{ "count" : 41374, "data" : [ { "id" : "6a2c79bd74d8ee00a0942c82", "title" : "Lift Director", "company" : "Holder Construction", "industry" : "Real Estate", "salary" : { "min" : 145000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior Director in the Construction industry in Indianapolis, adjusted for company size and specific role responsibilities." }, "location" : "Mooresville, IN", "locations" : [ "Mooresville", "IN" ], "certifications" : [ "CSP", "CHST", "SMS" ], "timestamp" : "2026-06-15T22:02:52.252", "fingerprint" : "c4bfd9972d51d733cdbc519666f13dca979ea638289809d317026eb3590debc4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/holderconstruction/jobs/4248411009", "externalId" : "4248411009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Indianapolis", "state" : "Indiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7683331,-86.1583502" } ], "locationText" : "Indianapolis, Indiana, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceLevel" : "Director", "technicalSkills" : "Microsoft Office", "professionalSkills" : [ "Safety management", "Hazardous energy control", "Crane management", "Case management", "Injury management" ], "hardSkillsList" : [ "Safety compliance", "OSHA policies" ], "softSkillsList" : [ "Interpersonal skills", "Communication skills" ], "hardSkills" : [ { "name" : "Safety compliance", "level" : "intermediate" }, { "name" : "OSHA policies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Interpersonal skills" }, { "name" : "Communication skills" } ], "majorSkills" : "Construction safety, Safety culture, Risk management", "majorSkillsList" : [ "Construction safety", "Safety culture", "Risk management" ], "coreResponsibilities" : "Lead safety efforts, Manage safety efforts, Collaborate with superintendents, Collaborate with project managers, Collaborate with client safety representatives, Implement industry best practices, Promote safety culture, Prevent serious injuries, Prevent fatalities, Manage trade partners, Ensure safety programs, Provide technical expertise, Manage hazardous energy control, Manage crane lifts, Manage high-risk activities, Ensure safety measures, Manage insurance programs, Assist with case management, Assist with injury management, Track safety data, Analyze safety data, Support safety management, Oversee safety material procurement, Oversee safety equipment procurement, Monitor construction activities, Ensure compliance with OSHA, Ensure compliance with company policies, Coordinate on-site training, Coordinate wellness programs, Coordinate safety initiatives", "teamCollaboration" : "Project superintendents; Project managers; Client safety representatives; Trade partners", "projectManagementSkills" : [ "Plan. 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Safety Culture" ], "domainKnowledge" : "Construction safety; Mission-critical projects; Aviation projects; Complex projects; Hazardous energy control; LOTO; Scaffolding; Crane management; Steel erection; Emergency response; Fall management; Excavation; Confined space; Rigging; Hazardous waste; Erosion control; OSHA", "domainList" : [ "construction-safety", "mission-critical-projects", "aviation-projects", "complex-projects", "hazardous-energy-control", "loto", "scaffolding", "crane-management", "steel-erection", "emergency-response", "fall-management", "excavation", "confined-space", "rigging", "hazardous-waste", "erosion-control", "osha" ], "domainSpecificKnowledge" : [ "Construction safety", "Mission-critical projects", "Aviation projects", "Complex projects", "Hazardous energy control", "LOTO", "Scaffolding", "Crane management", "Steel erection", "Emergency response", "Fall management", "Excavation", "Confined space", "Rigging", "Hazardous waste", "Erosion control", "OSHA" ], "toolProficiency" : [ "Microsoft Word", "Microsoft Excel", "Microsoft PowerPoint" ], "communicationSkills" : "Interpersonal skills; Communication skills", "problemSolvingSkills" : "Identify safety deficiencies; Correct safety deficiencies", "outcomesObjectives" : "Prevent serious injuries; Prevent fatalities", "qualificationsBasic" : "10+ years construction safety experience, Formal safety training, Competency in hazardous energy control, Competency in LOTO, Competency in scaffolding, Competency in crane management, Competency in steel erection, Competency in emergency response, Competency in fall management, Competency in excavation, Competency in confined space, Competency in rigging, Competency in hazardous waste, Competency in erosion control, Ability to identify safety deficiencies, Ability to correct safety deficiencies, Proficiency in Microsoft Office", "qualificationsPreferred" : "Experience with general contractor, Managing large safety teams, Bachelor's degree in Safety Management", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT US Holder Construction is a nationally recognized leader in the construction industry, consistently ranked among the top firms on ENR’s Top 400 Contractors list. We are a performance-driven company that believes in rewarding excellence and investing in our people. Our structured career development program empowers associates to grow quickly into expanded roles and responsibilities based on merit. With operations throughout the United States, we offer a highly competitive compensation and benefits package, including: Annual bonus program Paid time off Health, dental, vision, and life insurance 401(k)-retirement plan Night and swing shift differential pay for select roles About the Role We are looking for a Lift Director to join our Safety team on our project in Indianapolis, IN. This is a full-time, in-person position. Key Responsibilities Lead and manage safety efforts on large-scale mission-critical, aviation, and other complex projects by collaborating with project superintendents, project managers, and client safety representatives to execute Holder’s “Plan. Execute. Learn” Safety Culture. Implement industry best practices to promote a world-class safety culture focused on preventing serious injuries and fatalities (SIFs). Manage and mentor trade partners to ensure robust and effective safety programs on-site. Provide technical expertise to proactively manage hazardous energy control, crane lifts, and other high-risk activities, ensuring appropriate safety measures are in place. Manage site-specific insurance programs and assist with case/injury management. Track and analyze safety data to support proactive safety management. Oversee safety material and equipment procurement to support project needs and Holder self-perform work. Monitor daily construction activities for compliance with OSHA and company policies. Coordinate on-site training, wellness programs, and Holder/client-driven safety initiatives. Qualifications Required: 10+ years of construction safety experience managing complex, large-scale projects (e.g., mission-critical, heavy industrial, oil/gas). Formal safety training and competency in hazardous energy control, LOTO, scaffolding, crane management, steel erection, emergency response, fall management, excavation and confined space, rigging, hazardous waste, and erosion control. Ability to identify and correct safety deficiencies in the field. Excellent interpersonal and communication skills with the ability to interact effectively at all organizational levels. Proficiency in Microsoft Office applications (Word, Excel, PowerPoint) and other technology tools supporting safety efforts. Preferred: Experience with a general contractor and managing large safety teams. Bachelor’s degree in Safety Management or related field. Professional safety certifications (e.g., CSP, CHST, SMS). Holder is committed to Equal Opportunity Employment (EOE). Substance abuse testing and a background screening is a condition of employment and Holder Construction does not sponsor applicants for immigration status or benefits.", "summaryDescription" : "Lift Director at Holder Construction. Skills: Construction safety, Safety culture, Risk management. Lead safety efforts. Manage safety efforts", "postedDate" : "2026-06-14T18:34:47.011", "createdAt" : "2026-06-14T18:34:47.011", "lastUpdated" : "2026-06-15T22:02:52.252", "ingestTimestamp" : "2026-06-14T18:34:47.011", "mongoId" : "6a2c79bd74d8ee00a0942c82", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 215000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Safety compliance", "OSHA policies", "Interpersonal skills", "Communication skills", "Construction safety", "Safety culture", "Risk management", "Safety management", "Hazardous energy control", "Crane management", "Case management", "Injury management", "Plan. 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Implement industry best practices to promote a world-class safety culture. Manage and mentor trade partners to ensure robust and effective safety programs on-site. Provide technical expertise to proactively manage hazardous energy control, crane lifts, and other high-risk activities. Manage site-specific insurance programs and assist with case/injury management. Track and analyze safety data. Oversee safety material and equipment procurement. Monitor daily construction activities for compliance with OSHA and company policies. Coordinate on-site training, wellness programs, and safety initiatives.", "teamCollaboration" : "Collaborating with project superintendents, project managers, and client safety representatives.", "projectManagementSkills" : [ "stakeholder management" ], "toolProficiency" : [ "Microsoft Office, Word, Excel, PowerPoint" ], "communicationSkills" : "interpersonal skills; communication skills", "problemSolvingSkills" : "safety data analysis", "specialRequirements" : "Substance abuse testing and a background screening is a condition of employment. Holder Construction does not sponsor applicants for immigration status or benefits.", "outcomesObjectives" : "Preventing serious injuries and fatalities (SIFs).", "qualificationsBasic" : "10+ years of construction safety experience managing complex, large-scale projects. Formal safety training and competency in hazardous energy control, LOTO, scaffolding, crane management, steel erection, emergency response, fall management, excavation and confined space, rigging, hazardous waste, and erosion control. Ability to identify and correct safety deficiencies in the field. Excellent interpersonal and communication skills with the ability to interact effectively at all organizational levels. Proficiency in Microsoft Office applications (Word, Excel, PowerPoint) and other technology tools supporting safety efforts.", "qualificationsPreferred" : "Experience with a general contractor and managing large safety teams. Bachelor’s degree in Safety Management or related field. Professional safety certifications (e. g. , CSP, CHST, SMS).", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT US Holder Construction is a nationally recognized leader in the construction industry, consistently ranked among the top firms on ENR’s Top 400 Contractors list. We are a performance-driven company that believes in rewarding excellence and investing in our people. Our structured career development program empowers associates to grow quickly into expanded roles and responsibilities based on merit. With operations throughout the United States, we offer a highly competitive compensation and benefits package, including: Annual bonus program Paid time off Health, dental, vision, and life insurance 401(k)-retirement plan Night and swing shift differential pay for select roles About the Role We are looking for a Lift Director to join our Safety team on our project in Hanging, OH. This is a full-time, in-person position. Key Responsibilities Lead and manage safety efforts on large-scale mission-critical, aviation, and other complex projects by collaborating with project superintendents, project managers, and client safety representatives to execute Holder’s “Plan. Execute. Learn” Safety Culture. Implement industry best practices to promote a world-class safety culture focused on preventing serious injuries and fatalities (SIFs). Manage and mentor trade partners to ensure robust and effective safety programs on-site. Provide technical expertise to proactively manage hazardous energy control, crane lifts, and other high-risk activities, ensuring appropriate safety measures are in place. Manage site-specific insurance programs and assist with case/injury management. Track and analyze safety data to support proactive safety management. Oversee safety material and equipment procurement to support project needs and Holder self-perform work. Monitor daily construction activities for compliance with OSHA and company policies. Coordinate on-site training, wellness programs, and Holder/client-driven safety initiatives. Qualifications Required: 10+ years of construction safety experience managing complex, large-scale projects (e.g., mission-critical, heavy industrial, oil/gas). Formal safety training and competency in hazardous energy control, LOTO, scaffolding, crane management, steel erection, emergency response, fall management, excavation and confined space, rigging, hazardous waste, and erosion control. Ability to identify and correct safety deficiencies in the field. Excellent interpersonal and communication skills with the ability to interact effectively at all organizational levels. Proficiency in Microsoft Office applications (Word, Excel, PowerPoint) and other technology tools supporting safety efforts. Preferred: Experience with a general contractor and managing large safety teams. Bachelor’s degree in Safety Management or related field. Professional safety certifications (e.g., CSP, CHST, SMS). Holder is committed to Equal Opportunity Employment (EOE). Substance abuse testing and a background screening is a condition of employment and Holder Construction does not sponsor applicants for immigration status or benefits.", "summaryDescription" : "Lift Director at Holder Construction. Skills: construction safety, crane management, hazardous energy control, OSHA compliance, Microsoft Office. Lead and manage safety efforts on large-scale mission-critical, aviation, and other complex projects. Implement industry best practices to promote a world-class safety culture. Manage and mentor trade partners to ensure robust and effective safety programs on-site. Provide technical expertise to proactively manage hazardous energy control, crane lifts,", "postedDate" : "2026-06-14T19:11:13.504", "createdAt" : "2026-06-14T19:11:13.504", "lastUpdated" : "2026-06-15T13:42:45.840", "ingestTimestamp" : "2026-06-14T19:11:13.504", "mongoId" : "6a2c79bd74d8ee00a0942c79", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "hazardous energy control", "LOTO", "scaffolding", "crane management", "steel erection", "emergency response", "fall management", "excavation", "confined space", "rigging", "hazardous waste", "erosion control", "OSHA compliance", "case/injury management", "site-specific insurance programs", "interpersonal skills, communication skills", "construction safety, crane management, hazardous energy control, OSHA compliance, Microsoft Office", "construction safety, mission-critical projects, aviation projects, heavy industrial, oil/gas, hazardous energy control, LOTO, scaffolding, crane management, steel erection, emergency response, fall management, excavation, confined space, rigging, hazardous waste, erosion control, OSHA, insurance programs, injury management", "stakeholder management", "CSP", "CHST", "SMS", "Microsoft Office, Word, Excel, PowerPoint" ], "skillCount" : 23, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c692474d8ee00a0906355", "title" : "Omnichannel Recommendations - GTM Specialist", "company" : "Constructor", "industry" : "Sales", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Omnichannel Recommendations - GTM Specialist in the United States, adjusted for the e-commerce industry and remote work." }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-16T02:20:26.371", "fingerprint" : "36c52db9ed6fa124bcd5c6475d5ffe91f6b0451af28b91b8ff26d8838870fc75", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/constructor/75d52991-d469-44dc-960b-6dad26f903b9/application", "externalId" : "75d52991-d469-44dc-960b-6dad26f903b9", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT US Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco. We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. ABOUT THE ROLE As we expand our personalization and messaging capabilities, we are looking for a foundational member of our growing team. The Offsite Recommendations Strategist owns the activation, performance, and revenue growth of our AI-powered email recommendations offering. This is a revenue-generating, client-facing role with incentive-based compensation. You will serve as a strategic partner to retail and e-commerce clients, helping them design, launch, and scale high-performing recommendation-driven email programs across promotional, triggered, and lifecycle messaging. From first deployment through long-term expansion, you will guide customers in using intelligent recommendations to drive measurable gains in engagement, conversion, and lifetime value. WHAT YOU’LL DO - Own onboarding and activation for offsite recommendations, partnering with Sales, Account Management, Customer Success, Solutions, and Marketing teams. - Guide clients through ESP integrations, feed setup, and recommendation placement in email templates. - Advise on high-impact email use cases including: - Promotional campaigns - Browse & cart abandonment - Post-purchase and replenishment - Lifecycle and retention programs - Serve as the subject-matter expert on email personalization and recommendations. - Analyze performance and provide data-driven recommendations to improve CTR, conversion, AOV, revenue per send, and LTV. - Own revenue growth across a portfolio of customers through upsell, expansion, and new use cases. - Act as the voice of the customer, influencing product roadmap and go-to-market strategy. REQUIREMENTS - 1-3 years of hands-on email or lifecycle marketing experience, ideally in e-commerce or retail. - 3-5+ years of client-facing experience in sales, account management, customer success, or account strategy - Strong understanding of: - ESPs and email ecosystems - Segmentation, personalization, and lifecycle strategy - Campaign vs. triggered messaging - Testing and performance measurement - Experience working with AI-driven personalization or recommendation systems. - Proven ability to translate data into insights and business impact. - Client-facing experience with a consultative, growth-oriented mindset. - Track record of driving or influencing revenue growth from existing customers. - Excellent communication skills and comfort working with both operators and executives. BENEFITS - \uD83C\uDFDD️ Unlimited vacation time -we strongly encourage all of our employees take at least 3 weeks per year - \uD83D\uDCB0 A competitive compensation package including stock options - \uD83C\uDF0E Fully remote team - choose where you live - \uD83D\uDECB️ Work from home stipend! We want you to have the resources you need to set up your home office - \uD83D\uDCBB Apple laptops provided for new employees - \uD83E\uDDD1‍\uD83C\uDF93 Training and development budget for every employee, refreshed each year - \uD83D\uDC6A Parental leave for qualified employees - \uD83E\uDDE0 Work with smart people who will help you grow and make a meaningful impact DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.", "summaryDescription" : "Omnichannel Recommendations - GTM Specialist at Constructor", "createdAt" : "2026-06-14T20:11:11.615", "lastUpdated" : "2026-06-16T02:20:26.371", "ingestTimestamp" : "2026-06-14T20:11:11.615", "mongoId" : "6a2c692474d8ee00a0906355", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307588f292fd229c0111cd", "title" : "Material Handling Systems Design Engineer", "industry" : "Qualdoc Staffing", "salary" : { "min" : 3900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Ashland, VA", "locations" : [ "Ashland, VA" ], "timestamp" : "2026-06-16T11:22:45.860", "fingerprint" : "274f2e554c836b3e9b97996cc43a0c0c852aff6d471fbcf1aa4fbf966896c3e3", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/qualdoc/92d774f1-f884-4e73-8913-15d5ed33fa61/apply", "externalId" : "92d774f1-f884-4e73-8913-15d5ed33fa61", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ashland", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7594012,-77.4806603" } ], "locationText" : "Ashland, Virginia, United States", "employmentType" : "CONTRACT", "technicalSkills" : "Electrical Engineering, Automation Engineering, CAD, Variable frequency drives, Conductor systems, Relays, Sensors, Limit switches, Control hardware, Motor performance, Motion control", "professionalSkills" : [ "System design", "Equipment commissioning", "Technical problem-solving", "Field support", "Engineering calculations", "Functional testing", "Performance validation", "Diagnostics", "Corrective actions", "Retrofit initiatives", "Reliability enhancement", "Process improvement" ], "hardSkillsList" : [ "Electrical schematics", "Wiring diagrams", "Control-panel layouts", "Engineering documentation", "Electrical codes", "Industry standards" ], "hardSkills" : [ { "name" : "Electrical schematics", "level" : "intermediate" }, { "name" : "Wiring diagrams", "level" : "intermediate" }, { "name" : "Control-panel layouts", "level" : "intermediate" }, { "name" : "Engineering documentation", "level" : "intermediate" }, { "name" : "Electrical codes", "level" : "intermediate" }, { "name" : "Industry standards", "level" : "intermediate" } ], "majorSkills" : "Electrical Systems Design, Overhead Lifting Equipment, Automation Systems", "majorSkillsList" : [ "Electrical Systems Design", "Overhead Lifting Equipment", "Automation Systems" ], "coreResponsibilities" : "Design electrical systems, Produce electrical schematics, Produce wiring diagrams, Produce control-panel layouts, Produce engineering documentation, Specify components, Integrate components, Perform engineering calculations, Incorporate industry standards, Incorporate regulatory requirements, Assist with startup, Assist with commissioning, Configure VFDs, Configure operator interfaces, Configure relays, Configure electrical controls, Test VFDs, Test operator interfaces, Test relays, Test electrical controls, Verify system operation, Support field implementation, Investigate issues, Resolve electrical issues, Resolve controls issues, Support maintenance personnel, Support technical teams, Participate in retrofit initiatives, Participate in modernization projects, Recommend improvements, Ensure designs comply, Ensure modifications comply, Participate in system reviews, Participate in safety assessments, Participate in inspections, Participate in technical evaluations, Maintain drawing revisions, Maintain engineering records, Maintain project documentation, Assist with maintaining configuration records, Assist with maintaining equipment history", "teamCollaboration" : "Multidisciplinary teams; Project managers; Mechanical engineers; Technicians; Operations personnel; Maintenance teams; Production teams", "domainKnowledge" : "Crane classifications; CMAA guidelines; Hoist control systems; Bridge control systems; Trolley control systems; Variable frequency drives; Soft-start technologies; Electrical protection methods; Conductor-bar systems; Festoon assemblies; Radio-control systems; Pendant controls; Collision-avoidance technologies; Sway reduction systems; Load-monitoring solutions; Industrial environments; Overhead lifting equipment; Material-handling systems", "domainList" : [ "crane-classifications", "cmaa-guidelines", "hoist-control-systems", "bridge-control-systems", "trolley-control-systems", "variable-frequency-drives", "soft-start-technologies", "electrical-protection-methods", "conductor-bar-systems", "festoon-assemblies", "radio-control-systems", "pendant-controls", "collision-avoidance-technologies", "sway-reduction-systems", "load-monitoring-solutions", "industrial-environments", "overhead-lifting-equipment", "material-handling-systems" ], "domainSpecificKnowledge" : [ "Crane classifications", "CMAA guidelines", "Hoist control systems", "Bridge control systems", "Trolley control systems", "Variable frequency drives", "Soft-start technologies", "Electrical protection methods", "Conductor-bar systems", "Festoon assemblies", "Radio-control systems", "Pendant controls", "Collision-avoidance technologies", "Sway reduction systems", "Load-monitoring solutions", "Industrial environments", "Overhead lifting equipment", "Material-handling systems" ], "toolProficiency" : [ "CAD software" ], "documentationSkills" : "Engineering documentation; Technical documentation; Drawing revisions; Engineering records; Project documentation; Configuration records; Equipment history", "innovationCreativity" : "Innovative engineering solutions", "problemSolvingSkills" : "Technical problem-solving; Troubleshooting; Root-cause investigation", "specialRequirements" : "Occasional travel, Industrial environments, Elevated work locations", "outcomesObjectives" : "Ensure safe operation; Ensure efficient operation; Ensure compliant operation; Enhance reliability; Enhance uptime; Enhance operational effectiveness; Contribute to reliable system performance; Contribute to effective project execution; Contribute to regulatory compliance; Contribute to continuous improvement", "qualificationsBasic" : "Bachelor's degree in Electrical Engineering, 3-7 years experience crane systems, Understanding of CMAA guidelines, Understanding of hoist, bridge, trolley control, Understanding of VFDs, soft-start technologies, Ability to create electrical schematics, Ability to interpret technical documentation", "qualificationsPreferred" : "Experience supporting crane modernization, Experience with custom lifting-system development, Familiarity with advanced motion-control, Troubleshooting skills, Analytical skills, Root-cause investigation skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Material Handling Systems Design Engineer Location: Ashland, VA (Onsite) Schedule: Monday–Friday | 7:00 AM – 4:00 PM Employment Type: Contract-to-Hire (Potential Conversion After 6 Months) Compensation: Starting at $39.00/hour and higher based on experience and technical qualifications Position Summary We are seeking a skilled engineering professional to support the design, integration, and long-term reliability of electrically powered material-handling systems. This position combines engineering design, equipment commissioning, technical problem-solving, and field support responsibilities for overhead lifting equipment and related automation systems. The successful candidate will contribute to both new equipment development and modernization efforts while collaborating with multidisciplinary teams to ensure safe, efficient, and compliant operation of industrial lifting solutions. ## Key Functions of the Role Engineering & System Development Design electrical systems for overhead lifting applications including bridge cranes, gantry systems, monorails, and workstation lifting equipment Produce electrical schematics, wiring diagrams, control-panel layouts, and engineering documentation using CAD software Specify and integrate components such as variable frequency drives, conductor systems, relays, sensors, limit switches, safety devices, and control hardware Perform engineering calculations related to motor performance, load requirements, equipment sizing, and system operation Incorporate applicable industry standards and regulatory requirements into design solutions Installation Support & Equipment Validation Assist with startup and commissioning activities for newly installed and upgraded systems Configure and test VFDs, operator interfaces, relays, and associated electrical controls Verify system operation through functional testing and performance validation Support field implementation activities to ensure equipment aligns with design intent Technical Troubleshooting & Modernization Investigate and resolve electrical and controls-related issues impacting equipment performance Support maintenance personnel and technical teams with diagnostics and corrective actions Participate in retrofit initiatives and modernization projects involving existing lifting systems Recommend improvements that enhance reliability, uptime, and operational effectiveness Compliance, Safety & Documentation Ensure designs and field modifications comply with electrical codes, industry standards, and internal engineering practices Participate in system reviews, safety assessments, inspections, and technical evaluations Maintain organized drawing revisions, engineering records, and project documentation Assist with maintaining accurate configuration and equipment history records Collaboration & Technical Leadership Coordinate closely with project managers, mechanical engineers, technicians, and operations personnel Provide technical guidance to maintenance and production teams regarding equipment operation and troubleshooting Support initiatives focused on equipment performance, process improvement, and reliability enhancement ## Required Qualifications Bachelor's degree in Electrical Engineering, Mechatronics, Automation Engineering, or a related technical discipline; equivalent industry experience may be considered Three to seven years of experience involving crane systems through engineering, controls, maintenance, commissioning, or equipment design Strong understanding of: Crane classifications and applications in accordance with CMAA guidelines Hoist, bridge, and trolley motor-control systems Variable frequency drives, soft-start technologies, and electrical protection methods Ability to create, review, and interpret electrical schematics and technical documentation Knowledge of conductor-bar systems, festoon assemblies, radio-control systems, pendant controls, and collision-avoidance technologies ## Preferred Experience Experience supporting crane modernization programs or custom lifting-system development Familiarity with advanced motion-control technologies such as sway reduction systems or load-monitoring solutions Strong troubleshooting, analytical, and root-cause investigation skills Comfortable working within industrial environments and elevated work locations when necessary Strong communication and collaboration skills in multidisciplinary project environments ## Work Environment Full-time onsite position within an industrial manufacturing setting Combination of office-based engineering work and hands-on equipment support Occasional travel may be required to support installations, commissioning activities, project coordination, or customer locations ## Additional Information What Success Looks Like This role is ideal for an engineer who enjoys balancing design responsibilities with real-world equipment support. Successful candidates will contribute to reliable system performance, effective project execution, regulatory compliance, and continuous improvement of material-handling operations through innovative engineering solutions.", "summaryDescription" : "Material Handling Systems Design Engineer. Skills: Electrical Systems Design, Overhead Lifting Equipment, Automation Systems. Design electrical systems. Produce electrical schematics", "postedDate" : "2026-06-15T20:36:11.573", "createdAt" : "2026-06-15T20:36:11.573", "lastUpdated" : "2026-06-16T11:22:45.860", "ingestTimestamp" : "2026-06-16T03:24:24.019", "mongoId" : "6a307588f292fd229c0111cd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 8112000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Electrical schematics", "Wiring diagrams", "Control-panel layouts", "Engineering documentation", "Electrical codes", "Industry standards", "Electrical Systems Design", "Overhead Lifting Equipment", "Automation Systems", "System design", "Equipment commissioning", "Technical problem-solving", "Field support", "Engineering calculations", "Functional testing", "Performance validation", "Diagnostics", "Corrective actions", "Retrofit initiatives", "Reliability enhancement", "Process improvement", "Crane classifications", "CMAA guidelines", "Hoist control systems", "Bridge control systems", "Trolley control systems", "Variable frequency drives", "Soft-start technologies", "Electrical protection methods", "Conductor-bar systems", "Festoon assemblies", "Radio-control systems", "Pendant controls", "Collision-avoidance technologies", "Sway reduction systems", "Load-monitoring solutions", "Industrial environments", "Overhead lifting equipment", "Material-handling systems", "CAD software" ], "skillCount" : 40, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307588f292fd229c0111ce", "title" : "Mechanical Design Engineer – Power Systems", "industry" : "Qualdoc Staffing", "salary" : { "min" : 60000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Marietta, OH", "locations" : [ "Marietta, OH" ], "timestamp" : "2026-06-16T12:23:52.607", "fingerprint" : "ee04491b0cd844714e5c19b4cf75466e21fbf104eb82bb1abb590814ee4c263e", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/qualdoc/d83902d0-23e3-4954-81c5-c675754b5435/apply", "externalId" : "d83902d0-23e3-4954-81c5-c675754b5435", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Marietta", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.4167742,-81.4548392" } ], "locationText" : "Marietta, Ohio, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "technicalSkills" : "SolidWorks", "professionalSkills" : [ "Product design", "Design validation", "Product development", "Product enhancement", "Product customization", "Lifecycle management", "Product optimization" ], "hardSkillsList" : [ "Mechanical design", "Engineering documentation", "Design reviews", "Prototype evaluation", "Fabrication support", "Testing support", "Project management", "Sheet metal design", "Manufacturing processes", "Assembly drawings", "Design-for-manufacturability", "Thermal evaluation", "Structural evaluation" ], "hardSkills" : [ { "name" : "Mechanical design", "level" : "intermediate" }, { "name" : "Engineering documentation", "level" : "intermediate" }, { "name" : "Design reviews", "level" : "intermediate" }, { "name" : "Prototype evaluation", "level" : "intermediate" }, { "name" : "Fabrication support", "level" : "intermediate" }, { "name" : "Testing support", "level" : "intermediate" }, { "name" : "Project management", "level" : "intermediate" }, { "name" : "Sheet metal design", "level" : "intermediate" }, { "name" : "Manufacturing processes", "level" : "intermediate" }, { "name" : "Assembly drawings", "level" : "intermediate" }, { "name" : "Design-for-manufacturability", "level" : "intermediate" }, { "name" : "Thermal evaluation", "level" : "intermediate" }, { "name" : "Structural evaluation", "level" : "intermediate" } ], "majorSkills" : "Mechanical design, Power systems, Product development", "majorSkillsList" : [ "Mechanical design", "Power systems", "Product development" ], "coreResponsibilities" : "Create mechanical designs, Maintain mechanical designs, Create engineering documentation, Maintain engineering documentation, Create product specifications, Maintain product specifications, Develop design solutions, Participate in design reviews, Provide technical feedback, Implement design improvements, Design prototypes, Release prototypes, Evaluate prototypes, Support fabrication, Support testing, Drive continuous improvement, Manage engineering projects, Coordinate design activities, Coordinate design deliverables, Collaborate with manufacturing, Collaborate with supply chain, Collaborate with quality, Collaborate with service teams, Support product customization, Support engineering change orders, Support lifecycle management, Support product optimization, Ensure design documentation accuracy, Ensure design documentation completeness, Align design documentation with processes", "teamCollaboration" : "Cross-functional collaboration; Work with manufacturing teams; Work with supply chain teams; Work with quality teams; Work with service teams; Collaborative work environment", "projectManagementSkills" : [ "Manage smaller projects" ], "domainKnowledge" : "Electrical power distribution; Electrical protection equipment; Electrical safety standards; Compliance standards; UL standards; IEC standards; Switchboards; Power distribution units; Power panels; UL 891; UL 508A", "domainList" : [ "electrical-power-distribution", "electrical-protection-equipment", "electrical-safety-standards", "compliance-standards", "ul-standards", "iec-standards", "switchboards", "power-distribution-units", "power-panels", "ul-891", "ul-508a" ], "domainSpecificKnowledge" : [ "Electrical power distribution", "Electrical protection equipment", "Electrical safety standards", "Compliance standards", "UL standards", "IEC standards", "Switchboards", "Power distribution units", "Power panels", "UL 891", "UL 508A" ], "toolProficiency" : [ "SolidWorks", "PLM systems" ], "documentationSkills" : "Engineering documentation; Product specifications; Design documentation; Technical writing", "innovationCreativity" : "Develop innovative design solutions", "problemSolvingSkills" : "Solving complex design challenges; Analytical skills; Problem-solving skills", "outcomesObjectives" : "Deliver high-quality solutions", "qualificationsBasic" : "Bachelor's degree in Mechanical Engineering, 2 years of professional engineering experience, Understanding of mechanical design principles, Understanding of engineering documentation", "qualificationsPreferred" : "Experience designing power distribution products, Experience designing power protection products, Experience designing electrical enclosure products, Working knowledge of UL standards, Working knowledge of IEC standards, 2+ years of experience using SolidWorks, Experience performing thermal evaluations, Experience performing structural evaluations, Familiarity with PLM systems, Knowledge of sheet metal design, Knowledge of manufacturing processes, Knowledge of assembly drawings, Knowledge of design-for-manufacturability, Technical writing experience, Documentation experience, Experience designing test fixtures, Experience supporting product validation, Familiarity with switchboards, Familiarity with power distribution units, Familiarity with power panels, Familiarity with UL 891, Familiarity with UL 508A", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Mechanical Design Engineer – Power Systems Location: Marietta, OH Job Type: Full-Time, Direct Hire Compensation: Starting at $60,000 annually, with higher compensation available based on experience and qualifications. Position Overview We are seeking a Mechanical Design Engineer to support the development, enhancement, and customization of electrical power distribution and protection equipment. This role is responsible for mechanical design activities from concept through production, including prototype development, design validation, documentation, and cross-functional collaboration. The ideal candidate is a hands-on engineer who enjoys solving complex design challenges, improving existing products, and working closely with manufacturing, supply chain, and service teams to deliver high-quality solutions. ## Key Responsibilities Create and maintain mechanical designs, engineering documentation, and product specifications for power distribution and protection equipment. Develop innovative design solutions that meet project objectives, customer requirements, and industry standards. Participate in formal design reviews, provide technical feedback, and implement design improvements. Design, release, and evaluate prototypes while supporting fabrication and testing activities. Drive continuous improvement efforts based on prototype and production feedback. Independently manage smaller engineering projects, coordinating design activities and deliverables. Collaborate with manufacturing, supply chain, quality, and service teams to ensure products meet operational and customer needs. Support product customization initiatives, engineering change orders (ECO/ECN), lifecycle management, and product optimization projects. Ensure design documentation is accurate, complete, and aligned with company processes. ## Required Qualifications Bachelor's degree in Mechanical Engineering or a related engineering discipline. Minimum of 2 years of professional engineering experience in product design, manufacturing, or related fields. Strong understanding of mechanical design principles and engineering documentation. Excellent communication and collaboration skills. Ability to manage multiple priorities in a team-oriented environment. ## Preferred Qualifications Experience designing power distribution, power protection, or electrical enclosure products. Working knowledge of electrical safety and compliance standards, including UL and IEC requirements. At least 2 years of experience using SolidWorks for 3D modeling, assemblies, and mechanical design analysis. Experience performing thermal and structural evaluations of mechanical designs. Familiarity with Product Lifecycle Management (PLM) systems. Knowledge of sheet metal design, manufacturing processes, assembly drawings, and design-for-manufacturability practices. Technical writing and documentation experience. Experience designing test fixtures or supporting product validation activities. Familiarity with switchboards, power distribution units (PDUs), power panels, UL 891, and UL 508A standards is highly desirable. ## What You'll Bring Strong analytical and problem-solving skills. A proactive, solution-oriented mindset. Attention to detail and commitment to engineering quality. Ability to work effectively with cross-functional teams and contribute to a collaborative work environment.", "summaryDescription" : "Mechanical Design Engineer – Power Systems. Skills: Mechanical design, Power systems, Product development. Create mechanical designs. Maintain mechanical designs", "postedDate" : "2026-06-15T20:27:37.539", "createdAt" : "2026-06-15T20:27:37.539", "lastUpdated" : "2026-06-16T12:23:52.607", "ingestTimestamp" : "2026-06-16T03:24:15.225", "mongoId" : "6a307588f292fd229c0111ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Mechanical design", "Engineering documentation", "Design reviews", "Prototype evaluation", "Fabrication support", "Testing support", "Project management", "Sheet metal design", "Manufacturing processes", "Assembly drawings", "Design-for-manufacturability", "Thermal evaluation", "Structural evaluation", "Power systems", "Product development", "Product design", "Design validation", "Product enhancement", "Product customization", "Lifecycle management", "Product optimization", "Manage smaller projects", "Electrical power distribution", "Electrical protection equipment", "Electrical safety standards", "Compliance standards", "UL standards", "IEC standards", "Switchboards", "Power distribution units", "Power panels", "UL 891", "UL 508A", "SolidWorks", "PLM systems" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f6cf292fd229c059136", "title" : "Senior Software Engineer, Recommendations, Search Intelligence", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Software Engineer in Mountain View, CA, adjusted for the technology industry and senior experience level." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]" ], "timestamp" : "2026-06-16T12:39:28.595", "fingerprint" : "479daf96f3cf2c929c7116bc2d6b1b647aa95e7c43996dce6f491b5ee3434f76", "source" : "google", "language" : "en", "externalId" : "115920673452237510", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "summaryDescription" : "Senior Software Engineer, Recommendations, Search Intelligence", "postedDate" : "2026-06-16T01:52:13.924", "createdAt" : "2026-06-16T01:52:13.924", "lastUpdated" : "2026-06-16T12:39:28.595", "ingestTimestamp" : "2026-06-16T01:52:13.924", "mongoId" : "6a307f6cf292fd229c059136", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cf18174d8ee00a0a862bf", "title" : "Graphic Design to UX Design Career Changer Apprenticeship", "company" : "UX Woman", "salary" : { "min" : 18000.0, "max" : 24000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for entry-level UX design apprenticeships in Bulgaria, adjusted for the remote work mode and the technology industry." }, "location" : "Philadelphia, PA", "locations" : [ "Philadelphia", "PA" ], "timestamp" : "2026-06-15T23:30:22.441", "fingerprint" : "50589eebc2a46fe82dcc03ece42ad24a0f7f1994aa7d7410f8980b50c5bfaf2c", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://ux-woman.breezy.hr/p/2e6940970bf5-graphic-design-to-ux-design-career-changer-apprenticeship", "externalId" : "2e6940970bf5", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "majorSkills" : "UX design, UX research", "majorSkillsList" : [ "UX design", "UX research" ], "coreResponsibilities" : "Work through UX design process, Work through UX research process", "domainKnowledge" : "UX design; 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Joom helps consumers to make shopping easy and entertaining and provides access to interesting and unique goods from around the world.Joom is one of the key businesses of Joom Group, an internationa", "summaryDescription" : "Senior Product Analyst (Search & Recommendations) at Joom", "createdAt" : "2026-06-14T18:54:50.851", "lastUpdated" : "2026-06-16T05:02:06.886", "ingestTimestamp" : "2026-06-14T18:54:50.851", "mongoId" : "6a24e6d274d8ee00a0021b17", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "68b706957fc9a711f0f6edc3", "title" : "Applied Scientist - Recommendation Systems", "company" : "Amazon.com Services LLC", "industry" : "Research Science, Applied Science, entertainment", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:13:52.758", "fingerprint" : "a467b39bff2a48349cb889259c050a1e5a70cfbeae1a8b16df601f3024231f29", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3070265/apply", "externalId" : "80fe9c56-025d-4db9-a631-d49759458bce", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Java, C++, C#, SQL, AWS, Azure, GCP, Docker, Kubernetes, Data structures, Algorithms, Relational databases, Cloud computing", "professionalSkills" : [ "Software development", "Data analysis", "Problem solving" ], "hardSkillsList" : [ "Data structures", "Algorithms", "SQL optimization", "System design" ], "hardSkills" : [ { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "SQL optimization", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" } ], "majorSkills" : "Software development, Data engineering, Cloud computing", "majorSkillsList" : [ "Software development", "Data engineering", "Cloud computing" ], "coreResponsibilities" : "Design, develop, and maintain scalable software systems, Write clean, efficient, and well-documented code, Collaborate with cross-functional teams to define and ship, Troubleshoot, debug, and upgrade existing systems, Participate in code reviews to ensure code quality, Contribute to architectural decisions, Optimize application performance, Develop and maintain automated tests", "teamCollaboration" : "Cross-functional teams; Code reviews", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Distributed systems; Scalable systems", "domainList" : [ "distributed-systems", "scalable-systems" ], "domainSpecificKnowledge" : [ "Distributed systems", "Scalable systems" ], "toolProficiency" : [ "Docker", "Kubernetes", "Git" ], "documentationSkills" : "Code documentation", "problemSolvingSkills" : "Troubleshooting; Debugging", "qualificationsBasic" : "5+ years of experience in software development, Bachelor's degree in Computer Science, Engineering, or a related field, Proficiency in at least one programming language such as Python, Java, C++, or C#, Experience with data structures and algorithms, Familiarity with cloud computing platforms (AWS, Azure, GCP), Experience with relational databases and SQL", "qualificationsPreferred" : "Master's degree or PhD in a relevant field, Experience with distributed systems, Experience with machine learning or data science, Familiarity with containerization technologies (Docker, Kubernetes), Experience with CI/CD pipelines", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! Key job responsibilities - Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization methods - Work closely with other scientists, engineers and product managers to expand the depth of our product insights with data, create a variety of experiments to determine the high impact projects to include in planning roadmaps - Stay up-to-date with advancements and the latest modeling techniques in the field - Publish your research findings in top conferences and journals A day in the life We're using advanced approaches such as foundation models to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative & customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external conferences. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist - Recommendation Systems at Amazon.com Services LLC. Skills: Software development, Data engineering, Cloud computing. Design, develop, and maintain scalable software systems. Write clean, efficient, and well-documented code", "postedDate" : "2026-06-13T18:29:07.015", "createdAt" : "2026-06-13T18:29:07.015", "lastUpdated" : "2026-06-15T02:13:52.758", "ingestTimestamp" : "2026-06-13T18:29:07.015", "mongoId" : "68b706957fc9a711f0f6edc3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3070265/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data structures", "Algorithms", "SQL optimization", "System design", "Software development", "Data engineering", "Cloud computing", "Data analysis", "Problem solving", "Agile methodologies", "Distributed systems", "Scalable systems", "Docker", "Kubernetes", "Git" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7c1c74d8ee00a094c589", "title" : "Senior Staff / Manager - Ground Systems Design Concepts and Standardization", "company" : "Zipline", "industry" : "Technology", "salary" : { "min" : 160000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "South San Francisco, California, United States", "locations" : [ "South San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T02:09:41.246", "fingerprint" : "2a1986e7728636dcfe756f0a453a116e2661c7cbc49f0b0efc4aa7b61c81f734", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.zipline.com/careers?gh_jid=7771349003#open-roles", "externalId" : "7771349003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "South San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6535403,-122.4168664" } ], "locationText" : "South San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "About Zipline Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About this role Zipline is looking for a Sr Staff Engineer or Engineering Manager to own and lead the concepts and standardization function for Ground Systems charging-site design. This role will lead a small multidisciplinary team, roughly five to ten people, responsible for defining the basis of design, design templates, pre-engineering decisions, and standard details that allow Zipline to design and deploy sites quickly and consistently. You will oversee civil, structural, electrical, mechanical, and related engineering contributors who solve the repeatable questions before each site reaches execution: what the standard layouts are, what design assumptions hold, what details should be reused, what tradeoffs should be made once instead of rediscovered site by site, and what constraints must be visible before a design manager starts a permit package. You’ll work with partners and leaders across the Operations organization to ensure the site designs facilitate efficient and effective service and maintenance, with the overall goal of a highly available and serviceable site. You’ll work with partners and leaders from the construction, finance and engineering teams to ensure the overall site designs meet or exceed our construction cost and schedule targets. The right leader combines technical depth with systems thinking. You should be able to set engineering direction, create usable design standards, make pragmatic decisions across disciplines, and build a team that turns ambiguous field and product needs into clear design guidance. What you'll do Lead the Design Concepts and Standardization team responsible for the basis of design for Zipline charging sites and related ground infrastructure. Grow, manage and develop a small multidisciplinary team of civil, structural, electrical, and related engineering contributors. Create and maintain standard site layouts, design templates, design guides, standard details, engineering assumptions, and pre-engineered solutions that Design Execution can use repeatedly. Translate product, operations, construction, service, safety, jurisdictional, and cost requirements into clear design standards and decision frameworks. Own the pre-engineering work needed to reduce design cycle time, reduce rework, improve constructability, and make permit and construction packages more predictable. Partner tightly with Design Execution so templates and standards are useful in real projects, not theoretical documents that sit on a shelf. Build feedback loops from Construction, Project Engineering, Service Operations, Launch, and field teams so recurring issues become better standards, not repeated one-off fixes. Define the technical review process for new standards, standard details, site typologies, and major design assumptions. Balance standardization with site flexibility, making clear where Zipline should hold a hard standard and where execution teams should adapt to local constraints. Improve the cost, buildability, safety, maintainability, and speed of Zipline's site designs through better front-end engineering and standard work. What you'll bring 5+ years experience leading multidisciplinary design, engineering standards, basis-of-design, platform engineering, site development, infrastructure engineering, or similar technical functions. Professional degree and experience in civil engineering, structural engineering, electrical engineering, architecture, or a related discipline, with enough breadth to lead across multiple design domains. Experience in EV CHarging, Commercial renewables or other large scale commercial business deploying physical sites and hardware across many metro areas preferred. Experience managing or technically leading small teams, ideally five to ten people, with a mix of direct leadership and technical review responsibility. Strong judgment around repeatable physical infrastructure: site layouts, civil works, foundations, structural systems, electrical interfaces, charging infrastructure, constructability, maintainability, permitting, and cost tradeoffs. Experience creating design standards, templates, playbooks, design guides, drawing packages, engineering assumptions, or other tools used by execution teams. Ability to work across internal teams and external consultants, translating messy requirements into clear technical direction. A practical bias toward standards that make teams faster and better, not process for process's sake. Comfort operating in a fast-moving environment where the system is still evolving and the standard must improve as Zipline learns from real sites. Strong written and verbal communication, especially when explaining technical tradeoffs to design, construction, operations, finance, product, and leadership audiences. What Else You Need to Know The starting cash range for this role is $160,000 - $225,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. 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Alongside engineers; Alongside architects", "domainKnowledge" : "Architecture industry; Design industry; Manufacturing environment", "domainList" : [ "architecture-industry", "design-industry", "manufacturing-environment" ], "domainSpecificKnowledge" : [ "Architecture industry", "Design industry", "Manufacturing environment" ], "toolProficiency" : [ "Rhino", "SolidWorks", "Fusion 360", "CNC machinery" ], "communicationSkills" : "Written communication; Spoken communication", "documentationSkills" : "Production files; Fabrication documentation", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Refining; Iterate", "qualificationsBasic" : "3+ years with CAD software, HBO Bachelor's degree, Work permit and residency in place", "qualificationsPreferred" : "Knowledge of architecture industries, Knowledge of design industries, Interest in leveraging AI systems, Experience in leveraging AI systems, Interest in programming software, Experience in programming software, SolidWorks a plus, Fusion 360 a plus, Autodesk Inventor a plus, OnShape a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Description At NOWN, our multidisciplinary team brings together architects, designers, programmers, engineers, and artists. We're growing fast, with work landing in projects for the likes of Spotify, Microsoft, Adobe, Nike, and Adidas. We're looking for an Industrial Design Engineer who's happiest in the loop of making, testing, and refining — someone who treats a prototype as the fastest way to learn, not the last step before sign-off. This is roughly a 75% computer / 25% making split: most of your time is modelling, programming, and detailing, with a real share spent at the bench building and testing what you've designed. You'll work onsite alongside designers, engineers, and architects, moving products from idea to physical reality and back again until they're right. You'll model it, build it, break it, program the machine that cuts it, and iterate until the detail holds. Responsibilities Take products from concept to working prototype — sketching, modelling, building, testing, repeating Design systems and products in sheet metal, recycled plastic, and novel materials, balancing how they look against how they're made Build prototypes and mock-ups, then put them through their paces to see what actually works Program the CNC machinery and dial in fabrication methods that get the most out of every machine on the floor Create detailed 3D models, production files, bills of materials, and fabrication documentation Source the hardware, tooling, and materials your ideas need Skills A real instinct for prototyping and physical testing — you'd rather build it than only talk about it 3+ years with CAD software such as Rhino, SolidWorks, or Fusion 360 Hands-on familiarity with CNC machinery and designing for a manufacturing environment Knowledge of the architecture or design industries (a big plus) An interest or experience in leveraging AI systems and programming software (a big plus) Exceptional written and spoken English; any other language is a plus Requirements A completed HBO/bachelor's degree in industrial design, product design, engineering, or a related field SolidWorks or Fusion 360 proficiency; Autodesk Inventor and OnShape a plus This is an onsite role — you're based in Amsterdam, or ready to relocate there Work permit and residency already in place — no sponsorship available Benefits and Perks", "summaryDescription" : "Industrial Design Engineer | Architectural Systems at NOWN. Skills: Industrial design, Prototyping, CAD, CNC. Take products from concept to prototype. Design systems in sheet metal", "createdAt" : "2026-06-14T19:42:57.922", "lastUpdated" : "2026-06-15T21:15:39.033", "ingestTimestamp" : "2026-06-14T19:42:57.922", "mongoId" : "6a2c715074d8ee00a092de04", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "CAD software", "CNC machinery", "Manufacturing design", "Industrial design", "Prototyping", "CAD", "CNC", "Physical testing", "Sheet metal design", "Recycled plastic design", "Novel materials design", "Fabrication methods", "Bill of materials", "Architecture industry", "Design industry", "Manufacturing environment", "Rhino", "SolidWorks", "Fusion 360" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30564af292fd229cf26e1d", "title" : "Senior Construction Manager, Design and Construction", "company" : "Amazon Deutschland Services GmbH", "industry" : "Facilities, Maintenance, Real Estate, Real Estate/Facilities, operations", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Construction Manager in Berlin, Germany, adjusted for seniority and company size within the e-commerce industry." }, "location" : "Berlin, Berlin, DEU", "locations" : [ "Berlin, Berlin, DEU" ], "timestamp" : "2026-06-16T06:16:46.672", "fingerprint" : "9606b03f69682fe7e29c7f2f0ca689a2b582093b92287ad608822aeabe68f12c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10443348/apply", "externalId" : "64ee4297-5cc8-4a1b-a0db-e3b4b4f2fdde", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "state" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5033790,13.3386522" } ], "locationText" : "Berlin, Berlin, Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Project management", "Construction engineering", "Portfolio management", "Quality control", "Capital asset planning" ], "hardSkillsList" : [ "Construction management", "Design management", "Engineering oversight", "Budget management", "Permitting strategies" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Construction management", "level" : "intermediate" }, { "name" : "Design management", "level" : "intermediate" }, { "name" : "Engineering oversight", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" }, { "name" : "Permitting strategies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Construction execution, Program delivery, Stakeholder management", "majorSkillsList" : [ "Construction execution", "Program delivery", "Stakeholder management" ], "coreResponsibilities" : "Lead construction programs, Develop project strategies, Drive design management, Provide engineering oversight, Execute project strategies, Allocate resources, Manage program budgets, Approve spend, Manage external partner relationships, Establish quality control systems, Establish standardized processes, Lead solution design development, Direct permitting strategies, Oversee capital asset planning, Establish relationships with authorities, Establish relationships with stakeholders, Influence construction standards, Influence best practices, Mentor construction managers, Mentor project teams, Make strategic decisions", "teamCollaboration" : "Cross-functional teams; Multiple locations; Diverse teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Construction execution; Delivery stations; Fulfillment centers", "domainList" : [ "construction-execution", "delivery-stations", "fulfillment-centers" ], "domainSpecificKnowledge" : [ "Construction execution", "Delivery stations", "Fulfillment centers" ], "specialRequirements" : "50% travel, Travel domestically, Travel to EMEA countries", "outcomesObjectives" : "Deliver high-quality construction projects", "qualificationsBasic" : "Experience managing a team, Experience in commercial TI design and construction, Experience in construction quality systems, Proficient user in English (C1), Proficient user in local language", "qualificationsPreferred" : "Experience managing cool chains, Experience managing refrigeration equipment, Experience managing temperature-controlled environments, French language proficiency, German language proficiency, Polish language proficiency, Arabic language proficiency, Portuguese language proficiency, Turkish language proficiency, Chinese (Mandarin) language proficiency, Afrikaans language proficiency, Zulu language proficiency", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join our Construction Execution team as a Senior Construction Manager where you will lead strategic, complex construction projects that shape Amazon's infrastructure future. You will oversee critical construction programs from conception to completion, with a focus on delivery stations and fulfillment centers across EMEA. This role combines construction engineering, project management, and leadership skills to drive successful program delivery. Working with diverse teams across multiple locations, you'll be responsible for developing project strategies, managing portfolios, influencing organizational standards, and delivering high-quality construction projects that meet Amazon's expanding needs. Would you like an opportunity to travel and work in multiple EU countries and cultures? The role will be based in Germany with 50% of time traveling either domestically within the country or to other EMEA countries. Key job responsibilities • Lead and develop strategies for complex construction programs from conception to completion • Drive design management and engineering oversight with strategic precision • Develop and execute project strategies with optimal resource allocation across multiple projects • Manage program budgets, spend approvals, and strategic external partner relationships • Establish and maintain rigorous quality control systems and standardized processes • Lead complex solution design development and direct permitting strategies across multiple regions • Oversee capital asset planning and establish strategic relationships with authorities and key stakeholders • Influence organizational construction standards and best practices • Mentor construction managers and project teams • Make strategic decisions that impact regional construction delivery A day in the life Your day is a dynamic blend of strategic planning and leadership. You'll collaborate with cross-functional teams, mentor project professionals, and navigate complex construction challenges across multiple countries. From morning program reviews to on-site inspections and stakeholder negotiations, every day brings new opportunities to make a significant organizational impact. Basic Qualifications: - Experience managing a team - Experience in all aspects of the commercial TI design and construction process - Experience in management of construction quality systems - Proficient user in English (C1) and local language Preferred Qualifications: - Experience in managing cool chains, refrigeration equipment and installations, temperature-controlled environments are considered a strong plus - French, German, Polish, Arabic, Portuguese, Turkish, Chinese (Mandarin), Afrikaans and Zulu are considered preferred qualifications. 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. m/w/d Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Senior Construction Manager, Design and Construction at Amazon Deutschland Services GmbH. Skills: Construction execution, Program delivery, Stakeholder management. Lead construction programs. Develop project strategies", "postedDate" : "2026-06-15T21:57:42.313", "createdAt" : "2026-06-15T21:57:42.313", "lastUpdated" : "2026-06-16T06:16:46.672", "ingestTimestamp" : "2026-06-15T21:57:42.313", "mongoId" : "6a30564af292fd229cf26e1d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10443348/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Construction management", "Design management", "Engineering oversight", "Budget management", "Permitting strategies", "Leadership", "Mentoring", "Construction execution", "Program delivery", "Stakeholder management", "Project management", "Construction engineering", "Portfolio management", "Quality control", "Capital asset planning", "Delivery stations", "Fulfillment centers" ], "skillCount" : 17, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c920874d8ee00a0984a65", "title" : "SPMT Critical Lift Technician (Starship)", "company" : "SpaceX", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior SPMT Critical Lift Technician in Brownsville, TX, adjusted for the aerospace industry and company size." }, "location" : "Brownsville, TX, United States", "locations" : [ "Brownsville", "TX", "United States" ], "timestamp" : "2026-06-16T04:31:06.612", "fingerprint" : "82316ec57921eb87e1e244b4fd917a60bfbd48aa7ec21bd89ccaf1b945d22a2f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/spacex/jobs/8589648002?gh_jid=8589648002", "externalId" : "8589648002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brownsville", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "25.9024289,-97.4981698" } ], "locationText" : "Brownsville, Texas, United States", "minimumEducation" : "High School", "experienceMinYears" : 1, "technicalSkills" : "Mechanical principles", "professionalSkills" : [ "Technical documentation", "Team environment" ], "hardSkillsList" : [ "Mechanical principles" ], "hardSkills" : [ { "name" : "Mechanical principles", "level" : "intermediate" } ], "majorSkills" : "Critical lift planning", "majorSkillsList" : [ "Critical lift planning" ], "coreResponsibilities" : "Operate SPMT equipment safely, Perform pre-operational checks, Execute critical lift plans, Monitor lift operations, Communicate with operations team, Document lift activities, Adhere to safety protocols, Assist with equipment maintenance", "teamCollaboration" : "Operations team", "projectManagementSkills" : [ "Lift planning" ], "domainKnowledge" : "Aerospace manufacturing; Critical lift planning", "domainList" : [ "aerospace-manufacturing", "critical-lift-planning" ], "domainSpecificKnowledge" : [ "Aerospace manufacturing", "Critical lift planning" ], "toolProficiency" : [ "SPMT equipment" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Lift documentation", "problemSolvingSkills" : "Troubleshooting equipment", "specialRequirements" : "Flexible hours, Weekend work", "qualificationsBasic" : "High School diploma or equivalent, 1+ years of experience in a relevant field, Ability to read and interpret technical documents, Basic understanding of mechanical principles, Ability to work in a team environment, Ability to work flexible hours and weekends", "qualificationsPreferred" : "Experience with SPMT equipment, Familiarity with aerospace manufacturing processes, Experience with critical lift planning", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. CRITICAL LIFT TECHNICIAN (STARSHIP) RESPONSIBILITIES: Responsible for Booster/Ship and associated ground support equipment (GSE) movement across multiple launch sites Perform preventative maintenance on mobile cranes, cranes, and SPMTs Work with a team of technicians and engineers to ensure systems and equipment are maintained with the highest level of quality to support current and future manifest Utilize heavy machinery (standard and high capacity forklifts, telehandlers, mobile hydraulic/crawler cranes, SPMTs, high reach man lifts, overhead cranes) to lift and move flight hardware and associated GSE after delivery and before shipping Evaluate in-transit risks and provide on-site solutions to alleviate risk. Including routing, repairs, escorts, and drivers – including physical escorts across launch sites Make recommendations to logistics management to improve the health, timing, and safety of all movements Work with a team of technicians and engineers to ensure systems and mechanical equipment are built with the highest level of quality to support the successful launch of our multi-million dollar launch vehicle Troubleshoot operational issues found on the vehicle press system Maintain and install fluid system components from a schematic or drawing including ball and check valves, pressure regulators and gauges, etc. Set up, inspect, operate, and perform maintenance on hydraulic self-propelled modular transporters, hydraulic booms and crawler cranes Perform tear down and assembly of different configurations associated with Cranes and SPMTs BASIC QUALIFICATIONS: High school diploma or equivalency certificate 1+ years of experience on a critical lift team or a logistics/transport team PREFERRED SKILLS AND EXPERIENCE: 2+ years of experience with SPMT operators and/or hydraulic lift trailers 2+ years of with mobile hydraulic and/or crawler cranes for delicate lifting operations (ex. Wind farms, power plants, oil refineries) and 2+ years of experience in rigging NCCCO/NCCER certifications in crane, rigging, ironworking, and heavy equipment operations (ex. TLL, TSS, LAT, OVR, RIG-I/II, SGP) Ability to read and interpret engineering work instructions/drawings and verify that the given load, securing method, transport, and loading/unloading processes are carried out successfully and in accordance with transport or lift plan Experience with organization and ability to multi-task, detail-oriented while also working within time constraints and deadlines Associate degree in aerospace technology or equivalent area of study Experience maintaining and troubleshooting complex fluid and mechanical systems Familiarity with calibrated measurement devices including load cells, multimeters, calipers, torque wrenches, depth gauges, and micrometers ADDITIONAL REQUIREMENTS: Must be available to work extended hours and weekends, which varies depending on site operational needs; flexibility required (day shift: 6 AM - 6 PM and night shift: 6 PM - 6 AM) Ability to pass Airforce background check for Cape Canaveral and Vandenberg Able to tilt, dip, and turn suspended loads to maneuver over, under, and/or around obstacles using multi-point rigging techniques Flexibility to travel 25-50% of the time Valid Driver’s license Stand: Up to 10 hours per day Sit: Up to 6 hours per day Push/Pull: Up to 75lbs. (unassisted) 1-2 hours per day Overhead reach: Up to 6 hours per day Walk: Up to 10 hours per day Lift/Carry: Up to 50lbs. (unassisted) 1-2 hours per day Climb (ladder/stairs): Up to 6 hours per day Kneel/Crouch: Up to 6 hours per day Upper body twist: Up to 6 hours per day Ability to work in temperatures over 80 degrees: up to 3 hours per day Candidate must be capable of safely working at heights (up to 500ft), in confined spaces, using an air purifying respirator, and performing the physical requirements of the job listed in the job description. Candidate may be required to complete a pre-employment questionnaire and/or physical to confirm these capabilities, which may include a medical history review ITAR REQUIREMENTS: To conform to U. S. Government export regulations, applicant must be a (i) U. S. citizen or national, (ii) U. S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S. C. § 1157, or (iv) Asylee under 8 U.S. C. § 1158, or be eligible to obtain the required authorizations from the U. S. Department of State. Learn more about the ITAR here. SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. Applicants wishing to view a copy of SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.", "summaryDescription" : "SPMT Critical Lift Technician (Starship) at SpaceX. Skills: Critical lift planning. Operate SPMT equipment safely. Perform pre-operational checks", "postedDate" : "2026-06-14T20:12:40.934", "createdAt" : "2026-06-14T20:12:40.934", "lastUpdated" : "2026-06-16T04:31:06.612", "ingestTimestamp" : "2026-06-14T20:12:40.934", "mongoId" : "6a2c920874d8ee00a0984a65", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Mechanical principles", "Critical lift planning", "Technical documentation", "Team environment", "Lift planning", "Aerospace manufacturing", "SPMT equipment" ], "skillCount" : 7, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5dd29bc74574cb66e0bd", "title" : "Creative Marketing Specialist (Lift)", "company" : "Lift", "industry" : "Technology", "salary" : { "min" : 600000.0, "max" : 900000.0, "currency" : "UAH", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Creative Marketing Specialist in Kyiv, Ukraine, adjusted for the technology industry." }, "location" : "Kyiv, UA", "locations" : [ "Kyiv", "UA" ], "timestamp" : "2026-06-15T09:27:54.480", "fingerprint" : "edef34b85e4adf657035336b05dacbb74174ab1602c009ba94d7d7ce176bdfde", "source" : "breezyhr", "language" : "uk", "applyUrl" : "https://gen-tech.breezy.hr/p/f1927eb7b163-creative-marketing-specialist-lift", "externalId" : "f1927eb7b163", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kyiv", "country" : "Ukraine", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.4500336,30.5241361" } ], "locationText" : "Kyiv, Ukraine", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Manage brand strategy, Drive customer acquisition, Manage campaigns, Track growth metrics", "remoteFriendly" : false, "rawDescription" : "Привіт! Ми — українська продуктова ІТ-компанія Lift, що спеціалізується на розробці mobile first продуктів для контент-креаторів. Бізнес заснований у 2020 році й за його розвитком стоїть команда в понад 40 людей. Наш головний продукт — мобільний фото/відеоредактор, однойменний застосунок Lift. Його", "summaryDescription" : "Creative Marketing Specialist (Lift) at Lift. Manage brand strategy. Drive customer acquisition", "createdAt" : "2026-06-14T06:47:41.252", "lastUpdated" : "2026-06-15T09:27:54.480", "ingestTimestamp" : "2026-06-14T06:47:41.252", "mongoId" : "69ce5dd29bc74574cb66e0bd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306b15f292fd229cfcf412", "title" : "Senior Manager Artificial Intelligence & Data", "company" : "Deloitte", "industry" : "Accounting", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Manager Artificial Intelligence & Data in Amsterdam, Netherlands, adjusted for Deloitte's company size and the retail industry." }, "location" : "Amsterdam, NH, Netherlands", "locations" : [ "Amsterdam", "NH", "Netherlands" ], "timestamp" : "2026-06-16T12:31:40.740", "fingerprint" : "af8e6dc3224d0d8d4070be4c3e30ea5b664fceea08a669a6a185f934809964e2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/DeloitteNetherlands/744000132233163-senior-manager-artificial-intelligence-data-consumer", "externalId" : "744000132233163", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AI, Data Science, Data Management, Data Analytics, Azure, AWS, Databricks, Agentic AI", "professionalSkills" : [ "Programme leadership", "Business development", "Strategic insight", "Client relationship management" ], "hardSkillsList" : [ "AI strategy", "Data management", "AI implementation", "Revenue growth management", "Supply chain optimisation", "Consumer intelligence" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "AI strategy", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "AI implementation", "level" : "intermediate" }, { "name" : "Revenue growth management", "level" : "intermediate" }, { "name" : "Supply chain optimisation", "level" : "intermediate" }, { "name" : "Consumer intelligence", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "AI Strategy, Data Management, Agentic AI, Retail/CPG", "majorSkillsList" : [ "AI Strategy", "Data Management", "Agentic AI", "Retail/CPG" ], "coreResponsibilities" : "Lead multidisciplinary teams, Advise senior stakeholders on AI strategy, Advise senior stakeholders on data management, Advise senior stakeholders on Agentic AI implementation, Accelerate the AI transition in CPG and retail, Drive business development, Deliver scalable Data/AI solutions, Deliver sustainable Data/AI solutions, Deliver solutions across revenue growth management, Deliver solutions across supply chain optimisation, Deliver solutions across sustainability, Deliver solutions across consumer intelligence, Combine strategic insight with hands-on programme leadership, Act as a recognised CPG & Retail authority, Shape the future of the consumer business, Lead AI strategy, Lead Agentic AI implementation, Lead enterprise data management, Fast-track clients’ AI transition, Deliver solutions across revenue growth management, Deliver solutions across supply-chain optimisation, Deliver solutions across sustainability, Deliver solutions across consumer intelligence, Head cross-functional teams across Deloitte, Provide hands-on leadership for complex transformation programmes, Serve as a key advisor to senior client, Drive business development to win strategic accounts, Build scalable solutions, Build sustainable solutions, Realise client ambitions", "teamCollaboration" : "Multidisciplinary teams; Cross-functional teams", "projectManagementSkills" : [ "Programme leadership", "Transformation programmes" ], "domainKnowledge" : "CPG market; Retail market; Consumer business; Agentic AI; Revenue growth management; Supply chain optimisation; Sustainability; Consumer intelligence", "domainList" : [ "cpg-market", "retail-market", "consumer-business", "agentic-ai", "revenue-growth-management", "supply-chain-optimisation", "sustainability", "consumer-intelligence" ], "domainSpecificKnowledge" : [ "CPG market", "Retail market", "Consumer business", "Agentic AI", "Revenue growth management", "Supply chain optimisation", "Sustainability", "Consumer intelligence" ], "communicationSkills" : "English communication", "innovationCreativity" : "Digital innovation", "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Accelerate AI transition; Accelerate AI adoption; Fast-track clients’ AI transition; Realise client ambitions", "qualificationsBasic" : "Master's degree in computer science, mathematics, business analytics, data science, AI or other STEM related, 6–10 years of relevant experience in consulting and the Retail/CPG industry, In-depth knowledge of the Retail/CPG market and technological trends, In-depth knowledge of AI, Data Science, Data Management, and Data Analytics, Knowledge of major AI/Data platforms such as Azure, AWS and Databricks, Excellent relationship builder, Ability to be a trusted guide for clients, Experience with commercial processes and closing contracts, Excellent analytical skills, Excellent interpersonal skills, Excellent communication skills in English", "qualificationsPreferred" : "Network within the Retail/CPG sector, Dutch language proficiency", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Lead multidisciplinary teams and advise senior stakeholders on AI strategy, data management and Agentic AI implementation to accelerate the AI transition in CPG and retail. Drive business development and deliver scalable, sustainable Data/AI solutions across revenue growth management, supply chain optimisation, sustainability and consumer intelligence, combining strategic insight with hands‑on programme leadership. * Trusted sector expert: Act as a recognised CPG & Retail authority, shaping the future of the consumer business through Agentic AI, data and digital innovation. * Accelerate AI adoption: Lead AI strategy, Agentic AI implementation and enterprise data management to fast‑track clients’ AI transition. * Tackle core industry challenges: Deliver solutions across revenue growth management, supply‑chain optimisation, sustainability and consumer intelligence. * Lead multidisciplinary delivery: Head cross‑functional teams across Deloitte, providing hands‑on leadership for complex transformation programmes. * Advise and grow client relationships: Serve as a key advisor to senior client stakeholders and drive business development to win strategic accounts. * Build scalable, sustainable solutions: Combine strategic insight with execution to deliver innovative, scalable Data/AI solutions that realise client ambitions. ## Qualifications As a Senior Manager, we expect you to have: * A Master’s degree in computer science, mathematics, business analytics, data science, AI or other STEM related. * 6–10 years of relevant experience in consulting and the Retail/CPG industry. * In-depth knowledge of the Retail/CPG market and technological trends. * In-depth knowledge of AI, Data Science, Data Management, and Data Analytics. * Knowledge of major AI/Data platforms such as Azure, AWS and Databricks. * A strong network within the Retail/CPG sector. * Excellent relationship builder and have the ability to be a trusted guide for our clients in challenging times. * Experience with commercial processes and closing contracts. * Excellent analytical, interpersonal, and communication skills in English (and preferably Dutch). ## Additional Information As a Senior Manager within our AI & Data team, with a focus on CPG and Retail (Consumer Business), you are a trusted expert in the sector. You play a pivotal role in accelerating the AI transition and shaping the future of the consumer business by leveraging Agentic AI, data, and digital innovation. You will work on some of the most complex and impactful challenges at the core of the industry, including AI Strategy, Data Management and Agentic AI implementation. Your engagements span across critical topics such as revenue growth management, supply chain optimization, sustainability and consumer intelligence. With a dedicated focus on Retail/CPG you will lead multidisciplinary teams across Deloitte, act as a key advisor to senior client stakeholders and drive business development. You combine strategic insight with hands on leadership of transformation programs and strong relationship management to help clients realize their ambitions. Together with your team, you deliver innovative, scalable, and sustainable Data/AI solutions that contribute directly to the future of consumer business.", "summaryDescription" : "Senior Manager Artificial Intelligence & Data at Deloitte. Skills: AI Strategy, Data Management, Agentic AI, Retail/CPG. Lead multidisciplinary teams. Advise senior stakeholders on AI strategy", "postedDate" : "2026-06-15T15:27:10.000", "createdAt" : "2026-06-16T00:27:17.792", "lastUpdated" : "2026-06-16T12:31:40.740", "ingestTimestamp" : "2026-06-16T00:27:17.792", "mongoId" : "6a306b15f292fd229cfcf412", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "AI strategy", "Data management", "AI implementation", "Revenue growth management", "Supply chain optimisation", "Consumer intelligence", "Leadership", "AI Strategy", "Data Management", "Agentic AI", "Retail/CPG", "Programme leadership", "Business development", "Strategic insight", "Client relationship management", "Transformation programmes", "CPG market", "Retail market", "Consumer business", "Sustainability" ], "skillCount" : 20, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d81bb74d8ee00a0c11735", "title" : "Design Release Engineer – Air Induction and Exhaust Systems", "company" : "General Motors", "salary" : { "min" : 75000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Design Release Engineer in Warren, MI, adjusted for the automotive industry and a large company size." }, "location" : "Warren, Michigan, United States of America", "locations" : [ "Warren, Michigan, United States of America" ], "timestamp" : "2026-06-16T05:58:50.142", "fingerprint" : "a22083a7d7436f918d100d36c2a95a17ddefc08ad392e86c09e0af845185f015", "source" : "workday", "language" : "en", "applyUrl" : "https://generalmotors.wd5.myworkdayjobs.com/Careers_GM/job/Warren-Michigan-United-States-of-America/Design-Release-Engineer---Air-Induction-and-Exhaust-Systems_JR-202609505", "externalId" : "JR-202609505", "industryFunction" : { }, "locationPoint" : "50.13171,-97.54738", "structuredLocations" : [ { "city" : "Warren", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.4932575,-83.0062746" } ], "locationText" : "Warren, Michigan, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "**Job Description** **At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.** **Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.** **The Role** General Motors is seeking a driven Air Induction and Exhaust System Design Release Engineer to lead the development, integration, and production launch of advanced air induction and exhaust systems for next-generation vehicle programs. This role combines technical expertise, program leadership, and supplier management to deliver high-performance components and systems that meet rigorous safety, quality, and timing standards. You will guide your product development team through the full Vehicle Development Process, from defining requirements to designing and releasing a complex air induction and/or exhaust subsystem into production. Responsibilities include utilizing engineering tools and processes to develop robust, manufacturable components and systems, while driving milestone achievement through disciplined and proactive program management. You’ll coach and lead suppliers to ensure flawless execution of deliverables, and apply a high level of independent judgment, creativity, and initiative to solve complex challenges and continuously improve product quality and performance. **What You 'll Do (Responsibilities)** * Lead the Product Development Team (PDT) for air induction and/or exhaust systems. * Manage the design, release, and integration of air induction and exhaust systems into GM vehicles with precision and timeliness. * Oversee pre-production builds, ensuring properties are shipped test-ready and aligned with program milestones. * Drive completion of Design Validation using analytical tools such as FEA, modal analysis, and virtual builds. * Identify root causes of design issues and implement effective solutions. * Define and develop technical specifications including CTS, SSTS, SOR, and ICD documents. * Refine design criteria and typical sections using math data to support robust engineering decisions. * Conduct trade off studies and recommend program direction based on cost, mass, and timing. * Lead and support technical reviews with suppliers and internal teams. * Coordinate cross-functional activities with purchasing, manufacturing, and supplier quality teams. * Monitor warranty data and address emerging product issues. * Translate lessons learned into best practices and contribute to continuous improvement. * Stay current with emerging technologies and identify opportunities for innovation. * Communicate effectively with internal and external stakeholders to ensure alignment and transparency. **Your Skills & Abilities (Required Qualifications)** * Bachelor’s degree in Engineering. * 2+ years of relevant engineering experience. * Strong grasp of engineering theory, design principles, and system integration. * High analytical aptitude for solving complex, non-routine problems. * Strong interpersonal skills for effective team and supplier engagement. * Familiarity with manufacturing processes and engineering operations. * Familiarity with CAD and CAE tools. * Understanding of Specification and Release systems. **What Will Give You a Competitive Edge (Preferred Qualifications)** * Prior experience in air induction and/or exhaust systems design, release, development, or analysis. * DFSS (Design for Six Sigma) Certification. #LI-KM2 GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.The selected candidate will be required to travel <25% for this role.This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.This position requires the ability to legally operate a motor vehicle on a regular basis. A company vehicle will only be provided for this role by passing the Motor Vehicle Report review. **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting [**Total Rewards resources**](https://search-careers.gm.com/en/working-at-gm/total-rewards). **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit [**How we Hire**](https://search-careers.gm.com/en/how-we-hire). **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, [**email**](mailto:Careers.Accommodations@GM.com)**** us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.", "summaryDescription" : "Design Release Engineer – Air Induction and Exhaust Systems at General Motors", "postedDate" : "2026-06-13T20:01:59.710", "createdAt" : "2026-06-14T20:01:59.691", "lastUpdated" : "2026-06-16T05:58:50.142", "ingestTimestamp" : "2026-06-14T20:01:59.691", "mongoId" : "6a2d81bb74d8ee00a0c11735", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://generalmotors.wd5.myworkdayjobs.com/Careers_GM/job/Warren-Michigan-United-States-of-America/Design-Release-Engineer---Air-Induction-and-Exhaust-Systems_JR-202609505", "salaryAnnualMin" : 75000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "mid", "dataQualityScore" : 0.7777778, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306b15f292fd229cfcf413", "title" : "Senior Manager Artificial Intelligence & Data", "company" : "Deloitte", "industry" : "Accounting", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Manager Artificial Intelligence & Data in Amsterdam, Netherlands, adjusted for Deloitte's company size and the retail industry." }, "location" : "Amsterdam, NH, Netherlands", "locations" : [ "Amsterdam", "NH", "Netherlands" ], "timestamp" : "2026-06-16T08:42:10.784", "fingerprint" : "1bbc545feb858fcd1135b71fa267b7bf1ddd140f307ac55f384001bb64483898", "source" : "smartrecruiters", "language" : "en", "applyUrl" : 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optimisation", "Sustainability", "Consumer intelligence" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "AI strategy", "level" : "intermediate" }, { "name" : "Data strategy", "level" : "intermediate" }, { "name" : "AI implementation", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "Agentic AI implementation", "level" : "intermediate" }, { "name" : "Revenue growth management", "level" : "intermediate" }, { "name" : "Supply chain optimisation", "level" : "intermediate" }, { "name" : "Sustainability", "level" : "intermediate" }, { "name" : "Consumer intelligence", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "AI Strategy, Data Management, Agentic AI", "majorSkillsList" : [ "AI Strategy", "Data Management", "Agentic AI" ], "coreResponsibilities" : "Lead multidisciplinary teams, Advise senior stakeholders on AI strategy, Advise senior stakeholders on data management, Advise senior stakeholders on Agentic AI implementation, Accelerate the AI transition in CPG and retail, Drive business development, Deliver scalable Data/AI solutions, Deliver sustainable Data/AI solutions, Deliver solutions across revenue growth management, Deliver solutions across supply chain optimisation, Deliver solutions across sustainability, Deliver solutions across consumer intelligence, Combine strategic insight with hands-on programme leadership, Act as a recognised CPG & Retail authority, Shape the future of consumer business, Leverage Agentic AI, Leverage data, Leverage digital innovation, Fast-track clients’ AI transition, Tackle core industry challenges, Deliver solutions across revenue growth management, Deliver solutions across supply-chain optimisation, Deliver solutions across sustainability, Deliver solutions across consumer intelligence, Head cross-functional teams across Deloitte, Provide hands-on leadership for complex transformation programmes, Serve as a key advisor to senior client, Drive business development to win strategic accounts, Build scalable solutions, Build sustainable solutions, Realise client ambitions", "teamCollaboration" : "Multidisciplinary teams; Cross-functional teams", "projectManagementSkills" : [ "Programme leadership" ], "domainKnowledge" : "CPG market; Retail market; Consumer business; Agentic AI", "domainList" : [ "cpg-market", "retail-market", "consumer-business", "agentic-ai" ], "domainSpecificKnowledge" : [ "CPG market", "Retail market", "Consumer business", "Agentic AI" ], "communicationSkills" : "English communication; Dutch communication", "innovationCreativity" : "Digital innovation", "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Accelerate AI transition; Accelerate AI adoption; Realise client ambitions", "qualificationsBasic" : "Master's degree in computer science, mathematics, business analytics, data science, AI or other STEM related, 6–10 years of relevant experience in consulting and the Retail/CPG industry, In-depth knowledge of the Retail/CPG market and technological trends, In-depth knowledge of AI, Data Science, Data Management, and Data Analytics, Knowledge of major AI/Data platforms such as Azure, AWS and Databricks, Excellent relationship builder, Ability to be a trusted guide for clients, Experience with commercial processes, Experience closing contracts, Excellent analytical skills, Excellent interpersonal skills, Excellent communication skills in English, Excellent communication skills in Dutch", "qualificationsPreferred" : "Network within the Retail/CPG sector", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Lead multidisciplinary teams and advise senior stakeholders on AI strategy, data management and Agentic AI implementation to accelerate the AI transition in CPG and retail. Drive business development and deliver scalable, sustainable Data/AI solutions across revenue growth management, supply chain optimisation, sustainability and consumer intelligence, combining strategic insight with hands‑on programme leadership. * Trusted sector expert: Act as a recognised CPG & Retail authority, shaping the future of the consumer business through Agentic AI, data and digital innovation. * Accelerate AI adoption: Lead AI strategy, Agentic AI implementation and enterprise data management to fast‑track clients’ AI transition. * Tackle core industry challenges: Deliver solutions across revenue growth management, supply‑chain optimisation, sustainability and consumer intelligence. * Lead multidisciplinary delivery: Head cross‑functional teams across Deloitte, providing hands‑on leadership for complex transformation programmes. * Advise and grow client relationships: Serve as a key advisor to senior client stakeholders and drive business development to win strategic accounts. * Build scalable, sustainable solutions: Combine strategic insight with execution to deliver innovative, scalable Data/AI solutions that realise client ambitions. ## Qualifications As a Senior Manager, we expect you to have: * A Master’s degree in computer science, mathematics, business analytics, data science, AI or other STEM related. * 6–10 years of relevant experience in consulting and the Retail/CPG industry. * In-depth knowledge of the Retail/CPG market and technological trends. * In-depth knowledge of AI, Data Science, Data Management, and Data Analytics. * Knowledge of major AI/Data platforms such as Azure, AWS and Databricks. * A strong network within the Retail/CPG sector. * Excellent relationship builder and have the ability to be a trusted guide for our clients in challenging times. * Experience with commercial processes and closing contracts. * Excellent analytical, interpersonal, and communication skills in English (and preferably Dutch). ## Additional Information As a Senior Manager within our AI & Data team, with a focus on CPG and Retail (Consumer Business), you are a trusted expert in the sector. You play a pivotal role in accelerating the AI transition and shaping the future of the consumer business by leveraging Agentic AI, data, and digital innovation. You will work on some of the most complex and impactful challenges at the core of the industry, including AI Strategy, Data Management and Agentic AI implementation. Your engagements span across critical topics such as revenue growth management, supply chain optimization, sustainability and consumer intelligence. With a dedicated focus on Retail/CPG you will lead multidisciplinary teams across Deloitte, act as a key advisor to senior client stakeholders and drive business development. You combine strategic insight with hands on leadership of transformation programs and strong relationship management to help clients realize their ambitions. Together with your team, you deliver innovative, scalable, and sustainable Data/AI solutions that contribute directly to the future of consumer business.", "summaryDescription" : "Senior Manager Artificial Intelligence & Data at Deloitte. Skills: AI Strategy, Data Management, Agentic AI. Lead multidisciplinary teams. 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"llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "69fa31584c40e2acd15a9227", "title" : "Water Systems Design Engineer", "company" : "Amazon EU SARL (UK Branch)", "industry" : "Operations, IT, Support Engineering, Data Center Infrastructure Eng, Cloud Computing", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Water Systems Design Engineer in London, adjusted for the technology industry and large company size." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T03:43:32.634", "fingerprint" : "f727ceb817e11384ccaa12fd352a6794d77158c0e07204b170c4a3351b17e030", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10411564/apply", "externalId" : "c6fb8187-e0e2-4a44-858a-c3e4c6d92a1c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "technicalSkills" : "Water chemistry, Water treatment, Water quality, Hydronic systems", "professionalSkills" : [ "Data center design", "Building systems", "Design engineering", "Construction", "Operations", "Maintenance", "Risk management", "Value engineering", "Code compliance", "Water supply evaluation", "Submittal review", "Mechanical system space", "Utility coordination" ], "hardSkillsList" : [ "Water chemistry", "Water treatment", "Water quality", "Hydronic systems design", "Design standards", "Project approaches", "Code requirements", "Water treatment advice", "Water supply analysis", "Construction specifications" ], "hardSkills" : [ { "name" : "Water chemistry", "level" : "intermediate" }, { "name" : "Water treatment", "level" : "intermediate" }, { "name" : "Water quality", "level" : "intermediate" }, { "name" : "Hydronic systems design", "level" : "intermediate" }, { "name" : "Design standards", "level" : "intermediate" }, { "name" : "Project approaches", "level" : "intermediate" }, { "name" : "Code requirements", "level" : "intermediate" }, { "name" : "Water treatment advice", "level" : "intermediate" }, { "name" : "Water supply analysis", "level" : "intermediate" }, { "name" : "Construction specifications", "level" : "intermediate" } ], "majorSkills" : "Water systems design, Data center design, Water treatment, Global infrastructure", "majorSkillsList" : [ "Water systems design", "Data center design", "Water treatment", "Global infrastructure" ], "coreResponsibilities" : "Influence water chemistry and treatment, Coordinate with design engineering colleagues, Coordinate with construction, Coordinate with operations, Coordinate with maintenance, Define water treatment features, Design water treatment features, Detail water treatment features, Document water treatment features, Ensure water treatment features protect people, Contribute expertise to water system design standards, Drive improvement of design standards, Drive improvement of project approaches, Review concept designs, Review designs in progress, Ensure designs meet standards, Ensure designs meet code requirements, Ensure designs meet AHJ requirements, Provide water treatment advice, Achieve alignment of water treatment systems objectives, Coordinate with commissioning teams, Answer requests for information, Answer value engineering queries, Ensure code compliance, Ensure design standards, Ensure installation standards, Evaluate water supply, Assess water supply, Review testing, Review inspections, Review submittals, Meet with AHJs, Perform project-related work, Oversee project-related work, Analyze water supply for buildings, Design water supply for buildings, Coordinate with utilities, Coordinate with internal water teams, Establish basic site infrastructure requirements, Coordinate mechanical system space requirements, Coordinate supporting utilities, Coordinate equipment locations, Provide detailed construction specifications, Prepare detailed designs for hydronic systems, Review all design disciplines, Ensure designs meet code requirements, Oversee design work, Review design work, Perform design work, Ensure contractors have information, Ensure operations teams are equipped, Work with internal stakeholders, Work with external stakeholders, Work with design engineering, Work with construction, Work with commissioning, Work with operations, Work with vendors, Work with service providers, Work with local building officials, Work with local fire officials", "teamCollaboration" : "Design engineering colleagues; Construction teams; Operations teams; Maintenance teams; Global Mechanical engineering teams; Commissioning teams; Risk management teams; Internal teams; External teams; Internal stakeholders; External stakeholders; Design engineering; Construction; Commissioning; Operations; Vendors; Service providers; Local building officials; Local fire officials; Global team", "domainKnowledge" : "Mission critical facilities; Data centers; Power generation; Oil and gas facilities; Water chemistry; Water treatment; Water quality; Building codes; Design standards; Water systems", "domainList" : [ "mission-critical-facilities", "data-centers", "power-generation", "oil-and-gas-facilities", "water-chemistry", "water-treatment", "water-quality", "building-codes", "design-standards", "water-systems" ], "domainSpecificKnowledge" : [ "Mission critical facilities", "Data centers", "Power generation", "Oil and gas facilities", "Water chemistry", "Water treatment", "Water quality", "Building codes", "Design standards", "Water systems" ], "documentationSkills" : "Construction drawings; Specifications; Submittal documents", "innovationCreativity" : "Next-generation data center design; Innovative water solutions", "problemSolvingSkills" : "Value engineering queries", "specialRequirements" : "Up to 25% travel", "outcomesObjectives" : "Protect our people; Keep customer data safe; Ensure uninterrupted data access; Continual improvement of water system design standards", "qualificationsBasic" : "Bachelor's degree in Electrical Engineering or related field, Experience in industrial or commercial engineering in mission critical facilities, Experience researching new designs, technologies, and construction methods of data center equipment and facilities, Experience in commissioning, Experience and knowledge of water chemistry, treatment and quality", "qualificationsPreferred" : "Experience with building codes and regulations, Experience carrying design concepts through exploration, development, and into deployment, Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Elevate Global Infrastructure Through Innovative Water Solutions Do you dream of working in a role where your talent with water chemistry, treatment and quality and next-generation data center design can be merged? Do you want to expand your current knowledge of building systems while providing input from your previous experience? Have you ever wondered what it is like to be able to influence construction on a global scale? YES! Then keep reading…. In this role you will influence water chemistry and treatment, coordinating with design engineering colleagues, construction, operations, and maintenance for our global fleet of data centers. This includes on site and large campus water systems. You will work with internal and external teams to define, design, detail, and document the various water treatment features that our facilities require, using both prescriptive and performance-based design approaches. As an Owner, you will strive to ensure the water treatment features of our buildings protect our people and keep our customer’s data safe and uninterrupted over the life of the building. We expect you to contribute your expertise to the continual improvement of our water system design standards. The Organization AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities • Driving improvement of design standards and project approaches across the organization. • Work with third party design vendors to review concept designs and designs in progress to ensure they meet established design standards, local code requirements, and any other requirements of the Authorities Having Jurisdiction (AHJs). • Be responsible for providing high quality water treatment advice on a wide variety of projects globally while working with global Mechanical engineering teams to achieve alignment of water treatment systems objectives. • Coordinating with construction, commissioning, and risk management teams to answer requests for information and value engineering queries. • Be responsible for code compliance, design and installation standards, water supply evaluation and assessment, testing, inspections, and submittal review. Meet with AHJs as needed to ensure approval of water treatement features. • This position will require up to 25% travel. A day in the life Primary responsibilities will be to perform and oversee project-related work, such as water supply analysis and design for buildings, including coordination with utilities and internal water teams to establish basic site infrastructure requirements. The ability to coordinate mechanical system space requirements, supporting utilities, and equipment locations, and to provide detailed construction specifications for water treatment systems. You will typically be responsible for the preparation of detailed designs for hydronic systems. You will review all design disciplines to ensure they meet the code requirements described in our design standards. In some cases, you will oversee and review this work and in other cases you will perform the work yourself. As the team’s subject matter expert, you will ensure that contractors have the information they need to build our data centers the way we expect them to, and that our operations teams are well equipped to operate and maintain them as needed to meet our goals. As part of this role you will work with internal and external stakeholders, including design engineering, construction, commissioning, operations, vendors, and other service providers, as well as local building and fire officials. You will be part of a global team, and you will be an integral part of our work to change the world through technology. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Basic Qualifications: - Bachelor's degree in Electrical Engineering or a related field - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - Experience researching new designs, technologies, and construction methods of data center equipment and facilities - Experience in commissioning - Experience and knowledge of water chemistry, treatment and quality Preferred Qualifications: - Experience with building codes and regulations for your region - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents 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" : "Water Systems Design Engineer at Amazon EU SARL (UK Branch). Skills: Water systems design, Data center design, Water treatment, Global infrastructure. Influence water chemistry and treatment. Coordinate with design engineering colleagues", "postedDate" : "2026-06-13T14:57:15.308", "createdAt" : "2026-06-13T14:57:15.308", "lastUpdated" : "2026-06-15T03:43:32.634", "ingestTimestamp" : "2026-06-13T14:57:15.308", "mongoId" : "69fa31584c40e2acd15a9227", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10411564/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Water chemistry", "Water treatment", "Water quality", "Hydronic systems design", "Design standards", "Project approaches", "Code requirements", "Water treatment advice", "Water supply analysis", "Construction specifications", "Water systems design", "Data center design", "Global infrastructure", "Building systems", "Design engineering", "Construction", "Operations", "Maintenance", "Risk management", "Value engineering", "Code compliance", "Water supply evaluation", "Submittal review", "Mechanical system space", "Utility coordination", "Mission critical facilities", "Data centers", "Power generation", "Oil and gas facilities", "Building codes", "Water systems" ], "skillCount" : 31, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Data Centre" }, { "id" : "6a2cf18174d8ee00a0a862c2", "title" : "Healthcare to UX Design Career Changer Apprenticeship", "company" : "UX Woman", "industry" : "Healthcare", "salary" : { "min" : 14000.0, "max" : 21000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Entry-level internship compensation in Bulgaria, adjusted for the tech industry and remote work." }, "location" : "Philadelphia, PA", "locations" : [ "Philadelphia", "PA" ], "timestamp" : "2026-06-16T01:45:52.539", "fingerprint" : "099ff97344f8c4070de8c8a558936f30822b5bff3fd184fd229d703714377887", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://ux-woman.breezy.hr/p/1f25411ad19a-healthcare-to-ux-design-career-changer-apprenticeship", "externalId" : "1f25411ad19a", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "INTERNSHIP", "majorSkills" : "UX design, UX research", "majorSkillsList" : [ "UX design", "UX research" ], "coreResponsibilities" : "Work through UX design process, Work through UX research process", "domainKnowledge" : "UX design; UX research", "domainList" : [ "ux-design", "ux-research" ], "domainSpecificKnowledge" : [ "UX design", "UX research" ], "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About the Program: Every year, we sponsor 2 remote UX apprentices from anywhere in the world to join us for 7 months, either in the fall or spring seasons or online. Our UX apprentices work through the end-to-end UX design and UX research process for a startup idea of their choice that will help th", "summaryDescription" : "Healthcare to UX Design Career Changer Apprenticeship at UX Woman. Skills: UX design, UX research. Work through UX design process. Work through UX research process", "createdAt" : "2026-06-14T19:43:41.043", "lastUpdated" : "2026-06-16T01:45:52.539", "ingestTimestamp" : "2026-06-14T19:43:41.043", "mongoId" : "6a2cf18174d8ee00a0a862c2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "UX design", "UX research" ], "skillCount" : 2, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cd71e74d8ee00a0a40551", "title" : "Staff Product Designer, Design Systems", "company" : "Hinge Health", "industry" : "RnD", "salary" : { "min" : 195000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco-HQ", "locations" : [ "San Francisco-HQ" ], "timestamp" : "2026-06-15T13:19:32.661", "fingerprint" : "f71fc658ce9dd0fd444aa875b71f16d37c02df2c545aa923012e7f4788536920", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/hinge-health/a30e2a1e-c3cb-4717-a840-9c03305ffbd1/application", "externalId" : "a30e2a1e-c3cb-4717-a840-9c03305ffbd1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "technicalSkills" : "Figma", "professionalSkills" : [ "System design", "Product design", "Design systems" ], "hardSkillsList" : [ "Component architecture", "System governance", "Contribution models", "Adoption strategies" ], "softSkillsList" : [ "Mentoring", "Leadership" ], "hardSkills" : [ { "name" : "Component architecture", "level" : "intermediate" }, { "name" : "System governance", "level" : "intermediate" }, { "name" : "Contribution models", "level" : "intermediate" }, { "name" : "Adoption strategies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Leadership" } ], "majorSkills" : "Design Systems, Product Design, System Architecture", "majorSkillsList" : [ "Design Systems", "Product Design", "System Architecture" ], "coreResponsibilities" : "Own the Design System, Lead vision, strategy, roadmap, Define core components, Evolve core patterns, Define interaction standards, Support wide range surfaces, Collaborate with engineers, Influence code-level decisions, Shape tooling, Shape Storybook usage, Shape contribution workflows, Set Standards & Governance, Partner with feature teams, Help teams navigate patterns, Decide global standard, Establish contribution models, Establish review processes, Establish decision-making frameworks, Act as domain owner, Provide guidance, Sign-off system decisions, Document principles, patterns, rationale, Raise bar design quality, Identify inconsistencies, Identify duplication, Identify fragmentation, Drive systematic improvements, Balance speed with craft, Advocate system-level thinking", "teamCollaboration" : "Tight-knit team; Collaborative team; Cross-functional teams; Feature teams; Platform engineers; Product, design, engineering", "projectManagementSkills" : [ "Roadmap" ], "domainKnowledge" : "Joint health; Muscle health; MSK care; Agentic coding; AI workflows", "domainList" : [ "joint-health", "muscle-health", "msk-care", "agentic-coding", "ai-workflows" ], "domainSpecificKnowledge" : [ "Joint health", "Muscle health", "MSK care", "Agentic coding", "AI workflows" ], "toolProficiency" : [ "Figma", "Storybook", "Claude Code" ], "communicationSkills" : "Influence senior stakeholders; Align teams; Document rationale", "documentationSkills" : "Document principles; Document patterns; Document rationale", "problemSolvingSkills" : "Identify inconsistencies; Identify duplication; Identify fragmentation; Drive systematic improvements", "outcomesObjectives" : "Ensure cohesive user experience; Sustain momentum; Shape future of care; Ensure system supports surfaces; System is easy to use; System is easy maintain; Decisions scale beyond individuals", "qualificationsBasic" : "4-6+ years product design experience, Deep ownership of design system, High-impact design systems portfolio, Leadership across complex systems, Highly effective communicator, Influence senior stakeholders, Align teams around design, Demonstrated success mentoring designers, Elevating team output quality, Deep fluency tokens, Component architecture fluency, Variants fluency, Figma systems craft fluency, Experience with Claude Code, Experience with agentic coding tools, Experience with MCPs, Experience with AI workflows, Opinions on system governance, Opinions on contribution models, Opinions on adoption strategies, Experience partnering platform engineers, Implementation parity cadence, Release cadence experience", "qualificationsPreferred" : "Experience with AI workflows", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT THE ROLE Hinge Health is a company that recognizes the value of design – as a Staff Product Designer on our Design System team, you’ll join a tight-knit, collaborative team who cares deeply about creating cohesive and intuitive product experiences. Our team is at the center of solving impactful problems for millions of members who are managing their joint and muscle health, and making a meaningful difference in their lives. In this role, you’ll directly shape the future of our Design System, focused on creating and evolving shared patterns and components to ensure a cohesive user experience across Hinge Health’s product suite. You’ll define not just what the system is, but how it evolves, how decisions get made, and how consistency and flexibility are balanced as Hinge Health ships rapidly. This is a high-impact role, at an especially exciting time in Hinge Health’s journey. As we scale with 51% year-over-year revenue gains and a member base expanding by over 47% annually, this role will be instrumental in sustaining our momentum and shaping the future of care. Learn more about Design at Hinge Health https://www.figma.com/deck/BYY49LPUPyASiHzuv0ifkw?desktop-link-click-timestamp=1780670549990&desktop-ul-exp-bucket=po. WHAT YOU'LL ACCOMPLISH Own the Design System - Lead the vision, strategy, and roadmap for Hinge Health’s design system. - Define and evolve core components, patterns, tokens, and interaction standards used across the product. - Ensure the system supports a wide range of surfaces, from core product UI to Agent flows, enterprise templates, and integrated design systems. Partner Deeply with Engineering - Collaborate closely with engineers on implementation details, tradeoffs, and system architecture. - Influence code-level decisions that affect system consistency and adoption. - Help shape tooling, Storybook usage, and contribution workflows so the system is easy to use and maintain. Set Standards & Governance - Partner with feature teams through office hours and design reviews. You will help teams navigate patterns the system doesn't yet cover and decide when a design should become a global standard or remain a local solution. - Establish clear contribution models, review processes, and decision-making frameworks for system changes. - Act as a design system “domain owner,” providing guidance and sign-off on system-level decisions. - Document principles, patterns, and rationale so decisions scale beyond individuals. Raise the Bar for Design Quality - Identify inconsistencies, duplication, and fragmentation across the product and drive systematic improvements. - Balance speed with craft, knowing when to be opinionated and when to enable flexibility. - Advocate for system-level thinking across product, design, and engineering. BASIC QUALIFICATIONS - At minimum, 4-6+ years of product design experience, with deep ownership of a design system at scale. - A standout portfolio showcasing high-impact design systems work and leadership across complex systems initiatives. - Highly effective communicator with the ability to influence senior stakeholders and align teams around design direction. - Demonstrated success mentoring designers and elevating the quality of team output. - Deep fluency with tokens, component architecture, variants, and Figma systems craft. - Experience with Claude Code (or other agentic coding tools), MCPs, and other AI workflows. - Strong opinions on system governance, contribution models, and adoption strategies. - Experience partnering with platform engineers on implementation, parity, and release cadence. ABOUT HINGE HEALTH Hinge Health leverages software, including AI, to largely automate care for joint and muscle health, delivering an outstanding member experience, improved member outcomes, and cost reductions for its clients. The company has designed its platform to address a broad spectrum of MSK care—from acute injury, to chronic pain, to post-surgical rehabilitation—and the platform can help to ease members’ pain, improve their function, and reduce their need for surgeries, all while driving health equity by allowing members to engage in their exercise therapy sessions from anywhere. The company is headquartered in San Francisco, California. HINGE HEALTH HYBRID MODEL We believe remote and in-person work each have real strengths, and we aim to get the best of both. Employees in hybrid roles are expected to work from the San Francisco office 3 days per week for the full 8 hours of a typical business day. WHAT YOU'LL LOVE ABOUT US - Participation in our Employee Stock Purchase Plan (ESPP), allowing you to acquire company stock via payroll at a 15% discount against the lower market price. - Comprehensive and inclusive medical coverage and benefit programs for you and your dependents. - Flexible retirement savings through Traditional or Roth 401(k) investment paths. - Dedicated lifestyle stipends designed to fuel your professional growth and continuous learning. CULTURE AND ENGAGEMENT Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We consider qualified applicants regardless of criminal history, consistent with legal requirements, and provide reasonable accommodations for candidates with disabilities. By submitting an application, candidates acknowledge that their personal data will be handled according to the personnel and candidate privacy policy. Beware of Phishing Attempts: We've noticed an increase in phishing where fraudsters impersonate employees and send fake job offers to steal sensitive information. We'll never ask for financial details during the hiring process and only use \"@hingehealth.com http://hingehealth.com\" emails. If you receive a suspicious offer, stop communication and report it to the US FBI Internet Crime Complaint Center. To verify an email from our recruiting team, forward it to security@hingehealth.com https://app.ashbyhq.com/admin/organizational-settings/theme#.", "summaryDescription" : "Staff Product Designer, Design Systems at Hinge Health. Skills: Design Systems, Product Design, System Architecture. Own the Design System. Lead vision, strategy, roadmap", "createdAt" : "2026-06-14T04:49:08.968", "lastUpdated" : "2026-06-15T13:19:32.661", "ingestTimestamp" : "2026-06-14T04:49:08.968", "mongoId" : "6a2cd71e74d8ee00a0a40551", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 195000, "salaryAnnualMax" : 275000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Component architecture", "System governance", "Contribution models", "Adoption strategies", "Mentoring", "Leadership", "Design Systems", "Product Design", "System Architecture", "System design", "Product design", "Design systems", "Roadmap", "Joint health", "Muscle health", "MSK care", "Agentic coding", "AI workflows", "Figma", "Storybook", "Claude Code" ], "skillCount" : 21, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8c8c74d8ee00a0975cae", "title" : "Senior Product Designer, Design Systems", "company" : "Thumbtack", "industry" : "Design", "salary" : { "min" : 163200.0, "max" : 248600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote, United States", "locations" : [ "Remote, United States" ], "timestamp" : "2026-06-15T09:04:45.025", "fingerprint" : "3bada7672c15e8600b794ff0d863c4dfd4d886812dec8fd66da232f0b0ae6b11", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/thumbtack/a27fa152-828b-4612-8e12-8f7e6564ee7b/application", "externalId" : "a27fa152-828b-4612-8e12-8f7e6564ee7b", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Figma, Storybook, GitHub", "professionalSkills" : [ "Design systems", "Interaction design", "Visual design", "Component architecture", "System design" ], "hardSkillsList" : [ "Component design", "Pattern design", "Flow design", "Usability testing" ], "hardSkills" : [ { "name" : "Component design", "level" : "intermediate" }, { "name" : "Pattern design", "level" : "intermediate" }, { "name" : "Flow design", "level" : "intermediate" }, { "name" : "Usability testing", "level" : "intermediate" } ], "majorSkills" : "Design systems, Product design, Interaction design, Visual design", "majorSkillsList" : [ "Design systems", "Product design", "Interaction design", "Visual design" ], "coreResponsibilities" : "Own patterns, flows, component compositions, Design and ship reusable components, Define and maintain interaction patterns, Evolve Thumbprint over time, Create clear documentation and guidance, Enable teams to adopt system, Collaborate with technical partners, Define, align, maintain parity, Contribute to naming, taxonomy, structure", "teamCollaboration" : "Design critiques; Work sessions; Presentations; Technical partners; Engineering partners", "domainKnowledge" : "Platform conventions; UI patterns; AI-driven workflows; Accessibility standards", "domainList" : [ "platform-conventions", "ui-patterns", "ai-driven-workflows", "accessibility-standards" ], "domainSpecificKnowledge" : [ "Platform conventions", "UI patterns", "AI-driven workflows", "Accessibility standards" ], "toolProficiency" : [ "Figma", "Storybook", "GitHub" ], "communicationSkills" : "Documentation; Usage guidance; Decision frameworks", "documentationSkills" : "Documentation; Usage guidance", "qualificationsBasic" : "6+ years product design experience, Meaningful time owning design system, Deep familiarity platform conventions, High craft bar visual design, Expert-level Figma skills, Comfortable working design-to-code, Written communication skills, Deep knowledge accessibility standards", "qualificationsPreferred" : "Experience with Claude Code, Experience with Figma MCP, Experience with Storybook, Experience with design tokens, Experience with GitHub", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "THUMBTACK HELPS MILLIONS OF PEOPLE CONFIDENTLY CARE FOR THEIR HOMES. Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together. ABOUT THE DESIGN TEAM We're a tight-knit team of product designers, researchers, and content designers working closely with engineers and product managers to research, explore, and iterate on well-crafted user experiences that are innovative, engaging, and delightful. We collaborate regularly through design critiques, work sessions, and presentations to inspire and influence the direction of the product and company as a whole. ABOUT THE ROLE This is a dedicated systems design role focused on the experience layer of our design system. You'll define how our system, Thumbprint, translates into real product experiences, owning the patterns, flows, component compositions, and documentation that enable every team to design and ship with consistency at scale. You'll work on a small team to evolve Thumbprint into a machine-readable, production-aligned system that accelerates product development from idea to prototype to shipped experience. The focus of this role is craft and usability: interaction quality, platform-native patterns, and the guidance that helps humans and agents apply our system across our various product experiences. WHAT YOU’LL DO - Own the patterns, flows, and component compositions that power product experiences across iOS, Android, and web, ensuring consistency and quality at every layer - Design and ship reusable components with a high bar for craft, including well-defined states, variants, responsiveness, and interaction models - Define and maintain platform-native interaction patterns that make our product feel cohesive and intentional across surfaces - Evolve Thumbprint over time to keep pace with modern UI patterns, platform conventions, and the changing needs of our product - Create clear, opinionated documentation and usage guidance, including best practices, anti-patterns, and decision frameworks teams can act on - Enable teams to adopt and extend the design system through onboarding, critique, and hands-on partnership - Collaborate with technical partners to ensure Thumbprint works within AI-driven workflows, including Claude Code, Figma MCP, and our internal prototyping tools - In addition, work closely with Engineering partners to define, align, and maintain parity between design components in Figma and their coded implementation, ensuring a seamless design-to-development workflow and single source of truth - Contribute to the naming, taxonomy, and structure so Thumbprint is legible and usable by both people and AI tools IN ORDER TO BE SUCCESSFUL, YOU MUST BRING - 6+ years of product design experience, with meaningful time owning or evolving a design system at a product company - Deep familiarity with platform conventions across iOS, Android, and web, including how great apps are structured and how that shapes interaction design - High craft bar for visual design and component work; you build components that are polished, production-ready, and designed to scale - Expert-level Figma skills, including component architecture, variables, tokens, and auto-layout - Comfortable working across the design-to-code workflow; you know your way around Storybook, design tokens, and GitHub, and can collaborate closely with engineers on implementation - Strong written communication skills; you write documentation that is clear, opinionated, and easy to act on - Active interest in how design systems evolve in AI-driven product development, including how system structure and documentation enable teams and tools to work more effectively - Deep knowledge of accessibility standards (WCAG AA) and a commitment to ensuring all components and patterns are inclusive and usable EXPECTED SALARY RANGES - For candidates living in San Francisco / Bay Area, San Jose, New York City, or Seattle metros, the expected salary range for the role is currently $192,100 - $248,600 - For candidates living in Austin, TX or Washington DC metros or in California, Massachusetts, New Jersey, or Washington states, the expected salary range for the role is currently $172,600 - $223,300 - For candidates living in all other US locations, the expected salary range for this role is currently $163,200 - $211,200 Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law. Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: recruitingops@thumbtack.com. If you are a California resident, please review information regarding your rights under California privacy laws contained in Thumbtack’s Privacy policy available at https://www.thumbtack.com/privacy/. We put as much craftsmanship into candidate safety as we do into the hiring experience itself. While scammers may try to impersonate our team, we’ll never ask you for money, banking info, or SSNs during hiring. Check out our blueprint on how to spot the fakes. https://careers.thumbtack.com/recruiting-scams", "summaryDescription" : "Senior Product Designer, Design Systems at Thumbtack. Skills: Design systems, Product design, Interaction design, Visual design. Own patterns, flows, component compositions. Design and ship reusable components", "createdAt" : "2026-06-14T04:31:44.497", "lastUpdated" : "2026-06-15T09:04:45.025", "ingestTimestamp" : "2026-06-14T04:31:44.497", "mongoId" : "6a2c8c8c74d8ee00a0975cae", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 163200, "salaryAnnualMax" : 248600, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Component design", "Pattern design", "Flow design", "Usability testing", "Design systems", "Product design", "Interaction design", "Visual design", "Component architecture", "System design", "Platform conventions", "UI patterns", "AI-driven workflows", "Accessibility standards", "Figma", "Storybook", "GitHub" ], "skillCount" : 17, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "68e0a7e1ce260f92cbf8e920", "title" : "UX Designer, Design Systems", "company" : "Twitch Interactive, Inc.", "industry" : "Design, subsidiaries", "salary" : { "min" : 106000.0, "max" : 184000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, USA", "locations" : [ "San Francisco, California, USA" ], "timestamp" : "2026-06-14T23:49:52.705", "fingerprint" : "d6c0eddc284964ce071c018e21d13773422fb6c34afe031d37a17f3bcd0f509e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3100141/apply", "externalId" : "f2b08fce-1657-4622-9c1f-c564052a8cad", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Figma, Adobe Creative Suite, After Effects", "professionalSkills" : [ "Design systems", "Visual language", "Product visual language", "Accessibility standards", "Inclusive design" ], "hardSkillsList" : [ "Process design", "Documentation", "Visual craft", "Systematic approach", "Accessibility compliance" ], "hardSkills" : [ { "name" : "Process design", "level" : "intermediate" }, { "name" : "Documentation", "level" : "intermediate" }, { "name" : "Visual craft", "level" : "intermediate" }, { "name" : "Systematic approach", "level" : "intermediate" }, { "name" : "Accessibility compliance", "level" : "intermediate" } ], "majorSkills" : "Design systems, Visual design, UI components, Accessibility", "majorSkillsList" : [ "Design systems", "Visual design", "UI components", "Accessibility" ], "coreResponsibilities" : "Collaborate to evolve design system, Collaborate to maintain design system, Collaborate to evolve product visual language, Collaborate to maintain product visual language, Refine polish of work, Refine performance of work, Lead creation of UI components, Lead refinement of UI components, Lead creation of pattern libraries, Lead refinement of pattern libraries, Lead creation of template libraries, Lead refinement of template libraries, Translate visual language principles, Create actionable documentation, Create guidelines for adoption, Participate in design system working sessions, Participate in workshops, Contribute to strategic roadmap, Advocate for accessibility standards, Ensure compliance across components, Participate in design reviews, Participate in QA processes", "teamCollaboration" : "Cross-functional partners; Design organization; Designers and engineers; Product teams", "domainKnowledge" : "Live streaming service; Design system principles; Accessibility standards (WCAG)", "domainList" : [ "live-streaming-service", "design-system-principles", "accessibility-standards-wcag" ], "domainSpecificKnowledge" : [ "Live streaming service", "Design system principles", "Accessibility standards (WCAG)" ], "toolProficiency" : [ "Figma", "Adobe Creative Suite", "After Effects" ], "communicationSkills" : "Present complex decisions; Present system decisions", "documentationSkills" : "Actionable documentation; Guidelines", "outcomesObjectives" : "Shape future of live entertainment", "qualificationsBasic" : "3+ years experience building design systems, Experience in process design and documentation, Ability to work collaboratively, Communicate visual decisions with clarity, Deep understanding of design system principles, Deep understanding of governance, Deep understanding of accessibility standards (WCAG), Proficiency in Figma, Proficiency in industry-standard tools, Proficiency in iOS operating systems, Proficiency in Android operating systems", "qualificationsPreferred" : "Familiarity with design tokens, Familiarity with related tooling, Familiarity with related workflows, Experience with design version management", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/ About Us: Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role The Core UX team is responsible for owning and maintaining our Twitch Design System that supports building and maintaining a cross-platform live streaming service. We are seeking a Senior Design Systems Designer to join our Core UX team at Twitch. In this role, you will support the evolution and maintenance of Twitch's design system. You will ensure consistency and efficiency across our cross-platform live streaming service while collaborating with cross-functional partners, representing our design system to the design organization. Your work will directly impact millions of streamers and viewers, shaping the future of live, interactive entertainment. We're looking for someone who champions human-centered design and can balance playful experiences with systematic thinking. If you're passionate about creating accessible, inclusive, and delightful experiences at scale, you will flourish on this team. You can work from Twitch’s headquarters in San Francisco, CA; or from one of our hub locations in Seattle, WA; Irvine, CA; Los Angeles, CA or New York City, NY. You Will - Collaborate with designers and engineers to evolve and maintain Twitch's design system and product visual language, including color, typography, iconography, motion, grid, shape, illustration, and 3D, while demonstrating a high level of attention to detail and a commitment to refining the polish and performance of your work. - Lead the creation and refinement of UI components, patterns, and template libraries, ensuring each element meets high visual craft standards, aligns with accessibility goals, and reflects a systematic approach to design with a strong eye for consistency. - Translate visual language principles into clear, actionable documentation and guidelines for widespread adoption by design and engineering teams, demonstrating your ability to present complex system decisions to diverse audiences. - Participate in design system working sessions and workshops with product teams and demonstrating your comfort in presenting system decisions. - Contribute to the strategic roadmap for the design system's evolution, showing eagerness to learn, iterate, and contribute to a growing, evolving visual system. - Advocate for accessibility standards and ensure compliance across components, reflecting your commitment to inclusive design practices. - Throughout all these responsibilities, maintain an openness to feedback, a passion for cross-functional collaboration, and excitement about shaping a visual language and design system that reaches millions of users every day. - Participate in design reviews and QA processes to ensure fidelity and consistency across all feature implementations, showcasing your high standards for visual craft. Perks - Medical, Dental, Vision & Disability Insurance - 401(k) - Maternity & Parental Leave - Flexible PTO - Amazon Employee Discount Basic Qualifications: - Experience in process design and documentation - 3+ years of experience in building design systems as a product, platform or visual designer, ideally within tech or digital product environments with an emphasis on mobile design - A portfolio that demonstrates excellent visual craft and systematic thinking, particularly around scaling brand and visual identity - Ability to work collaboratively in cross-functional teams and communicate visual decisions with clarity - Deep understanding of design system principles, governance and accessibility standards (WCAG) including implementation in the design system - Proficiency in Figma and industry-standard tools (Adobe Creative Suite, After Effects, or equivalent) and iOS and Android operating systems Preferred Qualifications: - Familiarity with design tokens and related tooling and workflows - Experience with design version management Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $106,000/year in our lowest geographic market up to $184,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "UX Designer, Design Systems at Twitch Interactive, Inc.. Skills: Design systems, Visual design, UI components, Accessibility. Collaborate to evolve design system. Collaborate to maintain design system", "postedDate" : "2026-06-13T09:14:14.028", "createdAt" : "2026-06-13T09:14:14.028", "lastUpdated" : "2026-06-14T23:49:52.705", "ingestTimestamp" : "2026-06-13T09:14:14.028", "mongoId" : "68e0a7e1ce260f92cbf8e920", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3100141/apply", "salaryAnnualMin" : 106000, "salaryAnnualMax" : 184000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Process design", "Documentation", "Visual craft", "Systematic approach", "Accessibility compliance", "Design systems", "Visual design", "UI components", "Accessibility", "Visual language", "Product visual language", "Accessibility standards", "Inclusive design", "Live streaming service", "Design system principles", "Accessibility standards (WCAG)", "Figma", "Adobe Creative Suite", "After Effects" ], "skillCount" : 19, "jobCategory" : "design", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2cc74674d8ee00a0a17b39", "title" : "Partner 20, Design Systems Lead", "company" : "a16z", "industry" : "Consulting", "salary" : { "min" : 450000.0, "max" : 700000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Design Systems Lead in Menlo Park, California, adjusted for a large company in the financial services industry." }, "location" : "Menlo Park, California, United States", "locations" : [ "Menlo Park", "California", "United States" ], "timestamp" : "2026-06-15T05:18:51.798", "fingerprint" : "d4e7aaa608cd553623252e517bc8ba42a63bbc50204839358f57ef2243888fcd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://a16z.com/about/jobs/?gh_jid=7738096003", "externalId" : "7738096003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Menlo Park", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4519671,-122.1779920" } ], "locationText" : "Menlo Park, California, United States", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "AI, Figma, Claude, Codex, Krea, Midjourney", "professionalSkills" : [ "Brand design", "Systems building", "Visual language", "Component thinking", "Workflow design", "Repeatable outputs" ], "hardSkillsList" : [ "Markdown", "Prompt engineering", "App development" ], "hardSkills" : [ { "name" : "Markdown", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "App development", "level" : "intermediate" } ], "majorSkills" : "Design systems, Brand translation, AI skills", "majorSkillsList" : [ "Design systems", "Brand translation", "AI skills" ], "coreResponsibilities" : "Own design systems function, Set direction, Maintain standards, Translate brand systems, Build repeatable systems, Write brand documentation, Build AI skills, Vibe-code lightweight apps, Create tools for non-designers, Partner with designers, Distill visual systems, Spot patterns, Improve systems, Train people on tools, Track adoption", "teamCollaboration" : "Cross-functional teams; Project manager; New media ops", "domainKnowledge" : "Design systems; Brand guidelines; AI workflows; Component libraries; AI skills; Self-serve infrastructure; Visual language; AI-powered tools; Repeatable design needs; AI-generated outputs; Design use cases", "domainList" : [ "design-systems", "brand-guidelines", "ai-workflows", "component-libraries", "ai-skills", "self-serve-infrastructure", "visual-language", "ai-powered-tools", "repeatable-design-needs", "ai-generated-outputs", "design-use-cases" ], "domainSpecificKnowledge" : [ "Design systems", "Brand guidelines", "AI workflows", "Component libraries", "AI skills", "Self-serve infrastructure", "Visual language", "AI-powered tools", "Repeatable design needs", "AI-generated outputs", "Design use cases" ], "toolProficiency" : [ "Figma", "Google Workspace", "Claude", "Codex", "Gamma", "Krea", "Midjourney" ], "communicationSkills" : "Brand documentation; Skill instruction files; Written documentation; Video walkthroughs", "documentationSkills" : "Brand documentation; Style references; Skill instruction files", "innovationCreativity" : "AI-powered workflows; Vibe-code lightweight apps; Custom tools", "problemSolvingSkills" : "Recurring design problem", "outcomesObjectives" : "Produce high-quality work; Create scalable templates; Produce polished work independently; Keep systems current; Improve systems based on feedback; Ensure tools get used", "qualificationsBasic" : "4+ years of experience", "workSiteFlexibility" : "Flexible", "rawDescription" : "Founded in Silicon Valley in 2009 by Marc Andreessen and Ben Horowitz, Andreessen Horowitz (aka a16z) is a venture capital firm that backs bold entrepreneurs building the future through technology. We are stage agnostic. We invest in seed to venture to growth-stage technology companies, across AI, bio + healthcare, consumer, crypto, enterprise, fintech, games, and companies building toward American dynamism. a16z has $100B+ under management across multiple funds. We’ve established a team that is defined by respect for the entrepreneur and the company-building process; we know what it’s like to be in the founder’s shoes. We’ve invested in companies like Anduril, Airbnb, Coinbase, Cursor, Databricks, Deel, Figma, GitHub, Roblox, SpaceX, and Stripe. Our team is at the forefront of new technology, helping founders and their companies impact and change the world. Design at a16z Most design orgs are built to execute. A request comes in, a designer makes the thing, and it goes out the door. That model works (until the volume of requests outpaces the size of the team), and suddenly design becomes a bottleneck instead of a multiplier. We're building something different. The future of design at a16z isn't a bigger team cranking out more assets: it's a design function that scales through systems. Templates, tools, AI-powered workflows, and self-serve infrastructure that let anyone at the firm create high-quality, on-brand work without routing every request through a designer. AI makes this possible in ways it wasn't before. But only if someone builds the design systems right, which means deeply understanding our brand, not just the tools. We have an existing foundation: brand guidelines, component libraries, AI skills and apps, and other templates across our core use cases—and we're looking for someone to take that foundation and continue to build it into something the whole firm can run on. The Role We're hiring a Design Systems Lead to own and evolve that infrastructure. This is a clear ownership role: you're the person accountable for the quality, consistency, and reach of our design systems, and for what gets built next. The work itself is equal parts brand design and systems building: half deep, intuitive command of the a16z visual language, half thinking in components, workflows, and repeatable outputs. You'll translate our brand into component libraries, AI skills, AI-powered tools, and self-serve templates the whole firm can use. That means writing clean markdown files, building high-functioning AI skills from scratch, and vibe-coding lightweight apps purpose-built for design use cases. What you're building is the invisible design framework for the firm. The work it produces shouldn't be. We are open to candidates based in the San Francisco Bay Area, CA or New York City, NY. To join our team, you should be excited to: Take clear ownership of the a16z design systems function: setting the direction, maintaining the standards, and being accountable for what gets built and how well it works Translate a16z brand systems into scalable templates, components, and modular frameworks across Krea, Figma, Google Workspace, Claude, Codex, Gamma, and many other core platforms with enough command of the brand to make those systems feel designed, not just functional Build repeatable systems for high-volume design needs (presentations, social assets, event materials, charts) so these don't require a designer every time Write and maintain markdown-based brand documentation, style references, and skill instruction files that serve as the source of truth for AI-generated outputs Build high-functioning AI skills from scratch: structured prompts, reference frameworks, and training inputs that produce design work that's distinctly and consistently a16z Vibe-code lightweight apps and custom tools purpose-built for design use cases (generators, formatters, asset builders, etc.) using whatever combination of AI models, APIs, and front-end code gets the job done Create tools and templates that let non-designers produce polished, on-brand work independently, without the output looking like it came from a template Partner with designers to distill complex visual systems into usable building blocks, and keep those systems current as the brand evolves Spot patterns in repeatable work, build toward them, and continuously improve what's running based on real usage and feedback Occasionally train people across the firm on the tools and systems we build (whether that's written documentation, a quick video walkthrough, or a 1:1) so what we make actually gets used the way it was intended Work with the project manager and new media ops team to track adoption and efficiency gains across the firm Minimum Qualifications 4+ years of experience in brand design, design systems, product design, or a related field A deep command of visual identity: quick to sense when something’s off, and able to diagnose and resolve it systematically Strong Figma skills, including building and maintaining design systems, libraries, and component structures others actually use Fluent in typography, layout, and the details that separate considered design from competent design Experience writing and scaling AI skills, not just prompting, but structuring reference frameworks, markdown files, and instruction sets that produce reliably on-brand outputs Comfortable vibe-coding: you've built lightweight apps, generators, or custom tools for design use cases, and you know where the edges are AI is already part of how you work, not something you're experimenting with; you've used tools like Claude, Codex, Krea, Midjourney, or similar and you’re curious about what’s next. You see the forest and the tree(s): if given a recurring design problem, your instinct is to build something comprehensive, not just solve it once A natural collaborator with low ego and high empathy: you work well across teams and can translate between design thinking and the needs of people who don't speak it The anticipated salary range for this role is between $210,000 - $245,000, actual starting pay may vary based on a range of factors which can include experience, skills, and scope. This role is eligible to participate in the a16z carry program and various discretionary bonus programs as well as benefit and perquisite plans including health, dental, vision, disability, life insurance, 401K plan, vacation, and sick leave. a16z culture We do only first class business and only in a first class way We take a long view of relationships, because we are in the relationship business We believe in the future and bet the firm that way We are all different, we recognize that, and we win We celebrate the good times We do it for the team We play to win At a16z we are always looking to hire the absolute best talent and recognize that diversity in our experiences and backgrounds is what makes us stronger. We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, Veteran status, and any other status. These differences are what enables us to work towards the future we envision for ourselves, our portfolio companies, and the World. Our organization participates in E-Verify. Click here to learn about E-Verify. Andreessen Horowitz hereby reserves the right to make use of any unsolicited resumes received from outside recruiting agencies and / or individual recruiters without being responsible for payment of any fees asserted from the use of unsolicited resumes.", "summaryDescription" : "Partner 20, Design Systems Lead at a16z. Skills: Design systems, Brand translation, AI skills. Own design systems function. Set direction", "postedDate" : "2026-06-14T02:23:25.975", "createdAt" : "2026-06-14T02:23:25.975", "lastUpdated" : "2026-06-15T05:18:51.798", "ingestTimestamp" : "2026-06-14T02:23:25.975", "mongoId" : "6a2cc74674d8ee00a0a17b39", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 450000, "salaryAnnualMax" : 700000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Markdown", "Prompt engineering", "App development", "Design systems", "Brand translation", "AI skills", "Brand design", "Systems building", "Visual language", "Component thinking", "Workflow design", "Repeatable outputs", "Brand guidelines", "AI workflows", "Component libraries", "Self-serve infrastructure", "AI-powered tools", "Repeatable design needs", "AI-generated outputs", "Design use cases", "Figma", "Google Workspace", "Claude", "Codex", "Gamma", "Krea", "Midjourney" ], "skillCount" : 27, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7f9e74d8ee00a0955dbf", "title" : "Building Management Systems Design Engineer", "company" : "Strategic Mission Critical", "industry" : "Consulting", "salary" : { "min" : 65000.0, "max" : 100000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Phoenix, Arizona, United States", "locations" : [ "Phoenix", "Arizona", "United States", "Clifton Park", "New York", "United States" ], "timestamp" : "2026-06-15T09:11:59.128", "fingerprint" : "bc147709c45cb86edfaae5bc0991bab9fb198f195c2e1c32e8e56cc285974658", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/strategicmissioncritical/jobs/4224303009", "externalId" : "4224303009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Phoenix", "state" : "Arizona", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.4484367,-112.0741410" } ], "locationText" : "Phoenix, Arizona, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "BMS, EPMS, Autodesk Revit", "professionalSkills" : [ "Design tasks", "Systems network topology", "Equipment selection", "Specification development", "Construction codes", "Project specifications", "Construction process" ], "hardSkillsList" : [ "BMS design", "EPMS design", "Network topology design", "Equipment specification" ], "softSkillsList" : [ "Eager to learn", "Independent research", "Take direction", "Work independently", "Active participant" ], "hardSkills" : [ { "name" : "BMS design", "level" : "intermediate" }, { "name" : "EPMS design", "level" : "intermediate" }, { "name" : "Network topology design", "level" : "intermediate" }, { "name" : "Equipment specification", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Eager to learn" }, { "name" : "Independent research" }, { "name" : "Take direction" }, { "name" : "Work independently" }, { "name" : "Active participant" } ], "majorSkills" : "BMS design, EPMS design, Controls design", "majorSkillsList" : [ "BMS design", "EPMS design", "Controls design" ], "coreResponsibilities" : "Execute BMS and EPMS design tasks, Coordinate with clients and design leads, Meet scheduled project deadlines, Perform independent research, Utilize Autodesk Revit, Produce detailed design documents, Assist with performing design, Build understanding and ability, Develop one line detail diagrams, Learn how to select equipment, Learn how to specify equipment, Assist with meeting project deadlines, Work necessary hours, Complete major deliverables, Review and understand codes, Understand project specifications, Grow understanding of construction process, Take direction from engineers, Execute delivery of design elements, Work independently, Coordinate with senior personnel, Coordinate with other disciplines, Participate in training opportunities, Grow knowledge and capabilities, Maintain organizational skills, Manage multiple tasks", "teamCollaboration" : "Coordinate with clients; Coordinate with design leads; Coordinate with disciplines; Coordinate with senior personnel", "projectManagementSkills" : [ "Meet project deadlines" ], "domainKnowledge" : "Mission critical facilities; Data center facilities; Hyperscale clients; Colocation providers; Data center campus systems; Building Management Systems; Electrical Power Monitoring systems", "domainList" : [ "mission-critical-facilities", "data-center-facilities", "hyperscale-clients", "colocation-providers", "data-center-campus-systems", "building-management-systems", "electrical-power-monitoring-systems" ], "domainSpecificKnowledge" : [ "Mission critical facilities", "Data center facilities", "Hyperscale clients", "Colocation providers", "Data center campus systems", "Building Management Systems", "Electrical Power Monitoring systems" ], "toolProficiency" : [ "Autodesk Revit", "Microsoft Word", "Microsoft Power Point", "Microsoft Excel", "Microsoft Teams" ], "communicationSkills" : "Communicate effectively; Written communication; Spoken communication", "documentationSkills" : "Detailed design documents", "continuousLearning" : "Furthering knowledge; Developing skills; Career growth; Training opportunities; Mentoring opportunities", "specialRequirements" : "Less than 10% travel, Ability to travel", "qualificationsBasic" : "2 or 4-year degree in mechanical engineering or mechanical engineering technology, HVAC construction experience with a drafting certification", "qualificationsPreferred" : "Past internship, co-op, or work experience in a consulting engineering role, Experience working in the construction industry", "workSiteFlexibility" : "Onsite", "rawDescription" : "Engineering data centers with precision and expertise. At Strategic Mission Critical, we are more than just engineers; we are experts focusing solely on mission critical facilities. Our seasoned leadership team brings together decades of experience, equipping data center providers worldwide with robust, reliable solutions that keep pace with the evolving digital landscape. As demand for high-performance infrastructure accelerates - fueled by AI and the expanding digital landscape - SMC continues to lead through technical rigor and operational excellence. We’re seeking leaders who think beyond projects to improve the way we deliver them: individuals who elevate people, process, and performance across the firm. SMC is actively looking for Entry Level Building Management System Engineer/Designer to help execute Controls design for mission critical projects. Typical project types may include design of greenfield and brownfield data center facilities, design of fit-out packages for hyperscale and enterprise clients of colocation providers and data center campus systems. This candidate will execute specific design tasks as part of a broader mechanical team while furthering their own knowledge and developing their skills. The candidate will typically work under the guidance of senior and/or mid-level engineers. The BMS design scope will be a part of a broader project and therefore this candidate will learn to interface with design leads within SMC (mechanical, electrical, telecommunications, fire protection, plumbing) as well as externally including architectural, civil, structural, etc. The ideal candidate has a strong work ethic, is eager to learn, and wants to grow their expertise and career at as rapid a pace as suits them. This position is open to full time, part time, and internship/co-op applicants. RESPONSIBILITIES This candidate will have the opportunity to execute specific BMS and EPMS (Electrical Power Monitoring systems) design tasks for various project types while working and coordinating with clients and design leads from all disciplines. This candidate shall have the ability to communicate effectively with co-workers and with clients while being able to meet scheduled project deadlines. They will be a self-starter not afraid to do independent research in addition to directly-assigned project work in order to further their career growth. Responsibilities include but are not limited to: Utilize Autodesk Revit to produce detailed design documents. Assist with performing the design of systems network topology. Build an understanding and ability to develop one line detail diagrams. Learn how to select and specify BMS equipment Assist with meeting project deadlines, including working necessary hours to complete major deliverables. Review and gain an understanding of local and national construction codes and project specifications to grow a broader understanding of the construction process. Have experience with the use of Microsoft tools such as Word, Power Point, Excel, and Teams. Have the ability to travel when required to project sites (less than 10% travel). Have the ability to clearly communicate with others in both written and spoken forms. Be willing to take direction from senior and mid-level engineers and designers in order to execute delivery of specific design elements. Be able to work independently while coordinating with senior personnel and other disciplines. Be an active participant in training and mentoring opportunities in order to grow knowledge and capabilities. Maintain excellent organizational skills, with the ability to manage multiple tasks simultaneously QUALIFICATIONS 2 or 4-year degree in mechanical engineering or mechanical engineering technology preferred, HVAC construction experience with a drafting certification will be considered as well. Past internship, co-op, or work experience in a consulting engineering role is a plus. Experience working in the construction industry is a plus. Experience using Revit in either an educational or professional context is a plus. Engineer-in-Training (EIT) is a plus. COMPENSATION Base Compensation: $65,000-$100,000 (Actual compensation is subject to variation due to factors such as education, experience, skills and/or location) We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.", "summaryDescription" : "Building Management Systems Design Engineer at Strategic Mission Critical. Skills: BMS design, EPMS design, Controls design. Execute BMS and EPMS design tasks. Coordinate with clients and design leads", "postedDate" : "2026-06-14T02:11:00.611", "createdAt" : "2026-06-14T02:11:00.611", "lastUpdated" : "2026-06-15T09:11:59.128", "ingestTimestamp" : "2026-06-14T02:11:00.611", "mongoId" : "6a2c7f9e74d8ee00a0955dbf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 100000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "BMS design", "EPMS design", "Network topology design", "Equipment specification", "Eager to learn", "Independent research", "Take direction", "Work independently", "Active participant", "Controls design", "Design tasks", "Systems network topology", "Equipment selection", "Specification development", "Construction codes", "Project specifications", "Construction process", "Meet project deadlines", "Mission critical facilities", "Data center facilities", "Hyperscale clients", "Colocation providers", "Data center campus systems", "Building Management Systems", "Electrical Power Monitoring systems", "Autodesk Revit", "Microsoft Word", "Microsoft Power Point", "Microsoft Excel", "Microsoft Teams" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30876cf292fd229c088d53", "title" : "Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD)", "company" : "Unity Technologies", "industry" : "Technology", "salary" : { "min" : 112700.0, "max" : 169100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, USA", "locations" : [ "New York", "NY", "USA" ], "certifications" : [ "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification" ], "timestamp" : "2026-06-16T12:36:05.865", "fingerprint" : "0867ba40da51d162ee8ae4073923097c2ea972d8898ffbe1818eefa6d825a9fe", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://unity.com/careers/positions/7999719?gh_jid=7999719", "externalId" : "7999719", "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" : "PhD", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Metabase, Superset, Qlik, MicroStrategy, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, S3, Glue, SageMaker, Athena, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "Data science", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning, Data engineering", "majorSkillsList" : [ "Data science", "Machine learning", "Data engineering" ], "toolProficiency" : [ "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure", "SageMaker", "Vertex AI", "ML Studio" ], "qualificationsBasic" : "SQL proficiency, Python proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Databricks, Experience with dbt, Experience with Fivetran, Experience with Airflow, Experience with dbt Cloud, Experience with Delta Lake, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio", "remoteFriendly" : false, "rawDescription" : "The opportunity Unity's Vector AI team builds the machine learning systems that decide which ads reach which players — across billions of monthly users on the world's leading game engine. Recommendation and ranking systems are the core of this work: predicting user value, optimizing bids, and delivering outcomes for advertisers at massive scale. We are building the next generation of these systems. The frontier has shifted — large language models, reinforcement learning from human feedback, and agentic AI are reshaping what recommendation systems can do. We are looking for PhD graduates who have worked at that frontier and want to bring those ideas into production systems that matter. What you'll be doing Design, build, and evaluate next-generation ranking and recommendation models that incorporate LLMs, RLHF, and preference learning to improve ad relevance and user experience. Develop user understanding systems — conversion prediction, behavioral modeling, and value estimation — that operate across billions of impressions. Apply reinforcement learning and optimization techniques to bidding strategy, auction dynamics, and real-time ad delivery. Design and run rigorous experiments using causal inference, A/B testing, and offline evaluation frameworks to measure and improve model quality. Partner with engineering to bring research ideas into production, working across the full pipeline from training data to deployed model. Communicate findings clearly to technical and non-technical stakeholders across engineering, product, and business teams. What we're looking for PhD in Computer Science, Machine Learning, Statistics, or a related field (graduating 2026 or recent graduate). Strong research foundations in one or more of: recommendation systems, reinforcement learning, LLM post-training or alignment, human-AI collaboration, probabilistic modeling, or optimization. Experience working with large-scale data and ML systems, whether through research or industry internships. Fluency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow. A track record of rigorous, high-quality research — publications at top venues (NeurIPS, ICML, ICLR, KDD, RecSys, ACL, WWW, or similar) are a strong signal. Strong written and verbal communication skills — able to make complex ideas accessible across technical and non-technical audiences. You might also have Industry experience in ads, recommendation, or user understanding systems (internship experience counts). Hands-on experience with production ML pipelines — training at scale, feature engineering, or experimentation infrastructure. Experience applying LLMs or generative models to ranking, retrieval, or structured prediction problems. Familiarity with agentic AI approaches — multi-step reasoning, tool use, or human-AI collaboration frameworks. Exposure to causal inference, uplift modeling, or A/B testing at scale. Genuine curiosity about applied research and the drive to see ideas through to impact. Additional information Relocation support is not available for this position Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com. #MID #LI-ED1 *Note: This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Gross pay salary $112,700—$169,100 USD", "summaryDescription" : "Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD) at Unity Technologies. Skills: Data science, Machine learning, Data engineering", "postedDate" : "2026-06-16T01:21:50.550", "createdAt" : "2026-06-16T01:21:50.550", "lastUpdated" : "2026-06-16T12:36:05.865", "ingestTimestamp" : "2026-06-16T01:21:50.550", "mongoId" : "6a30876cf292fd229c088d53", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 112700, "salaryAnnualMax" : 169100, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Machine learning", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification", "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure", "SageMaker", "Vertex AI", "ML Studio" ], "skillCount" : 56, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30876cf292fd229c088d52", "title" : "Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD)", "company" : "Unity Technologies", "industry" : "Technology", "salary" : { "min" : 112700.0, "max" : 169100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, USA", "locations" : [ "New York", "NY", "USA" ], "certifications" : [ "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification" ], "timestamp" : "2026-06-16T12:18:23.439", "fingerprint" : "5e5f2e0dc44c587b5ed49a146b58778d441dc227b991c38aa9c349a24e3dec0e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://unity.com/careers/positions/7992078?gh_jid=7992078", "externalId" : "7992078", "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" : "PhD", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Metabase, Superset, Qlik, MicroStrategy, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, S3, Glue, SageMaker, Athena, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "Data science", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning, Data engineering", "majorSkillsList" : [ "Data science", "Machine learning", "Data engineering" ], "coreResponsibilities" : "Develop and deploy machine learning models, Design and implement data pipelines, Build and maintain data infrastructure, Analyze large datasets, Develop dashboards and reports, Collaborate with cross-functional teams, Stay current with industry trends", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Recommendation systems", "domainList" : [ "recommendation-systems" ], "domainSpecificKnowledge" : [ "Recommendation systems" ], "toolProficiency" : [ "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "continuousLearning" : "Stay current with industry trends", "qualificationsBasic" : "SQL proficiency, Python proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Databricks, Experience with dbt, Experience with Fivetran, Experience with Airflow, Experience with dbt Cloud, Experience with Delta Lake, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio", "remoteFriendly" : false, "rawDescription" : "The opportunity Unity's Vector AI team builds the machine learning systems that decide which ads reach which players — across billions of monthly users on the world's leading game engine. Recommendation and ranking systems are the core of this work: predicting user value, optimizing bids, and delivering outcomes for advertisers at massive scale. We are building the next generation of these systems. The frontier has shifted — large language models, reinforcement learning from human feedback, and agentic AI are reshaping what recommendation systems can do. We are looking for PhD graduates who have worked at that frontier and want to bring those ideas into production systems that matter. What you'll be doing Design, build, and evaluate next-generation ranking and recommendation models that incorporate LLMs, RLHF, and preference learning to improve ad relevance and user experience. Develop user understanding systems — conversion prediction, behavioral modeling, and value estimation — that operate across billions of impressions. Apply reinforcement learning and optimization techniques to bidding strategy, auction dynamics, and real-time ad delivery. Design and run rigorous experiments using causal inference, A/B testing, and offline evaluation frameworks to measure and improve model quality. Partner with engineering to bring research ideas into production, working across the full pipeline from training data to deployed model. Communicate findings clearly to technical and non-technical stakeholders across engineering, product, and business teams. What we're looking for PhD in Computer Science, Machine Learning, Statistics, or a related field (graduating 2026 or recent graduate). Strong research foundations in one or more of: recommendation systems, reinforcement learning, LLM post-training or alignment, human-AI collaboration, probabilistic modeling, or optimization. Experience working with large-scale data and ML systems, whether through research or industry internships. Fluency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow. A track record of rigorous, high-quality research — publications at top venues (NeurIPS, ICML, ICLR, KDD, RecSys, ACL, WWW, or similar) are a strong signal. Strong written and verbal communication skills — able to make complex ideas accessible across technical and non-technical audiences. You might also have Industry experience in ads, recommendation, or user understanding systems (internship experience counts). Hands-on experience with production ML pipelines — training at scale, feature engineering, or experimentation infrastructure. Experience applying LLMs or generative models to ranking, retrieval, or structured prediction problems. Familiarity with agentic AI approaches — multi-step reasoning, tool use, or human-AI collaboration frameworks. Exposure to causal inference, uplift modeling, or A/B testing at scale. Genuine curiosity about applied research and the drive to see ideas through to impact. Additional information Relocation support is not available for this position Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com. #MID #LI-ED1 *Note: This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Gross pay salary $112,700—$169,100 USD", "summaryDescription" : "Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD) at Unity Technologies. Skills: Data science, Machine learning, Data engineering. Develop and deploy machine learning models. Design and implement data pipelines", "postedDate" : "2026-06-16T01:21:03.300", "createdAt" : "2026-06-16T01:21:03.300", "lastUpdated" : "2026-06-16T12:18:23.439", "ingestTimestamp" : "2026-06-16T01:21:03.300", "mongoId" : "6a30876cf292fd229c088d52", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 112700, "salaryAnnualMax" : 169100, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Machine learning", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Recommendation systems", "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification", "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "skillCount" : 54, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30876cf292fd229c088d54", "title" : "Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD)", "company" : "Unity Technologies", "industry" : "Technology", "salary" : { "min" : 112700.0, "max" : 169100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, USA", "locations" : [ "New York", "NY", "USA" ], "certifications" : [ "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification" ], "timestamp" : "2026-06-16T11:01:28.921", "fingerprint" : "8d11c9891b3bddb75bf0d97edd72d2426d03638ef2bd2548f74347cbab4c5a94", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://unity.com/careers/positions/7999717?gh_jid=7999717", "externalId" : "7999717", "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" : "PhD", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Metabase, Superset, Qlik, MicroStrategy, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, S3, Glue, SageMaker, Athena, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "Data science", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning, Data engineering", "majorSkillsList" : [ "Data science", "Machine learning", "Data engineering" ], "coreResponsibilities" : "Develop and deploy machine learning models, Build and maintain data pipelines, Design and implement data warehousing solutions, Create and manage BI dashboards, Perform statistical analysis, Conduct quantitative research, Collaborate with engineering teams, Optimize data infrastructure", "teamCollaboration" : "Cross-functional teams; Engineering teams", "domainKnowledge" : "Recommendation systems", "domainList" : [ "recommendation-systems" ], "domainSpecificKnowledge" : [ "Recommendation systems" ], "toolProficiency" : [ "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "qualificationsBasic" : "SQL proficiency, Python proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Databricks, Experience with dbt, Experience with Fivetran, Experience with Airflow, Experience with dbt Cloud, Experience with Delta Lake, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio", "remoteFriendly" : false, "rawDescription" : "The opportunity Unity's Vector AI team builds the machine learning systems that decide which ads reach which players — across billions of monthly users on the world's leading game engine. Recommendation and ranking systems are the core of this work: predicting user value, optimizing bids, and delivering outcomes for advertisers at massive scale. We are building the next generation of these systems. The frontier has shifted — large language models, reinforcement learning from human feedback, and agentic AI are reshaping what recommendation systems can do. We are looking for PhD graduates who have worked at that frontier and want to bring those ideas into production systems that matter. What you'll be doing Design, build, and evaluate next-generation ranking and recommendation models that incorporate LLMs, RLHF, and preference learning to improve ad relevance and user experience. Develop user understanding systems — conversion prediction, behavioral modeling, and value estimation — that operate across billions of impressions. Apply reinforcement learning and optimization techniques to bidding strategy, auction dynamics, and real-time ad delivery. Design and run rigorous experiments using causal inference, A/B testing, and offline evaluation frameworks to measure and improve model quality. Partner with engineering to bring research ideas into production, working across the full pipeline from training data to deployed model. Communicate findings clearly to technical and non-technical stakeholders across engineering, product, and business teams. What we're looking for PhD in Computer Science, Machine Learning, Statistics, or a related field (graduating 2026 or recent graduate). Strong research foundations in one or more of: recommendation systems, reinforcement learning, LLM post-training or alignment, human-AI collaboration, probabilistic modeling, or optimization. Experience working with large-scale data and ML systems, whether through research or industry internships. Fluency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow. A track record of rigorous, high-quality research — publications at top venues (NeurIPS, ICML, ICLR, KDD, RecSys, ACL, WWW, or similar) are a strong signal. Strong written and verbal communication skills — able to make complex ideas accessible across technical and non-technical audiences. You might also have Industry experience in ads, recommendation, or user understanding systems (internship experience counts). Hands-on experience with production ML pipelines — training at scale, feature engineering, or experimentation infrastructure. Experience applying LLMs or generative models to ranking, retrieval, or structured prediction problems. Familiarity with agentic AI approaches — multi-step reasoning, tool use, or human-AI collaboration frameworks. Exposure to causal inference, uplift modeling, or A/B testing at scale. Genuine curiosity about applied research and the drive to see ideas through to impact. Additional information Relocation support is not available for this position Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com. #MID #LI-ED1 *Note: This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Gross pay salary $112,700—$169,100 USD", "summaryDescription" : "Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD) at Unity Technologies. Skills: Data science, Machine learning, Data engineering. Develop and deploy machine learning models. Build and maintain data pipelines", "postedDate" : "2026-06-16T01:21:03.139", "createdAt" : "2026-06-16T01:21:03.139", "lastUpdated" : "2026-06-16T11:01:28.921", "ingestTimestamp" : "2026-06-16T01:21:03.139", "mongoId" : "6a30876cf292fd229c088d54", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 112700, "salaryAnnualMax" : 169100, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Machine learning", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Recommendation systems", "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification", "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "skillCount" : 54, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "693072a870f0b99d58ffb87c", "title" : "Wireless Systems Design Manager", "company" : "Amazon Development Center Taiwan Limited", "industry" : "Hardware Development, ASIC, alexa and amazon devices", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Technology industry in Hsinchu City, Taiwan, adjusted for company size and seniority." }, "location" : "Hsinchu City, TWN", "locations" : [ "Hsinchu City, TWN" ], "timestamp" : "2026-06-15T01:52:46.748", "fingerprint" : "cfdc65696975570248e900ddccf049b9d7124372fc16cc9e63d69a48617f1c10", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3134523/apply", "externalId" : "a871e04e-3b10-4d52-9fd6-0876f2b2ed06", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hsinchu City", "country" : "Taiwan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "24.8078135,121.0336572" } ], "locationText" : "Hsinchu City, Taiwan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceLevel" : "Manager", "technicalSkills" : "Wi-Fi, Bluetooth BR/EDR, BLE, 802.15.4, ZigBee, Thread, WiFi 6/6E/7, Bluetooth, cellular, R, MATLAB, Python, ASICs", "professionalSkills" : [ "Chipset selection", "Budget management", "Headcount projections", "Performance evaluations", "Individual growth" ], "hardSkillsList" : [ "RF systems engineering", "Wireless coexistence", "Power optimization", "Silicon development", "Chipset architecture", "System integration", "RF system analysis", "SoC architecture", "SoC integration" ], "softSkillsList" : [ "Leadership", "Innovation" ], "hardSkills" : [ { "name" : "RF systems engineering", "level" : "intermediate" }, { "name" : "Wireless coexistence", "level" : "intermediate" }, { "name" : "Power optimization", "level" : "intermediate" }, { "name" : "Silicon development", "level" : "intermediate" }, { "name" : "Chipset architecture", "level" : "intermediate" }, { "name" : "System integration", "level" : "intermediate" }, { "name" : "RF system analysis", "level" : "intermediate" }, { "name" : "SoC architecture", "level" : "intermediate" }, { "name" : "SoC integration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Innovation" } ], "majorSkills" : "Wireless systems design, Connectivity solutions, Team leadership", "majorSkillsList" : [ "Wireless systems design", "Connectivity solutions", "Team leadership" ], "coreResponsibilities" : "Lead engineering team, Innovate connectivity solutions, Design connectivity solutions, Build connectivity solutions, Work with hardware teams, Work with software teams, Work with operations teams, Work with quality assurance teams, Work with silicon partners, Build engineering team, Deliver excellent results, Provide technical leadership, Make own technical contributions, Implement process improvements, Advise senior management, Advise executive management, Define technical requirements, Enable team define requirements, Define chipset selection activities, Drive chipset selection activities, Facilitate chipset selection activities, Drive innovation within team, Facilitate innovation within team, Manage team budget, Manage headcount projections, Manage recruiting, Manage performance evaluations, Monitor individual growth, Drive individual growth, Facilitate individual growth, Ensure correct hardware exercising, Ensure adequate functionality, Ensure adequate reporting, Follow specification developments, Follow standards developments, Follow technology roadmaps", "teamCollaboration" : "Hardware teams; Software teams; Operations teams; Quality assurance teams; Silicon partners; Peer environment", "projectManagementSkills" : [ "Budget management", "Headcount projections", "Recruiting", "Performance evaluations" ], "domainKnowledge" : "Wireless technologies; RF systems; Custom silicon; Chipset architecture; Wireless coexistence; Power optimization; Semiconductor industry; Wireless SoC architecture; Wireless SoC integration; Wireless protocols", "domainList" : [ "wireless-technologies", "rf-systems", "custom-silicon", "chipset-architecture", "wireless-coexistence", "power-optimization", "semiconductor-industry", "wireless-soc-architecture", "wireless-soc-integration", "wireless-protocols" ], "domainSpecificKnowledge" : [ "Wireless technologies", "RF systems", "Custom silicon", "Chipset architecture", "Wireless coexistence", "Power optimization", "Semiconductor industry", "Wireless SoC architecture", "Wireless SoC integration", "Wireless protocols" ], "toolProficiency" : [ "Simulation tools", "Predictive modeling" ], "communicationSkills" : "Technical leadership", "innovationCreativity" : "Innovate connectivity solutions; Drive innovation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data driven selection", "specialRequirements" : "Occasionally travel internationally", "outcomesObjectives" : "Deliver excellent results; Build best-in-class team", "qualificationsBasic" : "Bachelor's degree in Electrical Engineering, 3+ years team management experience, 7+ years RF/Wireless systems engineering, Deep expertise wireless technologies, Experience RF test equipment, Experience validation methodologies, Experience custom silicon development, Experience chipset architecture, Proven track record wireless coexistence, Proven track record power optimization", "qualificationsPreferred" : "Master's degree in Electrical Engineering, Experience wireless system design, Experience system integration, Experience RF system analysis, Knowledge semiconductor industry, Knowledge R, Knowledge MATLAB, Knowledge Python, Experience working with physical design teams, Background wireless SoC architecture, Background wireless SoC integration, Experience multiple wireless protocols", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Wireless Systems Design Manager, you will lead your team of high performing engineers to innovate, design and build best in class connectivity solutions. You will work on Wi-Fi, Bluetooth BR/EDR, BLE and 802.15.4 based technologies such as ZigBee and Thread. You and your team will work closely with the hardware, software, operations, quality assurance teams and silicon partners to make our products a reality. You must be responsive, flexible, and able to succeed within an open and collaborative peer environment. In this role, you will: • Build a best-in-class engineering team that delivers excellent results through rapid iterations • Provide hands on technical leadership to the team, including your own technical contributions. • Implement process improvements for both your own and surrounding teams. • Advise senior and executive management • Define detailed technical requirements from high level product descriptions and enable your team to do the same. • Define and drive the necessary activities needed for data driven chipset selection. • Drive and facilitate innovation within the team • Manage team budget, headcount projections, recruiting and continuous performance evaluations. • Monitor, drive and facilitate individual growth of your team’s individual contributors • Work with the hardware team to ensure correct exercising of hardware • Work with the applications and user-space teams to ensure an adequate level of functionality and reporting • Follow specification, standards developments and technology roadmaps • Be able to occasionally travel internationally Basic Qualifications: - Bachelor's degree in Electrical Engineering or a related field - 3+ years of team management experience - 7+ years of experience in RF/Wireless systems engineering - Deep expertise in wireless technologies (WiFi 6/6E/7, Bluetooth, cellular) - Strong experience with RF test equipment and validation methodologies - Experience in custom silicon development and chipset architecture - Proven track record in wireless coexistence solutions and power optimization - Experience with simulation tools and predictive modeling for wireless systems Preferred Qualifications: - Master's degree in Electrical Engineering or a related field - Experience in wireless system design and architecture, system integration, and RF system analysis - Knowledge of the semiconductor industry, processes, technologies and key suppliers - Knowledge of R, MATLAB, Python or similar scripting language - Experience working closely with physical design teams to develop highly optimized ASICs with excellent power, performance and area - Strong background in wireless SoC architecture and integration - Experience with multiple wireless protocols (WiFi, BT, Zigbee, UWB, cellular) 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" : "Wireless Systems Design Manager at Amazon Development Center Taiwan Limited. Skills: Wireless systems design, Connectivity solutions, Team leadership. Lead engineering team. Innovate connectivity solutions", "postedDate" : "2026-06-13T01:40:45.522", "createdAt" : "2026-06-13T01:40:45.522", "lastUpdated" : "2026-06-15T01:52:46.748", "ingestTimestamp" : "2026-06-13T01:40:45.522", "mongoId" : "693072a870f0b99d58ffb87c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3134523/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "RF systems engineering", "Wireless coexistence", "Power optimization", "Silicon development", "Chipset architecture", "System integration", "RF system analysis", "SoC architecture", "SoC integration", "Leadership", "Innovation", "Wireless systems design", "Connectivity solutions", "Team leadership", "Chipset selection", "Budget management", "Headcount projections", "Performance evaluations", "Individual growth", "Recruiting", "Wireless technologies", "RF systems", "Custom silicon", "Semiconductor industry", "Wireless SoC architecture", "Wireless SoC integration", "Wireless protocols", "Simulation tools", "Predictive modeling" ], "skillCount" : 29, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "68e6b1da70f0b99d58d66c93", "title" : "Sr. Product Designer - AI Design Systems", "company" : "Amazon.com Services LLC", "industry" : "Design, alexa and amazon devices", "salary" : { "min" : 127100.0, "max" : 211600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T09:10:32.502", "fingerprint" : "1ca5301795bfa2418cae46c2ec6119d31b6c1a021ea6fb2687bf2a3b247d11d5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3101808/apply", "externalId" : "ee084a6d-6496-4865-a88c-f44b6eb695f5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "UX design, Interface design, Visual design, Design systems", "professionalSkills" : [ "Product strategy", "Program management", "Stakeholder management", "Roadmapping", "Prioritization", "Trade-offs" ], "hardSkillsList" : [ "Product requirements", "User research", "Usability testing", "Wireframes", "Prototypes", "Design standards" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Product requirements", "level" : "intermediate" }, { "name" : "User research", "level" : "intermediate" }, { "name" : "Usability testing", "level" : "intermediate" }, { "name" : "Wireframes", "level" : "intermediate" }, { "name" : "Prototypes", "level" : "intermediate" }, { "name" : "Design standards", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "AI design systems, Agentic experiences, Design system ownership, Product strategy", "majorSkillsList" : [ "AI design systems", "Agentic experiences", "Design system ownership", "Product strategy" ], "coreResponsibilities" : "Define AI-ready design system, Design AI-ready design system, Evolve AI-ready design system, Ensure system scalability, Define product requirements, Define user needs, Define system adoption goals, Prioritize features, Manage trade-offs, Establish success criteria, Align development with AI use cases, Future-proof requirements, Conduct user research, Validate design system adoption, Validate design system effectiveness, Create wireframes, Create prototypes, Create documentation, Maintain high-quality design standards, Ensure consistency, Ensure usability, Ensure accessibility, Align Product stakeholders, Align Engineering stakeholders, Align Research stakeholders, Align Brand stakeholders, Drive projects forward, Own program timelines, Facilitate design critiques, Manage cross-functional mechanisms, Manage feedback loops", "teamCollaboration" : "Cross-functional alignment; Cross-functional stakeholders; Cross-team partnership", "projectManagementSkills" : [ "Program management", "Roadmapping", "Prioritization", "Trade-offs", "Scrum" ], "domainKnowledge" : "AI-driven experiences; Agentic-AI future; Design process at scale; Amazon Devices shopping; Amazon.com; Echo & Alexa; Fire TV; Kindle E-readers; Ring & Blink security; Fire Tablets", "domainList" : [ "ai-driven-experiences", "agentic-ai-future", "design-process-at-scale", "amazon-devices-shopping", "amazon-com", "echo-alexa", "fire-tv", "kindle-e-readers", "ring-blink-security", "fire-tablets" ], "domainSpecificKnowledge" : [ "AI-driven experiences", "Agentic-AI future", "Design process at scale", "Amazon Devices shopping", "Amazon.com", "Echo & Alexa", "Fire TV", "Kindle E-readers", "Ring & Blink security", "Fire Tablets" ], "toolProficiency" : [ "Figma", "Prototyping tools", "Documentation platforms" ], "documentationSkills" : "Documentation", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem solving; Trade-offs", "outcomesObjectives" : "Delivering robust AI-ready design system; Accelerate design velocity; Accelerate consistency across products; Clear goal definition; Adoption and usage of system; Stakeholders aligned and engaged; Repeatable process for scaling system; Repeatable process for evolving system", "qualificationsBasic" : "6+ years of design experience, Define and maintain design patterns, Deliver design solutions for large scope, Work with stakeholders to plan programs, Online portfolio or work samples, Experience in design, wireframing, prototyping tools", "qualificationsPreferred" : "Experience applying scrum, UX design of complex workflows, Experience in product management, Experience in program management, Experience in project management", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking a Senior Product Designer to lead the creation of our AI-ready design system and agentic experiences for Amazon Devices shopping on Amazon.com. This role is a unique blend of UX design, product strategy, and program management. As the single-threaded owner, you will define the vision, unify stakeholders, and drive execution across Design, Product, Engineering, Research, and Marketing. You will be responsible for designing scalable design system components, setting product requirements, driving cross functional alignment, and prioritizing features while navigating trade-offs. This is a high-impact role where you will both design and orchestrate, ensuring our design system accelerates product innovation and supports AI-driven experiences across Devices and Amazon more broadly. This role is focused on building the foundations for and defining an agentic-AI future that accelerates and transforms the design process at scale. Key job responsibilities Design System Ownership - Define, design, and evolve an AI-ready design system for Amazon Devices digital shopping experiences (components, patterns, accessibility, documentation). - Ensure system scalability across multiple product surfaces and platforms. Product Strategy & Requirements - Partner with stakeholders to define product requirements, user needs, and system adoption goals. - Prioritize features, manage trade-offs, and establish measurable success criteria. - Align design system development with AI-driven use cases and future-proof requirements. UX Design Execution - Conduct user research and usability testing to validate design system adoption and effectiveness. - Create wireframes, prototypes, and documentation for design system usage. - Maintain high-quality design standards that ensure consistency, usability, and accessibility. Program & Stakeholder Management - Act as the single-threaded owner, aligning Product, Engineering, Research, and Brand stakeholders. - Drive projects forward with clear communication, accountability, and delivery focus. - Own program timelines, facilitate design critiques, and manage cross-functional mechanisms and feedback loops. Ideal Experience Includes - Hybrid Skillset: Strong UX design foundation, with experience in product management (requirements, roadmapping, prioritization, trade-offs). - Technical Collaboration: Proven track record of working closely with engineers to ensure system adoption and technical feasibility. - Leadership: Comfortable being the single-threaded owner of an initiative, balancing strategic vision with tactical execution. - Tools: Expert in Figma (or equivalent design tools), prototyping, and documentation platforms. - Mindset: User-centric, curious, detail-oriented, collaborative, decisive; thrives at the intersection of design and product strategy. What Success Looks Like: - Delivering a robust AI-ready design system that accelerates design velocity and consistency across products. - Clear goal definition and adoption and usage of the system across multiple teams. - Cross-functional stakeholders aligned and engaged in system development. - A repeatable process for scaling and evolving the system as AI and product needs grow. About the team We are a global organization spanning market research, UX research, and UX design that leads the strategic direction, design strategy, innovation, and customer experience for the Amazon Devices shopping experience on Amazon.com (supporting products across Echo & Alexa, Fire TV, Kindle E-readers, Ring & Blink security, Fire Tablets, and more). We also own the design and CX for automation & scaling tools, leveraging AI to drive efficiency and improve output quality. We execute market & UX research that informs Device hardware, software, marketing strategies, and shopping customer experience. We design platforms and programs to support device sales and engagement in e-commerce across shopping platforms (mobile/app/web), and execute ideas from start to end. Our team culture is rooted in collaboration, cross-team partnership, and bonding which drives innovation and maintains a safe and inclusive design & research community. Basic Qualifications: - 6+ years of design experience - Experience defining and maintaining design patterns and UX standards - Experience in delivering design solutions for projects of large scope and complexity - Experience working with stakeholders to plan and execute programs that are strategic in nature - Have an online portfolio or samples of work on resume, demonstrating experience creating great end-to-end, user-centered design solutions and patterns, across desktop and mobile devices - Experience in a variety of design, wire-framing, and prototyping tools Preferred Qualifications: - Experience applying scrum to visual or UX design processes - Experience with UX design of complex workflows - Experience in product, program, or project management in leading cross-functional teams in delivery of major new products or services - Experience building AI-integrated tools or systems. - Familiarity with design tokens, accessibility standards (WCAG), and component libraries at scale. - 2+ years contributing to or leading design systems Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $127,100/year in our lowest geographic market up to $211,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Sr. Product Designer - AI Design Systems at Amazon.com Services LLC. Skills: AI design systems, Agentic experiences, Design system ownership, Product strategy. Define AI-ready design system. Design AI-ready design system", "postedDate" : "2026-06-14T07:34:16.203", "createdAt" : "2026-06-14T07:34:16.203", "lastUpdated" : "2026-06-15T09:10:32.502", "ingestTimestamp" : "2026-06-14T07:34:16.203", "mongoId" : "68e6b1da70f0b99d58d66c93", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3101808/apply", "salaryAnnualMin" : 127100, "salaryAnnualMax" : 211600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Product requirements", "User research", "Usability testing", "Wireframes", "Prototypes", "Design standards", "Leadership", "AI design systems", "Agentic experiences", "Design system ownership", "Product strategy", "Program management", "Stakeholder management", "Roadmapping", "Prioritization", "Trade-offs", "Scrum", "AI-driven experiences", "Agentic-AI future", "Design process at scale", "Amazon Devices shopping", "Amazon.com", "Echo & Alexa", "Fire TV", "Kindle E-readers", "Ring & Blink security", "Fire Tablets", "Figma", "Prototyping tools", "Documentation platforms" ], "skillCount" : 30, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30564bf292fd229cf27008", "title" : "2027 Applied Science Intern (Machine Learning, Recommender Systems)", "company" : "Amazon International Machine Learning", "industry" : "Machine Learning Science, Applied Science, studentprograms", "salary" : { "min" : 60000.0, "max" : 80000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level intern in Melbourne, Australia, adjusted for the technology industry and a large company size." }, "location" : "Melbourne, Victoria, AUS", "locations" : [ "Melbourne, Victoria, AUS" ], "timestamp" : "2026-06-16T06:30:51.993", "fingerprint" : "d2525ba4ab6cd338003400b141588fa56f443eaf75abc3e4af337f5b6feedc6b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448558/apply", "externalId" : "837ecbba-8265-474b-ad19-5bee25dd5118", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-37.8142454,144.9631732" } ], "locationText" : "Melbourne, Victoria, Australia", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Python, SQL, Machine Learning, Recommender Systems, AWS", "hardSkillsList" : [ "Machine learning modeling", "Recommender system design", "Data analysis", "Algorithm development" ], "hardSkills" : [ { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "Recommender system design", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Recommender Systems, Python", "majorSkillsList" : [ "Machine Learning", "Recommender Systems", "Python" ], "coreResponsibilities" : "Design and implement machine learning models, Develop and maintain recommender systems, Analyze large datasets, Collaborate with engineering teams, Present findings to stakeholders", "teamCollaboration" : "Engineering teams; Cross-functional teams", "domainKnowledge" : "Machine learning; Recommender systems; Data science", "domainList" : [ "machine-learning", "recommender-systems", "data-science" ], "domainSpecificKnowledge" : [ "Machine learning", "Recommender systems", "Data science" ], "toolProficiency" : [ "AWS" ], "communicationSkills" : "Present findings", "problemSolvingSkills" : "Data analysis; Algorithm development", "qualificationsBasic" : "PhD required, 5+ years of experience in machine learning, Experience with recommender systems, Proficiency in Python, Proficiency in SQL", "qualificationsPreferred" : "Experience with large-scale data processing, Experience with AWS services, Experience with distributed systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you excited about leveraging and extending state-of-the-art Deep Learning, Information Retrieval, Natural Language Processing, Computer Vision algorithms to solve customer problems at the scale of Amazon? As an Applied Scientist Intern, you will be working in the Melbourne office in a fast-paced, cross-disciplinary team of experienced R&D scientists. You will take on complex problems, work on solutions that leverage existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even deliver these to production in customer facing products. Key job responsibilities - Develop novel solutions and build prototypes - Work on complex problems in Deep Learning and Generative AI - Contribute to research that could significantly impact Amazon operations - Collaborate with a diverse team of experts in a fast-paced environment - Present your research findings to both technical and non-technical audiences - Collaborate with scientists on writing and submitting papers to top ML conferences, e.g. NeurIPS, ICML, ICLR, AISTATS, ACL ICCV, CVPR, KDD. Key Opportunities: - Work in a team of ML scientists to solve applied science problems at the scale of Amazon - Access to Amazon services and hardware - Potentially deliver solutions to production in customer-facing applications - Opportunities to be hired full-time after the internship Join us in shaping the future of AI at Amazon. Apply now and turn your research into real-world solutions! Basic Qualifications: - Are enrolled in a PhD in computer science, machine learning, engineering, or related fields - Strong programming skills (Python preferred) Preferred Qualifications: - Experience researching about machine learning, deep learning, NLP, computer vision, data science - Publications in top-tier conferences such as NeurIPS, ICML, ICLR, AISTATS, ACL ICCV, CVPR, KDD, etc. Please list these publications on your resume. Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: 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" : "2027 Applied Science Intern (Machine Learning, Recommender Systems) at Amazon International Machine Learning. Skills: Machine Learning, Recommender Systems, Python. Design and implement machine learning models. Develop and maintain recommender systems", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:58:54.992", "lastUpdated" : "2026-06-16T06:30:51.993", "ingestTimestamp" : "2026-06-15T21:58:54.992", "mongoId" : "6a30564bf292fd229cf27008", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448558/apply", "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Machine learning modeling", "Recommender system design", "Data analysis", "Algorithm development", "Machine Learning", "Recommender Systems", "Python", "Machine learning", "Recommender systems", "Data science", "AWS" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca51974d8ee00a09b4ac2", "title" : "Director, Data Management and Systems", "company" : "Apogee Therapeutics", "industry" : "Biotech", "salary" : { "min" : 215000.0, "max" : 245000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T00:34:50.028", "fingerprint" : "a67a650203974e35a7812b79bd50b8cc4f96c4b227cf574f7ee5ceabd7897932", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/apogeetherapeutics/jobs/5161364007", "externalId" : "5161364007", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 12, "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data management", "Systems management", "Data engineering", "Machine learning", "Business intelligence", "Data analytics", "Quantitative analysis", "Statistical modeling" ], "hardSkillsList" : [ "Data warehousing", "ETL processes", "Data modeling", "Database administration", "Cloud computing", "Statistical analysis", "Machine learning algorithms", "Data visualization", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Database administration", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data management, Systems management, Machine learning, Business intelligence", "majorSkillsList" : [ "Data management", "Systems management", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Oversee data management systems, Ensure data integrity, Develop and implement data strategies, Manage data governance policies, Lead data engineering initiatives, Build and maintain data pipelines, Optimize data storage and retrieval, Implement data quality controls, Drive analytics and BI initiatives, Develop predictive models, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "domainKnowledge" : "Genomics; Drug discovery; Clinical trials", "domainList" : [ "genomics", "drug-discovery", "clinical-trials" ], "domainSpecificKnowledge" : [ "Genomics", "Drug discovery", "Clinical trials" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Stakeholder communication", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Apogee Therapeutics Founded in 2022, Apogee Therapeutics, Inc. (Ticker: APGE) is a well-funded, Nasdaq listed company that offers the opportunity to work in a fast-paced, highly dynamic environment. At Apogee, you can actively contribute to shaping the company culture, take on various roles and responsibilities, and grow professionally. Apogee Therapeutics is a clinical-stage biotechnology company advancing novel biologics with potential for differentiated efficacy and dosing in the largest I ensure accountability and high-quality deliverables. Lead vendor selection and contract input for DM-related services. People Leadership advanced degree preferred. 12+ years of experience in clinical data management within biotech, pharma, or CRO environments. Experience in both operational DM and systems/technology implementation. Demonstrated leadership of DM activities across multiple clinical trials and programs. Technical Expertise Deep knowledge of EDC systems (e.g., Medidata Rave). Strong understanding of CDISC standards (SDTM, CDASH) and data lifecycle. Experience with data integrations, external data (labs, imaging, biomarkers), and decentralized trial technologies. Familiarity with data visualization and analytics tools is a plus. Leadership & Competencies Proven ability to lead cross-functional teams and influence at the program level. Strong strategic thinking with hands-on execution capability. Excellent communication and stakeholder management skills. Experience in fast-paced, growing organizations preferred. Ability to bridge systems/technology with clinical execution. Strong ownership mindset over data quality and delivery timelines. Proactive, solutions-oriented approach to complex data challenges. Effective leadership in ambiguity and evolving clinical landscapes. The anticipated salary range for candidates for this role will be $215,000 - $245,000/year. The final salary offered will depend on several factors, which may include, but is not limited to relevant years of experience, educational background, and geography. What We Offer A great culture, grounded in our C.O.R. E. values: Caring, Original, Resilient and Egoless Opportunity to work in a fast-paced, highly dynamic environment where you help shape the culture and company, wear multiple hats, and learn quickly Market competitive compensation and benefits package, including base salary, performance bonus, equity grant opportunities, health, welfare & retirement benefits We provide competitive time off, including three weeks PTO, two one-week company-wide shutdowns a year and dedicated paid sick leave Commitment to growing you professionally and providing access to resources to further your development Apogee offers regular all team, in-person meetings to build relationships and problem solve E-Verify Participation: As part of the I9 verification of authorization to work in the US, Apogee participates in E-Verify. To learn more about E-Verify please review this poster. Apogee Therapeutics is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. To review our privacy policy, click here It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.", "summaryDescription" : "Director, Data Management and Systems at Apogee Therapeutics. Skills: Data management, Systems management, Machine learning, Business intelligence. Oversee data management systems. Ensure data integrity", "postedDate" : "2026-06-14T20:07:58.302", "createdAt" : "2026-06-14T20:07:58.302", "lastUpdated" : "2026-06-16T00:34:50.028", "ingestTimestamp" : "2026-06-14T20:07:58.302", "mongoId" : "6a2ca51974d8ee00a09b4ac2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 245000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data warehousing", "ETL processes", "Data modeling", "Database administration", "Cloud computing", "Statistical analysis", "Machine learning algorithms", "Data visualization", "A/B testing", "Causal inference", "Data management", "Systems management", "Machine learning", "Business intelligence", "Data engineering", "Data analytics", "Quantitative analysis", "Statistical modeling", "Genomics", "Drug discovery", "Clinical trials", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca68b74d8ee00a09bc130", "title" : "Manager, Recruiting Operations and Systems", "company" : "Apptronik", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Recruiting Operations and Systems in Austin, United States, adjusted for industry and seniority." }, "location" : "Austin, TX", "locations" : [ "Austin", "TX" ], "timestamp" : "2026-06-16T03:14:09.048", "fingerprint" : "78665af60b8fcb857d968c6d6016e36d4398d93bf3d20b1d9c5ed6a571a6cbb6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/apptronik/jobs/6026924004?gh_jid=6026924004", "externalId" : "6026924004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceLevel" : "Manager", "professionalSkills" : [ "Talent management", "Employee relations", "HR processes", "Organizational development" ], "majorSkills" : "Recruiting operations, HR systems", "majorSkillsList" : [ "Recruiting operations", "HR systems" ], "coreResponsibilities" : "Manage recruiting operations, Oversee HR systems, Drive talent acquisition strategies, Enhance employee experience, Develop HR policies, Ensure compliance, Analyze HR data, Manage HR projects", "teamCollaboration" : "Cross-functional teams; Leadership stakeholders", "domainKnowledge" : "Recruiting best practices; HRIS systems; Talent acquisition", "domainList" : [ "recruiting-best-practices", "hris-systems", "talent-acquisition" ], "domainSpecificKnowledge" : [ "Recruiting best practices", "HRIS systems", "Talent acquisition" ], "qualificationsBasic" : "8+ years experience", "rawDescription" : "Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better. JOB SUMMARY The Senior Manager, Recruiting Ops and Systems will drive operational excellence, data maturity, and infrastructure scalability for our Talent Acquisition team. This leader will initially operate as a hands-on builder, owning reporting, analytics, systems optimization, and data governance while establishing the processes and infrastructure that will support future team expansion. This pivotal role is responsible for transforming raw recruiting data into strategic insights, architecting a robust internal knowledge base, and leading a high-performing coordination team. The ideal candidate is a curious, data-driven systems thinker and proactive doer who thrives on building from the ground up rather than purely managing existing environments. ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES Recruiting Data, Reporting, and Analytics Design, build, and maintain comprehensive, real-time recruiting dashboards and reports to track key performance indicators (KPIs) such as time-to-hire, quality-of-hire, pipeline health, and sourcing channel efficiency. Architect reporting solutions and data models from ambiguous or incomplete baseline business requirements, turning complex raw metrics into highly structured, clear data points. Analyze complex recruiting datasets to identify operational bottlenecks, predict hiring trends, and provide data-driven recommendations to talent leadership and business stakeholders. Audit and maintain data integrity within the Applicant Tracking System (ATS) and ancillary tools, establishing strict data governance policies and team compliance. Systems Infrastructure and Knowledge Management Lead the hands-on architecture, content creation, and continuous improvement of the recruiting team’s internal intranet/knowledge base, documenting workflows, tech stack configurations, KPI communication and team policies. Build and scale a centralized repository of enablement and training materials tailored specifically for hiring managers, interviewers, and interview panels to elevate company-wide interview capability. Manage vendor relationships and maximize the ROI of the recruiting technology stack, overseeing system integrations, routine updates, and internal tool adoption. Team Leadership and People Management Provide direct leadership, coaching, and professional development to coordinators and ops personnel, ensuring exceptional candidate experiences and seamless interview logistics. Strategic planning for future operations team growth, including the eventual headcount justification, onboarding, and management of an individual contributor (IC) Reporting Analyst. Establish performance standards, manage team capacity, and cultivate a collaborative, highly organized team culture. SKILLS AND REQUIREMENTS A true 'doer' and hands-on builder mentality; comfortable executing technical work from scratch rather than solely consuming or managing pre-existing reporting environments. Strong SQL proficiency (including writing complex queries, joins, aggregations, data validation, and structural troubleshooting). Advanced Power BI development capabilities, including robust hands-on experience with DAX and Power Query. Proven understanding of data modeling concepts and KPI frameworks built from ambiguous or evolving data landscapes. Familiarity or foundational exposure to cloud data warehouse environments (e.g., BigQuery, Snowflake, Redshift). Advanced proficiency with modern Applicant Tracking Systems (Greenhouse highly preferred) and data visualization ecosystems. Proven experience in architecting and maintaining centralized internal knowledge bases, intranets, or wikis (e.g., Confluence, Notion, SharePoint). Strong project management skills with a track record of successfully implementing scalable operational processes across a talent function. Exceptional communication and presentation skills, with a proven ability to translate complex technical or analytical concepts into actionable narratives for non-technical stakeholders. Natural leadership capability with a passion for mentoring, developing, and managing operational personnel or coordinator teams. EDUCATION and/or EXPERIENCE Bachelor’s degree (or equivalent) in Human Resources, Business Administration, Data Analytics, or related field At least 8 years of experience in talent acquisition operations, recruiting systems management, or recruiting data analytics At least 2 years of experience directly managing people, preferably within a recruiting or talent operations environment Proven track record of implementing and integrating new products within a recruiting tech stack while managing continuous change in a high-growth environment. PHYSICAL REQUIREMENTS Prolonged periods of sitting at a desk and working on a computer Must be able to lift 15 pounds at times Vision to read printed materials and a computer screen Hearing and speech to communicate *This is a direct hire. Please, no outside Agency solicitations. Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.", "summaryDescription" : "Manager, Recruiting Operations and Systems at Apptronik. Skills: Recruiting operations, HR systems. Manage recruiting operations. Oversee HR systems", "postedDate" : "2026-06-14T18:37:09.212", "createdAt" : "2026-06-14T18:37:09.212", "lastUpdated" : "2026-06-16T03:14:09.048", "ingestTimestamp" : "2026-06-14T18:37:09.212", "mongoId" : "6a2ca68b74d8ee00a09bc130", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Recruiting operations", "HR systems", "Talent management", "Employee relations", "HR processes", "Organizational development", "Recruiting best practices", "HRIS systems", "Talent acquisition" ], "skillCount" : 9, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305854f292fd229cf415a5", "title" : "ICT Design Engineer (Information and Communications Technology)", "company" : "Ehvert Inc", "salary" : { "min" : 1200000.0, "max" : 2400000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior ICT Design Engineer in the Philippines, adjusted for remote work and the technology industry." }, "location" : "Philippines", "locations" : [ "Philippines" ], "timestamp" : "2026-06-16T08:13:57.448", "fingerprint" : "4e5086ce26e149bbe80f21d9e0bfac9b16de26d7d335b9deacd448ca73aafc41", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://ehvert-engineering-inc.breezy.hr/p/80c5110343dc-ict-design-engineer-information-and-communications-technology", "externalId" : "80c5110343dc", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Philippines", "continent" : "as", "workMode" : "remote" } ], "locationText" : "Philippines", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Provide ICT design engineering services", "domainKnowledge" : "Mission-Critical Facilities; Data Centers", "domainList" : [ "mission-critical-facilities", "data-centers" ], "domainSpecificKnowledge" : [ "Mission-Critical Facilities", "Data Centers" ], "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Location: Philippines, Remote Industry: Mission-Critical Facilities, Data Centers Engagement Type: Independent Contractor Agreement for Provision of Services (long-term) Ehvert Mission Critical, a business unit within Salas O’Brien, is seeking an experienced Information and Communications Technolo", "summaryDescription" : "ICT Design Engineer (Information and Communications Technology) at Ehvert Inc. Provide ICT design engineering services", "createdAt" : "2026-06-15T22:12:05.662", "lastUpdated" : "2026-06-16T08:13:57.448", "ingestTimestamp" : "2026-06-15T22:12:05.662", "mongoId" : "6a305854f292fd229cf415a5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Mission-Critical Facilities", "Data Centers" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7c8b74d8ee00a094db1b", "title" : "Workforce Management and Systems Intern", "company" : "Indie Campers", "industry" : "Hospitality", "salary" : { "min" : 10000.0, "max" : 15000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an entry-level internship in Lisboa, Portugal, adjusted for the travel industry." }, "location" : "Lisboa, Lisboa, Portugal", "locations" : [ "Lisboa", "Lisboa", "Portugal" ], "timestamp" : "2026-06-16T01:30:20.095", "fingerprint" : "8787326c17ac5f0f5457dfbd272f7418f5ebf953832ce4a922974877f129d149", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/indiecampers-linkedin/jobs/8564453002", "externalId" : "8564453002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lisboa", "state" : "Lisboa", "country" : "Portugal", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "38.7077507,-9.1365919" } ], "locationText" : "Lisboa, Lisboa, Portugal", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "qualificationsBasic" : "0-2 years in WFM, 0-2 years in operations, 0-2 years in analytics", "qualificationsPreferred" : "Exposure to contact centers, Exposure to BPO environments, Exposure to operational systems", "rawDescription" : "ABOUT US Indie Campers, the go-to campervan Marketplace, is on a mission of making road trips available to everyone. Thanks to its digital approach and customer-centric orientation, Indie Campers has developed a strong booking experience and high-quality road trips at affordable prices. With over one million nights rented through our travel platform, we have welcomed more than 300,000 travelers from 169 countries. We offer a comprehensive and expanding array of road trip possibilities: short-term RV rentals, long-term campervan subscriptions, and the possibility of buying one of our vehicles available for sale. Rooted in a deep technological focus, our challenges are both exciting and demanding and require top talent and motivation to be successfully pursued. We are growing our team and looking for those interested in pursuing this dream with us and joining an ever-developing journey. THE ROLE We are looking for a Workforce Management 0–2 years in WFM, operations, analytics, or similar roles. Exposure to contact centers, BPO environments, or operational systems is a plus. WHAT WE OFFER The opportunity to contribute to the scaling of a unique global company in a fast-growing market. Work with outstanding professionals from multiple nationalities and backgrounds in a dynamic scale-up environment. Competitive benefits including health insurance, travel and education vouchers, road trips in our campervans, and free snacks and coffee in the office.", "summaryDescription" : "Workforce Management and Systems Intern at Indie Campers", "postedDate" : "2026-06-14T19:19:43.140", "createdAt" : "2026-06-14T19:19:43.140", "lastUpdated" : "2026-06-16T01:30:20.095", "ingestTimestamp" : "2026-06-14T19:19:43.140", "mongoId" : "6a2c7c8b74d8ee00a094db1b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Travel", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a1e0f292fd229c116bc7", "title" : "Senior Systems Engineer, Commercial Intelligence and Analytics", "company" : "The Trade Desk", "salary" : { "min" : 103200.0, "max" : 189200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Los Angeles", "locations" : [ "Los Angeles" ], "timestamp" : "2026-06-16T11:28:25.573", "fingerprint" : "d7e262297b8635fe92de83a9e768ba73a30f8a99e9e2492dc5e8510de2d3073a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/thetradedesk/jobs/5165087007", "externalId" : "5165087007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more. Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly. The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you. We are seeking a Senior Systems Engineer, Commercial Intelligence and Analytics to build high-impact analytical systems supporting TTD’s cross-functional teams, with a focus on Sales and Client Services. This role sits at the intersection of commercial analytics, applied intelligence, and go-to-market execution. You will identify system gaps, design solutions, and ship scalable data systems, insight pipelines, and automated workflows that support a broad set of internal stakeholders. Working across Commercial Operations, Revenue Operations, Business Technology, Finance, and related teams, you will help translate analysis into proactive signals that improve prioritization, decision-making, and field execution. This role owns the engineering lifecycle of intelligence systems from requirements and architecture through deployment, monitoring, and iteration. You will work closely with other teams to deliver clear, trusted, and actionable intelligence that improves seller focus, client outcomes, and the overall client experience at TTD. What we do Commercial Operations is composed of closely connected functions that help TTD grow revenue in a disciplined, scalable, and data-driven way. Across these teams, we improve visibility, standardize key metrics, strengthen decision support, and help client-facing teams act with greater precision and consistency. Within this organization, Commercial Intelligence and Analytics turns commercial, product, and client data into insight products that support internal teams and improve how TTD serves, grows, and retains clients. We build data pipelines, signal frameworks, and decision-support systems that help Sales and Client Services teams understand portfolio health, prioritize effort, identify risk and opportunity earlier, and engage clients more effectively. Our work spans scalable reporting infrastructure, proactive signal delivery, and AI-assisted workflows that operationalize intelligence into durable, production-grade systems. Core mission The Senior Systems Engineer owns the design, development, and reliability of intelligence systems from requirements through production. This includes identifying where systems, automation, or infrastructure improvements can unlock better decision support. It also includes architecting insight pipelines, defining technical requirements, and building and deploying scalable solutions. The systems you build should be trusted, understandable, and useful. Success in this role is measured by the durability, reliability, and impact of the systems you ship. What you'll work with Python, SQL, Snowflake, Tableau, Git/GitLab (CI/CD), LLM APIs, Docker, Jira, Confluence What you'll do Own and maintain the production systems that surface revenue performance, portfolio health, renewal dynamics, client opportunity, and service risk so internal teams can act on the right priorities with confidence. Design, build, and operate proactive insight pipelines, translating recurring business needs into system architecture, data models, signal logic, and production-ready outputs so intelligence can be delivered consistently at scale. Work directly with Business Technology and Revenue Operations to integrate intelligence outputs into dashboards, alerting systems, and operational workflows so signals reach users through the tools where decisions are made. Build and deploy tools, signals, and automated deliverables that help teams prioritize effort, identify risk and opportunity, and act with greater precision so commercial resources are directed where they matter most. Build trusted, production-grade data assets and pipelines using SQL, Python, validated metrics, and well-documented logic so downstream systems remain reliable, explainable, and maintainable. Integrate AI and LLM capabilities into systems and workflows to accelerate exploration, automate documentation, detect anomalies, and improve pipeline quality so teams can move faster without sacrificing rigor. Translate ambiguous commercial problems into concrete technical plans, stakeholder-aligned requirements, and measurable deliverables. Identify and prioritize scalable system investments that are actionable and likely to drive broad commercial impact. Embed intelligence outputs into go-to-market systems and instrument delivery to assess whether signals reach the right users, inform action, and improve outcomes. Raise the team’s engineering bar through rigorous documentation, automated testing, metric governance, and repeatable, version-controlled workflows. Required qualifications 5+ years of experience in analytics engineering, data engineering, software engineering, or a similarly systems-oriented role with strong quantitative foundations. Strong SQL skills and experience working with large, complex datasets in modern data environments. Proficiency in Python for building production systems, automation, and data pipeline development. Strong foundation in software development practices including version control (Git), code review, testing, and CI/CD pipelines. Experience translating business requirements into technical designs, system architecture, and production-ready deliverables. Experience building durable, automated systems rather than relying on ad hoc or manual processes. Demonstrated track record of identifying opportunities, proposing solutions, and independently driving systems, automation or technical initiatives from concept through adoption, often in ambiguous or loosely defined environments. Experience operating in technical environments while collaborating with a broad set of internal stakeholders, including client-facing teams. Familiarity with AI- or LLM-assisted tools and strong judgment in applying them responsibly and validating outputs to ensure accuracy, rigor, and reliability. Strong written and verbal communication skills, including the ability to explain findings and tradeoffs clearly to a range of stakeholders. Strong attention to data quality, metric consistency, and engineering rigor. Preferred qualifications Experience supporting Sales, Client Services, Revenue Operations, or other go-to-market teams in analytically rigorous environments. Experience deploying proactive signals, recommendations, or decision-support systems into production environments. Experience building and maintaining production data pipelines or ETL/ELT systems. Familiarity with advertising technology, digital media, measurement, or platform-based commercial models. Experience working in high-growth, data-intensive organizations where analytics support multiple stakeholders and workflows. Experience with Salesforce, planning tools, product telemetry, and enterprise data platforms such as Snowflake or Databricks. #LI-JS1 The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. [LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652. [SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. In accordance with various US state laws, the range provided is the Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as variable compensation-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan. The Trade Desk also offers a competitive benefits package. Click here to learn more. Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $103,200—$189,200 USD As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive. Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process. When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.", "summaryDescription" : "Senior Systems Engineer, Commercial Intelligence and Analytics at The Trade Desk", "postedDate" : "2026-06-16T03:17:19.808", "createdAt" : "2026-06-16T03:17:19.808", "lastUpdated" : "2026-06-16T11:28:25.573", "ingestTimestamp" : "2026-06-16T03:17:19.808", "mongoId" : "6a30a1e0f292fd229c116bc7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 103200, "salaryAnnualMax" : 189200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a2d5f292fd229c120665", "title" : "Design Lead", "company" : "Monograph", "industry" : "SaaS", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Design role in the SaaS industry in Bulgaria, adjusted for seniority and remote work." }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T10:09:22.858", "fingerprint" : "320820ce383acb667bc37e042a09d300444afd948dce00f60018a9482e533a00", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://monograph.com/careers-post?gh_jid=6017824004", "externalId" : "6017824004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "JavaScript", "professionalSkills" : [ "Design systems", "User experience", "Interface design", "Visual design" ], "majorSkills" : "Design Lead, User experience, Interface design", "majorSkillsList" : [ "Design Lead", "User experience", "Interface design" ], "coreResponsibilities" : "Design user experiences, Design interfaces, Design visuals, Manage design systems, Create GIFs, Create motion graphics, Create product explainers, Create digital storytelling assets, Design event assets, Design trade show assets, Design booth graphics, Design large-format environments", "teamCollaboration" : "External agencies; Freelancers; Printers; Booth vendors; Production partners", "domainKnowledge" : "Architecture; Engineering; Construction; Professional services; Vertical SaaS", "domainList" : [ "architecture", "engineering", "construction", "professional-services", "vertical-saas" ], "domainSpecificKnowledge" : [ "Architecture", "Engineering", "Construction", "Professional services", "Vertical SaaS" ], "toolProficiency" : [ "Webflow" ], "communicationSkills" : "Communication skills", "qualificationsBasic" : "Basic JavaScript familiarity, Attention to detail, QA and execution, Manage multiple priorities, Work independently, Move quickly in startup environment, Communication skills, Sound design judgment, Experience working with external agencies, Experience working with freelancers, Experience working with printers, Experience working with booth vendors, Experience working with production partners", "qualificationsPreferred" : "Experience designing event assets, Experience designing trade show assets, Experience designing booth graphics, Experience designing large-format environments, Experience creating GIFs, Experience creating lightweight motion graphics, Experience creating product explainers, Experience creating digital storytelling assets, Experience in architecture, Experience in engineering, Experience in construction, Experience in professional services, Experience in vertical SaaS markets, Experience supporting CRO programs, Experience supporting A/B testing programs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Look around you today, every store, home, hospital, school, was made possible by the coordination of architects and a team of professionals. They are charged with the responsibility of creating our shelters and yet, they are left with nothing more than Excel to manage their work. We're here to change that. What is Monograph? Monograph is a firm performance management platform for architecture and engineering practices. Firms use Monograph to make quick and confident decisions about budgeting and resources to drive their practices forward. Why Work at Monograph? People first: Core to the team, we believe in people first, curiosity, and empathy. You'll be a culture ambassador and deploy your genuine value for relationships to drive success and happiness. Build a company that will redefine architecture: Project management is just the beginning...we have big ambitions to help facilitate the entire design process from becoming the document source of truth to coordinating with consultants. You can shape the future of building design. Work with some of the best product people in the world: We’re an innovative team of highly productive individual contributors with a strong design background. You will be doing some of the best work of your life. Location: Remote This is a remote role, on a remote-first team. You must be permanently located in the United States, Canada, Brazil or Mexico. About the Role We are looking for a hands-on Design Lead, Web basic JavaScript familiarity preferred. Strong attention to detail, QA, and execution. Ability to manage multiple priorities, work independently, and move quickly in a startup environment. Strong communication skills and sound design judgment. Experience working with external agencies, freelancers, printers, booth vendors, and other production partners. Nice to Have Experience designing event and trade show assets, including booth graphics or large-format environments. Experience creating GIFs, lightweight motion graphics, product explainers, and other digital storytelling assets. Experience in architecture, engineering, construction, professional services, or other vertical SaaS markets. Experience supporting CRO or A/B testing programs. How to Apply Please include a portfolio with your application. Applications without a portfolio will not be considered. Your portfolio must include live Webflow examples and clearly state what you personally designed, built, animated, maintained, or launched. Additional Details The compensation depends on experience and location. We encourage individuals from underrepresented backgrounds, including women and minorities, to apply for this position. We believe in creating a diverse and inclusive workplace and welcome candidates who may not meet every listed requirement but are eager to contribute and grow within our team. Even if you don't meet every requirement, we still encourage you to apply. You'll Love Our Benefits \uD83C\uDFAD Innovative engineering and product culture \uD83D\uDCB0 Early-stage well-funded company ❤️ Inclusion and diversity as a company priority And for US-based, full-time employees: \uD83C\uDF21 100% premium coverage on our healthcare plans for employees and their families \uD83E\uDDB7 Dental & vision coverage for employees and families \uD83D\uDDA5 New laptop & equipment \uD83C\uDFCB\uD83C\uDFFB‍♀️ Wellness Stipend", "summaryDescription" : "Design Lead at Monograph. Skills: Design Lead, User experience, Interface design. Design user experiences. 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As an AI Engineer at HiO, you’ll craft scalable, low-latency AI systems - from LLM orchestration to real-time APIs - using Python, LangGraph, and modern cloud stacks. Fast-paced, high-impact, and deeply hands-on. What you’ll do Design, build, and mainta", "summaryDescription" : "Senior Artificial Intelligence Engineer at Talentuch. Skills: AI Engineering, LLM orchestration. Design AI systems. 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For over 55 years ASM has been ahead of what’s next, at the forefront of innovation and what’s technologically possible. With more than 4,500 ASMers representing 70 nationalities, our people and our advanced semiconductor devices are playing a crucial role in trends such as 5G, cloud computing, AI, and autonomous driving.  But we’re more than just a tech company. We value diversity, inclusion and sustainability as we strive to make a positive impact on the world. Our development programs help support your growth, shaping your future and pushing the boundaries of innovation to unleash potential. Reporting to the Expert System Engineering Manager, the Principal Engineer for Electrostatic Chuck (ESC) is accountable for the design, and delivery of hardware engineering solutions focused on ESC and heaters technology. The Engineer will be responsible for focusing on the development of highly innovative technologies over legacy solutions. Key Responsibilities Lead the design and development of ESC and heaters hardware platforms and modules. Ensure timely delivery of new components and modules designs including safety, specifications, conceptual configuration, detailed design, factory release, configuration control, and documentation. Support customer-specific designs and product cost reduction initiatives. Drive new technology exploration and development of new processes. Establish budgets and measurable performance indicators for the program/ project Manage engineering projects to meet deliverables, quality, budget, and timing. Foster a collaborative and engaging environment across departments and suppliers. Collaborate with universities, research institutes, and engineering firms for breakthrough technological solutions. Motivated to drive innovation through R&D and create patents. Required Qualifications Master’s degree or PhD in Mechanical or Electrical Engineering. Experience in hardware engineering including semiconductor processing. Expertise in material science including AlN, Al2O3, SiC, and C22 alloys. Understanding of failure modes and process performance behavior. Knowledge of clamping mechanisms and thermal engineering. Experience in vacuum and plasma physics. Proficiency in mechanical design and manufacturing processes. Demonstrated system thinking capabilities. Preferred Skills and Experience Proven ability to create performing components and modules Track record of delivering engineering solutions in multicultural and dynamic environments. Advance thinking and long-term planning. Effective communication across diverse audiences. Team building and networking capabilities. Experience in global organizations. Hands-on R&D experience and familiarity with fab equipment. Supplier management includes communication, negotiation, strategic planning, and problem solving. Innovation mindset Apply today to be part of what’s next. We make the tech that enables the chips in devices which improve lives around the world. We do this with an eye to the future, pushing the boundaries of what’s possible through cutting-edge innovation, and driving the next wave of technological breakthroughs that shape how we live, work, and connect. To learn more about ASM, find us at asm.com and on LinkedIn, Facebook, Instagram, X and YouTube. ASM is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, age, nationality, social or ethnic origin, sexual orientation, gender, gender identify or expression, marital status, pregnancy, political affiliation, disability, genetic information, veteran status, or any other characteristic protected by law.", "summaryDescription" : "Principal Engineer, Systems Engineering (Systems and Mechanical Engineering – Electrostatic Chuck (ESC)) at ASM America Inc.", "postedDate" : "2026-06-15T23:29:02.200", "createdAt" : "2026-06-15T23:29:02.200", "lastUpdated" : "2026-06-16T09:16:50.419", "ingestTimestamp" : "2026-06-15T23:29:02.200", "mongoId" : "6a3067a5f292fd229cfc00f0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 190000, "salaryAnnualMax" : 275000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307f0af292fd229c054af8", "title" : "Senior Software Engineering Manager, AI/ML Recommendations, Rankings, Predictions, YouTube", "industry" : "Media", "salary" : { "min" : 250000.0, "max" : 400000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior Software Engineering Manager in the Technology industry in San Bruno, United States, adjusted for seniority and manager experience." }, "location" : "[San Bruno, CA, USA, [901 Cherry Ave, San Bruno, CA 94066, USA], San Bruno, 94066, CA, US]", "locations" : [ "[San Bruno, CA, USA, [901 Cherry Ave, San Bruno, CA 94066, USA], San Bruno, 94066, CA, US]" ], "timestamp" : "2026-06-16T14:57:09.957", "fingerprint" : "d2c838d1acc5439743741f3b5b5719419e03eccaa8df6a52fc84e8e398b32d7d", "source" : "google", "language" : "en", "externalId" : "93241287624270534", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Bruno", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6248536,-122.4145986" } ], "locationText" : "San Bruno, California, United States", "experienceLevel" : "Manager", "summaryDescription" : "Senior Software Engineering Manager, AI/ML Recommendations, Rankings, Predictions, YouTube", "postedDate" : "2026-06-16T01:52:03.891", "createdAt" : "2026-06-16T01:52:03.891", "lastUpdated" : "2026-06-16T14:57:09.957", "ingestTimestamp" : "2026-06-16T01:52:03.891", "mongoId" : "6a307f0af292fd229c054af8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 400000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "68c2e437f8b1b0376634c88c", "title" : "Executive Assistant, Artificial General Intelligence", "company" : "Amazon.com Services LLC", "industry" : "Administrative Support, Artificial Intelligence", "salary" : { "min" : 66800.0, "max" : 142800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-16T04:27:03.284", "fingerprint" : "eb4f6c480b134c9b55b843d1124669d14052ca03a677131eeb77bf81f2be4d15", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3072562/apply", "externalId" : "65a1a7a1-b009-4fc5-8c94-f812fe84e87a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High school or equivalent diploma", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "The Amazon Artificial General Intelligence organization is looking for an Executive Assistant to support two directors work within a fast-paced and exciting organization. This Executive Assistant will be responsible for handling confidential information and maintaining professionalism in dealing with senior executives. Role responsibilities include managing multiple complex calendars, planning and organizing events of all sizes, and coordinating domestic and international travel. A successful candidate will help build a positive team environment and establish working relationships inside and outside of the group. Basic Qualifications: - 5+ years of senior level leadership support, or 3+ years of Amazon experience - High school or equivalent diploma - Experience with Microsoft Office products and applications - Knowledge of Microsoft Office products and applications Preferred Qualifications: - Experience leading process improvements - Experience in a fast-paced, high-tech company - Experience designing processes to maximize efficiency Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $66,800/year in our lowest geographic market up to $142,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Executive Assistant, Artificial General Intelligence at Amazon.com Services LLC", "postedDate" : "2026-06-14T19:48:07.192", "createdAt" : "2026-06-14T19:48:07.192", "lastUpdated" : "2026-06-16T04:27:03.284", "ingestTimestamp" : "2026-06-14T19:48:07.192", "mongoId" : "68c2e437f8b1b0376634c88c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3072562/apply", "salaryAnnualMin" : 66800, "salaryAnnualMax" : 142800, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3086aff292fd229c082548", "title" : "Treasury Optimization Specialist", "company" : "Point72", "industry" : "Banking", "salary" : { "min" : 150000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Treasury Optimization Specialist in North America, adjusted for the financial services industry and a large company size." }, "location" : "North America", "locations" : [ "North America" ], "timestamp" : "2026-06-16T14:09:04.932", "fingerprint" : "1f3f872e9daa0f21544bf0f5ef7b32405bad68fc6b3131ea3a7efa4039dd7dc0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/point72/jobs/8568776002?gh_jid=8568776002", "externalId" : "8568776002", "industryFunction" : { }, "structuredLocations" : [ { "continent" : "na", "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Excel, PowerPoint", "professionalSkills" : [ "Financing", "Liquidity management", "Capital efficiency", "Balance sheet optimization", "Counterparty financing" ], "hardSkillsList" : [ "Analytical models", "Data analysis" ], "softSkillsList" : [ "Self-starter mindset" ], "hardSkills" : [ { "name" : "Analytical models", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Self-starter mindset" } ], "majorSkills" : "Treasury optimization, Financing, Liquidity", "majorSkillsList" : [ "Treasury optimization", "Financing", "Liquidity" ], "coreResponsibilities" : "Design systems, Build analytics, Optimize firmwide financing, Optimize liquidity, Optimize cost of capital, Optimize balance sheet efficiency, Analyze funding structures, Analyze margin usage, Analyze collateral usage, Analyze cash balances, Analyze counterparty financial resources, Improve financing capacity, Improve liquidity management, Improve capital efficiency, Develop forward-looking models, Develop frameworks, Assess funding stress scenarios, Assess balance sheet utilization, Assess capital trade-offs, Support strategic decisions, Partner globally, Enhance treasury workflows, Enhance data integrity, Enhance reporting, Coordinate with external counterparties, Improve financing data, Improve reporting, Improve process effectiveness, Translate quantitative data, Translate operational data, Translate contractual data, Create clear insights, Create materials for management, Create dashboards, Create written commentary, Create presentations", "teamCollaboration" : "Treasury teams; 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You will gain exposure to a variety of financial instruments including equities, derivatives, bonds, foreign exchange, and futures across global markets. You will support the credit and treasury functions which requires verifying, analyzing, and when necessary, disputing margin calls and recalls, reporting on counterparty exposure, investing the firm's excess cash, and negotiating margin requirements with the firm's prime brokers and derivative counterparties. What you'll do Design and build systems, analytics, and reporting to optimize firmwide financing, liquidity, cost of capital, and balance sheet efficiency across asset classes and counterparties. Analyze funding structures, margin and collateral usage, cash balances, and counterparty financial resources to improve financing capacity, liquidity management, and capital efficiency. Develop forward-looking models and frameworks to assess funding stress scenarios, balance sheet utilization, and capital trade-offs, supporting strategic decisions on financing mix, tenor, counterparty selection, and product usage. Partner globally across our treasury, investment services, risk, operations, and technology teams to enhance treasury workflows, data integrity, and reporting. Coordinate with external counterparties such as prime brokers, banks, and financing providers to improve financing data, reporting, and process effectiveness. Translate complex quantitative, operational, and contractual data into clear insights and materials for senior management, including dashboards, written commentary, and presentations. What's required 5+ years of experience in treasury, financing, capital markets, or risk within a hedge fund, asset manager, bank, or similar financial institution. Deep knowledge of financing and liquidity mechanics across equities, bonds, futures, options, swaps, foreign exchange, repurchase agreements, and prime brokerage structures. Demonstrated experience with margining, collateral management, balance sheet optimization, and counterparty financing dynamics. Proven ability to design and build analytical models, dashboards, or systems that support treasury and financing decisions. Experience working with and deriving insights from large, complex datasets and communicating results to both technical and non-technical stakeholders. Advanced proficiency in Microsoft Excel and PowerPoint. Strong organizational skills and meticulous attention to detail in a fast-paced, multi-stakeholder environment. Self-starter mindset with the ability to work independently and collaborate effectively within a team. Commitment to the highest ethical standards. We take care of our people We invest in our people, their careers, their health, and their well-being. When you work here, we provide: Fully-paid health care benefits Generous parental and family leave policies Volunteer opportunities Support for employee-led affinity groups representing women, people of color and the LGBT+ community Mental and physical wellness programs Tuition assistance A 401(k) savings program with an employer match and more About Point72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72.com/.", "summaryDescription" : "Treasury Optimization Specialist at Point72. Skills: Treasury optimization, Financing, Liquidity. Design systems. 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EP Equipment is growing fast. Our commercial pipeline lives in HubSpot, our orders and finance run through Sage, and our stock and ledgers sit in SAP HANA. Your job is to pull them all together into Power BI dashboards that our country MDs and finance directors open every morning. When a number on the dashboard is questioned, you can trace it back to the order, the invoice, and the deal, and explain it. This is a flow-first role, not a tool-first one. We care that you understand how a dealer order becomes a delivered forklift, an invoiced job, and a serviced machine, and that you can make that flow legible in data: The reporting layer: Power BI datasets and dashboards that the commercial and finance teams run on. You are responsible for the model underneath them, not just the visuals on top. One number, one meaning: data reconciled across HubSpot, Sage and SAP HANA so the pipeline, the order book and the ledger tell the same story. CRM data quality in HubSpot: pipeline hygiene, properties and structure clean enough that the reporting on top of it can be trusted. Spreadsheet retirement: if a controller is keeping a workbook the business depends on, you replace it with a governed dashboard. What your team does Your profile You have built Power BI that people actually open every morning, not a deck of charts nobody returns to. You can trace a number from a dashboard back to the order, the invoice and the CRM deal, and explain a discrepancy without waiting for IT. You understand the business flow behind the data (order to cash, after-sales, multi-entity), not just the DAX. You are comfortable sitting across CRM, ERP and BI without needing to own any single one of them. Fluent in German; a good working level of English. On the technical side Power BI : data modelling, DAX and Power Query. You build the datasets, not just the charts. SQL: you can query Sage and SAP HANA sources yourself when a report does not add up. HubSpot: CRM data structure, properties and pipeline reporting. Direct experience preferred; strong CRM experience elsewhere works if you pick things up fast. Excel & Power Query, and ideally some VBA, for the workbooks the business still runs on today. Process documentation discipline: BPMN or equivalent. You can map the flow you are reporting on, not just describe it. Even if you are not yet confident in every area, we look forward to hearing from you if you are keen to grow with us. Why us? Modern working environment: Attractive location in Cologne-Mülheim, easily accessible by car and public transport. Start-up flair: A company that thinks innovatively and at the same time has a stable market position. You can grow with us. International team: Work in a multicultural team with colleagues from more than 14 countries. Career opportunities: Take on responsibility early and develop personally and professionally. Public transport, parking space for cars and bikes,drinks, parking, fruits, table football, table tennis. Get in contact with EP Send your CV and one paragraph on a report or dashboard you built that changed a decision: what was wrong or unclear before, what you built, and what the business measured after. Contact: recruiting@ep-equipment.eu", "summaryDescription" : "Business Intelligence and Systems Analyst at EP Equipment. Skills: Business intelligence, Data analysis, Systems analysis. Pull data into Power BI. Build Power BI datasets", "createdAt" : "2026-06-14T20:27:38.844", "lastUpdated" : "2026-06-16T03:36:59.988", "ingestTimestamp" : "2026-06-14T20:27:38.844", "mongoId" : "6a2c733974d8ee00a0932a03", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data reconciliation", "Pipeline hygiene", "Spreadsheet retirement", "Business intelligence", "Data analysis", "Systems analysis", "Data modelling", "Process documentation", "Order to cash", "After-sales service", "Multi-entity operations", "Power BI", "Sage", "SAP HANA", "HubSpot", "Excel", "Power Query", "VBA", "BPMN" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305c1bf292fd229cf60b49", "title" : "Associate Director, Communications and Design, Harvard Innovation Labs", "company" : "Harvard University", "industry" : "Higher Education", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director in Education in Boston, adjusted for company size and specific role responsibilities." }, "location" : "Boston, MA, United States", "locations" : [ "Boston", "MA", "United States" ], "timestamp" : "2026-06-16T12:48:42.713", "fingerprint" : "2f197490d99eca4e2669fdcc88f58e37f4eb3c68cf1b0d7cad1f340401288260", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/HarvardUniversity/3743990013627166-associate-director-communications-and-design-harvard-innovation-labs", "externalId" : "3743990013627166", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AI", "professionalSkills" : [ "Art direction", "Creative strategy", "Brand identity development", "Pitch deck design" ], "hardSkillsList" : [ "Visual design", "Interface design", "Design systems" ], "hardSkills" : [ { "name" : "Visual design", "level" : "intermediate" }, { "name" : "Interface design", "level" : "intermediate" }, { "name" : "Design systems", "level" : "intermediate" } ], "majorSkills" : "Brand strategy, Visual communications, Design execution", "majorSkillsList" : [ "Brand strategy", "Visual communications", "Design execution" ], "coreResponsibilities" : "Lead art direction and design projects, Communicate HIL brand and offerings, Drive mission and goals of HIL, Create accessible, inclusive design collateral, Advise student teams on brand identity, Advise student teams on pitch deck design, Oversee creative strategy and art direction, Integrate AI into workflows, Create compelling creative concepts, Develop and maintain brand guidelines, Brief colleagues on brand usage, Brief external vendors on brand usage, Conceptualize, design, and oversee production of assets, Oversee motion graphics for challenges, Oversee event visuals for challenges, Oversee marketing materials for challenges, Oversee cross-platform production for challenges, Oversee integrated marketing campaigns, Review social media assets, Advise on social media assets, Review video production assets, Advise on video production assets, Review email marketing assets, Advise on email marketing assets, Oversee merchandise design strategy, Design branded merchandise", "teamCollaboration" : "Marketing and communications team; Key stakeholders", "domainKnowledge" : "Innovation ecosystem; Entrepreneurial leaders; Life sciences startups; Biotech startups", "domainList" : [ "innovation-ecosystem", "entrepreneurial-leaders", "life-sciences-startups", "biotech-startups" ], "domainSpecificKnowledge" : [ "Innovation ecosystem", "Entrepreneurial leaders", "Life sciences startups", "Biotech startups" ], "communicationSkills" : "Visual communications", "documentationSkills" : "Brand guidelines", "continuousLearning" : "Professional development; Tuition assistance; Tuition reimbursement", "innovationCreativity" : "Inspires innovation; Fosters bold new ideas", "qualificationsBasic" : "5+ years experience in design, Experience with visual branding", "qualificationsPreferred" : "Experience with AI in workflows", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive. Why join Harvard Business School? Harvard Business School, located on a 40-acre campus in Boston, was founded in 1908 as part of Harvard University. It is among the world's most trusted sources of management education and thought leadership. For more than a century, the School's faculty has combined a passion for teaching with rigorous research conducted alongside practitioners at world-leading organizations to educate leaders who make a difference in the world. Through a dynamic ecosystem of research, learning, and entrepreneurship that includes MBA, Doctoral, Executive Education, and Online programs, as well as numerous initiatives, centers, institutes, and labs, Harvard Business School fosters bold new ideas and collaborative learning networks that shape the future of business. Job Summary: Reporting to the Director of Communications and Marketing of Harvard Innovation Labs (HIL) and in partnership with other members of our full-service marketing and communications team, the Associate Director will lead the art direction and design projects that successfully communicate the HIL brand and offerings across a variety of platforms, impact stories of HIL ventures, as well as telling the story of “innovation at Harvard”. The Associate Director will apply a well-tuned design vision, contemporary expertise in visual branding across platforms and use cases, and high-quality design skills to drive the mission and goals of the HIL. This role is a leader in creating accessible, inclusive, and welcoming design collateral for informational and marketing needs across all three labs and tailored to diverse stakeholders including: prospective Harvard students, student and alumni members, faculty, staff, and the greater innovation community in Boston and beyond. In addition to supporting the HIL brand, the position also serves as an advisor to student and alumni teams on visual brand identity development and pitch deck design. The mission of the HIL is to foster an innovation ecosystem across Harvard University that inspires, connects, and advances entrepreneurial leaders and innovators through its three labs: the Student i-lab for student-led ventures; Alumni Launch Lab for alumni-led ventures; and the Pagliuca Harvard Life Lab for biotech and life sciences startups founded by Harvard students, alumni, faculty, and postdoctoral students. It is important that our community, our brand, and our editorial output reflect our commitment to equity, diversity, inclusion, and belonging, and we look for candidates who share those values. Visit innovationlabs.harvard.edu for more information. Job-Specific Responsibilities: Creative Strategy and Direction * Oversees creative strategy and art direction to support HIL marketing and communications needs across digital, print, and environmental platforms. * Integrates AI into workflows to streamline design and marketing processes and outputs. * Creates compelling creative concepts, visual communications, promotional launches, and campaigns for use on social media, digital and physical signage, new website, email campaigns, and print collateral. * Assists Director with budgeting for merchandise, printing, and event production. * Oversees creative direction of physical signage and other space improvements in collaboration with Director and key stakeholders. * Serves as lead advocate/steward of Harvard Innovation Labs’ brand identity across platforms. * Develops and maintains up-to-date brand guidelines and briefs colleagues and external vendors on usage and alignment. Design Execution and Collaboration * Leads projects to conceptualize, design, and oversee production of digital and print assets used to promote the Harvard Innovation Labs, including digital ads, social media assets, website assets, email newsletter templates, data visualization, brochures, digital and printed event promotions, branded presentation decks, merchandise, and other marketing materials. * Leads the comprehensive visual brand development for Harvard's President's Innovation Challenge, overseeing motion graphics, event visuals, marketing materials, and cross-platform production. * Oversees integrated marketing campaigns, including reviewing and advising on social media, video production, and email marketing assets. * Oversees merchandise design strategy including branded merchandise such as apparel, totes, lanyards, business cards, and gift boxes. * Identifies opportunities for website enhancements and assist with website content edits. * Creates templates, original graphics, treated photos, and other creative visuals for social media in partnership with communications manager. * Storyboards and creates innovative, brand-appropriate motion-graphics and video content for various uses. * Edits photos for digital and print collateral. Relationship, Staff, and Stakeholder Management * Advises Harvard founders on visual brand identity development and pitch deck design. * Manages relationships with external vendors including printers, photographers, videographers, and event production staff. * Hires, manages, and mentors design interns from Harvard Graduate School of Design. * Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents. * This role is responsible for other duties as assigned. ## Qualifications Basic Qualifications: * Bachelor’s degree or equivalent experience * 7+ years of graphic arts, digital content production, publications experience * Demonstrated leadership in project design and management * Expert proficiency in Adobe Creative Cloud (Illustrator, Photoshop, Lightroom, Premiere, InDesign), Figma, and other digital design tools Additional Qualifications and Skills: The ideal candidate will be: * Dedicated to the principles of accessible design and committed to innovative, inclusive design work across all platforms. * Working knowledge of AI tools that streamline processes and templatize team output. * Comfortable adhering to visual identity systems and serving as a brand advocate. * Familiar with Canva and other tools to easily create and share templates and designs across teams. * Deadline-driven with proven project management skills. * Organized and proactive, have excellent attention to detail, and work both quickly and creatively. * Creative, a team player, and a self-starter. * Experienced in animation (a plus) * Experienced in video editing and the creation of short-form video content (a plus) * Experienced in event photography and portraiture (a plus) ## Additional Information * Standard Hours/Schedule: 40 hours per week * Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position * Pre-Employment Screening: Identity, Education * Other Information: * This is a hybrid position which we consider to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite a minimum of 3 days per week and departments provide onsite coverage Monday – Friday. Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice. * We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role. * As part of the final interview process, selected finalists will be assigned a take-home project to demonstrate relevant skills and competencies. * A cover letter and creative portfolio must be submitted to be considered for this opportunity. Your portfolio should showcase brand identity systems, multi-platform campaign work (social, email, print, signage), presentation deck design, and motion graphics or video if available. Work that reflects accessible, inclusive design is a plus. Work Format Details This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on [Employment Outside of Massachusetts](https://harvie.harvard.edu/sites/g/files/omnuum12046/files/humanresources/files/employmentoutsidema_policy.pdf). Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment. Salary Grade and Ranges This position is salary grade level 058. Please visit [Harvard's Salary Ranges](https://hr.harvard.edu/salary-ranges) to view the corresponding salary range and related information. Benefits Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to: * Generous paid time off including parental leave * Medical, dental, and vision health insurance coverage starting on day one * Retirement plans with university contributions * Wellbeing and mental health resources * Support for families and caregivers * Professional development opportunities including tuition assistance and reimbursement * Commuter benefits, discounts and campus perks Learn more about these and additional benefits on our [Benefits & Wellbeing Page](https://hr.harvard.edu/benefits-wellbeing). EEO/Non-Discrimination Commitment Statement Harvard University is committed to [equal opportunity](https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmationstatement.pdf) and [non-discrimination](https://provost.harvard.edu/sites/g/files/omnuum12476/files/2025-07/non-discriminationandanti-bullyingpolicies.pdf). We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes. Harvard has an [equal employment opportunity policy](https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmationstatement.pdf) that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's [non-discrimination policy](https://provost.harvard.edu/sites/g/files/omnuum12476/files/2025-07/non-discriminationandanti-bullyingpolicies.pdf). Harvard's [equal employment opportunity policy](https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmationstatement.pdf) and [non-discrimination policy](https://provost.harvard.edu/sites/g/files/omnuum12476/files/2025-07/non-discriminationandanti-bullyingpolicies.pdf) help all community members participate fully in work and campus life free from harassment and discrimination.", "summaryDescription" : "Associate Director, Communications and Design, Harvard Innovation Labs at Harvard University. Skills: Brand strategy, Visual communications, Design execution. Lead art direction and design projects. 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"experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "summaryDescription" : "Senior UX Designer, Search Design System", "postedDate" : "2026-06-16T01:50:53.599", "createdAt" : "2026-06-16T01:50:53.599", "lastUpdated" : "2026-06-16T11:49:51.889", "ingestTimestamp" : "2026-06-16T01:50:53.599", "mongoId" : "6a307f2af292fd229c055ce5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 245000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Senior", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5e3b9bc74574cb677a86", "title" : "BIW Structure Design and Development", "company" : "Mercedes-Benz Research and Development India", "industry" : "Manufacturing", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level BIW Structure Design and Development role in Bangalore, India, adjusted for the automotive industry and a large R&D company." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "'Embassy Crest' Plot No 5, , EPIP Zone, Phase 1, " ], "timestamp" : "2026-06-15T09:44:25.503", "fingerprint" : "cd0d086c12bca1a91e2e94d26fb55e55e495449ba19e592fca37a09d4ff75d42", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=884118", "externalId" : "884118", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "minimumEducation" : "Bachelor's", "technicalSkills" : "Siemens NX, PLM", "professionalSkills" : [ "Part construction", "Joining elements", "Manufacturing processes", "Tolerance requirements", "Assembly processes", "Release management" ], "hardSkillsList" : [ "BIW processes", "Vehicle development systems", "Joining elements", "Manufacturing", "Tolerance", "Assembly processes" ], "softSkillsList" : [ "Team spirit", "Learning attitude", "Driven-to-win mindset", "Intercultural collaboration" ], "hardSkills" : [ { "name" : "BIW processes", "level" : "intermediate" }, { "name" : "Vehicle development systems", "level" : "intermediate" }, { "name" : "Joining elements", "level" : "intermediate" }, { "name" : "Manufacturing", "level" : "intermediate" }, { "name" : "Tolerance", "level" : "intermediate" }, { "name" : "Assembly processes", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Team spirit" }, { "name" : "Learning attitude" }, { "name" : "Driven-to-win mindset" }, { "name" : "Intercultural collaboration" } ], "majorSkills" : "BIW Structure Design, Siemens NX, PLM systems", "majorSkillsList" : [ "BIW Structure Design", "Siemens NX", "PLM systems" ], "coreResponsibilities" : "Design BIW concepts, Develop BIW concepts, Provide BIW project support, Deliver innovative solutions, Deliver innovative concepts, Develop components using Siemens NX, Document deliverables in PLM, Create joining elements, Document joining elements, Archive joining elements, Address manufacturing requirements, Address assembly requirements, Address tolerance requirements, Support release management activities, Communicate with business partners, Share innovation within team, Share knowledge within team", "teamCollaboration" : "Cross-functional teams; Business partners", "domainKnowledge" : "Body in White (BIW); Vehicle development systems; Joining elements; Manufacturing; Tolerance; Assembly processes", "domainList" : [ "body-in-white-biw", "vehicle-development-systems", "joining-elements", "manufacturing", "tolerance", "assembly-processes" ], "domainSpecificKnowledge" : [ "Body in White (BIW)", "Vehicle development systems", "Joining elements", "Manufacturing", "Tolerance", "Assembly processes" ], "toolProficiency" : [ "Siemens NX", "PLM" ], "communicationSkills" : "Presentation skills", "documentationSkills" : "Document deliverables; Document joining elements", "continuousLearning" : "Learning opportunities", "innovationCreativity" : "Innovative solutions; Innovative concepts", "qualificationsBasic" : "Domain knowledge of BIW, Expertise in joining elements, Proficiency in Siemens NX, Working knowledge of PLM systems, Experience in information gathering, Experience in benchmarking, Applying Daimler methodologies, Applying Daimler systems, Applying Daimler processes", "qualificationsPreferred" : "Experience working with Daimler methodologies, Experience working with global cross-functional teams, Exposure to intercultural aspects, German language skills", "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: • Design and develop concepts for Body in White (BIW) projects aligned with product development milestones and cross-functional requirements. • Provide extended support for BIW projects by delivering innovative solutions and concepts through collaboration with cross-functional teams. • Develop components using Siemens NX following defined methodologies and document deliverables in the PLM system for downstream processes. • Create, document, and archive all necessary joining elements adhering to established methodologies. • Address manufacturing, assembly, and tolerance requirements, supporting release management activities. • Ensure effective communication with business partners and actively share innovation and knowledge within the team. Required Skills and Experience: • Strong domain knowledge of Body in White (BIW) processes and vehicle development systems. • Expertise in joining elements, manufacturing, tolerance, and assembly processes. • Proficiency in Siemens NX for part construction and working knowledge of PLM systems. • Experience in information gathering, benchmarking, and applying Daimler methodologies, systems, and processes. • Excellent communication and presentation skills. • High team spirit, learning attitude, and a driven-to-win mindset. • Exposure to intercultural collaboration and familiarity with the German language is a plus. Educational Qualifications: • Bachelor’s or Master’s degree in Mechanical Engineering, Automotive Engineering, or related discipline from reputed institutions. Preferred Qualifications (Good to Have): • Experience working with Daimler methodologies and global cross-functional teams. • Exposure to intercultural aspects, especially German language skills. 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" : "BIW Structure Design and Development at Mercedes-Benz Research and Development India. Skills: BIW Structure Design, Siemens NX, PLM systems. Design BIW concepts. Develop BIW concepts", "createdAt" : "2026-06-14T08:21:04.433", "lastUpdated" : "2026-06-15T09:44:25.503", "ingestTimestamp" : "2026-06-14T08:21:04.433", "mongoId" : "69ce5e3b9bc74574cb677a86", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "BIW processes", "Vehicle development systems", "Joining elements", "Manufacturing", "Tolerance", "Assembly processes", "Team spirit", "Learning attitude", "Driven-to-win mindset", "Intercultural collaboration", "BIW Structure Design", "Siemens NX", "PLM systems", "Part construction", "Manufacturing processes", "Tolerance requirements", "Release management", "Body in White (BIW)", "PLM" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305eeef292fd229cf760ed", "title" : "Revenue Optimization Manager", "company" : "OCRA", "industry" : "Operations", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Revenue Optimization Manager in Chicago, adjusted for mid-seniority and the hospitality industry." }, "location" : "Chicago", "locations" : [ "Chicago", "Austin" ], "timestamp" : "2026-06-16T12:58:50.691", "fingerprint" : "56dc3de84abc15655073cfef56b8b8b4f65725822d3298dcf4255e3a80b20bad", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/ocra/852e6fcf-15cc-4927-804e-33bb0400f328/application", "externalId" : "852e6fcf-15cc-4927-804e-33bb0400f328", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceLevel" : "Manager", "technicalSkills" : "Excel, BI tools, SQL, Tableau, Power BI, Looker", "professionalSkills" : [ "Revenue management", "Pricing analysis", "Yield strategy", "Client relationship management", "Performance reviews", "Data analytics", "Demand forecasting", "Pricing performance evaluation", "Platform utilization", "Operational effectiveness", "Scalability", "Reporting", "Dashboards", "Process development", "Client onboarding" ], "hardSkillsList" : [ "Dynamic pricing", "Revenue maximization", "Data-driven insights", "Forecasting demand", "Evaluating pricing performance", "Enhancing platform utilization", "Actionable reports", "SOP implementation" ], "hardSkills" : [ { "name" : "Dynamic pricing", "level" : "intermediate" }, { "name" : "Revenue maximization", "level" : "intermediate" }, { "name" : "Data-driven insights", "level" : "intermediate" }, { "name" : "Forecasting demand", "level" : "intermediate" }, { "name" : "Evaluating pricing performance", "level" : "intermediate" }, { "name" : "Enhancing platform utilization", "level" : "intermediate" }, { "name" : "Actionable reports", "level" : "intermediate" }, { "name" : "SOP implementation", "level" : "intermediate" } ], "majorSkills" : "Revenue management, Pricing strategy, Client relations, Data analytics", "majorSkillsList" : [ "Revenue management", "Pricing strategy", "Client relations", "Data analytics" ], "coreResponsibilities" : "Analyze market trends, Analyze occupancy data, Analyze booking lead times, Analyze competitor pricing, Develop dynamic pricing strategies, Develop revenue maximization techniques, Manage asset owner relationships, Deliver strategic recommendations, Deliver performance reviews, Drive client success, Use data-driven insights, Forecast demand, Evaluate pricing performance, Identify opportunities for revenue uplift, Enhance platform utilization, Collaborate with product teams, Collaborate with technology teams, Ensure operational effectiveness, Ensure scalability, Create actionable reports, Create dashboards, Demonstrate ROI, Demonstrate revenue impacts, Implement best practices, Implement SOPs, Streamline operations, Ensure consistency across accounts, Facilitate client onboarding, Facilitate client support", "teamCollaboration" : "Revenue teams; Product teams; Technology teams", "domainKnowledge" : "Hospitality industry; Parking industry; Travel industry; B2B industries; Parking inventory management; Mobility industry", "domainList" : [ "hospitality-industry", "parking-industry", "travel-industry", "b2b-industries", "parking-inventory-management", "mobility-industry" ], "domainSpecificKnowledge" : [ "Hospitality industry", "Parking industry", "Travel industry", "B2B industries", "Parking inventory management", "Mobility industry" ], "toolProficiency" : [ "Excel", "BI tools", "Pricing software", "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Communicate findings; Client reporting", "problemSolvingSkills" : "Analytical skills; Data-driven insights", "outcomesObjectives" : "Ensure maximum RevPAS for each asset; Ensure client satisfaction; Deliver world-class product", "qualificationsBasic" : "2+ years revenue management experience, 2+ years pricing analysis experience, 2+ years yield management experience, Excel expertise, BI tools expertise, Ability to manage multiple clients", "qualificationsPreferred" : "Revenue management experience in hospitality, Revenue management experience in parking, Revenue management experience in travel, Pricing analysis experience in hospitality, Pricing analysis experience in parking, Pricing analysis experience in travel, Yield management experience in hospitality, Yield management experience in parking, Yield management experience in travel, SQL familiarity, Data visualization tools familiarity, Advanced data analytics tools familiarity, Managed service experience, Client-facing analytics consulting experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT OCRA OCRA https://getocra.com IS AN AI-POWERED REVENUE MANAGEMENT SYSTEM (RMS) AND GLOBAL DISTRIBUTION SYSTEM (GDS) BUILT FOR HOTEL PARKING ASSETS. HOTELS USE OCRA TO SELL UNDERUTILIZED PARKING INVENTORY THROUGH “PARKING OTAS” TO NON-GUEST CUSTOMERS LOOKING TO PARK NEAR AIRPORTS AND EVENT VENUES. OCRA'S TEAM OF PARKING REVENUE MANAGEMENT EXPERTS DRIVES REVENUE GROWTH WITHOUT ADDING LABOR OR DISRUPTING OPERATIONS, HELPING HOTELS INCREASE NET OPERATING INCOME (NOI) WHILE NEVER COMPROMISING PARKING FOR HOTEL GUESTS AND STAFF. OCRA PARTNERS WITH 50+ OPERATORS AND 25+ HOTEL GROUPS AT 600+ LOCATIONS. THE COMPANY HAS RAISED $10M, MOST RECENTLY AN OVERSUBSCRIBED $5M ROUND CO-LED BY TRESTLE PARTNERS AND MCR HOTELS. ABOUT THE ROLE THE ROCKET IS LEAVING THE LAUNCHPAD, AND WE’RE SEEKING AN UPSTART ANALYTICAL MIND WHO ENJOYS ENGAGING WITH CLIENTS, GATHERING ON-SITE DETAILS, AND ENSURING SERVICE DELIVERY. AS THE REVENUE OPTIMIZATION MANAGER, YOU WILL LEAD A PORTFOLIO OF ASSETS, MAKING REAL-TIME PRICING DECISIONS AND SUPPORTING KEY OPERATIONAL ACTIONS. YOU WILL BE AN INTEGRAL PART OF OUR REVENUE ENGINE—PROVIDING DATA AND ANALYTICS TO CLIENTS AND PARTNERS TO ENSURE MAXIMUM REVPAS FOR EACH ASSET. YOU WILL ALSO BE RESPONSIBLE FOR ENSURING CLIENT SATISFACTION BY COLLABORATING WITH OUR REVENUE AND PRODUCT TEAMS TO ITERATE ON AND DELIVER A WORLD-CLASS PRODUCT. DIRECT RESPONSIBILITIES - Revenue Management & Yield Strategy: Analyze market trends, occupancy data, booking lead times, and competitor pricing to develop dynamic pricing strategies and revenue maximization techniques. - Client-Focused Execution: Directly manage relationships with asset owners, delivering strategic recommendations and regular performance reviews to drive client success. - Advanced Analytics: Use data-driven insights to forecast demand, evaluate pricing performance, and proactively identify opportunities for revenue uplift. - Platform Optimization: Continuously enhance Ocra’s platform utilization, collaborating closely with product and technology teams to ensure operational effectiveness and scalability. - Reporting & Communication: Create clear, actionable reports and dashboards tailored to client objectives and internal stakeholders, clearly demonstrating ROI and revenue impacts. - Process Development: Implement best practices and SOPs to streamline operations, ensure consistency across accounts, and facilitate efficient client onboarding and support. QUALIFICATIONS - 2+ years of direct experience in revenue management, pricing analysis, or yield management, preferably within hospitality, parking, travel, or similar B2B industries. - Exceptional analytical skills with expertise in Excel, BI tools, and familiarity with pricing software. - Proven ability to communicate complex analytical findings clearly and persuasively to diverse audiences. - Strong organizational skills and ability to manage multiple clients simultaneously in a fast-paced, remote-first environment. - Demonstrated capability in scaling revenue management strategies from initial concept through broad implementation. NICE-TO-HAVES - Experience with inventory and pricing management specifically in parking, hospitality, or mobility-related industries. - Familiarity with SQL, data visualization tools (Tableau, Power BI, Looker), or advanced data analytics tools. - Prior experience working in a managed service or client-facing analytics consulting role.", "summaryDescription" : "Revenue Optimization Manager at OCRA. Skills: Revenue management, Pricing strategy, Client relations, Data analytics. Analyze market trends. 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Experience integrating LLMs into ranking, retrieval, or personalization pipelines. Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling." ], "hardSkillsList" : [ "production recommendation systems", "production ranking systems", "production personalization systems", "engagement modeling", "model calibration", "offline metrics", "online metrics", "online experimentation", "integrating LLMs into ranking", "integrating LLMs into retrieval", "integrating LLMs into personalization pipelines", "large-scale ranking infrastructure", "large-scale training infrastructure", "multi-stage retrieval", "multi-stage ranking", "feature stores", "real-time serving", "user understanding", "feed ranking", "notifications", "growth modeling", "lifecycle modeling" ], "softSkillsList" : [ "ownership, entrepreneurship, scholarship, partnership" ], "hardSkills" : [ { "name" : "production recommendation systems", "level" : "intermediate" }, { "name" : "production ranking systems", "level" : "intermediate" }, { "name" : "production personalization systems", "level" : "intermediate" }, { "name" : "engagement modeling", "level" : "intermediate" }, { "name" : "model calibration", "level" : "intermediate" }, { "name" : "offline metrics", "level" : "intermediate" }, { "name" : "online metrics", "level" : "intermediate" }, { "name" : "online experimentation", "level" : "intermediate" }, { "name" : "integrating LLMs into ranking", "level" : "intermediate" }, { "name" : "integrating LLMs into retrieval", "level" : "intermediate" }, { "name" : "integrating LLMs into personalization pipelines", "level" : "intermediate" }, { "name" : "large-scale ranking infrastructure", "level" : "intermediate" }, { "name" : "large-scale training infrastructure", "level" : "intermediate" }, { "name" : "multi-stage retrieval", "level" : "intermediate" }, { "name" : "multi-stage ranking", "level" : "intermediate" }, { "name" : "feature stores", "level" : "intermediate" }, { "name" : "real-time serving", "level" : "intermediate" }, { "name" : "user understanding", "level" : "intermediate" }, { "name" : "feed ranking", "level" : "intermediate" }, { "name" : "notifications", "level" : "intermediate" }, { "name" : "growth modeling", "level" : "intermediate" }, { "name" : "lifecycle modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "ownership, entrepreneurship, scholarship, partnership" } ], "majorSkills" : "ML Engineer, Recommendations, User Modeling, LLMs, ranking systems", "majorSkillsList" : [ "ML Engineer, Recommendations, User Modeling, LLMs, ranking systems" ], "coreResponsibilities" : "Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics. Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences. Design the decision layer that balances competing objectives to produce the best overall experience for the user. Build the data and evaluation foundations that let these systems learn and improve with usage. Help shape the technical direction of ranking, recommendations, and personalization at Perplexity.", "teamCollaboration" : "Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence.", "continuousLearning" : "Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.", "innovationCreativity" : "Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.", "problemSolvingSkills" : "system design; debugging", "specialRequirements" : "For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects.", "outcomesObjectives" : "Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics. Design the decision layer that balances competing objectives to produce the best overall experience for the user. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.", "qualificationsBasic" : "Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale. ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation. Experience integrating LLMs into ranking, retrieval, or personalization pipelines. Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles.", "qualificationsPreferred" : "Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving). Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity. Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user. To do this, we are reimagining recommendation systems for the LLM era. Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems. We build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics. - Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences. - Design the decision layer that balances competing objectives to produce the best overall experience for the user. - Build the data and evaluation foundations that let these systems learn and improve with usage. - Help shape the technical direction of ranking, recommendations, and personalization at Perplexity. WHAT WE'RE LOOKING FOR - Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale. - Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation. - Experience integrating LLMs into ranking, retrieval, or personalization pipelines. - Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles. - For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects. NICE TO HAVE - Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving). - Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.", "summaryDescription" : "Member of Technical Staff (ML Engineer, Recommendations & User Modeling) at Perplexity. Skills: ML Engineer, Recommendations, User Modeling, LLMs, ranking systems. Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics. Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences. Design the decision layer that balances competing objectives t", "createdAt" : "2026-06-14T17:53:51.450", "lastUpdated" : "2026-06-15T09:10:50.352", "ingestTimestamp" : "2026-06-14T17:53:51.450", "mongoId" : "6a2c8cff74d8ee00a0977e00", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 405000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "production recommendation systems", "production ranking systems", "production personalization systems", "engagement modeling", "model calibration", "offline metrics", "online metrics", "online experimentation", "integrating LLMs into ranking", "integrating LLMs into retrieval", "integrating LLMs into personalization pipelines", "large-scale ranking infrastructure", "large-scale training infrastructure", "multi-stage retrieval", "multi-stage ranking", "feature stores", "real-time serving", "user understanding", "feed ranking", "notifications", "growth modeling", "lifecycle modeling", "ownership, entrepreneurship, scholarship, partnership", "ML Engineer, Recommendations, User Modeling, LLMs, ranking systems", "ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation. Experience integrating LLMs into ranking, retrieval, or personalization pipelines. Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling." ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "69cf26122beec4dd3d90b45a", "title" : "Lift Team- Injury Prevention Tech 1", "company" : "Tampa General Hospital", "industry" : "Healthcare", "salary" : { "min" : 42000.0, "max" : 58000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Lift Team- Injury Prevention Tech 1 in Tampa, FL, adjusted for the healthcare industry and company size." }, "location" : "United States-Florida-Tampa", "locations" : [ "United States-Florida-Tampa", "
TGH Main Campus (TGHMAIN)
1 Tampa General Circle

Tampa, 33601

" ], "timestamp" : "2026-06-15T09:28:29.020", "fingerprint" : "af415d47c33d15bd7c12badfb39382f5758db0d69a9ee43fca178d1ca08966c1", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=676376", "externalId" : "676376", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "minimumEducation" : "High School", "majorSkills" : "Patient transfers, Equipment maintenance", "majorSkillsList" : [ "Patient transfers", "Equipment maintenance" ], "coreResponsibilities" : "Perform patient transfers, Reposition patients, Use patient lifting equipment, Maintain patient lifting equipment, Inventory patient lifting equipment, Maintain hygiene of slings, Assist with employee education, Train on patient lifting equipment, Train on transfer techniques, Perform job duties", "teamCollaboration" : "Supervision of Nursing staff", "domainKnowledge" : "Patient lifting equipment", "domainList" : [ "patient-lifting-equipment" ], "domainSpecificKnowledge" : [ "Patient lifting equipment" ], "specialRequirements" : "Physical lifting", "qualificationsBasic" : "High School Diploma or GED", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Responsible for performing Patient transfers or repositioning under the Supervision of the Nursing staff using the appropriate patient lifting equipment. Responsible for the maintenance and inventory of patient lifting equipment along with maintaining proper hygiene of the slings on each unit. May assist with employee education and training of patient lifting equipment and transfer techniques when indicated. Responsible for performing job duties in accordance with mission, vision and value of Tampa General Hospital. High School Diploma or GED. Tampa", "summaryDescription" : "Lift Team- Injury Prevention Tech 1 at Tampa General Hospital. Skills: Patient transfers, Equipment maintenance. Perform patient transfers. Reposition patients", "createdAt" : "2026-06-14T08:23:02.842", "lastUpdated" : "2026-06-15T09:28:29.020", "ingestTimestamp" : "2026-06-14T08:23:02.842", "mongoId" : "69cf26122beec4dd3d90b45a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 42000, "salaryAnnualMax" : 58000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Patient transfers", "Equipment maintenance", "Patient lifting equipment" ], "skillCount" : 3, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.92 } ], "status" : 200, "message" : "design analyze and make recommendations to optimize artificial lift systems jobs", "metadata" : { "title" : "design analyze and make recommendations to optimize artificial lift systems" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 41374, "totalPages" : 828, "hasNext" : true, "hasPrevious" : false } }

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