{ "count" : 43319, "data" : [ { "id" : "6a2c6b0874d8ee00a090fd64", "title" : "Electrical Engineer- Warranty and Quality", "company" : "LG Magna e-Powertrain USA, Inc.", "industry" : "Manufacturing", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Electrical Engineer in Troy, United States, adjusted for mid-seniority and the automotive industry." }, "location" : "Troy, MI", "locations" : [ "Troy", "MI" ], "timestamp" : "2026-06-15T10:01:42.937", "fingerprint" : "8006468bdaa2b9f5c6c6a7f3c3816ebd8f52d18063eb1750f2e9f7b6dafa118a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lgelectronics/jobs/5253699008", "externalId" : "5253699008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Troy", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.6055893,-83.1499304" } ], "locationText" : "Troy, Michigan, United States", "technicalSkills" : "Electrical Engineering, Electronics Engineering, Mechatronics Engineering, Test Engineering, Quality Engineering, Process improvement, Quality system, APQP, PPAP, FMEA, SPC, PCBA", "professionalSkills" : [ "Problem solving", "Analytics", "Organizational skills", "Stakeholder management", "Risk identification", "Escalation" ], "hardSkillsList" : [ "Root Cause Analysis", "Process improvement", "Quality engineering methodologies", "Quality system", "APQP", "PPAP", "FMEA", "SPC" ], "hardSkills" : [ { "name" : "Root Cause Analysis", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Quality engineering methodologies", "level" : "intermediate" }, { "name" : "Quality system", "level" : "intermediate" }, { "name" : "APQP", "level" : "intermediate" }, { "name" : "PPAP", "level" : "intermediate" }, { "name" : "FMEA", "level" : "intermediate" }, { "name" : "SPC", "level" : "intermediate" } ], "majorSkills" : "Warranty analysis, Root cause analysis, Quality engineering, Electrical engineering", "majorSkillsList" : [ "Warranty analysis", "Root cause analysis", "Quality engineering", "Electrical engineering" ], "coreResponsibilities" : "Manage customer's warranty center operations, Ship/receive returned e-PT components, Analyze returned components, Investigate root causes, Troubleshoot defective parts, Repair defective parts, Refurbish defective parts, Validate with chamber/TAS, Test EOL equipment, Maintain test EOL equipment, Manage Charger/Discharger, Manage Leak Tester, Oversee quality issues for e-PT components, Provide field support, Act as Plant Liaison, Manage RMA process, Analyze warranty claims, Determine root cause of product returns, Perform tear down analysis, Perform failure analysis, Conduct SWAP testing with sub-suppliers, Trace issues with sub-suppliers, Lead APQP activities, Coordinate PPAP documentation, Lead response to emerging quality issues, Track containment activities, Perform containment activities, Communicate quality concerns with customer, Communicate quality concerns with internal teams, Lead PRR investigations, Identify potential root cause of failed parts, Prepare technical reports, Collect data for reports, Analyze data for reports, Summarize data for reports, Provide recommendations in reports, Report quality status internally, Report quality status to customer, Use PRTS for reporting, Use 5 Phase for reporting, Use GQTS for reporting, Use 8D methodologies for reporting", "teamCollaboration" : "Internal teams; Overseas teams; Customer communication", "projectManagementSkills" : [ "APQP", "PPAP", "8D methodologies" ], "domainKnowledge" : "e-PT components; Inverter; Convertor; Motor; Electric vehicle industry; e-Mobility solution", "domainList" : [ "e-pt-components", "inverter", "convertor", "motor", "electric-vehicle-industry", "e-mobility-solution" ], "domainSpecificKnowledge" : [ "e-PT components", "Inverter", "Convertor", "Motor", "Electric vehicle industry", "e-Mobility solution" ], "toolProficiency" : [ "Chamber", "TAS", "EOL equipment", "Charger/Discharger", "Leak Tester", "PRTS", "5 Phase", "GQTS" ], "communicationSkills" : "Written communication; Verbal communication; Technical reports", "documentationSkills" : "PPAP documentation; Technical reports", "problemSolvingSkills" : "Root Cause Analysis; Troubleshooting; Problem solving; Analytics; Failure analysis", "specialRequirements" : "Authorized to work in US, No work visa sponsorship", "qualificationsBasic" : "Bachelor's degree in Electrical, Electronics or Mechatronics Engineering, Minimum of 5 years of Electrical/ Electronics Application or Test Engineering, Skill in Quality Engineering, Root Cause Analysis, Experience in process improvement and quality engineering methodologies, Knowledge of Quality system (TS16949), Knowledge of APQP, PPAP, FMEA, SPC, Understanding of electrical printed circuit board assembly (PCBA), Ability in problem solving and analytics, Expert written / verbal communication, Advanced organizational skills, Ability to effectively manage stakeholder relationships, Ability to identify risks and escalate appropriately, Ability to work under pressure to meet deadlines, Superior attention to detail, Ability to learn quickly, Willingness and flexibility to learn and adapt to company working culture and processes", "workSiteFlexibility" : "Onsite", "rawDescription" : "Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, \"Jeong-do Management,\" embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone. LG Magna e-Powertrain USA, Inc. is a newly established US subsidiary headquartered in South Korea, formed through a joint venture by LG Electronics Vehicle Solution and Magna International, created to bring new synergies based on LG’s electric vehicle component capabilities and Magna’s experience in the traditional automotive industry. Located in Southeast Michigan, LG Magna USA provides engineering, sales, and quality solutions for developing various electric vehicle products such as drive motors, power conversion devices, and related integrated systems. LG Magna USA, as part of the global LG Magna team, strives to become the global No.1 e-Mobility solution partner by providing the highest value technologies and products, securing profitable growth together with customers, and contributing to a sustainable society. Our team takes pride in driving progress by developing innovative solutions for electric vehicle industry customers. Powered by a culture of passion, teamwork, customer focus, initiative, and creativity, we are pushing the boundaries every day. With the philosophy that \"people are the source of corporate competitiveness,\" we are committed to actively seeking out top talent and investing in career growth and development to retain exceptional people. We invite people to join our mission to create innovative solutions leading the trend in creating an eco-friendly, clean future through the electric vehicle industry, to drive a better life. Applicants must be currently authorized to work in the United States on a full-time basis. The employer will not sponsor applicants for work visa. Overall Responsibilities: Our Electrical Engineer supporting our Quality Warranty team is a collaborative and highly impactful role that will be responsible as a direct contact person in the all the quality area for e-PT components (Inverter, Convertor and Motor) returned from the customer plant, including analyzing, repairing, and identifying root causes. Major Tasks Listed Below: Responsible to management of Customer’s warranty center operations: shipping/receiving returned e-PT components from Customer warehouse/ plants. analyzing, root investigation, troubleshooting, and repair/refurbishing the defective parts validation with chamber/TAS and test EOL equipment Maintain and manage test equipment; EOL, Charger/Discharger, Leak Tester, etc. Oversee all quality issues for e-PT components including field support, Plant Liaison and RMA process management. Analyzes all warranty claims to determine root cause of product returns. Perform tear down and failure analysis of returned product to determine root causes. Conduct SWAP testing with tracked removed parts with sub-suppliers to trace issues. Lead APQP activates and coordinates PPAP documentation (PFD, PCP, PFMEA) for customer approval. Lead the response to emerging quality issues by tracking and performing containment activities. communication effectively with customer and internal teams (locally and overseas) regarding quality concerns Lead Product Review Report (PRR) investigations to identify potential root cause of failed parts. Prepare technical reports by collecting, analyzing, and summarizing data with recommendations. Report quality status internally (locally and overseas) and to the customer, using PRTS, 5 Phase, GQTS, 8D methodologies. Required Qualifications: Bachelor’s degree in Electrical, Electronics or Mechatronics Engineering Minimum of 5 years of Electrical/ Electronics Application or Test Engineering Skill in Quality Engineering Root Cause Analysis Experience in process improvement and quality engineering methodologies Knowledge of Quality system (TS16949) and APQP, PPAP, FMEA, SPC, etc. Understanding of electrical printed circuit board assembly (PCBA) Ability to interpret and create electrical schematics. Ability to travel up to 10% to customers, warehouse required. Ability to use independent judgment and exercise discretion while performing job tasks. Ability to occasionally lift and manipulate (bending, twisting,) with physical dexterity parts up to 60 lbs. and to stand and/or stoop for extended periods of time. Preferred Qualifications: Technical Knowledge of automotive electronics Experienced in Electrical Vehicle components such (Inverter, Converter, Motor, etc.) Certified Quality Engineer (CQE) or Certified Reliability Engineer (CRE) Ability to read and understand programming languages such as C Languages, Visual Basic, and/or others. Knowledge of OEM quality related processes and requirements Ability to be self-driven and results-oriented with a keen sense of initiative to tackle complex tasks. Advanced skills in problem solving and analytics. Expert written / verbal communication. Advanced organizational skills and the ability to effectively manage stakeholder relationships. Ability to identify risks and escalate appropriately. Ability to work under pressure to meet deadlines. Superior attention to detail. Ability to learn quickly with the willingness and flexibility to learn and adapt to company working culture and processes. Applicants must be currently authorized to work in the United States on a full-time basis. The employer will not sponsor applicants for work visa. Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied.", "summaryDescription" : "Electrical Engineer- Warranty and Quality at LG Magna e-Powertrain USA, Inc.. Skills: Warranty analysis, Root cause analysis, Quality engineering, Electrical engineering. Manage customer's warranty center operations. Ship/receive returned e-PT components", "postedDate" : "2026-06-14T09:30:26.786", "createdAt" : "2026-06-14T09:30:26.786", "lastUpdated" : "2026-06-15T10:01:42.937", "ingestTimestamp" : "2026-06-14T09:30:26.786", "mongoId" : "6a2c6b0874d8ee00a090fd64", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Root Cause Analysis", "Process improvement", "Quality engineering methodologies", "Quality system", "APQP", "PPAP", "FMEA", "SPC", "Warranty analysis", "Root cause analysis", "Quality engineering", "Electrical engineering", "Problem solving", "Analytics", "Organizational skills", "Stakeholder management", "Risk identification", "Escalation", "8D methodologies", "e-PT components", "Inverter", "Convertor", "Motor", "Electric vehicle industry", "e-Mobility solution", "Chamber", "TAS", "EOL equipment", "Charger/Discharger", "Leak Tester", "PRTS", "5 Phase", "GQTS" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5df99bc74574cb6719ff", "title" : "Wage and Hour Claims Examiner", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 52000.0, "max" : 78000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Wage and Hour Claims Examiner in Austin, Texas, with 2+ years of experience in Government, adjusted for city tier and seniority." }, "location" : "826858", "locations" : [ "826858", "
Austin:101 E 15th St (320-4001) (320TX-4001)
101 E 15th St
Austin, 78778-0001

" ], "timestamp" : "2026-06-15T10:09:08.497", "fingerprint" : "b4c4d924883a7f800201aa2d40e6451fa04bee411c462c0a4e2a3069f61861a7", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34413", "externalId" : "34413", "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", "experienceMinYears" : 2, "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Wage record examination", "Wage record auditing", "Data entry", "Case documentation" ], "softSkillsList" : [ "Customer support", "Interviewing", "Communication skills", "Courteous", "Respectful", "Professional" ], "hardSkills" : [ { "name" : "Wage record examination", "level" : "intermediate" }, { "name" : "Wage record auditing", "level" : "intermediate" }, { "name" : "Data entry", "level" : "intermediate" }, { "name" : "Case documentation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer support" }, { "name" : "Interviewing" }, { "name" : "Communication skills" }, { "name" : "Courteous" }, { "name" : "Respectful" }, { "name" : "Professional" } ], "majorSkills" : "Information gathering, Record analysis", "majorSkillsList" : [ "Information gathering", "Record analysis" ], "coreResponsibilities" : "Gather and verify information, Review wage and hour claims, Determine claimant eligibility, Determine unemployment liability, Conduct research, Evaluate findings, Summarize findings, Examine wage records, Review wage records, Audit wage records, Research wage claim issues, Enter decisions, Record decisions, Document case information, Respond to inquiries, Provide customer support, Review investigative techniques, Recommend improvements, Perform multiple tasks, Adhere to work schedules, Adhere to deadlines, Perform heavy telephone contact, Treat customers with courtesy, Handle hostile customers, Participate in projects", "teamCollaboration" : "Respond to agency staff", "domainKnowledge" : "Wage regulations", "domainList" : [ "wage-regulations" ], "domainSpecificKnowledge" : [ "Wage regulations" ], "toolProficiency" : [ "Payday System" ], "communicationSkills" : "Oral inquiries; Written inquiries", "documentationSkills" : "Document case information", "continuousLearning" : "Training and development opportunities", "problemSolvingSkills" : "Analyze records; Generate conclusions", "specialRequirements" : "Must be Texas resident, Willing to relocate to Texas, Security sensitive position", "outcomesObjectives" : "Generate conclusions", "qualificationsBasic" : "Two years experience, Gathering information, Interviewing, Counseling, Instruction, Demonstration, Interpretation of policies, Unemployment insurance programs, Workforce development programs", "qualificationsPreferred" : "Recent Wage and Hour experience, Knowledge of wage regulations, Examiner experience, Ability to gather data, Bilingual; Spanish/English", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE: Texas Workforce Commission connects people with careers across the state. While we are based in Austin on the north lawn of the Texas State Capitol, we have offices statewide. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. This position is located at 101 E 15th St, Austin, Texas in the Division of Fraud Deterrence and Compliance Monitoring (FDCM). 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 Wage and Hour Claims Examiner I is someone who gathers and verifies information and evidence through interviews, reviewing, and analyzing records and logs. Uses proper methods to search for, collect, and maintain various types of data to support and generate conclusions. WHAT YOU WILL DO: The Wage and Hour Claims Examiner I (UI Claims Examiner I) performs routine (journey-level) wage and hour claims work. Work involves reviewing wage and hour claims for accuracy and completeness, determining claimant eligibility, and determining unemployment liability. Works under moderate supervision, with limited latitude for the use of initiative and independent judgment. YOU WILL BE TRUSTED TO: - Conduct research to determine if wages were properly made. - Evaluate and summarize findings. - Examine, review, and audit wage records. - Review and research wage claim issues as needed. - Use personal computer to data enter decisions, record decisions, and document case information to the Payday System. - Respond to oral and written inquiries from claimants, employers, and agency staff to provide customer support in a busy work environment. - Review investigative techniques and recommends improvements as appropriate. - Work quickly, performs multiple tasks, pays attention to detail, and adheres to work schedules and strict deadlines. - Work in a highly stressful environment. - Perform heavy telephone contact with public utilizing strong interviewing and communication skills. - Treat customers with courtesy and respect as well as handles hostile customers in a professional manner. - May participate in projects. - Perform other duties as assigned. YOU QUALIFY WITH: - Two years of full-time experience in the gathering of information, interviewing, counseling, or in the instruction, demonstration, and interpretation of policies in a public or private enterprise; in unemployment insurance work; or in workforce development issues and programs. -Relevant academic credits may be applied toward experience qualifications for this position. YOU ARE A GREAT FIT WITH: -Recent Wage and Hour experience and knowledge of wage regulations -Examiner experience -Ability to gather data/information -Bilingual; Spanish/English YOU GAIN: - A Family Friendly Certified Workplace. - Competitive salary: $3,320.33/month - 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_Employment.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" : "Wage and Hour Claims Examiner at Texas Workforce Commission. Skills: Information gathering, Record analysis. Gather and verify information. Review wage and hour claims", "createdAt" : "2026-06-14T07:16:47.809", "lastUpdated" : "2026-06-15T10:09:08.497", "ingestTimestamp" : "2026-06-14T07:16:47.809", "mongoId" : "69ce5df99bc74574cb6719ff", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Wage record examination", "Wage record auditing", "Data entry", "Case documentation", "Customer support", "Interviewing", "Communication skills", "Courteous", "Respectful", "Professional", "Information gathering", "Record analysis", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Wage regulations", "Payday System" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a16141b58b93c861e8d30eb", "title" : "Wage and Hour Claims Examiner", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-seniority Wage and Hour Claims Examiner in Austin, United States, adjusted for the government industry." }, "location" : "827045", "locations" : [ "827045", "
Austin:101 E 15th St (320-4001) (320TX-4001)
101 E 15th St
Austin, 78778-0001

" ], "timestamp" : "2026-06-15T09:49:53.522", "fingerprint" : "d63575487dfc1844bf6ead3428a81d40c3f34dce14e1f082285499837b5afce6", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34992", "externalId" : "34992", "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", "experienceMinYears" : 2, "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning" ], "hardSkillsList" : [ "Wage record examination", "Wage record auditing", "Data entry", "Interviewing skills", "Communication skills" ], "hardSkills" : [ { "name" : "Wage record examination", "level" : "intermediate" }, { "name" : "Wage record auditing", "level" : "intermediate" }, { "name" : "Data entry", "level" : "intermediate" }, { "name" : "Interviewing skills", "level" : "intermediate" }, { "name" : "Communication skills", "level" : "intermediate" } ], "majorSkills" : "Information gathering, Record analysis, Eligibility determination", "majorSkillsList" : [ "Information gathering", "Record analysis", "Eligibility determination" ], "coreResponsibilities" : "Gather and verify information, Review wage and hour claims, Determine claimant eligibility, Determine unemployment liability, Conduct research for wages, Evaluate and summarize findings, Examine wage records, Audit wage records, Review wage claim issues, Enter data into Payday System, Record decisions in Payday System, Document case information, Respond to inquiries, Provide customer support, Review investigative techniques, Recommend improvements, Perform multiple tasks, Adhere to work schedules, Adhere to strict deadlines, Perform heavy telephone contact, Treat customers with courtesy, Handle hostile customers, Participate in projects", "teamCollaboration" : "Respond to agency staff", "domainKnowledge" : "Wage and Hour regulations", "domainList" : [ "wage-and-hour-regulations" ], "domainSpecificKnowledge" : [ "Wage and Hour regulations" ], "toolProficiency" : [ "Payday System" ], "communicationSkills" : "Oral inquiries; Written inquiries", "documentationSkills" : "Document case information", "continuousLearning" : "Extensive training opportunities; Development opportunities", "problemSolvingSkills" : "Independent judgment", "specialRequirements" : "Must be Texas resident, Willing to relocate to Texas", "qualificationsBasic" : "Two years full-time experience, Gathering information, Interviewing, Counseling, Instruction, Demonstration, Interpretation of policies, Unemployment insurance programs, Workforce development programs", "qualificationsPreferred" : "Recent Wage and Hour experience, Knowledge of wage regulations, Examiner experience, Ability to gather data/information, Bilingual; Spanish/English", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE: Texas Workforce Commission connects people with careers across the state. While we are based in Austin on the north lawn of the Texas State Capitol, we have offices statewide. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. This position is located at 101 E 15th St, Austin, Texas in the Division of Fraud Deterrence and Compliance Monitoring (FDCM). 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 Wage and Hour Claims Examiner I is someone who gathers and verifies information and evidence through interviews, reviewing, and analyzing records and logs. Uses proper methods to search for, collect, and maintain various types of data to support and generate conclusions. WHAT YOU WILL DO: The Wage and Hour Claims Examiner I (UI Claims Examiner I) performs routine (journey-level) wage and hour claims work. Work involves reviewing wage and hour claims for accuracy and completeness, determining claimant eligibility, and determining unemployment liability. Works under moderate supervision, with limited latitude for the use of initiative and independent judgment. YOU WILL BE TRUSTED TO: - Conduct research to determine if wages were properly made. - Evaluate and summarize findings. - Examine, review, and audit wage records. - Review and research wage claim issues as needed. - Use personal computer to data enter decisions, record decisions, and document case information to the Payday System. - Respond to oral and written inquiries from claimants, employers, and agency staff to provide customer support in a busy work environment. - Review investigative techniques and recommends improvements as appropriate. - Work quickly, performs multiple tasks, pays attention to detail, and adheres to work schedules and strict deadlines. - Work in a highly stressful environment. - Perform heavy telephone contact with public utilizing strong interviewing and communication skills. - Treat customers with courtesy and respect as well as handles hostile customers in a professional manner. - May participate in projects. - Perform other duties as assigned. YOU QUALIFY WITH: - Two years of full-time experience in the gathering of information, interviewing, counseling, or in the instruction, demonstration, and interpretation of policies in a public or private enterprise; in unemployment insurance work; or in workforce development issues and programs. -Relevant academic credits may be applied toward experience qualifications for this position. YOU ARE A GREAT FIT WITH: -Recent Wage and Hour experience and knowledge of wage regulations -Examiner experience -Ability to gather data/information -Bilingual; Spanish/English YOU GAIN: - A Family Friendly Certified Workplace. - Competitive salary: $3,320.33/month - 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_Employment.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" : "Wage and Hour Claims Examiner at Texas Workforce Commission. Skills: Information gathering, Record analysis, Eligibility determination. Gather and verify information. Review wage and hour claims", "createdAt" : "2026-06-14T06:13:42.536", "lastUpdated" : "2026-06-15T09:49:53.522", "ingestTimestamp" : "2026-06-14T06:13:42.536", "mongoId" : "6a16141b58b93c861e8d30eb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Wage record examination", "Wage record auditing", "Data entry", "Interviewing skills", "Communication skills", "Information gathering", "Record analysis", "Eligibility determination", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Wage and Hour regulations", "Payday System" ], "skillCount" : 15, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb03f74d8ee00a09d965f", "title" : "Claims Data Analyst", "company" : "ClaimSorted", "industry" : "Engineering", "salary" : { "min" : 40000.0, "max" : 65000.0, "currency" : "GBP", "frequency" : "Yearly" }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-16T01:46:29.655", "fingerprint" : "02298da03c6bcf1b020117cf87db52b573551d5d80c039de3ff1e63abfffc12f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/claimsorted/6008dea0-8c78-42b0-8534-9325878e455b/application", "externalId" : "6008dea0-8c78-42b0-8534-9325878e455b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "technicalSkills" : "SQL, Excel", "professionalSkills" : [ "Data analysis", "Reporting delivery" ], "hardSkillsList" : [ "Insurance reporting", "Claims analytics" ], "hardSkills" : [ { "name" : "Insurance reporting", "level" : "intermediate" }, { "name" : "Claims analytics", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Reporting", "majorSkillsList" : [ "Data analysis", "Reporting" ], "coreResponsibilities" : "Own reporting delivery end-to-end, Investigate data discrepancies, Resolve data discrepancies, Build reporting processes, Build reporting controls, Improve accuracy, Improve scalability, Partner with engineering, Partner with operations, Improve data quality, Improve automation", "teamCollaboration" : "Partner with engineering; Partner with operations", "domainKnowledge" : "Insurance reporting; Claims; Underwriting; Reinsurance; Bordereaux", "domainList" : [ "insurance-reporting", "claims", "underwriting", "reinsurance", "bordereaux" ], "domainSpecificKnowledge" : [ "Insurance reporting", "Claims", "Underwriting", "Reinsurance", "Bordereaux" ], "toolProficiency" : [ "SQL", "Excel" ], "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Reports delivered on 1st working day; Zero reporting errors; Zero data discrepancies; Great NPS from partners; Great feedback from partners", "qualificationsBasic" : "2+ years of experience in insurance reporting, 2+ years of experience in insurance analytics, 2+ years of experience in claims analytics, Advanced SQL skills, Advanced Excel skills", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "A COMPANY THAT MATTERS Insurance exists to support people at their most vulnerable – after loss, illness, or crisis. Yet too often, the systems behind it fail when they're needed most. ClaimSorted is fixing that. ClaimSorted is rebuilding how insurance claims get handled. We run the entire claims operation for insurers – a model called Third-Party Administration (TPA), in a ~$200B industry that has barely changed in decades. We pair a world-class in-house claims team with an AI-native platform to deliver faster resolutions, better outcomes, and a fundamentally more humane experience for policyholders. Backed by Y Combinator, Atomico, and Eurazeo, we've raised $15M+ and already manage claims for over $200M in insurance premium across 50+ partners, including more than five publicly traded companies. The traction is real. The mission is urgent. And we're just getting started. THE ROLE Every month, some of the largest insurers in the world rely on ClaimSorted to provide accurate reporting data to support their operations. As a Claims Data Analyst, you'll own that reporting. Your mission is simple: ensure reporting to our insurance partners is accurate and timely. You will play a critical role in keeping the insurance industry running smoothly Success means: - All reports are delivered on the 1st working day of each month - Zero reporting errors or data discrepancies - Great NPS and feedback from our insurance partners RESPONSIBILITIES - Own reporting delivery end-to-end for insurance partners - Investigate and resolve data discrepancies - Build reporting processes and controls that improve accuracy and scalability - Partner with engineering and operations to improve data quality and automation REQUIREMENTS - 2+ years of experience in insurance reporting, insurance analytics, claims analytics, or a similar role - Advanced SQL and Excel skills - Strong understanding of insurance reporting, including claims, underwriting, reinsurance, or bordereaux - Exceptional attention to detail and a bias for finding root causes COMPENSATION & BENEFITS - Competitive salary beyond the industry standard - Generous, transparent equity participation - Skilled Worker visa sponsorship in the UK - 28 days annual leave plus bank holidays - 30 days of remote work annually - Health insurance - Pension contributions in line with UK auto-enrolment requirements - Company offsites", "summaryDescription" : "Claims Data Analyst at ClaimSorted. Skills: Data analysis, Reporting. Own reporting delivery end-to-end. Investigate data discrepancies", "createdAt" : "2026-06-14T18:50:06.904", "lastUpdated" : "2026-06-16T01:46:29.655", "ingestTimestamp" : "2026-06-14T18:50:06.904", "mongoId" : "6a2cb03f74d8ee00a09d965f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Insurance reporting", "Claims analytics", "Data analysis", "Reporting", "Reporting delivery", "Claims", "Underwriting", "Reinsurance", "Bordereaux", "SQL", "Excel" ], "skillCount" : 11, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "id" : "69d01d5d2beec4dd3db6527d", "title" : "Warranty Specialist", "company" : "AQUA BLUE POOLS", "industry" : "Real Estate", "salary" : { "min" : 60000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Charleston, SC", "locations" : [ "Charleston", "SC" ], "timestamp" : "2026-06-15T22:33:10.014", "fingerprint" : "05d0a66cfcfe1c8710b4a2e040f251918349951728da1efd2eb13a10eaf6cf15", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://aqua-blue-pools.breezy.hr/p/54065cf4871a-warranty-specialist-construction", "externalId" : "54065cf4871a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Charleston", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7884363,-79.9399309" } ], "locationText" : "Charleston, South Carolina, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "coreResponsibilities" : "Manage warranty claims, Coordinate with homeowners, Coordinate with subcontractors, Schedule repairs, Document all warranty activities", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Construction defects", "domainList" : [ "construction-defects" ], "domainSpecificKnowledge" : [ "Construction defects" ], "documentationSkills" : "Warranty documentation", "specialRequirements" : "Company vehicle provided", "qualificationsBasic" : "Bachelor's degree", "workSiteFlexibility" : "Onsite", "rawDescription" : "Warranty Specialist – Aqua Blue Pools of Charleston Competitive compensation package - $60k+ Company vehicle provided Bachelor", "summaryDescription" : "Warranty Specialist at AQUA BLUE POOLS. Manage warranty claims. Coordinate with homeowners", "createdAt" : "2026-06-14T21:15:29.647", "lastUpdated" : "2026-06-15T22:33:10.014", "ingestTimestamp" : "2026-06-14T21:15:29.647", "mongoId" : "69d01d5d2beec4dd3db6527d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Construction defects" ], "skillCount" : 1, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.92 }, { "id" : "6a30716df292fd229cff9274", "title" : "Customer Service Claims and Life Insurance Advisor", "company" : "Sutherland", "industry" : "Telecommunications", "salary" : { "min" : 2300000.0, "max" : 3500000.0, "currency" : "JMD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Kingston, Jamaica, adjusted for mid-seniority in the insurance industry." }, "location" : "Kingston, St. Andrew Parish, Jamaica, //1, JM", "locations" : [ "Kingston, St. Andrew Parish, Jamaica", "//1", "JM" ], "timestamp" : "2026-06-16T10:14:59.477", "fingerprint" : "ce7a0dd87fb7fd53e2df2d0f9d683b0eaa25ad44ee4a83093d6f98e8efcb46ec", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Sutherland/744000132079208-customer-service-claims-and-life-insurance-advisor-", "externalId" : "744000132079208", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kingston", "state" : "Saint Andrew Parish", "country" : "Jamaica", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "17.9841723,-76.8057525" } ], "locationText" : "Kingston, Saint Andrew Parish, Jamaica", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "remoteFriendly" : false, "rawDescription" : "We are One Sutherland — a global team where everyone is working together to create great breakthrough solutions. Our workforce has thrived in an environment of diversity of thought, experience and background. We celebrate our diversity and embrace it whole-heartedly. Sutherland is an equal opportunity employer. We promote a positive work environment by conducting ourselves professionally and helping each other achieve our goal of One Sutherland Team, Playing to Win. Sutherland was founded 35 years ago (1986). Since then, we have become a leading global provider of business process and technology management services offering an integrated portfolio of analytics-driven back office and customer-facing solutions that support the entire customer life cycle. The Claims Customer Service Representative serves as a primary point of contact for beneficiaries, families, and representatives reporting life and annuity death claims. This role requires a high level of compassion, empathy, and active listening, as callers are often navigating emotionally difficult situations. The representative independently handles routine and increasingly complex inquiries, provides clear guidance on next steps, and ensures a respectful, supportive, and accurate claims experience from first contact through resolution. The role also requires the ability to balance emotional sensitivity with efficiency, accuracy, and regulatory compliance. The Life Insurance Customer Service Representative serves as a primary point of contact for policyowners, agents, and internal partners regarding life insurance products and services. This role handles a high volume of inbound calls and requires strong product knowledge, attention to detail, and the ability to clearly explain complex life insurance concepts. The representative independently manages routine and increasingly complex inquiries while delivering an efficient, accurate, and professional customer experience. The role also requires the ability to balance emotional sensitivity with efficiency, accuracy, and regulatory compliance. Serve as the first point of contact for life and annuity death claims, responding with patience, empathy, and professionalism while actively listening to customer needs. • Handle inbound life insurance customer service calls related to policy information, billing, beneficiaries, ownership changes, policy values, loans, withdrawals, and general service requests. • Handle inbound calls related to claim notification, documentation requirements, claim status, and general inquiries. • Clearly explain claims processes, required forms, timelines, and next steps in a calm, supportive, and easy-to-understand manner. • Research and review policy and claim information across multiple systems to provide accurate and timely responses. • Serve as a knowledgeable point of contact, explaining complex life insurance products, provisions, and options in clear, customer-friendly language. • Deliver routine work independently and manage increasingly complex inquiries by reviewing policy records and applying established procedures and guidelines. • Research and analyze policy data across multiple systems to provide accurate, timely responses while meeting service and quality standards • Apply critical thinking to interpret unique or non-standard customer situations, analyzing policy details, context, and customer needs to determine the most appropriate procedural path. • Use sound judgment to adapt established procedures when scenarios fall outside typical patterns, recognizing exceptions and providing accurate, compliant, customer-focused solutions • Document all customer interactions thoroughly and accurately, ensuring policy records are complete, current, and compliant. • Apply sound judgment and discretion when handling confidential customer and policy information. • Identify when issues require escalation and partner with senior team members or leadership to resolve complex situations. • Meet or exceed established productivity, quality, and service level expectations in a fast-paced call-center environment. • Support departmental and enterprise initiatives, including system changes, process improvements, and ongoing training. Protect customers’ privacy and reassure them with empathy and professionalism. The incumbent in this role must demonstrate a willingness to provide strong customer service – providing accurate information to customers, expressing appropriate empathy, and resolving customer issues where appropriate. This position requires the use of multiple system applications and administrative processes. While service is focused on our external customers, this position is responsible for creating detailed/appropriate documentation for our internal cross-functional business partners. ## Qualifications Our most successful candidates will have: · * Must be 18 years or older. * A minimum of 3-4 CXC/GCE/City & Guilds subjects inclusive of English Language, or a U.S. high school diploma or GED. CXC/CSEC, City & Guilds. I, II, III; GCE A, B, C; SSC 4, 5; JSCE Pass; NCTVET or HEART Level 1, 2, 3; and CCSLC - Competence & Mastery. ( Must have proof of qualifications) * Must have a valid (not expired) government issued ID, TRN and NIS card. * Must be able to pass a criminal background check and drug test as needed. * Must have flexible availability to work any day and any assigned shift weekly.(Weekends and Public Holidays). * Must be able to train and / or work onsite at our Red Hills Road site. * 1 year of BPO/customer service experience preferred. * Prior experience handling sensitive or emotionally complex customer interactions strongly preferred. * Demonstrated ability to perform at a high level, to support our high volume of inbound calls. * Experience in customer service is an asset and preferred. * Good systematic problem solving ability , using sound business judgment, and following through on commitments to customers. * The ability to quickly and accurately identify and assess individual customer needs and take appropriate action steps to satisfy those needs. * Excellent attention to detail. * A passion for helping customers and exceeding their expectations with high integrity. * Strong verbal and written communication skills and the ability to tailor styles to the audience * See through the eyes of the customer. * Excellent verbal and written communication skills; able to translate Customer communication rapidly and effectively on live voice or chat interactions. proficient reading skills required. * The ability to project patience, empathy, caring, and sincerity in written words or voice tone, depending on channel. * Ability to effectively organize, prioritize, multi-task and manage time. * Multi-tasking skills, showcased through the use of several applications; experience working with CRM applications preferred. * Basic PC keyboarding skills; basic Microsoft Office (Outlook, Word, Excel) experience required. * Ability to type over 30 WPM with 80% accuracy. * Must be very tech savvy with strong abilities in handling troubleshooting techniques and resolving technical issues. * Inspire confidence and positively influence the behaviour, actions, and thoughts of others. Required Skills & Capabilities: Compassion, Listening, and Emotional Intelligence (Must-Have): • Demonstrated ability to listen actively, respond empathetically, and communicate with sensitivity during emotionally charged conversations. • Comfort supporting individuals experiencing loss, grief, or stress while maintaining professionalism and composure. • Strong critical-thinking ability to interpret ambiguous scenarios, assess multiple data points, and determine correct procedural application. Core Professional Skills: • Strong verbal and written communication skills, with the ability to explain complex information clearly and calmly. • Proven customer service experience handling complex or sensitive inquiries. • Ability to work effectively in a fast-paced, call-center environment with consistent call volumes. • Strong organizational skills, attention to detail, and ability to multitask across systems. • Ability to navigate non-standard customer situations by applying procedures thoughtfully rather than relying solely on scripted responses. • Demonstrated judgment in situations requiring evaluation beyond predefined workflows or standard call types. • Sound judgment and decision-making skills, with appropriate escalation when needed. ## Additional Information Our employees enjoy: * Competitive compensation packages inclusive of base pay, incentives, over-time and shift differentials for certain shifts. * Annual merit increase based on performance. * Paid Training. * Discounts for several corporate and retail partners for services and products once Sutherland ID is presented. * Excellent training and supervisory support - to help you feel comfortable servicing our customers. * Competitive Salary with attractive and attainable PBI structure. * Paid vacation and sick leave annually. * Exceptional Health and Life Insurance Plan * Lunch benefits and subsidy. * Onsite lunch concessionaire at reduced rates. * Transportation/ Shuttle Services - Free transportation home for shifts that end after 9:00 pm and pick-ups for shifts that begin before 6am * Free On-site medical suite with nurse and medical doctor. * Daily Refuel Plan - Robust and dynamic schedule of activities to keep employees energized both at home and in the office. * Paid referral program * Career development & growth opportunities for advancement. * Excellent Reward and recognition programs. As your prospective employer, we need to process your Personal Data as needed to evaluate your qualification for the position you are applying for with Sutherland. During the recruitment process, your Personal Data may be transferred outside of Jamaica and disclosed to third parties in the normal course of the recruitment and/or employment process or as needed to comply with applicable laws. This may include transferring information to our affiliated Companies for purposes connected to your employment with the company or to the management of Sutherland’s business.", "summaryDescription" : "Customer Service Claims and Life Insurance Advisor at Sutherland", "postedDate" : "2026-06-14T22:35:27.000", "createdAt" : "2026-06-16T01:34:31.997", "lastUpdated" : "2026-06-16T10:14:59.477", "ingestTimestamp" : "2026-06-16T01:34:31.997", "mongoId" : "6a30716df292fd229cff9274", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3055daf292fd229cf22481", "title" : "Customer Service Claims and Life Insurance Advisor", "company" : "Sutherland", "industry" : "Telecommunications", "salary" : { "min" : 2300000.0, "max" : 3500000.0, "currency" : "JMD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Kingston, Jamaica, adjusted for mid-seniority and the insurance industry." }, "location" : "Kingston, St. Andrew Parish, Jamaica, //1, JM", "locations" : [ "Kingston, St. Andrew Parish, Jamaica", "//1", "JM" ], "timestamp" : "2026-06-16T09:36:36.123", "fingerprint" : "e548b6a2bfa941ad6c3f029b37badc0a950a771fd4552a6efcfabf12d78448df", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Sutherland/744000132079208-customer-service-claims-and-life-insurance-advisor-", "externalId" : "744000132079208", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kingston", "state" : "Saint Andrew Parish", "country" : "Jamaica", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "17.9841723,-76.8057525" } ], "locationText" : "Kingston, Saint Andrew Parish, Jamaica", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "remoteFriendly" : false, "rawDescription" : "We are One Sutherland — a global team where everyone is working together to create great breakthrough solutions. Our workforce has thrived in an environment of diversity of thought, experience and background. We celebrate our diversity and embrace it whole-heartedly. Sutherland is an equal opportunity employer. We promote a positive work environment by conducting ourselves professionally and helping each other achieve our goal of One Sutherland Team, Playing to Win. Sutherland was founded 35 years ago (1986). Since then, we have become a leading global provider of business process and technology management services offering an integrated portfolio of analytics-driven back office and customer-facing solutions that support the entire customer life cycle. The Claims Customer Service Representative serves as a primary point of contact for beneficiaries, families, and representatives reporting life and annuity death claims. This role requires a high level of compassion, empathy, and active listening, as callers are often navigating emotionally difficult situations. The representative independently handles routine and increasingly complex inquiries, provides clear guidance on next steps, and ensures a respectful, supportive, and accurate claims experience from first contact through resolution. The role also requires the ability to balance emotional sensitivity with efficiency, accuracy, and regulatory compliance. The Life Insurance Customer Service Representative serves as a primary point of contact for policyowners, agents, and internal partners regarding life insurance products and services. This role handles a high volume of inbound calls and requires strong product knowledge, attention to detail, and the ability to clearly explain complex life insurance concepts. The representative independently manages routine and increasingly complex inquiries while delivering an efficient, accurate, and professional customer experience. The role also requires the ability to balance emotional sensitivity with efficiency, accuracy, and regulatory compliance. Serve as the first point of contact for life and annuity death claims, responding with patience, empathy, and professionalism while actively listening to customer needs. • Handle inbound life insurance customer service calls related to policy information, billing, beneficiaries, ownership changes, policy values, loans, withdrawals, and general service requests. • Handle inbound calls related to claim notification, documentation requirements, claim status, and general inquiries. • Clearly explain claims processes, required forms, timelines, and next steps in a calm, supportive, and easy-to-understand manner. • Research and review policy and claim information across multiple systems to provide accurate and timely responses. • Serve as a knowledgeable point of contact, explaining complex life insurance products, provisions, and options in clear, customer-friendly language. • Deliver routine work independently and manage increasingly complex inquiries by reviewing policy records and applying established procedures and guidelines. • Research and analyze policy data across multiple systems to provide accurate, timely responses while meeting service and quality standards • Apply critical thinking to interpret unique or non-standard customer situations, analyzing policy details, context, and customer needs to determine the most appropriate procedural path. • Use sound judgment to adapt established procedures when scenarios fall outside typical patterns, recognizing exceptions and providing accurate, compliant, customer-focused solutions • Document all customer interactions thoroughly and accurately, ensuring policy records are complete, current, and compliant. • Apply sound judgment and discretion when handling confidential customer and policy information. • Identify when issues require escalation and partner with senior team members or leadership to resolve complex situations. • Meet or exceed established productivity, quality, and service level expectations in a fast-paced call-center environment. • Support departmental and enterprise initiatives, including system changes, process improvements, and ongoing training. Protect customers’ privacy and reassure them with empathy and professionalism. The incumbent in this role must demonstrate a willingness to provide strong customer service – providing accurate information to customers, expressing appropriate empathy, and resolving customer issues where appropriate. This position requires the use of multiple system applications and administrative processes. While service is focused on our external customers, this position is responsible for creating detailed/appropriate documentation for our internal cross-functional business partners. ## Qualifications Our most successful candidates will have: · * Must be 18 years or older. * A minimum of 3-4 CXC/GCE/City & Guilds subjects inclusive of English Language, or a U.S. high school diploma or GED. CXC/CSEC, City & Guilds. I, II, III; GCE A, B, C; SSC 4, 5; JSCE Pass; NCTVET or HEART Level 1, 2, 3; and CCSLC - Competence & Mastery. ( Must have proof of qualifications) * Must have a valid (not expired) government issued ID, TRN and NIS card. * Must be able to pass a criminal background check and drug test as needed. * Must have flexible availability to work any day and any assigned shift weekly.(Weekends and Public Holidays). * Must be able to train and / or work onsite at our Red Hills Road site. * 1 year of BPO/customer service experience preferred. * Prior experience handling sensitive or emotionally complex customer interactions strongly preferred. * Demonstrated ability to perform at a high level, to support our high volume of inbound calls. * Experience in customer service is an asset and preferred. * Good systematic problem solving ability , using sound business judgment, and following through on commitments to customers. * The ability to quickly and accurately identify and assess individual customer needs and take appropriate action steps to satisfy those needs. * Excellent attention to detail. * A passion for helping customers and exceeding their expectations with high integrity. * Strong verbal and written communication skills and the ability to tailor styles to the audience * See through the eyes of the customer. * Excellent verbal and written communication skills; able to translate Customer communication rapidly and effectively on live voice or chat interactions. proficient reading skills required. * The ability to project patience, empathy, caring, and sincerity in written words or voice tone, depending on channel. * Ability to effectively organize, prioritize, multi-task and manage time. * Multi-tasking skills, showcased through the use of several applications; experience working with CRM applications preferred. * Basic PC keyboarding skills; basic Microsoft Office (Outlook, Word, Excel) experience required. * Ability to type over 30 WPM with 80% accuracy. * Must be very tech savvy with strong abilities in handling troubleshooting techniques and resolving technical issues. * Inspire confidence and positively influence the behaviour, actions, and thoughts of others. Required Skills & Capabilities: Compassion, Listening, and Emotional Intelligence (Must-Have): • Demonstrated ability to listen actively, respond empathetically, and communicate with sensitivity during emotionally charged conversations. • Comfort supporting individuals experiencing loss, grief, or stress while maintaining professionalism and composure. • Strong critical-thinking ability to interpret ambiguous scenarios, assess multiple data points, and determine correct procedural application. Core Professional Skills: • Strong verbal and written communication skills, with the ability to explain complex information clearly and calmly. • Proven customer service experience handling complex or sensitive inquiries. • Ability to work effectively in a fast-paced, call-center environment with consistent call volumes. • Strong organizational skills, attention to detail, and ability to multitask across systems. • Ability to navigate non-standard customer situations by applying procedures thoughtfully rather than relying solely on scripted responses. • Demonstrated judgment in situations requiring evaluation beyond predefined workflows or standard call types. • Sound judgment and decision-making skills, with appropriate escalation when needed. ## Additional Information Our employees enjoy: * Competitive compensation packages inclusive of base pay, incentives, over-time and shift differentials for certain shifts. * Annual merit increase based on performance. * Paid Training. * Discounts for several corporate and retail partners for services and products once Sutherland ID is presented. * Excellent training and supervisory support - to help you feel comfortable servicing our customers. * Competitive Salary with attractive and attainable PBI structure. * Paid vacation and sick leave annually. * Exceptional Health and Life Insurance Plan * Lunch benefits and subsidy. * Onsite lunch concessionaire at reduced rates. * Transportation/ Shuttle Services - Free transportation home for shifts that end after 9:00 pm and pick-ups for shifts that begin before 6am * Free On-site medical suite with nurse and medical doctor. * Daily Refuel Plan - Robust and dynamic schedule of activities to keep employees energized both at home and in the office. * Paid referral program * Career development & growth opportunities for advancement. * Excellent Reward and recognition programs. As your prospective employer, we need to process your Personal Data as needed to evaluate your qualification for the position you are applying for with Sutherland. During the recruitment process, your Personal Data may be transferred outside of Jamaica and disclosed to third parties in the normal course of the recruitment and/or employment process or as needed to comply with applicable laws. This may include transferring information to our affiliated Companies for purposes connected to your employment with the company or to the management of Sutherland’s business.", "summaryDescription" : "Customer Service Claims and Life Insurance Advisor at Sutherland", "postedDate" : "2026-06-14T22:35:27.000", "createdAt" : "2026-06-15T23:42:44.925", "lastUpdated" : "2026-06-16T09:36:36.123", "ingestTimestamp" : "2026-06-15T23:42:44.925", "mongoId" : "6a3055daf292fd229cf22481", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7dc574d8ee00a0950cd4", "title" : "Warranty Specialist", "company" : "Ubiquiti", "industry" : "Technology", "salary" : { "min" : 18.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T09:30:57.659", "fingerprint" : "1ee49430348348bf12be272c6cb61f4195743f0c09bb2ef3631b5952873e1201", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4239004009", "externalId" : "4239004009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "minimumEducation" : "High School", "coreResponsibilities" : "Manage and process warranty claims, Investigate warranty claims, Respond to customer inquiries, Resolve problems, Provide timely communication, Demonstrate product lines, Discuss product lines with customers, Answer customer emails, Gather data for claims, Provide instructions for claims, Perform additional duties", "domainKnowledge" : "Product lines", "domainList" : [ "product-lines" ], "domainSpecificKnowledge" : [ "Product lines" ], "toolProficiency" : [ "NetSuite", "Zendesk" ], "continuousLearning" : "On-the-job training", "qualificationsBasic" : "High school diploma or GED, Fluent in speaking and writing English, Basic computer literacy", "qualificationsPreferred" : "Previous experience using NetSuite, Previous experience using Zendesk", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. The Role A Warranty Specialist will manage and facilitate the entire warranty claims procedure. They will need to answer customer questions in a professional and efficient manner. The warranty specialist will process and submit claims through NetSuite and Zendesk. What You’ll Do Manage and process warranty claims and inquiries through the collection of data, research of claims, and investigation. Respond to customer inquiries or questions professionally and effectively. Determine the best method to resolve problems to ensure customer satisfaction and company adherence to policies. Provide effective and timely communication to all internal and external contacts. Possess knowledge of the product lines to be able to demonstrate and discuss with customers. Answering emails from customers, gathering needed data to process warranty claims, providing instructions on submitting warranty claims. Perform additional duties to support ongoing business needs. What We’re Looking For High school diploma or GED. Fluent in speaking and writing of the English language. Basic computer literacy. Previous experience using NetSuite and Zendesk (preferred). Benefits Work with top-notch technologies Medical, dental, and vision insurance 401k contribution from the company Opportunity to directly influence products used by millions worldwide Flexible work environment On – the – job training will be provided. Wage: $18 / hour", "summaryDescription" : "Warranty Specialist at Ubiquiti. Manage and process warranty claims. Investigate warranty claims", "postedDate" : "2026-06-14T09:02:02.484", "createdAt" : "2026-06-14T09:02:02.484", "lastUpdated" : "2026-06-15T09:30:57.659", "ingestTimestamp" : "2026-06-14T09:02:02.484", "mongoId" : "6a2c7dc574d8ee00a0950cd4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Product lines", "NetSuite", "Zendesk" ], "skillCount" : 3, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30652af292fd229cfa5b91", "title" : "Claims Expert for AI Research Project", "company" : "Aptura", "industry" : "Finance", "salary" : { "min" : 80.0, "max" : 200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "USA", "locations" : [ "USA" ], "certifications" : [ "AIC", "CPCU", "SCLA" ], "timestamp" : "2026-06-16T11:05:30.082", "fingerprint" : "65dadf114e9a0a9a288ef8169618231230ecdf641141a0365f894939d36cd5a2", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/aptura/697ba9fa-1c0c-4b1d-8523-0d362d8bd94e/application", "externalId" : "697ba9fa-1c0c-4b1d-8523-0d362d8bd94e", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 8, "experienceLevel" : "Senior", "majorSkills" : "Insurance claims, Coverage decisions, Reserving, Claim resolution", "majorSkillsList" : [ "Insurance claims", "Coverage decisions", "Reserving", "Claim resolution" ], "coreResponsibilities" : "Design realistic claims tasks, Write evaluation rubrics, Review AI-generated work, Flag where models miss issues, Explain why it matters, Build reference claim files, Build adjudication materials", "domainKnowledge" : "P&C claims; Coverage issues; Claim outcomes", "domainList" : [ "p-c-claims", "coverage-issues", "claim-outcomes" ], "domainSpecificKnowledge" : [ "P&C claims", "Coverage issues", "Claim outcomes" ], "communicationSkills" : "Communicate claim decisions", "qualificationsBasic" : "5–8+ years handling P&C claims", "qualificationsPreferred" : "AIC, CPCU, SCLA, or equivalent", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About Aptura Aptura works with leading foundational AI labs to bring institutional finance expertise directly into AI model development. Founded by ex-Lazard and Partners Group professionals, we operate from London and San Francisco. The Opportunity You’ve built deep expertise in insurance claims, investigations, coverage decisions, reserving, or claim resolution, and produced work that drives real decisions. Now that expertise has a new application: shaping how frontier AI models reason through complex insurance problems. What you'll do - Design realistic claims tasks: claim intake, investigations, coverage determinations, reserve-setting decisions, and claim resolution scenarios. - Write evaluation rubrics that reflect how experienced claims professionals reason through coverage, liability, reserves, settlement decisions, and recovery opportunities. - Review AI-generated work and flag where models miss coverage issues, set inadequate reserves, mishandle investigations, or reach unsupported claim outcomes, explaining why it matters. - Build reference claim files and adjudication materials that set the benchmark models are tested. - Communicate claim decisions and rationale clearly in writing. How Engagements Work Fully remote, part-time, and flexible. Work is scoped by project and ranges from short engagements to ongoing collaborations, structured as a contract or a monthly retainer. You May Be A Good Fit If: - 5–8+ years handling P&C claims — as an adjuster, examiner, claims specialist, or claims manager. - You’ve made coverage decisions, set reserves, or handled claim outcomes that had to withstand scrutiny. - AIC, CPCU, SCLA, or equivalent (preferred, not required). - You can explain why a claim resolves the way it does clearly enough to teach the reasoning, not just the outcome. Compensation $80–$200 per hour, aligned with expertise, scope, and impact; exceptional or highly specialised expertise can go higher. Ongoing engagements are typically structured as a monthly retainer rather than on an hourly basis.", "summaryDescription" : "Claims Expert for AI Research Project at Aptura. Skills: Insurance claims, Coverage decisions, Reserving, Claim resolution. Design realistic claims tasks. Write evaluation rubrics", "createdAt" : "2026-06-16T00:23:33.618", "lastUpdated" : "2026-06-16T11:05:30.082", "ingestTimestamp" : "2026-06-16T00:23:33.618", "mongoId" : "6a30652af292fd229cfa5b91", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 166400, "salaryAnnualMax" : 416000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Insurance claims", "Coverage decisions", "Reserving", "Claim resolution", "P&C claims", "Coverage issues", "Claim outcomes", "AIC", "CPCU", "SCLA" ], "skillCount" : 10, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c957a74d8ee00a098d2de", "title" : "CRM and Data Manager", "company" : "DIM Brands International", "industry" : "Retail", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Retail in Rueil-Malmaison, France, adjusted for seniority and company size." }, "location" : "DIM", "locations" : [ "DIM" ], "timestamp" : "2026-06-15T10:19:28.809", "fingerprint" : "f05a02a872fa9bbf998c777d4bd011e4d6e7f569d770000a0b2c45630039132c", "source" : "greenhouse", "language" : "fr", "applyUrl" : "https://job-boards.greenhouse.io/dim/jobs/8002978", "externalId" : "8002978", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Rueil-Malmaison", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8777800,2.1802832" } ], "locationText" : "Rueil-Malmaison, France", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "CRM, Data management, Customer Data Platform, IA", "professionalSkills" : [ "Customer engagement", "Customer retention", "Customer satisfaction", "Omnichannel approach", "Data analysis", "Reporting", "Process optimization" ], "hardSkillsList" : [ "Data quality monitoring", "Performance tracking", "KPI reporting", "Customer service management" ], "hardSkills" : [ { "name" : "Data quality monitoring", "level" : "intermediate" }, { "name" : "Performance tracking", "level" : "intermediate" }, { "name" : "KPI reporting", "level" : "intermediate" }, { "name" : "Customer service management", "level" : "intermediate" } ], "majorSkills" : "CRM, Data Management, Customer Experience, Team Leadership", "majorSkillsList" : [ "CRM", "Data Management", "Customer Experience", "Team Leadership" ], "coreResponsibilities" : "Pilot engagement plans, Pilot retention plans, Pilot satisfaction plans, Supervise campaign implementation, Supervise customer journeys, Supervise activation scenarios, Coordinate CRM program redesign, Coordinate CRM program optimization, Ensure targeting relevance, Ensure database exploitation, Monitor data quality, Identify data anomalies, Track performance, Update key dashboards, Report regularly to management, Share best practices, Share campaign results, Manage collaborators daily, Help collaborators upskill, Track collaborator planning, Resolve daily issues, Supervise European customer service, Optimize response processes, Ensure tool configuration", "teamCollaboration" : "IT teams; E-commerce teams; Retail teams; European countries", "domainKnowledge" : "Retail; E-commerce", "domainList" : [ "retail", "e-commerce" ], "domainSpecificKnowledge" : [ "Retail", "E-commerce" ], "toolProficiency" : [ "Klaviyo", "Gladly" ], "innovationCreativity" : "Propose new ideas; Propose new tools", "problemSolvingSkills" : "Identify anomalies; Resolve issues", "outcomesObjectives" : "Measure action impact", "qualificationsBasic" : "8 to 10 years experience, Management experience, Comfortable with numbers, Understand database functioning, Rigorous, Proficient in campaign management tools, Proficient in customer service tools, Fluent English", "qualificationsPreferred" : "Retail or e-commerce experience", "workSiteFlexibility" : "Flexible", "rawDescription" : "DIM Brands International (DBI) est un fabricant et distributeur éco-responsable de sous-vêtements des marques parmi les plus fortes au monde (DIM, Nur Die, Lovable, La Senza...) pour toute la famille. DIM est le leader du marché en France et la marque préférée des consommateurs français (Étude OpinionWay – 1059 répondants – février 2025), Nur Die est le leader du marché en Allemagne dans le segment des produits de consommation, Lovable est un solide second sur le marché italien de la lingerie et La Senza est une marque canadienne emblématique de sous-vêtements. Les produits DIM sont distribués en Omnicanalité (GMS, Ecommerce et Boutiques DIM). Fondée en 1960, DBI a une longue tradition d'innovation et d'excellence. En 2022, l'entreprise a retrouvé son indépendance et entend accélérer sa croissance en s'appuyant sur une stratégie claire basée sur quatre axes : le développement de ses marques phares, un solide programme d'innovations produits, une stratégie omnicanale forte et un programme d'excellence opérationnelle continue. \"Simplification and Scale\" est notre devise stratégique. Notre ambition est d'ouvrir un nouveau cycle de croissance rentable et de réaliser le plein potentiel mondial de la marque DIM. Le siège de DBI est situé à Rueil-Malmaison, près de Paris, avec des filiales dans toute l'Europe (DACH, Italie, Ibérie, Europe de l'Est, Canada) et des distributeurs au Moyen-Orient, en Asie et en Afrique. Son centre d'approvisionnement (fabrication et logistique) est basé à Autun, en Bourgogne, où plus de 5 milliards de collants ont été produits depuis la création de DIM ! De plus, nous sommes profondément engagés dans une stratégie dynamique ESG, structurée autour de 3 piliers : Planète, Produit, Personnes. Par exemple, la marque DIM est neutre en CO2 scope 1&2, grâce à un mix de réduction et de capture des émissions. Dans ce contexte, la direction e-commerce recrute un CRM and Data Manager en CDI. Contexte & Enjeux Sous la responsabilité de la Directrice E-commerce, vous pilotez les plans d'actions d’engagement, de fidélisation et de satisfaction client de nos différentes marques (Dim, Playtex, Abanderado, Lovable….). Le poste est basé en France (siège), d'où vous coordonnez le périmètre européen. À la tête d'une équipe de 2 personnes (un(e) Responsable CRM et un(e) Responsable Service Client), et en étroite collaboration avec les équipes IT, E-commerce et Retail, vous veillez à la cohérence de l'expérience client depuis le premier contact jusqu'au service après-vente. Manager de proximité, vous aimez le travail en équipe et apportez votre soutien opérationnel à vos collaborateurs en maîtrisant les outils du quotidien. Vos Missions Animation & Déploiement CRM / Fidélisation Superviser et accompagner la mise en œuvre opérationnelle des campagnes, des parcours clients (approche omnicanale) et des scénarios d'activation. Coordonner les projets de refonte ou d'optimisation des programmes CRM pour nos marques en Europe, en lien avec les équipes IT, E-commerce et Retail. Garantir la pertinence des ciblages et la bonne exploitation de la base de données clients (Customer Data Platform) en collaboration avec l'IT. Amélioration continue : Assurer une veille sur les bonnes pratiques du marché et proposer de nouvelles idées ou outils simples (nouveaux canaux, IA d'aide à la rédaction, etc.) pour moderniser nos pratiques. Faire évoluer le programme de fidélité de DIM France et optimiser les scénarios d’automation. Suivi des données & Reporting Suivi de la qualité de la donnée : vous comprenez les flux de données pour repérer les anomalies simples (problèmes d'import, écarts de chiffres, bugs outils) et faites le lien avec les équipes IT pour leur résolution. Suivre la performance : Suivre et mettre à jour les dashboards clés (KPIs d'engagement, conversion, rétention, NPS) pour mesurer l'impact des actions. Partage des résultats : Assurer un reporting régulier auprès de la direction et des pays pour partager les bonnes pratiques et les résultats des campagnes. Management, Support Outils & Service Client Manager et accompagner au quotidien vos 2 collaborateurs : vous les aidez à monter en compétences, suivez leur planning et débloquez avec eux les sujets du quotidien sur les outils (Klaviyo, Gladly, etc.). Superviser le Service Client européen (géré opérationnellement par votre collaborateur), en l'aidant à optimiser les process de réponse et à s'assurer du bon paramétrage de l'outil de ticketing. Profil recherché Expérience : 8 à 10 ans d'expérience en CRM, marketing relationnel ou expérience client, idéalement dans l'univers du retail ou du e-commerce. Management & Posture : Vous avez une première expérience de management et un tempérament de \"facilitateur\". Vous aimez être proche de votre équipe et l'aider concrètement sur le terrain. Sensibilité Tech & Data : Vous êtes à l'aise avec les chiffres et comprenez le fonctionnement d'une base de données. Vous êtes rigoureux(se) et savez repérer quand \"un chiffre ne colle pas\" dans un outil. Compétences outils : Vous avez une bonne maîtrise pratique des outils de gestion de campagne (idéalement Klaviyo) et de service client (Gladly ou équivalent). Qualités personnelles : Forte orientation client, rigueur, bon relationnel pour travailler avec des interlocuteurs variés (IT, Retail, pays). Langues : Anglais courant indispensable pour échanger avec nos interlocuteurs internes et prestataires. Le poste est basé à Rueil-Malmaison dans des locaux au bord de la Seine. Life @DIM : Les collaborateurs sont mis au cœur de la stratégie de l’entreprise, ce qui vous permet d'obtenir les avantages suivants : Évoluer au sein d’un environnement stimulant parmi une équipe jeune et dynamique, et relever de nouveaux défis chaque jour Profiter du restaurant d'entreprise Avoir accès aux ventes organisées par le CE et 30% de réduction sur les produits de nos boutiques et sites internet Avoir un accès à la Conciergerie (services proposés par des esthéticiennes, ostéopathes, cordonniers…) Coaching sportif", "summaryDescription" : "CRM and Data Manager at DIM Brands International. Skills: CRM, Data Management, Customer Experience, Team Leadership. Pilot engagement plans. Pilot retention plans", "postedDate" : "2026-06-14T09:40:26.019", "createdAt" : "2026-06-14T09:40:26.019", "lastUpdated" : "2026-06-15T10:19:28.809", "ingestTimestamp" : "2026-06-14T09:40:26.019", "mongoId" : "6a2c957a74d8ee00a098d2de", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data quality monitoring", "Performance tracking", "KPI reporting", "Customer service management", "CRM", "Data Management", "Customer Experience", "Team Leadership", "Customer engagement", "Customer retention", "Customer satisfaction", "Omnichannel approach", "Data analysis", "Reporting", "Process optimization", "Retail", "E-commerce", "Klaviyo", "Gladly" ], "skillCount" : 19, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307ebaf292fd229c051ced", "title" : "Warranty/Service Technician", "company" : "Cornerstone Building Brands", "industry" : "Building Materials", "salary" : { "min" : 50000.0, "max" : 70000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Warranty/Service Technician in Calgary, Canada, adjusted for the manufacturing industry and company size." }, "location" : "Calgary, AB, Canada", "locations" : [ "Calgary", "AB", "Canada" ], "timestamp" : "2026-06-16T10:17:45.692", "fingerprint" : "e3f8de318ffa2968849852c67ce5a5de0cef9983102b8b270d4763de207271f2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/CornerstoneBuildingBrandsCareers/3743990013623786-warranty-service-technician-", "externalId" : "3743990013623786", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Calgary", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "51.0456064,-114.0575410" } ], "locationText" : "Calgary, Alberta, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "coreResponsibilities" : "Complete all service requests in assigned territory, Perform field repairs, Perform glass replacements, Perform operational adjustments, Conduct field evaluations, Conduct inspections, Provide documentation on work performed, Review daily schedule with Service Scheduler, Confirm appointments with customers, Provide feedback on service requests, Document requirements for follow-up appointments, Assist in scheduling follow-up appointments, Provide technical feedback, Document information regarding operational deficiencies, Document information regarding design deficiencies, Provide recommendations for modifications, Operate service Van/truck safely, Maintain parts inventory in assigned service vehicle, Monitor supply levels of parts, Restock parts as needed", "teamCollaboration" : "Communicating with dealers; Internal contacts all levels; External contacts homeowners; External contacts contractors; External contacts distributors", "domainKnowledge" : "Window and door products", "domainList" : [ "window-and-door-products" ], "domainSpecificKnowledge" : [ "Window and door products" ], "documentationSkills" : "Provide documentation on work performed", "problemSolvingSkills" : "Independent judgment; Problem solving ability; Keen observation skills; Effective responsibility assumption; Prompt action in making craftsman-like repairs; Product replacements for customer satisfaction", "specialRequirements" : "Operate service Van/truck", "qualificationsBasic" : "1 to 5 years of working experience as a service technician for similar window and door manufacturers, Valid class 5 driver's license, Clean driver's abstract, Able to work in all inclement weather conditions, Able to work off ladders and scaffolding", "qualificationsPreferred" : "Glass glazing experience preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Cornerstone Building Brands is a leading manufacturer of exterior building products for residential and low-rise non-residential buildings in North America. Headquartered in Cary, N.C., we serve residential and commercial customers across the new construction and Repair & Remodel (R&R) markets. Our market-leading portfolio of products spans vinyl windows, vinyl siding, stone veneer, metal roofing, metal wall systems and metal accessories. Cornerstone Building Brands’ broad, multi-channel distribution platform and expansive national footprint includes more than 18,800 team members at manufacturing, distribution and office locations throughout North America. Corporate stewardship and Environmental, Social and Governance (ESG) responsibility are embedded in our culture. We are committed to contributing positively to the communities where we live, work and play. For more information, visit us at [http://cornerstonebuildingbrands.com](https://nam12.safelinks.protection.outlook.com/?url=http%3A%2F%2Fcornerstonebuildingbrands.com%2F&data=05%7C02%7CGrace.Skolimowska%40cornerstone-bb.com%7C93e9ef11230542e09ef708de96682e49%7Cfa4da13235c84842bc84851b1a5020ba%7C0%7C0%7C639113571360709921%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=u7bB%2BfG1Zc%2FUNwGDbUdxnCw%2FbOIkdCo58TFhpps5Tys%3D&reserved=0). Ply Gem Canada is a growing company in the building products industry backed by Cornerstone Building Brands, providing us with stability and strength in the North American market. Cornerstone Building Brands is the largest manufacturer of vinyl windows in North America with brands you’ve come to know and trust. We have endless building product options from standard to specialty to customized to whatever you’re looking for. But it’s our service capabilities that sets us apart. At Ply Gem Canada, we strive to produce a continuous stream of market leading products and services. We are creative and seek to recognize, embrace and apply new ideas and commercialize them more quickly than our competitors. We relentlessly seek to raise the bar on our products and services. We establish a reputation for innovation, quality and service that differentiates us from our competitors and enables us to tailor products and services to be the market leader. Cornerstone Building Brands is seeking a Warranty/Field Service Technician to perform in-field warranty and service repairs and adjustments on window and door products. Provide technical feedback on product performance and deficiencies. Communicating with dealers on the status of specific services issues. This position requires independent judgment, problem solving ability, keen observation skills and effective responsibility assumption. The required problem-solving skills demand prompt action in making craftsman-like repairs or product replacements for customer satisfaction. Exceptional communication and interpersonal skills are essential for success in the position. Internal contacts will be all levels of employees and Territory Managers. External contacts are homeowners, contractors and distributors. This position is for Calgary and area. This Technician preferred to have glass glazing experience. DUTIES AND RESPONSIBILITES * Responsible for completion of all service requests in assigned territory * Perform field repairs, glass replacements, operational adjustments and repair * Conduct field evaluations and inspections * Provide documentation on work performed for each service call * Review daily schedule of appointments with Service Scheduler for efficient routing and confirm appointments with customers prior to arrival * Work closely with service scheduler providing feedback on complete and incomplete service requests * Document requirements for follow-up appointments * Assist in the scheduling of follow-up appointments * Provide technical feedback * Document information gathered in the field regarding operational and design deficiencies * Provide recommendations for modifications * Operate service Van/ truck in a courteous and safe manner * Maintain parts inventory in assigned service vehicle * Monitor supply levels of parts and materials, restock as needed EQUIPMENT PROVIDED * Tools, Equipment, PPE will be provided * Mobile Phone * Assorted hand and power tools * Service Vehicle * Glass cup * Steel-toed Safety shoes * Uniform Shirts * Safety Gloves and glasses ## Qualifications * 1 to 5 years of working experience as a service technician for similar window and door manufacturers * Must have a valid class 5 driver's license and clean driver's abstract * Able to work in all inclement weather conditions * Able to work off ladders and scaffolding ## Additional Information Ply Gem Canada is committed to an inclusive, equitable and accessible workplace. We encourage applications from all qualified candidates, including those with disabilities. We will accommodate applicants’ needs, upon request, throughout all stages of the recruitment process. Please inform us of the accommodation(s) that you may require. Information received relating to accommodation will be addressed confidentially.", "summaryDescription" : "Warranty/Service Technician at Cornerstone Building Brands. Complete all service requests in assigned territory. Perform field repairs", "postedDate" : "2026-06-15T17:19:46.000", "createdAt" : "2026-06-16T01:32:49.298", "lastUpdated" : "2026-06-16T10:17:45.692", "ingestTimestamp" : "2026-06-16T01:32:49.298", "mongoId" : "6a307ebaf292fd229c051ced", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Window and door products" ], "skillCount" : 1, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a210e2074d8ee00a0af5d5b", "title" : "Data and AI Consultant", "industry" : "Consulting", "location" : "[Johannesburg, South Africa, [222, 216 Rahima Moosa St, Johannesburg, 2001, South Africa], Johannesburg, 2001, GP, ZA]", "locations" : [ "[Johannesburg, South Africa, [222, 216 Rahima Moosa St, Johannesburg, 2001, South Africa], Johannesburg, 2001, GP, ZA]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:09:43.961", "fingerprint" : "ce5f54c24f1d83855c92bcc25d7de6eb92fe29ce03d92b75ad978f7e88ee4e1a", "source" : "google", "language" : "en", "externalId" : "122332690157314758", "industryFunction" : { }, "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning", "Data modelling", "ETL processes", "Data warehousing", "Cloud computing", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, AI, Machine Learning, Data Engineering", "majorSkillsList" : [ "Data Science", "AI", "Machine Learning", "Data Engineering" ], "coreResponsibilities" : "Develop and implement data science solutions, Build and maintain data pipelines, Design and deploy machine learning models, Create and manage business intelligence dashboards, Analyze complex datasets, Provide insights and recommendations, Collaborate with stakeholders, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Client stakeholders", "domainKnowledge" : "Cloud-native architecture; Distributed systems", "domainList" : [ "cloud-native-architecture", "distributed-systems" ], "domainSpecificKnowledge" : [ "Cloud-native architecture", "Distributed systems" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Client presentations; Technical documentation", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years of experience in data science, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "summaryDescription" : "Data and AI Consultant. Skills: Data Science, AI, Machine Learning, Data Engineering. Develop and implement data science solutions. Build and maintain data pipelines", "postedDate" : "2026-06-16T01:48:00.642", "createdAt" : "2026-06-16T01:48:00.642", "lastUpdated" : "2026-06-16T11:09:43.961", "ingestTimestamp" : "2026-06-16T01:48:00.642", "mongoId" : "6a210e2074d8ee00a0af5d5b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Machine learning", "Data modelling", "ETL processes", "Data warehousing", "Cloud computing", "A/B testing", "Causal inference", "Data Science", "AI", "Machine Learning", "Data Engineering", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Cloud-native architecture", "Distributed systems", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.0 }, { "id" : "69fd301c4c40e2acd1b225a1", "title" : "Analyst for Strategy and Operations", "company" : "Pyrovio", "industry" : "Consulting", "salary" : { "min" : 75000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Analyst for Strategy and Operations in Ann Arbor, United States, adjusted for the consulting industry and company size." }, "location" : "Ann Arbor, MI", "locations" : [ "Ann Arbor", "MI" ], "timestamp" : "2026-06-15T11:28:58.757", "fingerprint" : "214997a7cde4ce7e15fdc86ef7f4a70ee29b9b8cc695cd235560ac2cb470187a", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://pyrovio.breezy.hr/p/e6454ff51b6c-analyst-for-strategy-and-operations", "externalId" : "e6454ff51b6c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ann Arbor", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.2813722,-83.7484616" } ], "locationText" : "Ann Arbor, Michigan, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning" ], "hardSkillsList" : [ "Operational metrics" ], "hardSkills" : [ { "name" : "Operational metrics", "level" : "intermediate" } ], "majorSkills" : "Strategy, Operations", "majorSkillsList" : [ "Strategy", "Operations" ], "coreResponsibilities" : "Manage processes, Coordinate cross-functionally, Manage vendors, Manage stakeholders, Plan resources, Improve continuously", "outcomesObjectives" : "Achieve performance excellence", "qualificationsBasic" : "US Citizen or Green Card", "rawDescription" : "Are you passionate about strategy and operations with a desire to work with a rapidly growing consultancy helping Fortune 500 companies achieve performance excellence? Must be a US Citizen or hold Green Card Status. About Us: We are passionate about strategy and operations particularly in asset-hea", "summaryDescription" : "Analyst for Strategy and Operations at Pyrovio. Skills: Strategy, Operations. Manage processes. Coordinate cross-functionally", "createdAt" : "2026-06-13T23:55:02.087", "lastUpdated" : "2026-06-15T11:28:58.757", "ingestTimestamp" : "2026-06-13T23:55:02.087", "mongoId" : "69fd301c4c40e2acd1b225a1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Operational metrics", "Strategy", "Operations", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning" ], "skillCount" : 8, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.85 }, { "id" : "6a21a1f374d8ee00a0ca23a4", "title" : "cook for bar and park", "company" : "Skiptown", "industry" : "Food & Beverage", "salary" : { "min" : 36000.0, "max" : 48000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level cook in Atlanta, adjusted for the hospitality industry and company size." }, "location" : "ATLANTA, GA", "locations" : [ "ATLANTA", "GA" ], "timestamp" : "2026-06-15T07:46:26.787", "fingerprint" : "f824033c864b301c732e0377025ac529b3d790742e599f56777c2234e3178100", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://skipper.breezy.hr/p/da9dc8287643-cook-for-bar-and-park-full-time-hours-available", "externalId" : "da9dc8287643", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "employmentType" : "FULL_TIME", "hardSkillsList" : [ "Pizza making", "Sandwich making" ], "hardSkills" : [ { "name" : "Pizza making", "level" : "intermediate" }, { "name" : "Sandwich making", "level" : "intermediate" } ], "majorSkills" : "Pizza making, Sandwich making", "majorSkillsList" : [ "Pizza making", "Sandwich making" ], "coreResponsibilities" : "Make pizzas, Make sandwiches, Stay productive, Cook within health department codes, Work clean, Clean area when done", "qualificationsBasic" : "Cook within health department codes, Work clean", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Great cook position with a small work area. Mainly making pizzas and sandwiches. This is a pretty slow pace position. You must be able to stay productive, cook within health department codes, work clean and clean area when done for the day.", "summaryDescription" : "cook for bar and park at Skiptown. Skills: Pizza making, Sandwich making. Make pizzas. Make sandwiches", "createdAt" : "2026-06-13T23:07:42.113", "lastUpdated" : "2026-06-15T07:46:26.787", "ingestTimestamp" : "2026-06-13T23:07:42.113", "mongoId" : "6a21a1f374d8ee00a0ca23a4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 36000, "salaryAnnualMax" : 48000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Pizza making", "Sandwich making" ], "skillCount" : 2, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Hospitality", "llmIndustryConfidence" : 0.85 }, { "id" : "6a3058bdf292fd229cf43fae", "title" : "Data Entry Specialist", "company" : "Sourcefit", "salary" : { "min" : 315000.0, "max" : 455000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Data Entry Specialist in Quezon City, Philippines, adjusted for full-time onsite employment." }, "location" : "Eastwood Quezon City, PH", "locations" : [ "Eastwood Quezon City", "PH" ], "timestamp" : "2026-06-16T07:03:31.287", "fingerprint" : "76842696737a334f61684186c3848e3feec5e25c14b8782fca4e62aabe394876", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://sourcefit.breezy.hr/p/76a78952e7fa-data-entry-specialist", "externalId" : "76a78952e7fa", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Quezon City", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.6510546,121.0486254" } ], "locationText" : "Quezon City, Philippines", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Enter data into systems, Verify data accuracy, Maintain data integrity, Generate reports from data, Process information accurately", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Data Entry Specialist at Sourcefit. Enter data into systems. Verify data accuracy", "createdAt" : "2026-06-15T22:12:30.356", "lastUpdated" : "2026-06-16T07:03:31.287", "ingestTimestamp" : "2026-06-15T22:12:30.356", "mongoId" : "6a3058bdf292fd229cf43fae", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.85 }, { "id" : "6a307f57f292fd229c058281", "title" : "Senior Data and Analytics Engineer", "company" : "Velir", "salary" : { "min" : 160000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:32:01.810", "fingerprint" : "94ede4f511c38a9621a1a064142cdbb189de1e740bcae1d22083fe7aee1c9284", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/velir/jobs/5262333008", "externalId" : "5262333008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Spark, Dbt, Snowflake, BigQuery, Databricks, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Machine learning", "AI development" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud data platforms", "level" : "intermediate" }, { "name" : "Machine learning models", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Machine learning, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Design data pipelines, Build data models, Develop ETL processes, Implement data warehousing solutions, Create business intelligence dashboards, Engineer analytics solutions, Develop and deploy machine learning models, Perform quantitative analysis, Conduct A/B testing, Apply causal inference techniques, Optimize data infrastructure, Ensure data quality and integrity, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "qualificationsBasic" : "5+ years of experience in data engineering, Proficiency in SQL, Experience with Python", "qualificationsPreferred" : "Master's degree preferred, Experience with dbt Cloud, Experience with MLflow, Experience with Databricks, Experience with Snowflake, Experience with BigQuery, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics. At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits. Overview The Senior Data & Analytics Engineer will play a crucial role in helping our client organizations transform raw data into reliable, well-modeled assets that drive business decisions. This hybrid role bridges data engineering and analytics engineering — combining the infrastructure-building strengths of a data engineer with the transformation, modeling, and semantic layer expertise of an analytics engineer. Core responsibilities include Data Architecture Design, Data Modeling, ELT/ETL Development, Data Quality Assurance, and Scalability Optimization, with a strong emphasis on Databricks as the primary platform. Because our clients are mostly US-based organizations, we look for the ability to communicate with professional proficiency in English, verbally and in writing. Responsibilities Data & Analytics Engineering Expertise: You are responsible for building and maintaining the infrastructure and transformation layers that support the storing, movement, and modeling of data — enabling analysts, AI agents, and business stakeholders to confidently consume, interpret and take action. You will operate across both the data engineering and analytics engineering layers of the data stack, owning pipeline development and maintenance, as well as designing and building the resultant data models. Design, build, and maintain scalable data pipelines and ELT workflows, with Databricks as the primary platform Develop and maintain dbt models that are well-documented, tested, and structured for long-term maintainability Own data modeling decisions and methodology — defining entities, relationships, and grain — in collaboration with analytics and business stakeholders Consistently seek out and deliver on engagement-level vision, tasks, and problems Regularly delivers meaningful improvements to clients' data infrastructure and analytical capabilities Autonomous in approach and provides technical guidance to less experienced engineers Cross-Team Collaboration: You are responsible for collaborating with peers and other functional departments to develop and implement data strategies that support engagement goals and client needs. Collaborate with other data engineers and analytics engineers, data analysts, and clients on end-to-end data requirements Partner with clients and functional managers to plan for data engineering and modeling needs for product or feature launches Create processes and/or documentation templates that help cross-functional teams solve common data problems Drive data solution improvements that impact the client experience or empower internal stakeholders to do their jobs effectively Take initiative to identify, communicate, and solve important problems, coordinating with others on cross-cutting technical issues Project Delivery: You are responsible for ensuring that data engineering and analytics engineering projects are delivered on time, within scope, and within budget. Architect and design data systems and transformation layers using patterns that allow for iterative delivery and future scaling Proactively identify and address technical debt with careful evaluation of development cost Optimize for predictability and a regular cadence of deliverables Keep reliability, maintainability, and scalability of client systems top of mind Ability to identify and prioritize unowned or unglamorous work that enables the broader team to move faster Skills & Qualifications Proven experience as a Data Engineer, Analytics Engineer, or in a hybrid or generalist role, with a focus on designing and developing data pipelines and transformation layers Strong programming skills in Python and SQL Hands-on, deep expertise with Databricks — including Delta Lake, Unity Catalog, and Databricks workflows Strong proficiency with dbt for data transformation, testing, and documentation Demonstrated experience in data modeling — including dimensional modeling, entity-relationship design, and semantic layer development Deep knowledge of data warehousing and ELT/ETL processes Familiarity with data integration and orchestration platforms (e.g., Fivetran, Apache Airflow, Azure Data Factory) Experience with cloud platforms such as AWS, Azure, or Google Cloud Experience with other cloud data warehouses such as Snowflake or Motherduck is a plus Experience with streaming solutions such as Spark Streaming or Kafka is desirable but not required Familiarity with MLOps techniques and platforms is a plus but not required Strong analytical and problem-solving skills Excellent communication and collaboration skills Familiarity with leveraging coding assistants such as Claude Code, CoPilot, and/or Codex is a plus Physical Requirements Frequent sitting at a desk performing work on a computer Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Compensation Range: $160,000 - 175,000 annually Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role. Core Company Values Take the Long View - Ensure the company is built to last Be Courageous - Make the right decisions even when they aren't the easiest decisions Be Genuine - Bring honesty and authenticity to all that you do Work with Focus + Passion - Display purpose and pride in your work and never stop learning As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure. At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.", "summaryDescription" : "Senior Data and Analytics Engineer at Velir. Skills: Data engineering, Machine learning, Business intelligence, Analytics engineering. Design data pipelines. 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Matrixed organization", "domainKnowledge" : "Fan engagement; Lifecycle marketing", "domainList" : [ "fan-engagement", "lifecycle-marketing" ], "domainSpecificKnowledge" : [ "Fan engagement", "Lifecycle marketing" ], "toolProficiency" : [ "AWS Redshift", "Adobe Marketing Suite", "Power BI", "Tableau" ], "communicationSkills" : "Senior leader engagement; Technical partner communication", "specialRequirements" : "No relocation assistance", "qualificationsBasic" : "5+ years in data strategy, 5+ years in product ownership, 5+ years in technical leadership, Master’s degree or higher, SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "Advanced degree preferred, Experience with privacy and compliance standards, Experience with GDPR/CCPA, Experience with consent data management, Knowledge of sports or fan-focused businesses, Understanding of fan engagement, Understanding of lifecycle marketing, Experience with AWS Redshift, Experience with Adobe Marketing Suite, Experience with AEP, Experience with AEM, Experience with AJO, Experience with Power BI, Experience with Tableau, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking a highly motivated Manager, International Data advanced degree preferred. 5+ years in data strategy, product ownership, or technical leadership roles. Exposure to enterprise-scale data initiatives, including cloud data platforms, data lakes, and governance frameworks. Experience with privacy and compliance standards, including GDPR/CCPA and consent data management, is preferred. Knowledge of sports or fan-focused businesses, including an understanding of fan engagement and lifecycle marketing, is an advantage. Proven experience working with AWS Redshift, Adobe Marketing Suite (AEP, AEM, AJO), BI Tools like Power BI, Tableau in a production environment is a plus. Demonstrated track record of collaborating across cross-functional teams and influencing decisions in a matrixed organization without direct reporting authority. Excellent communication skills with a demonstrated ability to engage senior leaders, work effectively with technical partners, and motivate teams to achieve high performance. Other Key Attributes / Characteristics Master’s degree or higher in statistics, data science, computer science, or other data related fields Terms / Expected Hours of Work Limited Travel Salary / Pay Range This job posting contains a pay range, which represents the range of salaries or hourly rates that the NFL believes, in good faith, at the time of this posting that it might be willing to pay for the posted job in the location(s) specified. The NFL expects to hire for this position near the middle of the range. Only in truly rare and exceptional circumstances, where an external candidate has experience, credentials or expertise that far exceed those required or expected for the position, would the NFL consider paying a salary or rate near the higher end of the range. Salary $125,000—$160,000 USD Benefits Information To learn more about our comprehensive benefits offerings, please visit: NFL BENEFITS At the NFL, in-person work at our offices is a top priority because it allows us to collaborate more effectively, build stronger connections, and maintain the culture that drives our success. This role requires onsite presence at an NFL office or stadium location, and remote and/or hybrid working options are not offered. NO RELOCATION ASSISTANCE WILL BE PROVIDED. The NFL is committed to building an inclusive work environment that reflects our incredible fan base. We provide an environment of mutual respect where equal employment opportunities are available to all employees and applicants without regard to status as protected by applicable federal, state, and local laws. WHO WE ARE: NFL Core Values: Respect: Everyone matters. We celebrate diverse opinions, honor hard work, and value every contribution. Integrity: We do what's right, even when it's tough. We hold ourselves accountable and always follow through. Team Responsibility: We support each other and our communities. No one is bigger than the game, and every action impacts others. Resiliency: We set high standards, overcome adversity, and adapt to challenges, always striving for excellence. NFL Leadership Attributes: Build Talent: We develop and nurture potential, empowering individuals to grow and succeed. Execute: We take action with precision, delivering results that drive our goals forward. Inspire: We motivate others through vision, energy, and a commitment to excellence. Live Our Values: We embody our core principles in every decision and action. Know the Business: We stay informed, understand our industry, and make decisions that strengthen our position. Think Big: We challenge the status quo, envision bold possibilities, and strive for transformative impact WHO YOU ARE: Talent Attributes: What we expect for our employees: Embody an enthusiastic, proactive can-do attitude Embrace grit, free from ego or entitlement Excel as a relationship builder, with the ability to influence Eager learner, driven by passion rather than just ambition Encompasses an incredible work ethic with an agile mindset", "summaryDescription" : "Manager, International Data and Strategy at The National Football League. Skills: Data strategy, Product ownership, Technical leadership. Develop data strategy. 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"continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, SQL, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Kubernetes, Terraform, Kafka, Flink, Apache Beam, Lambda, Kinesis, Pub/Sub", "professionalSkills" : [ "Data strategy", "Data modeling", "Business intelligence", "Data governance", "ML systems engineering", "Product intelligence", "AI-powered services", "Data-driven decision-making", "Scalable data engineering", "AI/ML systems", "Cloud-based data architectures", "Real-time analytics", "ML/AI-driven solutions", "Client needs", "Data-as-a-product", "Data assets", "Real-time analytics", "AI-powered automation", 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"hardSkills" : [ { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Engineering, AI/ML Engineering, Data Strategy, Business Intelligence", "majorSkillsList" : [ "Data Engineering", "AI/ML Engineering", "Data Strategy", "Business Intelligence" ], "coreResponsibilities" : "Define and execute data and AI strategy, Lead cross-functional teams, Establish data-as-a-product principles, Drive innovation in real-time analytics, Partner with Product, Engineering, and Customer Success teams, Design and oversee high-scale, cloud-native data architectures, Implement highly available, fault-tolerant data pipelines, Lead data modeling initiatives, Work with engineering teams to embed AI-powered features, Drive observability, monitoring, and cost optimization, Oversee the development of ML/AI models, Implement MLOps best practices, Lead initiatives in AI-powered recommendations, Ensure bias-free, ethical AI practices, Build and manage BI tools, Develop product analytics frameworks, Implement embedded analytics solutions, Optimize reporting for SaaS metrics, Own data governance frameworks, Define and implement data lineage, Drive role-based access controls, Champion data democratization", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams; Customer Success teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "B2B SaaS; Cloud-native architecture; Multi-tenant SaaS; SaaS metrics; GDPR; SOC 2; PIPEDA; CCPA", "domainList" : [ "b2b-saas", "cloud-native-architecture", "multi-tenant-saas", "saas-metrics", "gdpr", "soc-2", "pipeda", "ccpa" ], "domainSpecificKnowledge" : [ "B2B SaaS", "Cloud-native architecture", "Multi-tenant SaaS", "SaaS metrics", "GDPR", "SOC 2", "PIPEDA", "CCPA" ], "toolProficiency" : [ "Collibra", "Informatica", "Alation", "Immuta", "JIRA" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Technical writing; API documentation; Architecture diagrams", "continuousLearning" : "Growth opportunities", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "10+ years of experience in data engineering, AI/ML, or analytics leadership roles, SQL proficiency, Master's or PhD in", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "MEET BENEVITY Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more! We are seeking a Director of Data and ML/AI Engineering to lead our data and AI technology strategy, architecture, and execution within our B2B SaaS Benevity Impact Platform. This role is pivotal in enabling data-driven decision-making, product intelligence, and AI-powered services and automation across our platform. The ideal candidate will have deep expertise in scalable data engineering, AI/ML systems and services, and cloud-based data architectures, with a track record of building highly available, real-time analytics, and ML/AI-driven solutions for SaaS platforms. This role will oversee data science, data modeling, business intelligence, governance, and ML/AI systems engineering, ensuring alignment with our client and business needs. What you’ll do: Leadership & Data Strategy - Define and execute the data and AI strategy for our SaaS platform, ensuring alignment with business objectives and customer needs. - Lead cross-functional teams across data engineering, AI/ML, BI, and governance to deliver scalable, high-impact solutions. - Establish data-as-a-product principles, ensuring data assets are secure, reusable, and monetizable within our platform. - Drive innovation in real-time analytics, AI-powered automation and intelligence for clients. - Partner with Product, Engineering, and Customer Success teams to enhance data-driven insights, reporting, and self-service analytics. Data Engineering & Platform Architecture - Design and oversee high-scale, cloud-native data architectures that support real-time streaming, data lakes / lakehouses, and enterprise warehousing. - Implement highly available, fault-tolerant data pipelines to process, store, and serve insights across the platform. - Lead data modeling initiatives to optimize data structures for analytics, ML training, and business reporting. - Work with engineering teams to embed AI-powered features into the SaaS platform, enabling smart automation, anomaly detection, and personalization. - Drive observability, monitoring, and cost optimization across our cloud-based data infrastructure. AI/ML Engineering & Data Science - Oversee the development of ML/AI models, ensuring they are scalable, explainable, and deployed effectively in production. - Implement MLOps best practices, including CI/CD for models, versioning, and real-time inference. - Lead initiatives in AI-powered recommendations, predictive analytics, NLP, and generative AI to enhance our product offerings. - Ensure bias-free, ethical AI practices and compliance with industry AI standards and regulations. Business Intelligence & Product Analytics - Build and manage BI tools, dashboards, and self-service analytics to provide real-time insights to clients and internal stakeholders. - Develop product analytics frameworks, tracking user behavior, adoption, and feature engagement. - Implement embedded analytics solutions that allow clients to gain actionable insights from their data. - Optimize reporting for SaaS metrics (MRR, ARR, churn, retention, LTV, NPS) and drive data-informed decision-making. Data Governance & Compliance - Own data governance frameworks, ensuring data privacy, security, and compliance (GDPR, SOC 2, PIPEDA, CCPA, etc.). - Define and implement data lineage, metadata management, and master data management (MDM) best practices. - Drive role-based access controls (RBAC, ABAC or ReBac) and ensure secure, auditable data sharing within our SaaS ecosystem. - Champion data democratization, enabling teams to access trusted, well-documented data. What you’ll bring: - 10+ years of experience in data engineering, AI/ML, or analytics leadership roles, ideally in B2B SaaS or cloud-based platforms - Strong expertise in scalable data architectures, ML/AI systems, and embedded analytics - Proven track record in leading high-performance teams, managing budgets, and delivering data-driven product innovations - Experience with multi-tenant SaaS data governance, compliance (SOC 2, GDPR, etc.), and customer-facing analytics - Familiarity with emerging AI trends, including LLMs, Generative AI, and responsible AI frameworks - Familiarity with SaaS product analytics and AI-powered automation use cases - Master’s or PhD in Computer Science, Data Science, AI/ML, or a related field is preferred Technical Skills & Expertise - Data & AI Stacks (Cloud-Native, SaaS-Optimized) - Data Engineering & Storage: BigQuery, Redshift, Delta Lake, Snowflake, Databricks - AI/ML Frameworks: Azure AI, TensorFlow, PyTorch, Hugging Face, MLflow, Vertex AI - MLOps & Pipelines: Kubeflow, SageMaker, Airflow, Feature Stores, DataRobot - BI & Analytics Tools: Looker, Power BI, Mode Analytics, Amplitude, Mixpanel - Data Governance & Security: Collibra, Informatica, Alation, Immuta - Cloud & DevOps: AWS (S3, Lambda, Kinesis), GCP (BigQuery, Pub/Sub), Kubernetes, Terraform - Programming: Python, SQL, Scala, Java - Streaming & Real-Time Data: Kafka, Flink, Apache Beam DISCOVER YOUR PURPOSE AT WORK We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more … Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose. If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become … It’s time to join Benevity. We’re so excited to meet you. WHERE WE WORK At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most. JOIN A COMPANY WHERE DEIB ISN’T A BUZZWORD Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams. We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine. That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity. Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.", "summaryDescription" : "Director, Data and AI Engineering at Benevity. Skills: Data Engineering, AI/ML Engineering, Data Strategy, Business Intelligence. Define and execute data and AI strategy. 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Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more! We are seeking a Director of Data and ML/AI Engineering to lead our data and AI technology strategy, architecture, and execution within our B2B SaaS Benevity Impact Platform. This role is pivotal in enabling data-driven decision-making, product intelligence, and AI-powered services and automation across our platform. The ideal candidate will have deep expertise in scalable data engineering, AI/ML systems and services, and cloud-based data architectures, with a track record of building highly available, real-time analytics, and ML/AI-driven solutions for SaaS platforms. This role will oversee data science, data modeling, business intelligence, governance, and ML/AI systems engineering, ensuring alignment with our client and business needs. What you’ll do: Leadership & Data Strategy - Define and execute the data and AI strategy for our SaaS platform, ensuring alignment with business objectives and customer needs. - Lead cross-functional teams across data engineering, AI/ML, BI, and governance to deliver scalable, high-impact solutions. - Establish data-as-a-product principles, ensuring data assets are secure, reusable, and monetizable within our platform. - Drive innovation in real-time analytics, AI-powered automation and intelligence for clients. - Partner with Product, Engineering, and Customer Success teams to enhance data-driven insights, reporting, and self-service analytics. Data Engineering & Platform Architecture - Design and oversee high-scale, cloud-native data architectures that support real-time streaming, data lakes / lakehouses, and enterprise warehousing. - Implement highly available, fault-tolerant data pipelines to process, store, and serve insights across the platform. - Lead data modeling initiatives to optimize data structures for analytics, ML training, and business reporting. - Work with engineering teams to embed AI-powered features into the SaaS platform, enabling smart automation, anomaly detection, and personalization. - Drive observability, monitoring, and cost optimization across our cloud-based data infrastructure. AI/ML Engineering & Data Science - Oversee the development of ML/AI models, ensuring they are scalable, explainable, and deployed effectively in production. - Implement MLOps best practices, including CI/CD for models, versioning, and real-time inference. - Lead initiatives in AI-powered recommendations, predictive analytics, NLP, and generative AI to enhance our product offerings. - Ensure bias-free, ethical AI practices and compliance with industry AI standards and regulations. Business Intelligence & Product Analytics - Build and manage BI tools, dashboards, and self-service analytics to provide real-time insights to clients and internal stakeholders. - Develop product analytics frameworks, tracking user behavior, adoption, and feature engagement. - Implement embedded analytics solutions that allow clients to gain actionable insights from their data. - Optimize reporting for SaaS metrics (MRR, ARR, churn, retention, LTV, NPS) and drive data-informed decision-making. Data Governance & Compliance - Own data governance frameworks, ensuring data privacy, security, and compliance (GDPR, SOC 2, PIPEDA, CCPA, etc.). - Define and implement data lineage, metadata management, and master data management (MDM) best practices. - Drive role-based access controls (RBAC, ABAC or ReBac) and ensure secure, auditable data sharing within our SaaS ecosystem. - Champion data democratization, enabling teams to access trusted, well-documented data. What you’ll bring: - 10+ years of experience in data engineering, AI/ML, or analytics leadership roles, ideally in B2B SaaS or cloud-based platforms - Strong expertise in scalable data architectures, ML/AI systems, and embedded analytics - Proven track record in leading high-performance teams, managing budgets, and delivering data-driven product innovations - Experience with multi-tenant SaaS data governance, compliance (SOC 2, GDPR, etc.), and customer-facing analytics - Familiarity with emerging AI trends, including LLMs, Generative AI, and responsible AI frameworks - Familiarity with SaaS product analytics and AI-powered automation use cases - Master’s or PhD in Computer Science, Data Science, AI/ML, or a related field is preferred Technical Skills & Expertise - Data & AI Stacks (Cloud-Native, SaaS-Optimized) - Data Engineering & Storage: BigQuery, Redshift, Delta Lake, Snowflake, Databricks - AI/ML Frameworks: Azure AI, TensorFlow, PyTorch, Hugging Face, MLflow, Vertex AI - MLOps & Pipelines: Kubeflow, SageMaker, Airflow, Feature Stores, DataRobot - BI & Analytics Tools: Looker, Power BI, Mode Analytics, Amplitude, Mixpanel - Data Governance & Security: Collibra, Informatica, Alation, Immuta - Cloud & DevOps: AWS (S3, Lambda, Kinesis), GCP (BigQuery, Pub/Sub), Kubernetes, Terraform - Programming: Python, SQL, Scala, Java - Streaming & Real-Time Data: Kafka, Flink, Apache Beam DISCOVER YOUR PURPOSE AT WORK We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more … Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose. If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become … It’s time to join Benevity. We’re so excited to meet you. WHERE WE WORK At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most. JOIN A COMPANY WHERE DEIB ISN’T A BUZZWORD Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams. We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine. That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity. Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.", "summaryDescription" : "Director, Data and AI Engineering at Benevity", "createdAt" : "2026-06-16T00:25:36.052", "lastUpdated" : "2026-06-16T11:55:49.932", "ingestTimestamp" : "2026-06-16T00:25:36.052", "mongoId" : "6a3074d9f292fd229c009d20", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "69cf3f062beec4dd3d9340ff", "title" : "Data and Analytics Architect", "company" : "ADCI HYD", "industry" : "Operations, IT, Support Engineering, Solution Architect, Cloud Computing", "salary" : { "min" : 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}, { "name" : "Data integration", "level" : "intermediate" } ], "majorSkills" : "Data architecture, AWS data services, Data platform design", "majorSkillsList" : [ "Data architecture", "AWS data services", "Data platform design" ], "coreResponsibilities" : "Lead design of data solutions, Lead implementation of data solutions, Lead support of data solutions, Architect data platforms using AWS, Define data ingestion patterns, Implement data ingestion patterns, Define data transformation patterns, Implement data transformation patterns, Define data storage patterns, Implement data storage patterns, Define semantic modeling patterns, Implement semantic modeling patterns, Define reporting patterns, Implement reporting patterns, Define analytics patterns, Implement analytics patterns, Design data pipelines, Optimize data pipelines, Design batch data processing, Optimize batch data processing, Design near real-time processing, Optimize near real-time processing, Design reporting architectures, Optimize reporting architectures, Ensure data quality, Ensure data governance, Ensure data security, Ensure operational controls, Work with business teams, Work with finance teams, Work with IT teams, Work with application teams, Design reliable data solutions, Design scalable data solutions, Develop architecture standards, Maintain architecture standards, Develop design documents, Maintain design documents, Develop data flow diagrams, Maintain data flow diagrams, Develop support procedures, Maintain support procedures, Monitor data pipelines, Monitor analytics platforms, Monitor reporting solutions, Drive corrective actions", "teamCollaboration" : "Business teams; Finance teams; IT teams; Application teams", "domainKnowledge" : "FinTech; SAP data; Finance reporting; Supply chain reporting; Enterprise operational reporting", "domainList" : [ "fintech", "sap-data", "finance-reporting", "supply-chain-reporting", "enterprise-operational-reporting" ], "domainSpecificKnowledge" : [ "FinTech", "SAP data", "Finance reporting", "Supply chain reporting", "Enterprise operational reporting" ], "documentationSkills" : "Design documents; Data flow diagrams", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "6+ years data engineering experience, 8+ years analytics experience, Experience designing scalable data pipelines, Experience designing cloud-based analytics solutions, Excellent analytical skills, Excellent problem-solving skills, Excellent stakeholder management skills, Ability to work independently, Ability to work as part of a team", "qualificationsPreferred" : "Knowledge of SAP data platforms, Experience with real-time data processing, Experience with event-driven data processing, Experience with data lake architecture, Experience with data warehouse architecture, Experience with hybrid analytics architecture, Experience with enterprise reporting, Experience with KPI frameworks, Experience with dashboard design, Knowledge of finance reporting domains, Knowledge of supply chain reporting domains, Knowledge of enterprise operational reporting domains, Experience leading data modernization initiatives, Experience leading cloud transformation initiatives", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced Data and Analytics Architect to join our team. The ideal candidate will be responsible for leading the design, implementation, and support of scalable data and analytics solutions on AWS, enabling trusted reporting, enterprise insights, and seamless integration across enterprise platforms. The primary focus of this role is AWS-based data engineering, analytics architecture, and modern data platform design, with SAP knowledge considered a strong advantage. Key job responsibilities * Lead the design, implementation, and support of enterprise data and analytics solutions on AWS. * Architect scalable data platforms using AWS services such as Amazon Redshift, Amazon S3, AWS Glue, Amazon Athena, Amazon QuickSuite, AWS Lambda, and related AWS data services. * Define and implement data ingestion, transformation, storage, semantic modeling, reporting, and analytics patterns across structured and semi-structured data sources. * Design and optimize enterprise data pipelines, batch and near real-time data processing, and reporting architectures. * Ensure data quality, governance, security, and operational controls are built into the platform architecture. * Work closely with business, finance, IT, and application teams to design reliable and scalable data solutions aligned with business requirements. * Develop and maintain architecture standards, design documents, data flow diagrams, and support procedures. * Monitor data pipelines, analytics platforms, and reporting solutions for failures, performance issues, and data quality concerns, and drive corrective actions. * Lead implementation, migration, modernization, and enhancement initiatives across data and analytics platforms. * Support integration with enterprise platforms, including SAP and non-SAP systems where required. Basic Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - 6+ years of data engineering, database engineering, business intelligence or business analytics experience - 8+ years of relevant experience in data engineering, analytics, data warehousing, or enterprise data platform implementation and support. - Experience designing scalable data pipelines and cloud-based analytics solutions across complex enterprise environments. - Excellent analytical, problem-solving, and stakeholder management skills, with the ability to work independently and as part of a team. Preferred Qualifications: - Knowledge of SAP data and analytics platforms such as SAP S/4HANA, BW, Datasphere, or SAC is good to have. - Experience with real-time or event-driven data processing patterns. - Experience with data lake, data warehouse, and hybrid analytics architecture patterns. - Experience with enterprise reporting, KPI frameworks, and dashboard design. - Knowledge of finance, supply chain, or enterprise operational reporting domains. - Experience leading data modernization or cloud transformation initiatives. 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 and Analytics Architect at ADCI HYD. Skills: Data architecture, AWS data services, Data platform design. Lead design of data solutions. 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(Ticker: APGE) is a well-funded, Nasdaq listed company that offers the opportunity to work in a fast-paced, highly dynamic environment. At Apogee, you can actively contribute to shaping the company culture, take on various roles and responsibilities, and grow professionally. Apogee Therapeutics is a clinical-stage biotechnology company advancing novel biologics with potential for differentiated efficacy and dosing in the largest I ensure accountability and high-quality deliverables. Lead vendor selection and contract input for DM-related services. People Leadership advanced degree preferred. 12+ years of experience in clinical data management within biotech, pharma, or CRO environments. Experience in both operational DM and systems/technology implementation. Demonstrated leadership of DM activities across multiple clinical trials and programs. Technical Expertise Deep knowledge of EDC systems (e.g., Medidata Rave). Strong understanding of CDISC standards (SDTM, CDASH) and data lifecycle. Experience with data integrations, external data (labs, imaging, biomarkers), and decentralized trial technologies. Familiarity with data visualization and analytics tools is a plus. Leadership & Competencies Proven ability to lead cross-functional teams and influence at the program level. Strong strategic thinking with hands-on execution capability. Excellent communication and stakeholder management skills. Experience in fast-paced, growing organizations preferred. Ability to bridge systems/technology with clinical execution. Strong ownership mindset over data quality and delivery timelines. Proactive, solutions-oriented approach to complex data challenges. Effective leadership in ambiguity and evolving clinical landscapes. The anticipated salary range for candidates for this role will be $215,000 - $245,000/year. The final salary offered will depend on several factors, which may include, but is not limited to relevant years of experience, educational background, and geography. What We Offer A great culture, grounded in our C.O.R. E. values: Caring, Original, Resilient and Egoless Opportunity to work in a fast-paced, highly dynamic environment where you help shape the culture and company, wear multiple hats, and learn quickly Market competitive compensation and benefits package, including base salary, performance bonus, equity grant opportunities, health, welfare & retirement benefits We provide competitive time off, including three weeks PTO, two one-week company-wide shutdowns a year and dedicated paid sick leave Commitment to growing you professionally and providing access to resources to further your development Apogee offers regular all team, in-person meetings to build relationships and problem solve E-Verify Participation: As part of the I9 verification of authorization to work in the US, Apogee participates in E-Verify. To learn more about E-Verify please review this poster. Apogee Therapeutics is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. To review our privacy policy, click here It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.", "summaryDescription" : "Director, Data Management and Systems at Apogee Therapeutics. Skills: Data management, Systems management, Machine learning, Business intelligence. Oversee data management systems. Ensure data integrity", "postedDate" : "2026-06-14T20:07:58.302", "createdAt" : "2026-06-14T20:07:58.302", "lastUpdated" : "2026-06-16T00:34:50.028", "ingestTimestamp" : "2026-06-14T20:07:58.302", "mongoId" : "6a2ca51974d8ee00a09b4ac2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 245000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data warehousing", "ETL processes", "Data modeling", "Database administration", "Cloud computing", "Statistical analysis", "Machine learning algorithms", "Data visualization", "A/B testing", "Causal inference", "Data management", "Systems management", "Machine learning", "Business intelligence", "Data engineering", "Data analytics", "Quantitative analysis", "Statistical modeling", "Genomics", "Drug discovery", "Clinical trials", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cecd374d8ee00a0a7c0a3", "title" : "Manufacturing Data Entry", "company" : "InsulTech", "industry" : "Manufacturing", "salary" : { "min" : 36000.0, "max" : 48000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Manufacturing Data Entry role in Yuma, United States, adjusted for industry and company size." }, "location" : "Yuma, AZ", "locations" : [ "Yuma", "AZ" ], "timestamp" : "2026-06-15T13:04:51.321", "fingerprint" : "1959659df457b848727ad7f24fdfde0964e083caee50ff777b7becd3c6242699", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://insultech.breezy.hr/p/d3670c62c42b-manufacturing-data-entry", "externalId" : "d3670c62c42b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Yuma", "state" : "Arizona", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7254216,-114.6198088" } ], "locationText" : "Yuma, Arizona, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning" ], "hardSkillsList" : [ "Data entry", "Accurate data entry" ], "hardSkills" : [ { "name" : "Data entry", "level" : "intermediate" }, { "name" : "Accurate data entry", "level" : "intermediate" } ], "majorSkills" : "Data entry, Production scheduling", "majorSkillsList" : [ "Data entry", "Production scheduling" ], "coreResponsibilities" : "Enter data accurately, Perform directed tasks", "teamCollaboration" : "Planning team", "domainKnowledge" : "Production schedules", "domainList" : [ "production-schedules" ], "domainSpecificKnowledge" : [ "Production schedules" ], "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Ensure production schedules are met", "qualificationsBasic" : "Energetic individual, Analytical individual, Detail-oriented individual", "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Responsibilities We are looking for an energetic, analytical, and detail-oriented individual to join our Planning team. This is a key role focused on accurate entry of data and performing directed tasks for the planning team. This team ensures production schedules are met and that any obstacl", "summaryDescription" : "Manufacturing Data Entry at InsulTech. Skills: Data entry, Production scheduling. Enter data accurately. Perform directed tasks", "createdAt" : "2026-06-14T01:12:44.912", "lastUpdated" : "2026-06-15T13:04:51.321", "ingestTimestamp" : "2026-06-14T01:12:44.912", "mongoId" : "6a2cecd374d8ee00a0a7c0a3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 36000, "salaryAnnualMax" : 48000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data entry", "Accurate data entry", "Production scheduling", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Production schedules" ], "skillCount" : 9, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2cb0de74d8ee00a09db551", "title" : "Senior Data and Platform Engineer", "company" : "Avantos", "industry" : "Engineering", "salary" : { "min" : 165000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on 2024-2025 market data for a Senior Data and Platform Engineer in New York, United States, with adjustments for seniority, company size, and the FinTech industry." }, "location" : "New York City", "locations" : [ "New York City" ], "timestamp" : "2026-06-16T01:43:36.688", "fingerprint" : "791ee05e9a932c88a1a3dc229ccc6d96b88ddb4135d2238f2514febf83289574", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/avantos/4b2dc531-155c-4d8a-97b7-d89e27a59c12/application", "externalId" : "4b2dc531-155c-4d8a-97b7-d89e27a59c12", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "New York, New York, United States; United States; Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Golang, SQL, Terraform, AWS, Python, Docker, Kubernetes, LLMs, RAG, Vector search", "professionalSkills" : [ "Backend system design", "API design", "Data modeling", "System design" ], "hardSkillsList" : [ "Data engineering", "Platform engineering", "Backend infrastructure" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Platform engineering", "level" : "intermediate" }, { "name" : "Backend infrastructure", "level" : "intermediate" } ], "majorSkills" : "Data platform, AI systems, Infrastructure", "majorSkillsList" : [ "Data platform", "AI systems", "Infrastructure" ], "coreResponsibilities" : "Design backend systems, Implement backend systems, Design data platform, Build data platform, Create scalable systems, Design data models, Design APIs, Make decisions about schemas, Make decisions about indexes, Make decisions about migrations, Make decisions about performance, Own infrastructure for data workloads, Own infrastructure for AI workloads, Enable self-serve data workflows, Improve observability, Improve reliability, Improve performance, Support AI/ML systems, Build tooling for document processing, Build tooling for metadata, Build tooling for normalization", "teamCollaboration" : "Engineering teams; Product teams", "domainKnowledge" : "Fintech; Regulated systems", "domainList" : [ "fintech", "regulated-systems" ], "domainSpecificKnowledge" : [ "Fintech", "Regulated systems" ], "toolProficiency" : [ "Terraform", "AWS", "Docker", "Kubernetes" ], "problemSolvingSkills" : "Performance; Reliability; Failure modes", "specialRequirements" : "Startup environment", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "SENIOR DATA & PLATFORM ENGINEER \uD83D\uDCCD NYC (HYBRID) OR US REMOTE | COMPETITIVE + EQUITY ABOUT AVANTOS Avantos is building the AI-native operating system for financial services — transforming fragmented data into a single, intelligent system that powers workflows, automation, and decision-making. We’re a product-led, fast-moving team at the intersection of AI, fintech, and modern infrastructure. THE ROLE We’re looking for a Senior Data & Platform Engineer to build the data and core platform and infrastructure layer that powers our AI systems. This is not just about pipelines — it’s about creating the systems, tooling, and abstractions that enable engineers and AI workflows to move fast, safely, and reliably. WHAT YOU’LL DO - Design and implement core backend systems and integrations that power the product. - Design and build our data platform (orchestration, pipelines, developer workflows) - Create scalable systems for data ingestion, transformation, and access - Design data models and APIs that won’t collapse under growth. - Make sane decisions about schemas, indexes, migrations, and performance. - Own infrastructure for data + AI workloads (containers, orchestration, cloud services) - Enable self-serve data workflows for engineering and product teams - Improve observability, reliability, and performance across the data stack - Support AI/ML systems (embeddings, vector data, model pipelines) - Build tooling for document processing, metadata, and normalization WHAT WE’RE LOOKING FOR - 7+ years in data engineering, platform engineering, or backend infrastructure - A track record of shipping and owning production systems. - Strong systems thinking (not just pipelines — platform mindset) - Backend system design and API design - Data modeling and relational databases - Performance, reliability, and failure modes - Proficiency in Golang, SQL, Terraform, AWS - Comfort in a fast-moving startup environment BONUS - LLMs / RAG, vector search, fintech or regulated systems - Have startup or early-stage experience. WHY JOIN - Build the foundation layer of an AI-native product - High ownership + direct impact - Work where data, platform, and AI converge THE FIT You’re someone who doesn’t just move data — you build the systems that make data usable at scale.", "summaryDescription" : "Senior Data and Platform Engineer at Avantos. Skills: Data platform, AI systems, Infrastructure. Design backend systems. Implement backend systems", "createdAt" : "2026-06-14T20:21:52.028", "lastUpdated" : "2026-06-16T01:43:36.688", "ingestTimestamp" : "2026-06-14T20:21:52.028", "mongoId" : "6a2cb0de74d8ee00a09db551", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data engineering", "Platform engineering", "Backend infrastructure", "Data platform", "AI systems", "Infrastructure", "Backend system design", "API design", "Data modeling", "System design", "Fintech", "Regulated systems", "Terraform", "AWS", "Docker", "Kubernetes" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb6779ea", "title" : "Intern for Testing for Drivability and 48V Operating Strategy", "company" : "Mercedes-Benz AG", "industry" : "Manufacturing", "salary" : { "min" : 21000.0, "max" : 27000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in the automotive industry in Sindelfingen, Germany, adjusted for seniority and company size." }, "location" : "Germany-Baden-Württemberg-Sindelfingen", "locations" : [ "Germany-Baden-Württemberg-Sindelfingen", "Bela-Barenyi-Str Tor 14, , Sindelfingen" ], "timestamp" : "2026-06-15T07:53:41.300", "fingerprint" : "5b0ea176de8f427c55132d1f2c05037521f8d1fea8baf378d3760026e1f439e4", "source" : "taleo", "language" : "de", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=889748", "externalId" : "889748", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sindelfingen", "state" : "Baden-Württemberg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.7084162,9.0035455" } ], "locationText" : "Sindelfingen, Baden-Württemberg, Germany", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, MATLAB, Canape, MDA", "professionalSkills" : [ "Test procedure conception", "Data evaluation", "Measurement data analysis", "Technical documentation", "Project reporting" ], "hardSkillsList" : [ "Powertrain simulation", "Automated data evaluation", "Measurement data analysis" ], "softSkillsList" : [ "Flexibility", "Commitment", "Willingness to learn", "Independent work" ], "hardSkills" : [ { "name" : "Powertrain simulation", "level" : "intermediate" }, { "name" : "Automated data evaluation", "level" : "intermediate" }, { "name" : "Measurement data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Flexibility" }, { "name" : "Commitment" }, { "name" : "Willingness to learn" }, { "name" : "Independent work" } ], "majorSkills" : "Drivability testing, Operating strategy development, Powertrain development", "majorSkillsList" : [ "Drivability testing", "Operating strategy development", "Powertrain development" ], "coreResponsibilities" : "Develop test procedures, Implement test procedures, Conceive evaluation tools, Develop evaluation tools, Program evaluation tools, Define test methodologies, Coordinate test methodologies, Analyze measurement data, Interpret measurement data, Identify optimization potentials, Support documentation creation, Support project reports", "teamCollaboration" : "Active participation day-to-day business", "domainKnowledge" : "Powertrain development; Drivability; Electrified powertrains; Hybridized powertrains; Automotive engineering; Internal combustion engines; Control engineering", "domainList" : [ "powertrain-development", "drivability", "electrified-powertrains", "hybridized-powertrains", "automotive-engineering", "internal-combustion-engines", "control-engineering" ], "domainSpecificKnowledge" : [ "Powertrain development", "Drivability", "Electrified powertrains", "Hybridized powertrains", "Automotive engineering", "Internal combustion engines", "Control engineering" ], "toolProficiency" : [ "MS Office" ], "communicationSkills" : "German language skills; English language skills", "documentationSkills" : "Technical documentation; Project reports", "continuousLearning" : "Willingness to learn", "innovationCreativity" : "Innovative evaluation tools", "problemSolvingSkills" : "Identify optimization potentials", "qualificationsBasic" : "Completed basic studies, Bachelor's degree, Very good German language skills, Very good English language skills, Proficient in Python, Proficient in MATLAB, Knowledge of automotive engineering, Knowledge of internal combustion engines, Knowledge of control engineering, MS Office proficiency, Driving license class B", "qualificationsPreferred" : "Affinity for programming", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "In powertrain development at Mercedes-Benz, we are leaders in shaping the mobility of tomorrow. A central focus is on drivability, which significantly influences the subjective driving experience – from spontaneous throttle response and smooth gear changes to a harmonious overall vehicle behavior. Simultaneously, through innovative operating strategies, we optimize the interaction of all powertrain components to ensure maximum efficiency, minimal emissions, and superior performance under all conditions. Our work is always close to the product, so our developments directly flow into the vehicles that will inspire our customers worldwide. To master these complex interrelationships and continuously improve them, we are looking for dedicated talents who want to tackle and overcome upcoming challenges with us. As an intern in our team, you will gain comprehensive insights into the forward-looking development of electrified and hybridized vehicle powertrains. You will be actively involved in current development projects to apply your theoretical knowledge directly in practice. Your main tasks will include the conception of test procedures, the development and further development of toolchains for automatic data evaluation, as well as fundamental measurement data analyses. Within these areas of responsibility, you will gain deep insights into the diverse activities of an engineer in powertrain development. Your Tasks: Development and implementation of test procedures in powertrain simulation environments using Python, for the validation of drivability and operating strategy scopes Conception, development, and programming of innovative evaluation tools and toolchains in MATLAB and Python, for the automated analysis and assessment of drivability and operating strategy Definition and coordination of test and evaluation methodologies in comparison with real test resources such as powertrain test benches or prototype vehicles In-depth analysis and interpretation of test bench, simulation, and vehicle measurement data using MATLAB, Canape, MDA, etc., to identify optimization potentials Support in the creation of technical documentation and project reports Active participation in day-to-day business This is a full-time position, limited to 6 months, and can start from mid-May 2026. Field of Study in Technical studies (e.g., Mechanical Engineering / Automotive Engineering / Electrical Engineering / Control Engineering / Mechatronics / Computer Science), completed basic studies / Bachelor's degree Very good German and English language skills, both written and spoken Profound programming knowledge in Python and MATLAB, knowledge in the areas of automotive engineering / internal combustion engines / control engineering, MS Office Communication skills, flexibility, commitment, affinity for programming, team spirit, willingness to learn, independent work Driving license class B Additional Information: We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, proof of mandatory internship if applicable, and proof of the standard period of study. Please remember to mark your documents as \"relevant for this application\" in the online form and observe the maximum file size of 5 MB. You can find further information on the hiring criteria here . Severely disabled applicants and applicants with equivalent status are welcome! The representative for severely disabled employees (sbv-sindelfingen@mercedes-benz.com) will gladly support you in the application process. HR Services will be happy to help you with any questions you may have about the application process. You can reach us by email at myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mon-Fri 10am-12pm & 1pm-3pm). Mercedes-Benz AG", "summaryDescription" : "Intern for Testing for Drivability and 48V Operating Strategy at Mercedes-Benz AG. Skills: Drivability testing, Operating strategy development, Powertrain development. Develop test procedures. Implement test procedures", "createdAt" : "2026-06-14T00:42:19.941", "lastUpdated" : "2026-06-15T07:53:41.300", "ingestTimestamp" : "2026-06-14T00:42:19.941", "mongoId" : "69ce5e3b9bc74574cb6779ea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Powertrain simulation", "Automated data evaluation", "Measurement data analysis", "Flexibility", "Commitment", "Willingness to learn", "Independent work", "Drivability testing", "Operating strategy development", "Powertrain development", "Test procedure conception", "Data evaluation", "Technical documentation", "Project reporting", "Drivability", "Electrified powertrains", "Hybridized powertrains", "Automotive engineering", "Internal combustion engines", "Control engineering", "MS Office" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.98 }, { "id" : "6a16291c58b93c861e95a08c", "title" : "Utility Data and Modeling Analyst", "company" : "HDR", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data adjusted for mid-seniority, Saint Louis Park city tier, and the engineering/consulting industry." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-16T02:46:45.498", "fingerprint" : "750234fde7fa9a6099369120843b7d86c965903252b6816af102bf9bdbb7676d", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=779912", "externalId" : "779912", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Saint Louis Park", "state" : "Minnesota", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.9475726,-93.3569023" } ], "locationText" : "Saint Louis Park, Minnesota, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Power Query, Pandas, Python, R, Plotly, Seaborn, Matplotlib", "professionalSkills" : [ "Data engineering", "Business intelligence", "Data science", "Organizational skills" ], "hardSkillsList" : [ "Data modeling" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Data modeling", "majorSkillsList" : [ "Data analysis", "Data modeling" ], "coreResponsibilities" : "Handle confidential information, Prioritize and handle multiple tasks, Manage various managers", "teamCollaboration" : "Employee-owned culture", "domainKnowledge" : "Utility data", "domainList" : [ "utility-data" ], "domainSpecificKnowledge" : [ "Utility data" ], "toolProficiency" : [ "MS Office", "Power BI", "Tableau" ], "communicationSkills" : "Grammar; Punctuation; Proofreading; Spelling; Telephone skills", "qualificationsBasic" : "Degree in closely related field or education/experience combination, Proficiency with MS Office, Proficiency with data engineering tools and languages, Proficiency with business intelligence tools, Proficiency with data science languages, Ability to handle confidential information, Excellent writing and people skills, Math and organizational skills, Flexibility and ability to prioritize, Handle multiple tasks and various managers, Excellent verbal and written communication skills, Commitment to being an active participant of employee-owned culture", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Required Qualifications A degree in a closely related field or combination of education and relevant experience Self-motivated, detail-oriented professional, ability to multitask a must Proficiency with MS Office including Word and Outlook Proficiency with data engineering tools and languages such as SQL, Power Query, and Pandas Proficiency with business intelligence tools such as Power BI, Tableau, Plotly, Seaborn, and Matplotlib Proficiency with data science languages such as Python and R Ability to handle confidential information Excellent writing and people skills Strong math and organizational skills Flexibility and ability to prioritize and handle multiple tasks and various managers in a fast-paced environment Excellent verbal and written communication skills including grammar, punctuation, proofreading, spelling and telephone skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Minnesota-Saint Louis Park", "summaryDescription" : "Utility Data and Modeling Analyst at HDR. Skills: Data analysis, Data modeling. Handle confidential information. Prioritize and handle multiple tasks", "createdAt" : "2026-06-14T21:31:19.547", "lastUpdated" : "2026-06-16T02:46:45.498", "ingestTimestamp" : "2026-06-14T21:31:19.547", "mongoId" : "6a16291c58b93c861e95a08c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Data analysis", "Data engineering", "Business intelligence", "Data science", "Organizational skills", "Utility data", "MS Office", "Power BI", "Tableau" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.92 }, { "id" : "6a191e7758b93c861e39f69b", "title" : "VAN Complete Seats Design & Development", "company" : "MBRDI", "industry" : "Manufacturing", "salary" : { "min" : 1200000.0, "max" : 2000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for mid-seniority automotive engineers in Pune, India, adjusted for company size and industry." }, "location" : "India-Maharashtra-Pune", "locations" : [ "India-Maharashtra-Pune", "5th & 6th Floor, Wing B, Building Congo, Block 1.3, , Pune" ], "timestamp" : "2026-06-15T22:47:17.200", "fingerprint" : "2013b6d93ec77a2bc9c72ef46b5148428ea58c4ddea1010455454eb8f23e8bdd", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=895871", "externalId" : "895871", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "state" : "Maharashtra", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Pune, Maharashtra, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "UG NX", "professionalSkills" : [ "Analytical thinking", "Problem solving", "Creative thinking" ], "hardSkillsList" : [ "Seat design", "Seat development", "Product lifecycle management", "Product validation", "Engineering change management" ], "hardSkills" : [ { "name" : "Seat design", "level" : "intermediate" }, { "name" : "Seat development", "level" : "intermediate" }, { "name" : "Product lifecycle management", "level" : "intermediate" }, { "name" : "Product validation", "level" : "intermediate" }, { "name" : "Engineering change management", "level" : "intermediate" } ], "majorSkills" : "Seat design, Seat development, Product lifecycle management", "majorSkillsList" : [ "Seat design", "Seat development", "Product lifecycle management" ], "coreResponsibilities" : "Execute seat development activities with suppliers, Prepare timelines for seat development, Monitor timelines for seat development, Collaborate with cross-functional teams, Meet quality requirements, Meet assembly requirements, Meet functional requirements, Coordinate with suppliers for functional development, Coordinate with suppliers for product maturity, Execute Engineering Change Requests, Support complete seat development, Support design, Support validation, Support launch execution, Support post-production support", "teamCollaboration" : "Cross-functional teams; Suppliers; Design teams; Purchasing teams; Quality teams; Production teams; Controlling teams; International stakeholders", "projectManagementSkills" : [ "Timeline management", "Engineering change management" ], "domainKnowledge" : "Automotive seating systems; Foam; Plastic; Structure; Seat covers; Comfort elements; Automotive regulations; Product maturity", "domainList" : [ "automotive-seating-systems", "foam", "plastic", "structure", "seat-covers", "comfort-elements", "automotive-regulations", "product-maturity" ], "domainSpecificKnowledge" : [ "Automotive seating systems", "Foam", "Plastic", "Structure", "Seat covers", "Comfort elements", "Automotive regulations", "Product maturity" ], "toolProficiency" : [ "UG NX" ], "continuousLearning" : "Learning opportunities", "innovationCreativity" : "Out-of-the-box solutions", "problemSolvingSkills" : "Analytical thinking; Problem-solving skills", "outcomesObjectives" : "Secure project milestones", "qualificationsBasic" : "Relevant experience in automotive complete seat design, Product knowledge of automotive seating systems, Experience in full product lifecycle management, Working experience in UG NX, Understanding of basic engineering processes, Analytical thinking skills, Problem-solving skills, Interpersonal skills to work with suppliers, Ability to think creatively", "qualificationsPreferred" : "Experience in automotive seating systems, Experience in complete seat development, Exposure to global product validation standards, Exposure to global regulations, Experience working with suppliers, Experience working with international cross-functional stakeholders, Coordination skills for product maturity, Coordination skills for launch readiness, Coordination skills for engineering change management", "remoteFriendly" : false, "rawDescription" : "bout MBRDI: Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. Key Responsibilities: • Execute seat development activities with suppliers to secure project milestones. • Prepare and monitor timelines for seat development activities in coordination with suppliers. • Collaborate with cross-functional teams including Design, Purchasing, Quality, Production, and Controlling to meet quality, assembly, and functional requirements. • Coordinate closely with suppliers for functional development and product maturity. • Execute Engineering Change Requests as per project requirements. • Support complete seat development from design and validation to launch execution and post-production support. Required Skills and Experience: • Relevant experience in automotive complete seat design and development. • Strong product knowledge of automotive seating systems including foam, plastic, structure, seat covers, comfort elements, and related components. • Experience in full product lifecycle management, including concept generation, design and development, product validation as per global regulations, product launch execution, and post-production support. • Working experience in UG NX. • Strong understanding of basic engineering processes, analytical thinking, and problem-solving skills. • Strong interpersonal skills to work effectively with suppliers and cross-functional teams. • Ability to think creatively and provide out-of-the-box solutions. Educational Qualifications: • Bachelor’s / Master’s degree in Mechanical Engineering, Automobile Engineering, or a related discipline. • Preferred qualifications: B.Tech / B.E. / M.Tech / M.E. in Mechanical or Automobile Engineering. Preferred Qualifications / Good to Have: • Experience in automotive seating systems and complete seat development. • Exposure to global product validation standards and regulations. • Experience working with suppliers and international cross-functional stakeholders. • Strong coordination skills for product maturity, launch readiness, and engineering change management. Why Join Us? • Be part of a purpose-driven organization that’s shaping the future of mobility. • Work on cutting-edge technologies and global automotive projects. • Thrive in a collaborative, diverse, and inclusive environment. • Access world-class infrastructure and learning opportunities. Equal Opportunity Statement: At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "VAN Complete Seats Design & Development at MBRDI. Skills: Seat design, Seat development, Product lifecycle management. Execute seat development activities with suppliers. Prepare timelines for seat development", "createdAt" : "2026-06-14T21:57:51.435", "lastUpdated" : "2026-06-15T22:47:17.200", "ingestTimestamp" : "2026-06-14T21:57:51.435", "mongoId" : "6a191e7758b93c861e39f69b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Seat design", "Seat development", "Product lifecycle management", "Product validation", "Engineering change management", "Analytical thinking", "Problem solving", "Creative thinking", "Timeline management", "Automotive seating systems", "Foam", "Plastic", "Structure", "Seat covers", "Comfort elements", "Automotive regulations", "Product maturity", "UG NX" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a48ed74d8ee00a05e2b14", "title" : "Medical Claims and Billing Specialist", "company" : "Boulder Care", "industry" : "Healthcare", "salary" : { "min" : 54080.0, "max" : 60320.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boulder Care Remote", "locations" : [ "Boulder Care Remote" ], "timestamp" : "2026-06-14T08:44:06.379", "fingerprint" : "f0fd05a090394d3696231ba5b2c3bca96f4094d36b210328eaa5be0c03839092", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/bouldercare/jobs/5253163008", "externalId" : "5253163008", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Serve team and customer at high level, Demonstrate problem-solving skills, Demonstrate analytical skills, Demonstrate high ethical standards, Maintain composure under pressure, Regularly demonstrate Boulder’s core values", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "qualificationsPreferred" : "Multiple payers experience, Payment plans experience, Financial assistance applications experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Boulder Boulder Care is an award-winning digital clinic for addiction medicine, recognized for both innovation and high quality of patient care. Founded in 2017 by CEO Stephanie Strong, our mission is to improve the lives of people with substance use disorders through compassionate, evidence-based care. We provide Boulder patients with a fully virtual, multidisciplinary care team—including medical providers and peer recovery specialists—who deliver personalized treatment, including medication-assisted treatment (MAT) and ongoing support. Our approach is grounded in clinical excellence, patient-centered care, and a commitment to reducing barriers to recovery. Boulder partners with leading health plans, employers, and community organizations to ensure that our services are accessible and covered for the people who need them most. Named by Fortune as one of the Best Workplaces in Healthcare, Boulder fosters a culture of kindness, respect, and meaningful work that delivers outstanding patient outcomes and moves the addiction medicine industry forward. About this role Boulder Care is seeking a Medical Claims effective collaboration. Serves both the team and the customer at a consistently high level Demonstrates problem-solving and analytical skills appropriate for the position Demonstrates high ethical standards of behavior Maintains composure under pressure Regularly demonstrates Boulder’s core values Nice to have but not required Experience with multiple payers Experience with payment plans and financial assistance applications Work environment This is a fully remote role but we are currently only hiring candidates located in the following states: AZ, FL, GA, ID, IL, KY, MA, NC, NJ, NV, NY, OH, OR, PA, SC, TN, TX, UT, WA, and WV. Applicants must reside and work in one of those states to be considered. Boulder Care employees are free to use our river-front HQ located in Portland, OR whenever they would like Expected hours of work This is a full-time remote position expected to work 40 hours between Monday-Friday with an 8:30am start time, wiggle room 30 min each way. Compensation The starting pay range for this position is $26 - $29 per hour; base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave). Hiring Timeline Phone interview - 30 min Panel interview - 60 min video Anticipated start date - late June or early July 2026 NOTE: As part of our hiring process, all final candidates will be required to undergo background checks and provide professional references. By applying, you acknowledge and consent to these checks, which may include employment history, criminal records, education/licensing verification, and professional references. We are committed to transparency and confidentiality throughout this process and will inform you in advance should any further information be required. Some of Boulder’s amazing benefits for regular, full-time employees Contribution to meaningful, life-saving work! Comprehensive medical, dental, vision, and short-term disability benefits designed to take care of our employees and their families Mental Health Services via Cigna, Doctors on Demand, and EAP for continuous care 4 weeks of vacation accrued per calendar year with a tenured increase to 5 weeks at 2 years of employment Sick leave accrued at 1 hr for every 30 hrs paid 9 Paid Holidays per year 12 weeks of 100% paid parental leave for the birth or adoption of a child (after 6 months of employment) 401(k) retirement savings Remote friendly with hardware provided to complete your work duties Our values Patients always come first Our opportunity is also our duty Move the industry forward, follow the data Facts to change minds, empathy to change hearts Turn bold ideas into even bolder action Strong individuals, stronger together Boulder Care recognizes the value that lived experience can provide to our organization, community, and patients. Applicants with lived experience and/or training as a peer recovery specialist are encouraged to apply. Boulder Care believes the people who manage our product and team should be representative of those who use the platform. This includes people from backgrounds that are historically underrepresented in the industry. We celebrate differences and are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, citizenship, marital status, disability, gender identity or veteran status. If you are a qualified person with a passion for what we do, please apply!", "summaryDescription" : "Medical Claims and Billing Specialist at Boulder Care. Serve team and customer at high level. Demonstrate problem-solving skills", "postedDate" : "2026-06-11T20:14:25.174", "createdAt" : "2026-06-11T20:14:25.174", "lastUpdated" : "2026-06-14T08:44:06.379", "ingestTimestamp" : "2026-06-11T20:14:25.174", "mongoId" : "6a2a48ed74d8ee00a05e2b14", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 54080, "salaryAnnualMax" : 60320, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "other", "jobSubcategory" : "revenue-cycle", "dataQualityScore" : 0.7777778, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare" }, { "id" : "6a191e7758b93c861e39f69a", "title" : "VAN Complete Seats Design & Development", "company" : "MBRDI", "industry" : "Manufacturing", "salary" : { "min" : 1200000.0, "max" : 2000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for mid-seniority automotive engineers in Pune, India, adjusted for company size and industry." }, "location" : "India-Maharashtra-Pune", "locations" : [ "India-Maharashtra-Pune", "5th & 6th Floor, Wing B, Building Congo, Block 1.3, , Pune" ], "timestamp" : "2026-06-16T01:20:13.496", "fingerprint" : "4f1806cc70bc26395f95705e3998160e14ae58b854548cfeb814675b31b0b208", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=895843", "externalId" : "895843", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "state" : "Maharashtra", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Pune, Maharashtra, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "UG NX", "professionalSkills" : [ "Analytical thinking", "Problem-solving", "Interpersonal skills", "Creative thinking" ], "hardSkillsList" : [ "Seat development", "Product lifecycle management", "Product validation", "Engineering change management" ], "hardSkills" : [ { "name" : "Seat development", "level" : "intermediate" }, { "name" : "Product lifecycle management", "level" : "intermediate" }, { "name" : "Product validation", "level" : "intermediate" }, { "name" : "Engineering change management", "level" : "intermediate" } ], "majorSkills" : "Seat development, Product lifecycle management, UG NX", "majorSkillsList" : [ "Seat development", "Product lifecycle management", "UG NX" ], "coreResponsibilities" : "Execute seat development activities with suppliers, Prepare seat development timelines, Monitor seat development timelines, Collaborate with cross-functional teams, Meet quality requirements, Meet assembly requirements, Meet functional requirements, Coordinate with suppliers for functional development, Coordinate with suppliers for product maturity, Execute Engineering Change Requests, Support complete seat development, Support design, Support validation, Support launch execution, Support post-production support", "teamCollaboration" : "Cross-functional teams; Suppliers; Design teams; Purchasing teams; Quality teams; Production teams; Controlling teams; International stakeholders", "projectManagementSkills" : [ "Timeline management", "Engineering change management" ], "domainKnowledge" : "Automotive seating systems; Foam; Plastic; Structure; Seat covers; Comfort elements; Global regulations", "domainList" : [ "automotive-seating-systems", "foam", "plastic", "structure", "seat-covers", "comfort-elements", "global-regulations" ], "domainSpecificKnowledge" : [ "Automotive seating systems", "Foam", "Plastic", "Structure", "Seat covers", "Comfort elements", "Global regulations" ], "toolProficiency" : [ "UG NX" ], "continuousLearning" : "Learning opportunities", "innovationCreativity" : "Out-of-the-box solutions", "problemSolvingSkills" : "Analytical thinking; Problem-solving skills", "outcomesObjectives" : "Secure project milestones", "qualificationsBasic" : "Automotive complete seat design and development experience, Product knowledge of automotive seating systems, Experience in full product lifecycle management, Working experience in UG NX, Understanding of basic engineering processes, Analytical thinking skills, Problem-solving skills, Interpersonal skills to work with suppliers, Interpersonal skills to work with cross-functional teams, Ability to think creatively, Ability to provide out-of-the-box solutions, Bachelor’s / Master’s degree in Mechanical Engineering, Bachelor’s / Master’s degree in Automobile Engineering, Bachelor’s / Master’s degree in a related discipline", "qualificationsPreferred" : "B. Tech / B. E. in Mechanical or Automobile Engineering, M. Tech / M. E. in Mechanical or Automobile Engineering, Experience in automotive seating systems, Experience in complete seat development, Exposure to global product validation standards, Exposure to global product validation regulations, Experience working with suppliers, Experience working with international cross-functional stakeholders, Coordination skills for product maturity, Coordination skills for launch readiness, Coordination skills for engineering change management", "remoteFriendly" : false, "rawDescription" : "About MBRDI: Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. Key Responsibilities: • Execute seat development activities with suppliers to secure project milestones. • Prepare and monitor timelines for seat development activities in coordination with suppliers. • Collaborate with cross-functional teams including Design, Purchasing, Quality, Production, and Controlling to meet quality, assembly, and functional requirements. • Coordinate closely with suppliers for functional development and product maturity. • Execute Engineering Change Requests as per project requirements. • Support complete seat development from design and validation to launch execution and post-production support. Required Skills and Experience: • Relevant experience in automotive complete seat design and development. • Strong product knowledge of automotive seating systems including foam, plastic, structure, seat covers, comfort elements, and related components. • Experience in full product lifecycle management, including concept generation, design and development, product validation as per global regulations, product launch execution, and post-production support. • Working experience in UG NX. • Strong understanding of basic engineering processes, analytical thinking, and problem-solving skills. • Strong interpersonal skills to work effectively with suppliers and cross-functional teams. • Ability to think creatively and provide out-of-the-box solutions. Educational Qualifications: • Bachelor’s / Master’s degree in Mechanical Engineering, Automobile Engineering, or a related discipline. • Preferred qualifications: B.Tech / B.E. / M.Tech / M.E. in Mechanical or Automobile Engineering. Preferred Qualifications / Good to Have: • Experience in automotive seating systems and complete seat development. • Exposure to global product validation standards and regulations. • Experience working with suppliers and international cross-functional stakeholders. • Strong coordination skills for product maturity, launch readiness, and engineering change management. Why Join Us? • Be part of a purpose-driven organization that’s shaping the future of mobility. • Work on cutting-edge technologies and global automotive projects. • Thrive in a collaborative, diverse, and inclusive environment. • Access world-class infrastructure and learning opportunities. Equal Opportunity Statement: At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "VAN Complete Seats Design & Development at MBRDI. Skills: Seat development, Product lifecycle management, UG NX. Execute seat development activities with suppliers. 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Our mission is to deliver the highest quality therapy to help our early learners reach their potential to communicate, improve social skills, and prepare for academic success. The children we serve are at the heart of everything we do and we are passionate about our commitment to having a meaningful impact in the lives of our children and their families. Please include a cover letter so we can get to know you better and understand why you believe you will be a good fit for our team! Applications submitted without a cover letter will not be considered. Job Summary: We are looking for an Entry-Level Insurance & Revenue Cycle Analyst who can support a variety of needs within the company's insurance and billing department. The department is responsible for ensuring that all clients are authorized for therapeutic services, all clinicians and center locations are credentialed with insurance payors, and is responsible for maintaining a healthy revenue cycle and cash flow. Candidates for this role should expect to assist with the insurance and billing process at all stages and provide overall support for the families we serve. Our ideal candidate has extremely strong attention to detail in addition to being professional, energetic, organized and driven. Ally Behavior is a dynamic, fun, and rewarding place to work that offers superior growth and leadership opportunities in a supportive, engaging environment. We have a unique and collaborative culture that is driven by our diverse team of professionals and our core values of Serving Others, Treatment Excellence, All One Ally, Resourceful in Finding Solutions, and Striving to Grow. Our comprehensive onboarding and training approach will support and prepare you to help us provide the best possible service to our clients! Your Day-to-Day Responsibilities: Verifying medical health benefits and eligibility Submitting pre-authorization for ABA, SLP, and OT services Submitting credentialing applications to insurance companies Submitting demographic information to insurance companies Posting and reconciling payments in our Practice Management System Auditing Accounts Receivables Conducting follow-up calls with insurance companies Following up on claims Billing clients for Patient Responsibility and reconciling payments with our Practice Management System Taking and documenting detailed notes Data entry and categorization Other tasks and duties as assigned Required Qualifications: Bachelor's Degree required Experience with accounts receivables,insurance claims or other relevant work Familiarity with health insurance and billing Fantastic collaboration and interpersonal skills Comfortability speaking with insurance representatives over the phone Diligence and thorough work when moving throughout the insurance process Keen attention to detail, excellent organizational and problem solving skills Must be able to pass MD/VA state and FBI background check in addition to a sex offender background check What You Will Bring: You have the ability to juggle multiple projects at a time You have the ability to work in a fast-paced, always changing environment, and are willing to do whatever is needed to achieve our company's mission You've finished your Bachelor's and did well in school. What you studied isn't all that important to us. Maybe it's healthcare administration, maybe it's basket weaving You demonstrate strong and fluent written and oral communication skills. This should shine through in your cover letter - show us your style and professionalism You are compassionate and have a high EQ - we work with families who have children with developmental delays. You take pride in excellent customer service and patient experience You like to work really hard and aren't just collecting a paycheck and letting the time pass. Excellent performance and building something special is what you find most fulfilling in life. If you have a project on your plate, you won't stop just because it's 5pm You are self-motivated and want to move up and grow with our ever-expanding company You have varied interests and passions that you can dive deeply into. Maybe you love Russian Literature, minored in it in school, and are part of a local book club with some like-minded friends What We Offer When Joining Our Team: Salaried, full-time position Quarterly bonuses based on clinic performance Guaranteed semi-monthly paycheck (24) Company-sponsored DashPass 18 days of paid time off 9 paid holidays (5 set days + 4 \"floating\" holidays) Professional development opportunities Medical +HSA, Dental, and Vision coverage through Cigna Up to $9,000 in post-maternity childcare assistance 401(k) plan with company match. Employee Assistance Program Short-Term Disability, Term-Life/AD&D Insurance, Critical Illness with Cancer Insurance, Accident Insurance, Hospital Confinement Insurance, and Pet Insurance Pay Range $50,000—$60,000 USD Note: This position is NOT eligible for Visa sponsorship. Ally Behavior is an equal opportunity employer. In compliance with Federal and State Equal Opportunity Laws, qualified applicants are considered for all positions applied for without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, veteran status or any other legally protected status. Your personal information will be used for recruitment purposes only and handled in accordance with applicable privacy laws.", "summaryDescription" : "Entry-Level Insurance and Revenue Cycle Analyst at Ally Behavior Centers. Skills: Insurance verification, Revenue cycle, Billing, Claim follow-up. Verify medical health benefits. 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"min" : 1200000.0, "max" : 2000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-seniority Automotive Design & Development role in Pune, India, adjusted for company size and industry." }, "location" : "India-Maharashtra-Pune", "locations" : [ "India-Maharashtra-Pune", "5th & 6th Floor, Wing B, Building Congo, Block 1.3, , Pune" ], "timestamp" : "2026-06-16T05:02:42.949", "fingerprint" : "450c2d81532413229176df23e034d807caccdbc284ee6230c5ebe097a9c9da51", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=895871", "externalId" : "895871", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "state" : "Maharashtra", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Pune, Maharashtra, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "UG NX", "professionalSkills" : [ "Analytical thinking", "Problem-solving", "Creative thinking" ], "hardSkillsList" : [ "Seat design", "Seat development", "Product lifecycle management", "Product validation", "Engineering change management" ], "hardSkills" : [ { "name" : "Seat design", "level" : "intermediate" }, { "name" : "Seat development", "level" : "intermediate" }, { "name" : "Product lifecycle management", "level" : "intermediate" }, { "name" : "Product validation", "level" : "intermediate" }, { "name" : "Engineering change management", "level" : "intermediate" } ], "majorSkills" : "Seat development, Product lifecycle management, UG NX", "majorSkillsList" : [ "Seat development", "Product lifecycle management", "UG NX" ], "coreResponsibilities" : "Execute seat development activities with suppliers, Prepare and monitor timelines for seat development, Collaborate with cross-functional teams, Coordinate with suppliers for functional development, Coordinate with suppliers for product maturity, Execute Engineering Change Requests, Support complete seat development, Support design and validation, Support launch execution, Support post-production support", "teamCollaboration" : "Cross-functional teams; Suppliers; Design teams; Purchasing teams; Quality teams; Production teams; Controlling teams; International stakeholders", "projectManagementSkills" : [ "Timeline monitoring", "Engineering change management" ], "domainKnowledge" : "Automotive seating systems; Foam; Plastic; Structure; Seat covers; Comfort elements; Global regulations", "domainList" : [ "automotive-seating-systems", "foam", "plastic", "structure", "seat-covers", "comfort-elements", "global-regulations" ], "domainSpecificKnowledge" : [ "Automotive seating systems", "Foam", "Plastic", "Structure", "Seat covers", "Comfort elements", "Global regulations" ], "toolProficiency" : [ "UG NX" ], "innovationCreativity" : "Out-of-the-box solutions", "problemSolvingSkills" : "Analytical thinking; Problem-solving skills", "outcomesObjectives" : "Secure project milestones; Meet quality requirements; Meet assembly requirements; Meet functional requirements", "qualificationsBasic" : "Relevant experience in automotive complete seat design, Product knowledge of automotive seating systems, Experience in full product lifecycle management, Working experience in UG NX, Understanding of basic engineering processes, Analytical thinking, Problem-solving skills, Interpersonal skills, Ability to think creatively", "qualificationsPreferred" : "Experience in automotive seating systems, Experience in complete seat development, Exposure to global product validation standards, Exposure to global regulations, Experience working with suppliers, Experience working with international cross-functional stakeholders, Coordination skills for product maturity, Coordination skills for launch readiness, Coordination skills for engineering change management, B. Tech / B. E. / M. Tech / M. E. in Mechanical or Automobile Engineering", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "bout MBRDI: Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. Key Responsibilities: • Execute seat development activities with suppliers to secure project milestones. • Prepare and monitor timelines for seat development activities in coordination with suppliers. • Collaborate with cross-functional teams including Design, Purchasing, Quality, Production, and Controlling to meet quality, assembly, and functional requirements. • Coordinate closely with suppliers for functional development and product maturity. • Execute Engineering Change Requests as per project requirements. • Support complete seat development from design and validation to launch execution and post-production support. Required Skills and Experience: • Relevant experience in automotive complete seat design and development. • Strong product knowledge of automotive seating systems including foam, plastic, structure, seat covers, comfort elements, and related components. • Experience in full product lifecycle management, including concept generation, design and development, product validation as per global regulations, product launch execution, and post-production support. • Working experience in UG NX. • Strong understanding of basic engineering processes, analytical thinking, and problem-solving skills. • Strong interpersonal skills to work effectively with suppliers and cross-functional teams. • Ability to think creatively and provide out-of-the-box solutions. Educational Qualifications: • Bachelor’s / Master’s degree in Mechanical Engineering, Automobile Engineering, or a related discipline. • Preferred qualifications: B.Tech / B.E. / M.Tech / M.E. in Mechanical or Automobile Engineering. Preferred Qualifications / Good to Have: • Experience in automotive seating systems and complete seat development. • Exposure to global product validation standards and regulations. • Experience working with suppliers and international cross-functional stakeholders. • Strong coordination skills for product maturity, launch readiness, and engineering change management. Why Join Us? • Be part of a purpose-driven organization that’s shaping the future of mobility. • Work on cutting-edge technologies and global automotive projects. • Thrive in a collaborative, diverse, and inclusive environment. • Access world-class infrastructure and learning opportunities. Equal Opportunity Statement: At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "VAN Complete Seats Design & Development at MBRDI. Skills: Seat development, Product lifecycle management, UG NX. Execute seat development activities with suppliers. Prepare and monitor timelines for seat development", "createdAt" : "2026-06-14T18:52:09.323", "lastUpdated" : "2026-06-16T05:02:42.949", "ingestTimestamp" : "2026-06-14T18:52:09.323", "mongoId" : "6a18111858b93c861e08d6d4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Seat design", "Seat development", "Product lifecycle management", "Product validation", "Engineering change management", "UG NX", "Analytical thinking", "Problem-solving", "Creative thinking", "Timeline monitoring", "Automotive seating systems", "Foam", "Plastic", "Structure", "Seat covers", "Comfort elements", "Global regulations" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6ad274d8ee00a090e513", "title" : "PaintCare Program Coordinator for Maine and Vermont", "company" : "American Coatings Association & PaintCare", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Environmental Services in Bulgaria, adjusted for mid-seniority and remote work." }, "location" : "United States", "locations" : [ "VT", "US" ], "timestamp" : "2026-06-15T21:22:12.600", "fingerprint" : "0f022649b7a9ec85ee76e0df798684ed028300034b802f3b2ae27d0dd9940c1c", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://american-coatings-association.breezy.hr/p/c7f1854b3cc3-paintcare-program-coordinator-for-maine-and-vermont", "externalId" : "c7f1854b3cc3", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Assist with administering paint stewardship program, Coordinate program activities in-field", "domainKnowledge" : "Paint stewardship program", "domainList" : [ "paint-stewardship-program" ], "domainSpecificKnowledge" : [ "Paint stewardship program" ], "specialRequirements" : "Significant in-field work", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Summary PaintCare seeks a qualified candidate to assist with administering the paint stewardship program in Maine and Vermont. This position is remote, located in Maine or Vermont, and requires a significant amount of in-field work to coordinate the activities of the PaintCare program. About PaintC", "summaryDescription" : "PaintCare Program Coordinator for Maine and Vermont at American Coatings Association & PaintCare. Assist with administering paint stewardship program. Coordinate program activities in-field", "createdAt" : "2026-06-14T20:29:38.921", "lastUpdated" : "2026-06-15T21:22:12.600", "ingestTimestamp" : "2026-06-14T20:29:38.921", "mongoId" : "6a2c6ad274d8ee00a090e513", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Paint stewardship program" ], "skillCount" : 1, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Environmental Services", "llmIndustryConfidence" : 0.92 }, { "id" : "69ce5e3b9bc74574cb677aec", "title" : "T6_Chief Data and AI Architect", "company" : "MBRDI", "industry" : "Manufacturing", "salary" : { "min" : 6000000.0, "max" : 9000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Chief Data and AI Architect in Bangalore, India, adjusted for industry and company size." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "Brigade Tech Gardens, Katha No. 119, Kundalahalli Village, K.R. Puram Hobli, Ward No. 85, Bangalore" ], "certifications" : [ "Azure Data Engineer", "Azure Architect", "AWS Certified Machine Learning" ], "timestamp" : "2026-06-15T10:23:16.352", "fingerprint" : "370e2b00770dd492a2575292193f9eb76fd8365da30dfb9faa3fab6b2d172cdd", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=877618", "externalId" : "877618", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Data Architecture, Data Engineering, AI, ML, Spark, Dbt, Kafka, Databricks, Synapse, Snowflake, APIs, Python, R, Scala, TensorFlow, PyTorch, Azure ML, SageMaker, Delta Lake, AWS, GCP, Azure", "professionalSkills" : [ "Solution design", "Stakeholder management", "Team leadership", "Thought leadership", "Knowledge sharing", "Technical excellence" ], "hardSkillsList" : [ "Data modeling", "Data ingestion", "Data integration", "Metadata management", "Data lineage", "Data quality", "Model lifecycle management", "Model versioning", "Model monitoring", "Risk assessment" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Metadata management", "level" : "intermediate" }, { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Model lifecycle management", "level" : "intermediate" }, { "name" : "Model versioning", "level" : "intermediate" }, { "name" : "Model monitoring", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" } ], "majorSkills" : "Data Architecture, AI, ML, Data Engineering", "majorSkillsList" : [ "Data Architecture", "AI", "ML", "Data Engineering" ], "coreResponsibilities" : "Design scalable data architectures, Oversee data ingestion, Oversee data integration, Oversee data transformation, Define metadata best practices, Define data lineage best practices, Define data quality best practices, Lead data model development, Lead data pipeline development, Lead data transformation development, Enable self-serve analytics, Identify AI/ML use cases, Evaluate AI/ML use cases, Design AI solutions, Build AI pipelines, Build ML pipelines, Promote responsible AI, Define AI governance frameworks, Implement AI governance frameworks, Establish model policies, Act as thought leader, Inspire cross-functional teams, Mentor cross-functional teams, Facilitate knowledge sharing, Promote technical excellence, Promote curiosity", "teamCollaboration" : "Cross-functional teams; DevOps teams; Cloud teams; BI teams; Analytics teams; Data Scientists; MLOps engineers; Product owners", "domainKnowledge" : "Data lakehouse; Streaming data; Unstructured data; Structured data; Business intelligence; Analytics engineering; Quantitative analysis; Cloud data stacks; ML frameworks; BI platforms; Statistical methods; Responsible AI; Ethical AI; Model interpretability; GenAI", "domainList" : [ "data-lakehouse", "streaming-data", "unstructured-data", "structured-data", "business-intelligence", "analytics-engineering", "quantitative-analysis", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods", "responsible-ai", "ethical-ai", "model-interpretability", "genai" ], "domainSpecificKnowledge" : [ "Data lakehouse", "Streaming data", "Unstructured data", "Structured data", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Responsible AI", "Ethical AI", "Model interpretability", "GenAI" ], "toolProficiency" : [ "Dbt Cloud", "Fivetran", "Airflow" ], "communicationSkills" : "Stakeholder communication; Technical concepts communication", "innovationCreativity" : "Innovation", "qualificationsBasic" : "Bachelor's or Master's degree, 10+ years experience, Cloud data platforms experience, AI/ML frameworks knowledge, Governance frameworks experience, Data privacy experience, MLOps experience, Excellent communication skills, Stakeholder management skills, Lead technical teams ability", "qualificationsPreferred" : "AI / GenAI usecase delivery experience, Model interpretability experience, Regulatory compliance experience, Enterprise data modernization experience, AI transformation programs experience, Cloud data architecture certifications, AI certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About MBRDI: Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. We are seeking a visionary Data and AI Chief Architect to lead the design, development, and governance of department wide data and AI solutions. This role requires a balance of deep technical expertise, architectural vision, and the ability to inspire cross-functional teams toward a unified data and AI strategy. As a key member of the architecture and innovation team, you will shape how data is collected, transformed, and leveraged across the organization — enabling scalable data engineering pipelines, responsible AI adoption, and the delivery of intelligent business outcomes. Key Responsibilities 1. Data Architecture & Engineering Design and implement modern, scalable data architectures (data lakehouse, streaming, APIs, etc.) to support analytics and AI workloads. Oversee data ingestion, integration, and transformation processes across structured and unstructured sources. Partner with DevOps and Cloud teams to ensure data platforms meet enterprise performance, security, and compliance standards. Define best practices for metadata management, data lineage, and data quality frameworks. 2. Data Transformation & Analytics Enablement Lead the development of robust data models, pipelines, and transformations using modern tools (e.g., Spark, dbt, Kafka, Databricks, Synapse, Snowflake, etc.). Collaborate with BI and analytics teams to ensure data is clean, contextual, and analytics-ready. Enable business units to self-serve and innovate through governed data products and APIs. 3. AI Use Case Discovery & Delivery Partner with business stakeholders to identify and evaluate high-impact AI/ML use cases. Provide technical leadership in designing AI solutions — from proof of concept to production deployment. Collaborate with Data Scientists and MLOps engineers to build scalable AI and machine learning pipelines. Promote responsible AI practices ensuring transparency, fairness, and explainability in all AI initiatives. 4. AI Governance & Strategy Define and implement frameworks for AI governance, including ethical AI guidelines, model lifecycle management, and compliance. Establish policies for model versioning, monitoring, and risk assessment. Act as a thought leader on AI maturity and innovation across the organization. 5. Cross-Functional Leadership & Inspiration Inspire and mentor cross-functional teams — including engineers, analysts, and product owners — toward data-driven and AI-powered ways of working. Facilitate knowledge sharing and promote a culture of technical excellence and curiosity. Communicate complex technical concepts to non-technical stakeholders effectively. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI, or a related field. 10+ years of experience in data architecture, data engineering, or AI/ML solution design. Proven experience with cloud data platforms (Azure, AWS, or GCP) and modern data stack tools. Strong knowledge of AI/ML frameworks (TensorFlow, PyTorch, Azure ML, SageMaker, etc.). Experience with governance frameworks, data privacy, and MLOps. Excellent communication and stakeholder management skills. Demonstrated ability to lead and inspire technical teams. Preferred Qualifications Experience in AI / GenAI usecase delivery , model interpretability, and regulatory compliance. Prior experience leading enterprise data modernization or AI transformation programs. Certifications in cloud data architecture or AI (e.g., Azure Data Engineer/Architect, AWS Certified Machine Learning). Why Join Us? Be part of a purpose-driven organization that’s shaping the future of mobility. Work on cutting-edge technologies and global projects. Thrive in a collaborative, diverse, and inclusive environment. Access world-class infrastructure and learning opportunities. Equal Opportunity Statement: At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "T6_Chief Data and AI Architect at MBRDI. Skills: Data Architecture, AI, ML, Data Engineering. Design scalable data architectures. Oversee data ingestion", "createdAt" : "2026-06-14T08:27:53.793", "lastUpdated" : "2026-06-15T10:23:16.352", "ingestTimestamp" : "2026-06-14T08:27:53.793", "mongoId" : "69ce5e3b9bc74574cb677aec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data modeling", "Data ingestion", "Data integration", "Metadata management", "Data lineage", "Data quality", "Model lifecycle management", "Model versioning", "Model monitoring", "Risk assessment", "Data Architecture", "AI", "ML", "Data Engineering", "Solution design", "Stakeholder management", "Team leadership", "Thought leadership", "Knowledge sharing", "Technical excellence", "Data lakehouse", "Streaming data", "Unstructured data", "Structured data", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Responsible AI", "Ethical AI", "Model interpretability", "GenAI", "Azure Data Engineer", "Azure Architect", "AWS Certified Machine Learning", "Dbt Cloud", "Fivetran", "Airflow" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3087a4f292fd229c08b1f8", "title" : "Business Analyst, Data Masking and Compliance", "company" : "Capco", "industry" : "Consulting", "salary" : { "min" : 118000.0, "max" : 152000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Canada - Toronto", "locations" : [ "Canada - Toronto" ], "timestamp" : "2026-06-16T12:32:44.174", "fingerprint" : "f519232f48132c719665d37d19932956dfa1532fec2df391bf8a340f99776803", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/capco/jobs/8003346", "externalId" : "8003346", "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", "professionalSkills" : [ "Data governance", "Risk remediation", "Stakeholder management", "Data analysis", "Process design", "Process engineering", "Operational improvement" ], "hardSkillsList" : [ "Data masking standards", "Evidence collection", "Compliance reporting", "Governance metrics" ], "hardSkills" : [ { "name" : "Data masking standards", "level" : "intermediate" }, { "name" : "Evidence collection", "level" : "intermediate" }, { "name" : "Compliance reporting", "level" : "intermediate" }, { "name" : "Governance metrics", "level" : "intermediate" } ], "majorSkills" : "Data masking, Compliance, Risk remediation, Data governance", "majorSkillsList" : [ "Data masking", "Compliance", "Risk remediation", "Data governance" ], "coreResponsibilities" : "Assess applications against data masking standards, Identify compliance gaps, Identify remediation requirements, Partner with application owners, Understand application processes, Understand data flows, Understand masking requirements, Design evidence collection processes, Implement evidence collection processes, Demonstrate compliance through objective testing, Facilitate stakeholder discussions, Align business requirements with standards, Support adoption of required controls, Create compliance reporting, Track status, Generate governance metrics", "teamCollaboration" : "Partnering with stakeholders; Bridging business and technology teams; Application owners; Business stakeholders; Senior stakeholders", "projectManagementSkills" : [ "Audit remediation" ], "domainKnowledge" : "Data masking; Data governance; Banking; Payments; Enterprise technology; Risk management; Operational risk", "domainList" : [ "data-masking", "data-governance", "banking", "payments", "enterprise-technology", "risk-management", "operational-risk" ], "domainSpecificKnowledge" : [ "Data masking", "Data governance", "Banking", "Payments", "Enterprise technology", "Risk management", "Operational risk" ], "communicationSkills" : "Stakeholder communication", "continuousLearning" : "Professional development; Industry-leading expertise", "problemSolvingSkills" : "Translating standards; Practical requirements", "outcomesObjectives" : "Strengthen data governance practices; Contribute to risk remediation program", "qualificationsBasic" : "Experience delivering risk, compliance, audit remediation, data governance, or regulatory change initiatives within financial services, Stakeholder management and communication skills, Ability to understand business processes, Experience performing data analysis, Process design, process engineering, or operational improvement experience", "qualificationsPreferred" : "Experience with data masking, Experience with data protection, Experience with privacy controls, Experience with information security programs, Knowledge of banking, Knowledge of payments, Knowledge of enterprise technology environments, Familiarity with audit remediation programs, Familiarity with regulatory examinations, Familiarity with control testing frameworks, Experience designing governance reporting, Experience designing compliance dashboards, Experience designing executive-level status reporting, Understanding of risk management frameworks, Understanding of operational risk practices", "rawDescription" : "Drive Enterprise Risk Remediation Through Data Governance Excellence The Role Capco is seeking a Business Analyst, Data Masking and Compliance to support a critical enterprise audit remediation initiative within a leading financial institution. This newly created role will focus on assessing application compliance against enterprise data masking standards, partnering with stakeholders to drive adoption, and establishing sustainable evidence collection and reporting processes. You will play a key role in bridging business and technology teams, helping application owners understand compliance requirements while ensuring regulatory and audit expectations are met. This is an opportunity to influence enterprise-wide controls, strengthen data governance practices, and contribute to a high-profile risk remediation program. What You’ll Do Assess and prioritize applications requiring review against enterprise data masking standards, identifying compliance gaps and remediation requirements. Partner with application owners and business stakeholders to understand application processes, data flows, and masking requirements. Design and implement evidence collection and validation processes that demonstrate compliance through objective testing rather than attestation alone. Facilitate stakeholder discussions to align business requirements with enterprise standards while supporting adoption of required controls. Create compliance reporting, status tracking, and governance metrics that integrate with broader audit remediation KRIs and KPIs. What We’re Looking For Experience delivering risk, compliance, audit remediation, data governance, or regulatory change initiatives within financial services. Strong stakeholder management and communication skills with the ability to build trust, influence outcomes, and navigate competing priorities. Ability to understand business processes and translate enterprise standards into practical application-level requirements. Experience performing data analysis and interpreting data flows, controls, and compliance requirements. Process design, process engineering, or operational improvement experience with a focus on scalable control frameworks. Bonus Points For Experience with data masking, data protection, privacy controls, or information security programs. Knowledge of banking, payments, and enterprise technology environments. Familiarity with audit remediation programs, regulatory examinations, or control testing frameworks. Experience designing governance reporting, compliance dashboards, and executive-level status reporting. Understanding of risk management frameworks and operational risk practices within large financial institutions. Why Join Capco Work on high-impact regulatory and risk transformation initiatives for leading financial institutions. Partner with senior stakeholders across business, technology, risk, and compliance functions. Join a collaborative, entrepreneurial consulting culture that values innovation and practical problem-solving. Access continuous learning, professional development, and industry-leading expertise. Help shape the future of data governance, compliance, and risk management within the financial services industry. Benefits Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment. Retirement Savings Program – RRSP with the option of receiving a matching employer contribution. Virtual Health Care and Employee & Family Assistance Program available to employees and their dependents. Enhanced parental leave benefits from Day 1 of employment, plus a company-sponsored new parent gift. Wellness reimbursement and a dedicated Business Coach from Day 1 to support your career growth and development. Why This Role Is Open We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact. Inclusion at Capco We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day. Use of Artificial Intelligence in Talent Acquisition At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination. AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams. Pay Transparency The salary range for this position is listed below. Additionally, this position may also be eligible to receive an annual discretionary/variable bonus payment. Capco is committed to providing fair and equitable compensation to our people. Our compensation policies and salary ranges are designed to allow our people to progress through the salary range as they demonstrate strong performance and develop in their role over time. The base pay offered to selected candidates will be within the salary range and the placement will vary based upon a variety of factors, including, but not limited to job-related knowledge, skills, experience and internal equity. Canada Pay Transparency $118,000—$152,000 CAD", "summaryDescription" : "Business Analyst, Data Masking and Compliance at Capco. Skills: Data masking, Compliance, Risk remediation, Data governance. Assess applications against data masking standards. Identify compliance gaps", "postedDate" : "2026-06-16T01:20:47.212", "createdAt" : "2026-06-16T01:20:47.212", "lastUpdated" : "2026-06-16T12:32:44.174", "ingestTimestamp" : "2026-06-16T01:20:47.212", "mongoId" : "6a3087a4f292fd229c08b1f8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data masking standards", "Evidence collection", "Compliance reporting", "Governance metrics", "Data masking", "Compliance", "Risk remediation", "Data governance", "Stakeholder management", "Data analysis", "Process design", "Process engineering", "Operational improvement", "Audit remediation", "Banking", "Payments", "Enterprise technology", "Risk management", "Operational risk" ], "skillCount" : 19, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3078d2f292fd229c02cf81", "title" : "Adjunct, Multimedia - Audio and Video Production for Photographers", "company" : "Endicott", "industry" : "Education", "salary" : { "min" : 1100.0, "max" : 4700.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-16T12:46:31.197", "fingerprint" : "6a175fa3d3c08016828df342a7c76323d26c41533eaeb742d68e4e9938313911", "source" : "workday", "language" : "en", "applyUrl" : "https://endicott.wd1.myworkdayjobs.com/Endicott/job/Endicott-College-Main-Campus/Adjunct--Multimedia---Audie-and-Video-Production-for-Photographers_JREQ-002447", "externalId" : "JREQ-002447", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "Master's", "majorSkills" : "Audio production, Video production, Multimedia production", "majorSkillsList" : [ "Audio production", "Video production", "Multimedia production" ], "coreResponsibilities" : "Deliver course in person, Abide by academic policies, Use course description, Honor learning outcomes, Use Canvas as LMS, Meet roster deadlines, Submit grades, Communicate with dean, Meet with students, Provide samples of student work, Use Endicott email", "domainKnowledge" : "Audio and video media", "domainList" : [ "audio-and-video-media" ], "domainSpecificKnowledge" : [ "Audio and video media" ], "toolProficiency" : [ "Canvas" ], "qualificationsBasic" : "Master's degree", "qualificationsPreferred" : "College-level teaching experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are located approximately 20 miles north of Boston and parking is free. We are also accessible by commuter rail on the Newburyport/Rockport line. Come and explore Endicott’s seaside locale where employees are an important part of the bustling campus community! Please apply today if this opportunity looks like the right fit for you. . The School of Visual and Performing Arts is currently seeking individuals to teach the following courses in the Fall semester, with classes starting on 9/1/26 and ending 12/18/26 * PHT 113 MULTIMEDIA I: AUDIO AND VIDEO PRODUCTION FOR PHOTOGRAPHERS This course is an introduction to the methodologies and technologies of multimedia production employing audio and video. Through assigned projects, students will explore concepts relating to the use of sound and moving image for the purpose of description, narrative, experimentation, and expression. Assignments will be supported by lectures, readings, and demonstrations. Students will be introduced to historical and contemporary applications of audio and video media in the context of assigned projects. Pre-requisites: PHT116 **COMPENSATION PER COURSE:** Hiring manager to provide a range of adjunct rates for the course for which they are seeking an adjunct. The range would be the lowest for the low-enrolled course to the highest rate paid. (e.g., for a 3-credit course: $1,100 - $4,700 depending on enrollment) The course meets **in person.** This studio course section meets twice a week for 1:50 minutes. Instructors are expected to: * Deliver the course in person in their assigned time blocks. * Abide by Endicott’s academic policies as described in the College’s faculty handbook. * Use the course description and honor the learning outcomes of each course. * Use Canvas as the course’s learning management system. * Meet deadlines for roster verification and submission of grades. * Communicate with the dean or other administrators if issues arise concerning the teaching of specific classes. * Meet with students if they request assistance or need clarification for any course-related matter, if requested. * Provide samples of student work that may be used for assessment purposes. * Use the Endicott email when communicating with students outside of class. Qualifications: A minimum of a Master’s degree is required, and college-level teaching experience is preferred.", "summaryDescription" : "Adjunct, Multimedia - Audio and Video Production for Photographers at Endicott. Skills: Audio production, Video production, Multimedia production. Deliver course in person. 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IN THIS ROLE, YOU WILL: - Work closely with research to understand data needs and define acquisition priorities and timeline that are aligned with our research roadmap. - Translate research objectives into clear technical requirements and operational plans, ensuring data workflows, timelines, and quality standards are executed to the highest quality standards. - Lead vendor and partner engagements for data sourcing – including evaluating suppliers, negotiating agreements, and managing delivery. - Establish and maintain metrics for data quality, throughput, efficiency, and overall program performance, ensuring visibility to leadership and cross-functional partners. - Identify gaps in our data ecosystem and proactively drive initiatives to strengthen our data acquisition and creation capabilities over time. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have 8+ years of experience in operations, strategy, venture capital, private equity, or consulting, with at least 5 years operating within a company. 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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. 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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. 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requirements into technical data solutions, Explain analytical insights in simple terms, Experience working with stakeholders to define priorities, Gather requirements, Deliver data-driven solutions, Knowledge of Agile/Scrum methodologies, Basic project management principles, Communication skills, Presentation skills, Stakeholder management skills", "qualificationsPreferred" : "Hands-on experience with Microsoft Power BI or similar data visualization tools, Familiarity with data lake concepts, Emerging modern data warehouse architectures", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Develop and maintain strong stakeholder relationships to ensure data and analytics solutions align with evolving business requirements and priorities. Enhance and maintain stability, performance, and scalability of existing Oracle Analytics Cloud (OAC) environments. Design and support data ingestion strategies for modern data lake architectures using ETL tools, flat file processing, and integration frameworks. Establish and maintain data governance standards, including documentation of data sources, transformations, and reporting logic. Promote self-service BI adoption and visualization best practices across the organization using OAC and Power BI platforms. Manage user access, security, and provisioning for analytics platforms, ensuring appropriate governance and compliance. Support data quality processes including validation, cleansing, and ETL optimization to ensure reliable reporting outputs. Collaborate with business users and IT teams to troubleshoot system issues, deliver enhancements, and support reporting needs. Participate in SDLC processes, project planning, and Agile ceremonies while ensuring timely communication of status updates and risks. Contribute to dashboard development, report creation, and migration efforts including the “lift and shift” of legacy OAC content into Power BI. Requirements: Bachelor’s degree in Computer Science, Information Systems, Business Administration, or related field. 5+ years of experience in BI, data analytics, or data architecture roles covering design, development, implementation, and support of enterprise analytics solutions. Strong experience with relational databases, data modeling concepts, ETL processes, and flat file data integration. Hands-on experience with Microsoft Power BI or similar data visualization tools strongly preferred. Deep understanding of data analytics platforms, reporting frameworks, and enterprise BI architectures. Strong ability to translate business requirements into technical data solutions and explain analytical insights in simple terms. Experience working with stakeholders to define priorities, gather requirements, and deliver data-driven solutions. Familiarity with data lake concepts and emerging modern data warehouse architectures. Knowledge of Agile/Scrum methodologies and basic project management principles. Strong communication, presentation, and stakeholder management skills across technical and non-technical audiences. Self-starter mindset with strong problem-solving abilities and ability to lead cross-functional collaboration efforts. Willingness to travel periodically as required. Benefits: Competitive base salary with performance-based incentive compensation. Comprehensive health coverage including medical, dental, and vision insurance. Life insurance, disability coverage, and additional voluntary benefit options. Immediate eligibility for 401(k) with employer matching contributions. Generous paid time off including 80 hours (10 days) of company holidays annually. Adoption benefits and family support programs. Inclusive work environment with equal opportunity employment practices. Exposure to modern data architecture transformation and enterprise BI modernization initiatives. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Solutions Architect IV- Data and Analytics. Skills: Data architecture, Data analytics, Business intelligence. Develop and maintain stakeholder relationships. Ensure data and analytics solutions align with business", "postedDate" : "2026-06-15T10:16:20.862", "createdAt" : "2026-06-15T10:16:20.862", "lastUpdated" : "2026-06-16T11:33:50.217", "ingestTimestamp" : "2026-06-16T03:20:53.708", "mongoId" : "6a30511af292fd229cefa673", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data ingestion", "Data transformation", "Reporting logic", "Data cleansing", "Reporting needs", "Problem-solving", "Data architecture", "Data analytics", "Business intelligence", "Data modeling", "Data governance", "Self-service BI", "User access management", "Data quality processes", "ETL optimization", "System troubleshooting", "Project planning", "Stakeholder management", "Agile ceremonies", "SDLC processes", "Data lake architectures", "Modern data warehouse architectures", "Enterprise BI architectures", "Oracle Analytics Cloud", "Power BI" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305119f292fd229cef9c97", "title" : "Lead Product Manager, Data and AI", "industry" : "Product", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead Product Manager, Data and AI in Bulgaria, adjusted for SaaS industry and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T13:00:21.262", "fingerprint" : "82fe4f4fdc8ab1372055aa6158ae911736d6dc6afa73b5b74d4c6341bc3b8381", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/f4b9f71e-4327-4077-a695-5a7cf7ad3271/apply", "externalId" : "f4b9f71e-4327-4077-a695-5a7cf7ad3271", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Machine learning, Generative AI, Large language models, LLMs, Advanced analytics", "professionalSkills" : [ "Product strategy", "Roadmap development", "Product lifecycle management", "Stakeholder management", "Product requirements", "Data-driven decision making" ], "hardSkillsList" : [ "AI development", "Analytics solutions", "Product performance measurement", "Experimentation frameworks" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "AI development", "level" : "intermediate" }, { "name" : "Analytics solutions", "level" : "intermediate" }, { "name" : "Product performance measurement", "level" : "intermediate" }, { "name" : "Experimentation frameworks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Machine learning, Generative AI, Analytics solutions", "majorSkillsList" : [ "Machine learning", "Generative AI", "Analytics solutions" ], "coreResponsibilities" : "Define product vision and roadmap, Execute product vision and roadmap, Align initiatives with business objectives, Lead development of AI solutions, Lead deployment of AI solutions, Manage product lifecycle, Collaborate with cross-functional stakeholders, Integrate intelligent capabilities into products, Establish frameworks for measuring product performance, Establish frameworks for experimentation, Establish frameworks for business impact, Use data-driven insights for decision-making, Use data-driven insights for optimization, Translate business challenges into product requirements, Act as bridge between technical and non-technical stakeholders, Promote responsible AI development, Partner with governance stakeholders, Partner with privacy stakeholders, Partner with compliance stakeholders, Ensure ethical product outcomes, Ensure secure product outcomes, Ensure reliable product outcomes, Mentor team members, Contribute to product management best practices, Foster culture of innovation, Foster culture of collaboration, Foster culture of continuous improvement", "teamCollaboration" : "Cross-functional stakeholders; Product teams; Engineering teams; Design teams; Operations teams; Business teams; Multidisciplinary teams", "projectManagementSkills" : [ "Roadmap development", "Prioritization", "Execution" ], "domainKnowledge" : "Machine learning concepts; Generative AI technologies; Large language models; LLMs; Advanced analytics; AI infrastructure; Data privacy; Data governance; AI security; Ethical AI principles", "domainList" : [ "machine-learning-concepts", "generative-ai-technologies", "large-language-models", "llms", "advanced-analytics", "ai-infrastructure", "data-privacy", "data-governance", "ai-security", "ethical-ai-principles" ], "domainSpecificKnowledge" : [ "Machine learning concepts", "Generative AI technologies", "Large language models", "LLMs", "Advanced analytics", "AI infrastructure", "Data privacy", "Data governance", "AI security", "Ethical AI principles" ], "communicationSkills" : "Explain technical concepts; Explain trade-offs", "continuousLearning" : "Product management best practices", "innovationCreativity" : "Culture of innovation", "problemSolvingSkills" : "Navigate ambiguity; Prioritize competing objectives; Execute complex initiatives", "qualificationsBasic" : "Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline, 8+ years of product management experience within enterprise SaaS, cloud software, technology, or highly regulated industries, At least 3 years of hands-on experience launching and scaling machine learning, AI, or data-driven products, Deep understanding of machine learning concepts, generative AI technologies, large language models (LLMs), advanced analytics, and the infrastructure required to support AI solutions, Proven ability to develop product strategies, navigate ambiguity, prioritize competing objectives, and successfully execute complex initiatives, Experience working across multidisciplinary teams in fast-paced environments", "qualificationsPreferred" : "Familiarity with regulated industries, Understanding of data privacy, governance, security, and ethical AI principles", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Define and execute a multi-year product vision and roadmap for data and AI platforms, aligning initiatives with business objectives, growth strategies, and operational priorities. Lead the development and deployment of advanced AI, machine learning, generative AI, and analytics solutions, managing the full product lifecycle from ideation and experimentation to scalable production delivery. Collaborate closely with cross-functional stakeholders across product, engineering, design, operations, and business teams to integrate intelligent capabilities into core products and workflows. Establish frameworks for measuring product performance, experimentation, and business impact, using data-driven insights to guide decision-making and optimization efforts. Translate complex business challenges into clear product requirements and act as a bridge between technical specialists and non-technical stakeholders. Promote responsible AI development by partnering with governance, privacy, and compliance stakeholders to ensure ethical, secure, and reliable product outcomes. Mentor team members, contribute to product management best practices, and help foster a culture of innovation, collaboration, and continuous improvement. Requirements Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline. 8+ years of product management experience within enterprise SaaS, cloud software, technology, or highly regulated industries, with a strong track record of delivering large-scale products. At least 3 years of hands-on experience launching and scaling machine learning, AI, or data-driven products. Deep understanding of machine learning concepts, generative AI technologies, large language models (LLMs), advanced analytics, and the infrastructure required to support AI solutions. Proven ability to develop product strategies, navigate ambiguity, prioritize competing objectives, and successfully execute complex initiatives. Strong communication and stakeholder management skills, with the ability to explain technical concepts and trade-offs to executive and non-technical audiences. Experience working across multidisciplinary teams in fast-paced environments and influencing decisions without direct authority. Familiarity with regulated industries and an understanding of data privacy, governance, security, and ethical AI principles is considered a strong advantage. Benefits Annual base salary ranging from $161,000 to $221,500, depending on experience, qualifications, and location. Eligibility for performance-based or discretionary bonus programs. Comprehensive healthcare coverage, including medical, dental, vision, life, and disability insurance options. Flexible spending accounts (FSA) and health savings account (HSA) programs. Access to coaching, therapy, and well-being support services. Equity participation through company stock programs. Generous paid time off, including vacation, sick leave, and company holidays. Paid parental leave. 401(k) retirement plan with company matching contributions. Monthly technology allowance. Additional wellness initiatives, employee events, recognition programs, and community-focused activities. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Lead Product Manager, Data and AI. Skills: Machine learning, Generative AI, Analytics solutions. Define product vision and roadmap. Execute product vision and roadmap", "postedDate" : "2026-06-15T09:26:38.520", "createdAt" : "2026-06-15T09:26:38.520", "lastUpdated" : "2026-06-16T13:00:21.262", "ingestTimestamp" : "2026-06-16T03:24:32.331", "mongoId" : "6a305119f292fd229cef9c97", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "AI development", "Analytics solutions", "Product performance measurement", "Experimentation frameworks", "Leadership", "Mentoring", "Machine learning", "Generative AI", "Product strategy", "Roadmap development", "Product lifecycle management", "Stakeholder management", "Product requirements", "Data-driven decision making", "Prioritization", "Execution", "Machine learning concepts", "Generative AI technologies", "Large language models", "LLMs", "Advanced analytics", "AI infrastructure", "Data privacy", "Data governance", "AI security", "Ethical AI principles" ], "skillCount" : 26, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c964474d8ee00a098f12c", "title" : "ABA Center Director for Outreach and Growth", "company" : "OOS Management Corp.", "industry" : "Healthcare", "salary" : { "min" : 60000.0, "max" : 70000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New Hampshire, United States", "locations" : [ "New Hampshire", "United States" ], "timestamp" : "2026-06-15T08:01:46.932", "fingerprint" : "8c2050481a43fc2b72f2c5f403d430b6762aa966c731c209d7366de2aaebda42", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/oosmanagementcorp/jobs/4245098009", "externalId" : "4245098009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Manchester", "state" : "New Hampshire", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.9956397,-71.4547891" } ], "locationText" : "Manchester, New Hampshire, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School Diploma", "experienceMinYears" : 2, "experienceLevel" : "Director", "professionalSkills" : [ "Business development", "Client acquisition", "Sales pipeline management", "Data tracking", "Data collection" ], "hardSkillsList" : [ "KPI reporting", "Outreach activity reporting" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "KPI reporting", "level" : "intermediate" }, { "name" : "Outreach activity reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Community outreach, Business development, Client acquisition, Relationship building", "majorSkillsList" : [ "Community outreach", "Business development", "Client acquisition", "Relationship building" ], "coreResponsibilities" : "Develop relationships driving new client intake, Build relationships with families, Build relationships with schools, Build relationships with pediatricians, Build relationships with community organizations, Achieve key performance indicators, Report on outreach activity, Report on referral pipelines, Report on conversion metrics, Serve as liaison for insurance submission, Serve as liaison for compliance, Lead multidisciplinary teams, Develop center standard operating procedures", "teamCollaboration" : "Multidisciplinary teams", "domainKnowledge" : "ABA services; Behavioral health community; Autism behavioral health", "domainList" : [ "aba-services", "behavioral-health-community", "autism-behavioral-health" ], "domainSpecificKnowledge" : [ "ABA services", "Behavioral health community", "Autism behavioral health" ], "continuousLearning" : "Professional development; Growth opportunities", "outcomesObjectives" : "Achieve key performance indicators; Deliver quality ABA services; Drive growth", "qualificationsBasic" : "High School Diploma required, 2 years relevant experience required, Experience in ABA services required", "qualificationsPreferred" : "Bachelor's or Associate's Degree preferred, Experience in behavioral health preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABA Center Director for Outreach and Growth Pay: $60,000 - $70.000 Per Year Job Type: Full-Time in person/Manchester, NH POSITION SUMMARY LSC is growing and evolving, we want you to grow with us! Licensed Support is seeking an ABA Center Director that will help accelerate the growth, expansion and new direction of our ABA center and services. This position ensures the delivery of high-quality; ABA services focused on early intervention while driving growth through new client acquisition and strategic community partnerships. If you’re someone who knows how to build valuable connections, close opportunities, consistently hit goals, and lead teams, this role offers the chance to utilize your skills and see the direct results of your work. RESPONSIBILITIES Growth and Business Development: Develop relationships that drive new client intake by: Building and maintaining relationships with families, schools, pediatricians, and community organizations to identify ASD needs and introduce our services Achieving key performance indicators (KPIs) and report weekly on outreach activity, referral pipelines, and conversion metrics Human Resources serving as liaison to headquarters (HQ) for insurance submission and compliance Proven success in leading, managing, and developing multidisciplinary teams while continuing to develop the center’s standard operating procedures (SOP) QUALIFICATIONS Education: Bachelor's or Associate's Degree – Preferred High School Diploma - Required Work Experience: Minimum 2 years of relevant experience, preferably in general operations and management – Required Experience in ABA services or the behavioral health community - Preferred SKILLS & CORE COMPETENCES Experience in community outreach, business development, or client acquisition Proficiency in managing a sales or referral pipeline with documented results Data-Driven Decision-Making utilizing KPIs to monitor and deliver quality ABA services and growth Exceptional interpersonal and relationship building skills Strong business acumen and expertise in electronic data tracking and collection systems Ability to independently manage a multi-faceted ABA center with high accountability Knowledge of ABA services and the autism/behavioral health community is a plus WHAT SETS YOU APART? At LSC you don't just knock on doors — you build relationships that last. Your referral network grows because people trust you, and your pipeline converts because your follow-through is relentless. You're self-motivated, community-connected, and you genuinely believe in the services you're representing. Every family you connect to Licensed Support ABA is a family whose life you've helped change. BENEFITS Empowered opportunity to manage a multi-faceted ABA Center Professional development & growth opportunities Competitive base salary Mission-driven team with real community impact Here at Licensed Support ABA, we are a community and aim to foster a safe and enriching environment for each child and staff member!", "summaryDescription" : "ABA Center Director for Outreach and Growth at OOS Management Corp.. Skills: Community outreach, Business development, Client acquisition, Relationship building. Develop relationships driving new client intake. Build relationships with families", "postedDate" : "2026-06-13T22:30:09.189", "createdAt" : "2026-06-13T22:30:09.189", "lastUpdated" : "2026-06-15T08:01:46.932", "ingestTimestamp" : "2026-06-13T22:30:09.189", "mongoId" : "6a2c964474d8ee00a098f12c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 70000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "KPI reporting", "Outreach activity reporting", "Leadership", "Community outreach", "Business development", "Client acquisition", "Relationship building", "Sales pipeline management", "Data tracking", "Data collection", "ABA services", "Behavioral health community", "Autism behavioral health" ], "skillCount" : 13, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.92 }, { "id" : "68b706997fc9a711f0f6fe81", "title" : "Senior Data Scientist - Data and Machine Learning, WWPS ProServe Data and Machine Learning", "company" : "Amazon Web Services, Inc.", "industry" : "Data Science, Science, Cloud Computing", "salary" : { "min" : 143300.0, "max" : 247600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Herndon, Virginia, USA", "locations" : [ "Herndon, Virginia, USA" ], "timestamp" : "2026-06-15T06:03:22.811", "fingerprint" : "2de507a2af9713958cf19fc7bc76811d52243f83d9bf8296e6df9008d561a0ec", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3051327/apply", "externalId" : "17bd976f-c327-4f8f-82fd-e01156aa798f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" } ], "locationText" : "Herndon, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI algorithms, Generative AI, Machine Learning, Large Language Models, Python, Tensorflow, Keras, PyTorch, MXNet, AWS, SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, JAX", "professionalSkills" : [ "Business acumen", "Data science", "AI methods" ], "hardSkillsList" : [ "Data mining", "Numerical optimization", "Deep learning", "Machine learning" ], "hardSkills" : [ { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Numerical optimization", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Machine Learning, Data Science", "majorSkillsList" : [ "Generative AI", "Machine Learning", "Data Science" ], "coreResponsibilities" : "Research AI algorithms, Design AI algorithms, Develop AI algorithms, Evaluate AI algorithms, Interact with customers, Understand business problem, Aid customers in implementation of AI solutions, Deliver briefing sessions to customers, Deliver deep dive sessions to customers, Guide customer on adoption patterns, Guide customer on paths to production, Create best practice recommendations, Deliver best practice recommendations, Create tutorials, Deliver tutorials, Create blog posts, Deliver blog posts, Create sample code, Deliver sample code, Create presentations, Deliver presentations, Provide customer feedback, Provide market feedback", "teamCollaboration" : "AI/ML scientists; Architects; Product teams; Engineering teams", "domainKnowledge" : "Generative AI; Large Language Models; US Intelligence Community", "domainList" : [ "generative-ai", "large-language-models", "us-intelligence-community" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "US Intelligence Community" ], "toolProficiency" : [ "Tensorflow", "Keras", "PyTorch", "MXNet", "JAX" ], "communicationSkills" : "Customer briefings; Deep dive sessions; Executive stakeholder presentations", "documentationSkills" : "Best practice recommendations; Tutorials; Blog posts; Sample code; Presentations", "innovationCreativity" : "Drive feature innovation", "problemSolvingSkills" : "Solve complex problems", "specialRequirements" : "TS/SCI with Polygraph, Up to 25% local travel", "qualificationsBasic" : "Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience, 5+ years of experience building models for business applications, Experience with algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning, Experience using Python, Hands on experience building models with deep learning frameworks (i. e. Tensorflow, Keras, PyTorch, MXNet), Current, active US Government Security Clearance of TS/SCI with Polygraph", "qualificationsPreferred" : "Masters or PhD Degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field, AWS experience preferred, Practical experience in solving complex problems in an applied environment, Hands on experience building models with deep learning frameworks like PyTorch, Tensorflow, or JAX, Experience building applications leveraging GenAI", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you excited to help the US Intelligence Community design, build, and implement AI algorithms, including advanced Generative AI solutions, to augment decision making while meeting the highest standards for reliability, transparency, and scalability? The Amazon Web Services (AWS) US Federal Professional Services team works directly with US Intelligence Community agencies and other public sector entities to achieve their mission goals through the adoption of Machine Learning (ML) and Generative AI methods. We build models for text, image, video, audio, and multi-modal use cases, leveraging both traditional ML approaches and state-of-the-art generative models including Large Language Models (LLMs), text-to-image generation, and other advanced AI capabilities to fit the mission. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based on customer needs. At AWS, we're hiring experienced data scientists with a background in both traditional and generative AI who can help our customers understand the opportunities their data presents, and build solutions that earn the customer trust needed for deployment to production systems. In this role, you will work closely with customers to deeply understand their data challenges and requirements, and design tailored solutions that best fit their use cases. You should have broad experience building models using all kinds of data sources, and building data-intensive applications at scale. You should possess excellent business acumen and communication skills to collaborate effectively with stakeholders, develop key business questions, and translate requirements into actionable solutions. You will provide guidance and support to other engineers, sharing industry best practices and driving innovation in the field of data science and AI. This position requires that the candidate selected must currently possess and maintain an active TS/SCI Security Clearance with Polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities As an Data Scientist, you will: - Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate AI algorithms to address real-world challenges - Interact with customers directly to understand the business problem, help and aid them in implementation of AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production. - Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder - Provide customer and market feedback to Product and Engineering teams to help define product direction - This position may require up to 25% local travel. About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences and inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - 5+ years of experience building models for business applications - Experience with algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning - Experience using Python and hands on experience building models with deep learning frameworks (i.e. Tensorflow, Keras, PyTorch, MXNet) - Current, active US Government Security Clearance of TS/SCI with Polygraph Preferred Qualifications: - Masters or PhD Degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field - AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch) - Practical experience in solving complex problems in an applied environment - Hands on experience building models with deep learning frameworks like PyTorch, Tensorflow, or JAX - Experience building applications leveraging GenAI Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Data Scientist - Data and Machine Learning, WWPS ProServe Data and Machine Learning at Amazon Web Services, Inc.. Skills: Generative AI, Machine Learning, Data Science. Research AI algorithms. Design AI algorithms", "postedDate" : "2026-06-13T12:13:39.251", "createdAt" : "2026-06-13T12:13:39.251", "lastUpdated" : "2026-06-15T06:03:22.811", "ingestTimestamp" : "2026-06-13T12:13:39.251", "mongoId" : "68b706997fc9a711f0f6fe81", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3051327/apply", "salaryAnnualMin" : 143300, "salaryAnnualMax" : 247600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data mining", "Numerical optimization", "Deep learning", "Machine learning", "Generative AI", "Machine Learning", "Data Science", "Business acumen", "Data science", "AI methods", "Large Language Models", "US Intelligence Community", "Tensorflow", "Keras", "PyTorch", "MXNet", "JAX" ], "skillCount" : 17, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69ce5e3b9bc74574cb67799e", "title" : "PF Speaker and BTV for Charging components", "company" : "Mercedes-Benz Research and Development India", "industry" : "Manufacturing", "salary" : { "min" : 2750000.0, "max" : 4250000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Manager-level position in the Automotive industry in Bangalore, India, adjusted for company size and experience level." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "'Embassy Crest' Plot No 5, , EPIP Zone, Phase 1, " ], "timestamp" : "2026-06-15T04:58:39.323", "fingerprint" : "951412366fc77d0ce1842f3697480c4a2895dbe561a6069a04f8f0e27bbfa8f6", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=885054", "externalId" : "885054", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Charging system components", "professionalSkills" : [ "Technical leadership", "Stakeholder management", "Cross-functional collaboration", "Process improvement" ], "hardSkillsList" : [ "Root cause analysis", "Issue resolution lifecycle", "Problem-solving methodologies" ], "hardSkills" : [ { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Issue resolution lifecycle", "level" : "intermediate" }, { "name" : "Problem-solving methodologies", "level" : "intermediate" } ], "majorSkills" : "Charging system components, Issue resolution, Stakeholder management", "majorSkillsList" : [ "Charging system components", "Issue resolution", "Stakeholder management" ], "coreResponsibilities" : "Develop charging system components, Support charging system components, Create requirements specification, Create feature requests, Analyze supplier efforts, Negotiate supplier quotations, Create Engineering change request, Present change requests, Support production plant, Resolve production issues, Provide solutions for aftersales issues, Manage internal stakeholders, Manage external stakeholders, Lead PF-Teams, Guide PF-Teams, Define strategic direction, Drive strategic direction, Act as primary point of contact, Represent team progress, Represent team challenges, Represent team needs, Oversee application of methodologies, Ensure root cause analysis, Ensure corrective actions, Ensure adherence to guidelines, Ensure adherence to processes, Champion use of issue tracking tools, Champion use of project management tools, Champion use of collaboration tools, Identify best practices, Implement best practices, Foster cross-functional collaboration, Facilitate cross-functional collaboration, Engage stakeholders, Manage stakeholders, Mediate discussions, Resolve conflicts, Build consensus", "teamCollaboration" : "Cross-functional teams; Diverse stakeholders; Engineering; Quality; Production; Supply chain", "projectManagementSkills" : [ "Project management", "Agile", "SAFe", "Issue tracking tools", "Project management tools" ], "domainKnowledge" : "Charging system standards", "domainList" : [ "charging-system-standards" ], "domainSpecificKnowledge" : [ "Charging system standards" ], "toolProficiency" : [ "8D", "5 Why", "Ishikawa", "DMAIC", "A3" ], "communicationSkills" : "Presentation skills; Interpersonal skills; Technical information", "documentationSkills" : "Requirements specification", "continuousLearning" : "Learning and Technical challenges; Continuous learning opportunities", "innovationCreativity" : "Drive innovation", "problemSolvingSkills" : "Problem-solving; Root cause analysis; Issue resolution", "qualificationsBasic" : "Bachelor's degree in engineering, 8 years of experience, Proven experience leading teams, Structured problem-solving methodologies", "qualificationsPreferred" : "Knowledge of charging system standards, German language knowledge", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About MBRDI Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. What we are looking for: Essential: - Development and series support for Charging system components (OBC/DCB/Inlet/DCDC), which fulfil the legal regulations and production demands. - Creation and updating the requirements specification for components - Create feature requests to supplier, analyze the efforts and negotiate the quotation. - Create Engineering change request and present in the car line change committee meeting to seek the change implementation approval. - Support production plant for issue resolution. - Provide the solutions for the issues reported by aftersales team. - Internal/external stakeholder management during the Component change implementation. - Lead and guide PF-Teams through the entire issue resolution lifecycle, from initial identification and definition to successful implementation and verification of solutions. - Define and drive the strategic direction for issue resolution efforts, ensuring alignment with overall program goals and organizational priorities. - Act as the primary point of contact and decision-maker for the PF-Team, representing its progress, challenges, and needs to senior management and relevant stakeholders. - Oversee the structured application of established problem-solving methodologies (e.g., 8D, 5 Why, Ishikawa) to ensure robust root cause analysis and sustainable corrective actions. - Ensure strict adherence to established guidelines and processes for PF-Team setup, operationalization, and reporting. - Champion the effective use of issue tracking, project management, and collaboration tools to optimize team efficiency, transparency, and data-driven decision-making. - Identify and implement best practices for PF-Team operationalization, continuously seeking improvements in processes, methodologies, and tool utilization. - Foster and facilitate robust cross-functional collaboration among engineering, quality, production, supply chain, and other relevant departments to ensure comprehensive issue resolution. - Identify, engage, and manage all critical internal and external stakeholders, ensuring their active participation, commitment, and alignment throughout the issue resolution process. - Mediate discussions, resolve conflicts, and build consensus among diverse teams to overcome obstacles and drive progress. What we offer: - Working on state of the art Development for next generation Mercedes Benz cars - Opportunity to be part of a global team and excel in SAFe, Agile way of working - Awesome work environment with freedom to define what you develop - Learning and Technical challenges that bring out your best Qualification Bachelor’s degree in engineering, or a related technical field. Minimum of 8 years of experience in project management, technical leadership, or problem-solving roles within a complex engineering, product development, or manufacturing environment. Proven experience in leading cross-functional teams and driving consensus among diverse stakeholders. Strong understanding and practical application of structured problem-solving methodologies (e.g., 8D, DMAIC, A3). Excellent communication, presentation, and interpersonal skills, with the ability to articulate complex technical information to both technical and non-technical audiences. Demonstrated ability to manage multiple priorities and projects simultaneously in a fast-paced environment. Knowledge of charging system standards is an advantage Should have good communication skills/ knowledge of German language is an advantage. Why Join Us? Be part of a purpose-driven organization that is shaping the future of mobility Work on cutting-edge technologies and global projects Thrive in a collaborative, diverse, and inclusive environment Access world-class infrastructure and continuous learning opportunities Equal Opportunity Statement At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "PF Speaker and BTV for Charging components at Mercedes-Benz Research and Development India. Skills: Charging system components, Issue resolution, Stakeholder management. Develop charging system components. Support charging system components", "createdAt" : "2026-06-14T06:02:14.586", "lastUpdated" : "2026-06-15T04:58:39.323", "ingestTimestamp" : "2026-06-14T06:02:14.586", "mongoId" : "69ce5e3b9bc74574cb67799e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Root cause analysis", "Issue resolution lifecycle", "Problem-solving methodologies", "Charging system components", "Issue resolution", "Stakeholder management", "Technical leadership", "Cross-functional collaboration", "Process improvement", "Project management", "Agile", "SAFe", "Issue tracking tools", "Project management tools", "Charging system standards", "8D", "5 Why", "Ishikawa", "DMAIC", "A3" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "evaluate databases and complete all data entry for warranty claims and filings jobs", "metadata" : { "title" : "evaluate databases and complete all data entry for warranty claims and filings" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 43319, "totalPages" : 867, "hasNext" : true, "hasPrevious" : false } }

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