{ "count" : 44387, "data" : [ { "id" : "6a2c8db274d8ee00a0979a9b", "title" : "Inspections Helper", "company" : "Firetrol Protection Systems", "industry" : "Construction", "location" : "Freeport, Florida, United States", "locations" : [ "Freeport, Florida, United States" ], "timestamp" : "2026-06-15T09:55:00.877", "fingerprint" : "6291c1a2bbfe77fb58328ae41cb658683613d2a7f860686a9f1e88fbab450e8b", "source" : "workable", "applyUrl" : "https://apply.workable.com/j/955D4E9B63/apply", "externalId" : "955D4E9B63", "industryFunction" : { }, "locationPoint" : "45.66274,-94.69001", "structuredLocations" : [ { "city" : "Freeport", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Freeport, Florida, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 1, "experienceLevel" : "Entry", "hardSkillsList" : [ "fire protection systems", "fire alarm systems", "extinguishing systems" ], "softSkillsList" : [ "customer service" ], "hardSkills" : [ { "name" : "fire protection systems", "level" : "intermediate" }, { "name" : "fire alarm systems", "level" : "intermediate" }, { "name" : "extinguishing systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "customer service" } ], "coreResponsibilities" : "The Inspections Helper will assist in performing routine inspections, testing, and preventative maintenance of fire protection, fire alarm, and extinguishing systems under direct supervision. This role also involves assisting in the diagnosis and evaluation of systems requiring service and troubleshooting issues encountered during inspections, as well as documenting findings and recommendations.", "documentationSkills" : "inspection findings", "continuousLearning" : "Sponsors training and education opportunities.", "problemSolvingSkills" : "troubleshooting", "qualificationsBasic" : "Must have a clean background and be able to pass a drug screening. Must possess or be willing to obtain applicable state licenses.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Founded in 1984, Firetrol is the national leader in fire protection & life safety services. We are currently seeking Inspection Helpers to join our team of over 1200 of the best fire protection professionals in the industry. * Assist in the performance of routine inspections, testing, and preventative maintenance of fire protection systems, fire alarm systems, and extinguishing systems under direct supervision. * Assist in the diagnoses and evaluation of systems that require servicing as well as assisting in troubleshooting issues that arise during inspections. * Assist in the documentation of inspection findings and recommendations. **Requirements** * Clean Background and ability to pass drug screening. * Must possess or be willing to obtain applicable state licenses in accordance with a career path that will be developed for the employee. * Proven record of providing excellent customer service and care. **Benefits** Firetrol offers competitive wages and top-of-the-line benefits that include health, dental vision, life insurance, short and long term disability, generous paid time off practice and a 401(k) plan with a generous company match and immediate vesting. Additionally, sponsors training and education opportunities. Finally, Firetrol offers career growth opportunities, not just a job.", "summaryDescription" : "Inspections Helper at Firetrol Protection Systems. The Inspections Helper will assist in performing routine inspections, testing, and preventative maintenance of fire protection, fire alarm, and extinguishing systems under direct supervision. This role also involves assisting in the diagnosis and evaluation of systems requiring service and troubleshooting issues encountered during inspections, as well as documenting findings and recommendations.", "postedDate" : "2026-06-11T00:00:00.000", "createdAt" : "2026-06-14T21:43:38.251", "lastUpdated" : "2026-06-15T09:55:00.877", "ingestTimestamp" : "2026-06-14T21:43:38.251", "mongoId" : "6a2c8db274d8ee00a0979a9b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/955D4E9B63", "hasSalary" : false, "allSkills" : [ "fire protection systems", "fire alarm systems", "extinguishing systems", "customer service" ], "skillCount" : 4, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 799.4022, "daysOld" : 4, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2ca50574d8ee00a09b441d", "title" : "Performance Testing Lead", "company" : "Kunai", "industry" : "FinTech", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Performance Testing Lead in the US FinTech industry, adjusted for remote work and company size." }, "location" : "Remote - United States", "locations" : [ "Remote - United States", "Richmond", "Virginia", "United States" ], "timestamp" : "2026-06-15T13:47:03.011", "fingerprint" : "3cc99de15edcfadfde2d69803e8be5c40a86f0c5fae02088074a565d107385a4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/kunai/jobs/5162285007", "externalId" : "5162285007", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's Degree", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, Java, Scala, JavaScript, Shell", "professionalSkills" : [ "Server-side capabilities", "Digital products" ], "hardSkillsList" : [ "Scripting" ], "hardSkills" : [ { "name" : "Scripting", "level" : "intermediate" } ], "majorSkills" : "Performance Testing, Quality Assurance", "majorSkillsList" : [ "Performance Testing", "Quality Assurance" ], "coreResponsibilities" : "Define scalable server-side capabilities, Build scalable server-side capabilities, Test scalable server-side capabilities, Launch scalable server-side capabilities, Define digital products, Build digital products, Test digital products, Launch digital products, Lead testing, Lead quality assurance", "teamCollaboration" : "Client stakeholders; Internal engineering teams", "domainKnowledge" : "Banking; Fintech; Financial services; Regulated environments; Secure SDLC", "domainList" : [ "banking", "fintech", "financial-services", "regulated-environments", "secure-sdlc" ], "domainSpecificKnowledge" : [ "Banking", "Fintech", "Financial services", "Regulated environments", "Secure SDLC" ], "toolProficiency" : [ "Iliad T3", "JMeter", "LoadRunner", "Gatling", "K6", "Splunk", "Datadog" ], "continuousLearning" : "Professional development", "innovationCreativity" : "Innovation", "qualificationsBasic" : "5+ years experience, Bachelor's Degree", "qualificationsPreferred" : "Experience with cloud environments, Experience with CI/CD practices, Background with regulated environments, Background with secure SDLC practices", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world’s relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered. We are seeking a client-facing Performance Testing Lead to join our professional services team and lead testing and quality assurance for banking and fintech clients. In this full-time role, you will partner closely with client stakeholders and internal engineering teams to define, build, test, and launch scalable server-side capabilities and digital products. Required Skills: Experience with Iliad T3 Hands on experience with JMeter, LoadRunner, Gatling, or k6. Strong familiarity with Splunk and Datadog Scripting skills in Python, Java, Scala, JavaScript, or Shell Preferred Qualifications Experience working with cloud environments (AWS, Azure, or GCP) and CI/CD practices Background working with regulated environments and secure SDLC practices Our success over the past 20 years is rooted in our exceptional team, which thrives in a culture of collaboration, creativity, and continuous learning. We are proud to offer our employees a range of benefits, including competitive compensation, professional development opportunities, and flexible work arrangements, all designed to help them thrive. As we continue to expand, we remain committed to cultivating an environment where people feel valued, have a voice, and are given the tools to grow—both personally and professionally—while pushing the boundaries of innovation in the fintech industry. Minimum Degree Required: Bachelor’s Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required", "summaryDescription" : "Performance Testing Lead at Kunai. Skills: Performance Testing, Quality Assurance. Define scalable server-side capabilities. Build scalable server-side capabilities", "postedDate" : "2026-06-14T03:43:22.101", "createdAt" : "2026-06-14T03:43:22.101", "lastUpdated" : "2026-06-15T13:47:03.011", "ingestTimestamp" : "2026-06-14T03:43:22.101", "mongoId" : "6a2ca50574d8ee00a09b441d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Scripting", "Performance Testing", "Quality Assurance", "Server-side capabilities", "Digital products", "Banking", "Fintech", "Financial services", "Regulated environments", "Secure SDLC", "Iliad T3", "JMeter", "LoadRunner", "Gatling", "K6", "Splunk", "Datadog" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 777.88055, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306ee8f292fd229cfe2d4e", "title" : "Senior Engineer, Test & Evaluation (R5141)", "company" : "Shield AI", "industry" : "X-BAT Engineering - System Engineering & Integrated Test", "salary" : { "min" : 140000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Dallas, Texas", "locations" : [ "Dallas, Texas" ], "timestamp" : "2026-06-16T13:15:57.337", "fingerprint" : "a08035b099426bb2d3cfbcd12c97eaa01abcb4d8ed3dbbbbc4c6c8b83d06ed52", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/shieldai/ef4ee6b8-9a11-4870-bbbd-1140f1434cef/apply", "externalId" : "ef4ee6b8-9a11-4870-bbbd-1140f1434cef", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "## Description Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: We are looking for a driven and hands-on test professional to support aircraft and system testing in a fast-paced aerospace environment on our XBAT program. This role is ideal for someone who enjoys solving complex problems, working closely with cross-functional teams, and seeing projects move from early development through production and flight operations. The right candidate will have experience planning and executing tests for UAV or manned aircraft platforms and be comfortable building test plans and procedures from the ground up. This individual should be organized, adaptable, and detail-oriented, with the ability to manage multiple test activities while maintaining a strong focus on safety, quality, and mission success. ## What you'll do Manage and maintain traceability of test requirements throughout system development, integration, and test execution phases. Plan, coordinate, and execute aircraft/lab test execution activities, including pre-test readiness reviews, test conduct, data collection, and post-test reporting. Coordinate test schedules and support comprehensive test planning activities to ensure alignment with program milestones and objectives. Develop and manage test event sequencing and execution plans throughout the aircraft build and integration lifecycle. Coordinate and oversee ground and flight test execution activities, ensuring adherence to approved procedures, safety requirements, and program objectives. Ensure test activities, methodologies, and deliverables align with engineering, mission, and program requirements. Participate in Test Readiness Reviews (TRRs), test planning meetings, and pre-test briefings to support successful test execution. Develop, maintain, and continuously improve test procedures to enhance accuracy, efficiency, repeatability, and overall execution quality. Investigate, troubleshoot, and evaluate test anomalies, discrepancies, and system performance issues to support timely resolution. Collaborate closely with Test Engineering, Quality Engineering, and cross-functional teams to resolve issues, implement corrective actions, and improve test processes. Drive continuous improvement initiatives focused on increasing test efficiency, execution quality, and operational effectiveness. Support extended work hours, shift work, and weekend operations as required to meet test schedules, flight operations, and program commitments. ## Required qualifications Bachelor's degree in Engineering or related technical field and 5+ years of relevant aerospace, aircraft test, or flight test experience; or equivalent combination of education and experience. Experience planning, executing, and reporting on test activities for UAV, UAS, or manned aircraft systems. Ability to read, interpret, and understand engineering drawings, schematics, and technical documentation. Experience developing aircraft test plans, test procedures, and test documentation for new or modified aircraft systems. Hands-on experience supporting aircraft integration, test, and validation activities in a production or manufacturing environment. Ability to troubleshoot complex aircraft, avionics, and system integration issues during test activities. Strong written and verbal communication skills with the ability to collaborate effectively across cross-functional teams. Demonstrated attention to detail with a proactive, safety-focused approach to testing and operations. Ability to obtain and maintain a DoD Secret security clearance and any required program access. Willingness to work non-standard hours, including evenings and weekends, as required to support program objectives. Ability to travel domestically to support flight test and customer site activities. ## Preferred qualifications Active DoD Secret security clearance (current preferred) with eligibility to support special access programs. Experience supporting Group 5 UAS/UAV launch, recovery, and flight operations. Hands-on experience with aircraft avionics systems, integration, troubleshooting, and testing. Aircraft maintenance experience supporting military, commercial, or unmanned aircraft platforms. Experience conducting laboratory-based testing, verification, and validation of aircraft systems, subsystems, or components. ## Additional Information #LI-AD6 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. ", "summaryDescription" : "Senior Engineer, Test & Evaluation (R5141) at Shield AI", "postedDate" : "2026-06-15T19:59:02.583", "createdAt" : "2026-06-15T19:59:02.583", "lastUpdated" : "2026-06-16T13:15:57.337", "ingestTimestamp" : "2026-06-16T03:25:08.688", "mongoId" : "6a306ee8f292fd229cfe2d4e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 140000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 777.1485, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca50574d8ee00a09b441c", "title" : "Performance Test Engineer", "company" : "Kunai", "industry" : "FinTech", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Performance Test Engineer in the US FinTech industry, adjusted for remote work." }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-15T12:32:00.087", "fingerprint" : "29e89d284a992f36600a4808eb3b68f5763eb539e49ecbfca6130d8e9efa6fab", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/kunai/jobs/5162305007", "externalId" : "5162305007", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's Degree", "technicalSkills" : "Python, Java, Scala, JavaScript, Shell", "professionalSkills" : [ "Quality assurance", "Server-side capabilities", "Digital products" ], "hardSkillsList" : [ "Scripting skills" ], "hardSkills" : [ { "name" : "Scripting skills", "level" : "intermediate" } ], "majorSkills" : "Performance testing, Quality assurance", "majorSkillsList" : [ "Performance testing", "Quality assurance" ], "coreResponsibilities" : "Conduct testing, Build scalable capabilities, Test scalable capabilities, Launch scalable capabilities, Build digital products, Test digital products, Launch digital products", "teamCollaboration" : "Client stakeholders; Internal engineering teams", "domainKnowledge" : "Banking; Fintech; Financial services", "domainList" : [ "banking", "fintech", "financial-services" ], "domainSpecificKnowledge" : [ "Banking", "Fintech", "Financial services" ], "toolProficiency" : [ "Iliad T3", "JMeter", "LoadRunner", "Gatling", "K6", "Splunk", "Datadog" ], "continuousLearning" : "Continuous learning", "innovationCreativity" : "Innovation", "qualificationsBasic" : "Bachelor's Degree, 5+ years experience, 3 years specialized training", "qualificationsPreferred" : "Experience with cloud environments, Experience with CI/CD practices, Background with regulated environments, Background with secure SDLC practices", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world’s relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered. We are seeking a client-facing Performance Testing Engineer to join our professional services team and conduct testing and quality assurance for banking and fintech clients. In this full-time role, you will work closely with client stakeholders and internal engineering teams to define, build, test, and launch scalable server-side capabilities and digital products. Required Skills: Experience with Iliad T3 Hands on experience with JMeter, LoadRunner, Gatling, or k6. Strong familiarity with Splunk and Datadog Scripting skills in Python, Java, Scala, JavaScript, or Shell Preferred Qualifications Experience working with cloud environments (AWS, Azure, or GCP) and CI/CD practices Background working with regulated environments and secure SDLC practices Our success over the past 20 years is rooted in our exceptional team, which thrives in a culture of collaboration, creativity, and continuous learning. We are proud to offer our employees a range of benefits, including competitive compensation, professional development opportunities, and flexible work arrangements, all designed to help them thrive. As we continue to expand, we remain committed to cultivating an environment where people feel valued, have a voice, and are given the tools to grow—both personally and professionally—while pushing the boundaries of innovation in the fintech industry. Minimum Degree Required: Bachelor’s Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required", "summaryDescription" : "Performance Test Engineer at Kunai. Skills: Performance testing, Quality assurance. Conduct testing. Build scalable capabilities", "postedDate" : "2026-06-13T21:52:23.716", "createdAt" : "2026-06-13T21:52:23.716", "lastUpdated" : "2026-06-15T12:32:00.087", "ingestTimestamp" : "2026-06-13T21:52:23.716", "mongoId" : "6a2ca50574d8ee00a09b441c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Scripting skills", "Performance testing", "Quality assurance", "Server-side capabilities", "Digital products", "Banking", "Fintech", "Financial services", "Iliad T3", "JMeter", "LoadRunner", "Gatling", "K6", "Splunk", "Datadog" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 765.2758, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c64ca74d8ee00a08fbd82", "title" : "Performance Measurement and Evaluation Intern", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for an entry-level intern position in Long Island City, United States, with adjustments for industry and seniority." }, "location" : "Long Island City, NY", "locations" : [ "Long Island City, NY" ], "timestamp" : "2026-06-15T08:23:11.094", "fingerprint" : "a606163a290a0313632e38fa9d0ce3b7cd04f125e27888ad2ffad23240eda384", "source" : "jazzhr", "language" : "en", "externalId" : "kJZjnqD64H", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Long Island City", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7455316,-73.9484995" } ], "locationText" : "Long Island City, New York, United States", "employmentType" : "INTERNSHIP", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Performance Measurement and Evaluation Intern", "createdAt" : "2026-06-14T00:10:08.150", "lastUpdated" : "2026-06-15T08:23:11.094", "ingestTimestamp" : "2026-06-14T00:10:08.150", "mongoId" : "6a2c64ca74d8ee00a08fbd82", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.44444445, "_score" : 745.9379, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c94e574d8ee00a098bd4f", "title" : "Monitoring and Evaluation Specialist", "company" : "Dexis", "industry" : "Government", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Monitoring and Evaluation Specialist in Washington, D.C., adjusted for the healthcare industry and company size." }, "location" : "Washington, District of Columbia, United States", "locations" : [ "Washington", "District of Columbia", "United States" ], "timestamp" : "2026-06-15T06:57:43.252", "fingerprint" : "ae68f223da997581d9788150c0ad44e2a8e14d32842dbabc04182bb4f8bd17ed", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://dexisonline.com/jobs/?gh_jid=4705619005", "externalId" : "4705619005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Program monitoring", "Evaluation research", "Performance management", "Data analysis", "Data visualization", "Technical assistance", "Methodology refinement", "Stakeholder coordination", "Data synthesis", "Report preparation", "Dissemination strategy", "Archiving strategy", "Project reporting", "Presentation development", "Briefing development", "Compliance assurance", "Data standards", "Process improvement" ], "hardSkillsList" : [ "Evaluation research", "Implementation research", "Global health security", "International public health", "Federal agency support", "Data collection systems", "Database management", "Analytical tools", "Technical reporting", "Presentation delivery", "Task management", "Deadline management", "Data visualization", "Dashboard development", "Stakeholder engagement", "Technical assistance delivery" ], "softSkillsList" : [ "Trust", "Respect", "Fairness", "Inclusiveness" ], "hardSkills" : [ { "name" : "Evaluation research", "level" : "intermediate" }, { "name" : "Implementation research", "level" : "intermediate" }, { "name" : "Global health security", "level" : "intermediate" }, { "name" : "International public health", "level" : "intermediate" }, { "name" : "Federal agency support", "level" : "intermediate" }, { "name" : "Data collection systems", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Analytical tools", "level" : "intermediate" }, { "name" : "Technical reporting", "level" : "intermediate" }, { "name" : "Presentation delivery", "level" : "intermediate" }, { "name" : "Task management", "level" : "intermediate" }, { "name" : "Deadline management", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Dashboard development", "level" : "intermediate" }, { "name" : "Stakeholder engagement", "level" : "intermediate" }, { "name" : "Technical assistance delivery", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Trust" }, { "name" : "Respect" }, { "name" : "Fairness" }, { "name" : "Inclusiveness" } ], "majorSkills" : "Monitoring and Evaluation, Global Health Security, Data Analysis, Technical Assistance", "majorSkillsList" : [ "Monitoring and Evaluation", "Global Health Security", "Data Analysis", "Technical Assistance" ], "coreResponsibilities" : "Maintain data collection platforms, Enhance data collection platforms, Track program implementation, Support FETP monitoring, Collect program data, Validate program data, Manage program data, Support performance tracking, Develop data analysis products, Develop visualization products, Report implementation progress, Train stakeholders, Train country offices, Train implementing partners, Provide technical assistance, Support evaluation tool design, Support evaluation methodology refinement, Coordinate evaluation activities, Conduct data collection, Conduct data analysis, Conduct data synthesis, Support evaluation efforts, Prepare written reports, Prepare oral reports, Summarize evaluation findings, Summarize evaluation conclusions, Summarize evaluation recommendations, Support dissemination of products, Support archiving of products, Prepare project status reports, Align reports with work plans, Align reports with reporting requirements, Assist in presentation development, Assist in briefing development, Ensure compliance with reporting requirements, Ensure compliance with data collection standards, Support process improvement", "teamCollaboration" : "Country offices; Implementing partners; CDC staff; Global stakeholders", "projectManagementSkills" : [ "Work plans", "Reporting requirements" ], "domainKnowledge" : "Global health security; Public health initiatives; Field Epidemiology Training Program; International public health programs; Federal reporting requirements; Data collection standards", "domainList" : [ "global-health-security", "public-health-initiatives", "field-epidemiology-training-program", "international-public-health-programs", "federal-reporting-requirements", "data-collection-standards" ], "domainSpecificKnowledge" : [ "Global health security", "Public health initiatives", "Field Epidemiology Training Program", "International public health programs", "Federal reporting requirements", "Data collection standards" ], "toolProficiency" : [ "Data collection platforms", "Databases", "Analytical tools", "Data visualization tools", "Dashboard development tools" ], "communicationSkills" : "Technical reports; Presentations; Briefings", "documentationSkills" : "Technical reports", "problemSolvingSkills" : "Data analysis; Data synthesis", "specialRequirements" : "International travel", "outcomesObjectives" : "Assess program effectiveness; Assess program efficiency; Assess program impact; Support evidence-based decision-making", "qualificationsBasic" : "Master's degree in Public Health, 4+ years M&E experience, 2+ years global health experience, Federal agency experience, Data collection systems experience, Database management experience, Analytical skills, Writing skills, Communication skills, Manage multiple tasks, Meet reporting deadlines", "qualificationsPreferred" : "FETP experience, Workforce development experience, CDC experience, International technical assistance experience, Data visualization proficiency, Dashboard development proficiency, Train diverse audiences, Facilitate stakeholder engagement", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U. S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position The Monitoring and Evaluation (M&E) Specialist will provide technical support to the Office of Monitoring and Evaluation (OME), Division of Global Health Protection (DGHP), Global Health Center (GHC), in support of program monitoring and evaluation activities. The Specialist will contribute to strengthening global health security by supporting the monitoring, evaluation, and performance management of DGHP-supported programs, including the Field Epidemiology Training Program (FETP) and other public health initiatives. This position supports implementation monitoring, evaluation activities, and reporting to assess program effectiveness, efficiency, and impact, while contributing to evidence-based decision-making across the Division. The position may be performed at a government facility, remotely, or in a hybrid arrangement and may include international travel to support country-level technical assistance. This position is contingent upon award. Responsibilities Maintain and enhance data collection platforms and databases to track program implementation, including tools supporting FETP monitoring Collect, validate, and manage quarterly program data to support performance tracking Develop data analysis and visualization products to report on implementation progress Train stakeholders, including country offices and implementing partners, on monitoring tools and systems Provide technical assistance to DGHP-supported country programs, including international travel to support monitoring activities Support design, refinement, and implementation of evaluation tools and methodologies Coordinate evaluation activities across program stakeholders Conduct data collection, analysis, and synthesis to support evaluation efforts Prepare written and oral reports summarizing evaluation findings, conclusions, and recommendations Support dissemination and archiving of evaluation products Support preparation of project status reports aligned with program work plans and reporting requirements Assist in development of presentations, briefings, and other communication products for stakeholders Collaborate with CDC staff, implementing partners, and global stakeholders Ensure compliance with federal reporting requirements and data collection standards Support continuous improvement of monitoring, evaluation, and learning processes across DGHP Qualifications Master’s degree in Public Health, Epidemiology, Global Health, or a related field Minimum of 4 years of experience in public health program monitoring, evaluation, or implementation research At least 2 years of experience in global health security or related international public health programs Demonstrated experience supporting or working with federal agencies on similar monitoring and evaluation activities Experience with data collection systems, database management, and analytical tools Strong analytical, writing, and communication skills, including preparation of technical reports and presentations Ability to manage multiple tasks and meet reporting deadlines in a dynamic environment Preferred Qualifications Experience supporting Field Epidemiology Training Programs (FETP) or workforce development initiatives Experience working with CDC or similar public health agencies Experience delivering technical assistance in international settings Proficiency in data visualization, reporting tools, and dashboard development Experience training diverse audiences and facilitating stakeholder engagement Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law. As part of a competitive benefits package for eligible employees, Dexis provides healthcare insurance in addition to other staff welfare benefits and perks.", "summaryDescription" : "Monitoring and Evaluation Specialist at Dexis. Skills: Monitoring and Evaluation, Global Health Security, Data Analysis, Technical Assistance. Maintain data collection platforms. Enhance data collection platforms", "postedDate" : "2026-06-14T08:35:46.700", "createdAt" : "2026-06-14T08:35:46.700", "lastUpdated" : "2026-06-15T06:57:43.252", "ingestTimestamp" : "2026-06-14T08:35:46.700", "mongoId" : "6a2c94e574d8ee00a098bd4f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Evaluation research", "Implementation research", "Global health security", "International public health", "Federal agency support", "Data collection systems", "Database management", "Analytical tools", "Technical reporting", "Presentation delivery", "Task management", "Deadline management", "Data visualization", "Dashboard development", "Stakeholder engagement", "Technical assistance delivery", "Trust", "Respect", "Fairness", "Inclusiveness", "Monitoring and Evaluation", "Global Health Security", "Data Analysis", "Technical Assistance", "Program monitoring", "Performance management", "Data analysis", "Technical assistance", "Methodology refinement", "Stakeholder coordination", "Data synthesis", "Report preparation", "Dissemination strategy", "Archiving strategy", "Project reporting", "Presentation development", "Briefing development", "Compliance assurance", "Data standards", "Process improvement", "Work plans", "Reporting requirements", "Public health initiatives", "Field Epidemiology Training Program", "International public health programs", "Federal reporting requirements", "Data collection standards", "Data collection platforms", "Databases", "Data visualization tools", "Dashboard development tools" ], "skillCount" : 51, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 740.9039, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a660874d8ee00a062b9f4", "title" : "Product Test Engineer", "company" : "Amazon Web Services Taiwan Limited", "industry" : "Hardware Development, Cloud Hardware Development, Cloud Computing", "salary" : { "min" : 1600000.0, "max" : 2400000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Product Test Engineer in Taipei City, Taiwan, adjusted for the technology industry and a large company size." }, "location" : "Taipei City, TWN", "locations" : [ "Taipei City, TWN" ], "timestamp" : "2026-06-16T02:24:16.298", "fingerprint" : "4c00d2b86102f70c6ccf8d6e1e6516e086d3bc6170512b7440052b3d63f4f64d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10443179/apply", "externalId" : "f5279445-d6cc-4433-8714-a71a010d0fd3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Taipei City", "country" : "Taiwan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "25.0863700,121.4795473" } ], "locationText" : "Taipei City, Taiwan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C/C++, Python, Java, Perl, Linux, RHEL, Ubuntu, Solaris, Batch, VB, PowerShell, C#, Chef, Ruby, PHP", "professionalSkills" : [ "System design", "Systems thinking" ], "hardSkillsList" : [ "System-level test", "Functional testing", "Performance testing", "Product validation", "Integration testing", "System performance", "Hardware/software interaction", "Manufacturing processes" ], "hardSkills" : [ { "name" : "System-level test", "level" : "intermediate" }, { "name" : "Functional testing", "level" : "intermediate" }, { "name" : "Performance testing", "level" : "intermediate" }, { "name" : "Product validation", "level" : "intermediate" }, { "name" : "Integration testing", "level" : "intermediate" }, { "name" : "System performance", "level" : "intermediate" }, { "name" : "Hardware/software interaction", "level" : "intermediate" }, { "name" : "Manufacturing processes", "level" : "intermediate" } ], "majorSkills" : "ML hardware testing, System-level challenges, Test infrastructure", "majorSkillsList" : [ "ML hardware testing", "System-level challenges", "Test infrastructure" ], "coreResponsibilities" : "Design system-level test strategies, Implement system-level test strategies, Develop functional tests, Develop performance tests, Create scalable test infrastructure, Maintain scalable test infrastructure, Implement product bring-up procedures, Implement first-boot test procedures, Drive improvements in test coverage, Drive improvements in product quality, Drive improvements in manufacturing efficiency, Collaborate with hardware teams, Collaborate with software teams, Ensure end-to-end product validation, Analyze system-level test data, Identify integration issues, Resolve integration issues, Debug hardware/software interactions, Develop documentation for test procedures, Develop documentation for manufacturing processes, Maintain documentation for test procedures, Maintain documentation for manufacturing processes, Optimize test workflows", "teamCollaboration" : "Cross-functional teams; Hardware designers; Software engineers; Operations specialists", "domainKnowledge" : "AI infrastructure; ML acceleration hardware; Custom silicon; Complex firmware; High-performance ML workloads; Data center environments", "domainList" : [ "ai-infrastructure", "ml-acceleration-hardware", "custom-silicon", "complex-firmware", "high-performance-ml-workloads", "data-center-environments" ], "domainSpecificKnowledge" : [ "AI infrastructure", "ML acceleration hardware", "Custom silicon", "Complex firmware", "High-performance ML workloads", "Data center environments" ], "documentationSkills" : "Documentation for test procedures; Documentation for manufacturing processes", "continuousLearning" : "Knowledge-sharing; Mentorship; Career-advancing resources", "problemSolvingSkills" : "Debugging complex interactions; Resolving integration issues; Solving complex system-level challenges", "outcomesObjectives" : "Ensure highest standards of reliability; Ensure highest standards of efficiency", "qualificationsBasic" : "Bachelor's degree in Computer Science, 5+ years integration, testing and automation experience, Knowledge of C/C++, Python, Java or Perl, Experience in Linux/RHEL or Ubuntu/Solaris, Experience with programming/scripting, Knowledge of SoC architecture", "qualificationsPreferred" : "Experience in high-volume manufacturing, Experience developing high quality test plans, Experience developing test designs, Experience developing test strategies, Experience developing test execution, 4+ years test automation frameworks building experience, 4+ years test automation tools building experience, Experience debugging and systems analysis, Experience programmatically testing products, Experience measuring test coverage, Experience developing best automation, Experience driving testability, Experience driving diagnostic", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Shape the future of AI infrastructure! Join AWS and develop system-level test solutions for our innovative ML acceleration hardware, deployed across our global server fleet. Annapurna Labs (our organization within AWS) design hardware and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. We're seeking highly skilled and motivated Product Test Engineers to join our Machine Learning Acceleration team at Annapurna Labs. In this role, you'll be at the forefront of validating and ensuring the quality of our advanced ML hardware systems as they transition from development to large-scale deployment across AWS's vast server fleet. You'll be responsible for designing and implementing comprehensive system-level test strategies that cover the full spectrum of our ML acceleration products, from individual components to fully integrated systems. This position requires a unique blend of hardware knowledge, software expertise, and systems thinking, as you'll be working at the intersection of custom silicon, complex firmware, and high-performance ML workloads. You'll collaborate closely with cross-functional teams including hardware designers, software engineers, and operations specialists to develop robust test solutions that can scale to meet the demands of AWS's global infrastructure. Your work will be crucial in identifying and resolving integration issues, optimizing system performance, and ultimately ensuring that our ML acceleration products meet the highest standards of reliability and efficiency in real-world data center environments. If you're passionate about pushing the boundaries of ML hardware testing and have a knack for solving complex system-level challenges, we want you on our team. Key job responsibilities * Design and implement system-level test strategies for ML acceleration products * Develop comprehensive functional and performance tests for complete ML systems * Create and maintain scalable test infrastructure for high-volume product validation * Implement product bring-up and first-boot test procedures * Drive improvements in test coverage, product quality, and manufacturing efficiency * Collaborate with hardware and software teams to ensure end-to-end product validation * Analyze system-level test data to identify and resolve integration issues * Debug complex hardware/software interactions in a production environment * Develop and maintain documentation for system test procedures and manufacturing processes * Optimize test workflows to balance thoroughness with production efficiency A day in the life Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and , inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. About the team Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. *Diverse Experiences* Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. *Work/Life Balance* We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. *Inclusive Team Culture* Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. *Mentorship and Career Growth* We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.\" Basic Qualifications: - Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering - 5+ years of integration, testing and automation experience - Knowledge of programming languages such as C/C++, Python, Java or Perl - Experience in Linux/RHEL, or experience in Ubuntu/Solaris and experience with programming/scripting (Batch, VB, PowerShell, Java, C#, Chef, Perl, Ruby and/or PHP) - Knowledge of SoC architecture Preferred Qualifications: - Experience in high-volume manufacturing environments - Experience developing high quality test plans, test designs, test strategies, and test execution - 4+ years of test automation frameworks and tools building experience - Experience debugging and systems analysis to identify and quickly resolve or mitigate issues - Experience programmatically testing products, measuring test coverage, developing the best automation, driving testability and diagnostic 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" : "Product Test Engineer at Amazon Web Services Taiwan Limited. Skills: ML hardware testing, System-level challenges, Test infrastructure. Design system-level test strategies. Implement system-level test strategies", "postedDate" : "2026-06-14T20:22:11.184", "createdAt" : "2026-06-14T20:22:11.184", "lastUpdated" : "2026-06-16T02:24:16.298", "ingestTimestamp" : "2026-06-14T20:22:11.184", "mongoId" : "6a2a660874d8ee00a062b9f4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10443179/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "System-level test", "Functional testing", "Performance testing", "Product validation", "Integration testing", "System performance", "Hardware/software interaction", "Manufacturing processes", "ML hardware testing", "System-level challenges", "Test infrastructure", "System design", "Systems thinking", "AI infrastructure", "ML acceleration hardware", "Custom silicon", "Complex firmware", "High-performance ML workloads", "Data center environments" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 716.4871, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307640f292fd229c0177dd", "title" : "Senior Product Manager - Integration Testing & Enablement", "company" : "Adyen", "industry" : "FinTech", "salary" : { "min" : 175500.0, "max" : 244500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Product Manager in San Francisco, adjusted for FinTech industry and company size." }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-16T12:06:08.700", "fingerprint" : "badc9d59c0a6fae3e02ae80dc57f3abbc07f27b263c10b6744ce01b173dfd5c7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/adyen/jobs/7988466", "externalId" : "7988466", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Platform product leadership" ], "majorSkills" : "Product strategy, Roadmap development, User stories, Cross-functional collaboration", "majorSkillsList" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration" ], "coreResponsibilities" : "Own the strategy, Define merchant confidence, Drive testability, Accelerate feedback loops, Deliver prescriptive guidance, Lead payments simulation, Own the simulation platform, Enable merchants to test, Balance coverage breadth, Extend testing capabilities, Validate full integration, Drive adoption across teams, Influence product teams, Align stakeholders, Consolidate and simplify, Unify testing tools, Lead deprecation of legacy solutions, Pioneer AI-native testing, Shape AI agent interaction, Ensure platform is machine-readable, Build the full testing journey, Progressively deliver automated validation, Deliver on-demand sandboxes, Provide workflow guidance", "teamCollaboration" : "Multiple product teams; Engineering teams; Operations teams; Commercial teams", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Payments testing; Financial products; Global payment methods; AI coding agents", "domainList" : [ "payments-testing", "financial-products", "global-payment-methods", "ai-coding-agents" ], "domainSpecificKnowledge" : [ "Payments testing", "Financial products", "Global payment methods", "AI coding agents" ], "innovationCreativity" : "Pioneer AI-native testing; AI-Curious", "problemSolvingSkills" : "Debugging tools; Troubleshooting", "outcomesObjectives" : "Merchants go live faster; Higher quality integrations", "qualificationsBasic" : "8+ years product experience, Significant time on platform or infrastructure products", "qualificationsPreferred" : "AI-Curious", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H you are transforming a fragmented testing environment into a seamless, unified platform that gives merchants confidence to go live, faster and with higher quality integrations. Your mission spans the full testing lifecycle: from simulators and automated go-live validation to developer sandboxes, debugging tools, and AI-ready test suites. What You'll Do Own the Strategy: Define how merchants get confidence to go live on Adyen. Drive testability, accelerated feedback loops, and prescriptive guidance delivered through tools that are as useful to AI coding agents as they are to human developers. Lead Payments Simulation: Own the simulation platform that enables merchants to test payment flows end-to-end without requiring live connections. Navigate the inherent complexity of global payment methods, balancing coverage breadth with per-method accuracy across regions. Expand Beyond Payments: Extend testing capabilities so merchants can validate their full integration — not just payments, but across financial products, Uplift, Loyalty, and Giving. Drive Adoption Across Teams: Influence multiple product teams across regions to contribute to and adopt shared testing infrastructure. Align stakeholders from engineering, operations, and commercial teams around shared outcomes. Consolidate and Simplify: Unify a fragmented landscape of testing tools into a coherent, self-service experience. Lead deprecation of legacy solutions with clear timelines and merchant communication. Pioneer AI-Native Testing: Shape how AI agents and automated tools interact with our testing infrastructure. Ensure our platform is machine-readable and developer-tooling friendly, enabling the next generation of integration workflows. Build the Full Testing Journey: Progressively deliver automated go-live validation, on-demand developer sandboxes, and workflow guidance that takes merchants from sign-up to production with minimal friction. What You Need to Succeed DevX Product Leadership: 8+ years of product experience, with significant time on platform or infrastructure products that serve both internal teams and/or external developers. AI-Curious: You proactively discover and implement novel solutions leveraging Agentic AI. You challenge conventional limitations and extend your impact beyond the typical boundaries of product management. Platform we do not offer remote-only roles.", "summaryDescription" : "Senior Product Manager - Integration Testing & Enablement at Adyen. Skills: Product strategy, Roadmap development, User stories, Cross-functional collaboration. Own the strategy. Define merchant confidence", "postedDate" : "2026-06-16T01:19:22.624", "createdAt" : "2026-06-16T01:19:22.624", "lastUpdated" : "2026-06-16T12:06:08.700", "ingestTimestamp" : "2026-06-16T01:19:22.624", "mongoId" : "6a307640f292fd229c0177dd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175500, "salaryAnnualMax" : 244500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform product leadership", "Payments testing", "Financial products", "Global payment methods", "AI coding agents" ], "skillCount" : 9, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 701.98303, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2cea0474d8ee00a0a6f6c0", "title" : "Staff Engineer, Test & Evaluation (R5141)", "company" : "Shield AI", "industry" : "X-BAT Engineering - System Engineering & Integrated Test", "salary" : { "min" : 140000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Dallas, Texas", "locations" : [ "Dallas, Texas" ], "timestamp" : "2026-06-16T01:39:05.492", "fingerprint" : "8a22ca902adea9e56b1135afdb156f90251b06da166ff8c25eaf2e384a4688e3", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/shieldai/dc9cd4bf-fc16-4016-aed4-776029ca3d35/apply", "externalId" : "dc9cd4bf-fc16-4016-aed4-776029ca3d35", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "## Description Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: We are looking for a driven and hands-on test professional to support aircraft and system testing in a fast-paced aerospace environment on our XBAT program. This role is ideal for someone who enjoys solving complex problems, working closely with cross-functional teams, and seeing projects move from early development through production and flight operations. The right candidate will have experience planning and executing tests for UAV or manned aircraft platforms and be comfortable building test plans and procedures from the ground up. This individual should be organized, adaptable, and detail-oriented, with the ability to manage multiple test activities while maintaining a strong focus on safety, quality, and mission success. ## What you'll do Manage and maintain traceability of test requirements throughout system development, integration, and test execution phases. Plan, coordinate, and execute aircraft/lab test execution activities, including pre-test readiness reviews, test conduct, data collection, and post-test reporting. Coordinate test schedules and support comprehensive test planning activities to ensure alignment with program milestones and objectives. Develop and manage test event sequencing and execution plans throughout the aircraft build and integration lifecycle. Coordinate and oversee ground and flight test execution activities, ensuring adherence to approved procedures, safety requirements, and program objectives. Ensure test activities, methodologies, and deliverables align with engineering, mission, and program requirements. Participate in Test Readiness Reviews (TRRs), test planning meetings, and pre-test briefings to support successful test execution. Develop, maintain, and continuously improve test procedures to enhance accuracy, efficiency, repeatability, and overall execution quality. Investigate, troubleshoot, and evaluate test anomalies, discrepancies, and system performance issues to support timely resolution. Collaborate closely with Test Engineering, Quality Engineering, and cross-functional teams to resolve issues, implement corrective actions, and improve test processes. Drive continuous improvement initiatives focused on increasing test efficiency, execution quality, and operational effectiveness. Support extended work hours, shift work, and weekend operations as required to meet test schedules, flight operations, and program commitments. ## Required qualifications Bachelor's degree in Engineering or related technical field and 7+ years of relevant aerospace, aircraft test, or flight test experience; or equivalent combination of education and experience. Experience planning, executing, and reporting on test activities for UAV, UAS, or manned aircraft systems. Ability to read, interpret, and understand engineering drawings, schematics, and technical documentation. Experience developing aircraft test plans, test procedures, and test documentation for new or modified aircraft systems. Hands-on experience supporting aircraft integration, test, and validation activities in a production or manufacturing environment. Ability to troubleshoot complex aircraft, avionics, and system integration issues during test activities. Strong written and verbal communication skills with the ability to collaborate effectively across cross-functional teams. Demonstrated attention to detail with a proactive, safety-focused approach to testing and operations. Ability to obtain and maintain a DoD Secret security clearance and any required program access. Willingness to work non-standard hours, including evenings and weekends, as required to support program objectives. Ability to travel domestically to support flight test and customer site activities. Experience leading aircraft test planning and execution efforts across multiple programs or test events. Demonstrated ability to mentor junior engineers and technicians. Experience coordinating test activities across engineering, manufacturing, operations, and customer stakeholders. Ability to independently develop test strategies and provide technical leadership for complex integration and flight test campaigns ## Preferred qualifications Active DoD Secret security clearance (current preferred) with eligibility to support special access programs. Experience supporting Group 5 UAS/UAV launch, recovery, and flight operations. Hands-on experience with aircraft avionics systems, integration, troubleshooting, and testing. Aircraft maintenance experience supporting military, commercial, or unmanned aircraft platforms. Experience conducting laboratory-based testing, verification, and validation of aircraft systems, subsystems, or components. ## Additional Information #LI-AD6 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. ", "summaryDescription" : "Staff Engineer, Test & Evaluation (R5141) at Shield AI", "postedDate" : "2026-06-12T22:09:22.610", "createdAt" : "2026-06-12T22:09:22.610", "lastUpdated" : "2026-06-16T01:39:05.492", "ingestTimestamp" : "2026-06-14T21:46:35.421", "mongoId" : "6a2cea0474d8ee00a0a6f6c0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 140000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 699.1641, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7b3074d8ee00a0948bb3", "title" : "RAG and Evaluation Engineer", "company" : "LTS", "industry" : "Technology", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Senior RAG and Evaluation Engineer in the United States, adjusted for the technology industry and remote work." }, "location" : "United States - Remote", "locations" : [ "United States - Remote" ], "timestamp" : "2026-06-15T06:35:36.771", "fingerprint" : "c8ac4f60b75f957ac89ea39c07d64f795375dcccacb1a7fcf649282f9414c411", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lts/jobs/4284737009", "externalId" : "4284737009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "technicalSkills" : "TypeScript, Python, RAG, BM25, Embeddings", "professionalSkills" : [ "Benchmarking", "Regression detection" ], "hardSkillsList" : [ "Chunking", "Hybrid retrieval", "Reranking", "LLM-as-judge patterns", "Synthetic data generation" ], "hardSkills" : [ { "name" : "Chunking", "level" : "intermediate" }, { "name" : "Hybrid retrieval", "level" : "intermediate" }, { "name" : "Reranking", "level" : "intermediate" }, { "name" : "LLM-as-judge patterns", "level" : "intermediate" }, { "name" : "Synthetic data generation", "level" : "intermediate" } ], "majorSkills" : "RAG, Evaluation, Retrieval pipelines", "majorSkillsList" : [ "RAG", "Evaluation", "Retrieval pipelines" ], "coreResponsibilities" : "Define metrics, Use AI tooling", "teamCollaboration" : "Fast-paced environment; Collaborative environment", "domainKnowledge" : "Healthcare IT; Legacy modernization", "domainList" : [ "healthcare-it", "legacy-modernization" ], "domainSpecificKnowledge" : [ "Healthcare IT", "Legacy modernization" ], "toolProficiency" : [ "AI tooling", "Agents" ], "innovationCreativity" : "Innovation", "qualificationsBasic" : "Production RAG system, Production retrieval pipelines, Applied evaluation skills, Production experience, Demonstrated experience in remote work", "qualificationsPreferred" : "Code-as-corpus retrieval, Applied IR background, Open-source contributions, Experience integrating feedback loops, Healthcare IT experience, Legacy modernization experience, Public technical writing, Conference talks", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "LTS is seeking a RAG equivalent experience may substitute for the degree requirement. Has shipped a production RAG system with quality the candidate can describe in numbers (rigor matters more than scale). Ability to work in a fast-paced, collaborative environment. Production experience with retrieval pipelines — ingestion, chunking, embedding, hybrid retrieval, reranking. Strong applied evaluation skills — benchmark design, regression detection, LLM-as-judge patterns. Knows when BM25 beats embeddings and when neither is enough. Measures everything they ship; opinions about chunking are backed by benchmarks. Patient with detail; comfortable defining metrics before the team has agreed on them. Heavy native use of AI tooling: agents in parallel, model as collaborator. Strong TypeScript or Python. Demonstrated experience in a remote work environment. Nice to Have: Code-as-corpus retrieval (search over source code rather than prose). Applied IR or search-engine background. Synthetic data generation and LLM-as-judge patterns. Open-source contributions to retrieval, eval, or RAG tooling. Experience integrating retrieval feedback loops with production usage. Healthcare IT or legacy modernization domain experience. Public technical writing or conference talks on retrieval or evaluation. What’s in it for you? The opportunity to support high visibility federal missions in IT and healthcare A culture that values innovation, growth, collaboration, and quality Access to cutting-edge tools and technologies Comprehensive benefits for you and your family A career path that rewards ambition and performance If you’re ready to push boundaries, sharpen your skills, and join a team that is passionate about building what’s next, we’d love to meet you. Apply today and let’s build a future together! LTS shares salary ranges to promote transparency. Compensation ranges are provided for informational purposes, and final compensation may vary based on experience, skills, location, and role requirements. LTS is committed to offering eligible employees comprehensive benefits that will provide them with options intended to meet their needs and the needs of their family.", "summaryDescription" : "RAG and Evaluation Engineer at LTS. Skills: RAG, Evaluation, Retrieval pipelines. Define metrics. Use AI tooling", "postedDate" : "2026-06-13T20:58:18.293", "createdAt" : "2026-06-13T20:58:18.293", "lastUpdated" : "2026-06-15T06:35:36.771", "ingestTimestamp" : "2026-06-13T20:58:18.293", "mongoId" : "6a2c7b3074d8ee00a0948bb3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Chunking", "Hybrid retrieval", "Reranking", "LLM-as-judge patterns", "Synthetic data generation", "RAG", "Evaluation", "Retrieval pipelines", "Benchmarking", "Regression detection", "Healthcare IT", "Legacy modernization", "AI tooling", "Agents" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 699.0303, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb6779c7", "title" : "Infotainment Testing", "company" : "MBRDI", "industry" : "Manufacturing", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Infotainment Testing role in Bangalore, India, adjusted for mid-seniority and full-time employment in the automotive industry." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "Brigade Tech Gardens, Katha No. 119, Kundalahalli Village, K.R. Puram Hobli, Ward No. 85, Bangalore" ], "timestamp" : "2026-06-15T10:31:09.173", "fingerprint" : "1b44c4505e6daa85c21a10650fc3263192050d7219bf25abb1cb9891d1ea289b", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=885533", "externalId" : "885533", "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" : 2, "experienceMaxYears" : 6, "experienceLevel" : "Mid", "technicalSkills" : "Python, Robot Framework", "professionalSkills" : [ "Problem-solving", "Analytical skills" ], "hardSkillsList" : [ "Test case creation", "Test case execution", "Defect management" ], "softSkillsList" : [ "Communication skills" ], "hardSkills" : [ { "name" : "Test case creation", "level" : "intermediate" }, { "name" : "Test case execution", "level" : "intermediate" }, { "name" : "Defect management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication skills" } ], "majorSkills" : "Manual testing, Test automation", "majorSkillsList" : [ "Manual testing", "Test automation" ], "coreResponsibilities" : "Perform manual testing, Write test cases, Review test cases, Maintain test cases, Write test plans, Review test plans, Maintain test plans, Identify defects, Log defects, Track defects, Collaborate with developers, Collaborate with stakeholders, Support automation efforts, Participate in test strategy discussions, Participate in test reviews, Participate in risk assessments, Validate application behavior", "teamCollaboration" : "Collaborate with developers; Collaborate with stakeholders", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Infotainment systems", "domainList" : [ "infotainment-systems" ], "domainSpecificKnowledge" : [ "Infotainment systems" ], "toolProficiency" : [ "Jira", "TestRail" ], "communicationSkills" : "Communication skills", "documentationSkills" : "Test case documentation", "continuousLearning" : "Learning opportunities", "innovationCreativity" : "Drive innovation", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "outcomesObjectives" : "Ensure quality standards", "qualificationsBasic" : "2–6 years manual testing experience, Understanding of SDLC, Understanding of STLC, Understanding of Agile methodologies, Hands-on test case creation, Hands-on test case execution, Hands-on defect management", "qualificationsPreferred" : "Python automation experience, Robot Framework automation experience", "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. Key responsibilities Perform manual testing of functional, regression, integration, and exploratory test scenarios. Write, review, and maintain test cases and test plans. Identify, log, and track defects using bug tracking tools. Collaborate with developers and stakeholders to ensure quality standards. Support automation efforts using Python and Robot Framework where applicable. Participate in test strategy discussions, reviews, and risk assessments. Validate application behavior across different environments and platforms. Contribute to continuous improvement of QA processes and best practices. Required Skills & Qualifications: 2–6 years of manual testing experience in enterprise or large-scale applications. Strong understanding of SDLC, STLC, and Agile methodologies. Hands-on experience with test case creation, execution, and defect management. Experience with Python and Robot Framework automation is a plus. Knowledge of bug tracking and test management tools (e.g., Jira, TestRail). Excellent analytical, problem-solving, and communication skills. Educational Qualifications: Bachelor’s degree in Computer Science, Information Technology, or related field. 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" : "Infotainment Testing at MBRDI. Skills: Manual testing, Test automation. Perform manual testing. Write test cases", "createdAt" : "2026-06-14T06:44:07.562", "lastUpdated" : "2026-06-15T10:31:09.173", "ingestTimestamp" : "2026-06-14T06:44:07.562", "mongoId" : "69ce5e3b9bc74574cb6779c7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Test case creation", "Test case execution", "Defect management", "Communication skills", "Manual testing", "Test automation", "Problem-solving", "Analytical skills", "Agile methodologies", "Infotainment systems", "Jira", "TestRail" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 695.2601, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7f0074d8ee00a0954452", "title" : "Product Test Engineer (Electrical & Firmware)", "company" : "iFIT", "industry" : "Manufacturing", "salary" : { "min" : 85000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "certifications" : [ "Six Sigma", "Process improvement certification" ], "timestamp" : "2026-06-16T06:21:18.075", "fingerprint" : "e1dde1356c011c1c6e2b9974f4a6b17146fa5f485f07d504e5dce3a5137f0534", "source" : "greenhouse", "language" : "en", "applyUrl" : "http://www.ifit.com/careers?gh_jid=4284327009", "externalId" : "4284327009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Logan", "state" : "Utah", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "41.7313063,-111.8349140" } ], "locationText" : "Logan, Utah, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Firmware Engineering, Electrical Engineering, AI", "professionalSkills" : [ "Process improvement", "Root cause analysis", "Troubleshooting" ], "hardSkillsList" : [ "Test planning", "Test execution", "Validation planning", "Data collection", "Automated reporting" ], "softSkillsList" : [ "Problem-solving", "Solutions-oriented" ], "hardSkills" : [ { "name" : "Test planning", "level" : "intermediate" }, { "name" : "Test execution", "level" : "intermediate" }, { "name" : "Validation planning", "level" : "intermediate" }, { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Automated reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Solutions-oriented" } ], "majorSkills" : "Product testing, Firmware testing, Electrical testing, Validation", "majorSkillsList" : [ "Product testing", "Firmware testing", "Electrical testing", "Validation" ], "coreResponsibilities" : "Support increased product sales, Design test protocols for new products, Design test protocols for product changes, Document each test procedure, Document test results, Document test changes, Document test blockers, Integrate AI solutions into tasks, Develop automated systems for data collection, Develop automated systems for data saving, Make technical contributions, Develop comprehensive test plans, Validate product designs, Verify product designs, Participate in NPI testing, Ensure products meet quality standards, Ensure products meet performance standards, Ensure products meet safety standards, Define test requirements, Drive process improvements, Refine test protocols, Execute test protocols, Execute validation plans, Ensure robust product performance, Lead root cause analysis, Troubleshoot product test failures, Troubleshoot non-conformance issues, Resolve test failures, Prevent future test failures, Ensure compliance with standards, Ensure compliance with industry standards, Champion continuous improvement initiatives, Enhance test efficiency, Enhance product quality, Provide detailed reports, Provide actionable reports, Communicate test findings, Communicate mitigation strategies", "teamCollaboration" : "Cross-functional teams; Product development teams; Manufacturing teams; Quality assurance teams; R&D teams; Design teams", "projectManagementSkills" : [ "NPI testing procedures" ], "domainKnowledge" : "Product testing; Firmware engineering; Electrical engineering; Consumer products; Medical devices; UL standards; CE standards; RoHS standards", "domainList" : [ "product-testing", "firmware-engineering", "electrical-engineering", "consumer-products", "medical-devices", "ul-standards", "ce-standards", "rohs-standards" ], "domainSpecificKnowledge" : [ "Product testing", "Firmware engineering", "Electrical engineering", "Consumer products", "Medical devices", "UL standards", "CE standards", "RoHS standards" ], "toolProficiency" : [ "Test equipment", "Automated testing systems" ], "communicationSkills" : "Present technical data", "documentationSkills" : "Document test procedures; Document test results", "innovationCreativity" : "AI solutions", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Problem-solving; Solutions-oriented", "specialRequirements" : "Authorized to work in the United States", "outcomesObjectives" : "Ensure products meet standards; Enhance test efficiency; Enhance product quality", "qualificationsBasic" : "Bachelor's degree in Engineering, 2+ years of experience, Familiarity with NPI process, Hands-on experience with product testing, Hands-on experience with product validation, Hands-on experience with troubleshooting, Background in test methodologies, Background in test equipment, Background in automated testing processes, Proven ability to work within a cross-functional team, Authorized to work in the United States without sponsorship", "qualificationsPreferred" : "Ability to use AI creatively, Knowledge of industry standards, Knowledge of regulatory requirements, Experience in testing consumer products, Experience in testing medical devices, Familiarity with test automation tools, Familiarity with test automation software, Six Sigma certification, Process improvement certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "iFIT’s vision is to create the world's most holistic health and fitness platform, integrating all elements of health - physical fitness, mental health, nutrition and active recovery - into a seamless interactive experience. We develop proprietary software that learns and adjusts to the habits of each person as it delivers immersive content that guides them on their own individual fitness journey. We are currently seeking an ambitious pacesetter to join our team as a Product Test Engineer (Electrical/Firmware) onsite in Logan, Utah. iFIT is looking for a driven and detail-oriented Product Test Engineer to play a pivotal role in ensuring the quality and reliability of our products through robust testing, validation, and process improvement initiatives. In this role, you will work closely with cross-functional teams — including product development, manufacturing, and quality assurance — to ensure that all products meet or exceed our high standards before they reach the market. Your contributions will drive the testing strategy and ensure the seamless execution of NPI testing procedures, identifying potential risks and improving testing efficiency and accuracy. COMPENSATION $85,000 - $95,000 ROLE COMMITMENTS Support increased product sales by effectively designing test protocols for new products and product changes. Facilitate accurate dissemination of information by properly documenting each test procedure and its results, changes, and blockers. Integrate AI solutions into routine everyday tasks in order to increase efficiency and productivity. Develop automated systems for collecting and saving data to enable more accurate reporting. ESSENTIAL DUTIES AND RESPONSIBILITIES Make technical contributions as part of a team of product test engineers. Develop and implement comprehensive test plans for new product development, ensuring thorough validation and verification of product designs. Participate in the NPI testing process for new designs, ensuring that all products meet quality, performance, and safety standards. Collaborate with cross-functional teams including R&D, Design, Manufacturing, and Quality Assurance to define test requirements, ensure alignment, and drive process improvements. Establish, refine, and execute test protocols, methodologies, and validation plans to ensure robust product performance under various conditions. Lead root cause analysis and troubleshooting for product test failures and non-conformance issues, working with teams to resolve and prevent future occurrences. Ensure compliance and industry standards are met during the testing and validation processes. Champion continuous improvement initiatives, leveraging data and insights to enhance test efficiency and product quality. Provide detailed, actionable reports to senior leadership on test results, progress, and risks, ensuring clear communication of findings and mitigation strategies. EDUCATION & EXPERIENCE Education and Basic Qualifications Bachelor's degree in Engineering, Firmware Engineering, Electrical Engineering, or a related field. 2+ years of experience in product test engineering or validation. Familiarity with the NPI process and hands-on experience with product testing, validation, and troubleshooting. Strong background in test methodologies, test equipment, and automated testing processes. Proven ability to work within a cross-functional team, collaborating with other team members and supporting multiple projects concurrently. Excellent communication skills, with the ability to present complex technical data to non-technical stakeholders. Strong problem-solving skills with a proactive, solutions-oriented mindset. Highly motivated to achieve both team and individual goals. Authorized to work in the United States without sponsorship. Preferred Qualifications Ability to use AI to creatively solve complex problems and create automated testing solutions. Knowledge of industry standards and regulatory requirements related to product testing such as UL, CE, and RoHS. Experience in testing consumer products, medical devices, or similar industries. Familiarity with test automation tools and software. Six Sigma or similar process improvement certification. DISCLAIMER Compensation may vary based on the job level, your geographic work location, position incentive plan, and exemption status. Although we currently may consider hiring in the states listed below, not all positions are available in all locations, and work in a particular state is not guaranteed. Current list of states where iFIT may consider hiring: AK, AL, AR, AZ, CA, CO, CT, FL, GA, ID, IL, IN, KS, KY, LA, MA, MD, MI, MN, MO, MS, NC, NH, NJ, NV, NY, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VA, WA, WI, WY. Subject to applicable state laws, your employment at iFIT is \"at-will\". At-will employment means that you and the company each have the right to terminate the employment relationship at any time for any cause or for no cause at all. Pay Range: $85,000—$95,000 USD iFIT does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, ancestry, mental or physical disability, sexual orientation, gender identity, medical condition, genetic information, marital status, veteran status or any other characteristic protected by law.", "summaryDescription" : "Product Test Engineer (Electrical & Firmware) at iFIT. Skills: Product testing, Firmware testing, Electrical testing, Validation. Support increased product sales. Design test protocols for new products", "postedDate" : "2026-06-14T18:33:11.621", "createdAt" : "2026-06-14T18:33:11.621", "lastUpdated" : "2026-06-16T06:21:18.075", "ingestTimestamp" : "2026-06-14T18:33:11.621", "mongoId" : "6a2c7f0074d8ee00a0954452", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Test planning", "Test execution", "Validation planning", "Data collection", "Automated reporting", "Problem-solving", "Solutions-oriented", "Product testing", "Firmware testing", "Electrical testing", "Validation", "Process improvement", "Root cause analysis", "Troubleshooting", "NPI testing procedures", "Firmware engineering", "Electrical engineering", "Consumer products", "Medical devices", "UL standards", "CE standards", "RoHS standards", "Six Sigma", "Process improvement certification", "Test equipment", "Automated testing systems" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 693.7502, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca5e474d8ee00a09b887d", "title" : "Product Manager - ServiceTrade Inspection Forms", "company" : "ServiceTrade", "industry" : "SaaS", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Product Manager in Durham, United States, adjusted for the technology industry and company size." }, "location" : "Durham, North Carolina, United States", "locations" : [ "Durham", "North Carolina", "United States" ], "timestamp" : "2026-06-15T07:00:50.904", "fingerprint" : "b8e5e15aeff96e9118833e1303471b8781cc32ac04f63362ed4b1e06d6c412f4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://servicetrade.com/company/careers/careers-posting/7769979003?gh_jid=7769979003", "externalId" : "7769979003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Durham", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.9966530,-78.9018053" } ], "locationText" : "Durham, North Carolina, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "JSON schemas", "professionalSkills" : [ "Product strategy", "Roadmap execution", "Stakeholder alignment", "Vendor strategy" ], "hardSkillsList" : [ "Build forms", "QA templates", "Diagnose technical issues" ], "hardSkills" : [ { "name" : "Build forms", "level" : "intermediate" }, { "name" : "QA templates", "level" : "intermediate" }, { "name" : "Diagnose technical issues", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Roadmap, User stories, Cross-functional collaboration", "majorSkillsList" : [ "Product strategy", "Roadmap", "User stories", "Cross-functional collaboration" ], "coreResponsibilities" : "Define and communicate Forms product roadmap, Prioritize feature development, Prioritize enhancements, Prioritize technical debt, Own Forms backlog, Triage open customer escalations, Prioritize open customer escalations, Drive resolution of open customer escalations, Conduct competitive analysis, Conduct customer discovery, Build custom forms, Configure custom forms, QA custom forms, Diagnose form behavior issues, Troubleshoot form behavior issues, Understand integration architecture, Triage technical issues, Guide engineering, Author product requirements, Author user stories, Author acceptance criteria, Serve as product interface, Translate customer needs, Escalate bugs, Manage release coordination, Communicate release plans, Communicate roadmap changes, Communicate escalation status, Provide release notes, Provide enablement documentation, Provide training materials, Lead external contractors, Coordinate external contractors, Own Forms JIRA backlog, Maintain Forms JIRA backlog, Ensure tickets scoped, Ensure tickets prioritized, Ensure tickets assigned, Manage contractor capacity, Assign contractor work, Review contractor deliverables, Ensure quality standards, Establish ticketing standards, Enforce ticketing standards, Establish workflow hygiene, Enforce workflow hygiene, Establish sprint planning, Enforce sprint planning, Serve as primary point, Provide backlog health reporting, Ensure visibility into open work, Ensure visibility into blockers, Ensure visibility into progress, Engage directly with customers, Understand inspection workflows", "teamCollaboration" : "Sales; Account Management; Support; Implementation; Executive stakeholders; Engineering", "projectManagementSkills" : [ "Roadmap", "Backlog management", "Sprint planning" ], "domainKnowledge" : "Fire and life safety; Compliance workflows; Inspection requirements; Industry standards; ServiceTrade ↔ Joyfill integration", "domainList" : [ "fire-and-life-safety", "compliance-workflows", "inspection-requirements", "industry-standards", "servicetrade-joyfill-integration" ], "domainSpecificKnowledge" : [ "Fire and life safety", "Compliance workflows", "Inspection requirements", "Industry standards", "ServiceTrade ↔ Joyfill integration" ], "toolProficiency" : [ "JIRA" ], "communicationSkills" : "Communicate roadmap; Communicate release plans; Communicate status", "documentationSkills" : "Enablement documentation; Training materials; Product requirements; User stories; Acceptance criteria", "problemSolvingSkills" : "Diagnose technical issues; Troubleshoot form behavior; Triage technical issues", "qualificationsBasic" : "Deeply understand fire and life safety compliance workflows, Understand inspection requirements, Understand industry standards, Technical product manager, Own outcomes end to end, Comfortable in customer conversation, Comfortable in technical deep-dive", "qualificationsPreferred" : "Worked in or around fire and life safety", "workSiteFlexibility" : "Onsite", "rawDescription" : "Position Description: At ServiceTrade, you’ll build technology that matters — for your career, your team, and the thousands of commercial contractors who rely on our platform every day. We’re on a mission to partner with commercial trades to deliver technology that enhances technician productivity, improves customer experiences, and drives scalable growth. We’re looking for a Product Manager - ServiceTrade Inspection Forms who’s excited to make an impact. In this role, you will own the product strategy, roadmap, and execution for ServiceTrade's Forms platform—a critical component of our Inspections product used by fire protection, HVAC, and facilities service companies to conduct compliance inspections in the field. This is a high-impact, high-visibility role. You'll manage the integration with our forms vendor, own resolution of customer escalations, define and communicate the Forms roadmap to internal stakeholders, and work directly with customers to understand their workflows and translate them into product requirements. You'll also need to roll up your sleeves: building forms, QA-ing templates, and diagnosing technical issues alongside engineering. This role is not for a pure strategist. You need to be comfortable operating at both 30,000 feet (roadmap, stakeholder alignment, vendor strategy) and in the weeds (building a form, debugging conditional logic, understanding JSON schemas). You must also deeply understand fire and life safety compliance workflows, inspection requirements, and industry standards—this is not a role where you can learn the domain on the job. Why ServiceTrade: You’ll belong here from the start. We bring together kind, curious people with diverse perspectives and trust them with meaningful work. You’ll have ownership, clarity, and support to solve real problems, make a visible impact for our customers, and continue growing as your role evolves. On the Product Management team, you'll have the opportunity to own products that impact real businesses, work closely with customers and engineering, and grow as a product leader in an environment that trusts you to make decisions and rewards initiative. About You: You're a technical product manager who thrives on complexity and owns outcomes end to end. You've worked in or around fire and life safety — you understand the stakes, and that context shapes how you build. You're as comfortable in a customer conversation as you are in a technical deep-dive with engineering, and you move fluidly between strategy and execution without losing momentum. You communicate proactively, hold yourself to a high bar, and when something is a crisis, you already know it before anyone has to tell you. Key Responsibilities and Activities: Product Strategy & Roadmap Define and communicate the Forms product roadmap to Sales, Account Management, Support, Implementation, and executive stakeholders Prioritize feature development, enhancements, and technical debt against customer impact and business value Own the Forms backlog: triage, prioritize, and drive resolution of open customer escalations Conduct competitive analysis and customer discovery to inform product direction Hands-On Execution Build, configure, and QA custom forms for customers using the digital form building platform Diagnose and troubleshoot form behavior issues (conditional logic, data mapping, PDF generation, submission failures) Understand the ServiceTrade ↔ Joyfill integration architecture deeply enough to triage technical issues and guide engineering Author detailed product requirements, user stories, and acceptance criteria for engineering Stakeholder & Vendor Management Serve as the primary product interface with our integration partner: translate customer needs into vendor feature requests, escalate bugs, manage release coordination Communicate release plans, roadmap changes, and escalation status proactively to internal teams Provide release notes, enablement documentation, and training materials to Support and field teams Team Leadership & Workflow Management Lead and coordinate external contractors supporting forms development, QA, and customer delivery Own and maintain the Forms JIRA backlog: ensure tickets are properly scoped, prioritized, and assigned Manage contractor capacity, assign work, review deliverables, and ensure quality standards are met Establish and enforce ticketing standards, workflow hygiene, and sprint planning processes Serve as the primary point of contact for contractor questions, escalations, and performance feedback Provide regular backlog health reporting and ensure visibility into open work, blockers, and progress Customer & Escalation Ownership Engage directly with customers to understand inspection workflows, compliance requirements, and pain points Own resolution of critical customer escalations: drive cross-functional teams to closure, not just track status Recognize when an issue is a true crisis and act decisively—escalate, re-prioritize, and communicate impact Define post-launch success metrics and instrument features to track adoption and business outcomes Knowledge and Skills: Required: 3–5 years of product and/or operations management experience in a technical or B2B SaaS environment Deep familiarity with North American fire and life safety codes and standards, including NFPA, AES, ULC, Joint Commission and related compliance requirements. You understand what inspectors check, how reports are structured, and what compliance documentation must include. Technical depth: You've built integrations, understand APIs/webhooks/data mapping, and can read JSON or debug a form configuration yourself. Bonus if you've worked with low-code/no-code platforms, form builders, or workflow automation tools. Hands-on execution: You're comfortable building, QA-ing, and troubleshooting forms alongside customers and engineering. Customer-facing experience: You've gathered requirements directly from customers, conducted discovery, and translated complex workflows into product specs. Stakeholder communication: You've presented roadmaps, written release notes, and kept cross-functional teams aligned. Crisis judgment: You know when to drop everything and escalate, and when to hold the line. Outcome ownership: You measure whether features work, iterate based on data, and own the result. Preferred: Former contractor, technician, or office staff for a fire and life safety services business—you've lived the workflows our customers use and understand their pain points firsthand. Experience with SaaS products serving field service, compliance, or inspection workflows in fire protection, HVAC, or facilities management. Familiarity with Joyfill, JotForm, Typeform, or similar form/document platforms. Background in solutions engineering, technical account management, or implementation consulting before transitioning to product management. Experience managing vendor/partner integrations and navigating build vs. buy trade-offs. Understanding of mobile app product management (iOS/Android SDKs, offline sync, mobile UX). A few things you’ll want to know: What does ServiceTrade do? ServiceTrade is a best-in-class field service management platform that helps commercial fire protection and mechanical service contractors build efficient and growing businesses. With more than a decade of innovation and 1500 customers, ServiceTrade streamlines operations from the field to the office, boosts technician productivity, and enhances the end-customer experience. Ok, so why should I care about that? Our customers do essential work — often behind the scenes — and our software helps them do it better. They’re smart, hardworking people, and we take pride in helping them grow their businesses, earn more revenue, employ more skilled workers, and deliver greater value to their own customers. When you work at ServiceTrade, your impact extends beyond our walls, supporting communities and markets you might never have thought about — and making work that truly matters every day. What kind of working environment do you have? We’re a growing business focused on building with intention and operating with purpose. You’ll have meaningful responsibility and the trust to do your best work from the start. We encourage calculated risks and bold experimentation, while providing opportunities to learn, grow, and turn today’s lessons into tomorrow’s breakthroughs—all in service of big ambitions and real customer impact. Learn more about our culture and values on our About Us page. What kind of benefits do you offer? Medical through Cigna, PPO and HDHP options, including a Health Savings Account with company contributions Dental and Vision through Unum Flexible Spending Account and Dependant Care Account Company-paid Life insurance, STD and LTD Voluntary benefits including Supplemental Life Insurance, Critical Illness, Accident and Pet Insurance 401(k) with up to 3% employer match and NO vesting period Flexible PTO policy 10 company holidays Parental Leave Paid Time Off for Volunteering Employee Reimbursement Program to use for well-being, technology and/or professional development Want to know more? Go ahead and apply! Let’s get to know each other. #LI-Remote ServiceTrade is not registered to hire in all 50 states. You must reside in one of the states listed to be considered. (AL, AR, AZ, CA, CO, CT, DE, FL, GA, IL, IN, KY, MD, MI, MN, MO, NC, NH, NJ, NY, OH, OR, PA, SC, TN, TX, UT, VA, VT, WA) EEO Statement: ServiceTrade provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U. S. Please Be Aware of Recruiting Scams To protect yourself against the increasing number of recruiting scams, please make sure that you are communicating with ServiceTrade. We communicate through our corporate website servicetrade.com, through corporate emails utilizing our domain name of @servicetrade.com, and through servicetrade.greenhouse.io. Be vigilant when checking domains because imitators often make very small changes to trick the eye. Additionally, please know that ServiceTrade does not use text messaging or public messaging platforms, such as Telegram or Whatsapp, to make initial contact with candidates and ServiceTrade will never ask an employment candidate for financial information or for payment of any kind.", "summaryDescription" : "Product Manager - ServiceTrade Inspection Forms at ServiceTrade. Skills: Product strategy, Roadmap, User stories, Cross-functional collaboration. Define and communicate Forms product roadmap. Prioritize feature development", "postedDate" : "2026-06-14T09:42:24.679", "createdAt" : "2026-06-14T09:42:24.679", "lastUpdated" : "2026-06-15T07:00:50.904", "ingestTimestamp" : "2026-06-14T09:42:24.679", "mongoId" : "6a2ca5e474d8ee00a09b887d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Build forms", "QA templates", "Diagnose technical issues", "Product strategy", "Roadmap", "User stories", "Cross-functional collaboration", "Roadmap execution", "Stakeholder alignment", "Vendor strategy", "Backlog management", "Sprint planning", "Fire and life safety", "Compliance workflows", "Inspection requirements", "Industry standards", "ServiceTrade ↔ Joyfill integration", "JIRA" ], "skillCount" : 18, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 683.7894, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2aa4a474d8ee00a06b26f7", "title" : "Senior Product Manager – Testing (Adobe Target A Testing PDM)", "company" : "itD Tech", "salary" : { "min" : 155000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Manager in the US Technology industry, adjusted for seniority and remote work." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-14T22:17:20.730", "fingerprint" : "76d70e13119bcdf1431d0eccf6c54da6ff7ad58d4dbdfac68e09507f3f9a9843", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/itd/jobs/4280831009", "externalId" : "4280831009", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Adobe Target", "professionalSkills" : [ "Experimentation strategy", "Product decisions", "Experimentation rigor", "Testing methodologies", "Business impact", "Experiment design", "Experiment measurement", "Experiment interpretation", "Experiment analysis", "Business insights", "Experimentation frameworks", "Governance models", "Testing effectiveness", "Testing reliability", "Product recommendations", "Business decisions" ], "hardSkillsList" : [ "Multivariate testing", "Holdout testing", "Sequential testing", "Statistical concepts", "Sample size determination", "Statistical significance", "Bias", "Variance", "Confidence intervals", "Experiment validity" ], "hardSkills" : [ { "name" : "Multivariate testing", "level" : "intermediate" }, { "name" : "Holdout testing", "level" : "intermediate" }, { "name" : "Sequential testing", "level" : "intermediate" }, { "name" : "Statistical concepts", "level" : "intermediate" }, { "name" : "Sample size determination", "level" : "intermediate" }, { "name" : "Statistical significance", "level" : "intermediate" }, { "name" : "Bias", "level" : "intermediate" }, { "name" : "Variance", "level" : "intermediate" }, { "name" : "Confidence intervals", "level" : "intermediate" }, { "name" : "Experiment validity", "level" : "intermediate" } ], "majorSkills" : "Experimentation, Product Management, Testing", "majorSkillsList" : [ "Experimentation", "Product Management", "Testing" ], "coreResponsibilities" : "Lead experimentation strategy, Design advanced experimentation programs, Execute advanced experimentation programs, Scale advanced experimentation programs, Partner with engineering, analytics, and AI/ML teams, Ensure statistically sound experiment design, Ensure experiment implementation, Ensure experiment measurement, Ensure experiment interpretation, Analyze experiment outcomes in depth, Identify trends, Diagnose anomalies, Validate assumptions, Uncover actionable business insights, Develop scalable experimentation frameworks, Implement scalable experimentation frameworks, Develop governance models, Implement governance models, Develop best practices, Implement best practices, Review experiment design, Optimize experiment design, Review execution processes, Optimize execution processes, Review reporting standards, Optimize reporting standards, Translate experimentation results into product recommendations, Translate experimentation results into business decisions", "teamCollaboration" : "Cross-functional teams; Engineering teams; Analytics teams; AI/ML teams; Data science organizations; Multiple teams", "domainKnowledge" : "Enterprise experimentation; Digital products; Experimentation methodologies; Statistical concepts; Server-side experimentation; Backend-rendered applications; E-commerce; Digital consumer products; AI/ML optimization", "domainList" : [ "enterprise-experimentation", "digital-products", "experimentation-methodologies", "statistical-concepts", "server-side-experimentation", "backend-rendered-applications", "e-commerce", "digital-consumer-products", "ai-ml-optimization" ], "domainSpecificKnowledge" : [ "Enterprise experimentation", "Digital products", "Experimentation methodologies", "Statistical concepts", "Server-side experimentation", "Backend-rendered applications", "E-commerce", "Digital consumer products", "AI/ML optimization" ], "toolProficiency" : [ "Adobe Target" ], "documentationSkills" : "Client case studies; Learning material; Blogs; Media material", "continuousLearning" : "Internal practice community meetings; Career fast-track opportunities; Networking events; Career learning and development programs", "problemSolvingSkills" : "Data-informed product decisions; Diagnose anomalies; Uncover actionable business insights", "outcomesObjectives" : "Drive measurable outcomes; Improve testing effectiveness; Improve testing reliability", "qualificationsBasic" : "5+ years of experience in Product Management, Experimentation, Testing, or data-driven product roles, Hands-on experience with enterprise experimentation platforms, Proven experience operating within high-volume, enterprise-scale experimentation environments, Deep understanding of experimentation methodologies beyond basic A testing, Knowledge of statistical concepts, Experience partnering with cross-functional teams, Demonstrated ability to perform detailed experiment analysis, Bachelor’s degree in a relevant field or equivalent work experience", "qualificationsPreferred" : "Experience building, scaling, or governing enterprise experimentation frameworks and platforms, Exposure to personalization systems, feature flagging platforms, or adaptive experimentation approaches, Experience with server-side experimentation, Experience supporting experimentation initiatives within large-scale technology, e-commerce, or digital consumer product organizations, Familiarity with AI/ML-driven optimization and experimentation use cases", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "itD is seeking a Senior Product Manager – Testing to lead and scale enterprise experimentation capabilities across digital products, driving data-informed product decisions and advancing a mature culture of experimentation. This role will help establish best practices, improve experimentation rigor, and enable teams to leverage testing as a strategic product capability. The ideal candidate will bring deep experience in enterprise experimentation programs and a proven track record of delivering measurable business impact through advanced testing methodologies. Location: Remote in US - must be able to work PST hours Responsibilities: Lead experimentation strategy across web, desktop, iOS, and Android digital products. Design, execute, and scale advanced experimentation programs, including multivariate testing, holdout testing, sequential testing, and other sophisticated methodologies. Partner with engineering, analytics, and AI/ML teams to ensure statistically sound experiment design, implementation, measurement, and interpretation. Analyze experiment outcomes in depth by identifying trends, diagnosing anomalies, validating assumptions, and uncovering actionable business insights. Develop and implement scalable experimentation frameworks, governance models, and best practices across multiple teams. Review and optimize experiment design, execution processes, and reporting standards to improve testing effectiveness and reliability. Translate experimentation results into clear product recommendations and business decisions that drive measurable outcomes. Internal Responsibilities: Attend regular internal practice community meetings. Collaborate with your itD practice team on industry thought leadership. Complete client case studies and learning material (blogs, media material). Build out material to contribute to the Digital Transformation practice. Attend internal itD networking events (in person and virtual). Work with leadership on career fast-track opportunities. Required Qualifications and Skills: 5+ years of experience in Product Management, Experimentation, Testing, or data-driven product roles. Hands-on experience with enterprise experimentation platforms such as Adobe Target or comparable testing solutions. Proven experience operating within high-volume, enterprise-scale experimentation environments. Deep understanding of experimentation methodologies beyond basic A/B testing, including multivariate testing, holdout testing, and advanced experimental design. Strong knowledge of statistical concepts including sample size determination, statistical significance, bias, variance, confidence intervals, and experiment validity. Experience partnering with cross-functional teams including engineering, analytics, and data science organizations. Demonstrated ability to perform detailed experiment analysis and translate findings into actionable product and business recommendations. Preferred Qualifications and Skills: Experience building, scaling, or governing enterprise experimentation frameworks and platforms. Exposure to personalization systems, feature flagging platforms, or adaptive experimentation approaches. Experience with server-side experimentation and backend-rendered application environments. Experience supporting experimentation initiatives within large-scale technology, e-commerce, or digital consumer product organizations. Familiarity with AI/ML-driven optimization and experimentation use cases. Education: Bachelor’s degree in a relevant field or equivalent work experience required. Company Description About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. This permeates down to how we approach every interaction, on every project, for every client. You’ll thrive here if you are a dynamic self-starter, a difference-maker or someone who wants to deliver great results, without constraints. The itD Digital Experience: Joining us means you’ll be part of our global community, you have a say about your own career journey, and you’ll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries. itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching, networking & career learning and development programs. We are growing and we want to see you grow! Visit https://itdtech.com/careers to learn more about what working at itD can mean for you. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. itD is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please contact us at recruiting@itdtech.com and let us know the nature of your request and your contact information. Additional Info Dynamic environment in a culture of respect, empowerment and recognition for a job well done, apply today!", "summaryDescription" : "Senior Product Manager – Testing (Adobe Target A Testing PDM) at itD Tech. Skills: Experimentation, Product Management, Testing. Lead experimentation strategy. Design advanced experimentation programs", "postedDate" : "2026-06-11T21:43:44.366", "createdAt" : "2026-06-11T21:43:44.366", "lastUpdated" : "2026-06-14T22:17:20.730", "ingestTimestamp" : "2026-06-11T21:43:44.366", "mongoId" : "6a2aa4a474d8ee00a06b26f7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Multivariate testing", "Holdout testing", "Sequential testing", "Statistical concepts", "Sample size determination", "Statistical significance", "Bias", "Variance", "Confidence intervals", "Experiment validity", "Experimentation", "Product Management", "Testing", "Experimentation strategy", "Product decisions", "Experimentation rigor", "Testing methodologies", "Business impact", "Experiment design", "Experiment measurement", "Experiment interpretation", "Experiment analysis", "Business insights", "Experimentation frameworks", "Governance models", "Testing effectiveness", "Testing reliability", "Product recommendations", "Business decisions", "Enterprise experimentation", "Digital products", "Experimentation methodologies", "Server-side experimentation", "Backend-rendered applications", "E-commerce", "Digital consumer products", "AI/ML optimization", "Adobe Target" ], "skillCount" : 38, "jobCategory" : "other", "jobSubcategory" : "project-management/pmo", "dataQualityScore" : 0.8888889, "_score" : 673.782, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2c7b7a74d8ee00a0949cbc", "title" : "Concrete Project Manager - Self Perform Team", "company" : "Absher Construction", "industry" : "Real Estate", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager level Concrete Project Manager in Western Washington, adjusted for the construction industry and company size." }, "location" : "Western Washington", "locations" : [ "Western Washington" ], "certifications" : [ "OSHA 30", "First Aid/CPR" ], "timestamp" : "2026-06-15T11:13:44.031", "fingerprint" : "efc25311f90eb716ecdb8b2ebb14565b19bdc2b3e5895e72fa66de822a82463c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/absherconstruction/jobs/4278702009", "externalId" : "4278702009", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Washington", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceLevel" : "Manager", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Cost performance", "Labor productivity" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Cost performance", "level" : "intermediate" }, { "name" : "Labor productivity", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Self-perform operations, Project execution, Field leadership", "majorSkillsList" : [ "Self-perform operations", "Project execution", "Field leadership" ], "coreResponsibilities" : "Lead project execution, Ensure successful delivery, Ensure safety performance, Ensure quality performance, Ensure financial performance, Oversee planning, Oversee scheduling, Oversee change management, Oversee safety integration, Oversee quality control, Oversee closeout, Develop execution strategies, Communicate execution strategies, Ensure clarity on scope, Ensure clarity on productivity goals, Ensure clarity on sequencing, Ensure clarity on constraints, Drive risk planning, Identify high-risk activities, Embed safety into crew planning, Embed safety into daily readiness, Monitor field issues, Resolve field issues, Maintain alignment between estimate and plan, Maintain alignment between plan and execution, Track labor productivity, Track labor costs, Identify variances, Implement corrective actions, Supervise team members, Mentor team members, Develop team members, Serve as key interface, Ensure alignment, Ensure scope clarity", "teamCollaboration" : "Field leaders; Self-perform teams; GC operations; Project stakeholders", "projectManagementSkills" : [ "Planning", "Scheduling", "Change management", "Closeout" ], "domainKnowledge" : "Commercial construction; Self-perform operations", "domainList" : [ "commercial-construction", "self-perform-operations" ], "domainSpecificKnowledge" : [ "Commercial construction", "Self-perform operations" ], "problemSolvingSkills" : "Risk planning; Resolve field issues", "specialRequirements" : "Background check, Drug screen", "outcomesObjectives" : "Successful delivery; Safety performance; Quality performance; Financial performance; Protect schedule; Protect margin", "qualificationsBasic" : "Bachelor's degree in Construction Management, Engineering, or related field, 10+ years of experience in commercial construction, Proven ability to manage complex scopes, Proven ability to manage labor productivity, Proven ability to manage cost performance, Relationship-building skills with owners, Relationship-building skills with architects, Relationship-building skills with field teams, Relationship-building skills with trade partners, Commitment to a safety-first culture, Disciplined execution in the field", "qualificationsPreferred" : "Proficiency in construction software, Experience with scheduling tools", "workSiteFlexibility" : "Onsite", "rawDescription" : "Celebrating 85 Years of Building With Purpose At Absher Construction, we’re proud to celebrate over 85 years as one of the Pacific Northwest’s most respected general contractors. As a 100% employee-owned company, we believe our people are our greatest asset and we invest in them like it! From fully paid medical premiums for employees, to a generous PTO policy, 401(k) and ESOP retirement benefits, we offer a total rewards package that reflects the pride and ownership we bring to every project. As a Self-Perform Project Manager, you own the outcome. You’ll lead Absher’s self-perform operations on multiple scopes, managing planning, performance, and profitability. This role is deeply rooted in the field where you’ll be walking jobs, pressure-testing plans, mentoring teams, and driving execution where it matters most. This is a builder’s role for someone who thrives on accountability, sees complexity as a challenge worth solving, and understands that high-performing teams are built through discipline, clarity, and collaboration. What You’ll Do Lead project execution to ensure successful delivery, safety, quality, and financial performance of self-perform scopes Oversee planning, scheduling, change management, safety integration, quality control, and closeout Develop and communicate execution strategies with field leaders to ensure clarity on scope, productivity goals, sequencing, and constraints Drive risk planning, identify high-risk activities early, and embed safety into crew planning and daily readiness Monitor and resolve field issues proactively, maintaining alignment between estimate, plan, and execution Track labor productivity and costs, identify variances, and implement corrective actions to protect schedule and margin Supervise, mentor, and develop team members to build the next generation of self-perform leaders Serve as the key interface between self-perform teams, GC operations, and project stakeholders, ensuring alignment and scope clarity Why You’ll Be Successful You’re not a spectator, you’re an operator. You lead with influence more than authority, thrive on solving complex challenges, and believe in building high-performing teams that win together. What You Bring: Bachelor’s degree in Construction Management, Engineering, or related field (or equivalent field experience) 10+ years of experience in commercial construction, preferably with self-perform operations Proven ability to manage complex scopes, labor productivity, and cost performance Strong relationship-building skills with owners, architects, field teams, and trade partners Commitment to a safety-first culture and disciplined execution in the field Proficiency in construction software (e.g., Procore, scheduling tools) a plus Safety certifications (OSHA 30, First Aid/CPR) preferred Note: Absher is a Federal Contractor. All job offers are contingent upon successful completion of a background check and drug screen. Salary offers are typically made between the entry and midpoint of the range and are based on factors such as experience, education, and internal equity. Pay Transparency $120,000—$150,000 USD Background Check & Pre-Employment Screening All offers of employment are contingent upon successful completion of a pre-employment background check and drug screening. Background checks may include verification of employment history, education, criminal records, and references. For positions with access to company financial accounts or credit card programs, a credit history check may also be conducted. All screening is conducted in compliance with the Fair Credit Reporting Act (FCRA) and applicable state and local laws. Candidates will be asked to provide written consent prior to any screening. If results include information that may affect a hiring decision, candidates will have the opportunity to review and respond to the findings before a final decision is made. Absher Construction is an equal opportunity employer. Background check results are evaluated in context and do not automatically disqualify applicants. Absher’s Commitment: Our Pledge to EEOC At Absher, we are committed to building a culture where everyone can thrive. We welcome diverse voices, perspectives, and experiences and we believe our work is stronger because of them. No employee or applicant will face discrimination based on race, color, national origin, religion, age, gender identity, sexual orientation, disability, veteran status, or any other protected class. Notice to Staffing Agencies Please note: We are not accepting unsolicited resumes or inquiries from staffing agencies at this time. Absher employees are not authorized to bind the company to any third-party recruitment agreements.", "summaryDescription" : "Concrete Project Manager - Self Perform Team at Absher Construction. Skills: Self-perform operations, Project execution, Field leadership. Lead project execution. Ensure successful delivery", "postedDate" : "2026-06-13T21:57:21.788", "createdAt" : "2026-06-13T21:57:21.788", "lastUpdated" : "2026-06-15T11:13:44.031", "ingestTimestamp" : "2026-06-13T21:57:21.788", "mongoId" : "6a2c7b7a74d8ee00a0949cbc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Cost performance", "Labor productivity", "Leadership", "Mentoring", "Self-perform operations", "Project execution", "Field leadership", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Planning", "Scheduling", "Change management", "Closeout", "Commercial construction", "OSHA 30", "First Aid/CPR" ], "skillCount" : 21, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 667.7791, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c759a74d8ee00a09379e0", "title" : "QA Engineer, AI Products", "company" : "MDCalc", "industry" : "Engineering", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior QA Engineer in Bulgaria, adjusted for the healthcare industry and remote work." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T06:25:02.888", "fingerprint" : "e16167fd7b16942205d9300532a02dc73c57dd29fbc53b334d44d8cef257baaf", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/mdcalc/cf02b1b2-0963-46cd-bde4-022f007ec311/application", "externalId" : "cf02b1b2-0963-46cd-bde4-022f007ec311", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "technicalSkills" : "LLM, AI, ML, OpenAI, Anthropic", "professionalSkills" : [ "Prompt engineering", "RAG systems", "Evaluation frameworks", "LLM APIs", "Qualitative evaluation", "Rubric-based scoring", "Semantic similarity checks", "Data validation", "Data integrity", "Testability feedback", "Prompt design feedback", "Guardrails feedback" ], "hardSkillsList" : [ "Prompt regression testing", "Output evaluation", "Hallucination detection", "Automated evaluation pipelines", "Black-box testing", "Exploratory testing", "Clinical accuracy testing", "Safety testing", "Edge case testing", "Quality metrics definition", "Failure mode investigation", "Model issue triage", "Prompt issue triage", "Retrieval issue triage", "Integration bug triage", "Test case creation", "Test case documentation", "Deterministic systems testing", "Non-deterministic systems testing", "LLM tooling", "LLM concepts", "LLM evaluation", "LLM APIs", "Automated qualitative evaluation", "LLM-as-judge", "Rubric-based scoring", "Semantic similarity", "Golden dataset regression", "Test automation", "Playwright", "SQL", "Data validation", "Test data creation", "Data integrity verification", "Token usage analysis", "Latency profiling", "Cost monitoring" ], "softSkillsList" : [ "Solutions-oriented attitude", "Clear communicator", "Concise communicator" ], "hardSkills" : [ { "name" : "Prompt regression testing", "level" : "intermediate" }, { "name" : "Output evaluation", "level" : "intermediate" }, { "name" : "Hallucination detection", "level" : "intermediate" }, { "name" : "Automated evaluation pipelines", "level" : "intermediate" }, { "name" : "Black-box testing", "level" : "intermediate" }, { "name" : "Exploratory testing", "level" : "intermediate" }, { "name" : "Clinical accuracy testing", "level" : "intermediate" }, { "name" : "Safety testing", "level" : "intermediate" }, { "name" : "Edge case testing", "level" : "intermediate" }, { "name" : "Quality metrics definition", "level" : "intermediate" }, { "name" : "Failure mode investigation", "level" : "intermediate" }, { "name" : "Model issue triage", "level" : "intermediate" }, { "name" : "Prompt issue triage", "level" : "intermediate" }, { "name" : "Retrieval issue triage", "level" : "intermediate" }, { "name" : "Integration bug triage", "level" : "intermediate" }, { "name" : "Test case creation", "level" : "intermediate" }, { "name" : "Test case documentation", "level" : "intermediate" }, { "name" : "Deterministic systems testing", "level" : "intermediate" }, { "name" : "Non-deterministic systems testing", "level" : "intermediate" }, { "name" : "LLM tooling", "level" : "intermediate" }, { "name" : "LLM concepts", "level" : "intermediate" }, { "name" : "LLM evaluation", "level" : "intermediate" }, { "name" : "LLM APIs", "level" : "intermediate" }, { "name" : "Automated qualitative evaluation", "level" : "intermediate" }, { "name" : "LLM-as-judge", "level" : "intermediate" }, { "name" : "Rubric-based scoring", "level" : "intermediate" }, { "name" : "Semantic similarity", "level" : "intermediate" }, { "name" : "Golden dataset regression", "level" : "intermediate" }, { "name" : "Test automation", "level" : "intermediate" }, { "name" : "Playwright", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Test data creation", "level" : "intermediate" }, { "name" : "Data integrity verification", "level" : "intermediate" }, { "name" : "Token usage analysis", "level" : "intermediate" }, { "name" : "Latency profiling", "level" : "intermediate" }, { "name" : "Cost monitoring", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Solutions-oriented attitude" }, { "name" : "Clear communicator" }, { "name" : "Concise communicator" } ], "majorSkills" : "LLM testing, AI product quality, Prompt engineering, Evaluation frameworks", "majorSkillsList" : [ "LLM testing", "AI product quality", "Prompt engineering", "Evaluation frameworks" ], "coreResponsibilities" : "Design test strategies for LLM-powered features, Execute test strategies for LLM-powered features, Perform prompt regression testing, Perform output evaluation, Perform hallucination detection, Build automated evaluation pipelines, Maintain automated evaluation pipelines, Catch quality regressions in non-deterministic outputs, Perform black-box testing of AI features, Perform exploratory testing of AI features, Test clinical accuracy of AI features, Test safety of AI features, Test edge cases of AI features, Define quality metrics for AI outputs, Establish thresholds for release readiness, Investigate AI failure modes, Triage AI failure modes, Distinguish model issues, Distinguish prompt issues, Distinguish retrieval issues, Distinguish integration bugs, Participate in team discussions, Offer feedback on testability, Offer feedback on risks, Offer feedback on prompt design, Offer feedback on guardrails, Develop QA strategies for testing capacity, Develop QA strategies for automation, Develop QA strategies for evaluation coverage", "teamCollaboration" : "Collaborate cross-functionally; Collaborate with engineers; Collaborate with product managers; Collaborate with ML/AI engineers; Collaborate with clinical reviewers; Participate in team discussions", "domainKnowledge" : "LLM-based systems; Non-deterministic outputs; Clinical trustworthiness; Clinical accuracy; Clinical safety; Medical reference tools; Point-of-care tools", "domainList" : [ "llm-based-systems", "non-deterministic-outputs", "clinical-trustworthiness", "clinical-accuracy", "clinical-safety", "medical-reference-tools", "point-of-care-tools" ], "domainSpecificKnowledge" : [ "LLM-based systems", "Non-deterministic outputs", "Clinical trustworthiness", "Clinical accuracy", "Clinical safety", "Medical reference tools", "Point-of-care tools" ], "toolProficiency" : [ "Playwright", "OpenAI", "Anthropic", "Promptfoo", "Braintrust", "LangSmith", "DeepEval", "Ragas", "OpenAI Evals" ], "communicationSkills" : "Surface issues effectively; Surface blockers effectively; Surface risks effectively; Communicate ambiguous failures; Communicate probabilistic failures", "continuousLearning" : "Eagerness to learn quickly", "problemSolvingSkills" : "Investigate failure modes; Triage failure modes; Distinguish issue types", "qualificationsBasic" : "5+ years software QA, 1+ year LLM/AI/ML testing, Understanding of QA principles, Experience with prompt engineering, Experience with RAG systems, Experience with LLM APIs, Experience designing automated qualitative evaluation, Proficiency with test automation tools, SQL skills, Familiarity with token usage, Familiarity with latency profiling, Familiarity with cost monitoring", "qualificationsPreferred" : "Playwright proficiency, Experience with Promptfoo, Experience with Braintrust, Experience with LangSmith, Experience with DeepEval, Experience with Ragas, Experience with OpenAI Evals", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "THE OPPORTUNITY Since 2005, MDCalc has been an essential part of the clinician’s workflow to help achieve better patient outcomes. Actively used by more than 65% of physicians worldwide, MDCalc is the most broadly used medical reference – at the point-of-care – for clinical decision tools and content, and one of only four references used by >50% of US HCPs. These evidence-based tools and content are used by millions of medical professionals globally and support 50+ specialties and cover 200+ patient conditions. To continue to further accelerate and steward this growth, we are expanding the AI product team with a QA Engineer. This role will be critical to MDCalc’s expanded success in continuing to support our millions of clinical users worldwide in taking care of hundreds of millions of patients. THE ROLE As a QA Engineer on the AI Products group at MDCalc, you will play a key role in ensuring the quality, reliability, and clinical trustworthiness of MDCalc's AI-powered features. You'll focus on the unique challenges of testing LLM-based systems, where outputs are non-deterministic, correctness is often a spectrum rather than a binary, and regressions can be subtle. You'll be part of a collaborative, fast-moving team that takes pride in delivering software that clinicians trust to care for millions of patients worldwide. The responsibilities of this individual include the following, but are not limited to: - Design and execute test strategies for LLM-powered features, including prompt regression testing, output evaluation, and hallucination detection - Build and maintain automated evaluation pipelines (eval sets, golden datasets, LLM-as-judge frameworks) to catch quality regressions in non-deterministic outputs - Perform black-box and exploratory testing of MDCalc's AI features across web and mobile, with particular attention to clinical accuracy, safety, and edge cases - Define quality metrics for AI outputs (accuracy, faithfulness, relevance, safety, latency, cost) and establish thresholds for release readiness - Collaborate cross-functionally with engineers, product managers, ML/AI engineers, and clinical reviewers to define what \"good\" looks like for AI responses - Investigate and triage AI failure modes, distinguishing model issues, prompt issues, retrieval issues, and integration bugs - Participate in team discussions, offering feedback on testability, risks, prompt design, and guardrails - Help develop QA strategies to expand future testing capacity, automation, and evaluation coverage as the AI product surface grows YOUR BACKGROUND - 5+ years of experience in software QA, with at least 1 year of hands-on testing of LLM-based or AI/ML-powered features - Strong understanding of QA principles, test case creation/documentation, and best practices for both deterministic and non-deterministic systems - Hands-on experience with LLM tooling and concepts: prompt engineering, RAG systems, evaluation frameworks (e.g., Promptfoo, Braintrust, LangSmith, DeepEval, Ragas, OpenAI Evals), and LLM APIs (OpenAI, Anthropic, etc.) - Experience designing automated qualitative evaluation approaches, including LLM-as-judge, rubric-based scoring, semantic similarity checks, and golden dataset regression testing - Proficiency with test automation tools, with a focus on Playwright - Strong SQL skills for data validation, test data creation, and verifying data integrity across systems - Familiarity with token usage, latency profiling, and cost monitoring as quality signals - Eagerness to learn quickly and a positive, solutions-oriented attitude - Clear and concise communicator, able to surface issues, blockers, and risks effectively when communicating ambiguous or probabilistic failures - Self-motivated, proactive, and able to manage time and priorities independently WHAT MDCALC OFFERS: - Ability to make a true difference in medicine: MDCalc is the most broadly used medical reference by physicians, used by over 65% of US attending doctors weekly - Medical, Dental, & Vision Coverage, with option to extend to your dependents - Company-sponsored short-term insurance - Fully-paid 8 week parental leave, after 6 months of employment - Company-sponsored 401k, after 3 months of employment - Unlimited vacation for salaried roles - we trust you to take the time you need - Bi-annual company offsites to connect, reflect, and plan together - Work from home monthly stipend - A culture of fun and motivated team members who believe in a greater mission here at MDCalc", "summaryDescription" : "QA Engineer, AI Products at MDCalc. Skills: LLM testing, AI product quality, Prompt engineering, Evaluation frameworks. Design test strategies for LLM-powered features. Execute test strategies for LLM-powered features", "createdAt" : "2026-06-14T18:38:34.619", "lastUpdated" : "2026-06-16T06:25:02.888", "ingestTimestamp" : "2026-06-14T18:38:34.619", "mongoId" : "6a2c759a74d8ee00a09379e0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Prompt regression testing", "Output evaluation", "Hallucination detection", "Automated evaluation pipelines", "Black-box testing", "Exploratory testing", "Clinical accuracy testing", "Safety testing", "Edge case testing", "Quality metrics definition", "Failure mode investigation", "Model issue triage", "Prompt issue triage", "Retrieval issue triage", "Integration bug triage", "Test case creation", "Test case documentation", "Deterministic systems testing", "Non-deterministic systems testing", "LLM tooling", "LLM concepts", "LLM evaluation", "LLM APIs", "Automated qualitative evaluation", "LLM-as-judge", "Rubric-based scoring", "Semantic similarity", "Golden dataset regression", "Test automation", "Playwright", "SQL", "Data validation", "Test data creation", "Data integrity verification", "Token usage analysis", "Latency profiling", "Cost monitoring", "Solutions-oriented attitude", "Clear communicator", "Concise communicator", "LLM testing", "AI product quality", "Prompt engineering", "Evaluation frameworks", "RAG systems", "Qualitative evaluation", "Semantic similarity checks", "Data integrity", "Testability feedback", "Prompt design feedback", "Guardrails feedback", "LLM-based systems", "Non-deterministic outputs", "Clinical trustworthiness", "Clinical accuracy", "Clinical safety", "Medical reference tools", "Point-of-care tools", "OpenAI", "Anthropic", "Promptfoo", "Braintrust", "LangSmith", "DeepEval", "Ragas", "OpenAI Evals" ], "skillCount" : 66, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 661.63947, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5e3b9bc74574cb677a73", "title" : "Product Safety Engineer", "company" : "Beijing Mercedes-Benz Sales Service Co.", "industry" : "Manufacturing", "salary" : { "min" : 650000.0, "max" : 1100000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager-level Product Safety Engineer in Beijing, China, adjusted for the automotive industry and a large company size." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "Daimler Tower, 8 Wangjing Street, , Beijing" ], "timestamp" : "2026-06-15T12:19:26.492", "fingerprint" : "48c3ada069b0ea87dbb5462f5fd59911054c4cf991334478a4ff2545fe0a340b", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=885159", "externalId" : "885159", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "employmentType" : "FULL_TIME", "minimumEducation" : "University qualified", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Negotiation skill", "Interpersonal skills", "Business acumen", "Strategic thinking", "Project management" ], "softSkillsList" : [ "Leadership", "Negotiation" ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Negotiation" } ], "majorSkills" : "Product Liability inspections, Odor related topics, Vehicle inspections", "majorSkillsList" : [ "Product Liability inspections", "Odor related topics", "Vehicle inspections" ], "coreResponsibilities" : "Manage interdisciplinary inspection team, Focus on PL cases, Align defense strategy, Take leading role during inspections, Take leading role within litigation team, Lead all odor related topics, Communicate odors topics, Communicate odor relevant developments, File technical reports, Provide reports for litigation, Coordinate with regional offices, Coordinate with inhouse legal, Coordinate with law firms, Coordinate with PR, Coordinate with business units, Hold training and seminars, Travel weekly to conduct negotiations, Support settlement negotiations, Support technical team, Support PL/PS team members, Coordinate with relevant function/teams, Monitor progress, Manage assigned cases, Delegate tasks and responsibilities, Provide regular performance feedback, Define qualification and development measures, Initiate team oriented working environment, Maintain team oriented working environment, Share knowledge, Develop internal investigation standards, Develop training program/seminars, Inspect vehicles, Document investigation results, Travel for customer negotiations, Hold training/seminars on site", "teamCollaboration" : "Interdisciplinary inspection team; GCSP/TPR team; Global Litigation Team; Cross-functional teams; Multicultural teams; Regional offices; Inhouse legal; Law firms; PR; Business units; Relevant function/teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Automotive industry; Product Liability; Warranty; Odor related topics; Vehicle Fire investigation; Accident investigation", "domainList" : [ "automotive-industry", "product-liability", "warranty", "odor-related-topics", "vehicle-fire-investigation", "accident-investigation" ], "domainSpecificKnowledge" : [ "Automotive industry", "Product Liability", "Warranty", "Odor related topics", "Vehicle Fire investigation", "Accident investigation" ], "communicationSkills" : "Strategic communication", "documentationSkills" : "Technical reports", "continuousLearning" : "Willing to learn", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Travel weekly", "qualificationsBasic" : "University qualified, 5 years of working experience, Management and Leadership skills, Fluent in written and spoken English", "qualificationsPreferred" : "Technical MB product retail/wholesale operation is a plus, Automobile industry knowledge and experience will be an advantage", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Objective of job Manage interdisciplinary inspection team for Warranty- (WL) and Product (PL) - Liability vehicle inspections. Focus on PL cases including aligning the defense strategy with GCSP/TPR team and Global Litigation Team in Sindelfingen. Take the leading role during inspections on-site as well as within the litigation team for the assigned cases. Leading role for all odor related topics, strategic communication of odors topics and odor relevant developments with RD/FZ, RD China, BBAC and GCSP. File technical reports (for Management, GCSP and L/GL) regarding WL and PL cases. Provide reports to be used for litigation (focusing but not limited to odor cases). Coordinate with regional offices (RO), inhouse legal, law firms, PR, business units (BU) on WL and PL matters. Hold training and seminars for CO, RO, and workshop staff members regarding odor related issues. Travel weekly to conduct and/or support inspections; support settlement negotiations on site; support to technical team and PL/PS team members and as well as other jobs assign by supervisor. Main tasks Coordination with relevant function/teams (CRM CO, RO, Tech, PR, Legal, etc.) for vehicle inspections, consolidation and progress monitoring. Management of assigned cases through information, coordination and communication. Allocation and delegation of tasks and responsibilities. Provide regular performance feedback. Define and agree on qualification and development measures. Initiate and maintain a team oriented working environment. Share knowledge and develop internal investigation standards further, develop training program/seminars for CO, RO and related WS personnel. Vehicle inspections and document investigation results, travel for customer negotiations and hold training/seminars on site. Becoming part of Mercedes-Benz means finding your individual role and workspace to unleash your talents to the fullest. It means becoming your best self in a global automotive company that has the goal to build the most desirable cars in the world. Empowered by visionary colleagues who share the same pioneering spirit. Together for excellence. Qualification Education - University qualified and strong vehicle knowledge. Experience - At least 5 years of working experience in automotive industry, either Mercedes-Benz or another foreign OEM. - Needs to have strong management and Leadership skills and/or potential, a proven track record of strong capabilities to lead cross-functional and multicultural teams as well as good negotiation skill which are essential. - Customer and Market Orientated attitude. Good interpersonal and communication skills. Ability to work under pressure; could travel frequently - Strong technical MB product knowledge; retail/wholesale operation is a plus Skills and Knowledge - Being fluent in written and spoken English is mandatory - Business acumen and strategic thinking - Willing to learn and contribute - Able to work under pressure and undertake multi-task, work hard - Good management, organization and communication skills - Experience of project management - Vehicle Fire- and Accident investigation experience - Automobile industry knowledge and experience will be an advantage Beijing Mercedes-Benz Sales Service Co., Ltd.", "summaryDescription" : "Product Safety Engineer at Beijing Mercedes-Benz Sales Service Co.. Skills: Product Liability inspections, Odor related topics, Vehicle inspections. Manage interdisciplinary inspection team. Focus on PL cases", "createdAt" : "2026-06-14T06:41:48.150", "lastUpdated" : "2026-06-15T12:19:26.492", "ingestTimestamp" : "2026-06-14T06:41:48.150", "mongoId" : "69ce5e3b9bc74574cb677a73", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Leadership", "Negotiation", "Product Liability inspections", "Odor related topics", "Vehicle inspections", "Negotiation skill", "Interpersonal skills", "Business acumen", "Strategic thinking", "Project management", "Automotive industry", "Product Liability", "Warranty", "Vehicle Fire investigation", "Accident investigation" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 654.2263, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3087b6f292fd229c08bf31", "title" : "Supervisor of Inspections - Capital Projects", "company" : "Sarasota County Government", "industry" : "Government", "salary" : { "min" : 64833.6, "max" : 64833.6, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-16T15:07:12.296", "fingerprint" : "69b2c8d7e6198a34cea30a00453b209bdb15d7a969f79121544e1eb3a9477c37", "source" : "workday", "language" : "en", "applyUrl" : "https://scgov.wd5.myworkdayjobs.com/SCGOV/job/Bob-Office--Warehouse/Supervisor-of-Inspections---Capital-Projects_R20861", "externalId" : "R20861", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "professionalSkills" : [ "Quality control", "Technical expertise" ], "hardSkillsList" : [ "Construction inspection", "Utility infrastructure projects", "Regulatory compliance" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Construction inspection", "level" : "intermediate" }, { "name" : "Utility infrastructure projects", "level" : "intermediate" }, { "name" : "Regulatory compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Construction inspection, Team leadership, Regulatory compliance", "majorSkillsList" : [ "Construction inspection", "Team leadership", "Regulatory compliance" ], "coreResponsibilities" : "Lead inspection staff, Assign workload to staff, Oversee staff performance, Monitor project progress, Provide technical guidance, Assist inspectors with issues, Develop inspection programs, Implement inspection programs, Develop work plans, Implement work plans, Develop quality control standards, Implement quality control standards, Coach inspection staff, Mentor inspection staff, Train inspection staff, Evaluate inspection staff, Ensure project documentation accuracy, Ensure inspection report accuracy, Ensure deliverables accuracy, Verify utility construction compliance, Verify stormwater construction compliance, Verify CIP construction compliance, Ensure compliance with regulations, Ensure compliance with County standards, Review construction drawings, Review as-built drawings, Provide comments on drawings, Coordinate utility shutdowns, Coordinate system tie-ins, Attend pre-construction meetings, Perform field inspections, Verify construction quality, Verify project safety, Verify project completion, Investigate citizen concerns, Resolve citizen concerns", "teamCollaboration" : "Coordinate with project managers; Coordinate with contractors; Coordinate with utility operations; Coordinate with stakeholders", "projectManagementSkills" : [ "Capital Improvement Program (CIP) projects" ], "domainKnowledge" : "Potable water systems; Wastewater systems; Reclaimed water systems; Stormwater systems; SWPPP requirements; BMPs", "domainList" : [ "potable-water-systems", "wastewater-systems", "reclaimed-water-systems", "stormwater-systems", "swppp-requirements", "bmps" ], "domainSpecificKnowledge" : [ "Potable water systems", "Wastewater systems", "Reclaimed water systems", "Stormwater systems", "SWPPP requirements", "BMPs" ], "toolProficiency" : [ "EBuilder" ], "documentationSkills" : "Inspection reports", "specialRequirements" : "Pre-employment substance screening, Valid Florida driver's license", "qualificationsBasic" : "Bachelor’s degree in Building, Construction, or related field, Two (2) year associate's degree AND two (2) years of experience working in municipal utility construction work or inspection activities, High School diploma AND four (4) years of experience working in municipal utility construction work or inspection activities, One year of supervisory experience, Valid Florida driver's license", "qualificationsPreferred" : "Knowledge of Sarasota County Public Utilities Manual, Ability to read/review plans, Understanding of construction means and methods", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Department:** Capital Projects **Start Here. Grow Here. Stay Here. ** Are you an experienced construction inspection professional with a background in utility infrastructure projects? In this role, you will lead and mentor a team of inspectors overseeing Capital Improvement Program (CIP) projects involving potable water, wastewater, reclaimed water, and stormwater systems. You will help ensure construction activities comply with contract requirements, utility standards, and all applicable federal, state, and local regulations while providing technical expertise and guidance throughout the project lifecycle. If you are passionate about quality construction, regulatory compliance, and developing high-performing teams, we encourage you to apply. * Lead, assign, and oversee the daily workload and performance of construction inspection staff * Monitor project progress, provide technical guidance, and assist inspectors with complex construction-related issues * Develop and implement inspection programs, work plans, and quality control standards * Coach, mentor, train, and evaluate inspection staff to support professional development and certification requirements * Ensure project documentation, inspection reports, and deliverables are accurately maintained in eBuilder * Verify utility, stormwater, and CIP construction projects comply with contract documents, SWPPP requirements, BMPs, and applicable codes * Ensure compliance with federal, state, and local regulations, as well as County utility standards * Review construction and as-built drawings, provide comments, and coordinate utility shutdowns and system tie-ins * Attend pre-construction meetings and perform field inspections to verify construction quality, safety, and project completion requirements * Investigate and resolve citizen concerns while coordinating with project managers, contractors, utility operations, and other stakeholders **Work Hours:** Monday - Friday, 7:00 a.m. - 4:00 p.m. # **About You** **Minimum Qualifications:** * A Bachelor’s degree from an accredited college or university in Building, Construction, or related field * **-OR-** Two (2) year associate's degree **AND** two (2) years of experience working in municipal utility construction work or inspection activities (Water, wastewater and reclaimed water) or job-related experience * **-OR-** A High School diploma **AND** four (4) years of experience working in municipal utility construction work or inspection activities (Water, wastewater and reclaimed water) or job-related experience * **-AND-** One year of supervisory experience (lead worker or acting in a supervisory capacity may be counted) in related field * A valid Florida driver's license at the time of hire **Preferred Qualifications:** * Knowledge of the Sarasota County Public Utilities Manual * Ability to read/review plans * Understanding of construction means and methods ****This position is subject to passing a pre-employment substance screening.** An applicant who fails to pass a required drug screening test shall be disqualified from employment in any class for a period of five years # **About Everything Else** **Starting Pay Range:** $64,833.60**/ annually** _Our interview process could include phone interview(s), Microsoft Teams video interview(s), and/or in-person interview(s)._ **If you are selected to join our team,****[please click on this link to review the Required First Day Documents](http://www.scgov.net/home/showpublisheddocument/66596/638617478290291353)******.** You will need to present the following items on your first day: ** **1.** **I-9 Acceptable Documents to show your identity and authorization to work. Use this link to learn more and review the different document options:**[ https://www.uscis.gov/i-9-central/form-i-9-acceptable-documents](https://www.uscis.gov/i-9-central/form-i-9-acceptable-documents) * If your position requires a Florida Driver’s License, this must be one of your documents. (Your Florida Driver’s License can serve as one of your documents listed in link above – List B Documents.) **2\\. U.S. Social Security Card (signed, physical card).** This is a requirement of our Payroll Department and failure to provide this document could jeopardize timely compensation. (Your U.S. Social Security Card can serve as one of your documents listed in link above – List C Documents.) **Benefits:** * Enjoy great benefits including Health, Dental, Vision, and Life Insurance, Short-Term and Long-Term Disability, Flexible Spending Accounts, Employee Assistance Program (EAP), Florida Retirement System (FRS) and many, many more! Choose one of three great medical plans, including one with a $0 premium option, with completed preventative visits! * For more information about employee benefits, please [click this link or visit SCGov.net](https://www.scgov.net/government/human-resources/employee-health-and-benefits) for additional information. * Utilize our award-winning wellness program including free gyms at multiple Sarasota County Government locations. * Enjoy 11 paid holidays, 3 personal days and 16 paid vacation days in the first year of full-time employment with increasing accrual rates with years of service. (That adds up to a possible 30 days off in your 1st year!)**** **A different blend of voices prompt better conversations, choices and results for everyone. Sarasota County – Many Voices, One Team.** We celebrate and value the experiences, backgrounds, perspectives, talents and strengths that make us different. Our vision is to attract, develop, retain and engage a talented workforce broadly representative of the citizens and communities we serve. To further value creativity, innovation, collaboration and great customer service – internally and externally. A job applicant with a disability who requires reasonable accommodation to participate in the application/selection process is requested to make known the need for an accommodation to Human Resources or appropriate county staff members. For assistance with the application, please call 941-861-5353. Sarasota County prohibits discrimination in all services, programs or activities. View the complete policy at scgov.net (keywords: ADA Compliance). **_Sarasota County Government is a Tobacco-Free/Drug-Free Workplace._**", "summaryDescription" : "Supervisor of Inspections - Capital Projects at Sarasota County Government. Skills: Construction inspection, Team leadership, Regulatory compliance. Lead inspection staff. Assign workload to staff", "postedDate" : "2026-06-16T03:54:20.425", "createdAt" : "2026-06-16T03:54:20.406", "lastUpdated" : "2026-06-16T15:07:12.296", "ingestTimestamp" : "2026-06-16T03:54:20.406", "mongoId" : "6a3087b6f292fd229c08bf31", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://scgov.wd5.myworkdayjobs.com/SCGOV/job/Bob-Office--Warehouse/Supervisor-of-Inspections---Capital-Projects_R20861", "salaryAnnualMin" : 64833, "salaryAnnualMax" : 64833, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Construction inspection", "Utility infrastructure projects", "Regulatory compliance", "Leadership", "Mentoring", "Team leadership", "Quality control", "Technical expertise", "Capital Improvement Program (CIP) projects", "Potable water systems", "Wastewater systems", "Reclaimed water systems", "Stormwater systems", "SWPPP requirements", "BMPs", "EBuilder" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 652.936, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a210e9f74d8ee00a0af8845", "title" : "Director, Engineering, Product Experimentation and Evaluations", "industry" : "Technology", "salary" : { "min" : 275000.0, "max" : 425000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Engineering in the Technology industry in San Jose, California, adjusted for seniority and company size." }, "location" : "[San Jose, CA, USA, [San Jose, CA, USA], San Jose, null, CA, US]", "locations" : [ "[San Jose, CA, USA, [San Jose, CA, USA], San Jose, null, CA, US]", "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]" ], "timestamp" : "2026-06-16T11:49:27.577", "fingerprint" : "e51fa5179a881aa69b5965232d64fb7c85f268c8d77988b72a5cba78057ac53a", "source" : "google", "language" : "en", "externalId" : "141084977033814726", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Jose", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3361663,-121.8905910" } ], "locationText" : "San Jose, California, United States", "experienceLevel" : "Director", "remoteFriendly" : true, "summaryDescription" : "Director, Engineering, Product Experimentation and Evaluations", "postedDate" : "2026-06-16T01:50:02.970", "createdAt" : "2026-06-16T01:50:02.970", "lastUpdated" : "2026-06-16T11:49:27.577", "ingestTimestamp" : "2026-06-16T01:50:02.970", "mongoId" : "6a210e9f74d8ee00a0af8845", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 275000, "salaryAnnualMax" : 425000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.5555556, "_score" : 640.958, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6ace74d8ee00a090e143", "title" : "AI Evaluator", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 30000.0, "max" : 50000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level AI Evaluator in the US, adjusted for part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-16T06:11:40.548", "fingerprint" : "4d26774e467095534d1a577d3ca55a85f66747e1b7dfb57995af51e51443798b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4266724009", "externalId" : "4266724009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "AI, Generative AI, Large Language Models, Machine Learning", "hardSkillsList" : [ "Data labeling", "Content evaluation", "Data transformation", "Data gathering", "Data compilation", "Prompt creation", "Text summarization", "Speech to text", "Translation" ], "hardSkills" : [ { "name" : "Data labeling", "level" : "intermediate" }, { "name" : "Content evaluation", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data gathering", "level" : "intermediate" }, { "name" : "Data compilation", "level" : "intermediate" }, { "name" : "Prompt creation", "level" : "intermediate" }, { "name" : "Text summarization", "level" : "intermediate" }, { "name" : "Speech to text", "level" : "intermediate" }, { "name" : "Translation", "level" : "intermediate" } ], "majorSkills" : "AI evaluation, LLM development, Data labeling", "majorSkillsList" : [ "AI evaluation", "LLM development", "Data labeling" ], "coreResponsibilities" : "Rate/assess AI model performance, Label content elements, Assign predefined categories or labels, Evaluate perceived quality or appropriateness of content, Generate labels to advance understanding, Create additional training data for machine learning models, Modify images, Generate new text, Alter audio/video signals, Review data and identify if product feature works, Label model outputs, Identify gaming content, Identify branded content, Order or rank items, Create prompts for language models, Evaluate content relevance, Generate responses to prompts, Rewrite existing text, Produce concise summaries, Convert spoken language to text, Convert text or spoken language from one language, Gather and compile data for AI models", "domainKnowledge" : "Generative AI; Large Language Models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models" ], "qualificationsBasic" : "Bachelor's degree or higher in a humanities specialization, Professional or Expert level proficiency (C1/C2) in English", "qualificationsPreferred" : "Advanced degrees (Master's or PhD)", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "AI Evaluator at Innodata Inc.. Skills: AI evaluation, LLM development, Data labeling. Rate/assess AI model performance. Label content elements", "postedDate" : "2026-06-14T18:37:56.522", "createdAt" : "2026-06-14T18:37:56.522", "lastUpdated" : "2026-06-16T06:11:40.548", "ingestTimestamp" : "2026-06-14T18:37:56.522", "mongoId" : "6a2c6ace74d8ee00a090e143", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 30000, "salaryAnnualMax" : 50000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data labeling", "Content evaluation", "Data transformation", "Data gathering", "Data compilation", "Prompt creation", "Text summarization", "Speech to text", "Translation", "AI evaluation", "LLM development", "Generative AI", "Large Language Models" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 625.25134, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a16291c58b93c861e95a2e9", "title" : "Bridge Inspection Engineer", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead Bridge Inspection Engineer in Ann Arbor, United States, adjusted for industry and company size." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "certifications" : [ "Professional Engineer (PE or P. Eng) license" ], "timestamp" : "2026-06-16T02:30:17.599", "fingerprint" : "a58c9d3b119c38ea556f053bdca35552cdaaa0c0e55701a0bed33a263001bcbc", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=727090", "externalId" : "727090", "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", "minimumEducation" : "Bachelor's", "technicalSkills" : "Bluebeam Revu, LEAP Bridge Enterprise, FB-MultiPier, LPile, AASHTOWare BrR, Midas Civil, MDX, SAP2000, CSiBridge, RM Bridge, SpColumn, STLBridgeLRFD, STLBridge, ADINA, LUSAS, Bentley OpenBridge Designer, OpenBridge Modeler, Autodesk Infraworks, Civil3d, Microsoft Office Suite, MicroStation, AutoCAD, MathCAD, LARSA, Prestress Concrete Design, Structural analysis programs, Bridge design software", "professionalSkills" : [ "Bridge design", "Staff management" ], "hardSkillsList" : [ "Bridge inspection", "Structural analysis", "Bridge design" ], "hardSkills" : [ { "name" : "Bridge inspection", "level" : "intermediate" }, { "name" : "Structural analysis", "level" : "intermediate" }, { "name" : "Bridge design", "level" : "intermediate" } ], "majorSkills" : "Bridge inspection, Structural analysis, Bridge design", "majorSkillsList" : [ "Bridge inspection", "Structural analysis", "Bridge design" ], "coreResponsibilities" : "Perform bridge inspections, Analyze structural integrity, Prepare inspection reports, Manage junior staff, Collaborate with teams", "teamCollaboration" : "Working in a team", "domainKnowledge" : "Bridge design; Structural analysis; Prestress concrete design", "domainList" : [ "bridge-design", "structural-analysis", "prestress-concrete-design" ], "domainSpecificKnowledge" : [ "Bridge design", "Structural analysis", "Prestress concrete design" ], "toolProficiency" : [ "Bluebeam Revu", "LEAP Bridge Enterprise", "FB-MultiPier", "LPile", "AASHTOWare BrR", "Midas Civil", "MDX", "SAP2000", "CSiBridge", "RM Bridge", "SpColumn", "STLBridgeLRFD", "STLBridge", "ADINA", "LUSAS", "Bentley OpenBridge Designer", "OpenBridge Modeler", "Autodesk Infraworks", "Civil3d", "Microsoft Office Suite", "MicroStation", "AutoCAD", "MathCAD", "LARSA" ], "communicationSkills" : "Excellent communication", "documentationSkills" : "Inspection reports", "qualificationsBasic" : "Bachelor's degree, Previous experience in bridge design, Professional engineering license", "qualificationsPreferred" : "Experience managing junior staff", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Required Qualifications Bachelor's degree Previous experience in bridge design Requires professional engineering license recognized by the licensing board for the location of the position offered. Example: Professional Engineer (PE or P.Eng) license. Familiarity with Bluebeam Revu and engineering software packages such as: LEAP Bridge Enterprise, FB-MultiPier, LPile, AASHTOWare BrR, midas Civil, MDX, SAP2000, CSiBridge, RM Bridge, spColumn, STLBridgeLRFD, or STLBridge. Knowledge of ADINA, LUSAS, Bentley OpenBridge Designer and OpenBridge Modeler and/or Autodesk Infraworks and Civil3d. Experience using Microsoft Office Suite, MicroStation, AutoCAD, MathCAD, LARSA, Prestress Concrete Design Experience using structural analysis programs and bridge design software Experience managing junior staff Excellent communication skills and working in a team environment 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-Michigan-Ann Arbor", "summaryDescription" : "Bridge Inspection Engineer at HDR. Skills: Bridge inspection, Structural analysis, Bridge design. Perform bridge inspections. Analyze structural integrity", "createdAt" : "2026-06-14T19:18:56.829", "lastUpdated" : "2026-06-16T02:30:17.599", "ingestTimestamp" : "2026-06-14T19:18:56.829", "mongoId" : "6a16291c58b93c861e95a2e9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Bridge inspection", "Structural analysis", "Bridge design", "Staff management", "Prestress concrete design", "Professional Engineer (PE or P. Eng) license", "Bluebeam Revu", "LEAP Bridge Enterprise", "FB-MultiPier", "LPile", "AASHTOWare BrR", "Midas Civil", "MDX", "SAP2000", "CSiBridge", "RM Bridge", "SpColumn", "STLBridgeLRFD", "STLBridge", "ADINA", "LUSAS", "Bentley OpenBridge Designer", "OpenBridge Modeler", "Autodesk Infraworks", "Civil3d", "Microsoft Office Suite", "MicroStation", "AutoCAD", "MathCAD", "LARSA" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "_score" : 619.08826, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb20e74d8ee00a09df797", "title" : "Product launch / experiment readiness Evaluator", "industry" : "Product", "salary" : { "min" : 80.0, "max" : 120.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-16T02:31:56.004", "fingerprint" : "d9205f91d10a303c79740867bd500d8b54ff51dfea78a6f0daff2f07cebb2855", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/8ef17dcf-eff6-4ed3-b694-c3f7e7c1ad33/apply", "externalId" : "8ef17dcf-eff6-4ed3-b694-c3f7e7c1ad33", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Product strategy", "Roadmap development", "User story creation" ], "hardSkillsList" : [ "Provide structured feedback" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Provide structured feedback", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Product launch evaluation, Experiment readiness evaluation, AI model evaluation", "majorSkillsList" : [ "Product launch evaluation", "Experiment readiness evaluation", "AI model evaluation" ], "coreResponsibilities" : "Evaluate AI-generated artifacts, Assess accuracy of plans, Assess completeness of plans, Assess feasibility of plans, Identify factual errors, Identify logical inconsistencies, Identify presentation issues, Identify gaps in execution readiness, Provide actionable written feedback, Apply domain expertise, Ensure consistency in evaluation standards, Contribute insights to improve AI system performance", "teamCollaboration" : "Cross-functional collaboration", "domainKnowledge" : "Product launches; Experimentation frameworks; Go-to-market readiness; A/B testing; Validation frameworks", "domainList" : [ "product-launches", "experimentation-frameworks", "go-to-market-readiness", "a-b-testing", "validation-frameworks" ], "domainSpecificKnowledge" : [ "Product launches", "Experimentation frameworks", "Go-to-market readiness", "A/B testing", "Validation frameworks" ], "toolProficiency" : [ "Microsoft Office", "Google Workspace", "Google Slides", "PowerPoint" ], "communicationSkills" : "Written communication; Structured feedback", "problemSolvingSkills" : "Analytical skills; Critical thinking", "outcomesObjectives" : "Improve output quality; Improve AI system performance", "qualificationsBasic" : "5+ years product management experience, 5+ years product launches experience, 5+ years experimentation experience, 5+ years growth experience, Understanding product launch cycles, Understanding experiment design, Understanding go-to-market execution, Excellent analytical skills, Proficiency in Microsoft Office, Proficiency in Google Workspace, Proficiency in Google Slides, Proficiency in PowerPoint, Written communication skills, Ability to apply critical thinking, Ability to apply domain expertise", "qualificationsPreferred" : "Advanced degree, Experience in fast-paced product environments, Experience in fast-paced tech environments", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Evaluate AI-generated product launch and experiment readiness artifacts, including documents, spreadsheets, and slide decks, against structured quality rubrics. Assess accuracy, completeness, and practical feasibility of product launch plans and experiment designs. Identify factual errors, logical inconsistencies, presentation issues, and gaps in execution readiness. Provide clear, structured, and actionable written feedback to improve output quality. Apply domain expertise in product launches, experimentation frameworks, and go-to-market readiness to evaluate outputs. Ensure consistency in evaluation standards across multiple AI-generated deliverables. Contribute insights that help improve AI system performance in product and experimentation contexts. Requirements: 5+ years of professional experience in product management, product launches, experimentation, growth, or related domains. Strong understanding of product launch cycles, experiment design (A/B testing, validation frameworks), and go-to-market execution. Excellent analytical skills with the ability to evaluate structured business documents and identify execution gaps. Proficiency in Microsoft Office and Google Workspace, especially Google Slides and PowerPoint. Strong written communication skills with the ability to provide structured, high-quality feedback in English. Ability to apply critical thinking and domain expertise to evaluate real-world product readiness scenarios. Advanced degree (Master’s or higher) is a plus but not required. Experience working in fast-paced product or tech environments is highly desirable. Benefits: Competitive hourly compensation ranging from $80 to $120 per hour Fully remote, flexible contract-based engagement Opportunity to contribute to frontier AI model evaluation and training Weekly payments via Stripe or Wise based on completed work Flexible workload and scheduling based on availability Exposure to advanced AI systems and product experimentation frameworks Potential for contract extension based on performance and project needs ## 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" : "Product launch / experiment readiness Evaluator. Skills: Product launch evaluation, Experiment readiness evaluation, AI model evaluation. Evaluate AI-generated artifacts. Assess accuracy of plans", "postedDate" : "2026-06-11T05:52:41.324", "createdAt" : "2026-06-11T05:52:41.324", "lastUpdated" : "2026-06-16T02:31:56.004", "ingestTimestamp" : "2026-06-14T21:39:20.115", "mongoId" : "6a2cb20e74d8ee00a09df797", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 166400, "salaryAnnualMax" : 249600, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Provide structured feedback", "Critical thinking", "Product launch evaluation", "Experiment readiness evaluation", "AI model evaluation", "Product strategy", "Roadmap development", "User story creation", "Product launches", "Experimentation frameworks", "Go-to-market readiness", "A/B testing", "Validation frameworks", "Microsoft Office", "Google Workspace", "Google Slides", "PowerPoint" ], "skillCount" : 17, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 618.43713, "daysOld" : 4, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f2cf292fd229c055e5a", "title" : "Craftsperson, Inspection", "company" : "Mulberry", "industry" : "Production", "salary" : { "min" : 30000.0, "max" : 42000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Mid-level Craftsperson, Inspection in Bridgwater, United Kingdom within the Outdoor & Apparel industry, adjusted for company size and seniority." }, "location" : "Willows Factory, Bridgwater", "locations" : [ "Willows Factory, Bridgwater" ], "certifications" : [ "Corp Certification" ], "timestamp" : "2026-06-16T13:07:33.707", "fingerprint" : "87963b1b78c2ae870ba018725f8560cfa2e554aaa7d53c10bffb83a58950efad", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/mulberry/e420921e-8dba-4336-9b7e-2fb92d7cc7c1/apply", "externalId" : "e420921e-8dba-4336-9b7e-2fb92d7cc7c1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bridgwater", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.1283378,-3.0037046" } ], "locationText" : "Bridgwater, United Kingdom", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Inspect finished goods, Carry out packing, Bring trends to attention, Manage reporting process, Ensure paperwork is completed, Clear products by week end, Carry out inline inspection, Inspect raw materials, Complete random quality checks, Record results, Distribute results, Provide accurate information, Monitor leather allowances, Maintain lab equipment, Maintain testing equipment, Assist in other areas", "teamCollaboration" : "Work collaboratively with Materials Technologists", "domainKnowledge" : "Mulberry standards", "domainList" : [ "mulberry-standards" ], "domainSpecificKnowledge" : [ "Mulberry standards" ], "communicationSkills" : "Written skills", "qualificationsBasic" : "Good eye for detail, Good communication skills, Good written skills, Ability to remain focused, Ability to keep calm under pressure", "qualificationsPreferred" : "IT skills useful", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Born in 1971, the roots of Mulberry are in Somerset, England. For more than fifty years, Mulberry has been a British lifestyle brand, internationally acclaimed for quality and design capturing the Mulberry Spirit. Sustainability has been part of the Mulberry ethos since the brand's inception, in recognition of our purpose-driven approach, in 2024 we proudly achieved B Corp Certification. Today, we are a global brand, but our values remain the same; we are committed to improving our impact on people and the planet. To do this our people are honest, dynamic, and community spirited. If these are values you share, we would love you to join our team. Scope of Role: You will be part of the Quality Inspection Team carrying out inspections of our bags and raw materials both inline (during the production process) and end of line (finished goods). Duties and Responsibilities: − To inspect all finished goods to the correct standards using the Sealed Sample and 1st Production Sample. − Carry out Packing on finished goods using the correct Packing Specifications. − Bring to the attention of the Supervisor/Manager any trends so they can be resolved. − Manage the relevant reporting process including inspection, non-conformance, delivery etc ensuring the correct paperwork is completed so that quality can be analysed. − Work in a timely manner to ensure that all products are cleared by the end of the week. − Carry out In line Inspection of lines. − Work collaboratively with the Materials Technologists to carry out inspections on raw materials and components including rub test, light fastness, water spot etc. − Complete random quality checks of leather and components, recording the results following Mulberry’s set standards and distributing in a timely manor to relevant partners. − Provide accurate and relevant information so leather allowances can be accurately monitored and reviewed by the costings team. − Maintain the lab and testing equipment. − Assist in any other areas of the Department as necessary. Culture: − Embrace and demonstrate the Mulberry values and behaviours: honesty, dynamism, and a community-oriented spirit. − Support Mulberry to deliver an inclusive culture, through behaving in a way that is open-minded and respectful towards others, and understanding that your views, opinions, and experiences may not always be shared by your colleagues. − Act as an ambassador for Mulberry and communicate positively about the brand. Sustainability: − As a certified B Corp business, it is important to incorporate environmentally responsible practices into your work wherever possible. Support the businesses ‘Five C’s’ strategy in addressing and improving Climate, Cultivation, Craft, Culture and Circularity. Promote a greener, more sustainable future. − Support to foster an environment where diversity is embraced and all individuals feel valued, respected and included. Promote equity, empathy and understanding and demonstrate this commitment within your internal and external communities. Skills and Knowledge Required: − A very good eye for detail. − Good communication and written skills. − Flexible “Can Do” attitude. − Ability to remain focused. − Ability to keep calm under pressure. − IT skills would be useful but not essential. Other: − You may be asked to work on other Mulberry sites ## Additional Information Mulberry is an equal opportunities employer and we are passionate about hiring and developing the best talent. All hiring decisions are made only on the basis of qualifications, skills or experience and as they relate to the particular role. If you need us to make any adjustments to our application or interview processes to enable you to be at your best, please email us at talent@mulberry.com.", "summaryDescription" : "Craftsperson, Inspection at Mulberry. Inspect finished goods. Carry out packing", "postedDate" : "2026-06-15T09:08:15.766", "createdAt" : "2026-06-15T09:08:15.766", "lastUpdated" : "2026-06-16T13:07:33.707", "ingestTimestamp" : "2026-06-16T03:27:33.731", "mongoId" : "6a307f2cf292fd229c055e5a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Mulberry standards", "Corp Certification" ], "skillCount" : 2, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 618.40967, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Outdoor & Apparel", "llmIndustryConfidence" : 0.95 }, { "id" : "69f2d9ba4c40e2acd18900b4", "title" : "Nondestructive Evaluation (NDE) Engineer", "industry" : "Government", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an NDE Engineer in Houston, adjusted for mid-seniority in the aerospace industry." }, "location" : "United States-Texas-Houston", "locations" : [ "United States-Texas-Houston" ], "certifications" : [ "ASNT Level 3 certification" ], "timestamp" : "2026-06-16T01:13:45.564", "fingerprint" : "70ed99f42bb5dde27150a2a88467750c29c66f553b98e61ec542c0c767154a49", "source" : "taleo", "language" : "en", "applyUrl" : "https://jacobs.taleo.net/careersection/ex/jobdetail.ftl?job=324774", "externalId" : "324774", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "technicalSkills" : "X-ray inspection, Ultrasonic testing, Eddy current testing, Fluorescent eddy current, Eddy current ultrasonic, Phased array, Film inspection, Computed inspection, Digital computed inspection, Laser inspection, Infrared inspection, Machine learning", "professionalSkills" : [ "Procedure development", "Personnel qualification", "Probability of detection", "Inspection procedure qualification", "Failure investigation", "Problem resolution", "Equipment acquisition", "Equipment retirement", "Fracture control" ], "hardSkillsList" : [ "NDE methods", "NDE techniques", "NDE requirements", "NDE plans", "NDE procedures", "NDE reports", "NDE issues", "NDE work activity", "NDE Laboratory operations" ], "hardSkills" : [ { "name" : "NDE methods", "level" : "intermediate" }, { "name" : "NDE techniques", "level" : "intermediate" }, { "name" : "NDE requirements", "level" : "intermediate" }, { "name" : "NDE plans", "level" : "intermediate" }, { "name" : "NDE procedures", "level" : "intermediate" }, { "name" : "NDE reports", "level" : "intermediate" }, { "name" : "NDE issues", "level" : "intermediate" }, { "name" : "NDE work activity", "level" : "intermediate" }, { "name" : "NDE Laboratory operations", "level" : "intermediate" } ], "majorSkills" : "Nondestructive Evaluation, NDE procedures, NDE methods", "majorSkillsList" : [ "Nondestructive Evaluation", "NDE procedures", "NDE methods" ], "coreResponsibilities" : "Prepare NDE requirements, Review NDE requirements, Assess NDE requirements, Prepare NDE plans, Review NDE plans, Assess NDE plans, Prepare NDE procedures, Review NDE procedures, Assess NDE procedures, Prepare NDE reports, Review NDE reports, Assess NDE reports, Plan probability of detection demonstrations, Review probability of detection demonstrations, Assess probability of detection demonstrations, Plan inspection procedure qualification tests, Review inspection procedure qualification tests, Assess inspection procedure qualification tests, Analyze NDE issues, Resolve NDE issues, Complete actions towards resolution, Recommend NDE methods, Recommend NDE techniques, Recommend physical reference standards, Recommend qualification tests, Prepare NDE work activity reports, Present NDE work activity reports, Plan inspections, Conduct inspections, Report inspections, Support NDE Laboratory operations, Support NDE Laboratory maintenance, Recommend state-of-the-art equipment acquisitions, Recommend outdated equipment retirement, Represent NASA NDE/M&P engineering, Perform other duties as required", "teamCollaboration" : "Multidisciplinary team", "domainKnowledge" : "Human space exploration; Deep space exploration; Aerospace materials; Aerospace components; Metallic materials; Nonmetallic materials; Composite materials; Manufacturing processes; Welding; Additive manufacturing; Composite fabrication; Composite repair; Fracture control", "domainList" : [ "human-space-exploration", "deep-space-exploration", "aerospace-materials", "aerospace-components", "metallic-materials", "nonmetallic-materials", "composite-materials", "manufacturing-processes", "welding", "additive-manufacturing", "composite-fabrication", "composite-repair", "fracture-control" ], "domainSpecificKnowledge" : [ "Human space exploration", "Deep space exploration", "Aerospace materials", "Aerospace components", "Metallic materials", "Nonmetallic materials", "Composite materials", "Manufacturing processes", "Welding", "Additive manufacturing", "Composite fabrication", "Composite repair", "Fracture control" ], "toolProficiency" : [ "MS Office" ], "communicationSkills" : "Oral communication; Written communication", "documentationSkills" : "Technical writing", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Occasional travel, Proof of U.S. Citizenship, US Permanent Residency, Complete U.S. government background investigation, Office environment, Inside work, Outside work, Sitting for extended periods, Standing for extended periods, Lifting up to 25 lbs, Regular attendance, Ability to work outside normal schedule, Adjust schedule to meet peak periods, Adjust schedule to meet surge requirements", "qualificationsBasic" : "Bachelor's degree in science or engineering, 1 year of direct experience, Hands-on experience in NDE, Basic understanding of NDE procedure assessments, Familiarity with common NDE techniques, Proficiency with standard desktop software MS Office, Oral and written communication skills, Ability to work effectively within a multidisciplinary team", "qualificationsPreferred" : "Ph.D. preferred, 5-10 years of experience in NDE, Formal education in NDE desirable, ASNT Level 3 certification is favorable, Experience supporting NDE development, Experience with NDE simulation software, Familiar with metallic and nonmetallic materials", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about human space exploration, understanding the origins of the universe, and working with a passionate and diverse team to make a difference? If you are, we need you! We need your talent, teamwork, and energy to help us achieve great things that inspire people all over the globe. We need you to bring creative ideas and diverse backgrounds to help us envision, shape, and deliver systems that will enable the exploration of space while benefiting people here on Earth. We are excited about what we do, and we need you on our team as we take on exciting challenges for NASA’s pursuits in deep space exploration. As NASA’s largest engineering solutions provider working together with NASA at centers across the United States. We have an exciting opportunity for a Nondestructive Evaluation (NDE) Engineer to join the JETSII Contract! The candidate specializes in some of the NDE methods, such as x-ray inspection, ultrasonic testing, and eddy current testing including development, qualification of NDE procedures, and personnel qualification and certification. Work under this position supports multiple programs, including Commercial Crew Program (CCP). The work includes: Prepare, review, and assess NDE requirements, plans, procedures, and reports covering a broad range of metallic, nonmetallic, and composite materials and manufacturing processes Plan, review, assess, and conduct probability of detection (POD) capability demonstrations and inspection procedure qualification tests Analyze and resolve NDE issues and complete actions towards resolution Recommend NDE methods, techniques, physical reference standards, and qualification tests to satisfy NDE requirements Prepare and present NDE work activity reports for project and program meetings Plan, conduct, and report inspections in support of procedure development, hardware failure investigation, and problem resolution Support NDE Laboratory operations and maintenance through recommendation of state-of-the-art equipment acquisitions and outdated equipment retirement Represent NASA NDE/M&P engineering at government and industry Materials & Processes (M&P) and fracture control forums including technical interchange meetings, working groups, and conferences as required Tasks will involve all NDE methods and techniques with emphasis on fluorescent penetrant; eddy current and eddy current array; ultrasonic, phased array, and EMAT; film, computed, and digital radiography; computed tomography; laser shearography; and infrared thermography; inspection automation; and machine learning applied to aerospace materials and components The position requires occasional travel Perform other duties as required Requisition Qualifications: This position has been posted at multiple levels. Depending on the candidate's experience, requirements, and business needs, we reserve the right to consider candidates at any level for which this position has been advertised. Typically requires a bachelor's degree in Engineering with experience in the field or in a related area. Bachelor's degree in science or engineering from an ABET‑accredited university. Hands‑on experience in NDE (internships, coursework) and/or a minimum of 1 year of direct experience. Basic understanding of NDE procedure assessments, development, and problem solving Familiarity with common NDE techniques, including fluorescent penetrant; eddy current and eddy current array; ultrasonic and phased array; radiography; computed tomography; laser shearography; infrared thermography; and inspection automation. Proficiency with standard desktop software applications; MS Office required. Strong oral and written communication skills and the ability to work effectively within a multidisciplinary team. Requisition Preferences: Ph.D. preferred. 5-10 years of experience in NDE. Formal education in NDE is desirable but not necessary if professional NDE training/experience has been obtained. ASNT Level 3 certification is favorable but not required. Previous experience supporting NDE development, test, and evaluation activities for NASA and/or Aerospace projects Experience with use of NDE simulation software applications, e.g., CIVA, ESBeamTool, and POD software, e.g. mh1823 Familiar with metallic and nonmetallic materials and their manufacturing processes, which include welding, additive manufacturing, composite fabrication, and repair. Why Join Our Team? In addition to exciting career opportunities, we also have: Excellent personal and professional career growth 9/80 work schedule (every other Friday off), when applicable Onsite cafeteria (breakfast & lunch) Much, much more! For more information on our partnership with NASA at Johnson Space Center (JSC), please visit www.wehavespaceforyou.com Proof of U.S. Citizenship or US Permanent Residency may be a requirement for this position. Must be able to complete a U.S. government background investigation. Management has the prerogative to select at any level for which the position is advertised. Essential Functions Work Environment Generally, an office environment, but can involve inside or outside work depending on task. Physical Requirements Work may involve sitting or standing for extended periods (90% of time). May require lifting and carrying up to 25 lbs. (5% of time). Equipment and Machines Standard office equipment (PC, telephone, printer, etc.). Attendance Regular attendance in accordance with established work schedule is critical. Ability to work outside normal schedule and adjust schedule to meet peak periods and surge requirements. Other Essential Functions Professional behavior that enhances productivity and promotes teamwork and cooperation. Grooming and dress must be appropriate for the position and must not impose a safety risk/hazard to the employee or others. #JETS #JETSII United States-Texas-Houston-20331-ESCG", "summaryDescription" : "Nondestructive Evaluation (NDE) Engineer. Skills: Nondestructive Evaluation, NDE procedures, NDE methods. Prepare NDE requirements. Review NDE requirements", "createdAt" : "2026-06-14T18:50:38.514", "lastUpdated" : "2026-06-16T01:13:45.564", "ingestTimestamp" : "2026-06-14T18:50:38.514", "mongoId" : "69f2d9ba4c40e2acd18900b4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "NDE methods", "NDE techniques", "NDE requirements", "NDE plans", "NDE procedures", "NDE reports", "NDE issues", "NDE work activity", "NDE Laboratory operations", "Nondestructive Evaluation", "Procedure development", "Personnel qualification", "Probability of detection", "Inspection procedure qualification", "Failure investigation", "Problem resolution", "Equipment acquisition", "Equipment retirement", "Fracture control", "Human space exploration", "Deep space exploration", "Aerospace materials", "Aerospace components", "Metallic materials", "Nonmetallic materials", "Composite materials", "Manufacturing processes", "Welding", "Additive manufacturing", "Composite fabrication", "Composite repair", "ASNT Level 3 certification", "MS Office" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "_score" : 617.01, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3070f1f292fd229cff723a", "title" : "Monitoring, Evaluation and Learning (MEL) Intern", "company" : "SNV", "industry" : "Non-Profit Organization Management", "salary" : { "min" : 3600000.0, "max" : 6000000.0, "currency" : "TZS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level MEL Intern in Sumbawanga, Tanzania, adjusted for the non-profit industry and internship role." }, "location" : "Sumbawanga, Rukwa Region, TZ", "locations" : [ "Sumbawanga", "Rukwa Region", "TZ" ], "timestamp" : "2026-06-16T09:31:22.390", "fingerprint" : "cc4b5e85ace2adbcdf9b6211cad06539ce9a1464adeb2f43ce2f7bf28a70c6e2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SNV/744000132146344-monitoring-evaluation-and-learning-mel-intern", "externalId" : "744000132146344", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sumbawanga", "state" : "Rukwa Region", "country" : "Tanzania", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-7.9523861,31.6231898" } ], "locationText" : "Sumbawanga, Rukwa Region, Tanzania", "employmentType" : "INTERNSHIP", "experienceLevel" : "internship", "technicalSkills" : "KoboToolbox, ODK, Xlsforms, Microsoft Excel, Power BI, GIS, R, SPSS, Stata", "professionalSkills" : [ "Data management", "Data analysis", "Reporting", "Documentation", "Filing" ], "hardSkillsList" : [ "Data collection", "Data cleaning", "Data validation", "Data quality assurance", "Indicator tracking", "Trend analysis" ], "softSkillsList" : [ "Confidentiality" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data quality assurance", "level" : "intermediate" }, { "name" : "Indicator tracking", "level" : "intermediate" }, { "name" : "Trend analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Confidentiality" } ], "majorSkills" : "Data collection, Data analysis, Reporting, Data management", "majorSkillsList" : [ "Data collection", "Data analysis", "Reporting", "Data management" ], "coreResponsibilities" : "Support development, deployment and management of digital data, Coordinate with field officers, enumerators, CSOs, and extension, Assist in reviewing submitted datasets for completeness, consistency,, Centralize datasets into reusable data products, Maintain organized digital and physical MEL records, Support routine data cleaning, validation and data quality, Participate in field monitoring visits and spot checks, Support verification of reported activities and indicator achievements, Compile routine indicator tracking data, Support tracking project targets against achievements, Support preparation of activity reports, quarterly district reports,, Assist in documenting outcome harvesting evidence, success stories,, Generate basic summaries, tables, charts, and trend analyses, Support reporting/data gap analyses, Support organization of learning events, review meetings, and, Follow up with partners on data submissions and, Support logistics for surveys, assessments, and monitoring activities", "teamCollaboration" : "Working with field teams; Working with Value Chain Coordinators; Working with implementing partners; Engaging project partners; Engaging field stakeholders", "domainKnowledge" : "Agriculture; Nutrition; Food security; Climate resilience; Development projects; Market systems development", "domainList" : [ "agriculture", "nutrition", "food-security", "climate-resilience", "development-projects", "market-systems-development" ], "domainSpecificKnowledge" : [ "Agriculture", "Nutrition", "Food security", "Climate resilience", "Development projects", "Market systems development" ], "toolProficiency" : [ "KoboToolbox", "ODK", "Xlsforms", "Microsoft Excel", "Power BI", "R", "SPSS", "Stata" ], "documentationSkills" : "Documentation; Filing; Outcome harvesting; Success stories; Lessons learned", "specialRequirements" : "Willingness to travel frequently, Ability to work under tight timelines", "outcomesObjectives" : "Ensure high-quality data is always available; Strengthen timely availability of quality data for project management; Support evidence based decision making; Support donor reporting", "qualificationsBasic" : "Bachelor’s Degree or Diploma, Up to 2 years of relevant experience, Experience using KoboToolbox, ODK, or similar, Proficiency with developing digital data collection tools using xlsforms, Proficiency in Microsoft Excel, Basic data analysis and reporting skills, Good documentation and filing skills", "qualificationsPreferred" : "Experience with agriculture, nutrition, or development projects, Experience with dashboard development and data visualization, Knowledge of agricultural, nutrition, or market systems development projects, Familiarity with Power BI, GIS tools, R, SPSS, Stata or other statistical software, Possession of a valid motorcycle license", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "SNV Netherlands Development Organisation http://www.snv.org/ is a Dutch-based international development organisation that provides market-based solutions for the poor through local institutions and organisations in 24 developing countries in Asia, Africa and Latin America. Working in Agriculture, Energy, and Water, Sanitation & Hygiene, we have built a long-term, local presence in Asia, Africa and Latin America. Our global team of local and international advisors works with local partners to equip communities, businesses and organisations with the tools, knowledge and connections they need to increase their incomes and gain access to basic services – empowering them to break the cycle of poverty and guide their own development. With over 50 years of working to support Tanzanian communities, we have a long track record of achieving scale and sustainability that makes a lasting difference in the lives of people in poverty. SNV in Tanzania’s diverse portfolio covers climate-smart agriculture, landscape conservation, renewable energy, and water, sanitation and hygiene. Empowering Smallholder Farmers for Food Security and Climate Resilience (NOURISH Tanzania) is a five-year project that aims to achieve resilient food security and improve nutrition for SHF households in key regions of Tanzania. The project focuses on two areas, both of which experience food insecurity and malnutrition, but which are distinctly different: the central-northern zone (Singida, Dodoma, Manyara) which suffer from acute food insecurity and Southern Highlands (Songwe, Rukwa) which faces chronic malnutrition. The project has reached its mid-term stage and has established a strong foundation for implementation by improving smallholder farmer households’ knowledge of climate-smart agriculture and nutrition practices, while also strengthening engagement with critical stakeholders. Moving forward, the project aims to deepen adoption by consolidating access to essential services, strengthening linkages, and addressing key systemic barriers that have been identified. Through this placement, the project seeks to strengthen its monitoring, evaluation and learning function through management collection data collection and analysis and learning while ensuring high-quality data is always available for project management and learning purposes. The MEL Intern will support implementation of project MEL activities including data collection, verification, cleaning, compilation, reporting, and coordination working closely with field teams, Value Chain Coordinators and implementing partners. The role is intended to strengthen timely availability of quality data for project management, learning, evidence based decision making and donor reporting. * Support development, deployment and management of digital data collection tools (e.g. Kobo Toolbox/ODK). * Coordinate with field officers, enumerators, CSOs, and extension staff during data collection exercises. * Assist in reviewing submitted datasets for completeness, consistency, and accuracy * Centralize datasets into reusable data products (database, Excel files) and maintain organized digital and physical MEL records. * Support routine data cleaning, validation and data quality assurance processes. * Participate in field monitoring visits and spot checks. * Support verification of reported activities and indicator achievements. * Compile routine indicator tracking data and support tracking project targets against achievements. * Support preparation of activity reports, quarterly district reports, and annual reports. * Assist in documenting outcome harvesting evidence, success stories, lessons learned, field observations and other MEL resources. * Generate basic summaries, tables, charts, and trend analyses as well as reporting/data gap analyses using Excel or related tools. * Support organization of learning events, review meetings, and reflection sessions. * Follow up with partners on data submissions and reporting timelines. * Support logistics for surveys, assessments, and monitoring activities. ## Qualifications * Bachelor’s Degree or Diploma in Monitoring & Evaluation, Statistics, Agricultural Economics, ICT, Data Science, Data Management, Computer Science or related field. * Up to 2 years of relevant experience in MEL, research, project data management, or related fields, including internships, volunteer assignments, research projects, or development program experience. * Experience using KoboToolbox, ODK, or similar digital data collection systems * Proficiency with developing digital data collection tools using xlsforms (ODK/Kobo Toolbox). * Experience working with agriculture, nutrition, or development projects * Proficiency in Microsoft Excel, including the use of formulas, Pivot Tables, and data validation tools. * Basic data analysis and reporting skills. * Good documentation and filing skills. * Experience with dashboard development and data visualization. * Knowledge of agricultural, nutrition, or market systems development projects. * Familiarity with Power BI, GIS tools, R, SPSS, Stata or other statistical software * Possession of a valid motorcycle license is an added advantage. Attributes: * High attention to detail. * Strong organizational skills. * Integrity and confidentiality in handling data. * Ability to work independently and within teams. * Willingness to travel frequently to field locations, * Ability to work under tight timelines. * Strong interpersonal and communication skills for engaging project partners and field stakeholders ## Additional Information ADDITIONAL INFORMATION Location: Sumbawanga (with frequent field travel) Duration: 1 year (possibility of renewal) Remuneration: Based strictly on SNV Tanzania internship rates. WORKING AT SNV SNV offers a challenging work environment, opportunities to lead and innovate, and a commitment to growing your skills in a fulfilling and diverse working environment. Our staff benefit from, and contribute to, an internal global network of Agri Food team. HOW TO APPLY The vacancy is for internal and external candidates and it will active up to 20th June 2026. All applications should be through Smart Recruiters on the following link .", "summaryDescription" : "Monitoring, Evaluation and Learning (MEL) Intern at SNV. Skills: Data collection, Data analysis, Reporting, Data management. Support development, deployment and management of digital data. Coordinate with field officers, enumerators, CSOs, and extension", "postedDate" : "2026-06-15T08:59:59.000", "createdAt" : "2026-06-16T01:31:18.695", "lastUpdated" : "2026-06-16T09:31:22.390", "ingestTimestamp" : "2026-06-16T01:31:18.695", "mongoId" : "6a3070f1f292fd229cff723a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data collection", "Data cleaning", "Data validation", "Data quality assurance", "Indicator tracking", "Trend analysis", "Confidentiality", "Data analysis", "Reporting", "Data management", "Documentation", "Filing", "Agriculture", "Nutrition", "Food security", "Climate resilience", "Development projects", "Market systems development", "KoboToolbox", "ODK", "Xlsforms", "Microsoft Excel", "Power BI", "R", "SPSS", "Stata" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 616.0819, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a472574d8ee00a05d848a", "title" : "Testing Engineer", "company" : "Designed Conveyor Systems", "industry" : "Material Handling", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Testing Engineer in Franklin, United States, adjusted for the manufacturing industry and company size." }, "location" : "Franklin, Tennessee, United States", "locations" : [ "Franklin", "Tennessee", "United States" ], "timestamp" : "2026-06-14T21:31:55.099", "fingerprint" : "a38621ce850ec7e0b2318fd108ddc47afc3978d10eae2b15d22994db27d169b7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/designedconveyorsystems/jobs/7584388003", "externalId" : "7584388003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Franklin", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "35.9252060,-86.8689419" } ], "locationText" : "Franklin, Tennessee, United States", "technicalSkills" : "PLC, WES, WCS", "professionalSkills" : [ "Data analysis", "Statistical methods" ], "hardSkillsList" : [ "Testing engineering", "Material handling equipment", "Industrial products", "System management", "Program management", "Automation go-lives", "Data acquisition", "Safety standards", "Regulatory requirements" ], "hardSkills" : [ { "name" : "Testing engineering", "level" : "intermediate" }, { "name" : "Material handling equipment", "level" : "intermediate" }, { "name" : "Industrial products", "level" : "intermediate" }, { "name" : "System management", "level" : "intermediate" }, { "name" : "Program management", "level" : "intermediate" }, { "name" : "Automation go-lives", "level" : "intermediate" }, { "name" : "Data acquisition", "level" : "intermediate" }, { "name" : "Safety standards", "level" : "intermediate" }, { "name" : "Regulatory requirements", "level" : "intermediate" } ], "majorSkills" : "Testing engineering, Material handling, Automation, Data analysis", "majorSkillsList" : [ "Testing engineering", "Material handling", "Automation", "Data analysis" ], "coreResponsibilities" : "Design and implement comprehensive test plans, Evaluate performance, durability, and safety of material handling, Augment User Acceptance Testing, Augment Operational Readiness Tests, Run simulations and scripts, Collect test data, Analyze test data, Interpret test data, Identify trends and anomalies, Identify areas for improvement, Prepare detailed test reports, Present findings to engineering team and management, Identify root causes of failures or performance issues, Collaborate with design engineers to develop solutions, Collaborate with design engineers to test solutions, Implement corrective actions, Ensure material handling equipment meets standards, Ensure material handling equipment meets quality criteria, Ensure material handling equipment meets customer expectations, Participate in development of quality assurance policies, Participate in revision of quality assurance policies, Maintain up-to-date knowledge of industry safety standards, Maintain up-to-date knowledge of regulatory requirements, Ensure all tests are conducted in compliance with, Prioritize safety of personnel and equipment, Work closely with equipment suppliers, Work closely with procurement teams, Work closely with quality assurance teams, Integrate testing results into product lifecycle, Provide technical support to manufacturing teams, Provide technical support to field service teams, Provide training to manufacturing teams, Provide training to field service teams, Contribute to continuous improvement of testing processes, Contribute to continuous improvement of testing methodologies, Stay informed about latest testing technologies, Stay informed about industry trends", "teamCollaboration" : "Multidisciplinary teams; Sales teams; Project management teams; Engineering teams; Consulting teams; Site analysts; Super-users; External OEM vendors; Equipment suppliers; Procurement teams; Quality assurance teams; Manufacturing teams; Field service teams", "projectManagementSkills" : [ "Project management", "Systems engineering", "Site management", "Automation installs" ], "domainKnowledge" : "Material handling equipment; Conveyors; Sorters; Singulators; AS/RS; Robotic handling systems; Lift equipment; Warehouse operations; Industry safety standards; Regulatory requirements", "domainList" : [ "material-handling-equipment", "conveyors", "sorters", "singulators", "as-rs", "robotic-handling-systems", "lift-equipment", "warehouse-operations", "industry-safety-standards", "regulatory-requirements" ], "domainSpecificKnowledge" : [ "Material handling equipment", "Conveyors", "Sorters", "Singulators", "AS/RS", "Robotic handling systems", "Lift equipment", "Warehouse operations", "Industry safety standards", "Regulatory requirements" ], "toolProficiency" : [ "Testing equipment", "Data acquisition systems", "Related software tools" ], "communicationSkills" : "Present technical information", "documentationSkills" : "Test reports", "continuousLearning" : "Latest testing technologies; Industry trends", "problemSolvingSkills" : "Problem-solving; Root cause analysis; Troubleshooting", "specialRequirements" : "75% travel required, Onsite during testing, Exposure to machinery, noise, and dust", "outcomesObjectives" : "Ensure product quality; Ensure compliance with industry standards; Support successful launches; Support turnovers; Improve product quality; Improve product performance", "qualificationsBasic" : "Bachelor's degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering, or related field, 5+ years of experience in testing engineering, Experience managing large systems and physical programs, Experience with PLC/WES/WCS conversions, launches, and automation go-lives, Analytical skills with experience in data analysis and statistical methods, Proficient in using testing equipment, data acquisition systems, and related software tools, Excellent problem-solving abilities, Attention to detail, Effective communication skills, Ability to work in multidisciplinary teams, Ability to present technical information clearly, Knowledge of industry safety standards and regulations, Ability to manage multiple projects simultaneously, Ability to work in a fast-paced environment", "qualificationsPreferred" : "Experience with material handling equipment or similar industrial products", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Position Overview: As a Material Handling Testing Engineer, you will play a critical role in ensuring the reliability, efficiency, and safety of our material handling equipment solutions. You will be responsible for designing and conducting tests on various types of material handling equipment, analyzing test data, and recommending improvements to ensure product quality and compliance with industry standards. In this position, you will lead all development teams in launching Greenfield/Retrofit automated sites, working side by side with the Project Manager, the Systems Engineer, the Site Manager, automation and software suppliers, and external systems teams managing all facets of the interior automation installs within our customers’ warehouses. They will support DCS’s teams pre- and post- go-live to ensure a smooth transition. Key Responsibilities: Test Planning and Execution: Work with sales, project management, engineering and consulting to design and implement comprehensive test plans to evaluate the performance, durability, and safety of material handling equipment, including conveyors, sorters, singulators, automated storage and retrieval systems (AS/RS), robotic handling systems, and lift equipment. Augment User Acceptance Testing (UAT) and Operational Readiness Tests, working with site analysts, project managers, and super-users internal and from external OEM vendors to run all simulations and scripts required to support successful launches and turnovers. Data Analysis and Reporting: Collect, analyze, and interpret test data, using statistical tools to identify trends, anomalies, or areas for improvement. Prepare detailed test reports and present findings to the engineering team and management. Problem-Solving: Identify root causes of failures or performance issues and collaborate with design engineers to develop and test solutions. Implement corrective actions to improve product quality and performance. Quality Assurance: Ensure all material handling equipment meets or exceeds industry standards, company quality criteria, and customer expectations. Participate in the development and revision of quality assurance policies and procedures. Safety and Compliance: Maintain up-to-date knowledge of industry safety standards and regulatory requirements. Ensure all tests are conducted in compliance with customer standards, prioritizing the safety of personnel and equipment. Collaboration and Support: Work closely with equipment suppliers, procurement, and quality assurance teams to integrate testing results into all phases of the product lifecycle. Provide technical support and training to manufacturing and field service teams as needed. Continuous Improvement: Contribute to the continuous improvement of testing processes and methodologies. Stay informed about the latest testing technologies and industry trends to enhance testing efficiency and effectiveness. Qualifications: Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering, or a related field. 5+ years of experience in testing engineering, specifically with material handling equipment or similar industrial products. Experience managing large systems and physical programs including PLC/WES/WCS conversions, launches, and automation go-lives. Strong analytical skills with experience in data analysis and statistical methods. Proficient in using testing equipment, data acquisition systems, and related software tools. Excellent problem-solving abilities and attention to detail. Effective communication skills, capable of working in multidisciplinary teams and presenting technical information clearly. Knowledge of industry safety standards and regulations related to material handling equipment. Ability to manage multiple projects simultaneously and work in a fast-paced environment. Working Conditions: This role is remote and involves working onsite during testing. Hands-on testing may require exposure to machinery, noise, and dust. Safety protocols must be strictly followed. Travel is required for field testing or to visit manufacturing sites and is estimated at 75%. About Us:    Conveyor may be in our name, but it’s only part of what we do. DCS was founded in 1982 and has grown to serve major clients in multiple industries by providing material handling, full-scale warehouse operations and conveyor design solutions that are custom crafted for their need. We don’t sell ready-made systems - we build relationships that empower us to craft custom solutions together. It’s the teamwork approach, sharing ideas and building upon them, that produces the best results.    And DCS is committed to creating an extraordinary employment experience for our team. We work like crazy to hire and develop great people, build relationships, and ensure that the programs and services we offer our team are among the best in the business- from a killer snack wall and casual work environment to flexible PTO and opportunities to give back within the community. More reasons to join our team:    We pride ourselves in our family-like culture and casual, but focused, work environment    We offer competitive salaries and health benefits    Our 401K program includes a 100% match up to 5%    Participation in our Discretionary Profit-Sharing Program    We offer our employees flexibility and autonomy    We do community outreach projects throughout the year    We know how to throw company events    We work hard, but we also know how to have fun - darts, anyone? Individuals seeking employment at Designed Conveyor Systems are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Accommodation is available to applicants with a disability condition, when applying, testing, or interviewing for a position. Please let us know if you need accommodation. ", "summaryDescription" : "Testing Engineer at Designed Conveyor Systems. Skills: Testing engineering, Material handling, Automation, Data analysis. Design and implement comprehensive test plans. Evaluate performance, durability, and safety of material handling", "postedDate" : "2026-06-11T17:29:08.090", "createdAt" : "2026-06-11T17:29:08.090", "lastUpdated" : "2026-06-14T21:31:55.099", "ingestTimestamp" : "2026-06-11T17:29:08.090", "mongoId" : "6a2a472574d8ee00a05d848a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Testing engineering", "Material handling equipment", "Industrial products", "System management", "Program management", "Automation go-lives", "Data acquisition", "Safety standards", "Regulatory requirements", "Material handling", "Automation", "Data analysis", "Statistical methods", "Project management", "Systems engineering", "Site management", "Automation installs", "Conveyors", "Sorters", "Singulators", "AS/RS", "Robotic handling systems", "Lift equipment", "Warehouse operations", "Industry safety standards", "Testing equipment", "Data acquisition systems", "Related software tools" ], "skillCount" : 28, "jobCategory" : "other", "jobSubcategory" : "project-management,-d&f", "dataQualityScore" : 0.7777778, "_score" : 615.3646, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Material Handling" }, { "id" : "6a2c7f0074d8ee00a0954453", "title" : "Product Test Engineer (OS &Automation)", "company" : "iFIT", "industry" : "Sports & Fitness", "salary" : { "min" : 85000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "certifications" : [ "Six Sigma" ], "timestamp" : "2026-06-16T06:49:14.377", "fingerprint" : "8ceab6b8486fd268ff22ab42fdb3bf295241c29077735ec9256f9c5da057a9e1", "source" : "greenhouse", "language" : "en", "applyUrl" : "http://www.ifit.com/careers?gh_jid=4284321009", "externalId" : "4284321009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Logan", "state" : "Utah", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "41.7313063,-111.8349140" } ], "locationText" : "Logan, Utah, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Android OS, Python", "professionalSkills" : [ "Process improvement", "Test strategy" ], "hardSkillsList" : [ "Automated test scripts", "Manual tests", "Test plans", "Test protocols", "Root cause analysis", "Troubleshooting" ], "softSkillsList" : [ "Ambitious", "Solutions-oriented" ], "hardSkills" : [ { "name" : "Automated test scripts", "level" : "intermediate" }, { "name" : "Manual tests", "level" : "intermediate" }, { "name" : "Test plans", "level" : "intermediate" }, { "name" : "Test protocols", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ambitious" }, { "name" : "Solutions-oriented" } ], "majorSkills" : "OS validation, Automation scripts, Product testing", "majorSkillsList" : [ "OS validation", "Automation scripts", "Product testing" ], "coreResponsibilities" : "Assist in VAVE programs, Complete proper documentation, Update and review procedures, Integrate additional fixtures, Enable efficient testing, Establish a TestRail project, Standardize testing, Empower the use of AI, Increase productivity, Improve procedure protocols, Enhance test reporting, Design automated test scripts, Implement automated test scripts, Improve testing efficiency, Improve testing accuracy, Improve cycle time, Perform hands-on tests, Validate new tablet hardware, Validate Android OS, Make technical contributions, Develop test plans, Implement test plans, Validate embedded tablet, Participate in NPI testing, Validate OS design, Assess post-launch, Ensure OS updates meet standards, Ensure tablet integrations meet standards, Collaborate with cross-functional teams, Define software test requirements, Ensure alignment, Drive process improvements, Establish test protocols, Refine test protocols, Execute test protocols, Establish automation strategies, Refine automation strategies, Execute automation strategies, Ensure robust OS performance, Ensure app performance, Lead root cause analysis, Troubleshoot software bugs, Troubleshoot OS crashes, Troubleshoot automation script failures, Resolve bugs, Prevent future occurrences, Champion continuous improvement initiatives, Enhance software test efficiency, Enhance product quality, Provide detailed reports, Provide actionable reports, Report on test results, Report on progress, Report on risks, Communicate findings, Communicate mitigation strategies", "teamCollaboration" : "Cross-functional teams; Engineering teams; App Development teams; App testing group", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Android OS; Embedded tablet", "domainList" : [ "android-os", "embedded-tablet" ], "domainSpecificKnowledge" : [ "Android OS", "Embedded tablet" ], "toolProficiency" : [ "TestRail" ], "communicationSkills" : "Present technical data", "innovationCreativity" : "AI for productivity", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "Authorized to work in the United States without sponsorship", "qualificationsBasic" : "2+ years of experience in product test engineering or validation, Familiarity with the NPI process, Hands-on experience with product testing, validation, and troubleshooting, Background in test methodologies, test equipment, and automated testing processes, Experience developing test programs using software languages such as Python or similar, Proven ability to work within a cross-functional team, Supporting multiple projects concurrently, Problem-solving skills, Authorized to work in the United States without sponsorship", "qualificationsPreferred" : "Master's degree is a plus, Experience writing quality, testable, maintainable code using AI, Experience in testing consumer products, medical devices, or similar industries, Familiarity with test automation tools and software, Six Sigma or similar process improvement certification, Knowledge of Agile methodologies", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "iFIT’s vision is to create the world's most holistic health and fitness platform, integrating all elements of health - physical fitness, mental health, nutrition and active recovery - into a seamless interactive experience. We develop proprietary software that learns and adjusts to the habits of each person as it delivers immersive content that guides them on their own individual fitness journey. We are currently seeking an ambitious pace-setter to join our team as a Product Test Engineer (OS and Automation) hybrid in Logan, Utah. iFIT is looking for a driven and detail-oriented Product Test Engineer to play a pivotal role in ensuring the quality and reliability of our products through robust testing, validation, and process improvement initiatives. In this role, you will collaborate with cross-functional teams — including Engineering, App Development, and the app testing group — to ensure the quality, reliability, and performance of the Android OS and tablet hardware embedded within our products. You will drive our testing strategy, ensuring the seamless validation of new hardware and software updates while identifying potential risks to improve overall testing efficiency and accuracy. Your primary focus will be designing and developing robust automation scripts, alongside executing manual tests for scenarios that require a hands-on approach. COMPENSATION $85,000 - $95,000 ROLE COMMITMENTS Assist in VAVE programs by completing proper documentation and procedures to help reduce cost, and updating and reviewing procedures and results within the TestRail configuration of the VAVE initiative. Integrate additional fixtures into testing cages to enable more efficient and effective testing for new and existing modalities. Establish a TestRail project for the treadmill modality to encapsulate and standardize the complete testing of the modality. Empower the use of AI to increase productivity, improve procedure protocols, and enhance test reporting. ESSENTIAL DUTIES AND RESPONSIBILITIES Design, write, and implement automated test scripts to improve testing efficiency, accuracy, and cycle time for Android OS validations. Perform hands-on tests that cannot be done with automation to validate new tablet hardware and Android OS. Make technical contributions as part of a specialized team of software and product test engineers. Develop and implement comprehensive test plans focused on Android OS and embedded tablet validation for new product development. Participate in the NPI testing process from initial OS design validation to post-launch assessment, ensuring that OS updates and tablet integrations meet quality and performance standards. Collaborate with cross-functional teams including Engineering, App Development, and Quality Assurance to define software test requirements, ensure alignment, and drive process improvements. Establish, refine, and execute test protocols, methodologies, and automation strategies to ensure robust OS and app performance under various conditions. Lead root cause analysis and troubleshooting for software bugs, OS crashes, and automation script failures, working with development teams to resolve and prevent future occurrences. Champion continuous improvement initiatives, leveraging data and insights to enhance software test efficiency and overall product quality. Provide detailed, actionable reports to senior leadership on test results, progress, and risks, ensuring clear communication of findings and mitigation strategies. EDUCATION Master's degree is a plus. 2+ years of experience in product test engineering or validation. Familiarity with the NPI process and hands-on experience with product testing, validation, and troubleshooting. Strong background in test methodologies, test equipment, and automated testing processes. Experience developing test programs using software languages such as Python or similar. Proven ability to work within a cross-functional team, collaborating with other team members and supporting multiple projects concurrently. Excellent communication skills, with the ability to present complex technical data to non-technical stakeholders. Strong problem-solving skills with a proactive, solutions-oriented mindset. Highly motivated to achieve both team and individual goals. Authorized to work in the United States without sponsorship. Preferred Qualifications Experience writing quality, testable, maintainable code using AI. Experience in testing consumer products, medical devices, or similar industries. Familiarity with test automation tools and software. Six Sigma or similar process improvement certification. Knowledge of Agile methodologies. DISCLAIMER Compensation may vary based on the job level, your geographic work location, position incentive plan, and exemption status. Although we currently may consider hiring in the states listed below, not all positions are available in all locations, and work in a particular state is not guaranteed. Current list of states where iFIT may consider hiring: AK, AL, AR, AZ, CA, CO, CT, FL, GA, ID, IL, IN, KS, KY, LA, MA, MD, MI, MN, MO, MS, NC, NH, NJ, NV, NY, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VA, WA, WI, WY. Subject to applicable state laws, your employment at iFIT is \"at-will\". At-will employment means that you and the company each have the right to terminate the employment relationship at any time for any cause or for no cause at all. Pay Range: $85,000—$95,000 USD iFIT does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, ancestry, mental or physical disability, sexual orientation, gender identity, medical condition, genetic information, marital status, veteran status or any other characteristic protected by law.", "summaryDescription" : "Product Test Engineer (OS &Automation) at iFIT. Skills: OS validation, Automation scripts, Product testing. Assist in VAVE programs. Complete proper documentation", "postedDate" : "2026-06-14T19:20:46.132", "createdAt" : "2026-06-14T19:20:46.132", "lastUpdated" : "2026-06-16T06:49:14.377", "ingestTimestamp" : "2026-06-14T19:20:46.132", "mongoId" : "6a2c7f0074d8ee00a0954453", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Automated test scripts", "Manual tests", "Test plans", "Test protocols", "Root cause analysis", "Troubleshooting", "Ambitious", "Solutions-oriented", "OS validation", "Automation scripts", "Product testing", "Process improvement", "Test strategy", "Agile methodologies", "Android OS", "Embedded tablet", "Six Sigma", "TestRail" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 615.1042, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306729f292fd229cfb9da4", "title" : "Eyewear Inspection Technician", "company" : "ROKA", "industry" : "Manufacturing", "salary" : { "min" : 42500.0, "max" : 57500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on 2024-2025 market data for a Junior Eyewear Inspection Technician in Austin, United States, with adjustments for industry and company size." }, "location" : "Austin, Texas, United States", "locations" : [ "Austin", "Texas", "United States" ], "timestamp" : "2026-06-16T08:39:54.199", "fingerprint" : "29551c8d3bf6cbd1ee1a444d863b519c7740b133f606197f659e408cc3c954f7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.roka.com/pages/careers?gh_jid=6030933004", "externalId" : "6030933004", "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" : 1, "technicalSkills" : "Optical inspection equipment, Lensometers", "professionalSkills" : [ "Quality control", "Process performance", "Continuous improvement" ], "hardSkillsList" : [ "Verify lens power", "Verify axis", "Verify prism", "Verify pupillary distance", "Verify segment height", "Cosmetic inspections", "Identify scratches", "Identify chips", "Identify coating defects", "Identify mounting issues", "Identify assembly discrepancies", "Assemble prescription eyewear", "Lens mounting", "Frame alignment" ], "hardSkills" : [ { "name" : "Verify lens power", "level" : "intermediate" }, { "name" : "Verify axis", "level" : "intermediate" }, { "name" : "Verify prism", "level" : "intermediate" }, { "name" : "Verify pupillary distance", "level" : "intermediate" }, { "name" : "Verify segment height", "level" : "intermediate" }, { "name" : "Cosmetic inspections", "level" : "intermediate" }, { "name" : "Identify scratches", "level" : "intermediate" }, { "name" : "Identify chips", "level" : "intermediate" }, { "name" : "Identify coating defects", "level" : "intermediate" }, { "name" : "Identify mounting issues", "level" : "intermediate" }, { "name" : "Identify assembly discrepancies", "level" : "intermediate" }, { "name" : "Assemble prescription eyewear", "level" : "intermediate" }, { "name" : "Lens mounting", "level" : "intermediate" }, { "name" : "Frame alignment", "level" : "intermediate" } ], "majorSkills" : "Eyewear inspection, Quality standards, Optical specifications", "majorSkillsList" : [ "Eyewear inspection", "Quality standards", "Optical specifications" ], "coreResponsibilities" : "Perform final inspection and verification of prescription eyewear, Ensure compliance with ROKA quality standards, Ensure compliance with customer specifications, Verify lens power, axis, prism, pupillary distance, segment, Conduct cosmetic inspections of lenses and frames, Identify scratches, chips, coating defects, mounting issues, and, Validate frame and lens combinations against production orders, Ensure product accuracy, Operate manual and automated inspection equipment, Assemble prescription and plano eyewear accurately, Ensure proper lens mounting, Ensure frame alignment, Identify and report non-conforming products, Support corrective action efforts, Maintain inspection throughput targets, Ensure adherence to quality standards, Resolve quality concerns, Improve process performance, Follow established Standard Operating Procedures, Follow work instructions, Follow quality control protocols, Maintain a clean work environment, Maintain an organized work environment, Maintain a safe work environment, Participate in continuous improvement initiatives, Reduce defects, Improve efficiency, Support production schedules, Support departmental priorities, Ensure on-time delivery commitments", "teamCollaboration" : "Collaborate with Production; Collaborate with Quality; Collaborate with Manufacturing teams", "domainKnowledge" : "Optical specifications; Prescription eyewear; Ophthalmic lenses; Lens verification; Prism measurement; Frame alignment standards; ANSI optical standards", "domainList" : [ "optical-specifications", "prescription-eyewear", "ophthalmic-lenses", "lens-verification", "prism-measurement", "frame-alignment-standards", "ansi-optical-standards" ], "domainSpecificKnowledge" : [ "Optical specifications", "Prescription eyewear", "Ophthalmic lenses", "Lens verification", "Prism measurement", "Frame alignment standards", "ANSI optical standards" ], "toolProficiency" : [ "Lensometers" ], "specialRequirements" : "Ability to stand for prolonged periods, Ability to occasionally stoop, bend, kneel, crouch, reach, and twist, Ability to lift up to 45 lbs, Excellent hand-eye coordination, Excellent fine motor skills, Excellent finger dexterity, Excellent manual dexterity, Control precision, Steady hands/arms", "qualificationsBasic" : "Experience using inspection and measurement equipment, Accurately interpret work orders, prescriptions, and manufacturing specifications, Attention to detail, Visual acuity, Maintain a high level of accuracy, Basic computer proficiency, Organizational skills, Communication skills, Teamwork skills, Ability to work independently, Ability to follow written and verbal instructions in English", "qualificationsPreferred" : "Experience inspecting prescription eyewear, Experience using manual and automated lensometers, Knowledge of lens verification, Familiarity with ANSI optical standards", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Summary Location: Austin, TX Experience: 1+ year Commitment: Full Time About ROKA: Welcome to ROKA, an independent performance eyewear brand born in Austin, Texas. We've redefined what everyday eyewear can be by infusing cutting-edge sport performance technology into prescription glasses and sunglasses built for real life. Whether you're training, running, cycling, or tackling your daily grind, if you move, we've built eyewear that moves with you. Position Summary: ROKA is seeking a focused, detail-oriented, and reliable Eyewear Inspection Technician to join our manufacturing team. In this role, you will be responsible for inspecting and validating prescription eyewear to ensure compliance with optical specifications, cosmetic quality standards, and customer requirements. The ideal candidate possesses strong attention to detail, experience working in a quality-focused manufacturing environment, and the ability to maintain accuracy while meeting production deadlines. Responsibilities: Perform final inspection and verification of prescription eyewear to ensure compliance with ROKA quality standards and customer specifications Verify lens power, axis, prism, pupillary distance (PD), segment height, and other prescription parameters using optical inspection equipment Conduct cosmetic inspections of lenses and frames to identify scratches, chips, coating defects, mounting issues, and assembly discrepancies Validate frame and lens combinations against production orders to ensure product accuracy Operate manual and automated inspection equipment, including lensometers and other optical measurement devices Assemble prescription and plano eyewear accurately according to work order specifications, ensuring proper lens mounting, frame alignment, and overall product quality Identify report non-conforming products while supporting corrective action efforts Maintain inspection throughput targets while ensuring adherence to quality standards Collaborate with Production, Quality, and Manufacturing teams to resolve quality concerns and improve process performance Follow established Standard Operating Procedures (SOPs), work instructions, and quality control protocols Maintain a clean, organized, and safe work environment Participate in continuous improvement initiatives to reduce defects and improve efficiency Support production schedules and departmental priorities to ensure on-time delivery commitments Required Qualifications: Experience using inspection and measurement equipment to verify product quality and conformance Ability to accurately interpret work orders, prescriptions, and manufacturing specifications Strong attention to detail with the ability to identify cosmetic and optical defects Strong visual acuity and the ability to distinguish minor defects in lenses and frames Ability to maintain a high level of accuracy while working in a fast-paced production environment Basic computer proficiency for production tracking, data entry, and quality documentation Strong organizational, communication, and teamwork skills Ability to work independently and make sound quality decisions Ability to follow written and verbal instructions in English Bi-lingual (English and Spanish) a plus Authorized to work in the U. S. Preferred Qualifications: Experience inspecting prescription eyewear or ophthalmic lenses Experience using manual and automated lensometers Knowledge of lens verification, prism measurement, PD verification, and frame alignment standards Familiarity with ANSI optical standards and quality inspection practices Experience working in a regulated manufacturing or quality-controlled environment Work Environment: Work is performed primarily in an optical laboratory setting Environment is fast-paced and deadline oriented May work alone in lab as necessary or with partner Exposure to dusts, fumes, glass and/or plastic lens particulates, standard chemicals found in optical lab (some of which may be caustic), metal alloy (solid and melted), moderately high levels of noise, fluorescent lighting, cleaning agents and electrical energy Will be working primarily with small manual tools (screwdriver, pliers, etc.), lenses, frames, and automated laboratory equipment This environment requires: Ability to stand for prolonged periods of time (up to 8 hours per day per scheduled shift) Ability to occasionally stoop, bend, kneel, crouch, reach, and twist. Ability to lift, carry, push, and/or pull up to approximately 45 lbs. Must possess excellent hand-eye coordination and fine motor skills Must possess excellent finger and manual dexterity, control precision, steady hands/arms This role is onsite at ROKA Headquarters; Monday - Friday Benefits Employee and industry discounts Fun and casual but high-performance atmosphere Onsite corporate gym Health, dental, vision & FSA, employer paid life insurance Vacation and sick leave 401(k) with match Gym membership stipend Paid maternity (16 weeks) and paternity (8 weeks) leave", "summaryDescription" : "Eyewear Inspection Technician at ROKA. Skills: Eyewear inspection, Quality standards, Optical specifications. Perform final inspection and verification of prescription eyewear. Ensure compliance with ROKA quality standards", "postedDate" : "2026-06-15T23:27:50.723", "createdAt" : "2026-06-15T23:27:50.723", "lastUpdated" : "2026-06-16T08:39:54.199", "ingestTimestamp" : "2026-06-15T23:27:50.723", "mongoId" : "6a306729f292fd229cfb9da4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 42500, "salaryAnnualMax" : 57500, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Verify lens power", "Verify axis", "Verify prism", "Verify pupillary distance", "Verify segment height", "Cosmetic inspections", "Identify scratches", "Identify chips", "Identify coating defects", "Identify mounting issues", "Identify assembly discrepancies", "Assemble prescription eyewear", "Lens mounting", "Frame alignment", "Eyewear inspection", "Quality standards", "Optical specifications", "Quality control", "Process performance", "Continuous improvement", "Prescription eyewear", "Ophthalmic lenses", "Lens verification", "Prism measurement", "Frame alignment standards", "ANSI optical standards", "Lensometers" ], "skillCount" : 27, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 613.9961, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305098f292fd229cef28e1", "title" : "Product Manager, Growth", "company" : "Jerry. ai", "industry" : "Product", "salary" : { "min" : 110000.0, "max" : 140000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Palo Alto, California", "locations" : [ "Palo Alto, California", "Chicago, Illinois", "Boston, Massachusetts", "Toronto, Ontario", "New York, New York", "Los Angeles, California", "Houston, Texas" ], "timestamp" : "2026-06-16T11:28:59.144", "fingerprint" : "0d9005b317d5f021c5ebe8668404aa10fc9d1fc579ab2214c65ee016a5122ff4", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/b6728bf8-23dc-4e64-9715-19a43cdb0aa6/application", "externalId" : "b6728bf8-23dc-4e64-9715-19a43cdb0aa6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Product strategy", "Roadmap development", "User story creation", "Analytical foundations", "Quantitative analysis" ], "hardSkillsList" : [ "Funnel analysis", "Experiment design" ], "hardSkills" : [ { "name" : "Funnel analysis", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" } ], "majorSkills" : "Product ownership, Growth initiatives, User experience", "majorSkillsList" : [ "Product ownership", "Growth initiatives", "User experience" ], "coreResponsibilities" : "Develop product understanding, Conduct product walkthroughs, Map user journeys, Identify friction points, Monitor user feedback, Synthesize feedback into insights, Drive bug triage, Drive bug resolution, Lead product initiative delivery, Ship product features, Contribute to A/B testing, Design experiments, Translate customer problems, Create hypotheses, Create requirements, Create roadmap priorities, Coordinate with China engineering team, Maintain daily overlap with China", "teamCollaboration" : "Engineering; Design; Analytics; Marketing; Senior leadership; CEO; China-based engineering team", "projectManagementSkills" : [ "Roadmap priorities" ], "domainKnowledge" : "Car ownership; Auto insurance; Car maintenance; Car financing", "domainList" : [ "car-ownership", "auto-insurance", "car-maintenance", "car-financing" ], "domainSpecificKnowledge" : [ "Car ownership", "Auto insurance", "Car maintenance", "Car financing" ], "toolProficiency" : [ "AI", "GenAI" ], "communicationSkills" : "Communicate with precision", "problemSolvingSkills" : "Break down complex problems; Form hypotheses; Pressure-test hypotheses", "specialRequirements" : "Flex working hours", "qualificationsBasic" : "2-3 years consulting experience, 2-3 years product management experience, 2-3 years product operations experience, 3-4 hours daily overlap with China business hours", "qualificationsPreferred" : "Chinese (Mandarin) language skills", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About Jerry.ai http://Jerry.ai Jerry.ai is building America’s first and only AI-powered super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million users, and have helped millions find better auto insurance — and we’re just getting started. About The Opportunity: We're looking for a sharp, structured thinker to join our Growth team as a Product Manager. This role is purpose-built for someone who has built strong problem-solving and analytical foundations — whether through consulting, strategy, or early product work — and is ready to apply those skills to real product ownership in a fast-moving, high-stakes environment. You'll be embedded in one of the most important teams at Jerry, working on the funnels that directly drive how millions of users discover, evaluate, and purchase car insurance. You'll start by building deep context across our product and user experience, then take on increasing ownership — from scoped feature launches to larger growth initiatives — as you develop your product instincts and establish your impact. This role reports to the VP of Growth and collaborates closely with Engineering (including our China-based team), Design, Analytics, and Marketing — with direct visibility to senior leadership including the CEO. How You Will Make an Impact: You'll ramp up quickly by developing the sharpest possible understanding of our product: - Conduct structured product walkthroughs to map user journeys, identify friction points, and build a ground-level view of how our funnels perform - Own user feedback monitoring — synthesizing signals from reviews, support, and research into actionable insight - Drive bug triage and resolution in partnership with Engineering, ensuring quality issues are prioritized and closed efficiently From there, you'll take on real product ownership: - Lead end-to-end delivery of product initiatives — starting with well-scoped launches like landing pages and compliance-driven features, and expanding from there based on your trajectory - Partner with Design and Engineering to ship thoughtful, high-quality user experiences that balance speed, clarity, and trust - Contribute to A/B testing, funnel analysis, and experiment design — developing the experimental mindset that defines great growth PMs - Help translate ambiguous customer problems into clear hypotheses, requirements, and roadmap priorities - Coordinate with our China-based engineering team, including maintaining daily overlap during China business hours to ensure tight execution Who You Are: - Exceptionally structured thinker: you break down complex problems clearly and communicate with precision - Strong customer empathy: you think in user emotions and mental models, not just metrics - Developing product and UX instincts: you can articulate why a flow works or doesn’t and want to get better at it - Data-driven: you’re comfortable forming and pressure-testing hypotheses using quantitative analysis - Hungry to build: you’re excited to move from frameworks and recommendations to actually owning and shipping product - You thrive in ambiguity and move fast without losing rigor Ideal Experience: - 2–3 years of experience in management consulting (MBB or equivalent), product management, or product/business operations - Willing to flex working hours to maintain 3–4 hours of daily overlap with China business hours for engineering coordination - Chinese (Mandarin) language skills are a plus, but not required Why You’ll Love It - Join a profitable https://www.linkedin.com/posts/jerryinc_2024-jerry-recap-activity-7299815213564895232-5I0N/?rcm=ACoAABnx0O4BlXaBb3k2RRaUut0UGKm7s2MopfM&utm_medium=member_desktop&utm_source=share pre-IPO startup with capital, traction, and runway ($240M funded | 60X revenue growth in 5 years | $2T market size) - Work closely with brilliant leaders and teammates from companies like Amazon, Better, LinkedIn, McKinsey, BCG, Bain - Disrupt a massive market and take us to a $10B business in the next few years - Our growth is driven by forward-thinking technology: Jerry.ai is getting mentioned in many conversations about our use of GenAI, such as this Forbes article https://www.forbes.com/sites/johnsviokla/2024/11/20/ai-is-the-new-ui-3-steps-business-leaders-must-take-now/ - Be immersed in a talent-dense environment and greatly accelerate your career growth - Impact millions of users experience with car maintenance and auto insurance While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Product Manager, Growth at Jerry. ai. Skills: Product ownership, Growth initiatives, User experience. Develop product understanding. Conduct product walkthroughs", "createdAt" : "2026-06-16T00:31:18.517", "lastUpdated" : "2026-06-16T11:28:59.144", "ingestTimestamp" : "2026-06-16T00:31:18.517", "mongoId" : "6a305098f292fd229cef28e1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 140000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Funnel analysis", "Experiment design", "Product ownership", "Growth initiatives", "User experience", "Product strategy", "Roadmap development", "User story creation", "Analytical foundations", "Quantitative analysis", "Roadmap priorities", "Car ownership", "Auto insurance", "Car maintenance", "Car financing", "AI", "GenAI" ], "skillCount" : 17, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 610.2239, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305930f292fd229cf45a22", "title" : "Product Manager, Growth", "company" : "Jerry. ai", "industry" : "Product", "salary" : { "min" : 110000.0, "max" : 140000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Palo Alto, California", "locations" : [ "Palo Alto, California", "Chicago, Illinois", "Boston, Massachusetts", "Toronto, Ontario", "New York, New York", "Los Angeles, California", "Houston, Texas" ], "timestamp" : "2026-06-16T11:09:00.703", "fingerprint" : "94b09e36ca80291e05d9fae6ceb7609090e81ba5c1ead1e84a06f19bbdd5090a", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/b6728bf8-23dc-4e64-9715-19a43cdb0aa6/application", "externalId" : "b6728bf8-23dc-4e64-9715-19a43cdb0aa6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Product strategy", "Roadmap development", "User story creation", "Analytical foundations", "Quantitative analysis" ], "hardSkillsList" : [ "Funnel analysis", "Experiment design" ], "hardSkills" : [ { "name" : "Funnel analysis", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" } ], "majorSkills" : "Product ownership, Growth initiatives, User experience", "majorSkillsList" : [ "Product ownership", "Growth initiatives", "User experience" ], "coreResponsibilities" : "Develop product understanding, Conduct product walkthroughs, Map user journeys, Identify friction points, Monitor user feedback, Synthesize feedback signals, Drive bug triage, Drive bug resolution, Lead product initiative delivery, Ship user experiences, Contribute to A/B testing, Design experiments, Translate customer problems, Create hypotheses, Create requirements, Create roadmap priorities, Coordinate with China engineering team, Maintain daily overlap with China", "teamCollaboration" : "Engineering; Design; Analytics; Marketing; Senior leadership; CEO; China-based team", "projectManagementSkills" : [ "Roadmap priorities" ], "domainKnowledge" : "Car ownership; Auto insurance; Car maintenance; Car financing", "domainList" : [ "car-ownership", "auto-insurance", "car-maintenance", "car-financing" ], "domainSpecificKnowledge" : [ "Car ownership", "Auto insurance", "Car maintenance", "Car financing" ], "toolProficiency" : [ "AI", "GenAI" ], "communicationSkills" : "Communicate with precision", "continuousLearning" : "Accelerate career growth", "innovationCreativity" : "AI-powered app innovation", "problemSolvingSkills" : "Break down complex problems; Form hypotheses; Pressure-test hypotheses", "specialRequirements" : "Flex working hours", "outcomesObjectives" : "Simplify car ownership; Redefine car management; Drive user acquisition; Drive user evaluation; Drive user purchase; Achieve $10B business valuation", "qualificationsBasic" : "2-3 years consulting experience, 2-3 years product management experience, 2-3 years product operations experience, 3-4 hours daily overlap with China business hours", "qualificationsPreferred" : "Chinese (Mandarin) language skills", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About Jerry.ai http://Jerry.ai Jerry.ai is building America’s first and only AI-powered super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million users, and have helped millions find better auto insurance — and we’re just getting started. About The Opportunity: We're looking for a sharp, structured thinker to join our Growth team as a Product Manager. This role is purpose-built for someone who has built strong problem-solving and analytical foundations — whether through consulting, strategy, or early product work — and is ready to apply those skills to real product ownership in a fast-moving, high-stakes environment. You'll be embedded in one of the most important teams at Jerry, working on the funnels that directly drive how millions of users discover, evaluate, and purchase car insurance. You'll start by building deep context across our product and user experience, then take on increasing ownership — from scoped feature launches to larger growth initiatives — as you develop your product instincts and establish your impact. This role reports to the VP of Growth and collaborates closely with Engineering (including our China-based team), Design, Analytics, and Marketing — with direct visibility to senior leadership including the CEO. How You Will Make an Impact: You'll ramp up quickly by developing the sharpest possible understanding of our product: - Conduct structured product walkthroughs to map user journeys, identify friction points, and build a ground-level view of how our funnels perform - Own user feedback monitoring — synthesizing signals from reviews, support, and research into actionable insight - Drive bug triage and resolution in partnership with Engineering, ensuring quality issues are prioritized and closed efficiently From there, you'll take on real product ownership: - Lead end-to-end delivery of product initiatives — starting with well-scoped launches like landing pages and compliance-driven features, and expanding from there based on your trajectory - Partner with Design and Engineering to ship thoughtful, high-quality user experiences that balance speed, clarity, and trust - Contribute to A/B testing, funnel analysis, and experiment design — developing the experimental mindset that defines great growth PMs - Help translate ambiguous customer problems into clear hypotheses, requirements, and roadmap priorities - Coordinate with our China-based engineering team, including maintaining daily overlap during China business hours to ensure tight execution Who You Are: - Exceptionally structured thinker: you break down complex problems clearly and communicate with precision - Strong customer empathy: you think in user emotions and mental models, not just metrics - Developing product and UX instincts: you can articulate why a flow works or doesn’t and want to get better at it - Data-driven: you’re comfortable forming and pressure-testing hypotheses using quantitative analysis - Hungry to build: you’re excited to move from frameworks and recommendations to actually owning and shipping product - You thrive in ambiguity and move fast without losing rigor Ideal Experience: - 2–3 years of experience in management consulting (MBB or equivalent), product management, or product/business operations - Willing to flex working hours to maintain 3–4 hours of daily overlap with China business hours for engineering coordination - Chinese (Mandarin) language skills are a plus, but not required Why You’ll Love It - Join a profitable https://www.linkedin.com/posts/jerryinc_2024-jerry-recap-activity-7299815213564895232-5I0N/?rcm=ACoAABnx0O4BlXaBb3k2RRaUut0UGKm7s2MopfM&utm_medium=member_desktop&utm_source=share pre-IPO startup with capital, traction, and runway ($240M funded | 60X revenue growth in 5 years | $2T market size) - Work closely with brilliant leaders and teammates from companies like Amazon, Better, LinkedIn, McKinsey, BCG, Bain - Disrupt a massive market and take us to a $10B business in the next few years - Our growth is driven by forward-thinking technology: Jerry.ai is getting mentioned in many conversations about our use of GenAI, such as this Forbes article https://www.forbes.com/sites/johnsviokla/2024/11/20/ai-is-the-new-ui-3-steps-business-leaders-must-take-now/ - Be immersed in a talent-dense environment and greatly accelerate your career growth - Impact millions of users experience with car maintenance and auto insurance While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Product Manager, Growth at Jerry. ai. Skills: Product ownership, Growth initiatives, User experience. Develop product understanding. Conduct product walkthroughs", "createdAt" : "2026-06-16T00:29:50.412", "lastUpdated" : "2026-06-16T11:09:00.703", "ingestTimestamp" : "2026-06-16T00:29:50.412", "mongoId" : "6a305930f292fd229cf45a22", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 140000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Funnel analysis", "Experiment design", "Product ownership", "Growth initiatives", "User experience", "Product strategy", "Roadmap development", "User story creation", "Analytical foundations", "Quantitative analysis", "Roadmap priorities", "Car ownership", "Auto insurance", "Car maintenance", "Car financing", "AI", "GenAI" ], "skillCount" : 17, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 610.2239, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cd10e74d8ee00a0a31783", "title" : "Performance Test Engineer Lead", "company" : "Partner One Capital", "industry" : "Financial Services", "salary" : { "min" : 3500000.0, "max" : 6000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the FinTech industry in India, adjusted for a Lead seniority level and a remote work arrangement." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-15T11:42:09.104", "fingerprint" : "d8fddfc850dbe150493598f813d3e82d63ed424f88373ca90803bedbc727aa81", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/D2AC29C757/apply", "externalId" : "D2AC29C757", "industryFunction" : { }, "locationPoint" : "26.8206,30.8025", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Performance engineering, Scalability, Stability, Reliability, Responsiveness, Load testing, Stress testing, Endurance testing, Scalability testing, API architecture, Azure cloud, Kubernetes, AKS, CI/CD, Automated testing, PowerShell", "professionalSkills" : [ "System design", "Performance tuning", "Root cause analysis", "Production readiness", "System optimization", "High-availability deployments" ], "hardSkillsList" : [ "Performance testing", "Load testing", "Stress testing", "Endurance testing", "Scalability testing", "API testing", "Database testing", "Infrastructure testing", "Performance analysis", "Performance tuning", "CI/CD integration", "Automated testing", "Root cause analysis", "Performance reporting" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Performance testing", "level" : "intermediate" }, { "name" : "Load testing", "level" : "intermediate" }, { "name" : "Stress testing", "level" : "intermediate" }, { "name" : "Endurance testing", "level" : "intermediate" }, { "name" : "Scalability testing", "level" : "intermediate" }, { "name" : "API testing", "level" : "intermediate" }, { "name" : "Database testing", "level" : "intermediate" }, { "name" : "Infrastructure testing", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "CI/CD integration", "level" : "intermediate" }, { "name" : "Automated testing", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Performance reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Performance engineering, Cloud performance, API performance, Kubernetes performance", "majorSkillsList" : [ "Performance engineering", "Cloud performance", "API performance", "Kubernetes performance" ], "coreResponsibilities" : "Lead enterprise performance engineering efforts, Ensure system scalability, stability, reliability, responsiveness, Design performance testing strategies, Execute performance testing strategies, Identify performance bottlenecks, Analyze system performance metrics, Provide tuning recommendations, Validate system behavior, Collaborate with teams, Ensure production readiness, Monitor performance in Azure, Evaluate performance in AKS, Utilize monitoring tools, Develop performance test scripts, Maintain performance test scripts, Support CI/CD integration, Automate performance testing pipelines, Perform root cause analysis, Create performance reports, Present performance reports, Lead offshore team members, Mentor offshore team members, Coach offshore team members, Ensure adherence to best practices, Support production releases, Validate system scalability, Validate system readiness", "teamCollaboration" : "Architecture teams; DevOps teams; QA teams; Development teams; Offshore performance engineering team", "projectManagementSkills" : [ "CI/CD integration" ], "domainKnowledge" : "Distributed systems; API architecture; Azure cloud; Kubernetes (AKS); High-volume transactions; SaaS platforms", "domainList" : [ "distributed-systems", "api-architecture", "azure-cloud", "kubernetes-aks", "high-volume-transactions", "saas-platforms" ], "domainSpecificKnowledge" : [ "Distributed systems", "API architecture", "Azure cloud", "Kubernetes (AKS)", "High-volume transactions", "SaaS platforms" ], "toolProficiency" : [ "JMeter", "Akamai CloudTest", "Azure Load Testing", "Azure Application Insights", "Azure DB Metrics", "AKS Container Monitoring", "PowerShell" ], "communicationSkills" : "Performance reports; Dashboards; Recommendations", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "qualificationsBasic" : "Performance and scalability testing, Distributed systems and API architecture, Azure cloud and Kubernetes (AKS), Performance metrics analysis and tuning, CI/CD and automated performance pipelines, Troubleshooting and root cause analysis, Lead, coach and Mentor Performance Engineer staff offshore", "qualificationsPreferred" : "Mortgage or FinTech industry experience, Experience with enterprise SaaS platforms, High-volume transaction systems", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Leads enterprise performance engineering efforts to ensure system scalability, stability, reliability, and responsiveness across distributed cloud and hybrid environments. Responsible for designing and executing load, stress, endurance, and scalability testing strategies while identifying bottlenecks across applications, APIs, databases, and infrastructure. Works closely with Architecture, DevOps, QA, and Development teams to validate production readiness, optimize system performance, and support high-availability cloud deployments within Azure and AKS environments. ### **Job Responsibilities** * Lead enterprise performance engineering efforts to ensure scalability, stability, and reliability of systems across cloud and hybrid environments * Design, develop, and execute performance testing strategies including load, stress, spike, and endurance testing * Identify performance bottlenecks across applications, APIs, databases, and infrastructure components * Analyze system performance metrics and provide actionable tuning recommendations * Validate system behavior under high-traffic and high-volume transaction scenarios * Collaborate with Architecture, DevOps, QA, and Development teams to ensure production readiness * Monitor and evaluate performance in Azure cloud and AKS (Kubernetes) environments * Utilize monitoring and observability tools such as Azure Application Insights, Azure DB Metrics, and container monitoring solutions * Develop and maintain performance test scripts using tools like JMeter, Akamai CloudTest, and Azure Load Testing * Support CI/CD integration for automated performance testing pipelines * Perform root cause analysis for performance issues and production incidents * Create and present performance reports, dashboards, and recommendations to stakeholders * Lead, mentor, and coach offshore performance engineering team members * Ensure adherence to performance engineering best practices and standards across projects * Support production releases by validating system scalability and readiness **Requirements** **Key Skills** * Performance and scalability testing * Distributed systems and API architecture * Azure cloud and Kubernetes (AKS) * Performance metrics analysis and tuning * CI/CD and automated performance pipelines * Troubleshooting and root cause analysis * Lead , coach and Mentor Performance Engineer staff offshore **Primary Tools** * Apache JMeter * Akamai CloudTest * Azure Load Testing * Azure Application Insights * Azure DB Metrics * AKS Container Monitoring * PowerShell Monitoring Scripts **Nice to Have** * Mortgage or FinTech industry experience * Experience with enterprise SaaS platforms and high-volume transaction systems", "summaryDescription" : "Performance Test Engineer Lead at Partner One Capital. Skills: Performance engineering, Cloud performance, API performance, Kubernetes performance. Lead enterprise performance engineering efforts. Ensure system scalability, stability, reliability, responsiveness", "postedDate" : "2026-06-12T00:00:00.000", "createdAt" : "2026-06-14T04:29:33.858", "lastUpdated" : "2026-06-15T11:42:09.104", "ingestTimestamp" : "2026-06-14T04:29:33.858", "mongoId" : "6a2cd10e74d8ee00a0a31783", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/D2AC29C757", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Performance testing", "Load testing", "Stress testing", "Endurance testing", "Scalability testing", "API testing", "Database testing", "Infrastructure testing", "Performance analysis", "Performance tuning", "CI/CD integration", "Automated testing", "Root cause analysis", "Performance reporting", "Leadership", "Mentoring", "Performance engineering", "Cloud performance", "API performance", "Kubernetes performance", "System design", "Production readiness", "System optimization", "High-availability deployments", "Distributed systems", "API architecture", "Azure cloud", "Kubernetes (AKS)", "High-volume transactions", "SaaS platforms", "JMeter", "Akamai CloudTest", "Azure Load Testing", "Azure Application Insights", "Azure DB Metrics", "AKS Container Monitoring", "PowerShell" ], "skillCount" : 37, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "_score" : 608.7737, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a527274d8ee00a05fa60d", "title" : "Senior Engineer, AV Behavior Evaluation", "company" : "Motional", "industry" : "Autonomous Vehicles", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Engineer, AV Behavior Evaluation in Pittsburgh, United States, adjusted for seniority and industry." }, "location" : "Pittsburgh, Pennsylvania, United States", "locations" : [ "Pittsburgh", "Pennsylvania", "United States" ], "timestamp" : "2026-06-14T20:56:21.617", "fingerprint" : "d87a4b2fcefbcbbd053eb28cd15f95129fd757ddd1a2677943017cc6378ac0af", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://motional.com/open-positions/?gh_jid=7767449003#/7767449003", "externalId" : "7767449003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pittsburgh", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.4406968,-80.0025666" } ], "locationText" : "Pittsburgh, Pennsylvania, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Systems engineering", "Data driven assessment", "Behavioral competencies", "Performance evaluation", "Statistical methods", "Scenario-based testing", "Feature validation" ], "hardSkillsList" : [ "Data analysis", "Data visualization", "Statistical analysis" ], "softSkillsList" : [ "Interpersonal skills", "Communication skills" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Interpersonal skills" }, { "name" : "Communication skills" } ], "majorSkills" : "AV Behavior Evaluation, Data analysis, Simulation testing", "majorSkillsList" : [ "AV Behavior Evaluation", "Data analysis", "Simulation testing" ], "coreResponsibilities" : "Propose behavioral expectations on AV capabilities, Support standardization of metrics, Utilize existing metrics, Propose need for new metrics, Propose soft/hard targets for metrics, Analyze simulation results, Analyze resimulation results, Analyze public road testing results, Deliver strategic insights, Build meaningful visualizations, Build templates for team, Automate result analysis processes, Remove manual processes, Support development of test strategy, Support execution of test strategy, Support analyses of test strategy, Communicate test results, Facilitate resolving technical issues", "teamCollaboration" : "Build relationships with team; Build relationships cross-functionally; Build cohesive understanding", "projectManagementSkills" : [ "Agile systems engineering" ], "domainKnowledge" : "Autonomous Vehicle architecture; Perception subsystems; Planning subsystems; Prediction subsystems; Robotic systems; Autonomous vehicles; AV Behavior evaluation", "domainList" : [ "autonomous-vehicle-architecture", "perception-subsystems", "planning-subsystems", "prediction-subsystems", "robotic-systems", "autonomous-vehicles", "av-behavior-evaluation" ], "domainSpecificKnowledge" : [ "Autonomous Vehicle architecture", "Perception subsystems", "Planning subsystems", "Prediction subsystems", "Robotic systems", "Autonomous vehicles", "AV Behavior evaluation" ], "toolProficiency" : [ "SQL" ], "communicationSkills" : "Communicating complex concepts", "problemSolvingSkills" : "Data driven techniques; Diagnostic tools", "outcomesObjectives" : "Achieve ambitious goals; Scale system design processes; Scale evaluation processes", "qualificationsBasic" : "2 years of experience in Engineering, 2 years of experience in Computer Science, 2 years of experience in Data Science, Equivalent experience in relevant industry, Understanding of Autonomous Vehicle architecture, Understanding of key subsystems functions, Experience analyzing simulation data, Experience analyzing real world data, Fluency in SQL, Fluency in data visualization techniques, Experience building python based projects, Excellent interpersonal skills, Excellent communication skills", "qualificationsPreferred" : "Masters degree in relevant field, Experience using simulation tools, Experience evaluating Autonomous Driving Behavior, Familiarity with AV Behavior evaluation standards, Familiarity with AV Behavior best practices", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Mission Summary: The AV Behavior Design and Evaluation Team is responsible for owning the design and assessment of the AV behavior utilizing the concept of AV behavior competencies. The team relies on systematic decomposition of AV behavior along with data driven assessment utilizing data from on-road and simulation test modalities. We are responsible for building and operating robust, large-scale evaluation systems, alongside sophisticated simulation workflows and insightful diagnostic tools. By combining expert human judgment with advanced data driven techniques, we evaluate the system behavior performance. As the team is looking to scale to support more and more behavioral competencies, we are looking for passionate Engineers to help build a robust framework to leverage the best of agile systems engineering and data driven performance assessment to achieve our ambitious goals in scaling our system design and evaluation processes. We are looking to work with people who are driven to design robust systems and transform complex data into measurable progress toward a safer, smarter transportation future. This person will get to build relationships with the team as well cross-functional across organization to help build a cohesive understanding AV performance as applicable to the Behavioral Competencies. What you'll be doing: Propose behavioral expectations on AV capabilities Support standardization of metrics used in performance evaluation for AV Capabilities to ensure consistency Effectively utilize existing metrics and propose the need for new metrics to evaluate AV performance in large scale simulation testing Propose soft/hard targets for metrics using statistical methods and back them up with driving data Propose and implement ideas to analyze simulation, resimulation and public road testing results for stakeholders in Systems, Autonomy, Safety etc. Deliver strategic insights and recommendations on projects regarding scenario-based testing Build meaningful visualizations and templates for the team to utilize Focus on automating result analysis processes and gaps, removing manual processes where applicable Support the development, execution, and analyses of test strategy for features validation Communicate test results to development teams and management and facilitate resolving of technical issues What we're looking for: Bachelor's degree and 2 years of experience in Engineering, Computer Science, Data Science OR equivalent experience in in relevant industry Strong understanding of Autonomous Vehicle architecture and functions of key subsystems such as perception, planning, prediction etc. Experience with analyzing simulation and real world data for robotic systems, preferably autonomous vehicles Fluency in SQL or similar languages Fluency in data visualization techniques Experience in building python based projects for data analysis and insights Excellent interpersonal skills to build relationships with other teams Excellent communication skills; effective in communicating complex concepts and driving resolutions Self-starter who is motivated to set and achieve goals and takes initiative to drive ambiguous tasks/projects to completion Bonus Points (not required): Masters degree in relevant field Experience using simulation tools Experience in evaluating Autonomous Driving Behavior using large scale data Familiarity with AV Behavior evaluation standards and best practices We encourage a hybrid schedule with in-office time in Pittsburgh to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $149,000—$198,500 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.", "summaryDescription" : "Senior Engineer, AV Behavior Evaluation at Motional. Skills: AV Behavior Evaluation, Data analysis, Simulation testing. Propose behavioral expectations on AV capabilities. Support standardization of metrics", "postedDate" : "2026-06-11T17:36:50.204", "createdAt" : "2026-06-11T17:36:50.204", "lastUpdated" : "2026-06-14T20:56:21.617", "ingestTimestamp" : "2026-06-11T17:36:50.204", "mongoId" : "6a2a527274d8ee00a05fa60d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data visualization", "Statistical analysis", "Interpersonal skills", "Communication skills", "AV Behavior Evaluation", "Simulation testing", "Systems engineering", "Data driven assessment", "Behavioral competencies", "Performance evaluation", "Statistical methods", "Scenario-based testing", "Feature validation", "Agile systems engineering", "Autonomous Vehicle architecture", "Perception subsystems", "Planning subsystems", "Prediction subsystems", "Robotic systems", "Autonomous vehicles", "AV Behavior evaluation", "SQL" ], "skillCount" : 23, "jobCategory" : "other", "jobSubcategory" : "systems-readiness-&-performance", "dataQualityScore" : 0.8888889, "_score" : 608.67993, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Autonomous Vehicles" }, { "id" : "6a2a831c74d8ee00a0675509", "title" : "Trainee, Plumbing Safety Inspection", "company" : "Service Champions", "salary" : { "min" : 50000.0, "max" : 80000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Service Champions - Brea", "locations" : [ "Service Champions - Brea", "Service Champions - Murrieta" ], "timestamp" : "2026-06-14T21:58:44.701", "fingerprint" : "6e1a406b430e992e5656f929575ae7725869d71a865041d327183500d7f5f42f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/servicechampions/jobs/5254267008", "externalId" : "5254267008", "structuredLocations" : [ { "city" : "Brea", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9170444,-117.8888550" } ], "locationText" : "Brea, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "hardSkillsList" : [ "Plumbing services", "Plumbing repairs" ], "hardSkills" : [ { "name" : "Plumbing services", "level" : "intermediate" }, { "name" : "Plumbing repairs", "level" : "intermediate" } ], "majorSkills" : "Plumbing safety inspections, Sales skills, Product knowledge", "majorSkillsList" : [ "Plumbing safety inspections", "Sales skills", "Product knowledge" ], "coreResponsibilities" : "Perform plumbing safety inspections, Identify system concerns, Explain solutions to homeowners, Complete plumbing services, Complete plumbing repairs, Communicate findings, Maintain professionalism, Maintain safety, Maintain customer service, Participate in team meetings, Participate in ongoing training, Participate in skill development, Achieve performance goals, Achieve KPIs, Maintain organized company vehicle, Maintain well-stocked company vehicle", "teamCollaboration" : "Team meetings; Skill development", "domainKnowledge" : "Plumbing industry", "domainList" : [ "plumbing-industry" ], "domainSpecificKnowledge" : [ "Plumbing industry" ], "toolProficiency" : [ "Company vehicle" ], "communicationSkills" : "Written reports; Customer conversations", "continuousLearning" : "Ongoing training; Skill development", "problemSolvingSkills" : "Identify system concerns", "specialRequirements" : "Work in tight spaces, Work in elevated spaces, Work outdoors, Lifting 50-75 lbs, Navigate uneven terrain, Work in varied temperatures", "outcomesObjectives" : "Achieve performance goals; Achieve KPIs", "qualificationsBasic" : "High school diploma or GED, Clear communication skills, verbal and written, Valid driver's license, Mechanically Inclined, Self-motivation, Sense of responsibility", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you looking to kickstart your career in the plumbing industry? We are seeking enthusiastic and motivated individuals to join our team as Plumbing Safety Inspection Trainees. This is a fantastic opportunity to learn from experienced professionals, gain hands-on, experience, and build a rewarding career in a high-demand trade. Additionally, you will undergo comprehensive training to develop your sales skills and product knowledge. Training Start Date: August 3rd 2026 During training hourly - After training hourly + commission What You’ll Do Spend most of your day in the field—independent, trusted, and on the move Perform in-depth plumbing safety inspections (after training!) in and around customer homes Help identify system concerns and explain solutions to homeowners Complete Level 1–3 plumbing services and repairs once trained Communicate findings clearly through written reports and customer conversations Maintain a high level of professionalism, safety, and customer service Participate in team meetings, ongoing training, and skill development Collaborate with managers to achieve performance goals and KPIs Maintain an organized and well-stocked company vehicle What You Bring You don’t need plumbing experience — we’ll teach you everything. What matters most is: A positive attitude and eagerness to learn a skilled trade Strong communication and people skills Reliability, punctuality, and the ability to work independently Comfort working in different environments, including attics, crawl spaces, or outdoors Ability to stay organized, detail-oriented, and focused in a fast-paced field role A safety-first mindset and pride in quality work Physical & Work Environment This role keeps you active every day. You can expect: Walking/standing for long periods Working in tight or elevated spaces and outdoor conditions Lifting 50–75 lbs when needed Navigating uneven terrain and varied temperatures Qualifications No prior plumbing experience required High school diploma or GED Ability to learn technical concepts through hands-on and classroom training Clear communication skills, verbal and written Valid driver’s license Mechanically Inclined Self-motivation and a strong sense of responsibility Why You’ll Love Working With Us 10 weeks of paid, full-time training to launch your plumbing career Steady, rewarding work in a high-demand trade Independence and trust in the field A supportive team that wants you to grow Competitive pay with performance-based earning opportunities Clear pathways to advance in plumbing or other skilled trades Apply today! #CGTRN #SCC Pay Range $50,000—$80,000 USD About Service Champions: A career with Service Champions can change your life. Recognized as one of Orange County’s top places to work, many of our employees have shared that they love working here and the success it has brought them. You can be proud to be a part of Service Champions. We are a nationally recognized residential heating and air conditioning company that serves Southern California homeowners. Because our clients love our service and friendliness, we continue to grow at a rapid pace, which means terrific opportunities for people with a great attitude and a heart for service. We are an equal opportunity employer committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic outlined by federal, state, or local laws. Additionally, we will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the California Fair Chance Act and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. Privacy Policy", "summaryDescription" : "Trainee, Plumbing Safety Inspection at Service Champions. Skills: Plumbing safety inspections, Sales skills, Product knowledge. Perform plumbing safety inspections. Identify system concerns", "postedDate" : "2026-06-12T00:44:27.009", "createdAt" : "2026-06-12T00:44:27.009", "lastUpdated" : "2026-06-14T21:58:44.701", "ingestTimestamp" : "2026-06-12T00:44:27.009", "mongoId" : "6a2a831c74d8ee00a0675509", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 50000, "salaryAnnualMax" : 80000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Plumbing services", "Plumbing repairs", "Plumbing safety inspections", "Sales skills", "Product knowledge", "Plumbing industry", "Company vehicle" ], "skillCount" : 7, "jobCategory" : "other", "jobSubcategory" : "plumbing-training", "dataQualityScore" : 1.0, "_score" : 602.79034, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "68e3dee570f0b99d589c669f", "title" : "Applied Scientist (Machine Learning), ITA - Automated Performance Evaluation", "company" : "Amazon Development Centre (Scotland) Limited", "industry" : "Machine Learning Science, Applied Science, global corporate", "salary" : { "min" : 75000.0, "max" : 115000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Applied Scientist (Machine Learning) in Edinburgh, UK, adjusted for mid-seniority and the technology industry." }, "location" : "Edinburgh, Scotland, GBR", "locations" : [ "Edinburgh, Scotland, GBR" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T05:06:07.251", "fingerprint" : "b6954a55989b735d446c612c9ad3dbefe364be97c9cdcad317d856abcc760198", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3101617/apply", "externalId" : "b96e13d7-b2ad-4c3a-ae0e-92074d5c7153", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Edinburgh", "state" : "Scotland", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "55.9533456,-3.1883749" } ], "locationText" : "Edinburgh, Scotland, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "technicalSkills" : "Python, R, SQL, Spark, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Snowflake, BigQuery, Redshift, Databricks, Dbt, Airflow, Delta Lake, Tableau, Power BI, Looker", "professionalSkills" : [ "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "Modelling skills" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning", "Data modeling", "Data pipeline development", "Algorithm development", "Performance evaluation" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Performance evaluation", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Data Science, Automated Performance Evaluation", "majorSkillsList" : [ "Machine Learning", "Data Science", "Automated Performance Evaluation" ], "coreResponsibilities" : "Develop and implement machine learning models, Design and execute experiments for performance evaluation, Analyze large datasets to identify trends and insights, Build and maintain data pipelines, Collaborate with engineering teams to deploy models, Communicate findings to stakeholders, Stay up-to-date with the latest research in ML/AI", "teamCollaboration" : "Cross-functional teams; Engineering teams; Stakeholders", "domainKnowledge" : "Automated performance evaluation; Machine learning frameworks; Cloud data stacks; Statistical modelling", "domainList" : [ "automated-performance-evaluation", "machine-learning-frameworks", "cloud-data-stacks", "statistical-modelling" ], "domainSpecificKnowledge" : [ "Automated performance evaluation", "Machine learning frameworks", "Cloud data stacks", "Statistical modelling" ], "toolProficiency" : [ "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Delta Lake", "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Present findings", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "Master's degree, 5+ years of experience in data science or related field, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "PhD preferred, Experience with ML frameworks, Cloud platform certifications", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You’ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems. Key job responsibilities As an Applied Scientist, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create technical roadmaps and drive production level projects that will support Amazon Science. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon’s customer focused culture. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. About the team The Automated Performance Evaluation (APE) team is a hybrid team of Applied Scientists and Software Development Engineers who develop, deploy and own end-to-end machine learning services for use in the HR and Recruiting functions at Amazon. Basic Qualifications: - Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field - Experience programming in Java, C++, Python or related language Preferred Qualifications: - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Applied Scientist (Machine Learning), ITA - Automated Performance Evaluation at Amazon Development Centre (Scotland) Limited. Skills: Machine Learning, Data Science, Automated Performance Evaluation. Develop and implement machine learning models. Design and execute experiments for performance evaluation", "postedDate" : "2026-06-14T17:34:53.471", "createdAt" : "2026-06-14T17:34:53.471", "lastUpdated" : "2026-06-16T05:06:07.251", "ingestTimestamp" : "2026-06-14T17:34:53.471", "mongoId" : "68e3dee570f0b99d589c669f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3101617/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Machine learning", "Data modeling", "Data pipeline development", "Algorithm development", "Performance evaluation", "Machine Learning", "Data Science", "Automated Performance Evaluation", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "Modelling skills", "Automated performance evaluation", "Machine learning frameworks", "Cloud data stacks", "Statistical modelling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Delta Lake", "Tableau", "Power BI", "Looker" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 594.92017, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb09674d8ee00a09da6bb", "title" : "Satellite Quality and Test Technician", "company" : "Lynk Global", "industry" : "Engineering", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior Satellite Quality and Test Technician in Chantilly, United States, with 2+ years of experience, adjusted for industry and company size." }, "location" : "Lynk US Headquarters", "locations" : [ "Lynk US Headquarters", "Chantilly, VA" ], "timestamp" : "2026-06-15T09:44:34.693", "fingerprint" : "962468a53c71f098c00cfc126dba031058da5366995a0e79a8562c23267c099e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lynk/7d9ccf57-6a66-424b-a23d-94d8b9e48a66/application", "externalId" : "7d9ccf57-6a66-424b-a23d-94d8b9e48a66", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chantilly", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8852190,-77.4486772" } ], "locationText" : "Chantilly, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 2, "technicalSkills" : "RF testing, Spectrum analyzers, Network analyzers, Oscilloscopes", "professionalSkills" : [ "Quality specifications review", "Technical design review", "Test plan execution" ], "hardSkillsList" : [ "Component testing", "Subsystem testing", "Environmental testing", "Mechanical QA", "Electrical QA", "Wiring harness construction", "Mechanical support construction", "Tool maintenance", "Equipment maintenance" ], "hardSkills" : [ { "name" : "Component testing", "level" : "intermediate" }, { "name" : "Subsystem testing", "level" : "intermediate" }, { "name" : "Environmental testing", "level" : "intermediate" }, { "name" : "Mechanical QA", "level" : "intermediate" }, { "name" : "Electrical QA", "level" : "intermediate" }, { "name" : "Wiring harness construction", "level" : "intermediate" }, { "name" : "Mechanical support construction", "level" : "intermediate" }, { "name" : "Tool maintenance", "level" : "intermediate" }, { "name" : "Equipment maintenance", "level" : "intermediate" } ], "majorSkills" : "Quality assurance, Test technician, Satellite systems", "majorSkillsList" : [ "Quality assurance", "Test technician", "Satellite systems" ], "coreResponsibilities" : "Perform testing and inspections, Perform component level testing, Perform subsystem and flight testing, Perform environmental testing, Perform mechanical QA inspections, Perform electrical QA inspections, Construct wiring harnesses, Construct mechanical support equipment, Identify electrical modifications, Identify mechanical modifications, Propose rework, Review quality specifications, Review technical design documents, Provide feedback, Review test plans, Execute test plans, Maintain test equipment, Maintain certifications on tools", "domainKnowledge" : "Satellite systems; Spacecraft hardware", "domainList" : [ "satellite-systems", "spacecraft-hardware" ], "domainSpecificKnowledge" : [ "Satellite systems", "Spacecraft hardware" ], "toolProficiency" : [ "3D printers", "Machine tools", "Torque wrenches", "Precision tools" ], "specialRequirements" : "ITAR requirements", "qualificationsBasic" : "2+ years experience, Ability to use standard electronic assembly tools, Ability to perform soldering, Ability to use standard fabrication equipment, Ability to use standard electronic and environmental test equipment", "qualificationsPreferred" : "High school diploma or equivalent experience, Technical Associate degree equivalent", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Lynk Global Lynk is the inventor of satellite direct to device or D2D technology, and has the world’s only commercial license from the FCC to operate a commercial D2D system. Today, Lynk allows mobile network operators' subscribers to send and receive text messages to and from space via standard unmodified, mobile devices. Lynk’s service has been tested and proven on all seven continents, has regulatory approvals in more than 30 countries and is currently being deployed commercially based on more than 40 MNO commercial service contracts covering approximately 50 countries. Our technology will enable all 8 billion people on the planet to stay connected with the existing standard phone in their pocket. Everywhere. No matter what. By joining Lynk, you will have the opportunity to directly touch the lives of billions. Your mission will be to bring mobile broadband to billions, pull hundreds of millions out of poverty, and save countless lives. Core Responsibilities The Satellite Quality & Test Technician will perform testing and inspections on ground and flight systems, subsystems, and components in a rapid pace development environment where documentation and guidance may be limited. This includes: - Component level testing to include electrical power and baseline performance, mechanical fit checks and helicoil inspections, and RF testing. - Subsystem and flight testing, including RF performance, signal loss, power, and performance. - Environmental testing including component and subsystem level vibration, thermal, vacuum. - Mechanical QA inspections using schematics, drawings, and oral instructions. - Electrical QA inspections using schematics, drawings, and oral instructions. - Constructing wiring harnesses and other support equipment to aid test campaigns. - Constructing mechanical support equipment and fixtures to aid test campaigns. - Identifying and proposing electrical or mechanical modifications, rework. - Reviewing quality specifications and technical design documents to provide timely and meaningful feedback. - Review and execute detailed test plans. - Maintain test equipment such as spectrum analyzers, network analyzers, and oscilloscopes. - Maintain and keep certifications on tools and equipment such as, torque wrenches, precision tools, etc. Qualifications - High school diploma, or equivalent experience/combined education; specialized technical training equivalent to a technical Associate degree is preferred. - 2+ years of experience performing assigned related technical tasks or similar. - Ability to use standard electronic assembly tools and materials. - Ability to perform soldering to standards required for spacecraft flight hardware. - Ability to use standard fabrication equipment such as 3D printers and machine tools. - Ability to use standard electronic and environmental test equipment. ITAR REQUIREMENTS To comply with U.S. Government export control regulations (ITAR), applicants must be one of the following: (i) a U.S. citizen or national, (ii) a lawful permanent resident (green card holder), (iii) a refugee under 8 U.S.C. § 1157, or (iv) an asylee under 8 U.S.C. § 1158. Individuals who do not meet these criteria must be eligible to obtain the necessary authorizations from the U.S. Department of State. For more information, please refer to the ITAR guidelines. Learn about ITAR here. https://www.pmddtc.state.gov/ddtc_public?id=ddtc_kb_article_page&sys_id=24d528fddbfc930044f9ff621f961987 LOCATION: Chantilly, VA", "summaryDescription" : "Satellite Quality and Test Technician at Lynk Global. Skills: Quality assurance, Test technician, Satellite systems. Perform testing and inspections. Perform component level testing", "createdAt" : "2026-06-14T04:17:11.304", "lastUpdated" : "2026-06-15T09:44:34.693", "ingestTimestamp" : "2026-06-14T04:17:11.304", "mongoId" : "6a2cb09674d8ee00a09da6bb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Component testing", "Subsystem testing", "Environmental testing", "Mechanical QA", "Electrical QA", "Wiring harness construction", "Mechanical support construction", "Tool maintenance", "Equipment maintenance", "Quality assurance", "Test technician", "Satellite systems", "Quality specifications review", "Technical design review", "Test plan execution", "Spacecraft hardware", "3D printers", "Machine tools", "Torque wrenches", "Precision tools" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 591.4575, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3055e9f292fd229cf22e59", "title" : "External Evaluator", "company" : "External Evaluator", "industry" : "Consulting", "salary" : { "min" : 720000.0, "max" : 1200000.0, "currency" : "ETB", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior External Evaluator in Addis Ababa, Ethiopia, adjusted for the non-profit industry." }, "location" : "Addis Ababa, Ethiopia", "locations" : [ "Addis Ababa, Ethiopia" ], "timestamp" : "2026-06-16T12:07:39.667", "fingerprint" : "2bbc11be14cedfac508ae96fe34cef0fafa23de53c546e6972e32bf7dad48aa4", "source" : "workday", "language" : "en", "applyUrl" : "https://unhcr.wd3.myworkdayjobs.com/External/job/Addis-Ababa-Ethiopia/External-Evaluator---International-Consultancy_JR2667315-2", "externalId" : "JR2667315", "industryFunction" : { }, "locationPoint" : "9.02497,38.74689", "structuredLocations" : [ { "city" : "Addis Ababa", "country" : "Ethiopia", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "9.0358119,38.7524315" } ], "locationText" : "Addis Ababa, Ethiopia", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Livelihoods evaluation", "Economic inclusion review", "Protection review", "Data collection methods", "Data analysis methods" ], "hardSkillsList" : [ "Outcome mapping", "Survey design" ], "hardSkills" : [ { "name" : "Outcome mapping", "level" : "intermediate" }, { "name" : "Survey design", "level" : "intermediate" } ], "majorSkills" : "Livelihoods, Economic inclusion, Protection review", "majorSkillsList" : [ "Livelihoods", "Economic inclusion", "Protection review" ], "coreResponsibilities" : "Assess project achievements and performance, Identify lessons learned, Provide actionable recommendations, Inform future programming, Inform potential scale-up or replication, Focus on implementation quality, Focus on early results", "teamCollaboration" : "Work with project team; Share findings with donor; Disseminate findings among partners", "domainKnowledge" : "Refugee livelihoods; GBV programming; UNHCR mandate; UNHCR operations; UNHCR approach; Livelihoods and protection; Ethiopia context; Refugee context; Digital refugee identity cards; National ID (Fayda) numbers; Legal documentation access; Financial services access; Economic opportunities access; Gender equality promotion; GBV prevention; GBV response", "domainList" : [ "refugee-livelihoods", "gbv-programming", "unhcr-mandate", "unhcr-operations", "unhcr-approach", "livelihoods-and-protection", "ethiopia-context", "refugee-context", "digital-refugee-identity-cards", "national-id-fayda-numbers", "legal-documentation-access", "financial-services-access", "economic-opportunities-access", "gender-equality-promotion", "gbv-prevention", "gbv-response" ], "domainSpecificKnowledge" : [ "Refugee livelihoods", "GBV programming", "UNHCR mandate", "UNHCR operations", "UNHCR approach", "Livelihoods and protection", "Ethiopia context", "Refugee context", "Digital refugee identity cards", "National ID (Fayda) numbers", "Legal documentation access", "Financial services access", "Economic opportunities access", "Gender equality promotion", "GBV prevention", "GBV response" ], "problemSolvingSkills" : "Conduct complex analyses", "qualificationsBasic" : "Advanced degree in development studies, social sciences, economics, or related, Bachelor's degree with at least 10 years of relevant experience, Minimum 5 years in evaluating or reviewing humanitarian or development projects, Excellent English and good French (written and spoken)", "qualificationsPreferred" : "Previous experience in Ethiopia is an asset", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "**Deadline for Applications** June 28, 2026 **Hardship Level (not applicable for home-based)** B **Family Type (not applicable for home-based)** Family **Staff Member / Affiliate Type** CONS International **Target Start Date** 2026-07-01 **Terms of Reference** 1\\. Introduction This external review will assess the project’s achievements and performance against planned targets, identify lessons learned, and provide actionable recommendations to inform future programming and potential scale-up or replication. It will focus on implementation quality and early results, not long-term impact. 2\\. Purpose of the Review and its Context Background and Context The project “Support to Livelihoods and Economic Inclusion of Eritrean Refugees in the Afar Region and Addis Ababa Urban Area” was launched in September 2024 with the objective of strengthening the self‑reliance and economic inclusion of Eritrean refugees and host communities in the Afar Region and Addis Ababa. The project targets approximately 51,000 direct and indirect beneficiaries and focuses on expanding access to sustainable livelihoods and protection‑sensitive economic opportunities for refugees and host communities. Key interventions under the project include: (i) expanding access to wage and self‑employment opportunities; (ii) promoting gender equality and strengthening gender‑based violence (GBV) prevention and response mechanisms; and (iii) supporting the issuance of digital refugee identity cards with embedded national ID (Fayda) numbers, thereby facilitating refugees’ access to legal documentation, financial services, and broader economic opportunities. This external review will cover the implementation period from September 2024 to December 2025. The Terms of Reference (ToR) outline the objectives, scope, and methodology of the review, which will guide the review process and ensure transparency regarding its purpose and expected outputs. The findings of the review will be shared with the donor, the State Secretariat for Migration (SEM), Switzerland, and disseminated among relevant partners engaged in supporting refugees and host communities in Ethiopia. UNHCR Ethiopia is therefore seeking qualified individual consultant with demonstrated expertise in livelihoods, economic inclusion and protection review or evaluation to undertake this external review in accordance with the ToR. Ethiopia context With a population of approximately 126.5 million, Ethiopia has made significant progress in reducing poverty, with the proportion of people living below the national poverty line falling from 30 per cent in 2011 to 24 per cent in 2016. However, these gains are undermined by rising inequality, recurrent conflicts, and environmental pressures that slow progress and threaten stability. Livelihoods are determined by agro-ecological diversity: 80 per cent of Ethiopians live in the humid highlands, which rely heavily on rain-fed agriculture, while the arid lowlands are home to pastoral communities. Climate change is intensifying vulnerabilities, with droughts and floods becoming more frequent and severe. Agriculture, the backbone of the Ethiopian economy, is under pressure from recurrent droughts, soil erosion, land degradation and deforestation. Rapid population growth puts additional pressure on fragile ecosystems, increasing risks to both food security and biodiversity. Refugees in Ethiopia Ethiopia hosts more than one million refugees and asylum seekers (approximately 1,115,839), making it the second-largest refugee‑hosting country in Africa. Refugees come mainly from South Sudan (43%), Somalia (32%), Eritrea (15%) and Sudan (9%), and reside in 20 camps and rural settlements near border areas. Although relations with host communities are generally peaceful, refugees face significant challenges. Around 80 per cent live in camps with limited economic opportunities, heavily dependent on humanitarian aid, informal trade, and subsistence support. Access to employment, education, and essential services remains restricted. The situation for refugees is further complicated by Ethiopia's own humanitarian and development challenges. Internal conflicts in Tigray, Oromia, Amhara, and Gambella have displaced some 3.4 million people. Ethnic tensions, rising youth unemployment and economic decline, including persistent inflation, add to the strain. The effects of climate change exacerbate these pressures, creating overlapping humanitarian and development needs. Policies and commitments Ethiopia has demonstrated a strong commitment to refugee protection and inclusion through progressive policies and international frameworks, including: • The 2019 Refugee Proclamation, which guarantees refugees access to education, health, employment, business and financial services. • The extension of policy outside camps, the issuance of identity documents, and access to work permits and financial services. • The commitments of the Global Compact on Refugees (2018) to promote self-sufficiency, integration, and access to national systems. The commitments made at the Global Refugee Forum (2023), including those related to climate resilience, sustainable energy, transforming camps into settlements, strengthening GBV prevention, and integrating refugees into national systems. Despite these measures, practical obstacles remain. Refugees face complex procedures to access work permits or register businesses, hampered by multiple agencies, inconsistent regulations and unclear implementation guidelines. Harmonising laws, simplifying administrative requirements and drafting enabling regulations are essential to unlocking the economic potential of refugees. Makatet Roadmap: a platform for implementation The Makatet Roadmap offers a timely and strategic opportunity to implement Ethiopia's commitments on refugee inclusion. It represents a multisectoral approach that links livelihoods, education, health, climate adaptation and protection interventions, while ensuring meaningful benefits for host communities. The roadmap provides a structured platform for coordinating the actions of the government, UNHCR and partners, translating political commitments into concrete and measurable outcomes and. It aligns closely with the country's development priorities and the Global Compact on Refugees, reinforcing efforts to improve the self-reliance, social integration, and resilience of refugees. In conclusion, Ethiopia's long tradition of hosting refugees is commendable, but the scale and complexity of the current challenges require stronger and more coordinated action. Progress towards sustainable solutions must address the root causes of poverty, conflict, and environmental degradation, while prioritizing the rights and needs of vulnerable groups, including refugees and host communities. This assessment will provide critical evidence on what has worked and where gaps remain in improving refugees' self-reliance and resilience. Its findings will help shape future programming, strengthen accountability to donors and stakeholders, and guide strategies to more fully integrate refugees into Ethiopia's social, economic and environmental systems, using the Market Roadmap as a guiding framework. 2.1 UNHCR response UNHCR's commitment to promoting the livelihoods and economic inclusion of refugees is central to providing forcibly displaced populations with access to employment and self-reliance opportunities essential to rebuilding their lives disrupted by conflict or persecution. In Ethiopia, UNHCR has developed a Multi-Year Strategy for Livelihoods and Economic Inclusion (2020-2024), which serves as a blueprint for its livelihood programmes. The strategy's objectives are ambitious, aiming to increase the self-reliance of refugees and host communities by creating viable economic opportunities. This involves promoting policies that enable refugees to work, increasing access to employment, engaging development partners and the private sector in job creation, and improving the capacity of government entities and stakeholders to support the economic inclusion of refugees. These efforts are aligned with broader regional strategies for the East Africa and Horn of Africa and Great Lakes regions, which seek to address significant socio-economic challenges and improve the livelihoods of people affected by displacement. In collaboration with a broad network of stakeholders, including national and local governments (Refugees and Returnees Services (RRS), relevant ministries, regional offices), bilateral donors and governments (European Union-International Associations, BMZ and KfW, the Kingdom of the Netherlands, FCDO), international financial institutions (WB, IFC, AfDB) and international and local partners, UNHCR aims to improve the livelihoods of refugees. This includes improving skills, financial inclusion, and resilience to climate change, while promoting policy reforms. Despite these ongoing efforts, there is a constant drive to further strengthen livelihood programmes and expand their reach. By adopting a market-based approach and deepening cross-sector partnerships, UNHCR strives to strengthen the resilience and economic integration of refugees, ensuring they have the tools and support they need to build a sustainable future. 2.2 Subject of the Review of the Program and Background The United Nations High Commissioner for Refugees (UNHCR), with funding CHF 1,200,000 from the State Secretariat for Migration (SEM) of Switzerland, is implementing a 16-month project titled “Support to Livelihood and Economic Inclusion of Eritrean Refugees in the Afar Region and Addis Ababa Urban Area.” The project seeks to strengthen self-reliance and economic inclusion of Eritrean refugees and host communities by: • Expanding access to wage and self-employment opportunities. • Enhancing gender equality and GBV prevention and response; and • Supporting the issuance of digital refugee ID cards with embedded national ID (Fayda) numbers to facilitate access to legal and economic opportunities. Targeting 51,000 direct and indirect beneficiaries, including 1,000 working-age individuals, 15,000 participants in GBV prevention and gender equality initiatives, and 35,000 recipients of digital refugee ID cards, the project operates in Aysaita and Barahle refugee camps (Afar Region) and the Addis Ababa urban area. The implementation of the project is coordinated by UNHCR, in collaboration with its government counterpart, RRS, and mainly delivered through NGO implementing partners. 3 Purpose, Objectives and Scope of the Review 3.1 Purpose The review will assess relevance, coherence, effectiveness, efficiency, progress toward outcomes, and sustainability using adapted OECD-DAC criteria. It will not assess long-term impact but will focus on implementation quality and early results. Findings will inform future programming and scale-up. Given the project duration and recent completion, the review will not assess long term impact but will focus on implementation quality, early results, and progress towards impact. 3.2 Specific Objectives: 1\\. Assess the relevance of the project design in relation to the needs of Eritrean refugees, host communities, and Ethiopian government policies and donor priorities. 2\\. Review the effectiveness of project implementation and progress toward planned outputs and outcomes. 3\\. Analyze the efficiency of resource utilization and management, including partnership arrangements. 4\\. Assess the coherence and complementarity of this intervention with other donor-funded and government programmes (e.g. PROSPECTS, DRDIP II, World Bank, PRM, Netherlands). 5\\. Analyze progress towards impact in terms of refugee self-reliance, economic inclusion, gender equality, and protection. 6\\. Examine progress towards the sustainability of outcomes beyond SEM funding, including institutional, policy, and community‑level ownership. 7\\. Identify lessons learned and actionable recommendations for future programming, scale up, or replication. 3.3 Scope of the External Review • Geographical Coverage: Afar Region (Aysaita and Barahle refugee camps) and Addis Ababa urban area. • Timeframe Covered: Full implementation period of the project is from 01 September 2024 to 31 December 2025. • Thematic Focus Areas: • Livelihood and economic inclusion (vocational skills, business support, public–private dialogue). • Gender equality and GBV prevention and response. • Refugee registration and digital documentation (Fayda integration). • Coordination, partnerships, and monitoring mechanisms. 4.External Review Criteria and Key Questions The external review will draw on the OECD DAC evaluation criteria in an adapted manner, appropriate to the scope of a learning‑oriented review. The review will seek to answer the following guiding questions: Criterion Key Review Questions Relevance To what extent did the project respond to the needs and priorities of refugees and host communities? How consistent are the interventions with Ethiopia’s refugee policies (2019 Proclamation, GRF pledges) and SEM migration priorities? Coherence How did the project complement and align with other interventions by UNHCR, donors, and national authorities? What synergies or overlaps exist with related programmes? Effectiveness To what extent were the intended outputs and outcomes achieved? What factors facilitated or hindered results (e.g. security, policy environment, partnerships)? Efficiency Were resources (financial, human, technical) used in a timely and in accordance with agreed standards? Were implementation and reporting mechanisms proportionate and timely? Progress Towards Impact What early or emerging changes can be observed in relation to refugee livelihoods, economic inclusion, and protection outcomes? Were there any notable unintended positive or negative effects resulting from the project’s interventions? Progress Towards Sustainability To what extent are the benefits of the project likely to continue beyond the project period and SEM funding? What elements (e.g. capacities, partnerships, systems, policy linkages) contribute to or limit the sustainability of project outcomes? 5\\. Approach and Methodology The review will use a mixed-methods approach combining desk review, key informant interviews, focus group discussions, and quantitative surveys where feasible, with purposive and stratified sampling to ensure AGD representation. Analysis will combine quantitative and qualitative techniques, with triangulation across sources. Validation steps include stakeholders and peer review. Detailed methodology, tools, and ethical safeguards will be finalized in the Inception Report. Methods are expected to include: • Employ a combination of interviews, focus group discussions (with refugees and host community members (with age, gender, and diversity considerations), and other appropriate qualitative and quantitative tools. • Desk review of project and monitoring documents • Use a balanced mix of quantitative and qualitative instruments, complemented by a participatory approach that incorporates the perspectives of key stakeholders, including refugees, host community members, local authorities, implementing partners (EECMY, JRS, DICAC), and private-sector actors. • Conduct field visits to Afar (Aysaita and Barahle) and Addis Ababa The consultant is expected to adequately utilise triangulation in the review design, data collection methods, analysis and presentation of findings, utilizing findings emerging across different data sources The above are the minimum expectations; the consultant will prepare an Inception Report detailing the final agreed-upon and approved methodology, data collection tools, review matrix and ethical safeguards. Data and Information Sources The external review should reflect an age, gender and diversity (AGD) perspective in all primary data collection activities carried out as part of the assessment (including focus group discussions with women, young people and disadvantaged individuals and groups), as well as in the data analysis and reporting phase as provided for in UNHCR’s age, gender and diversity policy. While this is a review and not an evaluation, the consultant is expected to utilise to the most extent possible the following policy and guidance documents in conducting the review: • To the extent possible, consult and use internationally agreed evaluation criteria, such as those proposed by the OECD DAC and adapted by ALNAP for use in humanitarian situations, as well as UNHCR evaluation policy and standards. • Consult and use relevant sectoral standards and specific analytical frameworks and other related frameworks, including the UNEG Ethical Guidelines for Evaluation and the UNEG Guidance on Integrating Human Rights and Gender Equality in Evaluations • Collect and utilise a wide range of data sources (e.g. mission reports, coordination group meetings, strategy descriptions) to demonstrate the impartiality of the analysis; minimise bias and ensure the credibility of the review findings and conclusions. • Follow UNHCR's data protection policy, including data storage and access, as well as consent and confidentiality. Ensure that protocols for conducting interviews with identified individuals are ethical and well-developed before conducting interviews. 6\\. Key Actors in the External Review The external review will engage a broad range of internal and external stakeholders who are directly or indirectly involved in, or affected by, the project “Support to Livelihood and Economic Inclusion of Eritrean Refugees in the Afar Region and Addis Ababa Urban Area.” The engagement of these actors will ensure that the review is participatory, balanced, and grounded in operational realities, while remaining independent and impartial. The review will also benefit implementing partners, government counterparts, and donors by informing policy dialogue, strategic planning, multi-year programming, and collective advocacy efforts in Ethiopia. 6.1. Primary Actors Beneficiary Population Refugees and host community members targeted by the project are central actors in the external review. Their perspectives will be captured through interviews, focus group discussions, and other participatory methods, ensuring representation across age, gender, and diversity groups. Their feedback will be critical in assessing the relevance, effectiveness, and sustainability of livelihood support, gender empowerment initiatives, and registration and documentation activities, and in informing future donor investment decisions. Government Counterparts Relevant government institutions at federal, regional, and local levels will be engaged, including: • Refugees and Returnees Service (RRS) • Relevant regional and woreda-level authorities in Afar Region and Addis Ababa • Technical line ministries and services related to livelihoods, labour, skills development, and registration These actors have been involved in implementation and coordination and have a strong interest in ensuring that project interventions align with national policies, refugee inclusion priorities, and development plans. Implementing and Operational Partners UNHCR implements this project in partnership with national and international NGOs, including: • Ethiopian Evangelical Church Mekane Yesus (EECMY) – Afar Region • Jesuit Refugee Service (JRS) – Addis Ababa • Development and Inter-Church Aid Commission (DICAC) – GBV prevention and response The external review will examine partnership arrangements, coordination mechanisms, and implementation modalities, with a view to strengthening effectiveness, accountability, and learning. 6.2 Secondary Actors UNHCR Ethiopia Country Operation The UNHCR Representation in Ethiopia is responsible for overall project management and for commissioning and facilitating the external review. UNHCR Ethiopia is the user of the review findings, which will inform operational learning, decision-making, and future programme design. UNHCR will facilitate access to documentation, stakeholders, and field locations, while maintaining the review’s independence. UNHCR Regional and Headquarters Levels UNHCR’s Regional Bureau and relevant Headquarters Divisions (including technical and policy units) may participate as secondary actors. Their engagement could support reflection on the project’s: • Strategic coherence and alignment with UNHCR global policies and frameworks. • Complementarity with regional and global initiatives. • Transferability of lessons learned to other operations. Their inputs will enrich the analysis without influencing the independent judgment of the reviewer. Donor - State Secretariat for Migration (SEM), Switzerland As the project donor, SEM is a key stakeholder in the external review. SEM has a strong interest in assessing whether the project has: • Achieved its intended objectives and outcomes. • Used resources efficiently and in accordance with agreed standards. • Generated sustainable results aligned with Swiss migration and international cooperation priorities. SEM will review the Terms of Reference and receive the final review report but will not be involved in the conduct of the review. Other UN Agencies and Organizations Other United Nations agencies, development actors, and organizations operating in the areas of livelihoods, protection, GBV prevention, and refugee inclusion may be consulted, as relevant. Their engagement will help assess coherence, complementarity, and coordination with broader humanitarian–development efforts in Ethiopia. 7\\. Management of the External Review The external review will be managed by a designated UNHCR staff member (External Review Manager) in Ethiopia, with remote support from the Senior Regional Evaluation Officer at UNHCR's Regional Office for East and Southern Africa, who will provide technical guidance. The External Review Manager will supervise the external review process and act as the main point of reference within UNHCR. The Eternal Review Manager will provide the consultant(s) with access to relevant data sources, facilitate contact and access to key actors, oversee the dissemination of information and results within UNHCR and to other participating parties. 8\\. Risks Potential risks include data collection challenges, and GBV safeguarding concerns. Mitigation measures include flexible scheduling, remote interviews if needed, and strict adherence to ethical protocols. 9\\. Deliverables and Indicative Timeline Activity Deliverables Indicative timeline Inception phase includes: (i) Initial desk review and key informant interviews. (ii) Discussion on broad framework/approach (iii) Draft Inception report circulated (iv) Incorporation of comments on the inception report and production of a final report. 1\\. Draft and final inception report, including the methodology, data collection tools (survey questionnaires, FGD and KII guides), and review matrix. June 2026 14 working days Fieldwork: Data collection and cleaning conducted. 1) Primary data collection and cleaning finalised. 2) A debrief on data collection conducted with the UNHCR CO office team, UNHCR Field and/or Sub-Offices. June 2026 14 working days Analysis and Report writing phase. 1) Presentation of key findings and recommendations to UNHCR, SEM, and partners. 2) Draft report 1 (for circulation and comments internally), including internal presentation of preliminary findings, conclusions, and preliminary recommendations to UNHCR Ethiopia. 3) Draft report 2, which addresses UNHCR internal comments, is submitted for circulation to external stakeholders. July 2026 21 working days Revision of Draft Report 2 and integration of external feedback Draft report 3 addressing external stakeholders' comments is submitted by the consultant. July 2026 7 working days Finalisation of the External Review Report (not more than 30 pages – excluding Annexes) and an Executive Summary (3- 5 pages long) Final version incorporating feedback; structured per SEM reporting checklist, including executive summary and annexes including dissemination materials. June-July 2026 15 working days External Review Action Plan Prepared by UNHCR to address needed actions proposed by the External Review. June-July 2026 10\\. Profile and Qualifications of the External Reviewer The external review will be conducted by an independent consultant selected through a competitive process by UNHCR Ethiopia in cooperation with the UNHCR Evaluation Office. Guided by the UNHCR Evaluation Policy for 2022, actual or potential conflicts of interest will be assessed prior to hiring the reviewer. The engagement will be on a consultancy contract basis. O The external consultant must sign the UNHCR Code of Conduct, complete its protection training module and comply with its confidentiality requirements. Guided by established standards and the Ethical Guidelines for Evaluations in the United Nations system, external review at UNHCR is based on the interrelated principles of independence, impartiality, credibility and usefulness. In practice, this requires, among other things: the protection of sources and data; the systematic seeking of informed consent; respect for dignity and diversity; and the minimisation of risks, harm and constraints to individuals involved or participating in the external review, without compromising the integrity of the exercise. Required Competencies and Qualifications: Academic Background: Advanced degree in development studies, social sciences, economics, or related field; or a bachelor’s degree with at least 10 years of relevant experience. Professional Experience: Minimum 5 years in evaluating or reviewing humanitarian or development projects, preferably in refugee livelihoods or GBV programming. Institutional Knowledge: Familiarity with UNHCR’s mandate, operations, and approach to livelihoods and protection. Technical Expertise: Proven experience with diverse data collection and analysis methods (e.g., participatory reviews, focus groups, outcome mapping, vulnerability classification, self-reliance index scoring, survey design). Analytical Skills: Ability to conduct complex analyses and present findings using clear graphics and visualizations. Language Proficiency: Excellent English and good French (written and spoken). Previous experience in Ethiopia is an asset. 11\\. Ethical Considerations While this is not a full evaluation, the External Review is expected to adhere to United Nations Evaluation Group (UNEG), Swiss Evaluation Society (SEVAL), and OECD-DAC ethical standards, ensuring confidentiality, informed consent, and safeguarding of all participants, particularly refugees and GBV survivors. Data protection provisions under UNHCR’s Data Protection Policy and Ethiopia’s regulations must be respected. ## **Standard Job Description** ## ## **Required Languages** , , ## ## **Desired Languages** , , ## ## **Additional Qualifications** _Skills_ _Education_ _Certifications_ _Work Experience_ **Other information** This position doesn't require a functional clearance **Remote** No", "summaryDescription" : "External Evaluator at External Evaluator. Skills: Livelihoods, Economic inclusion, Protection review. Assess project achievements and performance. Identify lessons learned", "postedDate" : "2026-06-13T03:45:48.241", "createdAt" : "2026-06-16T03:45:48.214", "lastUpdated" : "2026-06-16T12:07:39.667", "ingestTimestamp" : "2026-06-16T03:45:48.214", "mongoId" : "6a3055e9f292fd229cf22e59", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://unhcr.wd3.myworkdayjobs.com/External/job/Addis-Ababa-Ethiopia/External-Evaluator---International-Consultancy_JR2667315-2", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Outcome mapping", "Survey design", "Livelihoods", "Economic inclusion", "Protection review", "Livelihoods evaluation", "Economic inclusion review", "Data collection methods", "Data analysis methods", "Refugee livelihoods", "GBV programming", "UNHCR mandate", "UNHCR operations", "UNHCR approach", "Livelihoods and protection", "Ethiopia context", "Refugee context", "Digital refugee identity cards", "National ID (Fayda) numbers", "Legal documentation access", "Financial services access", "Economic opportunities access", "Gender equality promotion", "GBV prevention", "GBV response" ], "skillCount" : 25, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "junior", "dataQualityScore" : 0.8888889, "_score" : 583.1448, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.92 }, { "id" : "6a161fa658b93c861e91a836", "title" : "Monitoring and Evaluation Manager (M&E)", "company" : "New Incentives", "salary" : { "min" : 1.0E7, "max" : 1.5E7, "currency" : "NGN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager-level M&E role in Healthcare in Northeast Nigeria, adjusted for seniority and industry." }, "location" : "Northeast, NG", "locations" : [ "Northeast", "NG" ], "timestamp" : "2026-06-15T05:27:27.441", "fingerprint" : "4e41d0cdf88e1e9f0bf59358ecbfc54977c11cc39dfc6dc27273e8f6e29b5d8d", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://new-incentives.breezy.hr/p/d8080b3598c1-monitoring-and-evaluation-manager-m-e", "externalId" : "d8080b3598c1", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Nigeria", "continent" : "af", "workMode" : "onsite" } ], "locationText" : "Nigeria", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "coreResponsibilities" : "Provide incentives to increase childhood vaccination rates, Save lives in the most cost-effective way", "outcomesObjectives" : "Increase childhood vaccination rates; Save lives cost-effectively", "rawDescription" : "Organization Overview: NI-ABAE is an evidence-based organization that aims to provide incentives to increase childhood vaccination rates and save lives in the most cost-effective way. While caregivers and infants remain our top priority, our operations are guided by accountability, integrity, and a", "summaryDescription" : "Monitoring and Evaluation Manager (M&E) at New Incentives. Provide incentives to increase childhood vaccination rates. Save lives in the most cost-effective way", "createdAt" : "2026-06-14T05:19:05.609", "lastUpdated" : "2026-06-15T05:27:27.441", "ingestTimestamp" : "2026-06-14T05:19:05.609", "mongoId" : "6a161fa658b93c861e91a836", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "_score" : 583.1214, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.92 }, { "id" : "69ce5e3b9bc74574cb677976", "title" : "AI Test Engineer (Generative AI & LLM Focus)", "company" : "Mercedes-Benz Research and Development India", "industry" : "Technology", "salary" : { "min" : 1750000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Test Engineer in Bangalore, India, adjusted for mid-seniority and the technology industry." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "'Embassy Crest' Plot No 5, , EPIP Zone, Phase 1, " ], "certifications" : [ "AI Testing", "Machine Learning", "Quality Assurance" ], "timestamp" : "2026-06-15T11:44:17.004", "fingerprint" : "f297d07cc84869d465083206a56973f2fc4c8e14517a17ffa20a1de89cf2ce16", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=883261", "externalId" : "883261", "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" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, RAG, Vector databases, Transformer architectures, Playwright, Selenium, PyTest", "professionalSkills" : [ "Statistical validation", "Data quality engineering", "Model monitoring", "Synthetic data generation", "Ethical auditing", "Bias auditing" ], "hardSkillsList" : [ "Machine learning concepts", "Model evaluation metrics", "Neural networks", "NLP", "Prompt injection", "Jailbreaks", "Data leakage", "Algorithmic bias" ], "softSkillsList" : [ "Proactive appearance", "German", "English", "Organizational skills", "Coordination skills", "Moderation skills", "Clarification skills", "Structured communication" ], "hardSkills" : [ { "name" : "Machine learning concepts", "level" : "intermediate" }, { "name" : "Model evaluation metrics", "level" : "intermediate" }, { "name" : "Neural networks", "level" : "intermediate" }, { "name" : "NLP", "level" : "intermediate" }, { "name" : "Prompt injection", "level" : "intermediate" }, { "name" : "Jailbreaks", "level" : "intermediate" }, { "name" : "Data leakage", "level" : "intermediate" }, { "name" : "Algorithmic bias", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Proactive appearance" }, { "name" : "German" }, { "name" : "English" }, { "name" : "Organizational skills" }, { "name" : "Coordination skills" }, { "name" : "Moderation skills" }, { "name" : "Clarification skills" }, { "name" : "Structured communication" } ], "majorSkills" : "Generative AI, LLM testing, AI evaluation frameworks", "majorSkillsList" : [ "Generative AI", "LLM testing", "AI evaluation frameworks" ], "coreResponsibilities" : "Design evaluation tests, Detect hallucinations, Assess factual correctness, Evaluate tone, Verify safety guardrails, Build evaluation systems, Maintain evaluation systems, Score LLM responses, Conduct red teaming, Identify vulnerabilities, Validate dataset quality, Validate dataset diversity, Implement observability systems, Detect model drift, Detect feature drift, Generate synthetic datasets, Run automated checks, Run manual checks, Mitigate bias, Ensure EU AI Act compliance", "teamCollaboration" : "Stakeholders from different backgrounds; Interdisciplinary rounds", "projectManagementSkills" : [ "Coordinate timelines", "Coordinate resources", "Coordinate dependencies" ], "domainKnowledge" : "Generative AI; Large Language Models; RAG pipelines; Vector databases; Transformer architectures; EU AI Act", "domainList" : [ "generative-ai", "large-language-models", "rag-pipelines", "vector-databases", "transformer-architectures", "eu-ai-act" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "RAG pipelines", "Vector databases", "Transformer architectures", "EU AI Act" ], "toolProficiency" : [ "Pinecone", "Weaviate", "Weights & Biases", "Arize", "Confluence", "Jira", "Xray", "ServiceNow" ], "communicationSkills" : "Addressee-oriented communication; Stakeholder communication; Professional communication; Methodological communication; Technical communication; Incident communication; Solution-oriented communication", "continuousLearning" : "Continuous learning opportunities", "innovationCreativity" : "Drive innovation", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "3+ years experience in QA, 3+ years data validation, 3+ years ML testing, Hands-on AI pipeline exposure, Prior AI feature testing, Prior ML model testing, Prior data-centric workflow testing, Experience testing AI agents, Experience testing multi-step reasoning", "qualificationsPreferred" : "Familiarity with AI observability stacks", "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. Job Summary: We are seeking an AI Test Engineer specializing in Generative AI and Large Language Models (LLMs) to lead the quality assurance of our next-generation intelligent applications. This role goes beyond traditional software testing—you will validate non-deterministic AI behavior, detect hallucinations, assess ethical compliance, and ensure the reliability and safety of our LLM-powered platforms. You will develop advanced evaluation frameworks to measure semantic accuracy, factuality, and safety, ensuring robust model performance across diverse scenarios. Here's an expanded job description: Key Responsibilities: • Model Behavioral Testing: Design and execute evaluation tests to detect hallucinations, assess factual correctness, evaluate tone, and verify safety guardrails. • Evaluation Framework Development: Build and maintain automated evaluation systems using frameworks like RAGAS, DeepEval, or Giskard to score LLM responses. • Adversarial Red Teaming: Conduct proactive \"red teaming\" to identify vulnerabilities like prompt injection, jailbreaks, and data leakage. • Data Quality Engineering: Validate the quality and diversity of training and validation datasets to prevent \"garbage in, garbage out\" scenarios. • Drift & Performance Monitoring: Implement observability systems (using tools like Weights & Biases or Arize) to detect model and feature drift in production. • Synthetic Data Generation: Use LLMs to generate high-fidelity synthetic test datasets to cover complex edge cases. • Ethical & Bias Auditing: Run automated and manual checks to mitigate algorithmic bias and ensure compliance with the EU AI Act and other global regulations. Required Skills: • AI/ML Knowledge: Strong understanding of machine learning concepts, such as supervised vs. unsupervised learning, model evaluation metrics, neural networks, NLP, etc. Solid understanding of RAG (Retrieval-Augmented Generation) pipelines, vector databases (Pinecone, Weaviate), and transformer architectures. • Statistical Competency: Ability to apply statistical validation (distributions, variance, confidence intervals) to evaluate non-deterministic system results. • Automation & Testing Tools: Practical experience with Playwright, Selenium, PyTest, or equivalent automation frameworks. • Programming: High proficiency in Python (essential for testing automation and data handling). • Collaboration & Workflow Tools: Familiarity with tools such as Confluence, Jira, Xray, and ServiceNow. Soft Skills: • Proactive appearance and strong communication skills in German and English. • Communicative, addressee-oriented, with stakeholders from different backgrounds and hierarchical levels. • Organizational and coordination skills with the ability to coordinate timelines, resources, and dependencies. • Ability to moderate & clarify professional, methodological and technical questions in the context of the release in interdisciplinary rounds. • Ability to communicate in critical incident situations in a structured, addressee-oriented and solution-oriented manner. • Provides visibility into escalation cases and confidently supports teams in root cause analysis and decision-making. Bachelor’s degree in Computer Science & Engineering, Software Engineering, Information Technology, Data Science, or a related discipline. 3+ years of experience in QA, data validation, or ML testing. Hands-on exposure to at least one end-to-end AI pipeline (data → model → evaluation → deployment). Prior involvement in testing or validating AI-powered features, ML models, or data-centric workflows. Experience testing autonomous AI agents and multi-step workflow reasoning. Familiarity with AI observability stacks. Certifications in AI Testing, Machine Learning, or Quality Assurance. 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" : "AI Test Engineer (Generative AI & LLM Focus) at Mercedes-Benz Research and Development India. Skills: Generative AI, LLM testing, AI evaluation frameworks. Design evaluation tests. Detect hallucinations", "createdAt" : "2026-06-14T08:26:08.531", "lastUpdated" : "2026-06-15T11:44:17.004", "ingestTimestamp" : "2026-06-14T08:26:08.531", "mongoId" : "69ce5e3b9bc74574cb677976", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Machine learning concepts", "Model evaluation metrics", "Neural networks", "NLP", "Prompt injection", "Jailbreaks", "Data leakage", "Algorithmic bias", "Proactive appearance", "German", "English", "Organizational skills", "Coordination skills", "Moderation skills", "Clarification skills", "Structured communication", "Generative AI", "LLM testing", "AI evaluation frameworks", "Statistical validation", "Data quality engineering", "Model monitoring", "Synthetic data generation", "Ethical auditing", "Bias auditing", "Coordinate timelines", "Coordinate resources", "Coordinate dependencies", "Large Language Models", "RAG pipelines", "Vector databases", "Transformer architectures", "EU AI Act", "AI Testing", "Machine Learning", "Quality Assurance", "Pinecone", "Weaviate", "Weights & Biases", "Arize", "Confluence", "Jira", "Xray", "ServiceNow" ], "skillCount" : 44, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 580.48834, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a25254874d8ee00a00e4939", "title" : "Evaluation Provider", "company" : "Brightline", "industry" : "Therapy", "salary" : { "min" : 80000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Brooklyn, NY", "locations" : [ "Brooklyn, NY" ], "timestamp" : "2026-06-13T08:57:03.059", "fingerprint" : "0789de4b06a66fe4a343c9f687e41495f741230d522cb383499d46062b38bec7", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/hellobrightline/b8ec92df-77d2-4ab2-98d4-c50e5e21fb17/application", "externalId" : "b8ec92df-77d2-4ab2-98d4-c50e5e21fb17", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brooklyn", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.6526006,-73.9497211" } ], "locationText" : "Brooklyn, New York, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's degree", "professionalSkills" : [ "Diagnostic evaluations", "Differential diagnosis", "Evidence-based care", "Clinical research" ], "hardSkillsList" : [ "Psychological evaluations", "Clinical interviews", "Data review", "Diagnostic recommendations", "Family feedback sessions" ], "hardSkills" : [ { "name" : "Psychological evaluations", "level" : "intermediate" }, { "name" : "Clinical interviews", "level" : "intermediate" }, { "name" : "Data review", "level" : "intermediate" }, { "name" : "Diagnostic recommendations", "level" : "intermediate" }, { "name" : "Family feedback sessions", "level" : "intermediate" } ], "majorSkills" : "Diagnostic evaluation, Pediatric behavioral health, Treatment planning", "majorSkillsList" : [ "Diagnostic evaluation", "Pediatric behavioral health", "Treatment planning" ], "coreResponsibilities" : "Conduct diagnostic evaluations, Integrate screening and rating measures, Deliver family feedback sessions, Collaborate with multidisciplinary teams, Engage in peer consultation, Participate in professional development, Contribute to service line development, Participate in community outreach", "teamCollaboration" : "Multidisciplinary teams", "domainKnowledge" : "Pediatric behavioral health; Youth mental health; Child psychology", "domainList" : [ "pediatric-behavioral-health", "youth-mental-health", "child-psychology" ], "domainSpecificKnowledge" : [ "Pediatric behavioral health", "Youth mental health", "Child psychology" ], "communicationSkills" : "Family feedback sessions; Clinical guidance", "documentationSkills" : "Diagnostic formulations", "continuousLearning" : "Continuous professional development; Staying updated on empirical advancements", "problemSolvingSkills" : "Differential diagnosis", "specialRequirements" : "Maintain 30 hours/week", "outcomesObjectives" : "Shape treatment planning; Improve family outcomes", "qualificationsBasic" : "Master's degree in Psychology, Active, unrestricted license in NY, Extensive diagnostic evaluation experience, Advanced training in semi-structured interviews, Knowledge of evidence-based interventions, Knowledge of current clinical research, Commitment to ethical standards, Experience with in-person and virtual care", "qualificationsPreferred" : "Bilingual candidates preferred, Spanish-speaking preferred, Experience thriving in start-up environment", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Brightline is redefining what pediatric behavioral health care looks like for families across the country — and we’re looking for a mission-driven provider specializing in Evaluations who will bring that vision to life. The Evaluation Provider conducts comprehensive psychological evaluations for youth up to age 18, serving as a specialist resource across the region. If you are as passionate about evidence-based mental health care for kids, teens, and families as we are, we’re looking for you. Why This Role Brightline is expanding its evaluation capacity to meet growing demand across our NY clinics. In this role, you will serve as a dedicated specialist — conducting in-depth diagnostic evaluations that directly shape treatment planning and family outcomes. You’ll collaborate with multidisciplinary teams and help set the clinical standard for evaluation excellence at Brightline. This is a rare opportunity to do high-impact clinical work within an innovative, fast-growing practice that is transforming pediatric mental health care. Responsibilities Diagnostic Evaluation - Conduct in-depth diagnostic evaluations, including clinical interviews, multi-informant data review, and differential diagnosis, to clarify presenting concerns and inform evidence-based care for youth up to age 18 (ongoing care provided by other team members) - Provide clear, evidence-based recommendations for ongoing care in alignment with patient need and Brightline’s program offerings - Integrate screening and rating measures into comprehensive diagnostic formulations - Deliver family feedback sessions with actionable, accessible clinical guidance Collaboration & Development - Collaborate with multidisciplinary teams, engage in peer consultation, and participate in continuous professional development - Contribute to the development and refinement of Brightline’s evaluation and testing service line - Participate in community engagement and outreach opportunities REQUIREMENTS: - Master’s degree in Psychology or other related field - Active, unrestricted license to practice at the masters level in the State of New York - Extensive experience conducting diagnostic evaluations across a variety of presenting concerns for youth and families - Advanced training in semi-structured diagnostic interviews with ability to adapt to varied clinical contexts - Strong working knowledge of evidence-based interventions for common pediatric concerns, enabling clear and actionable diagnostic recommendations - Strong knowledge of current clinical research and commitment to staying updated on the latest empirical advancements - Clear understanding of and deep commitment to ethical standards of care - Experience providing care both in-person and virtually (some evaluations and feedback sessions may be conducted virtually depending on clinical appropriateness and family preference) - Interest and experience thriving in a start-up environment - Bilingual candidates are strongly preferred, particularly Spanish-speaking - Ability to maintain up to 30 hours per week for evaluations + feedback WE OFFER SEVERAL BENEFITS, PERKS, AND STIPENDS: - Medical, Dental, Vision, Long-Term Disability, Life Insurance, Flexible Spending Account, and 401k - 12 Company Holidays + Floating Holidays, Holiday Shutdown, Flexible Time Off, Parental Leave - Health and Wellness Stipend, Home Office Reimbursement and Professional Development Reimbursement - Stock Options At Brightline we have built a total rewards philosophy that includes fair, equitable, competitive, geo-based compensation that is performance and potential based. Our strategy is based on robust market research, including external advisory specializing in national compensation, and thoughtful input from every level of our organization. It is a combination of a cash salary, equity, benefits, wellbeing, and opportunity. In compliance with the Equal Pay for Equal Work Act, the annual base salary range for applicants is $80,000- $105,000. OUR COMMITMENT TO BUILDING A DIVERSE, EQUITABLE, AND INCLUSIVE WORKFORCE At Brightline, we believe that Diversity, Equity, Inclusion, and Belonging are essential to the foundation upon which our mission is built. We are committed to: - building a future where all families can access inclusive, high-quality care - creating an environment that encourages our employees to show up authentically, reach their highest potential, and have an equal opportunity to thrive - systematically evaluating and improving our inherent beliefs, observed behaviors, structures, and systems - ensuring that every employee, candidate, client, and family we serve is valued and respected ABOUT BRIGHTLINE Brightline is a therapy and psychiatry practice that delivers expert pediatric, teen, and parental mental health care to families and kids up to age 18. Brightline’s virtual and in-person outpatient services include diagnostic evaluation, therapy, psychiatry services (e.g. medication management), and psychological testing (to assess learning differences, school readiness, executive functioning difficulties [e.g. ADHD], and autism). In addition to Brightline’s generalized support, we offer focused programs including those that support anxiety, obsessive compulsive disorders, ADHD, and disruptive behaviors. Founded in 2019, Brightline has delivered care to tens of thousands of families with industry-leading results http://brightline.com/employers. We’ve been nationally recognized for clinical excellence and innovation for several years — recent awards include the Fast Company 50 Most Innovative Companies (2022) and Behavioral Health Business Companies to Watch Award (2024). Brightline is based in Palo Alto and is backed by investors including Boston Children’s Hospital, Northwell Health, Blue Cross Blue Shield of Massachusetts, Google Ventures, KKR, and Oak HC/FT.", "summaryDescription" : "Evaluation Provider at Brightline. Skills: Diagnostic evaluation, Pediatric behavioral health, Treatment planning. Conduct diagnostic evaluations. Integrate screening and rating measures", "postedDate" : "2026-06-11T16:59:00.173", "createdAt" : "2026-06-11T16:59:00.173", "lastUpdated" : "2026-06-13T08:57:03.059", "ingestTimestamp" : "2026-06-11T16:59:00.173", "mongoId" : "6a25254874d8ee00a00e4939", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 80000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Psychological evaluations", "Clinical interviews", "Data review", "Diagnostic recommendations", "Family feedback sessions", "Diagnostic evaluation", "Pediatric behavioral health", "Treatment planning", "Diagnostic evaluations", "Differential diagnosis", "Evidence-based care", "Clinical research", "Youth mental health", "Child psychology" ], "skillCount" : 14, "jobCategory" : "other", "jobSubcategory" : "therapy", "dataQualityScore" : 0.8888889, "_score" : 573.02325, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a25254874d8ee00a00e4932", "title" : "Evaluation Provider", "company" : "Brightline", "industry" : "Therapy", "salary" : { "min" : 95000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Evaluation Provider in New York, adjusted for the healthcare industry and company size." }, "location" : "Manhattan, NY", "locations" : [ "Manhattan, NY" ], "timestamp" : "2026-06-14T20:11:16.594", "fingerprint" : "74dabdeaa9557b877b36fbda9a93dae5ebf62b437bd5265bbd1afea716ef0133", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/hellobrightline/5a5b99ce-34c9-4ed0-b6f0-c2c2e85266b6/application", "externalId" : "5a5b99ce-34c9-4ed0-b6f0-c2c2e85266b6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "professionalSkills" : [ "Diagnostic evaluation", "Differential diagnosis", "Treatment planning", "Clinical guidance", "Evidence-based care", "Clinical research", "Ethical standards" ], "hardSkillsList" : [ "Clinical interviews", "Data review", "Diagnostic formulation", "Family feedback" ], "hardSkills" : [ { "name" : "Clinical interviews", "level" : "intermediate" }, { "name" : "Data review", "level" : "intermediate" }, { "name" : "Diagnostic formulation", "level" : "intermediate" }, { "name" : "Family feedback", "level" : "intermediate" } ], "majorSkills" : "Diagnostic evaluation, Pediatric behavioral health, Treatment planning", "majorSkillsList" : [ "Diagnostic evaluation", "Pediatric behavioral health", "Treatment planning" ], "coreResponsibilities" : "Conduct diagnostic evaluations, Integrate screening measures, Deliver family feedback sessions, Collaborate with multidisciplinary teams, Engage in peer consultation, Participate in professional development, Contribute to service line development, Participate in community outreach", "teamCollaboration" : "Multidisciplinary teams; Peer consultation", "domainKnowledge" : "Pediatric behavioral health; Evidence-based mental health; Youth mental health; Child psychology; Adolescent psychology", "domainList" : [ "pediatric-behavioral-health", "evidence-based-mental-health", "youth-mental-health", "child-psychology", "adolescent-psychology" ], "domainSpecificKnowledge" : [ "Pediatric behavioral health", "Evidence-based mental health", "Youth mental health", "Child psychology", "Adolescent psychology" ], "communicationSkills" : "Family feedback sessions; Clinical guidance", "continuousLearning" : "Continuous professional development; Staying updated on advancements", "problemSolvingSkills" : "Differential diagnosis; Actionable recommendations", "specialRequirements" : "Maintain 30 hours/week", "outcomesObjectives" : "Shape treatment planning; Improve family outcomes", "qualificationsBasic" : "Master's degree in Psychology, Active, unrestricted license in NY, Extensive diagnostic evaluation experience, Advanced semi-structured interview training, Knowledge of evidence-based interventions, Knowledge of current clinical research, Commitment to ethical standards, Experience with in-person and virtual care", "qualificationsPreferred" : "Bilingual candidates preferred, Spanish-speaking preferred, Experience thriving in start-up", "workSiteFlexibility" : "Flexible", "rawDescription" : "Brightline is redefining what pediatric behavioral health care looks like for families across the country — and we’re looking for a mission-driven provider specializing in Evaluations who will bring that vision to life. The Evaluation Provider conducts comprehensive psychological evaluations for youth up to age 18, serving as a specialist resource across the region. If you are as passionate about evidence-based mental health care for kids, teens, and families as we are, we’re looking for you. Why This Role Brightline is expanding its evaluation capacity to meet growing demand across our NY clinics. In this role, you will serve as a dedicated specialist — conducting in-depth diagnostic evaluations that directly shape treatment planning and family outcomes. You’ll collaborate with multidisciplinary teams and help set the clinical standard for evaluation excellence at Brightline. This is a rare opportunity to do high-impact clinical work within an innovative, fast-growing practice that is transforming pediatric mental health care. Responsibilities Diagnostic Evaluation - Conduct in-depth diagnostic evaluations, including clinical interviews, multi-informant data review, and differential diagnosis, to clarify presenting concerns and inform evidence-based care for youth up to age 18 (ongoing care provided by other team members) - Provide clear, evidence-based recommendations for ongoing care in alignment with patient need and Brightline’s program offerings - Integrate screening and rating measures into comprehensive diagnostic formulations - Deliver family feedback sessions with actionable, accessible clinical guidance Collaboration & Development - Collaborate with multidisciplinary teams, engage in peer consultation, and participate in continuous professional development - Contribute to the development and refinement of Brightline’s evaluation and testing service line - Participate in community engagement and outreach opportunities REQUIREMENTS: - Master’s degree in Psychology or other related field - Active, unrestricted license to practice at the masters level in the State of New York - Extensive experience conducting diagnostic evaluations across a variety of presenting concerns for youth and families - Advanced training in semi-structured diagnostic interviews with ability to adapt to varied clinical contexts - Strong working knowledge of evidence-based interventions for common pediatric concerns, enabling clear and actionable diagnostic recommendations - Strong knowledge of current clinical research and commitment to staying updated on the latest empirical advancements - Clear understanding of and deep commitment to ethical standards of care - Experience providing care both in-person and virtually (some evaluations and feedback sessions may be conducted virtually depending on clinical appropriateness and family preference) - Interest and experience thriving in a start-up environment - Bilingual candidates are strongly preferred, particularly Spanish-speaking - Ability to maintain up to 30 hours per week for evaluations + feedback WE OFFER SEVERAL BENEFITS, PERKS, AND STIPENDS: - Medical, Dental, Vision, Long-Term Disability, Life Insurance, Flexible Spending Account, and 401k - 12 Company Holidays + Floating Holidays, Holiday Shutdown, Flexible Time Off, Parental Leave - Health and Wellness Stipend, Home Office Reimbursement and Professional Development Reimbursement - Stock Options At Brightline we have built a total rewards philosophy that includes fair, equitable, competitive, geo-based compensation that is performance and potential based. Our strategy is based on robust market research, including external advisory specializing in national compensation, and thoughtful input from every level of our organization. It is a combination of a cash salary, equity, benefits, wellbeing, and opportunity. In compliance with the Equal Pay for Equal Work Act, the annual base salary range for applicants is $80,000- $105,000. OUR COMMITMENT TO BUILDING A DIVERSE, EQUITABLE, AND INCLUSIVE WORKFORCE At Brightline, we believe that Diversity, Equity, Inclusion, and Belonging are essential to the foundation upon which our mission is built. We are committed to: - building a future where all families can access inclusive, high-quality care - creating an environment that encourages our employees to show up authentically, reach their highest potential, and have an equal opportunity to thrive - systematically evaluating and improving our inherent beliefs, observed behaviors, structures, and systems - ensuring that every employee, candidate, client, and family we serve is valued and respected ABOUT BRIGHTLINE Brightline is a therapy and psychiatry practice that delivers expert pediatric, teen, and parental mental health care to families and kids up to age 18. Brightline’s virtual and in-person outpatient services include diagnostic evaluation, therapy, psychiatry services (e.g. medication management), and psychological testing (to assess learning differences, school readiness, executive functioning difficulties [e.g. ADHD], and autism). In addition to Brightline’s generalized support, we offer focused programs including those that support anxiety, obsessive compulsive disorders, ADHD, and disruptive behaviors. Founded in 2019, Brightline has delivered care to tens of thousands of families with industry-leading results http://brightline.com/employers. We’ve been nationally recognized for clinical excellence and innovation for several years — recent awards include the Fast Company 50 Most Innovative Companies (2022) and Behavioral Health Business Companies to Watch Award (2024). Brightline is based in Palo Alto and is backed by investors including Boston Children’s Hospital, Northwell Health, Blue Cross Blue Shield of Massachusetts, Google Ventures, KKR, and Oak HC/FT.", "summaryDescription" : "Evaluation Provider at Brightline. Skills: Diagnostic evaluation, Pediatric behavioral health, Treatment planning. Conduct diagnostic evaluations. Integrate screening measures", "postedDate" : "2026-06-11T18:16:04.861", "createdAt" : "2026-06-11T18:16:04.861", "lastUpdated" : "2026-06-14T20:11:16.594", "ingestTimestamp" : "2026-06-11T18:16:04.861", "mongoId" : "6a25254874d8ee00a00e4932", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 145000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Clinical interviews", "Data review", "Diagnostic formulation", "Family feedback", "Diagnostic evaluation", "Pediatric behavioral health", "Treatment planning", "Differential diagnosis", "Clinical guidance", "Evidence-based care", "Clinical research", "Ethical standards", "Evidence-based mental health", "Youth mental health", "Child psychology", "Adolescent psychology" ], "skillCount" : 16, "jobCategory" : "other", "jobSubcategory" : "therapy", "dataQualityScore" : 0.8888889, "_score" : 571.67255, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a2a48e474d8ee00a05e2589", "title" : "Machine Learning Engineer II - Autonomous Driving Performance Evaluation", "company" : "May Mobility", "industry" : "Autonomous Driving", "salary" : { "min" : 172000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Ann Arbor, Michigan, United States", "locations" : [ "Ann Arbor", "Michigan", "United States" ], "timestamp" : "2026-06-14T20:54:48.829", "fingerprint" : "4750003381d60d7852e5c0b143f7ba3d882c656d76a59743c5c925c9777419c2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/maymobility/jobs/8187068002", "externalId" : "8187068002", "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", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, NumPy, Pandas, Machine Learning, Perception, Planning, Go, C++", "professionalSkills" : [ "Quantitative metrics design", "Statistical analyses", "Model behavior translation", "Decision-grade signals", "Data-centric ML methods", "Model performance lifting" ], "hardSkillsList" : [ "Loss analysis", "Error mining", "Data balancing", "Data curation", "Hard-example mining", "Resampling", "Reweighting", "Curriculum adjustments", "Balance adjustments", "Long-tail analysis", "Regression detection", "Noisy-metric analysis", "Embedding-based retrieval", "Active learning", "Auto-labeling" ], "hardSkills" : [ { "name" : "Loss analysis", "level" : "intermediate" }, { "name" : "Error mining", "level" : "intermediate" }, { "name" : "Data balancing", "level" : "intermediate" }, { "name" : "Data curation", "level" : "intermediate" }, { "name" : "Hard-example mining", "level" : "intermediate" }, { "name" : "Resampling", "level" : "intermediate" }, { "name" : "Reweighting", "level" : "intermediate" }, { "name" : "Curriculum adjustments", "level" : "intermediate" }, { "name" : "Balance adjustments", "level" : "intermediate" }, { "name" : "Long-tail analysis", "level" : "intermediate" }, { "name" : "Regression detection", "level" : "intermediate" }, { "name" : "Noisy-metric analysis", "level" : "intermediate" }, { "name" : "Embedding-based retrieval", "level" : "intermediate" }, { "name" : "Active learning", "level" : "intermediate" }, { "name" : "Auto-labeling", "level" : "intermediate" } ], "majorSkills" : "ML Engineering, Autonomous Driving, Performance Evaluation, Metrics and evaluation", "majorSkillsList" : [ "ML Engineering", "Autonomous Driving", "Performance Evaluation", "Metrics and evaluation" ], "coreResponsibilities" : "Design ML metrics pipelines, Implement ML metrics pipelines, Own ML metrics pipelines, Design evaluation pipelines, Implement evaluation pipelines, Own evaluation pipelines, Design test suites, Implement test suites, Own test suites, Build regression suites, Maintain regression suites, Build hillclimbing suites, Maintain hillclimbing suites, Automate triage of regressions, Drive model improvement, Analyze loss, Mine errors, Balance data for training, Cure data for training, Balance data for evaluation, Cure data for evaluation", "teamCollaboration" : "Autonomous Driving ML team", "domainKnowledge" : "Autonomous vehicles; Robotics; Multi-Policy Decision Making; Machine Learning; Perception; Planning", "domainList" : [ "autonomous-vehicles", "robotics", "multi-policy-decision-making", "machine-learning", "perception", "planning" ], "domainSpecificKnowledge" : [ "Autonomous vehicles", "Robotics", "Multi-Policy Decision Making", "Machine Learning", "Perception", "Planning" ], "toolProficiency" : [ "MLflow", "Weights & Biases", "Plotly", "Grafana", "Streamlit" ], "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Prolonged sitting, Prolonged standing, Prolonged computer use, 5-10% travel", "qualificationsBasic" : "Bachelor's or Master's degree, 2 years building evaluation systems, Python proficiency, Linux environments experience, Familiarity with ML concepts, Familiarity with Perception concepts, Familiarity with Planning concepts", "qualificationsPreferred" : "Proficiency in Go or C++, Familiarity with experiment tracking tooling, Familiarity with statistical methods, Familiarity with data mining at scale, Familiarity with visualization tools", "workSiteFlexibility" : "Onsite", "rawDescription" : "May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Job Summary May Mobility is entering an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation. Launched in 2017 with a strong team of experienced roboticists and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is looking to expand its team of robotics engineers with a background in robotics or autonomous vehicles. We are seeking ML-Oriented Software Engineers with experience in robotics applications. As part of our Autonomous Driving ML team, you will use ML Engineering concepts to measure, analyze and systematically improve the performance of May's Autonomous Driving stack through data, metrics, evaluation and test/hillclimbing suites. Essential Responsibilities Design, implement and own ML metrics and evaluation pipelines spanning offline model evaluation, simulation and on-road performance. Build and maintain test, regression and hillclimbing suites that gate model and stack releases, including automated triage of regressions to root cause. Drive model improvement through loss analysis, error mining, and data balancing/curation strategies for training and evaluation sets. Skills and Abilities Success in this role typically requires the following competencies: Designing quantitative metrics and statistical analyses that translate model behavior into actionable, decision-grade signals (significance, slicing, long-tail analysis). Building evaluation and analytics frameworks in production, including dataset slicing, result aggregation and dashboarding at scale. Applying data-centric ML methods such as hard-example mining, resampling/reweighting and curriculum or balance adjustments to lift model performance. Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required Bachelor's or Master's degree in Robotics, Computer Science, Statistics, or a related field with strong mathematical and engineering foundations. A minimum of 2 years building evaluation, metrics, or data analysis systems for ML in production. Proficiency in Python (NumPy/Pandas or equivalent dataframe tooling) with experience in Linux environments. Familiarity with basic concepts in Machine Learning (losses, train/eval splits, common failure modes) and basic Perception and Planning concepts in Autonomous Driving. Desirable Proficiency in Go or C++. Familiarity with experiment tracking and evaluation tooling such as MLflow, Weights & Biases, or in-house equivalents. Familiarity with statistical methods for A/B comparison, regression detection and noisy-metric analysis. Familiarity with data mining and curation at scale (embedding-based retrieval, active learning, auto-labeling). Familiarity with visualization and dashboarding tools (Plotly, Grafana, Streamlit or similar). Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Travel required? - Low 5-10% Benefits and Perks Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. Rich retirement benefits, including an immediately vested employer safe harbor match. Generous paid parental leave as well as a phased return to work. Flexible vacation policy in addition to paid company holidays. Total Wellness Program providing numerous resources for overall wellbeing Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our website! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners. Salary Range $172,000—$210,000 USD", "summaryDescription" : "Machine Learning Engineer II - Autonomous Driving Performance Evaluation at May Mobility. Skills: ML Engineering, Autonomous Driving, Performance Evaluation, Metrics and evaluation. Design ML metrics pipelines. Implement ML metrics pipelines", "postedDate" : "2026-06-11T19:04:42.459", "createdAt" : "2026-06-11T19:04:42.459", "lastUpdated" : "2026-06-14T20:54:48.829", "ingestTimestamp" : "2026-06-11T19:04:42.459", "mongoId" : "6a2a48e474d8ee00a05e2589", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 172000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Loss analysis", "Error mining", "Data balancing", "Data curation", "Hard-example mining", "Resampling", "Reweighting", "Curriculum adjustments", "Balance adjustments", "Long-tail analysis", "Regression detection", "Noisy-metric analysis", "Embedding-based retrieval", "Active learning", "Auto-labeling", "ML Engineering", "Autonomous Driving", "Performance Evaluation", "Metrics and evaluation", "Quantitative metrics design", "Statistical analyses", "Model behavior translation", "Decision-grade signals", "Data-centric ML methods", "Model performance lifting", "Autonomous vehicles", "Robotics", "Multi-Policy Decision Making", "Machine Learning", "Perception", "Planning", "MLflow", "Weights & Biases", "Plotly", "Grafana", "Streamlit" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "autonomy-engineering", "dataQualityScore" : 0.8888889, "_score" : 568.41034, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Autonomous Driving" }, { "id" : "6a164cef58b93c861ea063a8", "title" : "Deployment & Testing Lead", "company" : "Velmenni", "industry" : "Technology", "salary" : { "min" : 2000000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on 2024-2025 market data for a Lead Deployment & Testing Lead in the Technology industry in New Delhi, India, considering company size and seniority level." }, "location" : "New Delhi, IN", "locations" : [ "New Delhi", "IN" ], "timestamp" : "2026-06-15T22:50:14.828", "fingerprint" : "7bc025d72891d7b2404dc0b2044595f3f2483849fa6c3998524818ac59bdfca0", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://nexthire.breezy.hr/p/94eea81cfb99-velmenni-deployment-testing-lead", "externalId" : "94eea81cfb99", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New Delhi", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "28.6138954,77.2090057" } ], "locationText" : "New Delhi, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "majorSkills" : "Wireless backhaul, Network integration, Testing activities", "majorSkillsList" : [ "Wireless backhaul", "Network integration", "Testing activities" ], "coreResponsibilities" : "Lead deployment activities, Lead testing activities", "domainKnowledge" : "Wireless backhaul deployment; Network integration", "domainList" : [ "wireless-backhaul-deployment", "network-integration" ], "domainSpecificKnowledge" : [ "Wireless backhaul deployment", "Network integration" ], "qualificationsBasic" : "5+ years experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "Deployment & Testing Lead – Velmenni Company: VelmenniLocation: New DelhiExperience: 5+ Years Job Summary Velmenni is looking for an experienced Deployment & Testing Lead with strong expertise in wireless backhaul deployment, network integration, and testing activities. The candidate will b", "summaryDescription" : "Deployment & Testing Lead at Velmenni. Skills: Wireless backhaul, Network integration, Testing activities. Lead deployment activities. Lead testing activities", "createdAt" : "2026-06-14T21:54:00.497", "lastUpdated" : "2026-06-15T22:50:14.828", "ingestTimestamp" : "2026-06-14T21:54:00.497", "mongoId" : "6a164cef58b93c861ea063a8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Wireless backhaul", "Network integration", "Testing activities", "Wireless backhaul deployment" ], "skillCount" : 4, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 567.39465, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c8c7d74d8ee00a0975a17", "title" : "Product Quality Engineer & Test Automation", "industry" : "Product", "salary" : { "min" : 1850000.0, "max" : 2750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Product Quality Engineer & Test Automation in Pune, India, adjusted for the technology industry and onsite work mode." }, "location" : "Pune", "locations" : [ "Pune" ], "timestamp" : "2026-06-15T09:06:16.323", "fingerprint" : "5dae5a9d20fb2c48c94214052e3592a6ecd4caf971cf77bdab54534756681c25", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/neuralconcept/291e4eb7-9c61-4a67-8dfc-5b55c6c2d9ea/application", "externalId" : "291e4eb7-9c61-4a67-8dfc-5b55c6c2d9ea", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Pune, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Agentic tools, Automation, CI/CD, Python, Playwright, Software performance testing", "professionalSkills" : [ "Quality assurance", "Test automation", "Continuous quality assurance", "QA roadmap", "Quality playbook", "Bug triage", "Severity evaluation", "Validation processes", "Product quality validation", "User-centric storytelling" ], "hardSkillsList" : [ "Python scripting", "Playwright automations", "Software performance testing" ], "hardSkills" : [ { "name" : "Python scripting", "level" : "intermediate" }, { "name" : "Playwright automations", "level" : "intermediate" }, { "name" : "Software performance testing", "level" : "intermediate" } ], "majorSkills" : "Test automation, AI agents, Quality assurance", "majorSkillsList" : [ "Test automation", "AI agents", "Quality assurance" ], "coreResponsibilities" : "Build test automation, Own test automation, Leverage AI agents, Leverage latest technologies, Achieve quality targets, Catch quality issues, Ship releases without delays, Establish QA roadmap, Maintain QA roadmap, Align QA roadmap, Focus on risk areas, Implement quality playbook, Adopt quality playbook, Document risk categories, Document acceptance criteria, Document test requirements, Reduce bug resolution time, Joint triage, Severity evaluation, Validation processes", "teamCollaboration" : "Seamless collaboration with developers; Collaboration with leadership", "projectManagementSkills" : [ "QA roadmap" ], "domainKnowledge" : "Mechanical Engineering; Physics; Machine Learning; CAE systems; CAD systems; PLM systems; Simulation systems", "domainList" : [ "mechanical-engineering", "physics", "machine-learning", "cae-systems", "cad-systems", "plm-systems", "simulation-systems" ], "domainSpecificKnowledge" : [ "Mechanical Engineering", "Physics", "Machine Learning", "CAE systems", "CAD systems", "PLM systems", "Simulation systems" ], "toolProficiency" : [ "Playwright" ], "communicationSkills" : "Communicate clearly pragmatically", "documentationSkills" : "Technical documentation", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Reason deeply about product behavior", "outcomesObjectives" : "80% quality issues caught during development; 90% customer facing releases shipped without quality delays; Reduce average bug resolution time by 30%", "qualificationsBasic" : "QA experience 6 years+, Applied depth in AI, Agentic tools for QA, Use AI thoughtfully, Solid technical foundations, Automation, CI/CD, Python scripting, Playwright automations, Software performance testing, Reason deeply about product behavior, Communicate clearly pragmatically", "qualificationsPreferred" : "Curiosity for innovation", "remoteFriendly" : true, "rawDescription" : "The User Empowerment Squad Our User Empowerment squad ensures that every user can fully and quickly unlock the value of our platform. We work at the intersection of product and community, on a mission to bridge knowledge between users and product: we create inspiring learning resources, design smooth onboarding journeys, oversee high-quality technical documentation, validate product quality and best communicate feature value. By combining technical rigor with user-centric storytelling, we empower our community to adopt, master, and advocate for our technology. About the role Building an enterprise-grade product demands extreme discipline and robustness in the validation phase prior to release to offer exceptional experience to our users. This role is about expanding the quality practice and ensuring reliability grows alongside development velocity. What you will do - Build and own the test automation of the platform enabling continuous quality assurance. Leverage AI agents and latest technologies for optimal test automation. - Own the responsibility for the team to achieve its quality targets: - 80% quality issues caught directly during the development cycle by automated tests. Manual tests are only focused on the 20% edge cases. - 90% customer facing releases and patches are shipped without any quality delays. - Establish and maintain prioritized QA roadmap aligned with VP Engineering objectives, ensuring QA team focuses on highest-risk areas, with clear ownership. - Implement standardized and shared quality playbook adopted across 100% of product areas, documenting defined risk categories, acceptance criteria, and test requirements for each domain. - Reduce average bug resolution time by 30% through joint triage, severity evaluation and validation processes. Who you are You are a guardian of reliability, deeply enthusiastic about providing trust in a product that evolves fast. You are intrinsically leveraging the best tools to multiply your impact and have actionable bug reports. In particular, you bring: - Strong QA experience (6 year +) in complex technical software (CAE, CAD, PLM, simulation, or similarly demanding systems) - Applied depth in AI and agentic tools for QA and test automation, with curiosity for innovation and the ability to use it thoughtfully for meaningful impact. - Field knowledge in Mechanical Engineering, Physics and Machine Learning - Solid technical foundations (automation, CI/CD, python scripting, Playwright automations, software performance testing) - Reasoning deeply about product behavior to influence QA decisions - Seamless collaboration with developers and leadership, communicating clearly, pragmatically, and with impact. - Ownership of problems end-to-end and taking responsibility for the quality of what users ultimately experience. - A strong team spirit and builder mindset, ready to understand what our users need, deliver under uncertainty and push the boundaries of what’s possible. WE'RE PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER, AND WE'RE COMMITTED TO BUILDING A DIVERSE AND INCLUSIVE ENVIRONMENT WHERE YOU CAN THRIVE.", "summaryDescription" : "Product Quality Engineer & Test Automation. Skills: Test automation, AI agents, Quality assurance. Build test automation. Own test automation", "createdAt" : "2026-06-14T05:29:45.497", "lastUpdated" : "2026-06-15T09:06:16.323", "ingestTimestamp" : "2026-06-14T05:29:45.497", "mongoId" : "6a2c8c7d74d8ee00a0975a17", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Python scripting", "Playwright automations", "Software performance testing", "Test automation", "AI agents", "Quality assurance", "Continuous quality assurance", "QA roadmap", "Quality playbook", "Bug triage", "Severity evaluation", "Validation processes", "Product quality validation", "User-centric storytelling", "Mechanical Engineering", "Physics", "Machine Learning", "CAE systems", "CAD systems", "PLM systems", "Simulation systems", "Playwright" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 567.0573, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2aa0f574d8ee00a06a9c60", "title" : "Craftsperson, Inspection", "company" : "Mulberry", "industry" : "Production", "salary" : { "min" : 32500.0, "max" : 45000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Craftsperson, Inspection in Bridgwater, United Kingdom, adjusted for the manufacturing industry and company size." }, "location" : "Willows Factory, Bridgwater", "locations" : [ "Willows Factory, Bridgwater" ], "certifications" : [ "Corp Certification" ], "timestamp" : "2026-06-15T00:52:37.305", "fingerprint" : "af3f98c8e4ee600d7456977e13171a2617611ea13ab8ede22cce66dc7595b4ff", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/mulberry/3318e05e-8f46-4fdb-9e29-d02496c05ca2/apply", "externalId" : "3318e05e-8f46-4fdb-9e29-d02496c05ca2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bridgwater", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.1283378,-3.0037046" } ], "locationText" : "Bridgwater, United Kingdom", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Quality inspection", "Raw material inspection", "Finished goods inspection", "Costing analysis" ], "hardSkillsList" : [ "Rub test", "Light fastness testing", "Water spot testing", "Leather quality checks", "Component quality checks" ], "softSkillsList" : [ "Honesty", "Dynamism", "Community spirit", "Open-mindedness", "Respectfulness" ], "hardSkills" : [ { "name" : "Rub test", "level" : "intermediate" }, { "name" : "Light fastness testing", "level" : "intermediate" }, { "name" : "Water spot testing", "level" : "intermediate" }, { "name" : "Leather quality checks", "level" : "intermediate" }, { "name" : "Component quality checks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Honesty" }, { "name" : "Dynamism" }, { "name" : "Community spirit" }, { "name" : "Open-mindedness" }, { "name" : "Respectfulness" } ], "majorSkills" : "Quality inspection, Process management, Material testing", "majorSkillsList" : [ "Quality inspection", "Process management", "Material testing" ], "coreResponsibilities" : "Inspect finished goods, Carry out packing on finished goods, Bring trends to the attention of Supervisor/Manager, Manage reporting process, Complete inspection paperwork, Work in a timely manner, Carry out inline inspection, Inspect raw materials and components, Complete random quality checks of leather, Record inspection results, Distribute inspection results, Provide accurate information for leather allowances, Maintain lab and testing equipment, Assist in other areas of the Department", "teamCollaboration" : "Work collaboratively with Materials Technologists", "domainKnowledge" : "British lifestyle brand; Quality standards; Packing specifications; Leather quality; Component quality", "domainList" : [ "british-lifestyle-brand", "quality-standards", "packing-specifications", "leather-quality", "component-quality" ], "domainSpecificKnowledge" : [ "British lifestyle brand", "Quality standards", "Packing specifications", "Leather quality", "Component quality" ], "communicationSkills" : "Written skills", "documentationSkills" : "Reporting process management", "specialRequirements" : "Temporary role, Sickness cover, Four days per week, Work on other Mulberry sites", "outcomesObjectives" : "Ensure all products are cleared by end of week", "qualificationsBasic" : "Good communication skills, Good written skills, Ability to remain focused, Ability to keep calm under pressure", "qualificationsPreferred" : "IT skills useful", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Born in 1971, the roots of Mulberry are in Somerset, England. For more than fifty years, Mulberry has been a British lifestyle brand, internationally acclaimed for quality and design capturing the Mulberry Spirit. Sustainability has been part of the Mulberry ethos since the brand's inception, in recognition of our purpose-driven approach, in 2024 we proudly achieved B Corp Certification. Today, we are a global brand, but our values remain the same; we are committed to improving our impact on people and the planet. To do this our people are honest, dynamic, and community spirited. If these are values you share, we would love you to join our team. Scope of Role: You will be part of the Quality Inspection Team carrying out inspections of our bags and raw materials both inline (during the production process) and end of line (finished goods). This is a temporary role to provide sickness cover within the team, working four days per week (Monday to Thursday). Duties and Responsibilities: − To inspect all finished goods to the correct standards using the Sealed Sample and 1st Production Sample. − Carry out Packing on finished goods using the correct Packing Specifications. − Bring to the attention of the Supervisor/Manager any trends so they can be resolved. − Manage the relevant reporting process including inspection, non-conformance, delivery etc ensuring the correct paperwork is completed so that quality can be analysed. − Work in a timely manner to ensure that all products are cleared by the end of the week. − Carry out In line Inspection of lines. − Work collaboratively with the Materials Technologists to carry out inspections on raw materials and components including rub test, light fastness, water spot etc. − Complete random quality checks of leather and components, recording the results following Mulberry’s set standards and distributing in a timely manor to relevant partners. − Provide accurate and relevant information so leather allowances can be accurately monitored and reviewed by the costings team. − Maintain the lab and testing equipment. − Assist in any other areas of the Department as necessary. Culture: − Embrace and demonstrate the Mulberry values and behaviours: honesty, dynamism, and a community-oriented spirit. − Support Mulberry to deliver an inclusive culture, through behaving in a way that is open-minded and respectful towards others, and understanding that your views, opinions, and experiences may not always be shared by your colleagues. − Act as an ambassador for Mulberry and communicate positively about the brand. Sustainability: − As a certified B Corp business, it is important to incorporate environmentally responsible practices into your work wherever possible. Support the businesses ‘Five C’s’ strategy in addressing and improving Climate, Cultivation, Craft, Culture and Circularity. Promote a greener, more sustainable future. − Support to foster an environment where diversity is embraced and all individuals feel valued, respected and included. Promote equity, empathy and understanding and demonstrate this commitment within your internal and external communities. Skills and Knowledge Required: − A very good eye for detail. − Good communication and written skills. − Flexible “Can Do” attitude. − Ability to remain focused. − Ability to keep calm under pressure. − IT skills would be useful but not essential. Other: − You may be asked to work on other Mulberry sites ## Additional Information Mulberry is an equal opportunities employer and we are passionate about hiring and developing the best talent. All hiring decisions are made only on the basis of qualifications, skills or experience and as they relate to the particular role. If you need us to make any adjustments to our application or interview processes to enable you to be at your best, please email us at talent@mulberry.com.", "summaryDescription" : "Craftsperson, Inspection at Mulberry. Skills: Quality inspection, Process management, Material testing. Inspect finished goods. Carry out packing on finished goods", "postedDate" : "2026-06-11T09:37:23.523", "createdAt" : "2026-06-11T09:37:23.523", "lastUpdated" : "2026-06-15T00:52:37.305", "ingestTimestamp" : "2026-06-12T06:34:15.546", "mongoId" : "6a2aa0f574d8ee00a06a9c60", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Rub test", "Light fastness testing", "Water spot testing", "Leather quality checks", "Component quality checks", "Honesty", "Dynamism", "Community spirit", "Open-mindedness", "Respectfulness", "Quality inspection", "Process management", "Material testing", "Raw material inspection", "Finished goods inspection", "Costing analysis", "British lifestyle brand", "Quality standards", "Packing specifications", "Leather quality", "Component quality", "Corp Certification" ], "skillCount" : 22, "jobCategory" : "product", "dataQualityScore" : 0.8888889, "_score" : 563.595, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a25254874d8ee00a00e4933", "title" : "Evaluation Provider", "company" : "Brightline", "industry" : "Therapy", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Evaluation Provider in Albany, United States, adjusted for the healthcare industry and company size." }, "location" : "Albany, NY", "locations" : [ "Albany, NY" ], "timestamp" : "2026-06-14T21:26:10.290", "fingerprint" : "32e33e41c39bb9aeb7fb3d175e7f76fb4e91a1492d3e703b40eccb210a89797c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/hellobrightline/2bbff791-04c3-4e85-8ddf-5a28e8fdb1de/application", "externalId" : "2bbff791-04c3-4e85-8ddf-5a28e8fdb1de", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Albany", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.6511674,-73.7549680" } ], "locationText" : "Albany, New York, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "professionalSkills" : [ "Diagnostic evaluation", "Differential diagnosis", "Treatment planning", "Clinical standard setting" ], "hardSkillsList" : [ "Clinical interviews", "Data review", "Diagnostic formulation", "Clinical guidance delivery", "Screening measures integration", "Rating measures integration", "Family feedback sessions" ], "hardSkills" : [ { "name" : "Clinical interviews", "level" : "intermediate" }, { "name" : "Data review", "level" : "intermediate" }, { "name" : "Diagnostic formulation", "level" : "intermediate" }, { "name" : "Clinical guidance delivery", "level" : "intermediate" }, { "name" : "Screening measures integration", "level" : "intermediate" }, { "name" : "Rating measures integration", "level" : "intermediate" }, { "name" : "Family feedback sessions", "level" : "intermediate" } ], "majorSkills" : "Diagnostic evaluations, Pediatric behavioral health, Evidence-based care", "majorSkillsList" : [ "Diagnostic evaluations", "Pediatric behavioral health", "Evidence-based care" ], "coreResponsibilities" : "Conduct in-depth diagnostic evaluations, Integrate screening and rating measures, Deliver family feedback sessions, Provide clear recommendations for ongoing care, Collaborate with multidisciplinary teams, Engage in peer consultation, Participate in continuous professional development, Contribute to development of evaluation service line, Participate in community outreach", "teamCollaboration" : "Multidisciplinary teams", "domainKnowledge" : "Pediatric behavioral health; Evidence-based mental health care; Pediatric concerns", "domainList" : [ "pediatric-behavioral-health", "evidence-based-mental-health-care", "pediatric-concerns" ], "domainSpecificKnowledge" : [ "Pediatric behavioral health", "Evidence-based mental health care", "Pediatric concerns" ], "communicationSkills" : "Family feedback sessions; Clinical guidance delivery", "continuousLearning" : "Professional development reimbursement; Staying updated on empirical advancements", "problemSolvingSkills" : "Differential diagnosis", "outcomesObjectives" : "Shape treatment planning; Improve family outcomes", "qualificationsBasic" : "Master's degree in Psychology, Active, unrestricted license to practice at the masters level in the State of New York, Extensive experience conducting diagnostic evaluations for youth and families, Advanced training in semi-structured diagnostic interviews, Working knowledge of evidence-based interventions for pediatric concerns, Clear understanding of ethical standards of care, Experience providing care virtually, Experience providing care in-person, Ability to maintain up to 30 hours per week for evaluations + feedback", "qualificationsPreferred" : "Bilingual candidates strongly preferred, Spanish-speaking preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Brightline is redefining what pediatric behavioral health care looks like for families across the country — and we’re looking for a mission-driven provider specializing in Evaluations who will bring that vision to life. The Evaluation Provider conducts comprehensive psychological evaluations for youth up to age 18, serving as a specialist resource across the region. If you are as passionate about evidence-based mental health care for kids, teens, and families as we are, we’re looking for you. Why This Role Brightline is expanding its evaluation capacity to meet growing demand across our NY clinics. In this role, you will serve as a dedicated specialist — conducting in-depth diagnostic evaluations that directly shape treatment planning and family outcomes. You’ll collaborate with multidisciplinary teams and help set the clinical standard for evaluation excellence at Brightline. This is a rare opportunity to do high-impact clinical work within an innovative, fast-growing practice that is transforming pediatric mental health care. Responsibilities Diagnostic Evaluation - Conduct in-depth diagnostic evaluations, including clinical interviews, multi-informant data review, and differential diagnosis, to clarify presenting concerns and inform evidence-based care for youth up to age 18 (ongoing care provided by other team members) - Provide clear, evidence-based recommendations for ongoing care in alignment with patient need and Brightline’s program offerings - Integrate screening and rating measures into comprehensive diagnostic formulations - Deliver family feedback sessions with actionable, accessible clinical guidance Collaboration & Development - Collaborate with multidisciplinary teams, engage in peer consultation, and participate in continuous professional development - Contribute to the development and refinement of Brightline’s evaluation and testing service line - Participate in community engagement and outreach opportunities REQUIREMENTS: - Master’s degree in Psychology or other related field - Active, unrestricted license to practice at the masters level in the State of New York - Extensive experience conducting diagnostic evaluations across a variety of presenting concerns for youth and families - Advanced training in semi-structured diagnostic interviews with ability to adapt to varied clinical contexts - Strong working knowledge of evidence-based interventions for common pediatric concerns, enabling clear and actionable diagnostic recommendations - Strong knowledge of current clinical research and commitment to staying updated on the latest empirical advancements - Clear understanding of and deep commitment to ethical standards of care - Experience providing care both in-person and virtually (some evaluations and feedback sessions may be conducted virtually depending on clinical appropriateness and family preference) - Interest and experience thriving in a start-up environment - Bilingual candidates are strongly preferred, particularly Spanish-speaking - Ability to maintain up to 30 hours per week for evaluations + feedback WE OFFER SEVERAL BENEFITS, PERKS, AND STIPENDS: - Medical, Dental, Vision, Long-Term Disability, Life Insurance, Flexible Spending Account, and 401k - 12 Company Holidays + Floating Holidays, Holiday Shutdown, Flexible Time Off, Parental Leave - Health and Wellness Stipend, Home Office Reimbursement and Professional Development Reimbursement - Stock Options At Brightline we have built a total rewards philosophy that includes fair, equitable, competitive, geo-based compensation that is performance and potential based. Our strategy is based on robust market research, including external advisory specializing in national compensation, and thoughtful input from every level of our organization. It is a combination of a cash salary, equity, benefits, wellbeing, and opportunity. In compliance with the Equal Pay for Equal Work Act, the annual base salary range for applicants is $80,000- $105,000. OUR COMMITMENT TO BUILDING A DIVERSE, EQUITABLE, AND INCLUSIVE WORKFORCE At Brightline, we believe that Diversity, Equity, Inclusion, and Belonging are essential to the foundation upon which our mission is built. We are committed to: - building a future where all families can access inclusive, high-quality care - creating an environment that encourages our employees to show up authentically, reach their highest potential, and have an equal opportunity to thrive - systematically evaluating and improving our inherent beliefs, observed behaviors, structures, and systems - ensuring that every employee, candidate, client, and family we serve is valued and respected ABOUT BRIGHTLINE Brightline is a therapy and psychiatry practice that delivers expert pediatric, teen, and parental mental health care to families and kids up to age 18. Brightline’s virtual and in-person outpatient services include diagnostic evaluation, therapy, psychiatry services (e.g. medication management), and psychological testing (to assess learning differences, school readiness, executive functioning difficulties [e.g. ADHD], and autism). In addition to Brightline’s generalized support, we offer focused programs including those that support anxiety, obsessive compulsive disorders, ADHD, and disruptive behaviors. Founded in 2019, Brightline has delivered care to tens of thousands of families with industry-leading results http://brightline.com/employers. We’ve been nationally recognized for clinical excellence and innovation for several years — recent awards include the Fast Company 50 Most Innovative Companies (2022) and Behavioral Health Business Companies to Watch Award (2024). Brightline is based in Palo Alto and is backed by investors including Boston Children’s Hospital, Northwell Health, Blue Cross Blue Shield of Massachusetts, Google Ventures, KKR, and Oak HC/FT.", "summaryDescription" : "Evaluation Provider at Brightline. Skills: Diagnostic evaluations, Pediatric behavioral health, Evidence-based care. Conduct in-depth diagnostic evaluations. Integrate screening and rating measures", "postedDate" : "2026-06-11T16:47:29.756", "createdAt" : "2026-06-11T16:47:29.756", "lastUpdated" : "2026-06-14T21:26:10.290", "ingestTimestamp" : "2026-06-11T16:47:29.756", "mongoId" : "6a25254874d8ee00a00e4933", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 110000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Clinical interviews", "Data review", "Diagnostic formulation", "Clinical guidance delivery", "Screening measures integration", "Rating measures integration", "Family feedback sessions", "Diagnostic evaluations", "Pediatric behavioral health", "Evidence-based care", "Diagnostic evaluation", "Differential diagnosis", "Treatment planning", "Clinical standard setting", "Evidence-based mental health care", "Pediatric concerns" ], "skillCount" : 16, "jobCategory" : "other", "jobSubcategory" : "therapy", "dataQualityScore" : 0.8888889, "_score" : 560.4246, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a2c7ae774d8ee00a094753a", "title" : "Cell Testing Engineer", "company" : "Gotion, Inc.", "salary" : { "min" : 90000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Pleasant Valley, Ohio, United States", "locations" : [ "Pleasant Valley", "Ohio", "United States" ], "timestamp" : "2026-06-16T01:40:06.888", "fingerprint" : "752168eeae3bb0155d5a2489059697b3499db245d41532293ec1efc2c8ec9aba", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gotion/jobs/7263379002", "externalId" : "7263379002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pleasant Valley", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.0646742,-80.6779444" } ], "locationText" : "Pleasant Valley, Ohio, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "rawDescription" : "Gotion Inc. is based in Silicon Valley, CA, currently building a Manufacturing facility in Manteno, IL and has R&D centers in Ohio, China, Japan and Europe. We innovate in the next generation electric vehicle and energy storage technologies (lithium batteries and related systems) with the aim to accelerate electrified transportation and achieve sustainable development. Gotion is powered by a leading power battery technology company that provides solutions for vehicles including the world's first mass commercial e-bus route. Gotion is a career destination - we are not simply attempting to just fill another job, but to pursue a dream of global green energy together! We offer outstanding opportunities to individuals seeking an exciting and challenging working environment. Everyone is highly valued and plays a vital role in the growth of our organization. Gotion seeks a Test Engineer to lead the testing efforts for battery cells and systems developed for key account projects. The Test Engineer will design and execute test plans to evaluate the performance, durability, and safety of battery solutions, ensuring they meet client specifications and industry standards. Essential Duties and Responsibilities: Develop and implement test plans for battery cells, modules, and packs. Operate and maintain battery testing equipment and facilities. Analyze test data, identify performance trends, and report findings to the engineering team. Collaborate with R&D to refine battery designs based on test results. Ensure testing procedures comply with industry standards and safety regulations. Manage documentation and reporting of test processes and outcomes. Required Qualifications: Bachelor’s degree in Electrical Engineering, Mechanical Engineering, or related field. Minimum of 3 years of experience in battery testing or a related field. Experience with battery test equipment and data analysis tools. Knowledge of battery technology and industry testing standards. Strong organizational and analytical skills. Base pay is one part of our total compensation package at Gotion, and is determined within a range. This provides you with the opportunity to progress as you grow and advance your career at Gotion. The base pay range for this role is shown below, and will depend on your skills, qualifications, experiences, and location. Expected Pay Range $90,000—$150,000 USD Gotion Inc. is proud to be an equal opportunity employer. We are dedicated to fostering a diverse workforce that reflects the communities we serve, cultivating a culture of inclusion and belonging, and ensuring equal employment opportunities for all. We provide equal opportunity to all individuals regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related conditions (including breastfeeding), parental status, criminal histories consistent with legal requirements, or any other characteristic protected by law. At Gotion Inc., we strive to create an environment where everyone feels valued, respected, and empowered to thrive.", "summaryDescription" : "Cell Testing Engineer at Gotion, Inc.", "postedDate" : "2026-06-14T20:06:02.004", "createdAt" : "2026-06-14T20:06:02.004", "lastUpdated" : "2026-06-16T01:40:06.888", "ingestTimestamp" : "2026-06-14T20:06:02.004", "mongoId" : "6a2c7ae774d8ee00a094753a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 90000, "salaryAnnualMax" : 150000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 559.8304, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f43f292fd229c057316", "title" : "Clinical Testing Psychologist", "company" : "LifeStance Health", "industry" : "Clinical", "salary" : { "min" : 125000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Issaquah, WA", "locations" : [ "Issaquah, WA" ], "timestamp" : "2026-06-16T11:55:45.617", "fingerprint" : "5996a1ee8fcb0a423454f6a8b139c334d0f5e73daf46823032e40005696dbfcf", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/lifestance/5a44d056-8480-4371-accd-263acfc78238/apply", "externalId" : "5a44d056-8480-4371-accd-263acfc78238", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Issaquah", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.5348778,-122.0432970" } ], "locationText" : "Issaquah, Washington, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description At LifeStance Health, we believe in a truly healthy society where mental and physical healthcare are unified to make lives better. Our mission is to help people lead healthier, more fulfilling lives by improving access to trusted, affordable, and personalized mental healthcare. Everywhere. Every day. It’s a lofty goal; we know. But we make it happen with the best team in behavioral health. Thank you for taking the time to explore a career with us. As the fastest growing behavioral health practice group in the country, now is the perfect time to join our clinical team! We are actively looking to hire talented Clinical Psychologists in the area, who are passionate about patient care and committed to clinical excellence! ## We offer Psychologists Competitive compensation package with uncapped earning potential Comp range of $125,000-$160,000-Compensation model based on productivity. W2 employed position Sign-on bonus Cash based incentive program Comprehensive benefits package 401K with 4% match Part-time and full-time options Mix of testing and therapy role CEUs Paid parental leave Malpractice insurance provided ## Psychologists are a critical part of our clinical team. We’re seeking Psychologists that are Fully licensed or already in the process of licensure in WA state Experienced with caring for children, adolescents or across the lifespan graduated from an APA accredited doctoral program Mix of Therapy and Assessments based role. ## Additional Information To apply for this position please submit a curriculum vitae to Bobby Norman at Bobby.Norman@Lifestance.com I'd be glad to set up a call to discuss this opportunity with you and answer any questions! Thank you, Bobby Norman Director, Practice Development LifeStance Health, Inc. (e) Bobby.Norman@Lifestance.com About LifeStance Health LifeStance is a national provider of mental healthcare services focused on evidenced-based, medically driven treatment services for children, adolescents and adults suffering from a variety of mental health issues in an outpatient care setting, both in-person at its clinics nationwide and through its digital health telemedicine offering. The company employs psychiatrists, psychologists, psychiatric nurse practitioners, and licensed therapists throughout the US. LifeStance Health is an equal opportunity employer. We celebrate diversity and are fully committed to creating an inclusive work environment for all our employees. Our values: Belonging: We cultivate a space where everyone can show up as their authentic self. Empathy: We seek out diverse perspectives and listen to learn without judgment. Courage: We are all accountable for doing the right thing - even when it's hard - because we know it's worth it. One Team: We realize our full potential when we work together towards our shared purpose. If you elect to interact with us via our website, please only use www.lifestance.com or www.careers.lifestance.com. Additionally, our recruiters utilize email addresses with the @lifestance.com domain. Other websites and domains are not affiliated with LifeStance Health and may represent threats to your data security. LifeStance Health complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact our Human Resources Team at ADA@lifestance.com or by calling +1-800-308-0994. Please note: This contact is intended solely for accommodation requests. Inquiries regarding applications, resumes and applicant status should not be sent to this email address as they will not be reviewed or responded to. To apply for a position, please use our official careers page. ", "summaryDescription" : "Clinical Testing Psychologist at LifeStance Health", "postedDate" : "2026-06-15T18:04:21.698", "createdAt" : "2026-06-15T18:04:21.698", "lastUpdated" : "2026-06-16T11:55:45.617", "ingestTimestamp" : "2026-06-16T03:26:14.031", "mongoId" : "6a307f43f292fd229c057316", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 559.74066, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307f43f292fd229c057317", "title" : "Clinical Testing Psychologist", "company" : "LifeStance Health", "industry" : "Clinical", "salary" : { "min" : 125000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Gig Harbor, WA", "locations" : [ "Gig Harbor, WA" ], "timestamp" : "2026-06-16T13:47:24.944", "fingerprint" : "e8ed324e10173aaf1f3bdccc314bf9bfdccf9b126c413bbbac13d4b14412b77c", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/lifestance/65dab6e9-fb26-4648-9fb9-871e95ddd1c5/apply", "externalId" : "65dab6e9-fb26-4648-9fb9-871e95ddd1c5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gig Harbor", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.3259697,-122.5878659" } ], "locationText" : "Gig Harbor, Washington, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description At LifeStance Health, we believe in a truly healthy society where mental and physical healthcare are unified to make lives better. Our mission is to help people lead healthier, more fulfilling lives by improving access to trusted, affordable, and personalized mental healthcare. Everywhere. Every day. It’s a lofty goal; we know. But we make it happen with the best team in behavioral health. Thank you for taking the time to explore a career with us. As the fastest growing behavioral health practice group in the country, now is the perfect time to join our clinical team! We are actively looking to hire talented Clinical Psychologists in the area, who are passionate about patient care and committed to clinical excellence! ## We offer Psychologists Competitive compensation package with uncapped earning potential Comp range of $125,000-$160,000-Compensation model based on productivity. W2 employed position Sign-on bonus Cash based incentive program Comprehensive benefits package 401K with 4% match Part-time and full-time options Mix of testing and therapy role CEUs Paid parental leave Malpractice insurance provided ## Psychologists are a critical part of our clinical team. We’re seeking Psychologists that are Fully licensed or already in the process of licensure in WA state Experienced with caring for children, adolescents or across the lifespan graduated from an APA accredited doctoral program Mix of Therapy and Assessments based role. ## Additional Information To apply for this position please submit a curriculum vitae to Bobby Norman at Bobby.Norman@Lifestance.com I'd be glad to set up a call to discuss this opportunity with you and answer any questions! Thank you, Bobby Norman Director, Practice Development LifeStance Health, Inc. (e) Bobby.Norman@Lifestance.com About LifeStance Health LifeStance is a national provider of mental healthcare services focused on evidenced-based, medically driven treatment services for children, adolescents and adults suffering from a variety of mental health issues in an outpatient care setting, both in-person at its clinics nationwide and through its digital health telemedicine offering. The company employs psychiatrists, psychologists, psychiatric nurse practitioners, and licensed therapists throughout the US. LifeStance Health is an equal opportunity employer. We celebrate diversity and are fully committed to creating an inclusive work environment for all our employees. Our values: Belonging: We cultivate a space where everyone can show up as their authentic self. Empathy: We seek out diverse perspectives and listen to learn without judgment. Courage: We are all accountable for doing the right thing - even when it's hard - because we know it's worth it. One Team: We realize our full potential when we work together towards our shared purpose. If you elect to interact with us via our website, please only use www.lifestance.com or www.careers.lifestance.com. Additionally, our recruiters utilize email addresses with the @lifestance.com domain. Other websites and domains are not affiliated with LifeStance Health and may represent threats to your data security. LifeStance Health complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact our Human Resources Team at ADA@lifestance.com or by calling +1-800-308-0994. Please note: This contact is intended solely for accommodation requests. Inquiries regarding applications, resumes and applicant status should not be sent to this email address as they will not be reviewed or responded to. To apply for a position, please use our official careers page. ", "summaryDescription" : "Clinical Testing Psychologist at LifeStance Health", "postedDate" : "2026-06-15T18:03:54.339", "createdAt" : "2026-06-15T18:03:54.339", "lastUpdated" : "2026-06-16T13:47:24.944", "ingestTimestamp" : "2026-06-16T03:27:36.593", "mongoId" : "6a307f43f292fd229c057317", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 559.7399, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a25254874d8ee00a00e4931", "title" : "Evaluation Provider", "company" : "Brightline", "industry" : "Therapy", "salary" : { "min" : 95000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an Evaluation Provider in New York, adjusted for mid-seniority and the healthcare industry." }, "location" : "Manhattan, NY", "locations" : [ "Manhattan, NY" ], "timestamp" : "2026-06-14T21:23:20.405", "fingerprint" : "016d1fbdd850dfc7297b28c81f3a85aa04cca9e1ebad7db80be5dc14a7a08766", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/hellobrightline/7852657a-0542-4046-b213-2b602fb0ff92/application", "externalId" : "7852657a-0542-4046-b213-2b602fb0ff92", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "professionalSkills" : [ "Diagnostic evaluation", "Differential diagnosis", "Treatment planning", "Clinical formulation" ], "hardSkillsList" : [ "Clinical interviewing", "Data review", "Family feedback" ], "hardSkills" : [ { "name" : "Clinical interviewing", "level" : "intermediate" }, { "name" : "Data review", "level" : "intermediate" }, { "name" : "Family feedback", "level" : "intermediate" } ], "majorSkills" : "Diagnostic evaluations, Pediatric behavioral health, Evidence-based care", "majorSkillsList" : [ "Diagnostic evaluations", "Pediatric behavioral health", "Evidence-based care" ], "coreResponsibilities" : "Conduct diagnostic evaluations, Integrate screening measures, Deliver family feedback sessions, Collaborate with multidisciplinary teams, Engage in peer consultation, Participate in professional development, Contribute to service line development, Participate in community outreach", "teamCollaboration" : "Multidisciplinary teams; Peer consultation", "domainKnowledge" : "Pediatric behavioral health; Youth mental health; Evidence-based mental health", "domainList" : [ "pediatric-behavioral-health", "youth-mental-health", "evidence-based-mental-health" ], "domainSpecificKnowledge" : [ "Pediatric behavioral health", "Youth mental health", "Evidence-based mental health" ], "communicationSkills" : "Family feedback sessions; Clinical guidance", "continuousLearning" : "Continuous professional development; Staying updated on advancements", "problemSolvingSkills" : "Differential diagnosis", "specialRequirements" : "Maintain 30 hours/week", "outcomesObjectives" : "Shape treatment planning; Improve family outcomes", "qualificationsBasic" : "Master's degree in Psychology, Active, unrestricted license in NY, Extensive diagnostic evaluation experience, Advanced semi-structured interview training, Knowledge of evidence-based interventions, Knowledge of current clinical research, Commitment to ethical standards, Experience with in-person care, Experience with virtual care", "qualificationsPreferred" : "Bilingual candidates preferred, Spanish-speaking preferred, Experience thriving in start-up", "workSiteFlexibility" : "Flexible", "rawDescription" : "Brightline is redefining what pediatric behavioral health care looks like for families across the country — and we’re looking for a mission-driven provider specializing in Evaluations who will bring that vision to life. The Evaluation Provider conducts comprehensive psychological evaluations for youth up to age 18, serving as a specialist resource across the region. If you are as passionate about evidence-based mental health care for kids, teens, and families as we are, we’re looking for you. Why This Role Brightline is expanding its evaluation capacity to meet growing demand across our NY clinics. In this role, you will serve as a dedicated specialist — conducting in-depth diagnostic evaluations that directly shape treatment planning and family outcomes. You’ll collaborate with multidisciplinary teams and help set the clinical standard for evaluation excellence at Brightline. This is a rare opportunity to do high-impact clinical work within an innovative, fast-growing practice that is transforming pediatric mental health care. Responsibilities Diagnostic Evaluation - Conduct in-depth diagnostic evaluations, including clinical interviews, multi-informant data review, and differential diagnosis, to clarify presenting concerns and inform evidence-based care for youth up to age 18 (ongoing care provided by other team members) - Provide clear, evidence-based recommendations for ongoing care in alignment with patient need and Brightline’s program offerings - Integrate screening and rating measures into comprehensive diagnostic formulations - Deliver family feedback sessions with actionable, accessible clinical guidance Collaboration & Development - Collaborate with multidisciplinary teams, engage in peer consultation, and participate in continuous professional development - Contribute to the development and refinement of Brightline’s evaluation and testing service line - Participate in community engagement and outreach opportunities REQUIREMENTS: - Master’s degree in Psychology or other related field - Active, unrestricted license to practice at the masters level in the State of New York - Extensive experience conducting diagnostic evaluations across a variety of presenting concerns for youth and families - Advanced training in semi-structured diagnostic interviews with ability to adapt to varied clinical contexts - Strong working knowledge of evidence-based interventions for common pediatric concerns, enabling clear and actionable diagnostic recommendations - Strong knowledge of current clinical research and commitment to staying updated on the latest empirical advancements - Clear understanding of and deep commitment to ethical standards of care - Experience providing care both in-person and virtually (some evaluations and feedback sessions may be conducted virtually depending on clinical appropriateness and family preference) - Interest and experience thriving in a start-up environment - Bilingual candidates are strongly preferred, particularly Spanish-speaking - Ability to maintain up to 30 hours per week for evaluations + feedback WE OFFER SEVERAL BENEFITS, PERKS, AND STIPENDS: - Medical, Dental, Vision, Long-Term Disability, Life Insurance, Flexible Spending Account, and 401k - 12 Company Holidays + Floating Holidays, Holiday Shutdown, Flexible Time Off, Parental Leave - Health and Wellness Stipend, Home Office Reimbursement and Professional Development Reimbursement - Stock Options At Brightline we have built a total rewards philosophy that includes fair, equitable, competitive, geo-based compensation that is performance and potential based. Our strategy is based on robust market research, including external advisory specializing in national compensation, and thoughtful input from every level of our organization. It is a combination of a cash salary, equity, benefits, wellbeing, and opportunity. In compliance with the Equal Pay for Equal Work Act, the annual base salary range for applicants is $80,000- $105,000. OUR COMMITMENT TO BUILDING A DIVERSE, EQUITABLE, AND INCLUSIVE WORKFORCE At Brightline, we believe that Diversity, Equity, Inclusion, and Belonging are essential to the foundation upon which our mission is built. We are committed to: - building a future where all families can access inclusive, high-quality care - creating an environment that encourages our employees to show up authentically, reach their highest potential, and have an equal opportunity to thrive - systematically evaluating and improving our inherent beliefs, observed behaviors, structures, and systems - ensuring that every employee, candidate, client, and family we serve is valued and respected ABOUT BRIGHTLINE Brightline is a therapy and psychiatry practice that delivers expert pediatric, teen, and parental mental health care to families and kids up to age 18. Brightline’s virtual and in-person outpatient services include diagnostic evaluation, therapy, psychiatry services (e.g. medication management), and psychological testing (to assess learning differences, school readiness, executive functioning difficulties [e.g. ADHD], and autism). In addition to Brightline’s generalized support, we offer focused programs including those that support anxiety, obsessive compulsive disorders, ADHD, and disruptive behaviors. Founded in 2019, Brightline has delivered care to tens of thousands of families with industry-leading results http://brightline.com/employers. We’ve been nationally recognized for clinical excellence and innovation for several years — recent awards include the Fast Company 50 Most Innovative Companies (2022) and Behavioral Health Business Companies to Watch Award (2024). Brightline is based in Palo Alto and is backed by investors including Boston Children’s Hospital, Northwell Health, Blue Cross Blue Shield of Massachusetts, Google Ventures, KKR, and Oak HC/FT.", "summaryDescription" : "Evaluation Provider at Brightline. Skills: Diagnostic evaluations, Pediatric behavioral health, Evidence-based care. Conduct diagnostic evaluations. Integrate screening measures", "postedDate" : "2026-06-11T17:39:44.489", "createdAt" : "2026-06-11T17:39:44.489", "lastUpdated" : "2026-06-14T21:23:20.405", "ingestTimestamp" : "2026-06-11T17:39:44.489", "mongoId" : "6a25254874d8ee00a00e4931", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 145000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Clinical interviewing", "Data review", "Family feedback", "Diagnostic evaluations", "Pediatric behavioral health", "Evidence-based care", "Diagnostic evaluation", "Differential diagnosis", "Treatment planning", "Clinical formulation", "Youth mental health", "Evidence-based mental health" ], "skillCount" : 12, "jobCategory" : "other", "jobSubcategory" : "therapy", "dataQualityScore" : 0.8888889, "_score" : 559.4712, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "696082670937eae70e9c8a75", "title" : "Bridge Inspection Spec I-III", "company" : "Texas Department of Transportation", "industry" : "Government", "salary" : { "min" : 45521.0, "max" : 81351.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Beaumont-Beaumont District Headquarters", "locations" : [ "UST-Texas-Beaumont-Beaumont District Headquarters", "Yearly", "Nonexempt,
Beaumont District Headquarters (20DISTHQ)
8350 EASTEX FREEWAY
Beaumont, 77708

, Beaumont District Headquarters" ], "timestamp" : "2026-06-15T09:29:26.734", "fingerprint" : "0e625e229698e466bedc66f6aae898ba48f98388cfe669a9092f2adbcf31c4a7", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=42633", "externalId" : "42633", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beaumont", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.0829344,-94.0984277" } ], "locationText" : "Beaumont, Texas, United States", "employmentType" : "FULL_TIME", "hardSkillsList" : [ "Condition surveys", "QA/QC inspections" ], "hardSkills" : [ { "name" : "Condition surveys", "level" : "intermediate" }, { "name" : "QA/QC inspections", "level" : "intermediate" } ], "majorSkills" : "Bridge inspection", "majorSkillsList" : [ "Bridge inspection" ], "coreResponsibilities" : "Perform routine inspections, Perform special inspections, Conduct condition surveys, Perform QA/QC of inspections, Prepare inspection reports", "teamCollaboration" : "Diverse workforce", "domainKnowledge" : "Bridge Inspection Programs; Federal Highway Administration", "domainList" : [ "bridge-inspection-programs", "federal-highway-administration" ], "domainSpecificKnowledge" : [ "Bridge Inspection Programs", "Federal Highway Administration" ], "documentationSkills" : "Preparation", "outcomesObjectives" : "Ensure safety of traveling public; Preserve financial investment in bridges; Meet FHWA requirements", "qualificationsBasic" : "Bridge Inspection Specialist I, II, or III", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Beaumont District ’s Maintenance Section is looking for a Bridge Inspection Specialist based in Beaumont, TX. This specialist role will help TxDOT ensure the safety of the traveling public, preserve our large financial investment in Texas bridges, meet and exceed the Federal Highway Administration’s requirements for states’ Bridge Inspection Programs. As a District, we have more structures than most states. Responsibilities for this position will include routine inspections, special inspections, condition surveys, QA/QC of inspections and preparation. If you are looking for a career as part of a diverse workforce and you have the technical skills to help progress the program, let’s talk! Title/Grade/Salary: Bridge Inspection Specialist I B18: $45,521 - $71,055/yearly Bridge Inspection Specialist II B19: $48,244 - $76,028/yearly Bridge Inspection Specialist III B20: $51,158 - $81,351/yearly This position is for a Bridge Inspection Specialist I, II, or III. The Texas Department of Transportation reserves the sole right in determining the level of position based on the applicant's work experience, education, skill level, and all other appropriate factors, and based on business needs. 45,521.00 81,351.00", "summaryDescription" : "Bridge Inspection Spec I-III at Texas Department of Transportation. Skills: Bridge inspection. Perform routine inspections. Perform special inspections", "createdAt" : "2026-06-14T07:15:43.230", "lastUpdated" : "2026-06-15T09:29:26.734", "ingestTimestamp" : "2026-06-14T07:15:43.230", "mongoId" : "696082670937eae70e9c8a75", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45521, "salaryAnnualMax" : 81351, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Condition surveys", "QA/QC inspections", "Bridge inspection", "Bridge Inspection Programs", "Federal Highway Administration" ], "skillCount" : 5, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 553.7686, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.92 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 44387, "totalPages" : 888, "hasNext" : true, "hasPrevious" : false } }

Perform Walkthroughs Inspections Product Evaluation And Testing Jobs in Pune

Inspections Helper

Performance Testing Lead

Senior Engineer, Test & Evaluation (R5141)

Performance Test Engineer

Performance Measurement and Evaluation Intern

Monitoring and Evaluation Specialist

Product Test Engineer

Senior Product Manager - Integration Testing & Enablement

Staff Engineer, Test & Evaluation (R5141)

RAG and Evaluation Engineer

Infotainment Testing

Product Test Engineer (Electrical & Firmware)

Product Manager - ServiceTrade Inspection Forms

Senior Product Manager – Testing (Adobe Target A Testing PDM)

Concrete Project Manager - Self Perform Team

QA Engineer, AI Products

Product Safety Engineer

Supervisor of Inspections - Capital Projects

Director, Engineering, Product Experimentation and Evaluations

AI Evaluator

Bridge Inspection Engineer

Product launch / experiment readiness Evaluator

Craftsperson, Inspection

Nondestructive Evaluation (NDE) Engineer

Monitoring, Evaluation and Learning (MEL) Intern

Testing Engineer

Product Test Engineer (OS &Automation)

Eyewear Inspection Technician

Product Manager, Growth

Product Manager, Growth

Performance Test Engineer Lead

Senior Engineer, AV Behavior Evaluation

Trainee, Plumbing Safety Inspection

Applied Scientist (Machine Learning), ITA - Automated Performance Evaluation

Satellite Quality and Test Technician

External Evaluator

Monitoring and Evaluation Manager (M&E)

AI Test Engineer (Generative AI & LLM Focus)

Evaluation Provider

Evaluation Provider

Machine Learning Engineer II - Autonomous Driving Performance Evaluation

Deployment & Testing Lead

Product Quality Engineer & Test Automation

Craftsperson, Inspection

Evaluation Provider

Cell Testing Engineer

Clinical Testing Psychologist

Clinical Testing Psychologist

Evaluation Provider

Bridge Inspection Spec I-III

Common Questions