements, Design system-level redundancy, Lead custom carrier board design, Manage power delivery networks, Manage thermal dissipation strategies, Manage high-speed signal integrity, Drive DFM for compute modules, Drive DFR for compute modules, Define perception electrical architecture, Architect high-bandwidth pipelines, Architect synchronization protocols, Manage communication interfaces, Ensure low-latency data delivery, Drive physical safety architecture decisions, Drive logical safety architecture decisions, Design hardware-level redundancy, Design fail-safe mechanisms, Design Built-In Tests, Implement hardware diagnostics, Define compute/sensing roadmap, Identify emerging technologies, Act as technical authority, Provide technical mentorship", "teamCollaboration" : "Design reviews; Cross-functional teams", "projectManagementSkills" : [ "Roadmap definition" ], "domainKnowledge" : "Embodied AI; General-purpose robotics; Humanoid robots; Functional Safety standards; ASIL; SIL; Real-time performance", "domainList" : [ "embodied-ai", "general-purpose-robotics", "humanoid-robots", "functional-safety-standards", "asil", "sil", "real-time-performance" ], "domainSpecificKnowledge" : [ "Embodied AI", "General-purpose robotics", "Humanoid robots", "Functional Safety standards", "ASIL", "SIL", "Real-time performance" ], "toolProficiency" : [ "Altium Designer", "SPICE", "Ansys", "HyperLynx" ], "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Lift 15 pounds", "qualificationsBasic" : "12+ years high-performance hardware design, Robotics experience, Autonomous vehicles experience, Aerospace experience, NVIDIA Jetson carrier board design, High-speed digital design, Multi-sensor suite integration, Hardware-level time synchronization, Functional Safety architecture experience, Altium Designer proficiency, Hardware simulation tools proficiency", "qualificationsPreferred" : "M. S. or Ph. D. in Electrical Engineering, M. S. or Ph. D. in Computer Engineering, PCIe experience, DDR4/5 experience, GMSL experience, 10GbE experience, ISO 26262 experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better. JOB SUMMARY Apptronik is seeking a world-class Principal Compute & Sensing Engineer to serve as the lead architect for the \"nervous system\" of the Apollo humanoid robot. This is a top-tier technical role for an expert who can design and implement the high-performance compute and sensory backbone required for general-purpose robotics. You will be responsible for the end-to-end hardware architecture—from NVIDIA Jetson-based carrier designs to the electrical integration of complex perception suites—ensuring that Apollo is powerful, redundant, and functionally safe. ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES Primary Architect: Own the end-to-end design of Apollo’s safe compute architecture. Select core processing elements (SoCs, FPGAs, MCUs) and design system-level redundancy to meet real-time performance requirements. High-Performance PCB Design: Lead the design and validation of custom carrier boards for high-performance modules (e.g., NVIDIA Jetson). Expertly manage power delivery networks (PDN), thermal dissipation strategies, and high-speed signal integrity for complex interfaces. Manufacturing & Reliability: Drive Design for Manufacturability (DFM) and Design for Reliability (DFR) for compute modules, ensuring they can withstand the high-vibration and dynamic thermal environments of a mobile humanoid robot. Multi-Modal Sensing: Define the electrical architecture for a full perception stack, including LiDAR, depth cameras, IMUs, and tactile sensors. Data Pipeline Optimization: Architect the high-bandwidth pipelines and synchronization protocols required for sensor fusion. Manage complex communication interfaces (GigE, GMSL2, USB 3.0, MIPI) to ensure low-latency data delivery to the perception software. Safety Architecture: Drive the physical and logical architecture decisions required to meet Functional Safety standards Fail-Safe Systems: Design hardware-level redundancy, fail-safe mechanisms, and Built-In Tests (BIT) to achieve required safety integrity levels (ASIL/SIL) for operation in human-occupied environments. Diagnostics: Implement robust hardware diagnostics to monitor the health of the compute and sensing backbone in real-time. Multi-Generational Roadmap: Define the long-term technical roadmap for Apollo’s compute and sensing evolution, identifying emerging technologies (e.g., new SoCs or sensor modalities) that will keep Apptronik at the cutting edge. Cross-Functional Influence: Act as the ultimate technical authority on compute/sensing during design reviews with the Controls, Perception, and Systems Engineering teams. Mentorship: Provide deep technical mentorship to electrical and embedded engineers, fostering a culture of rigorous engineering and innovation without the burden of administrative management. SKILLS AND REQUIREMENTS Expertise: * Proven track record of designing custom carrier boards for NVIDIA Jetson or similar high-end compute modules. Mastery of high-speed digital design (PCIe, DDR4/5, GMSL, 10GbE). Experience integrating multi-sensor suites with precise hardware-level time synchronization. Hands-on experience with Functional Safety architecture (ISO 26262 or equivalent). Tools: Proficiency with Altium Designer (or similar) and hardware simulation tools (SPICE, Ansys, or HyperLynx). EDUCATION and/or EXPERIENCE Education: M. S. or Ph. D. in Electrical Engineering, Computer Engineering, or a related field. Experience: 12+ years of experience in high-performance hardware design, with a focus on robotics, autonomous vehicles, or aerospace. PHYSICAL REQUIREMENTS Prolonged periods of sitting at a desk and working on a computer Must be able to lift 15 pounds at times Vision to read printed materials and a computer screen Hearing and speech to communicate The annual salary range is $295,000 - $330,000 base *This is a direct hire. Please, no outside Agency solicitations. Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.", "summaryDescription" : "Principal Electrical Engineer - Compute and Sensing at Apptronik. Skills: Compute architecture, Sensing architecture, Hardware design, Functional Safety. Own compute architecture design. 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Our team empowers every customer to grow by providing tailored service, unmatched technology, and architecture guidance. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Shape the future of semiconductor and quantum computing with AWS—architect cloud solutions for the world's most advanced fabs while working at the cutting edge of AI/ML, HPC, and quantum innovation. Join our elite Enterprise Solution Architecture team partnering with industry leaders to transform semiconductor design and manufacturing through breakthrough cloud technologies. As a trusted customer advocate, Solutions Architects help organizations understand best practices around advanced cloud-based solutions, and provide advice on strategies for migrating existing workloads to the cloud. You’ll help drive successful business outcomes across a broad set of enterprise customers through your passion for educating, training, designing and building cloud solutions. You will have the opportunity to help shape and execute a strategy by building deep executive relationships and influence adoption and broad use of AWS within your enterprise customers. You will do this by mobilizing resources within AWS and working with our extensive partner network. If you are excited about developing cloud solutions and assisting our most valuable IoT customers, tackling challenging problems, shaping the future of cloud adoption, enhancing and growing your own skills, and having fun, then we would love to hear from you. Key job responsibilities • Work with customer executives and architects to accelerate their business outcomes and recommend cloud architectures in line with their long-term business needs • Leverage technical depth in AI/ML, Data Analytics, Storage, Compute, Networking to drive technical solutions and help customers solve problems and use your knowledge to craft scalable, flexible, and resilient cloud architectures • Scope and own customer engagements, with attention towards clear and well-defined objectives and success criteria • Define and deliver customer solutions by engaging both internal teams and partners • Share the voice of the customer and proactively work within the organization to influence the evolution of the AWS products and services About the team Join the AWS Enterprise Solution Architecture organization's Semiconductor and Quantum Fab team, where you'll work at the intersection of cutting-edge cloud technology and advanced chip design and manufacturing. Our team partners with leading semiconductor customers to accelerate their digital transformation and drive innovation in next-generation computing. 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: - 2+ years of design, implementation, or consulting in applications and infrastructures experience - 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - • Excellent communication skills with ability to engage both C-level executives and technical teams Preferred Qualifications: - Experience working within software development or Internet-related industries - Experience migrating or transforming legacy customer solutions to the cloud - Experience with AWS services commonly used in semiconductor and research workloads (EC2, FSx for Lustre, AWS ParallelCluster, AWS Batch, SageMaker etc.). Experience with HPC workload management systems (Slurm, PBS, LSF) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, East Palo Alto - 151,000.00 - 204,300.00 USD annually USA, CA, Mountain View - 151,000.00 - 204,300.00 USD annually USA, CA, San Francisco - 151,000.00 - 204,300.00 USD annually USA, CA, Santa Clara - 151,000.00 - 204,300.00 USD annually", "summaryDescription" : "Solutions Architect, Semiconductor and Quantum Fab at Amazon Web Services, Inc.. Skills: Cloud architecture, AI/ML, Semiconductor design, Quantum computing. Recommend cloud architectures. 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At DPD, we aren’t just moving parcels; we’re leading the charge in green logistics and tech-driven delivery. We’re looking for a reliable, tech-savvy 7.5 Tonne Driver to join our team. If you want a role with a clear routine, and a company that actually invests in your future, let’s talk. DPD UK is a member of Geopost who are a market leader in parcel delivery and e-commerce solutions, providing a broad range of delivery and innovative services for customers worldwide. The Perks * Pay: £16.05 per hour + enhanced overtime rates. * Contract Type: Permanent / 40 Hours per week * Days of Work: Monday to Friday * Shift Pattern: 08:30-17:15 * Stability & Growth: We promote from within. This isn’t just a job; it’s a career path. * Sustainability: Work for a company aiming to be the UK’s greenest delivery partner. * Wellness & Support: Health & wellbeing services via Unum Help@Hand and Vitality at Work for you and your family. Milestone Days off(e.g. Birthdays) Enhanced maternity / paternity pay. Life assurance and holiday trading options. * Retail Discounts: Save at 100s of retailers (including 5% off your weekly shop). The Role You’ll be the face of DPD, managing a designated route with roughly 20-25 deliveries and up to 7 collections. You’re not just a driver; you’re a problem-solver and a tech-user. 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The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a work from home role) * Lift up to 30lbs when needed Basic Qualifications: - Knowledge of Microsoft Office products and applications - A good sense of humor, a positive attitude and great team work skills - Reliable transportation Preferred Qualifications: - Experience in research or data collection - Experience using Confluence, Quip, Jira, Salesforce - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 16.00 - 24.00 USD hourly", "summaryDescription" : "Data Collection Associate I, V-CARE at Amazon.com Services LLC. Adhere to data collection protocol. 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[https://app.ashbyhq.com/api/images/user-content/c732ad7a-0ae4-498f-b42a-bf284905cf4d/eaa3e7e4-29ff-4c00-86a8-f04fab8ec14a/Screenshot%202026-04-29%20at%2015.07.01.png] You’ll join a global, cross-functional team that values rigour, curiosity and working close to real-world challenges. Whether your focus is AI, climate, product or operations, you’ll have space to contribute meaningfully and make an impact from day one. If you’re excited by complex problems and want to help reshape how nature is valued in real-world decision-making, we’d love to hear from you. ROLE PURPOSE & RESPONSIBILITIES We are hiring a Machine Learning Scientist into the Science Team to contribute to the development of models — from classical statistics and gradient-boosted methods through to deep learning when warranted — that turn satellite, radar, and LiDAR observations into defensible, plot-level intelligence on the world's commodity supply chains. You will work across the full lifecycle — from research and prototyping through to validated, productionised models. A meaningful fraction of the team's work centres on building lightweight downstream models — classifiers, regressors, similarity-search workflows. Likely focus areas for this role include: - Commodity and plantation mapping by region - palm oil, cocoa, coffee, rubber, soy, timber and similar - in support of EUDR compliance and supply-chain due diligence. - Forest degradation and biomass / canopy-height estimation from multi-sensor fusion. - Develop ARR feasibility models that fuse climate, soil, and remote-sensing inputs to estimate site potential, forecast biomass and carbon trajectories, and quantify physical and permanence risk. RESPONSIBILITIES: - Design, train and evaluate ML models - from gradient-boosted methods to CNNs, U-Nets and vision transformers - for commodity and plantation mapping, land-cover classification, change and disturbance detection, and biomass / canopy-height estimation. - Build embedding-driven workflows on top of EO foundation models - few-shot classifiers, similarity search, downstream regressors. - Design validation strategies that benchmark outputs against plot inventories and third-party reference datasets, quantify uncertainty, and surface failure modes; produce QA artefacts (maps, plots, model cards, error analyses) that internal teams and clients can trust and defend. - Partner with Engineering to take models into scalable, reproducible inference pipelines across millions of plots, and contribute to a strong research culture across Science, AI and Engineering - reviewed code, shared tooling, and active engagement with EO/ML literature. WHO YOU ARE: MUST-HAVE REQUIREMENTS: - Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. - 3+ years of applied machine-learning experience, including time spent in an industry, product, or startup setting i.e. shipping models. - Expertise in geospatial Python tooling: rasterio, xarray, geopandas, GDAL, and the STAC ecosystem. - Hands-on experience training, evaluating, and debugging ML models across the modern Python stack - deep learning (CNNs, U-Nets, vision transformers) using PyTorch, as well as classical methods (gradient boosting, random forests) with scikit-learn. - Demonstrable experience with remote sensing data (optical, SAR) and an understanding of the sensor-specific quirks that matter for modelling. - Comfortable with Git, cloud compute (AWS or similar), and collaborative codebases. - Clear written and verbal communication: can explain modelling choices, uncertainties, and trade-offs to scientific and non-scientific stakeholders. - Domain exposure: deforestation, land-use change, biomass / canopy-height estimation, climate risk, or supply-chain transparency. DESIRABLE REQUIREMENTS: - Experience using EO foundation models as a downstream substrate - building lightweight classifiers, regressors, or similarity-search workflows on top of frozen embeddings (e.g., AlphaEarth Foundations, Clay, etc). Comfortable fine-tuning or pretraining where the case justifies it. - Multi-modal fusion experience - combining optical (Sentinel-2, Landsat), SAR (Sentinel-1, PALSAR), and/or LiDAR (GEDI, ICESat-2) into unified predictions. - Time-series modelling for environmental change detection - temporal transformers, sequence models, or self-supervised approaches. - Comfortable building with AI-assisted development tools as a core part of your workflow. - Familiarity with Google Earth Engine, Microsoft Planetary Computer, AWS Open Data, or other STAC-based catalogues. - Experience working in cross functional teams working alongside solutions architects, sales, and engineering. WHO YOU’LL WORK WITH You’ll report to the Science Team Lead and partner day-to-day with the wider Science Team while working closely with Engineering and Product teams. INTERVIEW PROCESS & WHAT TO EXPECT This is a Science Team role with regular touch points with Engineering and Product - the interview process gives you a chance to meet your immediate team and a couple of key partners. - Recruiter screen (30 min) - Hiring manager (45-60 min) - Science Team technical interview (45 min) - Engineering and/or Product interview (30 min) - Potential in-person problem-solving session with the team - designed to be interactive and a glimpse of what being part of the Science Team will be like! Accessibility: Tell us if you need adjustments, we’ll accommodate. What you’ll gain at Treefera - Build something that matters - join a high-growth climate-tech company applying AI, satellite data and quantitative modelling to real-world challenges across global supply chains, commodities and carbon. - Work on complex, meaningful problems - develop systems that balance risk, resilience, compliance and sustainability, giving organisations a genuine information advantage at global scale. - Collaborate with exceptional people - work alongside scientists, engineers and operators who are leaders in their fields, combining academic rigour with practical, cross-functional product delivery. - Ship and grow in a high-trust environment - experiment, iterate and take thoughtful risks in a team that values autonomy, creativity and continuous learning. - Develop your craft - dedicated space and time to grow your skills toward mastery, tackling technically demanding challenges that push the boundaries of applied AI and environmental data. - Be rewarded for your impact - competitive compensation, equity options, meaningful benefits, and the opportunity to help shape the future of AI-powered risk and environmental intelligence. Diversity, Equity & Inclusion Bold solutions come from diverse teams. Please refer to our DEI & EEO commitment below. If you need any accommodation during the application process, we’re here to support you. Learn more about how we think and build Many of our engineers, scientists and product leaders share their thinking publicly. Explore the Treefera blog https://www.treefera.com/blog for technical deep dives, research and product perspectives. Privacy notice By applying to Treefera, you consent to the processing of your personal data in line with our Privacy Notice https://files.treefera.com/Treefera%20Personnel%20Privacy%20Notice%20-%20V1.2%20(July%202025).pdf. TREEFERA IS AN EQUAL OPPORTUNITY EMPLOYER. WE BELIEVE THE DIVERSITY OF OUR PEOPLE IS AS VITAL AS THE DIVERSITY OF THE ECOSYSTEMS WE WORK TO PROTECT, AND WE ARE COMMITTED TO BUILDING AN INCLUSIVE WORKPLACE WHERE EVERYONE CAN THRIVE. WE WELCOME APPLICANTS OF ALL BACKGROUNDS IRRESPECTIVE OF RACE, COLOUR, ETHNICITY, NATIONAL ORIGIN, RELIGION, GENDER IDENTITY OR EXPRESSION, SEXUAL ORIENTATION, AGE, DISABILITY, PREGNANCY, OR ANY OTHER CHARACTERISTIC PROTECTED BY APPLICABLE LAW. REASONABLE ACCOMMODATIONS ARE AVAILABLE UPON REQUEST.", "summaryDescription" : "Machine Learning Scientist – Remote Sensing at Treefera. Skills: Machine Learning, Remote Sensing, Data Science. Develop and implement machine learning models. 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Collection regulations; Accounts receivable", "domainList" : [ "collection-laws", "collection-regulations", "accounts-receivable" ], "domainSpecificKnowledge" : [ "Collection laws", "Collection regulations", "Accounts receivable" ], "toolProficiency" : [ "Accounts receivable software", "Collection management systems", "Microsoft Office Suite", "CRM systems" ], "communicationSkills" : "Client communication; Negotiation", "documentationSkills" : "Record keeping", "problemSolvingSkills" : "Problem-solving; Data analysis", "outcomesObjectives" : "Maximize recovery rates; Achieve collection targets", "qualificationsBasic" : "5 years of professional experience in collections, 5 years of professional experience in accounts receivable, 5 years of professional experience in related financial roles, Knowledge of collection techniques, Knowledge of collection strategies, Knowledge of collection best practices, Advanced proficiency in data analysis, Advanced proficiency in financial reporting, Proficiency with accounts receivable software, Proficiency with collection management systems, Proficiency with Microsoft Office Suite, Comprehensive understanding of collection laws, Comprehensive understanding of collection regulations, Comprehensive understanding of compliance requirements, Exceptional attention to detail, Exceptional organizational skills, Time management abilities, Demonstrated problem-solving skills, Ability to work independently", "qualificationsPreferred" : "Experience with CRM systems, Bilingual capabilities in Arabic, Bilingual capabilities in English, Leadership experience in collections, Supervisory experience in collections", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking a detail-oriented and results-driven Senior Collection Specialist to join our team in Riyadh, Saudi Arabia. In this role, you will take ownership of our accounts receivable portfolio, developing and executing effective collection strategies to maximize recovery rates while maintaining professional client relationships. You will analyze financial data, manage complex collection cases, and ensure compliance with all applicable regulations. The ideal candidate will demonstrate strong analytical abilities, exceptional organizational skills, and a commitment to achieving collection targets through persistent and professional engagement. * Manage and oversee the collection of outstanding accounts receivable, ensuring timely recovery of funds * Develop, implement, and refine collection strategies to improve recovery rates and minimize bad debt * Communicate professionally with clients regarding payment obligations, payment terms, and collection actions * Analyze aging reports, payment patterns, and account data to identify trends and opportunities for improvement * Negotiate payment arrangements, settlements, and alternative payment solutions with clients * Maintain accurate and organized records of all collection activities, communications, and outcomes * Monitor and report on collection metrics, key performance indicators (KPIs), and departmental performance * Escalate complex or high-value collection cases to management when necessary * Ensure all collection activities comply with relevant laws, regulations, and company policies * Prepare detailed collection reports and provide recommendations for process improvements * Collaborate with other departments to resolve billing disputes and account discrepancies ## Qualifications * Minimum 5 years of professional experience in collections, accounts receivable, or related financial roles * Proven track record of successfully managing and collecting outstanding accounts * Strong knowledge of collection techniques, strategies, and best practices * Excellent communication and negotiation skills with the ability to handle difficult conversations professionally * Advanced proficiency in data analysis and financial reporting * Proficiency with accounts receivable software, collection management systems, and Microsoft Office Suite * Comprehensive understanding of collection laws, regulations, and compliance requirements * Exceptional attention to detail and organizational skills * Strong time management abilities with capacity to manage multiple accounts simultaneously * Demonstrated problem-solving skills and ability to work independently * Preferred: Experience with customer relationship management (CRM) systems * Preferred: Bilingual capabilities in Arabic and English * Preferred: Leadership or supervisory experience in a collections environment", "summaryDescription" : "Senior Collection Specialist at IFS. Skills: Accounts receivable, Collections, Client relationships. Manage collection of outstanding accounts receivable. Oversee collection of outstanding accounts receivable", "postedDate" : "2026-06-15T12:35:01.000", "createdAt" : "2026-06-16T03:32:26.895", "lastUpdated" : "2026-06-16T13:14:24.482", "ingestTimestamp" : "2026-06-16T03:32:26.895", "mongoId" : "6a308d16f292fd229c09ef88", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Collection techniques", "Collection strategies", "Collection best practices", "Accounts receivable management", "Financial data analysis", "Accounts receivable", "Collections", "Client relationships", "Data analysis", "Financial reporting", "Organizational skills", "Problem-solving", "Collection laws", "Collection regulations", "Accounts receivable software", "Collection management systems", "Microsoft Office Suite", "CRM systems" ], "skillCount" : 18, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30685df292fd229cfc3aa5", "title" : "Senior Collection Specialist", "company" : "IFS", "industry" : "Information Technology And Services", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "SAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Collection Specialist in Riyadh, Saudi Arabia, adjusted for the financial services industry and senior experience level." }, "location" : "Riyadh, Riyadh Region, SA", "locations" : [ "Riyadh", "Riyadh Region", "SA" ], "timestamp" : "2026-06-16T09:02:24.118", "fingerprint" : "d575d45b45275432ff775d9a14c7277758584711f0bdb8afcf1a031a6b2dde89", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/IFS1/744000132191059-senior-collection-specialist", "externalId" : "744000132191059", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Riyadh", "state" : "Riyadh Region", "country" : "Saudi Arabia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "24.6389160,46.7160104" } ], "locationText" : "Riyadh, Riyadh Region, Saudi Arabia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Microsoft Office Suite", "professionalSkills" : [ "Data analysis", "Financial reporting", "Organizational skills", "Problem-solving" ], "hardSkillsList" : [ "Collection techniques", "Collection strategies", "Collection best practices", "Accounts receivable management", "Financial data analysis" ], "hardSkills" : [ { "name" : "Collection techniques", "level" : "intermediate" }, { "name" : "Collection strategies", "level" : "intermediate" }, { "name" : "Collection best practices", "level" : "intermediate" }, { "name" : "Accounts receivable management", "level" : "intermediate" }, { "name" : "Financial data analysis", "level" : "intermediate" } ], "majorSkills" : "Accounts receivable, Collections, Client relationships, Financial data analysis", "majorSkillsList" : [ "Accounts receivable", "Collections", "Client relationships", "Financial data analysis" ], "coreResponsibilities" : "Manage outstanding accounts receivable, Oversee collection of outstanding accounts, Ensure timely recovery of funds, Develop collection strategies, Implement collection strategies, Refine collection strategies, Improve recovery rates, Minimize bad debt, Communicate professionally with clients, Analyze aging reports, Analyze payment patterns, Analyze account data, Identify trends, Identify opportunities for improvement, Negotiate payment arrangements, Negotiate settlements, Negotiate alternative payment solutions, Maintain accurate records, Maintain organized records, Monitor collection metrics, Monitor key performance indicators, Monitor departmental performance, Report on collection metrics, Report on key performance indicators, Report on departmental performance, Escalate collection cases to management, Ensure collection activities comply with laws, Ensure collection activities comply with regulations, Ensure collection activities comply with company policies, Prepare collection reports, Provide recommendations for process improvements, Collaborate with other departments, Resolve billing disputes, Resolve account discrepancies", "teamCollaboration" : "Collaborate with other departments", "domainKnowledge" : "Collection laws; Collection regulations; Compliance requirements", "domainList" : [ "collection-laws", "collection-regulations", "compliance-requirements" ], "domainSpecificKnowledge" : [ "Collection laws", "Collection regulations", "Compliance requirements" ], "toolProficiency" : [ "Accounts receivable software", "Collection management systems", "Microsoft Office Suite", "CRM systems" ], "communicationSkills" : "Client communication; Negotiation", "documentationSkills" : "Record keeping", "problemSolvingSkills" : "Problem-solving", "outcomesObjectives" : "Maximize recovery rates; Achieve collection targets", "qualificationsBasic" : "5 years of professional experience in collections, 5 years of professional experience in accounts receivable, 5 years of professional experience in related financial roles, Knowledge of collection techniques, Knowledge of collection strategies, Knowledge of collection best practices, Advanced proficiency in data analysis, Advanced proficiency in financial reporting, Proficiency with accounts receivable software, Proficiency with collection management systems, Proficiency with Microsoft Office Suite, Comprehensive understanding of collection laws, Comprehensive understanding of collection regulations, Comprehensive understanding of compliance requirements, Exceptional attention to detail, Exceptional organizational skills, Time management abilities, Demonstrated problem-solving skills, Ability to work independently", "qualificationsPreferred" : "Experience with CRM systems, Bilingual capabilities in Arabic, Bilingual capabilities in English, Leadership experience in collections, Supervisory experience in collections", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking a detail-oriented and results-driven Senior Collection Specialist to join our team in Riyadh, Saudi Arabia. In this role, you will take ownership of our accounts receivable portfolio, developing and executing effective collection strategies to maximize recovery rates while maintaining professional client relationships. You will analyze financial data, manage complex collection cases, and ensure compliance with all applicable regulations. The ideal candidate will demonstrate strong analytical abilities, exceptional organizational skills, and a commitment to achieving collection targets through persistent and professional engagement. * Manage and oversee the collection of outstanding accounts receivable, ensuring timely recovery of funds * Develop, implement, and refine collection strategies to improve recovery rates and minimize bad debt * Communicate professionally with clients regarding payment obligations, payment terms, and collection actions * Analyze aging reports, payment patterns, and account data to identify trends and opportunities for improvement * Negotiate payment arrangements, settlements, and alternative payment solutions with clients * Maintain accurate and organized records of all collection activities, communications, and outcomes * Monitor and report on collection metrics, key performance indicators (KPIs), and departmental performance * Escalate complex or high-value collection cases to management when necessary * Ensure all collection activities comply with relevant laws, regulations, and company policies * Prepare detailed collection reports and provide recommendations for process improvements * Collaborate with other departments to resolve billing disputes and account discrepancies ## Qualifications * Minimum 5 years of professional experience in collections, accounts receivable, or related financial roles * Proven track record of successfully managing and collecting outstanding accounts * Strong knowledge of collection techniques, strategies, and best practices * Excellent communication and negotiation skills with the ability to handle difficult conversations professionally * Advanced proficiency in data analysis and financial reporting * Proficiency with accounts receivable software, collection management systems, and Microsoft Office Suite * Comprehensive understanding of collection laws, regulations, and compliance requirements * Exceptional attention to detail and organizational skills * Strong time management abilities with capacity to manage multiple accounts simultaneously * Demonstrated problem-solving skills and ability to work independently * Preferred: Experience with customer relationship management (CRM) systems * Preferred: Bilingual capabilities in Arabic and English * Preferred: Leadership or supervisory experience in a collections environment", "summaryDescription" : "Senior Collection Specialist at IFS. Skills: Accounts receivable, Collections, Client relationships, Financial data analysis. Manage outstanding accounts receivable. Oversee collection of outstanding accounts", "postedDate" : "2026-06-15T12:35:01.000", "createdAt" : "2026-06-16T00:17:41.855", "lastUpdated" : "2026-06-16T09:02:24.118", "ingestTimestamp" : "2026-06-16T00:17:41.855", "mongoId" : "6a30685df292fd229cfc3aa5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Collection techniques", "Collection strategies", "Collection best practices", "Accounts receivable management", "Financial data analysis", "Accounts receivable", "Collections", "Client relationships", "Data analysis", "Financial reporting", "Organizational skills", "Problem-solving", "Collection laws", "Collection regulations", "Compliance requirements", "Accounts receivable software", "Collection management systems", "Microsoft Office Suite", "CRM systems" ], "skillCount" : 19, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "69e104402beec4dd3def26b0", "title" : "Quantum Hardware Engineer", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Hardware Development, Cloud Computing", "salary" : { "min" : 60000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Pasadena, California, USA", "locations" : [ "Pasadena, California, USA" ], "timestamp" : "2026-06-15T05:39:17.873", "fingerprint" : "4f2d4c36bf01c59d24e52866b26fb65b6e51414489f88d55e78d86697478af79", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10386852/apply", "externalId" : "b218c171-7447-4fd8-bd6f-dac52143e28d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pasadena", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1476507,-118.1441550" } ], "locationText" : "Pasadena, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, R", "professionalSkills" : [ "Engineering principles", "Resourcefulness", "Bias for action", "Problem-solving abilities", "Analytical skills" ], "hardSkillsList" : [ "Scripting skills", "Experimental techniques", "Instrumentation" ], "hardSkills" : [ { "name" : "Scripting skills", "level" : "intermediate" }, { "name" : "Experimental techniques", "level" : "intermediate" }, { "name" : "Instrumentation", "level" : "intermediate" } ], "majorSkills" : "Quantum computing, Hardware development, Experimental physics", "majorSkillsList" : [ "Quantum computing", "Hardware development", "Experimental physics" ], "coreResponsibilities" : "Coordinate with cross-functional stakeholders, Execute scientific measurements, Produce clear documentation, Streamline system integration, Optimize throughput, Maintain assigned instruments, Build automated measurement sequences, Run automated measurement sequences, Debug automated measurement sequences", "teamCollaboration" : "Multi-disciplinary team; Cross-functional stakeholders", "domainKnowledge" : "Quantum computing", "domainList" : [ "quantum-computing" ], "domainSpecificKnowledge" : [ "Quantum computing" ], "toolProficiency" : [ "Oscilloscope", "Frequency analyzer" ], "communicationSkills" : "Communication skills", "documentationSkills" : "Documentation", "problemSolvingSkills" : "Problem-solving abilities; Analytical skills", "qualificationsBasic" : "Bachelor's degree in mechanical engineering, electrical engineering, material science, physics or equivalent, Knowledge of a scripting language, Experience with analytical skills, Experience with attention to detail, Experience with effective communication abilities, Knowledge of tools and measurement devices", "qualificationsPreferred" : "Experience working in a fast-paced, team environment, Experience working with cryogenic systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon's Center for Quantum Computing in Pasadena, CA, is looking to hire a Hardware Development Engineer. You will join a multi-disciplinary team of experimental and theoretical physicists, materials scientists, and hardware and software engineers working at the forefront of quantum computing. We are looking for candidates who exemplify strong engineering principles, resourcefulness, a bias for action, exceptional problem-solving abilities, and really good communication skills. Working effectively within a team environment is essential. A robust background in physics or engineering is required. Effective day-to-day scripting skills are also critical for this role. Practical laboratory experience and a comprehensive grasp of experimental techniques and instrumentation are also necessary. 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. Key job responsibilities A successful candidate will play a key role in our accelerated learning initiatives, requiring adept coordination with cross-functional stakeholders, meticulous execution of scientific measurements under established test standards, the production of clear and accurate documentation, streamlining of system integration, throughput optimization, and autonomous maintenance of assigned instruments. An ability to build, run, and debug automated measurement sequences is a key responsibility of this role. Basic Qualifications: - Bachelor's degree in mechanical engineering, electrical engineering, material science, physics or equivalent - Knowledge of a scripting language (Python, R, etc.) - Experience that includes strong analytical skills, attention to detail, and effective communication abilities - Knowledge of tools and measurement devices (oscilloscope, frequency analyzer, or equivalent) Preferred Qualifications: - Experience working in a fast-paced, team environment - Experience working with cryogenic systems 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, Pasadena - 122,600.00 - 160,000.00 USD annually", "summaryDescription" : "Quantum Hardware Engineer at Amazon Development Center U.S., Inc.. Skills: Quantum computing, Hardware development, Experimental physics. Coordinate with cross-functional stakeholders. Execute scientific measurements", "postedDate" : "2026-06-13T17:24:26.155", "createdAt" : "2026-06-13T17:24:26.155", "lastUpdated" : "2026-06-15T05:39:17.873", "ingestTimestamp" : "2026-06-13T17:24:26.155", "mongoId" : "69e104402beec4dd3def26b0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10386852/apply", "salaryAnnualMin" : 60000, "salaryAnnualMax" : 160000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Scripting skills", "Experimental techniques", "Instrumentation", "Quantum computing", "Hardware development", "Experimental physics", "Engineering principles", "Resourcefulness", "Bias for action", "Problem-solving abilities", "Analytical skills", "Oscilloscope", "Frequency analyzer" ], "skillCount" : 13, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a491774d8ee00a05e3947", "title" : "Senior Manager, AI Perception and Skills", "company" : "Agility Robotics", "industry" : "Robotics", "salary" : { "min" : 210000.0, "max" : 320000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Manager in Robotics in Salem, United States, adjusted for seniority and company size." }, "location" : "Remote, Oregon, United States", "locations" : [ "Remote", "Oregon", "United States" ], "timestamp" : "2026-06-14T21:30:30.590", "fingerprint" : "0ac9f4fd7f24ac91b0934b5b036f40a899db31252e2dc7d390f7a5cc42e271a6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.agilityrobotics.com/about/job-post?gh_jid=6007718004", "externalId" : "6007718004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Salem", "state" : "Oregon", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "44.9391565,-123.0331210" }, { "city" : "Pittsburgh", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.4406968,-80.0025666" }, { "city" : "Fremont", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.5482697,-121.9885710" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Salem, Oregon, United States; Pittsburgh, Pennsylvania, United States; Fremont, California, United States; United States", "minimumEducation" : "Master's", "experienceMinYears" : 8, "experienceLevel" : "Manager", "technicalSkills" : "AI/ML, Computer vision, Learning-from-demonstration, Imitation learning, Behavior cloning, Inference optimization, Foundation models, Vision-language models, Diffusion policy", "professionalSkills" : [ "Roadmap ownership", "Talent championing", "Organizational development", "Performance cycles", "Development plans" ], "hardSkillsList" : [ "Object detection", "Scene understanding", "Robot data collection", "Remote operation" ], "softSkillsList" : [ "Ownership", "Experimentation", "Fast iteration", "Leadership", "Mentorship" ], "hardSkills" : [ { "name" : "Object detection", "level" : "intermediate" }, { "name" : "Scene understanding", "level" : "intermediate" }, { "name" : "Robot data collection", "level" : "intermediate" }, { "name" : "Remote operation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership" }, { "name" : "Experimentation" }, { "name" : "Fast iteration" }, { "name" : "Leadership" }, { "name" : "Mentorship" } ], "majorSkills" : "AI Perception, AI Skills, Computer vision, Learning-from-demonstration", "majorSkillsList" : [ "AI Perception", "AI Skills", "Computer vision", "Learning-from-demonstration" ], "coreResponsibilities" : "Lead end-to-end delivery of AI Perception and Skills, Own the roadmap and success of both teams, Set clear goals for teams, Hold teams accountable for quality, Hold teams accountable for reliability, Hold teams accountable for pace, Accelerate data flywheel strategy, Expand robot performance at scale, Expand robot reliability at scale, Champion team's talent, Represent team's needs to senior leadership, Foster an inclusive environment, Drive performance cycles, Build individualized development plans, Lead hiring to grow both teams", "teamCollaboration" : "Work alongside teams; Cross-functional teams; Senior leadership", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Humanoid robots; Perception systems; Skills learning; Real-time AI; Robotics; Autonomous vehicles; Edge hardware; Fleet learning; Teleoperation systems; Legged robot platforms", "domainList" : [ "humanoid-robots", "perception-systems", "skills-learning", "real-time-ai", "robotics", "autonomous-vehicles", "edge-hardware", "fleet-learning", "teleoperation-systems", "legged-robot-platforms" ], "domainSpecificKnowledge" : [ "Humanoid robots", "Perception systems", "Skills learning", "Real-time AI", "Robotics", "Autonomous vehicles", "Edge hardware", "Fleet learning", "Teleoperation systems", "Legged robot platforms" ], "continuousLearning" : "Professional development; Tuition reimbursement", "innovationCreativity" : "Rigorous experimentation; Fast iteration", "problemSolvingSkills" : "Learning from failure", "specialRequirements" : "Up to one week travel per month", "outcomesObjectives" : "Deliver critical capabilities to production robots; Deliver production impact within one-year horizon", "qualificationsBasic" : "Advanced degree in Computer Science, Robotics, Electrical Engineering, or related field, 8+ years of experience in AI/ML, 3+ years managing engineering or research teams, Demonstrated experience shipping real-time AI systems in robotics, autonomous vehicles, or other mission-critical domains, Deep technical expertise in computer vision, Deep technical expertise in learning-from-demonstration, Experience deploying models on resource-constrained edge hardware, Practical knowledge of inference optimization, Practical knowledge of power constraints, Practical knowledge of thermal constraints, Proven ability to build and scale high-performing teams, Proven ability in hiring, Proven ability in mentorship, Proven ability in organizational development, Current authorization to work in the United States", "qualificationsPreferred" : "Experience with teleoperation systems, Experience with humanoid or legged robot platforms, Experience fine-tuning foundation models, Experience adapting foundation models", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential. About The Role The Senior Manager of AI Perception & Skills will be a key technical leader at Agility Robotics, owning the development of AI-driven perception and skills capabilities for our humanoid robots. You will lead two complementary teams — AI Perception, focused on real-time object detection and scene understanding, and AI Skills, focused on learning from demonstration — driving research and engineering that deliver critical capabilities to production robots. You will build a culture of rigorous experimentation, fast iteration, and extreme ownership. Your focus is applied research and engineering that delivers production impact within a one-year horizon. This role can be hybrid (3 days on-site per week at one of our offices in Salem, OR, in Pittsburgh, PA or in Fremont, CA) or fully remote, with up to one week of travel per month. About The Work Lead end-to-end delivery of AI Perception and Skills capabilities, from research conception through production deployment on robot hardware. Own the roadmap and success of both teams, setting clear goals and holding yourself and the team accountable for quality, reliability, and pace. Accelerate our data flywheel strategy — combining teleoperation, synthetic data, and fleet learning — to systematically expand robot performance and reliability at scale. Champion your team's talent, represent their needs to senior leadership, and foster an inclusive environment where engineers feel safe to experiment and learn from failure. Drive performance cycles, build individualized development plans, and lead hiring to grow both teams with high-caliber researchers and engineers. Required Qualifications Advanced degree (M. S. or Ph.D.) in Computer Science, Robotics, Electrical Engineering, or a related field. 8+ years of experience in AI/ML, with 3+ years managing engineering or research teams. Demonstrated experience shipping real-time AI systems in robotics, autonomous vehicles, or other mission-critical domains. Deep technical expertise in computer vision and learning-from-demonstration (e.g., imitation learning, behavior cloning). Experience deploying models on resource-constrained edge hardware, with practical knowledge of inference optimization, power, and thermal constraints. Proven ability to build and scale high-performing teams, including hiring, mentorship, and organizational development. Preferred Qualifications Experience with teleoperation systems for robot data collection or remote operation Experience with humanoid or legged robot platforms in research or production settings Experience fine-tuning or adapting foundation models (vision-language, diffusion policy, etc.) for robotics applications The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future. Anticipated Base Salary Range $222,000—$347,000 USD In addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now: https://grnh.se/b444bbd04us", "summaryDescription" : "Senior Manager, AI Perception and Skills at Agility Robotics. Skills: AI Perception, AI Skills, Computer vision, Learning-from-demonstration. Lead end-to-end delivery of AI Perception and Skills. Own the roadmap and success of both teams", "postedDate" : "2026-06-11T21:20:03.463", "createdAt" : "2026-06-11T21:20:03.463", "lastUpdated" : "2026-06-14T21:30:30.590", "ingestTimestamp" : "2026-06-11T21:20:03.463", "mongoId" : "6a2a491774d8ee00a05e3947", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 210000, "salaryAnnualMax" : 320000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Object detection", "Scene understanding", "Robot data collection", "Remote operation", "Ownership", "Experimentation", "Fast iteration", "Leadership", "Mentorship", "AI Perception", "AI Skills", "Computer vision", "Learning-from-demonstration", "Roadmap ownership", "Talent championing", "Organizational development", "Performance cycles", "Development plans", "Roadmap planning", "Humanoid robots", "Perception systems", "Skills learning", "Real-time AI", "Robotics", "Autonomous vehicles", "Edge hardware", "Fleet learning", "Teleoperation systems", "Legged robot platforms" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software-engineering", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Robotics" }, { "id" : "6a2a992574d8ee00a069cdbe", "title" : "Billing and collection Professional", "company" : "Baker Hughes", "industry" : "Oilfield Services", "salary" : { "min" : 1850000.0, "max" : 3150000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Oil & Gas industry in Navi Mumbai, India, adjusted for company size and seniority." }, "location" : "IN-NAVI MUMBAI-TTC INDUSTRIAL AREA, AIROLI MAHARASHTRA", "locations" : [ "IN-NAVI MUMBAI-TTC INDUSTRIAL AREA, AIROLI MAHARASHTRA", "India" ], "timestamp" : "2026-06-14T20:59:25.728", "fingerprint" : "fa710edda51084e137cd9014194172c5179ee8ff08619bdd6df31aff2339af3f", "source" : "workday", "language" : "en", "applyUrl" : "https://bakerhughes.wd5.myworkdayjobs.com/BakerHughes/job/IN-NAVI-MUMBAI-TTC-INDUSTRIAL-AREA-AIROLI-MAHARASHTRA/Support-Services-Professional---Admin-Support_R161895", "externalId" : "R161895", "industryFunction" : { }, "locationPoint" : "19.03681,73.01582", "structuredLocations" : [ { "city" : "Navi Mumbai", "state" : "Maharashtra", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "19.0308262,73.0198537" } ], "locationText" : "Navi Mumbai, Maharashtra, India", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Financial analysis", "Accounting principles" ], "hardSkillsList" : [ "Billing processes", "Collections processes" ], "softSkillsList" : [ "Leadership", "Mentorship" ], "hardSkills" : [ { "name" : "Billing processes", "level" : "intermediate" }, { "name" : "Collections processes", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentorship" } ], "majorSkills" : "Billing, Collections, Team leadership", "majorSkillsList" : [ "Billing", "Collections", "Team leadership" ], "coreResponsibilities" : "Oversee billing process, Ensure invoice accuracy, Ensure invoice compliance, Ensure timely invoice submission, Develop billing procedures, Maintain billing systems, Maintain billing controls, Improve billing efficiency, Improve billing accuracy, Provide guidance to team, Provide mentorship to team, Provide direction to team, Coordinate with other departments, Gather information for invoicing, Resolve billing discrepancies, Handle escalated billing inquiries, Handle escalated billing issues, Set performance expectations, Conduct performance evaluations, Provide feedback to team, Foster positive work environment, Foster collaborative work environment, Encourage teamwork, Encourage professional growth, Establish collections strategies, Establish collections policies, Maximize collections efficiency, Minimize outstanding balances, Monitor aging accounts receivable, Address delinquent accounts, Collaborate with customers, Collaborate with sales teams, Collaborate with stakeholders, Resolve payment disputes, Negotiate payment arrangements, Maintain records of collection activities, Communicate collection status, Provide regular reports, Analyze billing data, Analyze collections data, Identify trends, Generate reports, Assess financial health, Prepare financial reports, Present financial reports, Reconcile billing records, Reconcile collections records, Ensure accurate financial reporting, Evaluate billing processes, Evaluate collections processes, Identify areas for improvement, Implement streamlined procedures, Leverage automation tools, Leverage software systems, Enhance billing efficiency, Enhance billing accuracy, Enhance billing scalability, Enhance collections efficiency, Enhance collections accuracy, Enhance collections scalability, Stay updated on industry best practices, Stay updated on technological advancements, Stay updated on regulatory changes, Optimize operations", "teamCollaboration" : "Collaborate with customers; Collaborate with sales teams; Collaborate with stakeholders; Collaborate with finance teams; Collaborate with accounting teams", "domainKnowledge" : "Accounting principles", "domainList" : [ "accounting-principles" ], "domainSpecificKnowledge" : [ "Accounting principles" ], "toolProficiency" : [ "Microsoft Office Suite" ], "communicationSkills" : "Effective communication", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "Bachelor studies, 5+ years Billing & Collections/Finance, 3+ years supervisory role, Proficient in billing software, Proficient in accounting systems, Proficient in Microsoft Office Suite", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Billing & Collections Professional** **Would you like to help shape Baker Hughes’ strategic direction?** **Do you like to develop business plans for the business unit as a whole?** **Join our Baker Hughes Team!** Baker Hughes is a leader in the oilfield services industry. We offer opportunities for qualified people who want to grow in our high-performance organization. **Partner with the best** You will play a vital role in overseeing the financial operations of the organization, covering India and Bangladesh. Your expertise in financial management, team leadership, and problem-solving will contribute to the overall success of the organization. As a Billing & Collections Supervisor, you will be responsible for: * Overseeing the billing process, ensuring accuracy, compliance with policies, and timely submission of invoices to clients or customers. * Developing and maintaining billing procedures, systems, and controls to improve efficiency and accuracy. * Providing guidance, mentorship, and direction to a team of billing and collections professionals. * Coordinating with other departments, such as sales and operations, to gather necessary information for invoicing purposes. Resolving billing discrepancies and handle escalated billing inquiries or issues. * Setting performance expectations, conduct regular performance evaluations, and provide feedback to team members. Fostering a positive and collaborative work environment that encourages teamwork and professional growth. * Establishing collections strategies and policies to maximize collections efficiency and minimize outstanding balances. * Monitoring aging accounts receivable and proactively address delinquent accounts through various collection techniques. * Collaborating with customers, sales teams, and other stakeholders to resolve payment disputes and negotiate payment arrangements. * Maintaining accurate records of collection activities, communicate collection status to management, and providing regular reports. * Analyzing billing and collections data, identifying trends, and generating reports to assess the financial health of the organization. * Preparing and presenting financial reports, including aging reports, collection of performance metrics, and key performance indicators (KPIs) to management. * Collaborating with finance and accounting teams to reconcile billing and collections records and ensure accurate financial reporting. * Evaluating billing and collections processes, identify areas for improvement, and implement streamlined procedures. * Leveraging automation tools or software systems to enhance efficiency, accuracy, and scalability of billing and collections processes. * Staying updated on industry best practices, technological advancements, and regulatory changes to optimize operations. **Fuel your passion** To be successful in this role you will: * Have completed Bachelor studies from an accredited university or college * Have at least 5 years of experience in a Billing & Collections/Finance role with 3 years in a supervisory role within Finance/Billing & Collections * Demonstrate effective communication, interpersonal and leadership skills with the ability to influence team, customers and others * Possess knowledge of billing and collections processes, financial analysis, and accounting principles. * Be proficient in using billing software, accounting systems, and Microsoft Office Suite. **Work in a way that works for you** We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: * Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive **Working with us** Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other. **Working for you** Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect: * Contemporary work-life balance policies and wellbeing activities * Comprehensive private medical care options * Safety net of life insurance and disability programs * Tailored financial programs * Additional elected or voluntary benefits The Baker Hughes internal title for this role is: Support Services Experienced Professional - Admin Support", "summaryDescription" : "Billing and collection Professional at Baker Hughes. Skills: Billing, Collections, Team leadership. Oversee billing process. Ensure invoice accuracy", "postedDate" : "2026-06-10T20:51:53.098", "createdAt" : "2026-06-11T20:51:52.902", "lastUpdated" : "2026-06-14T20:59:25.728", "ingestTimestamp" : "2026-06-11T20:51:52.902", "mongoId" : "6a2a992574d8ee00a069cdbe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://bakerhughes.wd5.myworkdayjobs.com/BakerHughes/job/IN-NAVI-MUMBAI-TTC-INDUSTRIAL-AREA-AIROLI-MAHARASHTRA/Support-Services-Professional---Admin-Support_R161895", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Billing processes", "Collections processes", "Leadership", "Mentorship", "Billing", "Collections", "Team leadership", "Financial analysis", "Accounting principles", "Microsoft Office Suite" ], "skillCount" : 10, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Oilfield Services" } ], "status" : 200, "message" : "quantum sensing technology skills for data collection and analysis jobs", "metadata" : { "title" : "quantum sensing technology skills for data collection and analysis" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 43639, "totalPages" : 873, "hasNext" : true, "hasPrevious" : false } }

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