{ "count" : 53954, "data" : [ { "id" : "6a306ce3f292fd229cfd6583", "title" : "Methods & Process Engineer", "company" : "Aumovio", "industry" : "Automotive", "salary" : { "min" : 105000.0, "max" : 165000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Methods & Process Engineer in Várzea Paulista, Brazil, adjusted for the manufacturing industry." }, "location" : "Várzea Paulista, SP, BR", "locations" : [ "Várzea Paulista", "SP", "BR" ], "timestamp" : "2026-06-16T08:49:09.723", "fingerprint" : "4fb907b480bdf0f237df28a5ff5c4bdd07134c0e12fe2007f653e8fcd2d206eb", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Aumovio/744000132246444-methods-process-engineer", "externalId" : "744000132246444", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Várzea Paulista", "state" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.2113889,-46.8283333" } ], "locationText" : "Várzea Paulista, São Paulo, Brazil", "employmentType" : "FULL_TIME", "minimumEducation" : "Degree or studies in production engineering or related field", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "coreResponsibilities" : "Evaluate production processes, Analyze production processes, Improve production processes, Evaluate methodologies, Analyze methodologies, Improve methodologies, Evaluate workflows, Analyze workflows, Improve workflows, Identify areas for improvement, Recommend best practices, Implement improvements to increase efficiency, Implement improvements to reduce operational costs", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Automotive technology; Electronics technology; Software-defined vehicles", "domainList" : [ "automotive-technology", "electronics-technology", "software-defined-vehicles" ], "domainSpecificKnowledge" : [ "Automotive technology", "Electronics technology", "Software-defined vehicles" ], "communicationSkills" : "Written communication; Verbal communication", "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "Degree or studies in production engineering or related field, Analytical and problem-solving skills, Excellent communication, both written and verbal", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Since its spin-off in September 2025 AUMOVIO continues the business of the former Continental group sector Automotive as an independent company. The technology and electronics company offers a wide-ranging portfolio that makes mobility safe, exciting, connected, and autonomous. This includes sensor solutions, displays, braking and comfort systems as well as comprehensive expertise in software, architecture platforms, and assistance systems for software-defined vehicles. In the fiscal year 2024 the business areas, which now belong to AUMOVIO, generated sales of 19.6 billion Euro. The company is headquartered in Frankfurt, Germany and has about 87.000 employees in more than 100 locations worldwide. The Process and Methods Engineer will be responsible for evaluating, analyzing and improving the effectiveness of production processes, methodologies and workflows. The role involves identifying areas for improvement, recommending best practices and working closely with cross-functional teams to implement improvements that increase efficiency and reduce operational costs. ## Qualifications Degree or studies in production engineering or related field. Analytical and problem-solving skills. Excellent communication, both written and verbal. ## Additional Information Ready to take your career to the next level? The future of mobility isn’t just anyone’s job. Make it yours! Join AUMOVIO. Own What’s Next.", "summaryDescription" : "Methods & Process Engineer at Aumovio. Evaluate production processes. Analyze production processes", "postedDate" : "2026-06-15T16:51:16.000", "createdAt" : "2026-06-16T00:07:10.551", "lastUpdated" : "2026-06-16T08:49:09.723", "ingestTimestamp" : "2026-06-16T00:07:10.551", "mongoId" : "6a306ce3f292fd229cfd6583", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Automotive technology", "Electronics technology", "Software-defined vehicles" ], "skillCount" : 3, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "68e0a7e2ce260f92cbf8ea62", "title" : "Data Engineer, Speed Products, Science and Analytics", "company" : "Amazon.com Services LLC", "industry" : "Business Intelligence, Data Engineering, transportation and logistics", "salary" : { "min" : 118900.0, "max" : 205600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T05:46:53.211", "fingerprint" : "2949250d13161d5d4b07f4a1aee9e5f09a85811ff8e7e42017368eebb24b6163", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3100735/apply", "externalId" : "a7282069-9ef7-47e1-b7c6-11bb7e7e8581", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Python, AWS, Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM, Scala", "professionalSkills" : [ "Data infrastructure", "Data integration", "Release management" ], "hardSkillsList" : [ "Data warehousing", "Data pipelines", "Data curation", "Data modeling", "Data extraction", "Data transformation", "Data loading", "Code deployment", "Bug fixing", "Release coordination", "Data processing", "Orchestration code" ], "softSkillsList" : [ "Business communication" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Data curation", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data loading", "level" : "intermediate" }, { "name" : "Code deployment", "level" : "intermediate" }, { "name" : "Bug fixing", "level" : "intermediate" }, { "name" : "Release coordination", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Orchestration code", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Business communication" } ], "majorSkills" : "Data engineering, Data infrastructure, Data pipelines", "majorSkillsList" : [ "Data engineering", "Data infrastructure", "Data pipelines" ], "coreResponsibilities" : "Design data infrastructure solutions, Integrate data from sources, Aggregate data, Retrieve data, Curate data, Manage Redshift clusters, Design pipelines, Develop pipelines, Extract data, Transform data, Load data, Oversee production operations, Improve data delivery, Redesign infrastructure, Deploy code, Fix bugs, Coordinate release management, Establish best practices, Develop data integration solutions, Explore new data sources, Deliver data, Read data processing code, Write data processing code, Debug data processing code, Read orchestration code, Write orchestration code, Debug orchestration code", "teamCollaboration" : "Business owners; Tech leaders; Product teams; Data Scientists; Software developers; Business Intelligence Engineer", "projectManagementSkills" : [ "Release management" ], "domainKnowledge" : "Data warehousing; Distributed systems; Big data technologies", "domainList" : [ "data-warehousing", "distributed-systems", "big-data-technologies" ], "domainSpecificKnowledge" : [ "Data warehousing", "Distributed systems", "Big data technologies" ], "toolProficiency" : [ "Redshift", "SQL", "Python", "AWS" ], "communicationSkills" : "Business communication", "documentationSkills" : "Documentation", "continuousLearning" : "Investigate emerging technologies", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Experience as Data Engineer, Knowledge of distributed systems, Bachelor's degree", "qualificationsPreferred" : "Experience with AWS technologies, Experience with non-relational databases", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be managing multiple Redshift clusters that support reporting needs for the transportation org. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate. Key job responsibilities - Design and develop the pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python and AWS big data technologies. - Oversee and continually improve production operations, including optimizing data delivery, re-designing infrastructure for greater scalability, code deployments, bug fixes and overall release management and coordination. - Establish and maintain best practices for the design, development and support of data integration solutions, including documentation. - Work closely with Product teams, Data Scientists, Software developers and Business Intelligence Engineer to explore new data sources and deliver the data. - Able to read, write, and debug data processing and orchestration code written Python/Scala etc following best coding standards (e.g. version controlled, code reviewed, etc.) Basic Qualifications: - Experience as a Data Engineer or in a similar role - Knowledge of distributed systems as it pertains to data storage and computing - Bachelor's degree Preferred Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) 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 $118,900/year in our lowest geographic market up to $205,600/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" : "Data Engineer, Speed Products, Science and Analytics at Amazon.com Services LLC. Skills: Data engineering, Data infrastructure, Data pipelines. Design data infrastructure solutions. Integrate data from sources", "postedDate" : "2026-06-13T11:39:35.182", "createdAt" : "2026-06-13T11:39:35.182", "lastUpdated" : "2026-06-15T05:46:53.211", "ingestTimestamp" : "2026-06-13T11:39:35.182", "mongoId" : "68e0a7e2ce260f92cbf8ea62", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3100735/apply", "salaryAnnualMin" : 118900, "salaryAnnualMax" : 205600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data warehousing", "Data pipelines", "Data curation", "Data modeling", "Data extraction", "Data transformation", "Data loading", "Code deployment", "Bug fixing", "Release coordination", "Data processing", "Orchestration code", "Business communication", "Data engineering", "Data infrastructure", "Data integration", "Release management", "Distributed systems", "Big data technologies", "Redshift", "SQL", "Python", "AWS" ], "skillCount" : 23, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2176d474d8ee00a0c1afeb", "title" : "Program Manager (Speed and Contingency), BR Speed and Ops Excellence Team", "company" : "Amazon Servicos de Varejo do Brasil Ltda.", "industry" : "Project/Program/Product Management--Non-Tech, Supply Chain Management, fulfillment ops", "salary" : { "min" : 180000.0, "max" : 275000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Program Manager in Sao Paulo, Brazil, adjusted for the Logistics industry and Manager experience level." }, "location" : "Sao Paulo, Sao Paulo, BRA", "locations" : [ "Sao Paulo, Sao Paulo, BRA" ], "timestamp" : "2026-06-15T04:35:46.678", "fingerprint" : "444465870dec80b7e422cce5e71b6bd919a03f6452df330e8b2e5352fe8616cb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438135/apply", "externalId" : "ae56ba2d-9067-417f-b654-c9223cefafcb", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sao Paulo", "state" : "Sao Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "Sao Paulo, Sao Paulo, Brazil", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "Manager", "technicalSkills" : "SQL", "professionalSkills" : [ "Process improvement", "Supply chain" ], "hardSkillsList" : [ "Excel", "SQL", "Program management", "Project management", "Process improvement", "Data analysis", "Metrics analysis", "Supply chain management" ], "hardSkills" : [ { "name" : "Excel", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Program management", "level" : "intermediate" }, { "name" : "Project management", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Metrics analysis", "level" : "intermediate" }, { "name" : "Supply chain management", "level" : "intermediate" } ], "majorSkills" : "Program management, Operational contingency, Speed initiatives, Stakeholder management", "majorSkillsList" : [ "Program management", "Operational contingency", "Speed initiatives", "Stakeholder management" ], "coreResponsibilities" : "Own end-to-end project management of speed initiatives, Track milestones, dependencies, and risks, Ensure on-time deployment of speed improvements, Manage padding configurations, Align UDD across all miles, Identify and resolve misalignment, Build Brazil's operational contingency plan, Partner with central teams, Serve as centralized point of contact, Drive cross-mile alignment for speed plan execution, Synchronize FC departure times, Synchronize Sort Center processing windows, Synchronize linehaul schedules, Synchronize last-mile delivery windows, Inspect and report on speed plan deployment health, Track initiatives on track, at risk, or blocked, Drive accountability across mile owners, Own contingency activation process during disruptions, Coordinate across operations teams, Trigger contingency protocols, Adjust paddings in real-time, Communicate impact to stakeholders, Lead post-event retrospectives, Maintain risk register for speed initiatives, Proactively identify dependencies, Proactively identify resource constraints, Proactively identify cross-team blockers, Escalate early, Propose mitigation paths, Document operational playbooks, Standardize operational playbooks, Test contingency plans, Update contingency plans", "teamCollaboration" : "Cross-mile alignment; Partner with central teams; Work cross functionally", "projectManagementSkills" : [ "Program management", "Project management" ], "domainKnowledge" : "Transportation network; Operational contingency; Speed initiatives; Customer experience; Prime Day; Black Friday; Regional peaks", "domainList" : [ "transportation-network", "operational-contingency", "speed-initiatives", "customer-experience", "prime-day", "black-friday", "regional-peaks" ], "domainSpecificKnowledge" : [ "Transportation network", "Operational contingency", "Speed initiatives", "Customer experience", "Prime Day", "Black Friday", "Regional peaks" ], "toolProficiency" : [ "Excel", "SQL" ], "communicationSkills" : "Business English", "documentationSkills" : "Document playbooks", "problemSolvingSkills" : "Root cause analysis; Mitigation paths", "outcomesObjectives" : "Ensure on-time deployment; Protect customer experience; Maintain deployment timelines; Improve future resilience", "qualificationsBasic" : "Bachelor's degree, Advanced Excel (Pivot Tables, VLookUps), Advanced SQL, Business English skills, Program or project management experience, Experience defining and implementing process improvement initiatives using data and metrics, Supply chain experience", "qualificationsPreferred" : "Stakeholder management experience, Experience building processes, Project management experience, Schedule building experience, Experience defining and executing program requirements, Experience using data and metrics to determine improvements, Experience working cross functionally with tech and non-tech teams, Experience driving end to end delivery, Experience communicating results to senior leadership", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Brazil is seeking a Program Manager to own the deployment of speed initiatives and operational contingency planning across all miles of the transportation network. This role ensures that speed programs loaded in OP cycles are executed on time, with proper cross-mile alignment, and that Brazil's operations maintain resilience through robust contingency mechanisms. The candidate will act as the central PM connecting planning to execution — ensuring paddings, UDDs, and mile-level configurations are aligned with speed commitments, while building and maintaining contingency playbooks that protect customer experience during disruptions. This role requires strong stakeholder management across local and international teams (ROW), operating as the connective tissue between strategy and operational deployment. Key job responsibilities Own the end-to-end project management of speed initiatives loaded in operational plans, tracking milestones, dependencies, and risks across all miles (FCs, First Mile, Middle Mile, Last Mile) to ensure on-time deployment of speed improvements committed in planning cycles. Manage padding configurations and UDD alignment across all miles, ensuring that padding values reflect operational reality, speed targets are achievable, and any misalignment between miles is identified and resolved before it impacts customer promises/deliveries. Build and maintain Brazil's operational contingency plan, partnering with central teams, and serving as a point of contact centralized for BR operations. Drive cross-mile alignment for speed plan execution: ensuring FC departure times, Sort Center processing windows, linehaul schedules, and last-mile delivery windows are synchronized to deliver the speed promise without creating upstream or downstream bottlenecks. Inspect and report on speed plan deployment health through WBR/MBR mechanisms — tracking which initiatives are on track, at risk, or blocked, and driving accountability across mile owners to maintain deployment timelines. Own the contingency activation process during disruptions: coordinating across operations teams to trigger contingency protocols, adjust paddings in real-time, communicate impact to stakeholders, and lead post-event retrospectives to improve future resilience. Maintain a risk register for all active speed initiatives, proactively identifying dependencies, resource constraints, and cross-team blockers — escalating early and proposing mitigation paths. Document and standardize operational playbooks for recurring events (Prime Day, Black Friday, regional peaks), ensuring contingency plans are tested, updated, and ready for activation with minimal lead time. Basic Qualifications: - Bachelor's degree - Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL - Experience in Business English skills, both verbal and written - Experience in program or project management - Experience in defining and implementing process improvement initiatives using data and metrics - Experience in supply chain Preferred Qualifications: - Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization - Experience building processes, project management, and schedules - Experience defining and executing program requirements and using data and metrics to determine improvements - Experience working cross functionally with tech and non-tech teams - Experience in driving end to end delivery, and communicating results to senior leadership 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" : "Program Manager (Speed and Contingency), BR Speed and Ops Excellence Team at Amazon Servicos de Varejo do Brasil Ltda.. Skills: Program management, Operational contingency, Speed initiatives, Stakeholder management. Own end-to-end project management of speed initiatives. 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London, United Kingdom; Munich, Bavaria, Germany; Paris, France; Milan, Lombardy, Italy; Madrid, Spain", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "technicalSkills" : "VBA", "professionalSkills" : [ "Process management", "Network optimization", "Cost optimization", "Quality assurance", "Data analysis" ], "hardSkillsList" : [ "Pivot tables", "Index/match", "Vlookup", "Data links" ], "hardSkills" : [ { "name" : "Pivot tables", "level" : "intermediate" }, { "name" : "Index/match", "level" : "intermediate" }, { "name" : "Vlookup", "level" : "intermediate" }, { "name" : "Data links", "level" : "intermediate" } ], "majorSkills" : "Network performance, Process improvement, Cross-functional projects", "majorSkillsList" : [ "Network performance", "Process improvement", "Cross-functional projects" ], "coreResponsibilities" : "Drive network performance, Develop network speed initiatives, Deploy network speed initiatives, Improve customer order cut offs, Drive cost out activities, Improve asset utilization, Identify design solutions, Implement design solutions, Identify process solutions, Implement process solutions, Increase reliability, Increase consistent delivery, Remove pipeline defects, Deliver performance improvement, Own approval from leaders, Improve performance, Schedule resource allocation, Support cross-functional projects, Support action plans, Generate solutions, Communicate risks, Mitigate risks", "teamCollaboration" : "Cross-functional environment; Business partnership; First mile stakeholders; Middle mile stakeholders; Operational AMZL Teams; Transportation functions; Senior management; Senior stakeholders; Functional teams; Individuals at all levels", "projectManagementSkills" : [ "Cross-functional projects", "Action plans" ], "domainKnowledge" : "EU Operations; Fast network; Ultra fast network; SD network programs; In-station operations; Seasonal peak demand; Customer order cut offs; End to end performance", "domainList" : [ "eu-operations", "fast-network", "ultra-fast-network", "sd-network-programs", "in-station-operations", "seasonal-peak-demand", "customer-order-cut-offs", "end-to-end-performance" ], "domainSpecificKnowledge" : [ "EU Operations", "Fast network", "Ultra fast network", "SD network programs", "In-station operations", "Seasonal peak demand", "Customer order cut offs", "End to end performance" ], "toolProficiency" : [ "Microsoft Excel" ], "communicationSkills" : "Presentations to customers; Presentations to stakeholders; Presentations to teammates; Communication with senior management", "problemSolvingSkills" : "Solving complex problems; Solving ambiguous problems", "outcomesObjectives" : "Deliver actionable insights; Impact daily business; Improve customer experience; Increase reliability; Increase consistent delivery; Remove pipeline defects; Deliver performance improvement", "qualificationsBasic" : "Bachelor's degree, Experience building measures and metrics, Developing reporting solutions, Experience in logistics, Transportation experience, Supply chain experience, Import/export operations experience, Data entry experience, Data administration experience, Experience working with cross-functional teams, Advanced Microsoft Excel knowledge, Fluent English speaking, Fluent English writing, Fluent English reading", "qualificationsPreferred" : "Master's degree, Experience communicating presentations, Experience delivering presentations, Experience managing multiple projects, Meeting aggressive deadlines, Managing multiple competing priorities, Engaging senior executives, Influencing senior executives", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "[This role can be based in Luxembourg, London, Munich, Paris, Milan, Madrid] Speed is one of the key growth pillar for EU Operations. We are the forefront of this transformational change offering and building services and network that are at the leading end of Fast and ultra fast network. The Speed Program Team drives the SD network programs with cost-optimal and speed and quality aware solutions for in-station operations, year-round and enabling the business to scale for seasonal peak demand increases. The ideal candidate is passionate about leveraging data to deliver actionable insights that impact daily business, has a strong delivery record and experienced in driving execution in a cross-functional environment, backed by analysis and data. They thrive in a fast-paced environment, relish working with large amounts of data, and enjoys the challenge of solving highly complex, and sometimes ambiguous problems. We are now looking to hire a passionate, dynamic, analytical, innovative, hands-on and customer-obsessed candidate to support network optimization. The Speed Programs Analyst act as the lead on driving network performance (quality, speed and cost) through projects and network initiatives, and will form a business partnership with first and middle mile stakeholders and operational AMZL Teams. You will play a key role in developing and deploying network speed initiatives, delivering our vision to improve customer order cut offs and driving great customer experience, as well as in our cost out activities and asset utilization. A significant proportion of role will be identifying and implementing design and process solutions that increase the reliability and consistent delivery of end to end performance, removing defects from the pipeline and deliver a corresponding improvement. The role will own the approval from senior functional leaders to enable strategies to improve performance and schedule cross-functional resource allocation efficiently and effectively. You will work closely with our Transportation functions and will be a natural self-starter who is comfortable supporting complex cross functional projects and action plans. You will have a true hands-on approach, the ability to generate solutions, strong process management skills, and be an effective communicator. This position involves regular communication with senior management on network performance, risks and time critical mitigation activities. In order to be successful in this position, you need to be comfortable interfacing with senior stakeholders as well as driving various functional teams and individuals at all levels of the organization. Keeping an open mind, sense of humor, drive and ambition will help you remain innovative in our culture. This will be an exciting opportunity for you to possess a high level of autonomy, drive real operational improvements while managing a variety of job responsibilities. Basic Qualifications: - Bachelor's degree - Experience building measures and metrics, and developing reporting solutions - Experience in logistics, transportation, supply chain, import/export operations, or data entry/data administration - Experience working with cross-functional teams - Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc. - Speak, write, and read fluently in English Preferred Qualifications: - Master's degree - Experience communicating and delivering presentations to customers, stakeholders, and/or teammates - Experience managing multiple projects and meeting aggressive deadlines - Experience in managing multiple, competing priorities simultaneously - Experience engaging and influencing senior executives, demonstrating a strong familiarity with decision-making processes in enterprise customers 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. 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" : "Speed Programs Analyst, EU Speed Programs at Amazon EU Sarl. Skills: Network performance, Process improvement, Cross-functional projects. Drive network performance. Develop network speed initiatives", "postedDate" : "2026-06-13T19:37:58.365", "createdAt" : "2026-06-13T19:37:58.365", "lastUpdated" : "2026-06-15T05:59:18.468", "ingestTimestamp" : "2026-06-13T19:37:58.365", "mongoId" : "68e6b1d370f0b99d58d66662", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3103053/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Pivot tables", "Index/match", "Vlookup", "Data links", "Network performance", "Process improvement", "Cross-functional projects", "Process management", "Network optimization", "Cost optimization", "Quality assurance", "Data analysis", "Action plans", "EU Operations", "Fast network", "Ultra fast network", "SD network programs", "In-station operations", "Seasonal peak demand", "Customer order cut offs", "End to end performance", "Microsoft Excel" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "69e1043f2beec4dd3def246a", "title" : "Sr Product Manager, Delivery Speed, Canada Delivery Speed and Experience", "company" : "Amazon.com LLC", "industry" : "Project/Program/Product Management--Non-Tech, Product Management, Retail", "salary" : { "min" : 136000.0, "max" : 184100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T03:14:53.611", "fingerprint" : "7305f7298bd0d8692cb847902fa3b9b717646ad36f94e82cd94b95324cbcb33d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10388006/apply", "externalId" : "e8faf166-2aaf-4abd-a6ab-8a1cd345f5e7", "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", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Business model analysis", "Strategic thinking", "Retail supply chain" ], "hardSkillsList" : [ "Data analysis", "Pricing structures" ], "softSkillsList" : [ "Leadership", "Thought clarity", "Analytical skills", "Judgment" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Pricing structures", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Thought clarity" }, { "name" : "Analytical skills" }, { "name" : "Judgment" } ], "majorSkills" : "Product strategy, Roadmap development, User stories, Cross-functional collaboration", "majorSkillsList" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration" ], "coreResponsibilities" : "Drive vision for new initiative, Drive requirements for new initiative, Build product from ground up, Build feature from ground up, Convert complex data into insights, Propel program growth, Ensure scalability, Lead high-visibility projects, Enhance end-to-end delivery experiences, Optimize customer experience, Partner with Operations teams, Implement on-the-ground improvements, Develop pricing structures, Refine pricing structures, Design A/B tests, Execute A/B tests, Validate improvements", "teamCollaboration" : "Cross-functional collaboration; Collaborate with Operations; Collaborate with Technology; Collaborate with Business Analytics; Collaborate with Design", "projectManagementSkills" : [ "Roadmap strategy", "Roadmap definition", "Product delivery" ], "domainKnowledge" : "Delivery experience; Customer impact; Retail invention; Canadian marketplaces; Customer-centricity; Supply chain", "domainList" : [ "delivery-experience", "customer-impact", "retail-invention", "canadian-marketplaces", "customer-centricity", "supply-chain" ], "domainSpecificKnowledge" : [ "Delivery experience", "Customer impact", "Retail invention", "Canadian marketplaces", "Customer-centricity", "Supply chain" ], "innovationCreativity" : "Customer impact; Retail invention", "problemSolvingSkills" : "Analytical skills; Data analysis", "outcomesObjectives" : "Improve delivery experience; Meet delivery promises", "qualificationsBasic" : "5+ years product management, 5+ years program management, 5+ years product marketing, 5+ years business development, 5+ years technology experience, Experience with feature delivery, Experience with product tradeoffs, Experience owning roadmap strategy, Experience driving roadmap definition, Experience with end to end product delivery, Experience as product manager, Experience as product owner, Experience owning technology products", "qualificationsPreferred" : "Experience influencing senior leadership, Experience working across functional teams, Experience with senior stakeholders, Generative AI tools usage, Willingness to learn AI prompting, Willingness to learn AI evaluation, Recognize AI opportunities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Amazon, we are working to be the most customer-centric company on earth. For millions of customers worldwide, the Amazon name is synonymous with delivery – and the Canada Delivery Speed and Experience (DSE) team provides Canadian customers with innovative ways to get what they want and when they need it, enabling the choices they make on every order, every day. We combine customer impact with retail invention, solving huge technical challenges along the way. As a Sr Product Manager for team Canada, you will have an opportunity to work with one of Amazon’s fastest growing marketplaces and help improve the delivery experience for our Canadian customers. You will be responsible for shaping the future of our delivery experience and help Amazon meet our delivery promises seamlessly. As a Product Leader, you will use a combination of leadership skills, thought clarity, analytical skills, cross-functional partnership, business model analysis, and strategic thinking to innovate on behalf of our customers. You thrive on working with cutting-edge technology and have a strong understanding of retail supply chain. You also have a proven track record of owning and delivering world-class experiences that raise-the-bar from an innovation, usability, and design perspective. Lastly, you deliver results in an ambiguous, fast-paced, dynamic business environment and are highly comfortable exercising fantastic judgment across a spectrum of highly diverse problems. Key job responsibilities * Drive the vision and requirements for a new strategic initiative, building the product or feature from the ground up * Convert complex data into actionable insights to propel program growth and ensure scalability * Lead high-visibility projects focused on enhancing end-to-end delivery experiences * Collaborate cross-functionally with Operations, Technology, Business Analytics, Design, and other Amazon teams * Optimize customer experience across Amazon platforms and apps * Partner with Operations teams to implement on-the-ground improvements * Develop and refine pricing structures * Design and execute A/B tests to validate improvements Basic Qualifications: - 5+ years of product or program management, product marketing, business development or technology experience - Bachelor's degree or equivalent - Experience with feature delivery and tradeoffs of a product - Experience owning/driving roadmap strategy and definition - Experience with end to end product delivery - Experience as a product manager or owner - Experience owning technology products Preferred Qualifications: - Experience in influencing senior leadership through data driven insights - Experience working across functional teams and senior stakeholders - Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices. - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 136,000.00 - 184,100.00 USD annually", "summaryDescription" : "Sr Product Manager, Delivery Speed, Canada Delivery Speed and Experience at Amazon.com LLC. Skills: Product strategy, Roadmap development, User stories, Cross-functional collaboration. Drive vision for new initiative. Drive requirements for new initiative", "postedDate" : "2026-06-13T07:38:44.268", "createdAt" : "2026-06-13T07:38:44.268", "lastUpdated" : "2026-06-15T03:14:53.611", "ingestTimestamp" : "2026-06-13T07:38:44.268", "mongoId" : "69e1043f2beec4dd3def246a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10388006/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 184100, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Pricing structures", "Leadership", "Thought clarity", "Analytical skills", "Judgment", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Business model analysis", "Strategic thinking", "Retail supply chain", "Roadmap strategy", "Roadmap definition", "Product delivery", "Delivery experience", "Customer impact", "Retail invention", "Canadian marketplaces", "Customer-centricity", "Supply chain" ], "skillCount" : 22, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail" }, { "id" : "68e0a7e3ce260f92cbf8ea71", "title" : "Speed Programs Analyst, EU Speed Programs", "company" : "Amazon Business EU SARL (UK)", "industry" : "Supply Chain/Transportation Management, Buying/Planning, transportation and logistics", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Speed Programs Analyst in Luxembourg, Luxembourg, adjusted for company size and industry." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T05:45:12.928", "fingerprint" : "2d3fba1b5b608747e4b7eaa6d46c21491df5ee39589741c5218a9b671678c701", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3100653/apply", "externalId" : "a3131340-2f7f-421e-9b6e-d86d08af02d8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Luxembourg", "country" : "Luxembourg", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.6112768,6.1297990" }, { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" }, { "city" : "Munich", "state" : "Bavaria", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1371079,11.5753822" }, { "city" : "Paris", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8534951,2.3483915" }, { "city" : "Milan", "state" : "Lombardy", "country" : "Italy", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "45.4641943,9.1896346" }, { "city" : "Madrid", "state" : "Community of Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "40.4167820,-3.7035070" } ], "locationText" : "Luxembourg, Luxembourg; London, United Kingdom; Munich, Bavaria, Germany; Paris, France; Milan, Lombardy, Italy; Madrid, Community of Madrid, Spain", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Network performance", "Process management", "Resource allocation" ], "hardSkillsList" : [ "Data analysis", "Problem solving" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Problem solving", "level" : "intermediate" } ], "majorSkills" : "Network optimization, Operational metrics, Cross-functional execution", "majorSkillsList" : [ "Network optimization", "Operational metrics", "Cross-functional execution" ], "coreResponsibilities" : "Drive network performance, Develop network speed initiatives, Improve customer order cut offs, Drive cost out activities, Improve asset utilization, Identify design solutions, Implement process solutions, Increase reliability, Deliver end to end performance, Remove defects from pipeline, Obtain approval from senior leaders, Schedule cross-functional resource allocation, Support complex cross functional projects, Support action plans, Generate solutions, Communicate network performance, Communicate risks, Communicate mitigation activities, Drive functional teams, Drive individuals", "teamCollaboration" : "Cross-functional environment; First and middle mile stakeholders; Operational AMZL Teams; Transportation functions; Senior stakeholders; Functional teams; Individuals at all levels", "projectManagementSkills" : [ "Project execution", "Complex projects", "Action plans" ], "domainKnowledge" : "EU Operations; Fast network; Ultra fast network; SD network programs; In-station operations; Seasonal peak demand", "domainList" : [ "eu-operations", "fast-network", "ultra-fast-network", "sd-network-programs", "in-station-operations", "seasonal-peak-demand" ], "domainSpecificKnowledge" : [ "EU Operations", "Fast network", "Ultra fast network", "SD network programs", "In-station operations", "Seasonal peak demand" ], "toolProficiency" : [ "Microsoft Excel" ], "communicationSkills" : "Communicating with senior management; Communicating with senior stakeholders; Effective communicator", "problemSolvingSkills" : "Problem solving; Analytical thinking", "outcomesObjectives" : "Deliver actionable insights; Impact daily business; Improve customer experience; Increase reliability; Deliver performance improvement; Improve performance", "qualificationsBasic" : "Bachelor's degree or equivalent, Deep dive operational metrics, Network planning or logistics/operations management role, Interacting with cross-functional teams, Proficient with Microsoft Excel, Fluent in written and spoken English", "qualificationsPreferred" : "Master's degree or equivalent, Presentations and whiteboarding skills, Prioritizing and handling multiple assignments, Completing complex tasks quickly, Sound business judgment, Proven ability to influence others, Analytical thinking skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "[This role can be based in Luxembourg, London, Munich, Paris, Milan, Madrid] Speed is one of the key growth pillar for EU Operations. We are the forefront of this transformational change offering and building services and network that are at the leading end of Fast and ultra fast network. The Speed Program Team drives the SD network programs with cost-optimal and speed and quality aware solutions for in-station operations, year-round and enabling the business to scale for seasonal peak demand increases. The ideal candidate is passionate about leveraging data to deliver actionable insights that impact daily business, has a strong delivery record and experienced in driving execution in a cross-functional environment, backed by analysis and data. They thrive in a fast-paced environment, relish working with large amounts of data, and enjoys the challenge of solving highly complex, and sometimes ambiguous problems. We are now looking to hire a passionate, dynamic, analytical, innovative, hands-on and customer-obsessed candidate to support network optimization. The Speed Programs Analyst act as the lead on driving network performance (quality, speed and cost) through projects and network initiatives, and will form a business partnership with first and middle mile stakeholders and operational AMZL Teams. You will play a key role in developing and deploying network speed initiatives, delivering our vision to improve customer order cut offs and driving great customer experience, as well as in our cost out activities and asset utilization. A significant proportion of role will be identifying and implementing design and process solutions that increase the reliability and consistent delivery of end to end performance, removing defects from the pipeline and deliver a corresponding improvement. The role will own the approval from senior functional leaders to enable strategies to improve performance and schedule cross-functional resource allocation efficiently and effectively. You will work closely with our Transportation functions and will be a natural self-starter who is comfortable supporting complex cross functional projects and action plans. You will have a true hands-on approach, the ability to generate solutions, strong process management skills, and be an effective communicator. This position involves regular communication with senior management on network performance, risks and time critical mitigation activities. In order to be successful in this position, you need to be comfortable interfacing with senior stakeholders as well as driving various functional teams and individuals at all levels of the organization. Keeping an open mind, sense of humor, drive and ambition will help you remain innovative in our culture. This will be an exciting opportunity for you to possess a high level of autonomy, drive real operational improvements while managing a variety of job responsibilities. Basic Qualifications: - - Bachelor's degree or equivalent - - Experience in deep diving operational metrics and problem solving - - Work experience within a network planning or logistics/operations management role - - Experience interacting with cross-functional teams - Proficient with Microsoft Excel - Fluent in written and spoken English Preferred Qualifications: - Master's degree or equivalent - Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers - Experience prioritizing and handling multiple assignments at any given time while maintaining commitment to deadlines, or experience with Microsoft Office products and applications - Experience prioritizing and handling multiple assignments at any given time while maintaining commitment to deadlines, or experience completing complex tasks quickly with little to no guidance and react with appropriate urgency to situations that require a quick turnaround - - Sound business judgment, proven ability to influence others, and strong analytical thinking skills 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" : "Speed Programs Analyst, EU Speed Programs at Amazon Business EU SARL (UK). Skills: Network optimization, Operational metrics, Cross-functional execution. Drive network performance. Develop network speed initiatives", "postedDate" : "2026-06-13T11:40:50.299", "createdAt" : "2026-06-13T11:40:50.299", "lastUpdated" : "2026-06-15T05:45:12.928", "ingestTimestamp" : "2026-06-13T11:40:50.299", "mongoId" : "68e0a7e3ce260f92cbf8ea71", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3100653/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Problem solving", "Network optimization", "Operational metrics", "Cross-functional execution", "Network performance", "Process management", "Resource allocation", "Project execution", "Complex projects", "Action plans", "EU Operations", "Fast network", "Ultra fast network", "SD network programs", "In-station operations", "Seasonal peak demand", "Microsoft Excel" ], "skillCount" : 18, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69f4a7e74c40e2acd1c64752", "title" : "Applied Scientist, Speed + AI", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, operations", "salary" : { "min" : 136000.0, "max" : 184000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T04:31:16.038", "fingerprint" : "bfb65876da2e5fdc0b29d631dd5dce92df0ee43ddf506061d8e6ed45e34fa7a1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10408753/apply", "externalId" : "24e7cdc5-6e9f-420c-8637-9e5daefc35f0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, Spark, Machine Learning, Data Engineering, Cloud Platforms, Data Warehousing, ETL, Statistical Modeling, A/B Testing, AWS, GCP, Azure, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Quantitative analysis", "Business intelligence", "Analytics engineering" ], "hardSkillsList" : [ "Data modeling", "Algorithm development", "Statistical analysis", "Data manipulation", "Data visualization" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Data Engineering", "majorSkillsList" : [ "Data Science", "Machine Learning", "Data Engineering" ], "coreResponsibilities" : "Develop and implement machine learning models, Design and build data pipelines, Perform data analysis and generate insights, Create and maintain dashboards and reports, Collaborate with stakeholders to understand data needs, Stay up-to-date with the latest advancements in data", "teamCollaboration" : "Cross-functional teams; Product managers; Engineering teams", "domainKnowledge" : "E-commerce analytics; Customer behavior analysis; Recommendation systems; Supply chain optimization", "domainList" : [ "e-commerce-analytics", "customer-behavior-analysis", "recommendation-systems", "supply-chain-optimization" ], "domainSpecificKnowledge" : [ "E-commerce analytics", "Customer behavior analysis", "Recommendation systems", "Supply chain optimization" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "communicationSkills" : "Present findings; Communicate insights", "documentationSkills" : "Document models; Document pipelines", "continuousLearning" : "Attend conferences; Pursue online courses", "innovationCreativity" : "Develop novel solutions; Explore new technologies", "problemSolvingSkills" : "Root cause analysis; Troubleshoot data issues; Analytical thinking", "outcomesObjectives" : "Improve product recommendations; Optimize marketing campaigns; Enhance customer experience", "qualificationsBasic" : "Bachelor's degree, 5+ years of experience in data science or related field, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "Master's degree or PhD, Experience with large-scale data processing, Experience with machine learning frameworks, Experience with cloud platforms (AWS, GCP, Azure), Experience with data visualization tools", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Why this job is awesome? - This is SUPER high-visibility work: Our mission is to provide consistent, accurate, and relevant delivery information to every single page on every Amazon-owned site. - MILLIONS of customers will be impacted by your contributions: The changes we make directly impact the customer experience on every Amazon site. This is a great position for someone who likes to leverage Machine learning technologies to solve the real customer problems, and also wants to see and measure their direct impact on customers. - We are a cross-functional team that owns the ENTIRE delivery experience for customers: From the business requirements to the technical systems that allow us to directly affect the on-site experience from a central service, business and technical team members are integrated so everyone is involved through the entire development process. - You will have a chance to develop the state-of-art machine learning, including deep learning and reinforcement learning models, to build targeting, recommendation, and optimization services to impact millions of Amazon customers. - Do you want to join an innovative team of scientists and engineers who use machine learning and statistical techniques to deliver the best delivery experience on every Amazon-owned site? - Are you excited by the prospect of analyzing and modeling terabytes of data on the cloud and create state-of-art algorithms to solve real world problems? - Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? - Do you like to innovate and simplify? If yes, then you may be a great fit to join the Speed + AI team. Key job responsibilities · Research and implement machine learning and GenAI techniques to create scalable and effective models in Delivery Experience (DEX) systems · Solve business problems and identify business opportunities to provide the best delivery experience on all Amazon-owned sites. · Design and develop highly innovative machine learning and deep learning models for big data. · Build state-of-art ranking and recommendations models and apply to Amazon search engine. · Analyze and understand large amounts of Amazon’s historical business data to detect patterns, to analyze trends and to identify correlations and causalities · Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation Basic Qualifications: - Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse Preferred Qualifications: - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually", "summaryDescription" : "Applied Scientist, Speed + AI at Amazon.com Services LLC. Skills: Data Science, Machine Learning, Data Engineering. Develop and implement machine learning models. Design and build data pipelines", "postedDate" : "2026-06-14T20:12:53.025", "createdAt" : "2026-06-14T20:12:53.025", "lastUpdated" : "2026-06-16T04:31:16.038", "ingestTimestamp" : "2026-06-14T20:12:53.025", "mongoId" : "69f4a7e74c40e2acd1c64752", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10408753/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 184000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Algorithm development", "Statistical analysis", "Data manipulation", "Data visualization", "Data Science", "Machine Learning", "Data Engineering", "Quantitative analysis", "Business intelligence", "Analytics engineering", "E-commerce analytics", "Customer behavior analysis", "Recommendation systems", "Supply chain optimization", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a15e57858b93c861e7d0033", "title" : "Technical Author for Repair Methods in After-Sales", "company" : "Mercedes-Benz Research and Development India", "industry" : "Manufacturing", "salary" : { "min" : 1300000.0, "max" : 2100000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Technical Author in the Automotive industry in Bangalore, India, adjusted for company size and specific role requirements." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "'Embassy Crest' Plot No 5, , EPIP Zone, Phase 1, " ], "timestamp" : "2026-06-15T06:52:40.531", "fingerprint" : "a8ce8b007912797ba2d1433d76ce724c21d4afef59a87d8b618635e5a9e95468", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=898401", "externalId" : "898401", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "technicalSkills" : "NX CAD, CAD", "professionalSkills" : [ "Technical documentation", "Simulation", "Publication" ], "hardSkillsList" : [ "Repair concepts", "Standard Times", "MTM-Systematic" ], "hardSkills" : [ { "name" : "Repair concepts", "level" : "intermediate" }, { "name" : "Standard Times", "level" : "intermediate" }, { "name" : "MTM-Systematic", "level" : "intermediate" } ], "majorSkills" : "Repair Methods, Technical Documentation, Automotive Components", "majorSkillsList" : [ "Repair Methods", "Technical Documentation", "Automotive Components" ], "coreResponsibilities" : "Research engineering data, Analyze engineering data, Develop digital repair methods, Develop digital maintenance methods, Evaluate repair concepts, Develop repair concepts, Document repair methods, Derive Standard Times, Understand carlines, Understand engine types, Coordinate with departments, Contribute to improvement, Research AW-System, Analyze AW-System, Plan AW-System, Plan for new car-models", "teamCollaboration" : "Different departments", "domainKnowledge" : "After Sales; Automotive components; Automotive systems; Powertrain; Vehicle Integration; Daimler workshops", "domainList" : [ "after-sales", "automotive-components", "automotive-systems", "powertrain", "vehicle-integration", "daimler-workshops" ], "domainSpecificKnowledge" : [ "After Sales", "Automotive components", "Automotive systems", "Powertrain", "Vehicle Integration", "Daimler workshops" ], "toolProficiency" : [ "NX CAD", "EC", "Work-Step-Table", "AW-System", "DC-Repa", "Daimler AW-Tool", "PLM software" ], "documentationSkills" : "Repair methods documentation", "innovationCreativity" : "Drive innovation", "qualificationsBasic" : "Experience in repairs & maintenance of cars, Experience in NX CAD, Good knowledge on automotive components/systems", "qualificationsPreferred" : "Knowledge in computer programming, Knowledge of German language, Knowhow of key aftersales processes", "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: • Research and analysis of Engineering data (3D CAD) • Develop digital repair & maintenance methods • Evaluate & develop repair concepts in EC (via Work-Step-Table “AST”) • Document repair methods in the database • Derive Standard Times via MTM-Systematic (AW: repair time for workshops) • Develop thorough understanding of the various carlines & engine types in MBC • Co-ordinate with different departments for updates on the above • Contribute to continuous improvement in the specified working area • Research and analysis of Daimler AW-System based on MTM-Systematic • Planning of the AW-System for new car-models in DC-Repa (Daimler AW-Tool) • experience in the field of After Sales/technical documentation/ simulation/publication • Good knowledge on automotive components/systems and its functioning is must • Experience in repairs & maintenance of cars is a must • Knowledge in Powertrain/ Vehicle Integration related to MBC • Experience in NX CAD is a must • Experience in any Engineering Change Management system • Experience in any PLM software • Knowledge in computer programming & German language are added advantages • Knowhow of the key aftersales processes in the Daimler workshops is desired ( e.g.: what does an MB-Technician need? ) Why Join Us? · Be part of a purpose-driven organization that is shaping the future of mobility · Work on cutting-edge technologies and global projects · Thrive in a collaborative, diverse, and inclusive environment · Access world-class infrastructure and continuous learning opportunities Equal Opportunity Statement At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Technical Author for Repair Methods in After-Sales at Mercedes-Benz Research and Development India. Skills: Repair Methods, Technical Documentation, Automotive Components. Research engineering data. Analyze engineering data", "createdAt" : "2026-06-14T02:56:29.210", "lastUpdated" : "2026-06-15T06:52:40.531", "ingestTimestamp" : "2026-06-14T02:56:29.210", "mongoId" : "6a15e57858b93c861e7d0033", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Repair concepts", "Standard Times", "MTM-Systematic", "Repair Methods", "Technical Documentation", "Automotive Components", "Technical documentation", "Simulation", "Publication", "After Sales", "Automotive components", "Automotive systems", "Powertrain", "Vehicle Integration", "Daimler workshops", "NX CAD", "EC", "Work-Step-Table", "AW-System", "DC-Repa", "Daimler AW-Tool", "PLM software" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307a95f292fd229c03da19", "title" : "Chief of Staff to the CEO", "company" : "Top Shelf Collective", "industry" : "Retail", "salary" : { "min" : 2000000.0, "max" : 3500000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager-level Chief of Staff in Manila, Philippines, adjusted for the retail industry and a top-tier company." }, "location" : "Manila, Manila, Philippines", "locations" : [ "Manila", "Manila", "Philippines" ], "timestamp" : "2026-06-16T11:00:19.579", "fingerprint" : "1c85fdaa2fe01fa3d5aa7729f71af041beb4a7195ceff33d4174069089d830f8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/freshprints/jobs/6030437004", "externalId" : "6030437004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Manila", "state" : "Manila", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.5904492,120.9803621" } ], "locationText" : "Manila, Manila, Philippines", "employmentType" : "FULL_TIME", "technicalSkills" : "Google Workspace, Microsoft Office", "professionalSkills" : [ "Project management", "Business analysis", "Process improvement", "Vendor evaluation", "Operational reporting" ], "hardSkillsList" : [ "Executive support", "Calendar management", "Meeting summaries", "Project coordination", "Deliverable tracking", "Research", "Business analysis", "Workflow improvement", "SOP creation", "Process documentation", "AI implementation", "Automation solutions", "Technology adoption" ], "softSkillsList" : [ "Resourceful", "Curious", "Accountable", "Independent" ], "hardSkills" : [ { "name" : "Executive support", "level" : "intermediate" }, { "name" : "Calendar management", "level" : "intermediate" }, { "name" : "Meeting summaries", "level" : "intermediate" }, { "name" : "Project coordination", "level" : "intermediate" }, { "name" : "Deliverable tracking", "level" : "intermediate" }, { "name" : "Research", "level" : "intermediate" }, { "name" : "Business analysis", "level" : "intermediate" }, { "name" : "Workflow improvement", "level" : "intermediate" }, { "name" : "SOP creation", "level" : "intermediate" }, { "name" : "Process documentation", "level" : "intermediate" }, { "name" : "AI implementation", "level" : "intermediate" }, { "name" : "Automation solutions", "level" : "intermediate" }, { "name" : "Technology adoption", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Resourceful" }, { "name" : "Curious" }, { "name" : "Accountable" }, { "name" : "Independent" } ], "majorSkills" : "Executive Operations, Project Management, Business Analysis, Process Improvement", "majorSkillsList" : [ "Executive Operations", "Project Management", "Business Analysis", "Process Improvement" ], "coreResponsibilities" : "Manage executive communications, Organize executive inbox, Follow up on executive actions, Coordinate executive calendars, Schedule meetings and appointments, Manage recurring priorities, Prepare meeting summaries, Prepare reports, Prepare internal documentation, Prioritize competing requests, Ensure key initiatives remain on track, Serve as operational partner to CEO, Coordinate projects from planning through execution, Track project deliverables, Track project deadlines, Track action items, Track stakeholder responsibilities, Follow up with stakeholders to ensure progress, Support implementation of strategic initiatives, Support operational improvements, Assist with new business initiatives, Assist with research projects, Assist with special assignments, Conduct research on vendors, Conduct research on products, Conduct research on services, Conduct research on technology solutions, Conduct research on business opportunities, Gather information for recommendations, Provide organized recommendations to leadership, Assist with vendor evaluations, Assist with RFP creation, Assist with solution comparisons, Analyze operational reports, Identify trends in reports, Identify risks in reports, Identify opportunities in reports, Support decision-making through research, Support decision-making through documentation, Support decision-making through analysis, Identify workflow inefficiencies, Identify workflow improvement opportunities, Create SOPs, Maintain SOPs, Create process documentation, Maintain process documentation, Create operational playbooks, Maintain operational playbooks, Assist with system implementation, Assist with tool implementation, Assist with operational improvement implementation, Standardize recurring processes across businesses, Ensure effective information flow between teams, Ensure effective communication flow between teams, Research and recommend productivity tools, Research and recommend efficiency tools, Assist with AI implementation, Assist with automation solution implementation, Document workflows, Support technology adoption initiatives, Identify opportunities to streamline repetitive tasks, Identify opportunities to streamline manual processes, Support initiatives across multiple businesses, Coordinate with vendors, Coordinate with partners, Coordinate with consultants, Coordinate with service providers, Assist with operational reporting, Assist with project reporting", "teamCollaboration" : "Cross-functional teams; Internal stakeholders; External stakeholders; Multiple businesses", "projectManagementSkills" : [ "Project management", "Agile", "Scrum", "Roadmap planning", "Kanban" ], "domainKnowledge" : "Retail operations; Hospitality operations; Specialty services; Community ventures; Business portfolio management", "domainList" : [ "retail-operations", "hospitality-operations", "specialty-services", "community-ventures", "business-portfolio-management" ], "domainSpecificKnowledge" : [ "Retail operations", "Hospitality operations", "Specialty services", "Community ventures", "Business portfolio management" ], "toolProficiency" : [ "Google Workspace", "Microsoft Office", "ChatGPT", "Claude", "Gemini" ], "communicationSkills" : "Executive communications; Meeting summaries; Internal documentation; Verbal communication; Written communication", "documentationSkills" : "SOP creation; Process documentation; Operational playbooks", "continuousLearning" : "Gain exposure to business operations; Gain exposure to projects; Gain exposure to leadership initiatives", "innovationCreativity" : "Implement AI and automation solutions; Streamline repetitive tasks; Streamline manual processes", "problemSolvingSkills" : "Problem-solving; Research; Analytical skills; Identify inefficiencies; Identify opportunities", "specialRequirements" : "Monday-Friday, 8:00 AM - 5:00 PM EST, Full-time remote role", "outcomesObjectives" : "Improve business processes; Ensure initiatives move forward; Create structure; Improve efficiency; Remove operational bottlenecks; Ensure progress on deliverables; Support strategic initiatives; Support operational improvements; Support new business initiatives; Provide organized recommendations; Improve workflows; Standardize recurring processes; Ensure effective information flow; Ensure effective communication flow; Improve productivity; Improve efficiency; Streamline repetitive tasks; Streamline manual processes; Improve operations; Implement systems; Support business growth", "qualificationsBasic" : "4+ years of experience in operations, project management, executive support, business operations, or similar, Exceptional written and verbal English communication skills, Organizational and time management abilities, Demonstrated ability to manage multiple priorities simultaneously, Problem-solving, research, and analytical skills, High level of accountability and ownership, Ability to work independently and proactively identify solutions, Proficiency with Google Workspace, Microsoft Office, and modern collaboration tools", "qualificationsPreferred" : "Experience supporting founders, executives, or business owners, Experience working in entrepreneurial, startup, or small business environments, Experience creating SOPs and operational documentation, Familiarity with AI tools such as ChatGPT, Claude, Gemini, or similar platforms, Exposure to vendor management, procurement, operations, or process improvement, Experience coordinating multiple projects across different departments or business units", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Frontier Frontier is a subsidiary of Fresh Prints. Fresh Prints is a New York-based, fast-growing, fully remote, 150-person company with most of our team based in India and the Philippines. A few years ago, Fresh Prints began helping other fast-growing companies build their teams. We got so good at it that we spun out a new company to focus exclusively on that — and called it Frontier. At Frontier, we help companies grow full-time, cross-functional teams abroad. We hire the smartest people and place them into the best companies. In three years, we’ve never lost a client. If you’re interested in a Frontier role and you apply and are accepted, we’ll screen you through assessments and interviews and aim to get you an interview for a full-time job within the month. Think of us as your personal talent agent — and good luck with the application! \uD83D\uDE0A Please note: To ensure we find the best technical fit, our process will have a practical skills assessment prior to interviews. ABOUT TOP SHELF COLLECTIVE Top Shelf Collective is a family of locally owned businesses based in Jackson Hole, Wyoming. The organization operates a diverse portfolio of companies, including The Liquor Store & Wine Loft of Jackson Hole, Jackson Hole Marketplace, The Vault of Jackson Hole, Jackson Hole Gift Baskets, Jackson Hole Wine Club, and Jackson Hole Connection. Led by entrepreneur Stephan Abrams, Top Shelf Collective is built on a commitment to customer service, community involvement, operational excellence, and continuous improvement. With businesses spanning retail, hospitality, specialty services, and community-focused ventures, the organization is focused on creating exceptional experiences while continuing to grow and evolve. ROLE OVERVIEW The Chief of Staff serves as a trusted operational partner to the CEO, helping manage priorities, execute projects, improve business processes, and ensure important initiatives move forward. This role sits at the intersection of executive support, operations, project management, business analysis, and process improvement. The Chief of Staff will work directly with the CEO across multiple businesses and initiatives, helping create structure, improve efficiency, and remove operational bottlenecks. This is a highly dynamic role requiring strong business judgment, exceptional organization, proactive communication, and the ability to independently drive work forward with minimal oversight. The ideal candidate is resourceful, curious, highly accountable, and thrives in fast-moving environments where priorities can shift quickly. KEY RESPONSIBILITIES Executive Operations & Support Manage executive communications, inbox organization, and follow-up actions. Coordinate calendars, meetings, appointments, and recurring priorities. Prepare meeting summaries, reports, and internal documentation. Help prioritize competing requests and ensure key initiatives remain on track. Serve as a trusted operational partner to the CEO across multiple areas of the business. Project Management & Special Initiatives Coordinate and manage projects from planning through execution. Track deliverables, deadlines, action items, and stakeholder responsibilities. Follow up with internal and external stakeholders to ensure progress. Support implementation of strategic initiatives and operational improvements. Assist with new business initiatives, research projects, and special assignments. Research & Business Analysis Conduct research on vendors, products, services, technology solutions, and business opportunities. Gather information and provide organized recommendations to leadership. Assist with vendor evaluations, RFP creation, and solution comparisons. Analyze operational reports and identify trends, risks, or opportunities. Support decision-making through research, documentation, and analysis. Operations & Process Improvement Identify inefficiencies and opportunities to improve workflows. Create and maintain SOPs, process documentation, and operational playbooks. Assist with implementation of systems, tools, and operational improvements. Help standardize recurring processes across multiple businesses. Ensure information and communication flow effectively between teams. Technology & AI Enablement Research and recommend tools that improve productivity and efficiency. Assist with implementation of AI and automation solutions. Document workflows and support technology adoption initiatives. Help identify opportunities to streamline repetitive tasks and manual processes. Cross-Functional Business Support Support initiatives across multiple businesses within the Top Shelf Collective portfolio. Coordinate with vendors, partners, consultants, and service providers. Assist with operational reporting, project tracking, and administrative workflows. Take ownership of recurring responsibilities and continuously improve them over time. REQUIRED QUALIFICATIONS 4+ years of experience in operations, project management, executive support, business operations, or a similar role. Exceptional written and verbal English communication skills. Strong organizational and time management abilities. Demonstrated ability to manage multiple priorities simultaneously. Strong problem-solving, research, and analytical skills. High level of accountability and ownership. Ability to work independently and proactively identify solutions. Proficiency with Google Workspace, Microsoft Office, and modern collaboration tools. PREFERRED QUALIFICATIONS Experience supporting founders, executives, or business owners. Experience working in entrepreneurial, startup, or small business environments. Experience creating SOPs and operational documentation. Familiarity with AI tools such as ChatGPT, Claude, Gemini, or similar platforms. Exposure to vendor management, procurement, operations, or process improvement. Experience coordinating multiple projects across different departments or business units. IDEAL CANDIDATE PROFILE Proactive and highly resourceful. Naturally curious with a strong desire to learn. Comfortable operating in ambiguity and figuring things out independently. Strong attention to detail and follow-through. Excellent communicator who keeps stakeholders informed and aligned. Able to balance strategic thinking with hands-on execution. Process-oriented while remaining flexible and adaptable. Takes ownership of outcomes rather than simply completing assigned tasks. Excited by the opportunity to work directly with a business owner and support multiple projects. growing businesses. COMPENSATION & BENEFITS Environment: Work directly with the CEO of a growing portfolio of locally owned businesses and gain exposure to a wide variety of business operations, projects, and leadership initiatives. Type: Full-time remote role. Shift: Monday–Friday, 8:00 AM – 5:00 PM EST. Opportunity: Play a key role in improving operations, implementing systems, and supporting business growth across multiple companies. rd Time/NY (EST) business hours.", "summaryDescription" : "Chief of Staff to the CEO at Top Shelf Collective. Skills: Executive Operations, Project Management, Business Analysis, Process Improvement. Manage executive communications. Organize executive inbox", "postedDate" : "2026-06-16T01:20:02.895", "createdAt" : "2026-06-16T01:20:02.895", "lastUpdated" : "2026-06-16T11:00:19.579", "ingestTimestamp" : "2026-06-16T01:20:02.895", "mongoId" : "6a307a95f292fd229c03da19", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Executive support", "Calendar management", "Meeting summaries", "Project coordination", "Deliverable tracking", "Research", "Business analysis", "Workflow improvement", "SOP creation", "Process documentation", "AI implementation", "Automation solutions", "Technology adoption", "Resourceful", "Curious", "Accountable", "Independent", "Executive Operations", "Project Management", "Business Analysis", "Process Improvement", "Project management", "Process improvement", "Vendor evaluation", "Operational reporting", "Agile", "Scrum", "Roadmap planning", "Kanban", "Retail operations", "Hospitality operations", "Specialty services", "Community ventures", "Business portfolio management", "Google Workspace", "Microsoft Office", "ChatGPT", "Claude", "Gemini" ], "skillCount" : 39, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.92 }, { "id" : "6a191e7758b93c861e39f6a8", "title" : "Technical Author for Repair Methods in After-Sales", "company" : "Mercedes-Benz Research and Development India", "industry" : "Manufacturing", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Technical Author in the Automotive industry in Bangalore, India, adjusted for company size and specific role requirements." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "'Embassy Crest' Plot No 5, , EPIP Zone, Phase 1, " ], "timestamp" : "2026-06-15T11:32:39.488", "fingerprint" : "186a8f1efab75d9ac5ad7f07415876eaf76a912de37a383c5524d2206e6b6e9e", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=898401", "externalId" : "898401", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "technicalSkills" : "NX CAD, CAD", "professionalSkills" : [ "Technical documentation", "Simulation", "Publication", "Engineering Change Management", "PLM software" ], "hardSkillsList" : [ "MTM-Systematic", "3D CAD analysis" ], "hardSkills" : [ { "name" : "MTM-Systematic", "level" : "intermediate" }, { "name" : "3D CAD analysis", "level" : "intermediate" } ], "majorSkills" : "Repair methods, Technical documentation, Automotive components", "majorSkillsList" : [ "Repair methods", "Technical documentation", "Automotive components" ], "coreResponsibilities" : "Research engineering data, Analyze engineering data, Develop digital repair methods, Develop digital maintenance methods, Evaluate repair concepts, Develop repair concepts, Document repair methods, Derive Standard Times, Understand carlines, Understand engine types, Coordinate with departments, Contribute to improvement, Research Daimler AW-System, Analyze Daimler AW-System, Plan AW-System", "teamCollaboration" : "Co-ordinate with departments", "domainKnowledge" : "After Sales; Automotive components; Powertrain; Vehicle Integration; Daimler workshops", "domainList" : [ "after-sales", "automotive-components", "powertrain", "vehicle-integration", "daimler-workshops" ], "domainSpecificKnowledge" : [ "After Sales", "Automotive components", "Powertrain", "Vehicle Integration", "Daimler workshops" ], "toolProficiency" : [ "NX CAD", "EC", "Work-Step-Table AST", "DC-Repa", "Daimler AW-Tool" ], "documentationSkills" : "Technical documentation", "qualificationsBasic" : "Experience in repairs & maintenance of cars, Experience in NX CAD, Good knowledge on automotive components/systems", "qualificationsPreferred" : "Knowledge in computer programming, Knowledge of German language, Knowhow of key aftersales processes", "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: • Research and analysis of Engineering data (3D CAD) • Develop digital repair & maintenance methods • Evaluate & develop repair concepts in EC (via Work-Step-Table “AST”) • Document repair methods in the database • Derive Standard Times via MTM-Systematic (AW: repair time for workshops) • Develop thorough understanding of the various carlines & engine types in MBC • Co-ordinate with different departments for updates on the above • Contribute to continuous improvement in the specified working area • Research and analysis of Daimler AW-System based on MTM-Systematic • Planning of the AW-System for new car-models in DC-Repa (Daimler AW-Tool) • experience in the field of After Sales/technical documentation/ simulation/publication • Good knowledge on automotive components/systems and its functioning is must • Experience in repairs & maintenance of cars is a must • Knowledge in Powertrain/ Vehicle Integration related to MBC • Experience in NX CAD is a must • Experience in any Engineering Change Management system • Experience in any PLM software • Knowledge in computer programming & German language are added advantages • Knowhow of the key aftersales processes in the Daimler workshops is desired ( e.g.: what does an MB-Technician need? ) Why Join Us? · Be part of a purpose-driven organization that is shaping the future of mobility · Work on cutting-edge technologies and global projects · Thrive in a collaborative, diverse, and inclusive environment · Access world-class infrastructure and continuous learning opportunities Equal Opportunity Statement At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Technical Author for Repair Methods in After-Sales at Mercedes-Benz Research and Development India. Skills: Repair methods, Technical documentation, Automotive components. Research engineering data. 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As a key partner in the ARC Research Hub for Molecular Biosensors at Point-of-Use (MOBIUS), our research focuses on identifying and validating biomarkers and the development of biosensors. The successful PhD applicant will be based at the Institute for Biomedicine and Glycomics (IBG), based at Brisbane South (Nathan) campus of Griffith University and will work within a collaborative and interdisciplinary environment alongside the Australian Shoulder Research Institute. As Griffith is a multi-site University you may be required to work across other locations. Griffith University’s sites are located on the lands of the Yugarabul, Yuggera, Jagera, Turrbal, Yugambeh and Kombumerri peoples. We are currently seeking highly motivated PhD candidates to join our research team at Griffith University. This exciting project is part of the ARC Research Hub for Molecular Biosensors at Point-of-Use (MOBIUS). The successful applicant will focus on the development and validation of novel biomarkers for musculoskeletal health, primarily based at Griffith University (Nathan) and the Australian Shoulder Research Institute (ASRI). Project Highlights: * Focus on non-invasive detection methods and point-of-use biosensors. * Partner with the Australian Shoulder Research Institute to develop cutting-edge tools for biomarker discovery. * Opportunity to work at the intersection of translational medicine, proteomics, and involving extensive protein and RNA work. ## Qualifications The selection of applicants for the award of higher degree research scholarships at Griffith University involves consideration of your academic merit and research background. To be successful in this role, you should have: * A strong academic background in Medical Laboratory Science, Pathology, Molecular Pathology, or a closely related field. * Demonstrated research experience working at the interface with hospital laboratories and working with end users. * Technical proficiency or interest in running protein and RNA assays. * Have a valid Australian Drivers license. * Evidence of collaborative skills and the ability to work effectively with clinical and laboratory-based research teams. * A clear passion for research and a commitment to advancing the field of personalised biomarking, paving the way for precision health. * Expressions of interest are welcome from domestic and international applicants. * Applicants must have completed, or expect to complete, a Bachelor degree with Honours equivalent to first class Honours or a Master’s degree (AQF Level 9) incorporating a significant research component of a standard comparable to a Bachelor Honours degree or be regarded by Griffith University as having an [equivalent level of attainment](https://www.griffith.edu.au/research-study/degrees/equivalent-qualifications-for-hdr-program-admission). For further information on the eligibility requirements for the program, refer [here](https://www.griffith.edu.au/research-study/degrees). Please note : Applicants must have obtained a Master’s degree or an Honours degree in relative fields. A solid background in Medical Laboratory Science, Pathology, Molecular Pathology with an interest in biomarker discovery is required. Some experience in the field of multivariate statistical analysis would be beneficial but is not required. International applicants should ensure that English Language Proficiency requirements for the program are met before formally applying. Applicants to research programs will need to show they meet: * A minimum overall band score of 6.5 on the IELTS (Academic) with no band score less than 6.0 OR * A minimum score of 575 on the paper-based TOEFL including a score of no less than 5.0 on the TWE OR * A score of 79 on the internet-based (iBT) TOEFL with no sub-score less than 19. ## Additional Information About the scholarship The 2026 Griffith University Postgraduate Research Scholarship has an annual stipend of $35,656 (indexed) for a period of up to three years of full-time study. Please see the [GUPRS Conditions of Award](https://www.griffith.edu.au/research-study/scholarships/guprs) for more information. A successful international applicant will also be awarded a Griffith University International Postgraduate Research Scholarship to cover tuition fees for up to three years. Please see the [GUIPRS Conditions of Award](https://www.griffith.edu.au/research-study/scholarships/guiprs) for more information. What Griffith offers As a scholarship holder, you will study at a University that ranks among the top 2% worldwide and spans across campuses in South East Queensland. At Griffith University, we’ve worked hard to create a culture that will challenge you to be curious, creative and courageous. We also support the professional and personal development of all our HDR candidates and invest in the skills of our people. Griffith University values diversity, inclusion and flexibility and we encourage Aboriginal and Torres Strait Islander and people of all backgrounds to apply. Griffith's strategic goals are to also increase the proportion of women in senior academic and administrative roles and in Science, Technology, Engineering, Mathematics and Medicine (STEMM). EOI Process Please do not select the “APPLY” button. All expressions of interest must be submitted to [c.punyadeera@griffith.edu.au](mailto:c.punyadeera@griffith.edu.au) containing: * Statement addressing your suitability for the project/scholarship * Research proposal * Evidence that you have completed a program with the required grades as detailed in the About you section * A curriculum vitae (CV) using the [Griffith CV template](https://www.griffith.edu.au/data/assets/pdffile/0023/312746/Standard-Academic-CV-Template-GGRSincl-creative-outputs.pdf) * Names of two referees Closing date for expressions of interest is : Sunday 21 June 2026, 11.59pm AEST Please note - To be considered for PhD scholarship, you will need to address the selection criteria along with the CV and send it to Professor Punyadeera. EOIs received without addressing the selection criteria will not be considered. The preferred applicant will then be invited to apply for the program and scholarship on-line. For project related enquiries please contact: Professor Chamindie Punyadeera Phone: (07) 373 53660 Email: [c.punyadeera@griffith.edu.au](mailto:c.punyadeera@griffith.edu.au) For administration enquiries please contact: Griffith Graduate Research School Phone: (07) 3735 3817 Email: [hdr-scholarship@griffith.edu.au](mailto:hdr-scholarship@griffith.edu.au)", "summaryDescription" : "PhD Scholarship: Development and validation of novel biomarkers for musculoskeletal health at Griffith University. Skills: Biomarker validation, Musculoskeletal health, Non-invasive detection. Develop novel biomarkers. Validate novel biomarkers", "postedDate" : "2026-06-15T22:16:21.000", "createdAt" : "2026-06-16T03:33:12.016", "lastUpdated" : "2026-06-16T12:39:23.196", "ingestTimestamp" : "2026-06-16T03:33:12.016", "mongoId" : "6a309199f292fd229c0bf692", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Protein assays", "RNA assays", "Statistical analysis", "Collaborative skills", "Biomarker validation", "Musculoskeletal health", "Non-invasive detection", "Biomarker discovery", "Biosensor development", "Translational medicine", "Proteomics", "Protein work", "RNA work", "Metabolic diseases", "Cancer biomarkers", "Precision health", "Molecular biosensors" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3080f9f292fd229c068597", "title" : "PhD Scholarship: Development and validation of novel biomarkers for musculoskeletal health", "company" : "Griffith University", "industry" : "Higher Education", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a PhD scholarship in Australia, adjusted for entry-level seniority and the healthcare industry in Nathan." }, "location" : "Nathan, QLD, Australia", "locations" : [ "Nathan", "QLD", "Australia" ], "timestamp" : "2026-06-16T14:54:18.130", "fingerprint" : "59398f4c830b7f9928f603b5f40052d0fab01f226be3a6d22bb39b3a1a8b266d", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/GriffithUniversity/744000132292129-phd-scholarship-development-and-validation-of-novel-biomarkers-for-musculoskeletal-health", "externalId" : "744000132292129", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Nathan", "state" : "Queensland", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-27.5485110,153.0523165" } ], "locationText" : "Nathan, Queensland, Australia", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceLevel" : "not-applicable", "technicalSkills" : "Python, R, SQL", "professionalSkills" : [ "Biomarker discovery", "Biosensor development", "Translational medicine", "Proteomics", "Protein assays", "RNA assays" ], "hardSkillsList" : [ "Statistical analysis", "Protein assays", "RNA assays" ], "softSkillsList" : [ "Collaborative skills" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Protein assays", "level" : "intermediate" }, { "name" : "RNA assays", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Collaborative skills" } ], "majorSkills" : "Biomarker discovery, Musculoskeletal health, Biosensors", "majorSkillsList" : [ "Biomarker discovery", "Musculoskeletal health", "Biosensors" ], "coreResponsibilities" : "Develop novel biomarkers, Validate novel biomarkers, Focus on non-invasive detection methods, Develop point-of-use biosensors, Work at intersection of translational medicine, Conduct extensive protein work, Conduct extensive RNA work", "teamCollaboration" : "Interdisciplinary environment; Clinical and laboratory teams", "domainKnowledge" : "Metabolic diseases; Cancer biomarkers; Precision health; Musculoskeletal health; Molecular biosensors", "domainList" : [ "metabolic-diseases", "cancer-biomarkers", "precision-health", "musculoskeletal-health", "molecular-biosensors" ], "domainSpecificKnowledge" : [ "Metabolic diseases", "Cancer biomarkers", "Precision health", "Musculoskeletal health", "Molecular biosensors" ], "innovationCreativity" : "R&D projects", "qualificationsBasic" : "Bachelor degree with Honours equivalent to first class, Master's degree (AQF Level 9) with research component, Medical Laboratory Science background, Pathology background, Molecular Pathology background, Valid Australian Drivers license", "qualificationsPreferred" : "PhD preferred, Experience in multivariate statistical analysis", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Saliva and Liquid Biopsy Group is dedicated to advancing biomarker discovery for metabolic diseases and cancer, with the goal of improving precision health. As a key partner in the ARC Research Hub for Molecular Biosensors at Point-of-Use (MOBIUS), our research focuses on identifying and validating biomarkers and the development of biosensors. The successful PhD applicant will be based at the Institute for Biomedicine and Glycomics (IBG), based at Brisbane South (Nathan) campus of Griffith University and will work within a collaborative and interdisciplinary environment alongside the Australian Shoulder Research Institute. As Griffith is a multi-site University you may be required to work across other locations. Griffith University’s sites are located on the lands of the Yugarabul, Yuggera, Jagera, Turrbal, Yugambeh and Kombumerri peoples. We are currently seeking highly motivated PhD candidates to join our research team at Griffith University. This exciting project is part of the ARC Research Hub for Molecular Biosensors at Point-of-Use (MOBIUS). The successful applicant will focus on the development and validation of novel biomarkers for musculoskeletal health, primarily based at Griffith University (Nathan) and the Australian Shoulder Research Institute (ASRI). Project Highlights: * Focus on non-invasive detection methods and point-of-use biosensors. * Partner with the Australian Shoulder Research Institute to develop cutting-edge tools for biomarker discovery. * Opportunity to work at the intersection of translational medicine, proteomics, and involving extensive protein and RNA work. ## Qualifications The selection of applicants for the award of higher degree research scholarships at Griffith University involves consideration of your academic merit and research background. To be successful in this role, you should have: * A strong academic background in Medical Laboratory Science, Pathology, Molecular Pathology, or a closely related field. * Demonstrated research experience working at the interface with hospital laboratories and working with end users. * Technical proficiency or interest in running protein and RNA assays. * Have a valid Australian Drivers license. * Evidence of collaborative skills and the ability to work effectively with clinical and laboratory-based research teams. * A clear passion for research and a commitment to advancing the field of personalised biomarking, paving the way for precision health. * Expressions of interest are welcome from domestic and international applicants. * Applicants must have completed, or expect to complete, a Bachelor degree with Honours equivalent to first class Honours or a Master’s degree (AQF Level 9) incorporating a significant research component of a standard comparable to a Bachelor Honours degree or be regarded by Griffith University as having an [equivalent level of attainment](https://www.griffith.edu.au/research-study/degrees/equivalent-qualifications-for-hdr-program-admission). For further information on the eligibility requirements for the program, refer [here](https://www.griffith.edu.au/research-study/degrees). Please note : Applicants must have obtained a Master’s degree or an Honours degree in relative fields. A solid background in Medical Laboratory Science, Pathology, Molecular Pathology with an interest in biomarker discovery is required. Some experience in the field of multivariate statistical analysis would be beneficial but is not required. International applicants should ensure that English Language Proficiency requirements for the program are met before formally applying. Applicants to research programs will need to show they meet: * A minimum overall band score of 6.5 on the IELTS (Academic) with no band score less than 6.0 OR * A minimum score of 575 on the paper-based TOEFL including a score of no less than 5.0 on the TWE OR * A score of 79 on the internet-based (iBT) TOEFL with no sub-score less than 19. ## Additional Information About the scholarship The 2026 Griffith University Postgraduate Research Scholarship has an annual stipend of $35,656 (indexed) for a period of up to three years of full-time study. Please see the [GUPRS Conditions of Award](https://www.griffith.edu.au/research-study/scholarships/guprs) for more information. A successful international applicant will also be awarded a Griffith University International Postgraduate Research Scholarship to cover tuition fees for up to three years. Please see the [GUIPRS Conditions of Award](https://www.griffith.edu.au/research-study/scholarships/guiprs) for more information. What Griffith offers As a scholarship holder, you will study at a University that ranks among the top 2% worldwide and spans across campuses in South East Queensland. At Griffith University, we’ve worked hard to create a culture that will challenge you to be curious, creative and courageous. We also support the professional and personal development of all our HDR candidates and invest in the skills of our people. Griffith University values diversity, inclusion and flexibility and we encourage Aboriginal and Torres Strait Islander and people of all backgrounds to apply. Griffith's strategic goals are to also increase the proportion of women in senior academic and administrative roles and in Science, Technology, Engineering, Mathematics and Medicine (STEMM). EOI Process Please do not select the “APPLY” button. All expressions of interest must be submitted to [c.punyadeera@griffith.edu.au](mailto:c.punyadeera@griffith.edu.au) containing: * Statement addressing your suitability for the project/scholarship * Research proposal * Evidence that you have completed a program with the required grades as detailed in the About you section * A curriculum vitae (CV) using the [Griffith CV template](https://www.griffith.edu.au/data/assets/pdffile/0023/312746/Standard-Academic-CV-Template-GGRSincl-creative-outputs.pdf) * Names of two referees Closing date for expressions of interest is : Sunday 21 June 2026, 11.59pm AEST Please note - To be considered for PhD scholarship, you will need to address the selection criteria along with the CV and send it to Professor Punyadeera. EOIs received without addressing the selection criteria will not be considered. The preferred applicant will then be invited to apply for the program and scholarship on-line. For project related enquiries please contact: Professor Chamindie Punyadeera Phone: (07) 373 53660 Email: [c.punyadeera@griffith.edu.au](mailto:c.punyadeera@griffith.edu.au) For administration enquiries please contact: Griffith Graduate Research School Phone: (07) 3735 3817 Email: [hdr-scholarship@griffith.edu.au](mailto:hdr-scholarship@griffith.edu.au)", "summaryDescription" : "PhD Scholarship: Development and validation of novel biomarkers for musculoskeletal health at Griffith University. Skills: Biomarker discovery, Musculoskeletal health, Biosensors. Develop novel biomarkers. 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We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. 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Leeds, England, United Kingdom; Manchester, England, United Kingdom; London, England, United Kingdom; Bulgaria", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, Scala, Spark, Dbt, SQL, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Lakehouse architectures, Streaming architectures, Kinesis, Microsoft Fabric", "professionalSkills" : [ "Client engagement", "Deal shaping", "Pricing models", "Delivery approaches", "Commercial outcomes", "Revenue growth", "Gross margin", "Win rates", "Deal quality", "Team composition", "Hiring", "Progression management", "Performance management", "Learning investment", "Technical decision-making", "Commercial awareness", "Technical depth", "Client impact", "Pragmatic decisions" ], "hardSkillsList" : [ "Data platforms", "Analytics ecosystems", "ML lifecycle management", "MLOps", "Production AI systems", "Cloud-native data platforms", "AWS data platforms", "Lakehouse architectures", "Streaming architectures", "Data ecosystems", "AI solutions" ], "softSkillsList" : [ "Credibility", "Clarity", "Candour", "Trust", "Low ego" ], "hardSkills" : [ { "name" : "Data platforms", "level" : "intermediate" }, { "name" : "Analytics ecosystems", "level" : "intermediate" }, { "name" : "ML lifecycle management", "level" : "intermediate" }, { "name" : "MLOps", "level" : "intermediate" }, { "name" : "Production AI systems", "level" : "intermediate" }, { "name" : "Cloud-native data platforms", "level" : "intermediate" }, { "name" : "AWS data platforms", "level" : "intermediate" }, { "name" : "Lakehouse architectures", "level" : "intermediate" }, { "name" : "Streaming architectures", "level" : "intermediate" }, { "name" : "Data ecosystems", "level" : "intermediate" }, { "name" : "AI solutions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Credibility" }, { "name" : "Clarity" }, { "name" : "Candour" }, { "name" : "Trust" }, { "name" : "Low ego" } ], "majorSkills" : "Data capability leadership, Cloud data platforms, MLOps", "majorSkillsList" : [ "Data capability leadership", "Cloud data platforms", "MLOps" ], "coreResponsibilities" : "Define 'great' for Data roles, Foster a positive environment, Create a team culture, Make hiring decisions, Make progression decisions, Make performance management decisions, Make learning investment decisions, Take ownership of Data capability contribution, Support deal shaping, Identify opportunities to expand Data & AI work, Track capability KPIs, Report on capability KPIs", "teamCollaboration" : "Close to delivery; Close to clients; Close to technical decision-making; High trust; Minimal unnecessary process; Management close to work; High standards of performance; Cross-functional teams", "projectManagementSkills" : [ "Roadmap planning", "Delivery approaches" ], "domainKnowledge" : "AI-native consulting; Cloud-native architecture; Enterprise-scale architectures; ML lifecycle management; MLOps; Production AI systems; Data & AI application", "domainList" : [ "ai-native-consulting", "cloud-native-architecture", "enterprise-scale-architectures", "ml-lifecycle-management", "mlops", "production-ai-systems", "data-ai-application" ], "domainSpecificKnowledge" : [ "AI-native consulting", "Cloud-native architecture", "Enterprise-scale architectures", "ML lifecycle management", "MLOps", "Production AI systems", "Data & AI application" ], "toolProficiency" : [ "AWS", "Databricks", "Snowflake", "Microsoft Fabric", "S3", "Glue", "Redshift", "EMR", "Kinesis", "Azure", "GCP", "Vertex AI", "Synapse", "ML Studio" ], "communicationSkills" : "Client presentations; Stakeholder engagement", "continuousLearning" : "40 hours paid learning; Personal growth investment", "innovationCreativity" : "AI solutions development; Building digital products", "problemSolvingSkills" : "Pragmatic decisions; Difficult trade-offs", "specialRequirements" : "Occasional travel", "outcomesObjectives" : "Revenue growth; Gross margin protection; Gross margin improvement; Win rates; Deal quality; Expand Data & AI work; Meaningful capability KPIs", "qualificationsBasic" : "Senior Capability Lead experience, Head of Data experience, Experience in consultancy, Experience in complex delivery organisation, Experience building and scaling multi-disciplinary Data capabilities, Experience shaping and delivering Data & AI-led solutions, Experience engaging with senior client stakeholders, Hands-on understanding of modern cloud-native data platforms, Experience designing and delivering AWS-centric data platforms, Practical experience with modern data platforms, Familiarity with Azure and GCP data ecosystems, Grasp of ML lifecycle management, Grasp of MLOps, Grasp of production AI systems, Ability to connect technical decisions to business value, Clear point of view on Data and AI application", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Working at CreateFuture CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people first. We’re a team of creators. We write code, shape delivery, build go-to-market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what’s not working and helping them to build the future. Our commitment to craft, quality, and culture has helped us scale to over 600 people in just a few years. Our UK Benefits 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. Financial coaching + 5% pension match. 40 hours of paid learning and development. View our full list of UK benefits. CreateFuture is a Great Place to Work-Certified™ company and has won Best Workplaces UK multiple years in a row. Join us on our journey. Let’s create tomorrow, together, today. About the role and team: As Head of Data at CreateFuture, you are accountable for the direction, evolution, and performance of our Data capability, reporting directly to the Director of Cloud ensure they remain close to delivery, clients, and technical decision-making. Define what ‘great’ looks like for Data roles at CreateFuture, with clear expectations around technical depth, client impact, and commercial awareness. Foster a positive, supportive environment where talented people can do their best work, combining high trust, candour, and accountability with minimal unnecessary process and management close to the work. Create a team culture where individuals feel respected, motivated, and proud of the work they deliver for clients, while maintaining high standards of performance and collaboration. Make clear, pragmatic decisions on hiring, progression, performance management, and targeted learning investment. Commercial Ownership & Performance Take clear ownership of the Data capability’s contribution to: Revenue growth Gross margin protection and improvement Win rates and deal quality Support deal shaping through pricing models, delivery approaches, and team composition that balance quality with commercial outcomes. Identify and pursue opportunities to expand Data & AI work within existing client accounts. Track and report on a small set of meaningful capability KPIs focused on outcomes rather than activity. What you bring: Experience & Impact Proven experience operating as a senior Capability Lead, Head of Data, or equivalent within a consultancy or complex delivery organisation. Demonstrable success building and scaling multi‑disciplinary Data capabilities, not solely Data Engineering teams. A track record of shaping and delivering Data & AI‑led solutions with clear commercial and client impact. Experience engaging confidently with senior client stakeholders, including technology, data, and business leaders. Technical & Strategic Depth Deep, hands-on understanding of modern cloud-native data platforms and analytics ecosystems. Significant experience designing and delivering AWS-centric data platforms, including lakehouse and streaming architectures using services such as S3, Glue, Redshift, EMR, and Kinesis. Practical experience with modern data platforms such as Databricks, Microsoft Fabric, and Snowflake. Familiarity with Azure and GCP data ecosystems to support multi-cloud client environments and enterprise-scale architectures. Strong grasp of ML lifecycle management, MLOps, and production AI systems. Ability to connect technical decisions to business value, risk, regulation, and operational constraints. A clear, well-formed point of view on how Data and AI should be applied pragmatically to deliver outcomes, rather than hype. Leadership Style Leads with credibility, clarity, and low ego. Comfortable operating with high accountability and making difficult trade‑offs. Stays close to delivery, clients, and teams. Builds trust through technical authority, consistency, and follow‑through. What we’ll offer you: We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You’ll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look. Our hiring process We try to keep our hiring process clear, fair and respectful of your time. We aim to get back to everyone who applies and we will be upfront about where you are in the process. It usually looks like this: Call with our Talent Acquisition Team Role specific capability interview Depending on the role, we might also ask you to do a short presentation, a practical or technical task or have a values focused conversation. We will explain what is involved before anything happens. Inclusion at CreateFuture We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work. If you need any adjustments or support during the application process, just. We will do what we can to help. We look forward to your application!", "summaryDescription" : "Head of Data at CreateFuture. Skills: Data capability leadership, Cloud data platforms, MLOps. Define 'great' for Data roles. Foster a positive environment", "postedDate" : "2026-06-14T21:28:42.442", "createdAt" : "2026-06-14T21:28:42.442", "lastUpdated" : "2026-06-16T01:13:45.593", "ingestTimestamp" : "2026-06-14T21:28:42.442", "mongoId" : "6a2c79f174d8ee00a0943d30", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data platforms", "Analytics ecosystems", "ML lifecycle management", "MLOps", "Production AI systems", "Cloud-native data platforms", "AWS data platforms", "Lakehouse architectures", "Streaming architectures", "Data ecosystems", "AI solutions", "Credibility", "Clarity", "Candour", "Trust", "Low ego", "Data capability leadership", "Cloud data platforms", "Client engagement", "Deal shaping", "Pricing models", "Delivery approaches", "Commercial outcomes", "Revenue growth", "Gross margin", "Win rates", "Deal quality", "Team composition", "Hiring", "Progression management", "Performance management", "Learning investment", "Technical decision-making", "Commercial awareness", "Technical depth", "Client impact", "Pragmatic decisions", "Roadmap planning", "AI-native consulting", "Cloud-native architecture", "Enterprise-scale architectures", "Data & AI application", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "AWS", "Databricks", "Snowflake", "Microsoft Fabric", "S3", "Glue", "Redshift", "EMR", "Kinesis", "Azure", "GCP", "Vertex AI", "Synapse", "ML Studio" ], "skillCount" : 60, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde4492beec4dd3d9a332a", "title" : "Group Lead for the Construction and Field Support Section - Bridge Division", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 103000.0, "max" : 139550.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Austin-Stassney Hq - Main", "locations" : [ "UST-Texas-Austin-Stassney Hq - Main", "Yearly", "Exempt,
Stassney Hq - Main (SHQMAIN)
6230 East Stassney Lane
Austin, 78744

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The Construction and Maintenance Branch provides bridge construction guidance, performs structural analyses and designs solutions for bridge repair/rehabilitation, and trains districts to perform bridge repairs with in-house personnel. This employee will lead a group of engineers and construction inspectors in providing construction and field related support for bridge projects across the state. This employee will be based in Austin, TX but is expected to travel statewide as job duties require. Texas’ inventory of over 57,000 bridges is 28,000 more than any other state, and more than the combined inventories of 17 states. For more information on the Texas Bridge Program, go to https://www.txdot.gov/government/reports/texas-bridges.html. If you are looking for a career as part of a diverse workforce of over 13,000 employees statewide and you have the technical and leadership skills to help lead the largest bridge program in the country, let’s talk! The work location is 6230 E Stassney Lane, Austin, TX 78744 Transportation Engineer III: B26: $103,000 – $126,000 yearly Transportation Engineer IV: B27: $107,000 - $133,000 yearly Transportation Engineer V: B28: $109,650 - $139,550 yearly 103,000.00 139,550.00", "summaryDescription" : "Group Lead for the Construction and Field Support Section - Bridge Division at TxDOT. Skills: Bridge construction, Field support, Engineering leadership. Lead engineers and inspectors. 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We", "summaryDescription" : "Head of the Office of Assurance at Avidyne", "createdAt" : "2026-06-14T07:01:49.777", "lastUpdated" : "2026-06-15T06:43:51.703", "ingestTimestamp" : "2026-06-14T07:01:49.777", "mongoId" : "6a2cbee974d8ee00a0a00079", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 225000, "salaryAnnualMax" : 325000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.92 }, { "id" : "6a30618cf292fd229cf96f17", "title" : "Student Job (m/f/d) for the Weekends", "company" : "Redcare Pharmacy", "industry" : "Pharmaceuticals", "salary" : { "min" : 20800.0, "max" : 26000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level full-time positions in the Netherlands, adjusted for the healthcare industry and Sevenum's location." }, "location" : "Sevenum, LI, Netherlands", "locations" : [ "Sevenum", "LI", "Netherlands" ], "timestamp" : "2026-06-16T13:28:30.977", "fingerprint" : "fcf12185f6316168351f977287e2aa97b870e24e040cbeccafa92a4e18287e13", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Redcare-Pharmacy/744000132139068-student-job-m-f-d-for-the-weekends-machine-supply", "externalId" : "744000132139068", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sevenum", "state" : "Limburg", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.4123504,6.0370021" } ], "locationText" : "Sevenum, Limburg, Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "majorSkills" : "Machine supply, Logistics equipment", "majorSkillsList" : [ "Machine supply", "Logistics equipment" ], "coreResponsibilities" : "Support automated logistics machines, Refill consumable materials, Replace consumable materials, Escalate technical issues, Follow safety regulations, Follow quality regulations, Follow work regulations, Support shift handovers, Communicate machine status, Communicate issues, Communicate actions taken, Contribute to orderly work areas, Contribute to clean work areas, Contribute to safe work areas", "teamCollaboration" : "Shift handovers", "domainKnowledge" : "Healthcare logistics", "domainList" : [ "healthcare-logistics" ], "domainSpecificKnowledge" : [ "Healthcare logistics" ], "communicationSkills" : "Speak German; Speak English", "problemSolvingSkills" : "First-level troubleshooting", "specialRequirements" : "Commute independently to Sevenum, No public transport connection", "outcomesObjectives" : "Ensure stable daily operations; Prevent downtime; Ensure compliant operations; High system availability; Smooth warehouse operations; Minimal operational disruptions", "qualificationsBasic" : "Basic technical understanding of machinery, Ability to follow SOPs, Basic communication skills, Reliable, safety-conscious working style, Studying in the Netherlands, EU citizen or Dutch work permit, Understand and speak German or English, Driver’s license and car, Able to perform a standing job for up to 8 hours", "qualificationsPreferred" : "Weekend availability", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Redcare: As Europe’s No.1 e-pharmacy, Redcare Pharmacy is powered by passionate teams and cutting-edge innovation. We strive to create a healthy, collaborative work environment where every employee feels valued and inspired to contribute to our vision “Until every human has their health”. If you’re seeking a career that offers purpose and aligns with your values, join us and begin your #Redcareer today. About the role: Join our team as a Machine Supply Worker (m/f/d) on weekends, for at least 3 shifts in a month, in the early shift from 06:00 - 14:00 or late shift from 14:00 - 22:00 and shape the future of healthcare logistics! About your tasks: The Machine Supply Worker supports the stable and continuous operation of automated logistics equipment by executing defined technical support activities in a shift-based environment. The role ensures machines such as carton erectors, label applicators, and carton sealing systems are supplied with required consumables and remain operational through first-level troubleshooting. Working strictly according to standard operating procedures, the role contributes to high system availability and smooth warehouse operations. Success is defined by reliable execution, adherence to safety and quality standards, and minimal operational disruptions. * Operate and support automated logistics machines according to defined SOPs to ensure stable daily operations * Refill and replace consumable materials for carton erectors, label applicators, and carton sealing machines to prevent downtime * Escalate technical issues beyond own scope promptly to the Team Lead or Technical Engineering team * Follow all safety, quality, and work regulations to always ensure compliant operations * Support shift handovers by communicating machine status, issues, and actions taken * Contribute to orderly, clean, and safe work areas in line with operational standards ## Qualifications About you: * Basic technical understanding of automated or semi-automated machinery * Ability to follow SOPs and work instructions accurately and consistently * Basic communication skills and a reliable, safety-conscious working style * You are studying in the Netherlands and have time on saturdays and/or sundays * You are an EU citizen or hold a Dutch work permit * You can understand and speak German or English without difficulty * You have a driver’s license and a car or motorcycle, etc., to commute independently to the workplace in Sevenum (Note: There is no public transport connection) * You are able to perform a standing job for up to 8 hours ## Additional Information About our benefits: In order to provide you with the best possible support for your individual needs – whether it’s living a healthy life, having enough time for your needs, or developing your skills – we offer a wide range of different, site-specific benefits: * Mobility : Not all employees live close to our office. That’s why we support our employees with your daily commute with a travel allowance. This compensation is paid to you with 23 cents per kilometer in addition to your net salary. * Redcare events : We promote team-building through creative team events, and celebrate our successes together at regularly scheduled parties. * Sunday Bonus: 50% * Employee discount : Several times a year, we offer you discounted employee sales directly at the Sevenum location as well as 10 % off on our assortment for all employees. * Employee referral program : Because our employees know best who fits in with us, successful recommendations are rewarded with a bonus.", "summaryDescription" : "Student Job (m/f/d) for the Weekends at Redcare Pharmacy. Skills: Machine supply, Logistics equipment. Support automated logistics machines. Refill consumable materials", "postedDate" : "2026-06-15T08:16:42.000", "createdAt" : "2026-06-16T00:21:55.308", "lastUpdated" : "2026-06-16T13:28:30.977", "ingestTimestamp" : "2026-06-16T00:21:55.308", "mongoId" : "6a30618cf292fd229cf96f17", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Machine supply", "Logistics equipment", "Healthcare logistics" ], "skillCount" : 3, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306857f292fd229cfc38f4", "title" : "Student Job (m/f/d) for the Weekends", "company" : "Redcare Pharmacy", "industry" : "Pharmaceuticals", "salary" : { "min" : 20800.0, "max" : 26000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level, full-time positions in the Netherlands, adjusted for the healthcare industry and a small company size." }, "location" : "Sevenum, LI, Netherlands", "locations" : [ "Sevenum", "LI", "Netherlands" ], "timestamp" : "2026-06-16T09:35:59.823", "fingerprint" : "77931de04c510c2a82b53b194aea89e945ea1387bfd51e3361cb48c21de2b474", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Redcare-Pharmacy/744000132139068-student-job-m-f-d-for-the-weekends-machine-supply", "externalId" : "744000132139068", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sevenum", "state" : "Limburg", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.4123504,6.0370021" } ], "locationText" : "Sevenum, Limburg, Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "hardSkillsList" : [ "First-level troubleshooting" ], "hardSkills" : [ { "name" : "First-level troubleshooting", "level" : "intermediate" } ], "majorSkills" : "Machine supply, Logistics equipment", "majorSkillsList" : [ "Machine supply", "Logistics equipment" ], "coreResponsibilities" : "Support automated logistics machines, Refill consumable materials, Replace consumable materials, Escalate technical issues, Follow safety regulations, Follow quality regulations, Follow work regulations, Support shift handovers, Communicate machine status, Communicate issues, Communicate actions taken, Contribute to orderly work areas, Contribute to clean work areas, Contribute to safe work areas", "teamCollaboration" : "Escalate to Team Lead; Escalate to Technical Engineering", "domainKnowledge" : "Healthcare logistics", "domainList" : [ "healthcare-logistics" ], "domainSpecificKnowledge" : [ "Healthcare logistics" ], "communicationSkills" : "Communicate machine status", "problemSolvingSkills" : "First-level troubleshooting", "specialRequirements" : "Standing job up to 8 hours, Commute independently to workplace", "outcomesObjectives" : "Ensure stable daily operations; Prevent downtime; Ensure compliant operations; High system availability; Smooth warehouse operations", "qualificationsBasic" : "Basic technical understanding of machinery, Ability to follow SOPs, Basic communication skills, Reliable, safety-conscious working style, Studying in the Netherlands, EU citizen or Dutch work permit, Understand and speak German or English, Driver’s license and car, Able to perform a standing job for up to 8 hours", "qualificationsPreferred" : "Weekend availability", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Redcare: As Europe’s No.1 e-pharmacy, Redcare Pharmacy is powered by passionate teams and cutting-edge innovation. We strive to create a healthy, collaborative work environment where every employee feels valued and inspired to contribute to our vision “Until every human has their health”. If you’re seeking a career that offers purpose and aligns with your values, join us and begin your #Redcareer today. About the role: Join our team as a Machine Supply Worker (m/f/d) on weekends, for at least 3 shifts in a month, in the early shift from 06:00 - 14:00 or late shift from 14:00 - 22:00 and shape the future of healthcare logistics! About your tasks: The Machine Supply Worker supports the stable and continuous operation of automated logistics equipment by executing defined technical support activities in a shift-based environment. The role ensures machines such as carton erectors, label applicators, and carton sealing systems are supplied with required consumables and remain operational through first-level troubleshooting. Working strictly according to standard operating procedures, the role contributes to high system availability and smooth warehouse operations. Success is defined by reliable execution, adherence to safety and quality standards, and minimal operational disruptions. * Operate and support automated logistics machines according to defined SOPs to ensure stable daily operations * Refill and replace consumable materials for carton erectors, label applicators, and carton sealing machines to prevent downtime * Escalate technical issues beyond own scope promptly to the Team Lead or Technical Engineering team * Follow all safety, quality, and work regulations to always ensure compliant operations * Support shift handovers by communicating machine status, issues, and actions taken * Contribute to orderly, clean, and safe work areas in line with operational standards ## Qualifications About you: * Basic technical understanding of automated or semi-automated machinery * Ability to follow SOPs and work instructions accurately and consistently * Basic communication skills and a reliable, safety-conscious working style * You are studying in the Netherlands and have time on saturdays and/or sundays * You are an EU citizen or hold a Dutch work permit * You can understand and speak German or English without difficulty * You have a driver’s license and a car or motorcycle, etc., to commute independently to the workplace in Sevenum (Note: There is no public transport connection) * You are able to perform a standing job for up to 8 hours ## Additional Information About our benefits: In order to provide you with the best possible support for your individual needs – whether it’s living a healthy life, having enough time for your needs, or developing your skills – we offer a wide range of different, site-specific benefits: * Mobility : Not all employees live close to our office. That’s why we support our employees with your daily commute with a travel allowance. This compensation is paid to you with 23 cents per kilometer in addition to your net salary. * Redcare events : We promote team-building through creative team events, and celebrate our successes together at regularly scheduled parties. * Sunday Bonus: 50% * Employee discount : Several times a year, we offer you discounted employee sales directly at the Sevenum location as well as 10 % off on our assortment for all employees. * Employee referral program : Because our employees know best who fits in with us, successful recommendations are rewarded with a bonus.", "summaryDescription" : "Student Job (m/f/d) for the Weekends at Redcare Pharmacy. Skills: Machine supply, Logistics equipment. Support automated logistics machines. Refill consumable materials", "postedDate" : "2026-06-15T08:16:42.000", "createdAt" : "2026-06-15T23:52:29.022", "lastUpdated" : "2026-06-16T09:35:59.823", "ingestTimestamp" : "2026-06-15T23:52:29.022", "mongoId" : "6a306857f292fd229cfc38f4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "First-level troubleshooting", "Machine supply", "Logistics equipment", "Healthcare logistics" ], "skillCount" : 4, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a25145374d8ee00a00bb2f0", "title" : "Quantum Applied Scientist, Simulation Methods and Tools, AWS Center for Quantum Computing", "company" : "Amazon Development Centre Canada ULC", "industry" : "Research Science, Applied Science, Cloud Computing", "salary" : { "min" : 149000.0, "max" : 249000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Toronto, Ontario, CAN", "locations" : [ "Toronto, Ontario, CAN" ], "timestamp" : "2026-06-15T04:32:41.017", "fingerprint" : "a2eb780d5dc17da153c43a0ba4f09b77c532041ecc62893ea8a745230faa23cf", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10441198/apply", "externalId" : "66e04b6b-b597-42f2-9c37-281f818debe8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Java, C++, Julia, Rust, Machine learning, Quantum computing, Circuit QED, Quantum many-body, JAX, PyTorch, Linear algebra", "professionalSkills" : [ "Numerical methods", "Scientific software", "Quantum processor design", "Quantum processor characterization" ], "hardSkillsList" : [ "Algorithm implementation", "Software development", "Numerical simulation", "Automatic differentiation", "GPU acceleration" ], "softSkillsList" : [ "Scientific rigor", "Curiosity", "Connection" ], "hardSkills" : [ { "name" : "Algorithm implementation", "level" : "intermediate" }, { "name" : "Software development", "level" : "intermediate" }, { "name" : "Numerical simulation", "level" : "intermediate" }, { "name" : "Automatic differentiation", "level" : "intermediate" }, { "name" : "GPU acceleration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Scientific rigor" }, { "name" : "Curiosity" }, { "name" : "Connection" } ], "majorSkills" : "Quantum simulation, Numerical methods, Software development, Quantum computing", "majorSkillsList" : [ "Quantum simulation", "Numerical methods", "Software development", "Quantum computing" ], "coreResponsibilities" : "Develop numerical methods, Develop software tools, Address simulation problems, Simulate quantum devices, Compute static properties, Compute dynamical properties, Support device development, Collaborate with scientists, Research simulation solutions, Investigate simulation solutions, Communicate findings, Deliver recommendations, Provide best practice examples, Tackle unsolved problems, Apply engineering principles, Maintain scientific rigor, Explain work to engineers, Explain work to scientists, Identify modeling problems, Identify simulation problems, Develop algorithms, Improve workflows, Write up findings, Discuss findings, Develop implementations, Test implementations, Demonstrate implementations, Stay on top of developments, Attend seminars, Attend discussions", "teamCollaboration" : "Multi-disciplinary team; Adjacent teams; Scientists and engineers", "domainKnowledge" : "Quantum computing; Quantum processor design; Quantum processor characterization; Circuit-QED level; Quantum many-body systems; Superconducting circuits; Quantum real-time dynamics; Tensor networks; Variational quantum states", "domainList" : [ "quantum-computing", "quantum-processor-design", "quantum-processor-characterization", "circuit-qed-level", "quantum-many-body-systems", "superconducting-circuits", "quantum-real-time-dynamics", "tensor-networks", "variational-quantum-states" ], "domainSpecificKnowledge" : [ "Quantum computing", "Quantum processor design", "Quantum processor characterization", "Circuit-QED level", "Quantum many-body systems", "Superconducting circuits", "Quantum real-time dynamics", "Tensor networks", "Variational quantum states" ], "toolProficiency" : [ "QuTiP", "QuantumOptics.jl", "scQubits", "SQcircuit", "JAX", "PyTorch" ], "communicationSkills" : "Written communication; Verbal communication", "continuousLearning" : "Mentorship; Career growth", "innovationCreativity" : "Enduring impact", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Export control requirement", "qualificationsBasic" : "PhD or Master's degree, 5+ years related experience, Experience in patents or publications, Experience with Python, Java, C++, Experience implementing algorithms, Experience modeling quantum devices, Experience simulating quantum systems, Experience applying ML to science", "qualificationsPreferred" : "Experience in professional software development, Experience applying theoretical models, Fluency in Python, Julia, C++, or Rust, Experience with QuTiP, Experience with QuantumOptics.jl, Experience with scQubits, Experience with SQcircuit, Experience with JAX, Experience with PyTorch, Experience with GPU acceleration, Experience with quantization of circuits, Experience simulating quantum dynamics, Experience with disorder and localization, Experience with variational quantum states, Experience with Hamiltonian inference, Experience with characterization and calibration, Experience with surrogate modeling", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Web Services (AWS) Center for Quantum Computing (CQC) in Pasadena, CA, is looking to hire an Applied Scientist focused on development of methods and tools for simulating quantum processor devices. In this role, you will develop and apply numerical methods and software tools that address simulation problems in quantum processor design and characterization. You will be joining a multi-disciplinary team of scientists, engineers, and technicians, all working at the forefront of quantum computing and will have an opportunity to make an enduring impact on the development of fault-tolerant quantum computers. The ideal candidate should have a track record of significant technical contributions to scientific software packages and have deep expertise in developing and applying numerical methods to simulate quantum many-body systems in the context of quantum processor development. Key job responsibilities Simulations are a critical tool at the CQC. As an applied scientist in this role, you will help develop high quality software tools and numerical methods for simulating our devices at the circuit-QED level, allowing us to accurately and efficiently compute static and dynamical properties of our devices, such as frequencies, coupling strengths, and gate error budgets. The tools you build will directly support device development work done by CQC scientists, such as device theorists, designers, and experimentalists, on adjacent teams. You will also collaborate with these scientists to research and investigate simulation-based solutions to problems in quantum processor design and characterization, communicating your findings and delivering recommendations and examples of best practice. You should thrive in ambiguous environments that require you to tackle problems that have not been solved before. You are able to apply strong engineering principles while maintaining scientific rigor. Your excellent written and verbal communication skills enable you to explain your work to software engineers, or scientists with different backgrounds to your own. A day in the life - Collaborate with designers, device theorists, and measurement scientists to identify high-impact modeling and simulation problems in quantum processor design and characterization - Research and develop methods and algorithms that could enable or improve our workflows - Write up your findings and discuss them with scientists and software developers - Develop and test high-quality implementations, demonstrating them for target applications - Stay on top of the latest developments in software and algorithms - Attend regular seminars and discussions with Caltech scientists About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be either a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be able to obtain a U.S export license. If you are unsure if you meet these requirements, please apply and Amazon will review your application for eligibility. Basic Qualifications: - PhD, or Master's degree and 5+ years of science, technology, engineering or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience with programming languages such as Python, Java, C++ - Experience implementing algorithms using both toolkits and self-developed code - Experience with any of the following: modeling quantum devices using circuit Quantum Electrodynamics, numerical simulation of quantum many-body systems, application of machine-learning methods and tools to science or engineering problems Preferred Qualifications: - Experience in professional software development - Experience applying theoretical models in an applied environment - Fluency in Python, Julia, C++, or Rust - Experience with QuTiP, QuantumOptics.jl, scQubits, SQcircuit, or related software packages - Experience with using JAX, PyTorch, or other python-based solutions for automatic differentiation or GPU acceleration of self-developed linear algebra code - Experience in any of the following areas: quantization of superconducting circuits, simulation of quantum real-time dynamics under fast driving, disorder and localization in quantum many-body systems, variational quantum states such as tensor networks, Hamiltonian inference, characterization and calibration of quantum processors, surrogate modeling (e.g. using gaussian processes, neural networks) of quantum devices Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, ON, Toronto - 149,300.00 - 249,300.00 CAD annually", "summaryDescription" : "Quantum Applied Scientist, Simulation Methods and Tools, AWS Center for Quantum Computing at Amazon Development Centre Canada ULC. Skills: Quantum simulation, Numerical methods, Software development, Quantum computing. Develop numerical methods. 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Skills: Regulatory drafting, Legal analysis. Draft National Regulations for BMS Act", "createdAt" : "2026-06-14T20:49:54.230", "lastUpdated" : "2026-06-16T06:13:21.126", "ingestTimestamp" : "2026-06-14T20:49:54.230", "mongoId" : "6a18ce4158b93c861e2c7bde", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Drafting regulations", "Regulatory drafting", "Legal analysis", "Breastmilk Substitutes Act 2021" ], "skillCount" : 4, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.92 }, { "id" : "6a305054f292fd229ceef014", "title" : "Engineer in Charge of the Proton Synchrotron", "company" : "CERN", "industry" : "Industrial Automation", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Engineer in Geneva, Switzerland, adjusted for the technology industry and a large, global research organization." }, "location" : "Geneva, GENEVA, CH", "locations" : [ "Geneva", "GENEVA", "CH" ], "timestamp" : "2026-06-16T06:04:23.404", "fingerprint" : "c0af52baf09124837493dd60686aa01931b7a64a6d878ddc09a27edc2b91e08f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/CERN/744000132212849-engineer-in-charge-of-the-proton-synchrotron-be-op-ps-2026-128-ld-", "externalId" : "744000132212849", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Geneva", "state" : "Geneva", "country" : "Switzerland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "46.2017559,6.1466014" } ], "locationText" : "Geneva, Geneva, Switzerland", "employmentType" : "CONTRACT", "experienceLevel" : "not-applicable", "technicalSkills" : "Python, Java", "professionalSkills" : [ "Performance analysis", "Performance optimisation", "Automation development", "Data analysis", "Technical problem solving" ], "hardSkillsList" : [ "Accelerator systems", "Beam dynamics", "Data analysis workflows" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Accelerator systems", "level" : "intermediate" }, { "name" : "Beam dynamics", "level" : "intermediate" }, { "name" : "Data analysis workflows", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Accelerator operation, Performance optimisation, Software development, Automation", "majorSkillsList" : [ "Accelerator operation", "Performance optimisation", "Software development", "Automation" ], "coreResponsibilities" : "Operate PS accelerator, Analyse operational issues, Assess impact on beam performance, Implement effective solutions, Drive automation developments, Identify operational processes, Translate processes into tools, Drive performance optimisation, Analyse operational data, Collaborate with operations crews, Collaborate with machine experts, Collaborate with physics users, Prepare operational settings, Validate operational settings, Improve operational settings, Prepare operational procedures, Validate operational procedures, Improve operational procedures, Prepare operational diagnostics, Validate operational diagnostics, Improve operational diagnostics, Share operational experience, Develop common approaches, Transfer best practices, Develop software tools, Maintain software tools, Improve software tools, Develop control applications, Maintain control applications, Improve control applications, Develop data analysis workflows, Maintain data analysis workflows, Improve data analysis workflows, Propose machine studies, Conduct machine studies, Support machine studies, Share operational status, Share performance analyses, Share improvement activities, Provide operational input, Identify consolidation activities, Provide input for upgrades, Provide input for future studies", "teamCollaboration" : "Cross-accelerator activities; Operations teams; Equipment experts; Controls specialists; Operations crews; Machine experts; Physics users; Accelerator teams", "projectManagementSkills" : [ "Machine development studies" ], "domainKnowledge" : "Proton Synchrotron operation; Accelerator systems; Beam dynamics; Beam performance; Control applications; Data driven methods", "domainList" : [ "proton-synchrotron-operation", "accelerator-systems", "beam-dynamics", "beam-performance", "control-applications", "data-driven-methods" ], "domainSpecificKnowledge" : [ "Proton Synchrotron operation", "Accelerator systems", "Beam dynamics", "Beam performance", "Control applications", "Data driven methods" ], "toolProficiency" : [ "Python" ], "communicationSkills" : "Clear updates; Presentations; Reports", "documentationSkills" : "Technical documentation", "innovationCreativity" : "Automation-oriented developments", "problemSolvingSkills" : "Technical problem solving; Root cause analysis; Pragmatic solutions", "specialRequirements" : "Work in Radiation Areas, Interventions underground, Valid driving licence", "outcomesObjectives" : "Safe operation; Efficient operation; Performance-driven operation; Robust operation; Reproducible operation", "qualificationsBasic" : "Master's Degree or PhD, Accelerator operation experience, Performance analysis experience, Software development with Python, Data analysis experience, Diagnostics experience, Performance monitoring experience, Operational decision support experience, Problem solving skills, Ability to work autonomously, Ability to take initiative, Ability to collaborate effectively, Ability to communicate technical results", "qualificationsPreferred" : "Knowledge of optimisation methods, Knowledge of feedback control, Knowledge of control algorithms, Experience with operation, Experience with commissioning, Experience with performance optimisation, Experience with troubleshooting complex facilities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At [CERN](http://home.cern), the European Organization for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe. Using the world's largest and most complex scientific instruments, they study the basic constituents of matter - fundamental particles that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact, and provides insights into the fundamental laws of nature. Introduction: As Engineer in Charge of the CERN Proton Synchrotron ([PS](https://home.cern/science/accelerators/proton-synchrotron/)), you will contribute to the safe, efficient and performance-driven operation of the accelerator, combining operational follow up, technical problem solving, performance analysis and software development. You will play an active role in improving PS operation through data driven analysis, high level control applications and automation-oriented developments, with the aim of making operation more robust, reproducible and efficient. Functions: * Take an active role in the safe, efficient and performance-driven operation of the PS and its associated beam lines during commissioning, regular operation, and machine development studies. * Analyse PS operational issues, assess their impact on beam performance and availability, and collaborate with equipment experts, controls specialists and operations teams to define and implement effective solutions. * Drive automation-oriented developments for PS operation by identifying operational processes that can be made more robust, reproducible and efficient, and translating them into tools, procedures and applications that increase the autonomy of the accelerator. * Drive the performance optimisation of the PS beams for the LHC and the fixed target facilities, combining accelerator studies, operational data analysis and close collaboration with operations crews, machine experts and physics users. * Prepare, validate and improve operational settings, procedures and diagnostics required for reliable and reproducible PS operation. * Engage in cross-accelerator activities to share operational experience, promote synergies and develop common approaches for performance optimisation, software tools and automation, ensuring that best practices are transferred across CERN’s accelerator complex. * Develop, maintain and improve software tools, high level control applications and data analysis workflows supporting performance optimisation and operational decision making. * Propose, conduct and support machine development studies aimed at improving beam performance, operational efficiency and the understanding of PS limitations. * Share the operational status, performance analyses and improvement activities through clear updates, presentations and reports. * Identify and provide operational input for consolidation and upgrade activities, and future studies. ## Qualifications * Master's Degree or PhD or equivalent relevant experience in the field of Physics, Engineering or a related field. Experience: * Experience with accelerator operation or strong interest in developing a solid understanding of PS operation, accelerator systems and beam dynamics. * Experience in performance analysis, optimisation and the development or improvement of operational tools, with the motivation to become a key technical reference for PS operation. * Ability to understand and improve complex technical systems involving hardware, controls, software, operational constraints and beam performance aspects. * Proficiency in software development with Python, combined with experience in data analysis, diagnostics, performance monitoring or operational decision support. * Strong problem solving skills, with the ability to investigate technical issues, identify root causes and define pragmatic solutions in a complex operational environment. * Motivation and ability to drive automation, high level control applications and data driven methods to make accelerator operation more robust, reproducible and efficient. * Ability to work autonomously, take initiative and collaborate effectively with operations crews, equipment experts, controls specialists and other accelerator teams. * Ability to communicate technical results clearly through status updates, reports and presentations. * Knowledge of optimisation methods, feedback control or control algorithms would be an asset, in particular for applications to beam performance, automation or operational decision support. * Experience with operation, commissioning, performance optimisation or troubleshooting of complex scientific, technical or industrial facilities would be an advantage. * Knowledge of Java, accelerator controls, high level control applications or operational software would be an asset. Technical competencies: * Analysis and optimisation of accelerator performance. * Knowledge and application of software life-cycle tools and procedures. * Knowledge of programming techniques and languages. * Operation of accelerators. Behavioural competencies: * Solving Problems: producing workable and timely solutions that meet requirements. * Demonstrating Accountability: taking responsibility for own actions and decisions. * Demonstrating Flexibility: readily absorbing new techniques and working practices; proposing new or improved ways of working. * Communicating Effectively: expressing opinions, ideas and suggestions with conviction and in a logical/structured manner; keeping to the point. * Working in Teams: building and maintaining constructive and effective work relationships. Language skills: * Spoken and written English or French, with a commitment to learn the other language. ## Additional Information Eligibility and closing date: [Diversity](https://diversity.web.cern.ch/) has been an integral part of CERN's mission since its foundation and is an established value of the Organization. Employing a diverse workforce is central to our success. We welcome applications from all [Member States and Associate Member States](https://home.cern/about/member-states). This vacancy will be filled as soon as possible, and applications should normally reach us no later than 13.07.2026 at 23:59 CEST. Employment Conditions: Contract type: Limited duration contract (5 years). Subject to certain conditions, holders of limited-duration contracts may apply for an indefinite position. Working Hours: 40 hours per week Job Flexibility: Hybrid This position involves: * Participation in a regular stand-by duty, including nights, Sundays and official holidays. * Work in Radiation Areas. * Interventions in underground installations. * A valid driving licence. Job grade: 6-7 Job reference: BE-OP-PS-2026-128-LD Field of work: Applied Physics Benchmark Job Title: Applied Physicist Global Benefits * A [competitive salary](https://careers.cern/pay-benefits-and-support/) (tax free), increasing in line with your years of relevant experience. * 30 days of paid leave per year plus 2 weeks annual closure. * Coverage by CERN’s comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund. * Family, child and infant monthly allowances depending on your individual circumstances. * A relocation package (installation grant, removal, travel expenses) depending on your individual circumstances. * Possibility to extend your contract up to 8 years + eligibility for indefinite contract tenure. Overview of CERN - Discover a world where the impossible is made possible! At CERN, the European Organization for Nuclear Research, we are pushing the frontiers of science and technology. Our groundbreaking work brings together not only physicists but also a diverse range of professionals from engineering, technical, scientific, and administrative fields. Together, we foster an environment where innovation and collaboration thrive. Every day, we face exciting new challenges and opportunities to contribute to cutting-edge research that shapes our understanding of the universe. We meet these challenges through the diverse perspectives within our teams, ensuring every contribution is valued and driving our shared sense of inclusion and purpose. Diversity is a core value of CERN since its foundation, and it remains central to our mission and continued success. If you are ready to be part of a dynamic, inclusive community pushing the boundaries of knowledge, CERN is the place where your curiosity and skills can thrive. Be part of our mission to uncover what lies at the heart of the universe! TAKE PART! More information about us, here:[careers.cern](https://careers.cern/)", "summaryDescription" : "Engineer in Charge of the Proton Synchrotron at CERN. Skills: Accelerator operation, Performance optimisation, Software development, Automation. Operate PS accelerator. 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}, { "name" : "Performance monitoring", "level" : "intermediate" }, { "name" : "Operational decision support", "level" : "intermediate" }, { "name" : "Machine development studies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Accelerator operation, Performance optimisation, Software development, Automation", "majorSkillsList" : [ "Accelerator operation", "Performance optimisation", "Software development", "Automation" ], "coreResponsibilities" : "Operate PS safely and efficiently, Analyse operational issues, Assess impact on beam performance, Implement effective solutions, Drive automation developments, Identify operational processes for improvement, Translate processes into tools, Increase accelerator autonomy, Drive performance optimisation, Conduct accelerator studies, Analyse operational data, Collaborate with operations crews, Collaborate with machine experts, Collaborate with physics users, Prepare operational settings, Validate 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for upgrade activities, Provide input for future studies", "teamCollaboration" : "Equipment experts; Controls specialists; Operations teams; Operations crews; Machine experts; Physics users; Accelerator teams", "projectManagementSkills" : [ "Machine development studies" ], "domainKnowledge" : "Accelerator operation; Beam dynamics; Particle physics; Fundamental particles; Fundamental laws; High level control; Automation", "domainList" : [ "accelerator-operation", "beam-dynamics", "particle-physics", "fundamental-particles", "fundamental-laws", "high-level-control", "automation" ], "domainSpecificKnowledge" : [ "Accelerator operation", "Beam dynamics", "Particle physics", "Fundamental particles", "Fundamental laws", "High level control", "Automation" ], "toolProficiency" : [ "Python" ], "communicationSkills" : "Clear updates; Presentations; Reports", "documentationSkills" : "Technical documentation", "innovationCreativity" : "Automation-oriented developments", "problemSolvingSkills" : "Technical problem solving; Root cause analysis; Pragmatic solutions", "specialRequirements" : "Work in Radiation Areas, Interventions underground, Valid driving licence", "outcomesObjectives" : "Safe operation; Efficient operation; Performance-driven operation; Robust operation; Reproducible operation; Efficient operation; Improve beam performance; Improve operational efficiency", "qualificationsBasic" : "Master's Degree or PhD, Accelerator operation experience, Performance analysis experience, Software development with Python, Data analysis experience, Diagnostics experience, Performance monitoring experience, Operational decision support experience, Problem solving skills, Ability to work autonomously, Ability to take initiative, Ability to collaborate effectively, Ability to communicate technical results", "qualificationsPreferred" : "Knowledge of optimisation methods, Knowledge of feedback control, Knowledge of control algorithms, Experience with operation, Experience with commissioning, Experience with performance optimisation, Experience with troubleshooting complex facilities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At [CERN](http://home.cern), the European Organization for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe. Using the world's largest and most complex scientific instruments, they study the basic constituents of matter - fundamental particles that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact, and provides insights into the fundamental laws of nature. Introduction: As Engineer in Charge of the CERN Proton Synchrotron ([PS](https://home.cern/science/accelerators/proton-synchrotron/)), you will contribute to the safe, efficient and performance-driven operation of the accelerator, combining operational follow up, technical problem solving, performance analysis and software development. You will play an active role in improving PS operation through data driven analysis, high level control applications and automation-oriented developments, with the aim of making operation more robust, reproducible and efficient. Functions: * Take an active role in the safe, efficient and performance-driven operation of the PS and its associated beam lines during commissioning, regular operation, and machine development studies. * Analyse PS operational issues, assess their impact on beam performance and availability, and collaborate with equipment experts, controls specialists and operations teams to define and implement effective solutions. * Drive automation-oriented developments for PS operation by identifying operational processes that can be made more robust, reproducible and efficient, and translating them into tools, procedures and applications that increase the autonomy of the accelerator. * Drive the performance optimisation of the PS beams for the LHC and the fixed target facilities, combining accelerator studies, operational data analysis and close collaboration with operations crews, machine experts and physics users. * Prepare, validate and improve operational settings, procedures and diagnostics required for reliable and reproducible PS operation. * Engage in cross-accelerator activities to share operational experience, promote synergies and develop common approaches for performance optimisation, software tools and automation, ensuring that best practices are transferred across CERN’s accelerator complex. * Develop, maintain and improve software tools, high level control applications and data analysis workflows supporting performance optimisation and operational decision making. * Propose, conduct and support machine development studies aimed at improving beam performance, operational efficiency and the understanding of PS limitations. * Share the operational status, performance analyses and improvement activities through clear updates, presentations and reports. * Identify and provide operational input for consolidation and upgrade activities, and future studies. ## Qualifications * Master's Degree or PhD or equivalent relevant experience in the field of Physics, Engineering or a related field. Experience: * Experience with accelerator operation or strong interest in developing a solid understanding of PS operation, accelerator systems and beam dynamics. * Experience in performance analysis, optimisation and the development or improvement of operational tools, with the motivation to become a key technical reference for PS operation. * Ability to understand and improve complex technical systems involving hardware, controls, software, operational constraints and beam performance aspects. * Proficiency in software development with Python, combined with experience in data analysis, diagnostics, performance monitoring or operational decision support. * Strong problem solving skills, with the ability to investigate technical issues, identify root causes and define pragmatic solutions in a complex operational environment. * Motivation and ability to drive automation, high level control applications and data driven methods to make accelerator operation more robust, reproducible and efficient. * Ability to work autonomously, take initiative and collaborate effectively with operations crews, equipment experts, controls specialists and other accelerator teams. * Ability to communicate technical results clearly through status updates, reports and presentations. * Knowledge of optimisation methods, feedback control or control algorithms would be an asset, in particular for applications to beam performance, automation or operational decision support. * Experience with operation, commissioning, performance optimisation or troubleshooting of complex scientific, technical or industrial facilities would be an advantage. * Knowledge of Java, accelerator controls, high level control applications or operational software would be an asset. Technical competencies: * Analysis and optimisation of accelerator performance. * Knowledge and application of software life-cycle tools and procedures. * Knowledge of programming techniques and languages. * Operation of accelerators. Behavioural competencies: * Solving Problems: producing workable and timely solutions that meet requirements. * Demonstrating Accountability: taking responsibility for own actions and decisions. * Demonstrating Flexibility: readily absorbing new techniques and working practices; proposing new or improved ways of working. * Communicating Effectively: expressing opinions, ideas and suggestions with conviction and in a logical/structured manner; keeping to the point. * Working in Teams: building and maintaining constructive and effective work relationships. Language skills: * Spoken and written English or French, with a commitment to learn the other language. ## Additional Information Eligibility and closing date: [Diversity](https://diversity.web.cern.ch/) has been an integral part of CERN's mission since its foundation and is an established value of the Organization. Employing a diverse workforce is central to our success. We welcome applications from all [Member States and Associate Member States](https://home.cern/about/member-states). This vacancy will be filled as soon as possible, and applications should normally reach us no later than 13.07.2026 at 23:59 CEST. Employment Conditions: Contract type: Limited duration contract (5 years). Subject to certain conditions, holders of limited-duration contracts may apply for an indefinite position. Working Hours: 40 hours per week Job Flexibility: Hybrid This position involves: * Participation in a regular stand-by duty, including nights, Sundays and official holidays. * Work in Radiation Areas. * Interventions in underground installations. * A valid driving licence. Job grade: 6-7 Job reference: BE-OP-PS-2026-128-LD Field of work: Applied Physics Benchmark Job Title: Applied Physicist Global Benefits * A [competitive salary](https://careers.cern/pay-benefits-and-support/) (tax free), increasing in line with your years of relevant experience. * 30 days of paid leave per year plus 2 weeks annual closure. * Coverage by CERN’s comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund. * Family, child and infant monthly allowances depending on your individual circumstances. * A relocation package (installation grant, removal, travel expenses) depending on your individual circumstances. * Possibility to extend your contract up to 8 years + eligibility for indefinite contract tenure. Overview of CERN - Discover a world where the impossible is made possible! At CERN, the European Organization for Nuclear Research, we are pushing the frontiers of science and technology. Our groundbreaking work brings together not only physicists but also a diverse range of professionals from engineering, technical, scientific, and administrative fields. Together, we foster an environment where innovation and collaboration thrive. Every day, we face exciting new challenges and opportunities to contribute to cutting-edge research that shapes our understanding of the universe. We meet these challenges through the diverse perspectives within our teams, ensuring every contribution is valued and driving our shared sense of inclusion and purpose. Diversity is a core value of CERN since its foundation, and it remains central to our mission and continued success. If you are ready to be part of a dynamic, inclusive community pushing the boundaries of knowledge, CERN is the place where your curiosity and skills can thrive. Be part of our mission to uncover what lies at the heart of the universe! TAKE PART! 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SMU serves approximately 7,000 undergraduates and 5,000 graduate students through eight degree-granting schools: Dedman College of Humanities and Sciences , Cox School of Business , Lyle School of Engineering , Meadows School of the Arts , Simmons School of Education and Human Development , Dedman School of Law , Perkins School of Theology and Moody School of Graduate and Advanced Studies . SMU is data driven, and its powerful supercomputing ecosystem – paired with entrepreneurial drive – creates an unrivaled environment for the University to deliver research excellence. Now in its second century of achievement, SMU is recognized for the ways it supports students, faculty and alumni as they become ethical, enterprising leaders in their professions and communities. SMU’s relationship with Dallas – the dynamic center of one of the nation’s fastest-growing regions – offers unique learning, research, social and career opportunities that provide a launch pad for global impact. SMU is nonsectarian in its teaching and committed to academic freedom and open inquiry. About the Department: The Office of the Senior Vice President (SVP) for Student Affairs provides strategic leadership for SMU’s Division of Student Affairs. Led by SVP Dr. K.C. Mmeje, the office includes seven full-time professionals who deliver essential centralized support to the division. Together, the team advances the division’s mission to foster a vibrant, inclusive, and supportive environment where every Mustang can thrive. About the Position: This role is an on-campus, in-person position. The Coordinator for the Office of the Senior Vice President for Student Affairs (OSVPSA) provides comprehensive event planning, communications, marketing, and development support to advance the mission, initiatives, and strategic priorities of the Division of Student Affairs at Southern Methodist University. Reporting to the Chief of Staff, this position plays a critical role in supporting signature events, shaping divisional messaging, managing digital and social media content, and assisting with development activities. The Coordinator works collaboratively with Student Affairs colleagues and campus partners to ensure cohesive, high-quality communications and operational support. Essential Functions: The Coordinator provides planning and logistical support for a variety of SVPSA and divisional events including coordinating timelines, invitations, communications, reservations, catering, materials preparation, and on-site support. They collaborate with stakeholders to ensure events are well organized, professionally executed, and aligned with divisional objectives. Develops and publishes engaging content across Student Affairs and SVPSA-related social media platforms. This includes monitoring engagement, analytics, and reporting. They ensure SM content reflects divisional priorities, celebrates campus life, and supports student engagement goals, while staying current on social media trends and best practices within higher education. Drafts and proofreads written materials on behalf of the OSVPSA. They support the development and execution of communication and marketing strategies, ensuring messaging is clear, professional, and aligned with SMU’s brand standards. They manage the division’s communications calendar. Assists with SA development-related activities, including stewardship communications and donor engagement efforts. They support coordination with University Development, help prepare briefing materials and correspondence related to fundraising activities, and support effective donor relations. Serves as an active and engaged member of the Office of the Senior Vice President for Student Affairs team. Supports the implementation and realization of the student affairs division mission and strategic plan. Other duties as assigned. Education and Experience: Bachelor’s is required. Experience with marketing, communications, and/or event planning is preferred. Experience within an educational organization is preferred. Knowledge, Skills and Abilities: Candidate must demonstrate strong interpersonal and verbal communication skills, with the ability to communicate broadly across the University and develop and maintain effective relationships with a wide range of constituencies. Must also demonstrate strong written communication skills. Candidate must possess strong problem-solving skills with the ability to identify and analyze problems, as well as devise solutions. Must also have strong organizational, planning and time management skills. Candidate must have the ability to conceptualize, write and edit strategic, accurate and concise content for various audiences, to work under pressure, meet deadlines, conduct multiple tasks and maintain effective working relationships, to coordinate large projects with numerous components over extended periods of time and to visually inspect print and online copy when self-editing or editing the copy of others. Knowledge of Asana Project Management is preferred. Physical and Environmental Demands: Sit for long periods of time Deadline to Apply: Applications received by June 19, 2026 will receive priority consideration. Position is open until filled. EEO Statement SMU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression. Benefits: SMU offers staff a broad, competitive array of health and related benefit s. In addition to traditional benefits such as health, dental, and vision plans, SMU offers a wide range of wellness programs to help attract, support, and retain our employees whose work continues to make SMU an outstanding education and research institution. SMU is committed to providing an array of retirement programs that benefit and protect you and your family throughout your working years at SMU and, if you meet SMU's retirement eligibility criteria, during your retirement years after you leave SMU. The value of learning at SMU isn't just about preparing our students for the future. Employees have access to a wide variety of professional and personal development opportunities , including tuition benefits . USA-TX-Dallas", "summaryDescription" : "Coordinator, Office of the Senior Vice President for Student Affairs (OSVPSA) at SMU. Skills: Event planning, Communications, Marketing. Provide event planning support. Coordinate event timelines", "createdAt" : "2026-06-14T08:54:01.274", "lastUpdated" : "2026-06-15T10:10:27.083", "ingestTimestamp" : "2026-06-14T08:54:01.274", "mongoId" : "6a24e77f74d8ee00a00261a3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Content creation", "Content editing", "Social media management", "Event planning", "Communications", "Marketing", "Development support", "Organizational skills", "Planning skills", "Time management skills", "Coordinate large projects", "Student affairs", "Higher education" ], "skillCount" : 13, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c967574d8ee00a098fa07", "title" : "Data Analyst, Value-Based Care Analytics", "company" : "Counterpart Health", "industry" : "Healthcare", "salary" : { "min" : 96000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote - USA", "locations" : [ "Remote - USA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T01:26:01.010", "fingerprint" : "d341d2b1990bf4e72061c93901aa893f68ab3f3e6434588dd38151101df7c3af", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/counterparthealth/jobs/7985985", "externalId" : "7985985", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, Spark, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering" ], "hardSkillsList" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning modeling", "ETL processes", "Data warehousing" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Value-Based Care, SQL, Python", "majorSkillsList" : [ "Data Analytics", "Value-Based Care", "SQL", "Python" ], "coreResponsibilities" : "Develop and maintain data models, Build and optimize ETL/ELT pipelines, Perform complex data analysis, Create insightful data visualizations, Support data-driven decision-making, Collaborate with stakeholders to understand data needs, Ensure data quality and integrity, Develop and implement machine learning models, Monitor and evaluate model performance, Contribute to data strategy and roadmap", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Value-based care; Healthcare analytics; Healthcare data", "domainList" : [ "value-based-care", "healthcare-analytics", "healthcare-data" ], "domainSpecificKnowledge" : [ "Value-based care", "Healthcare analytics", "Healthcare data" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "SageMaker", "Vertex AI", "Synapse", "ML Studio", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Data analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data analytics, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree preferred, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with BI tools (Tableau, Power BI, Looker)", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Counterpart Health is an AI‑powered physician enablement platform that delivers clinical insights to providers at the point of care. Our flagship product, Counterpart Assistant, is embedded into clinicians’ workflows and integrates with EHR systems, helping care teams drive value-based outcomes, close care gaps, and proactively manage chronic disease. As we expand across Medicare Advantage and other value-based care programs, we need analytical talent that can translate complex clinical and financial data into narratives that drive action, for both our internal teams and our payer and provider customers. You will be part of the analytical engine behind Counterpart Health’s value-based care performance insights. This role sits at the intersection of risk adjustment, quality measurement, utilization management, and cost analytics, and you will be expected to own the metrics that matter most to our payer and provider partners. Beyond the numbers, you are a storyteller: you turn dense claims and clinical data into clear, compelling narratives that help customers understand performance, identify opportunities, and take action. You will work closely with Customer Success, Clinical, and Product teams to ensure our analytics are accurate, trusted, and decision-ready. As a Data Analyst, you will: Build and maintain core Value-Based Care (VBC) performance metrics across risk, quality, utilization, and cost domains, including HCC capture rates, RAF scores, PMPM trends, and inpatient/ED utilization rates. Develop customer-facing analytics, reports, and dashboards that surface actionable performance insights for payer and provider partners in a clear, narrative-driven format. Analyze Medicare Advantage performance data, including risk adjustment, quality bonus payments, and benchmark performance, to identify gaps, trends, and opportunities at the patient, provider, and market level. Translate complex data findings into executive-ready narratives: written summaries, slide-ready visuals, and structured QBR materials that tell a coherent story about performance and next steps. Conduct deep-dive utilization and cost analyses, including high-cost claimant reviews, avoidable utilization patterns, and specialty/pharmacy spend trends, to identify levers for improvement. Partner with Customer Success and Provider Operations teams to prepare and deliver performance reviews (QBRs, monthly reporting packages) that communicate value and surface priority action areas for each customer. Collaborate with Data Engineering to validate claims and clinical data pipelines, flag anomalies, and ensure metric consistency across customer populations. Contribute to the development of scalable analytics infrastructure: reusable SQL libraries, metric definitions, and documentation that enable the team to move faster. You should get in touch if you have: 4+ years of hands-on healthcare data analytics experience, with direct exposure to payer or provider customers in a value-based care context. Deep familiarity with VBC metrics: risk adjustment (HCC coding, RAF scores), utilization (IP admissions, ED visits, readmissions), and cost (PMPM, total cost of care, benchmark vs. actual). Strong SQL skills, able to write complex queries across claims, eligibility, and clinical datasets in cloud-based warehouses (BigQuery, Snowflake, or similar). Exceptional data storytelling ability: you can translate analytical findings into clear narratives and visuals that resonate with both clinical and non-technical audiences. Experience building customer-facing reports and dashboards; comfortable presenting findings to external stakeholders (health plans, provider groups, ACOs). Preferred Qualifications: Medicare Advantage experience, including familiarity with CMS risk adjustment models (CMS-HCC v24/v28), Star Ratings methodology, and MA quality bonus payment structures. Familiarity with clinical terminologies: ICD-10, CPT/HCPCS, NDC, SNOMED, LOINC. Experience using Python or R for data manipulation, cohort analysis, or statistical modeling. Background working with EHR or clinical data alongside claims (e.g., for care gap closure, chronic condition identification, or attribution logic). Prior experience in a health plan, risk-bearing provider group, ACO, or health tech company supporting VBC programs. Benefits Overview: Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions. Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare. Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. Professional Development: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews. Additional Perks: Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities Reimbursement for office setup expenses Monthly cell phone & internet stipend Remote-first culture, enabling collaboration with global teams Paid parental leave for all new parents And much more! About Counterpart Health: In 2018, Clover Health set out to do something unprecedented: build a clinically intuitive, AI-enabled solution that fits within physicians' workflows to help support the earlier diagnosis and management of chronic conditions. Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care. With an exceptional team of value-based care and technology experts, Counterpart Health is driving value-based care at the speed of software. Counterpart Health is a subsidiary of Clover Health. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility. #LI-REMOTE Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc. A reasonable estimate of the base salary range for this role is: $96,000—$125,000 USD", "summaryDescription" : "Data Analyst, Value-Based Care Analytics at Counterpart Health. Skills: Data Analytics, Value-Based Care, SQL, Python. Develop and maintain data models. Build and optimize ETL/ELT pipelines", "postedDate" : "2026-06-14T20:06:25.639", "createdAt" : "2026-06-14T20:06:25.639", "lastUpdated" : "2026-06-16T01:26:01.010", "ingestTimestamp" : "2026-06-14T20:06:25.639", "mongoId" : "6a2c967574d8ee00a098fa07", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 96000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning modeling", "ETL processes", "Data warehousing", "Data Analytics", "Value-Based Care", "SQL", "Python", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Value-based care", "Healthcare analytics", "Healthcare data", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "R", "Spark", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "SageMaker", "Vertex AI", "Synapse", "ML Studio", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "skillCount" : 49, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3051dbf292fd229cf07fea", "title" : "Director of Data - Logistics & Fulfilment", "company" : "Ocado Group", "industry" : "Logistics", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Data in London, UK, adjusted for the logistics industry and Ocado Group's company size." }, "location" : "Trident Place Two", "locations" : [ "Trident Place Two" ], "timestamp" : "2026-06-16T06:40:03.645", "fingerprint" : "090e0126cbc9f0e50c32760c68d37c88b5ec85308a56b15411881aa90b41ce6a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.ocadogroup.com/jobs/details?gh_jid=4833468101&gh_jid=4833468101", "externalId" : "4833468101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, Scala, Spark, SQL, MLOps, AWS, GCP, Azure", "professionalSkills" : [ "Operations research", "Algorithm development", "Data storytelling", "Stakeholder management" ], "hardSkillsList" : [ "Logistics optimisation", "Applied ML", "Forecasting", "Modelling", "Routing optimisation" ], "softSkillsList" : [ "Leadership", "Coaching", "Mentoring" ], "hardSkills" : [ { "name" : "Logistics optimisation", "level" : "intermediate" }, { "name" : "Applied ML", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "Modelling", "level" : "intermediate" }, { "name" : "Routing optimisation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Coaching" }, { "name" : "Mentoring" } ], "majorSkills" : "Data science, Machine learning, Operations research", "majorSkillsList" : [ "Data science", "Machine learning", "Operations research" ], "coreResponsibilities" : "Lead data science, ML, and operations research, Foster working relationship between data science and engineering, Move ML models into production at scale, Oversee long-term vision for data science group, Ensure research depth translates into operational value, Support and develop data science crafts, Help organisation understand opportunities, Work with Data Engineering and Analytics, Embed strategy to capture metrics, Line manage Data Team Leaders, Represent data function in leadership teams", "teamCollaboration" : "Data science and engineering; Data Engineering and Analytics; Logistics and Fulfillment Senior Leadership Teams", "domainKnowledge" : "Physical hardware; Complex logistics; Warehouse optimisation; Delivery networks", "domainList" : [ "physical-hardware", "complex-logistics", "warehouse-optimisation", "delivery-networks" ], "domainSpecificKnowledge" : [ "Physical hardware", "Complex logistics", "Warehouse optimisation", "Delivery networks" ], "toolProficiency" : [ "MLflow" ], "communicationSkills" : "Data storytelling; Stakeholder relationships", "problemSolvingSkills" : "Proactive problem solver", "specialRequirements" : "Two days onsite", "outcomesObjectives" : "Take us from great research to production-scale impact; Energise team to push boundaries", "qualificationsBasic" : "In-depth knowledge of ML, Deploy models in production at scale, SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Director of Data - Logistics & Fulfilment | London | Hybrid “This is a two-day onsite opportunity, split between our Tech Hub in Old Street and our HQ in Hatfield.” About us: Ocado Technology is putting the world's retailers online using the cloud, robotics, AI, and IoT. We develop the innovative software and systems that power Ocado.com, the world's largest online-only grocery retailer, as well as the global \"Ocado Smart Platform\". We champion a value-led culture of Trust, Autonomy, Craftsmanship, Collaboration, and Learn Fast to help our teams work at their very best. About the role: This is a strategic leadership position sitting at the intersection of complex maths and physical reality. You will lead a high-impact cluster of four teams covering a broad spectrum of interesting and challenging areas including Logistics optimisation (algorithms for routing optimisation), applied ML (for continuously improving our drive/drop time estimates), forecasting and modelling. Our data teams within Logistics research and build the algorithms that optimise decisions for the world’s most advanced warehouses and delivery networks. You’ll be responsible for the strategy and delivery of data science, ML, and operations research across both Logistics and Fulfillment (CFCs). We need a leader who can take us from \"great research\" to \"production-scale impact,\" energising the team to push boundaries rather than settling for the status quo. What the role involves: Fostering a tight working relationship between data science and engineering to move ML models into production at scale. Overseeing the long-term vision for our 4-team data science group, ensuring research depth translates into operational value. Supporting and developing our data science crafts while helping the wider organisation understand where the biggest opportunities live. Working with Data Engineering and Analytics to embed a strategy that captures the right metrics for better product decisions. Line managing Data Team Leaders and representing the data function within the Logistics and Fulfillment Senior Leadership Teams. What we're looking for: In-depth knowledge of ML, and how to deploy models in production at scale (MLOps). A proactive problem solver comfortable with the ambiguity of physical hardware and complex logistics A strong communicator adept at data storytelling, capable of managing complex stakeholder relationships by listening as much as influencing. The ability to use data to help product management prioritize feature development and measure improvements post-release. A leader who creates happy, high-performing teams through coaching, 1:1s, and a commitment to knowledge sharing. What do I get in return: Hybrid working pattern (2 days in the office) Wellbeing support through Apps such as Unmind and an Employee Assistance Programme 25 days annual leave, rising to 27 days after 5 years service (plus optional holiday purchase) Pension scheme(various options available including employer contribution matching up to 7%) Private Medical Insurance 22 weeks paid maternity leave and 6 weeks paid paternity leave (once relevant service requirements complete) Train Ticket loan (interest-free) Cycle to Work Scheme Share options Leadership bonuses Opportunity to participate in Share save and Buy as You Earn share schemes 15% discount on Ocado.com and free delivery for all employees Income Protection(can be up to 50% of salary for 3 years) and Life Assurance(3 x annual salary) #LI-JT1 #LI-OT #LI-HYBRID", "summaryDescription" : "Director of Data - Logistics & Fulfilment at Ocado Group. Skills: Data science, Machine learning, Operations research. Lead data science, ML, and operations research. 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Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United Kingdom-England-London", "summaryDescription" : "Architect for Data Center Projects. Skills: Architecture, Data Center Projects. 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Faculty collaboration; Master's team coordination; Internal constituencies liaison; External constituencies liaison; Teaching assistant liaison; Administration liaison; Program Managers collaboration", "domainKnowledge" : "Clinical Research", "domainList" : [ "clinical-research" ], "domainSpecificKnowledge" : [ "Clinical Research" ], "toolProficiency" : [ "CANVAS" ], "communicationSkills" : "Student communications", "documentationSkills" : "Prepare visa documents; Prepare paperwork", "continuousLearning" : "Professional development opportunities; Tuition assistance; Tuition reimbursement", "innovationCreativity" : "Inspires innovation", "qualificationsBasic" : "4 or more years of experience, Higher education may count towards experience", "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 Medical School? Harvard Medical School's mission is to nurture a diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership. You’ll be at the heart of biomedical discovery, education, and innovation, working alongside world-renowned faculty and a community dedicated to improving human health. This is more than a job - it’s an opportunity to shape the future of medicine. Under the direction of the Assistant Director within the Office of Graduate Education, this individual will divide their time between program management, student management, financial reporting and admissions for the Master of Science in Clinical Research. Specific responsibilities include Admissions This role will coordinate efforts across units to ensure successful program launches in the start of each admissions cycle. Collaborate with faculty on enrollment data and information. Prepare and send communications to students and monitor questions sent to program inboxes. Score incoming applications and schedule interviews with Program Directors, Alumni and participate in the interview. Organize and facilitate Admissions Committee and send out decision letter. Communicate student numbers to Leadership. Update databases as needed and prepare visa documents. Monitor the student information system to ensure students are successful Specific responsibilities include: Admissions: This role will coordinate efforts across units to ensure successful program launches in the start of each admissions cycle. Collaborate with faculty on enrollment data and information. Prepare and send communications to students and monitor questions sent to program inboxes. Score incoming applications and schedule interviews with Program Directors, Alumni and participate in the interview. Organize and facilitate Admissions Committee and send out decision letter. Communicate student numbers to Leadership. Update databases as needed and prepare visa documents. Monitor the student information system to ensure students are successfully onboarded to HMS. Program Management: Serves as primary course coordinator, planning and scheduling class sessions, coordinating content with the master’s team, and as acting as liaison for internal and external constituencies, including students, faculty, teaching assistants, and administration. Regularly maintains and manages the program gradebook for tracking of academic compliance and student progress. Works with Program Managers and program faculty to update course curriculum, including online and workshops. Tracks development of agendas and educational materials for classes; distributes materials to participants and advises participants regarding materials they must acquire independently. Maintains online library and scheduling of curriculum materials including assignments; coordinates preparation of online course material and prepares materials for upload to course CANVAS sites. Manages and processes guest lecturer’s payment(s) and prepares necessary paperwork for payment on a timely basis. Prepares materials for uploading and ensures they are available to all students and faculty on a timely basis. Student Management: Creates a sense of community for our students while they are in this program. Creates onboarding packets, manages the student hub, schedules and student queries. Work with the students at the beginning of each semester to make sure they are registered for the current courses in their program. Interacts with the students, answering and triaging questions. Serves as the primary contact for student issues. Financial Reporting: Develop contracts for faculty and process their payments. Updates finance spreadsheets and forecast finance payments during the budget season. Reporting and Special Projects: Maintain record of grades and other statistics and report as appropriate. Maintain other records, including number of applications, diversity statistics, admission, etc. Develop and coordinate data and records for all students, alumni and faculty. Take initiatives to identify ways to grow the program and collect relevant data. ## Qualifications Basic Qualifications: 4 or more years of experience. Higher education may count towards experience. Additional Qualifications and Skills: Must be proactive, detailed orientation and must have excellent time management skills. ## Additional Information * Standard Hours/Schedule: 40 hrs. per week | Monday - Friday | 8:00 am - 5:00 pm. This is a hybrid position and requires the program coordinator to come into the office 2x per week. * Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position. * Pre-Employment Screening: Identity * Staying Informed About Your Application: Due to the high volume of applications, we may not always be able to reach out right away, but you can track your status anytime through the Careers@Harvard portal. #LI-KM2 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 055. 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" : "Program Coordinator of the Masters of Science in Clinical Research at Harvard University. Skills: Program management, Student management, Admissions, Financial reporting. Coordinate program launches. 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Commitment to building an inclusive workplace and accessible products. Reasonable adjustments or accommodations for interviews are available.", "outcomesObjectives" : "Connect technical investment to outcomes like experimentation velocity, personalization, revenue impact, cost control, and better product decisions.", "qualificationsBasic" : "Platform leader at scale, product-minded and commercially sharp, confident with data-powered products, quality and ownership obsessed, cross-functional by nature, direct and pacey, strategic but sleeves-rolled-up.", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Skyscanner Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily \uD83D\uDCBB. Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all \uD83C\uDF0D. Our vision? To be the world's number one travel ally. (Ambitious? \uD83D\uDCAA Yes, but, hey, that's what got us here) About the role (Hybrid) Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our platform capability is stepping into an even bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and measurable business impact at scale. You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting. Inspired by the structure and tone of the example JDs. You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week. What you’ll be doing - Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform the whole data organisation depends on. - Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers. - Powering production-ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller-facing experiences, without bespoke rework every time. - Enabling AI-assisted self-serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted answers faster, and consume analytics through AI-native experiences grounded in governed metrics, clear definitions, and reusable knowledge. - Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted data products. - Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more use cases without scaling complexity at the same speed. - Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable health, and faster issue detection and resolution. - Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics, data science, and business teams. - Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation velocity, personalisation, revenue impact, cost control, and better product decisions. About you - Platform leader at scale: You’ve led business-critical platforms that many teams rely on, and you know how to make shared infrastructure trusted, adopted, and economically sustainable. - Product-minded and commercially sharp: You connect platform choices to company priorities, from revenue impact and product learning to operational risk and ROI. - Confident with data-powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves into real product experiences. - Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without wrapping everyone in red tape. - Cross-functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful. - Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when something is not working. - Strategic but sleeves-rolled-up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming. What it's like here We are the real deal https://www.skyscanner.net/jobs/life— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier \uD83E\uDDED. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all https://www.skyscanner.net/jobs/esg ✨. Sound like your kind of adventure? \uD83D\uDE80 Apply now and help us shape the future of travel. We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident https://www.skyscanner.net/news/a-disability-confident-employer scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. ", "summaryDescription" : "Director of Product - Data Platform and Decision Tooling at Skyscanner. Skills: Platform leadership, Product judgement, Commercial impact, Data platform, ML. Owning a trusted data platform, making experimentation fly, powering production-ready ML, enabling AI-assisted self-serve analytics, building for agentic data engineering, scaling data delivery, making quality visible, shaping the operating model, and turning platform work into impact.", "createdAt" : "2026-06-14T20:17:27.024", "lastUpdated" : "2026-06-15T09:58:14.336", "ingestTimestamp" : "2026-06-14T20:17:27.024", "mongoId" : "6a2cafed74d8ee00a09d83ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "ML", "curious, caring, cross-functional", "Platform leadership, Product judgement, Commercial impact, Data platform, ML", "Data platform, AI platform, product engineering, analytics, data science, business teams." ], "skillCount" : 4, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305093f292fd229cef248e", "title" : "Head of Vio Data Solutions", "company" : "Vio", "industry" : "Partnerships & Business Development", "salary" : { "min" : 150000.0, "max" : 220000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director-level executive in the Travel industry in the Netherlands, adjusted for remote work and company size." }, "location" : "Netherlands - Employee", "locations" : [ "Netherlands - Employee", "Remote", "Amsterdam / Remote" ], "timestamp" : "2026-06-16T11:10:38.702", "fingerprint" : "1be5905ebbbea8fe7cfa6befca199814110d3a5dc5ad5dd697c1b4b8b6e2c6f4", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/vio/ba55b5f5-cae9-4df7-acae-d5b9e11ab124/application", "externalId" : "ba55b5f5-cae9-4df7-acae-d5b9e11ab124", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "professionalSkills" : [ "Productization", "Pricing", "Sales", "Team-building", "Commercialisation models", "Sales pipeline management" ], "hardSkillsList" : [ "Data product sales", "Deal negotiation", "Post-sales relationships" ], "softSkillsList" : [ "Entrepreneurial" ], "hardSkills" : [ { "name" : "Data product sales", "level" : "intermediate" }, { "name" : "Deal negotiation", "level" : "intermediate" }, { "name" : "Post-sales relationships", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Entrepreneurial" } ], "majorSkills" : "Data product lifecycle, Sales, Team leadership", "majorSkillsList" : [ "Data product lifecycle", "Sales", "Team leadership" ], "coreResponsibilities" : "Identify data products, Identify customer segments, Design pricing models, Design commercialisation models, Build sales pipeline, Close first deals, Hire team, Develop team", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Accommodation industry; Travel industry; Data products; Revenue management; OTAs", "domainList" : [ "accommodation-industry", "travel-industry", "data-products", "revenue-management", "otas" ], "domainSpecificKnowledge" : [ "Accommodation industry", "Travel industry", "Data products", "Revenue management", "OTAs" ], "continuousLearning" : "Knowledge sharing", "specialRequirements" : "Based in Europe, Preferably in Amsterdam", "qualificationsBasic" : "Experience designing data products, Experience delivering data products, Proven track record in sales, Leadership experience", "qualificationsPreferred" : "Travel industry veteran, Deep experience in revenue management, Deep experience in data products, Deep experience in accommodation OTAs, Entrepreneur with track record, Self-directed leader", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "At Vio https://www.vio.com/, we believe booking accommodation should feel fair and effortless, never overwhelming or unclear. As one of the world’s most innovative travel tech platforms, we help millions of users make smarter travel decisions by comparing stays across 100+ booking sites so that they can find the best place, at the best price, anywhere in the world. Central to everything we do is data. We capture vast amounts of it, and we use it to power every product decision and customer interaction we make. Having built a robust, scalable infrastructure to store and surface this data, we're now ready to take the next step: offering it to other industry stakeholders who can use it to improve the market and unlock new efficiencies. Who we're looking for We're looking for an entrepreneurial business leader to own and drive this new initiative from the ground up. This isn't a role for someone who needs a playbook — it's for someone who writes them. You'll lead the entire data product lifecycle: from productisation and pricing through to sales and team-building. You'll be the first mover on a genuinely differentiated opportunity, backed by exceptional data infrastructure and industry-unique datasets. You have : - Experience designing and delivering data products at scale in the accommodation or travel industry - A proven track record in sales — including prospecting, negotiating, closing deals, and managing post-sales relationships - Leadership experience to grow the initial momentum into a scalable, standalone business unit What you'll do - Identify the data products we can build and the customer segments best positioned to benefit from them - Design pricing and commercialisation models that create genuine value for buyers and for Vio - Build the sales pipeline from scratch — and close the first deals yourself - Hire and develop a team to scale the business once traction is established Who you are - A travel industry veteran with deep experience in revenue management, data products, or accommodation OTAs - An entrepreneur at heart — someone with a track record of taking businesses from zero to one, or a self-directed leader who creates momentum without needing organisational scaffolding - Comfortable with ambiguity and energised by the challenge of building something new Why join us now? - Vio is an exceptional innovator in the accommodation booking space, using modern technology and a customer centric approach to innovate in ways few can. Bringing our data to new customers in the industry would often change how they run their operations, significantly increasing their competitiveness and its an honour to be a driver of such change - In 2026, we underwent a company-wide rebrand and launched our first StoryTelling marketing campaign in the UK. This was the next step in our commitment to help travelers book like insiders, and to establish Vio as a consumer-facing, creative brand. - The mobile applications (iOS https://apps.apple.com/us/app/vio-com-book-hotel-deals/id1639101398 and Android https://play.google.com/store/apps/details?id=com.vio.mobileapp&hl=en_US&gl=US) we launched in 2023 have been a big success, reaching 5 million installs and earning strong customer reviews. - We’re a passionate and diverse team of tech enthusiasts and creatives, with a commitment to the traveler above all else. - We reward our employees for the value they create by granting Stock Appreciation Rights https://medium.com/viodotcom/why-findhotel-offers-share-appreciation-rights-sar-1b688867d8c4 to all employees. What we offer - Plenty of chances to learn and grow within an open, diverse culture that promotes knowledge sharing, trust, and transparency. - A great compensation package, perks, and benefits – including significant stock appreciation rights. - Flexible time off, with as many holidays as you need, and a chance to work remotely. - You’ll be part of an international team https://medium.com/viodotcom/2021-our-people-in-numbers-b72145c3fa9b in one of the best office locations in Amsterdam - We value good food and offer catered lunches from various cuisines, great coffee, and the occasional barbecue in our garden. - We enjoy getting together to celebrate our wins, with company events in Amsterdam and abroad. - A budget for your home office - Access to free mental health support via OpenUp https://openup.com/ We encourage people from all ethnic groups, genders, sexualities, ages, and abilities to apply. If this job description resonates with you, we’d love to hear from you. Please note: Although this role can be remote, we are only considering candidates based in Europe, preferably in Amsterdam. Blog posts worth reading - Our Core Values and What they Mean to our People https://medium.com/viotdotcom/our-core-values-and-what-they-mean-to-our-people-2880e69413c1 - Re-Imagining Metasearch for Traveling https://medium.com/@viodotcom1/vio-com-reimagining-metasearch-for-travelers-aa41548eebee - The Hiring Process at Vio https://medium.com/viodotcom/the-hiring-process-at-vio-c658b3bf4be2 - Our Rebrand https://www.vio.com/blog/the-journey-behind-vios-new-brand - What we celebrate at Vio https://medium.com/viodotcom/what-we-celebrate-at-findhotel-53cb261b7d9d Follow us on Instagram https://www.instagram.com/lifeatviodotcom/ and TikTok https://www.tiktok.com/@vio.com.travel to see what life at Vio looks like.", "summaryDescription" : "Head of Vio Data Solutions at Vio. Skills: Data product lifecycle, Sales, Team leadership. Identify data products. Identify customer segments", "createdAt" : "2026-06-16T00:26:06.696", "lastUpdated" : "2026-06-16T11:10:38.702", "ingestTimestamp" : "2026-06-16T00:26:06.696", "mongoId" : "6a305093f292fd229cef248e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data product sales", "Deal negotiation", "Post-sales relationships", "Entrepreneurial", "Data product lifecycle", "Sales", "Team leadership", "Productization", "Pricing", "Team-building", "Commercialisation models", "Sales pipeline management", "Accommodation industry", "Travel industry", "Data products", "Revenue management", "OTAs" ], "skillCount" : 17, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Travel", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3066e8f292fd229cfb6da1", "title" : "Director of Warehouse and Distribution", "company" : "Kent Outdoors", "industry" : "Logistics", "salary" : { "min" : 155000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Warehouse and Distribution in Pooler, United States, adjusted for industry and company size." }, "location" : "Pooler, GA", "locations" : [ "Pooler", "GA" ], "timestamp" : "2026-06-16T08:47:19.562", "fingerprint" : "6e0a38240362cdb94a72d33e88bd9ee05626a46b6f45d5f5e84d66d818c2bbb5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://kentoutdoors.com/careers?gh_jid=5263338008", "externalId" : "5263338008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pooler", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.1158983,-81.2495131" } ], "locationText" : "Pooler, Georgia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "Director", "technicalSkills" : "WMS software", "professionalSkills" : [ "Warehouse management", "Distribution management", "Inventory control", "Logistics operations", "Team leadership", "Process improvement", "Vendor management", "Budget management", "Performance metrics" ], "hardSkillsList" : [ "Warehouse operations", "Distribution operations", "Inventory management", "Logistics planning", "Budgeting", "Performance analysis" ], "hardSkills" : [ { "name" : "Warehouse operations", "level" : "intermediate" }, { "name" : "Distribution operations", "level" : "intermediate" }, { "name" : "Inventory management", "level" : "intermediate" }, { "name" : "Logistics planning", "level" : "intermediate" }, { "name" : "Budgeting", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" } ], "majorSkills" : "Warehouse operations, Distribution management, Inventory control", "majorSkillsList" : [ "Warehouse operations", "Distribution management", "Inventory control" ], "coreResponsibilities" : "Oversee daily warehouse operations, Manage inventory levels and accuracy, Ensure efficient distribution processes, Lead and develop warehouse staff, Implement and maintain warehouse safety standards, Manage warehouse budget and expenses, Optimize warehouse layout and workflow, Collaborate with logistics and supply chain teams, Monitor and report on key performance indicators, Manage relationships with vendors and carriers, Ensure compliance with regulations", "teamCollaboration" : "Logistics teams; Supply chain teams; Warehouse staff", "domainKnowledge" : "Warehouse operations; Distribution logistics; Inventory management systems", "domainList" : [ "warehouse-operations", "distribution-logistics", "inventory-management-systems" ], "domainSpecificKnowledge" : [ "Warehouse operations", "Distribution logistics", "Inventory management systems" ], "toolProficiency" : [ "WMS software" ], "communicationSkills" : "Performance reporting; Vendor communication", "documentationSkills" : "Safety procedures; Process documentation", "innovationCreativity" : "Process optimization", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "outcomesObjectives" : "Maintain inventory accuracy; Improve operational efficiency; Reduce distribution costs; Ensure timely order fulfillment; Enhance warehouse safety", "qualificationsBasic" : "5+ years of experience in warehouse operations, 3+ years of experience in a management role, Experience with WMS software", "qualificationsPreferred" : "Bachelor's degree in Supply Chain Management or related field, Experience with Lean or Six Sigma methodologies", "workSiteFlexibility" : "Onsite", "rawDescription" : "For over 50 years KENT OUTDOORS has been the ultimate destination for outdoor enthusiasts, offering a curated collection of industry-leading brands driven by the pure pursuit of adventure. KENT Outdoors is a collection of brands all obsessively focused on building the most innovative and reliable equipment for use in our most revered natural playgrounds. We relentlessly dream, build, and offer products that empower the very best days outside. We’re a collection of outdoor fanatics, product geeks, marketing mavens, and entrepreneurs all focused on pushing through boundaries, both on land, and in the water. Holding true to our roots while evolving for the future, the family of KENT brands today includes Absolute Outdoors, Arctic Shield, Aquaglide, Arbor Snowboards, Barefoot International, BOTE, Connelly, FatSac, Freedom Foil, Full Throttle, HO Sports, Hyperlite, KENT, Liquid Force, Margaritaville, O’Brien, and Onyx. Your Impact The Director of Warehouse and Distribution is responsible for management of the new Pooler, GA facility (170,000 sq. ft. building, with 20 team members) and all aspects of distribution within the facilities. This role will develop and implement strategies for improving Key Performance Indicators including shrink, incident rates, overtime, pick rates, order accuracy, and customer satisfaction. The Director will be an expert in Safety, Continuous Improvement, and Warehouse Operations. What You’ll Do Maintains inbound receiving process while focusing on maintaining or improving container receiving times. Controls inventory levels by managing a robust cycle count process Complies with federal, state, and local warehousing, material handling, and shipping requirements. Safeguards warehouse operations and contents by establishing and monitoring security procedures and protocols. Implementing and Managing the Safety Program Maintains physical condition of warehouse by planning and implementing new design layouts to improve efficiency Achieves financial objectives by preparing an annual budget; scheduling expenditures; analyzing variances; initiating corrective actions. Completes warehouse operational requirements by scheduling and assigning employees Maintains warehouse staff by recruiting, selecting, orienting, and training employees. Maintaining a close relationship with local staffing agencies will be important. Maintains warehouse staff job results by coaching, counseling, and disciplining employees Maintains professional and technical knowledge by attending educational workshops Contributes to team effort by accomplishing related results as needed. Monitor, manage, and communicate key KPI’s across all phases of operations Maintain a relationship with local law enforcement and fire departments and ensure our facility is up to code This role will be the point of contact for anything related to managing the facility. This included, fire department, police department, security system, inbound and outbound freight companies, and more. What You’ve Accomplished Proven work experience as a Warehouse Manager or Director of Warehousing is a must have. Expertise in creating warehouse management procedures and best practices Proven ability to implement process improvement initiatives Strong knowledge of warehousing Key Performance Indicators (KPIs) Hands on experience with warehouse management software and databases Leadership skills and ability manage staff Strong decision making and problem-solving skills Excellent communication skills Experience implementing or managing a safety program is required Continuous Improvement Experience is preferred Bachelor Degree is preferred How You Thrive You go “all out.”  You tend to approach everything you do with velocity.  From your next exhilarating outdoor adventure to scaling meaningful peaks at work, you act with speed, direction, ethics, and forethought. Your efficiency is rooted in the knowledge that resources are not infinite. You are goal-oriented and focused on outcomes. When you see a challenge or obstacle to overcome, you jump in collaboratively to find a solution; team achievements should be celebrated more than individual performance. You are compelled to share your perspective because it is rooted in experience and synthesis thinking - you know that healthy debate yields better decisions. You are humble despite your impressive past accomplishments. Your communication style is honest and forthright, yet empathetic, with everyone.  KENT Outdoors is proud to be an Equal Opportunity Employer. ", "summaryDescription" : "Director of Warehouse and Distribution at Kent Outdoors. Skills: Warehouse operations, Distribution management, Inventory control. Oversee daily warehouse operations. Manage inventory levels and accuracy", "postedDate" : "2026-06-15T23:28:44.606", "createdAt" : "2026-06-15T23:28:44.606", "lastUpdated" : "2026-06-16T08:47:19.562", "ingestTimestamp" : "2026-06-15T23:28:44.606", "mongoId" : "6a3066e8f292fd229cfb6da1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Warehouse operations", "Distribution operations", "Inventory management", "Logistics planning", "Budgeting", "Performance analysis", "Distribution management", "Inventory control", "Warehouse management", "Logistics operations", "Team leadership", "Process improvement", "Vendor management", "Budget management", "Performance metrics", "Distribution logistics", "Inventory management systems", "WMS software" ], "skillCount" : 18, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Outdoor & Apparel", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305713f292fd229cf33809", "title" : "Guest Ambassador (Top of the Rock - Rockefeller Center)", "company" : "SPS-North America", "industry" : "Hospitality", "salary" : { "min" : 20000.0, "max" : 20000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-16T07:39:01.359", "fingerprint" : "ae466bbda43095c975f6e6d866bcecf49a25fe70ebbdcb826c43ded01ce24fd3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/spsnorthamerica/jobs/5259765008", "externalId" : "5259765008", "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" : "PART_TIME", "coreResponsibilities" : "Greet and welcome guests, Provide information about attractions, Assist guests with ticketing, Handle guest inquiries, Maintain a clean and organized workspace, Promote venue services, Ensure guest satisfaction", "domainKnowledge" : "Rockefeller Center", "domainList" : [ "rockefeller-center" ], "domainSpecificKnowledge" : [ "Rockefeller Center" ], "communicationSkills" : "Guest interaction", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "#parttime #temporary Reports To: Client Services Supervisor, Client Services Manager, or equivalent leadership Schedule: 25 hours/week | Shifts between 7:30AM–3:30PM or 3:00PM–11:00PM/12:00AM Business Hours: Monday–Sunday, 7:00AM–12:00AM Be the Face of an Unforgettable Experience We’re seeking warm, outgoing individuals to serve as Guest Experience Ambassadors—the first point of connection for our guests. In this role, you’ll create memorable experiences through genuine hospitality, strong presence, and attention to detail. If you enjoy engaging with people and thrive in a fast-paced environment, this is your opportunity to make a lasting impression. Why This Role Matters Ambassadors shape the guest experience from the moment of arrival. Your ability to welcome, guide, and support guests ensures each visit feels smooth, engaging, and well-coordinated. What You'll Do Guest Experience Greet and welcome guests in a friendly and professional manner. Provide information and answer questions clearly and confidently. Guide guests through the start of their experience and offer directions as needed. Guest Support Address guest inquiries and resolve concerns efficiently. Share relevant updates on events, programming, and offerings. Operations additional languages are a plus Qualifications Experience in hospitality or customer-facing roles preferred Background in guest engagement, entertainment, or high-touch service environments is a plus Ability to stand and walk for extended periods Ability to lift 10–20 lbs. as needed Compensation: The expected compensation is an estimate, and the final offer will depend on skills, experience, and other job-related factors. Use of Artificial Intelligence (AI): No AI or automated decision-making tools are used to screen, assess, or select candidates for this role. Our company uses the Greenhouse applicant tracking system, which does not apply AI in these parts of the hiring process. Vacancy Status: This posting is for an existing vacancy. Pay Range $20—$20 USD WHAT WE OFFER Career Growth: An opportunity to enter a job that allows you to learn new skills or use a variety of them that may lead you to uncover other career opportunities! Learning & Development: At SPS, we promote a work culture of learning so that you can develop to be the best at what you do! We Recognize Talent: We offer a variety of recognition programs for all levels of employees! Benefit Offerings: Medical, Dental, Vision, HCFSA, DCFSA, HSA, Commuter Transit and Parking, Supplemental Life Insurance, Accident Insurance, Critical Illness, Hospital Indemnity, Legal Program, Identify Theft Protection, Pet Discounts, Pet Insurance, Group Home and Auto Insurance, EAP, Short Term Disability, Life Insurance, Education Discounts, 401k w/ matching, Entertainment Discounts, & Paid Time Off. Note: Please inquire with the Human Resources team for benefit offerings per role as regular positions that routinely are under 30 hours/week may have a different benefit offering. About SPS SPS is an award-winning employer of choice offering outsourcing solutions that leverage Intelligent Automation (Artificial Intelligence & Robotic Process Automation) in more than 22 countries across the globe. In North America, our services include Mailroom Management (both physical and digital), Office Services such as Reception, Lobby Concierge and Conference Room Management in addition to Document Processing Services utilizing leading edge technologies. Our clients today are companies in sectors such as banking, insurance, legal, higher education, advertising and other professional services, including many Fortune 500 companies. SPS is committed to delivering high caliber outsourcing experience to our clients and offering our employees challenging and exciting career opportunities throughout the North America region and globally. SPS is committed to investing in the professional development of our employees and offers competitive comprehensive benefits and diverse development training programs that lead to building careers. At SPS we embrace the uniqueness of our employees and are committed to the fair and equal treatment of all people, applicants, and employees by promoting a culture of access, inclusion, equity and diversity. SPS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual and reproductive health choices, national origin, age, disability, genetics, military status, gender identity or expression, sexual orientation and/or any other status protected by applicable law. Colorado only: We accept applications for an expected minimum of 5 days from the date it is posted. The posting may remain open longer as needed to ensure a robust and inclusive applicant pool. To ensure a fair and authentic interview process, applicants may not use AI tools or any other form of real-time assistance during interviews. SPS team members may use transcription or note-taking technology solely to support accurate interview documentation. SPS offers reasonable accommodations in the hiring and employment process for individuals with disabilities. If you need assistance in the application or hiring process to accommodate a disability, you may request an accommodation at any time. To view our privacy policy, click on the link below: Data Privacy Statement Acknowledgement Section: By submitting an application, by hitting \"Submit Application\", you certify that the information contained in this application is true and complete. You attest to the fact that the answers provided are correct to the best of your knowledge and ability. You certify that you have not knowingly withheld any information that might affect your chances for hiring. You understand that any false information or omission (including any misstatement) on this application or on any document used to secure this employment can be grounds for rejection of application or, if you are employed by SPS can be grounds for immediate termination from this company.", "summaryDescription" : "Guest Ambassador (Top of the Rock - Rockefeller Center) at SPS-North America. Greet and welcome guests. Provide information about attractions", "postedDate" : "2026-06-15T23:20:23.447", "createdAt" : "2026-06-15T23:20:23.447", "lastUpdated" : "2026-06-16T07:39:01.359", "ingestTimestamp" : "2026-06-15T23:20:23.447", "mongoId" : "6a305713f292fd229cf33809", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 20000, "salaryAnnualMax" : 20000, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Rockefeller Center" ], "skillCount" : 1, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Hospitality", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6b2d74d8ee00a091092d", "title" : "Director of Data", "company" : "Moonfare", "industry" : "FinTech", "salary" : { "min" : 120000.0, "max" : 170000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Data in FinTech in Berlin, Germany, adjusted for seniority and company size." }, "location" : "Berlin, Germany", "locations" : [ "Berlin", "Germany" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T06:54:38.611", "fingerprint" : "4ee5b49aeacad8c0042bc805064c940aba8add750a17fa4513db7a7d9b57e388", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.moonfare.com/open-position/?gh_jid=7771431003", "externalId" : "7771431003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "experienceLevel" : "Director", "softSkillsList" : [ "Leadership", "Mentoring", "Critical thinking" ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Critical thinking" } ], "teamCollaboration" : "Cross-functional teams; Partner with Engineering; Partner with Product; Partner with business", "projectManagementSkills" : [ "Data strategy", "Roadmap planning" ], "domainKnowledge" : "Private equity; Financial services; Regulated environment; AI-driven operating model; Agentic capabilities", "domainList" : [ "private-equity", "financial-services", "regulated-environment", "ai-driven-operating-model", "agentic-capabilities" ], "domainSpecificKnowledge" : [ "Private equity", "Financial services", "Regulated environment", "AI-driven operating model", "Agentic capabilities" ], "communicationSkills" : "Executive presentations; Board-level reporting", "continuousLearning" : "Individual growth budget", "innovationCreativity" : "AI; Agentic systems", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Director of Data (m/f/d) Reporting to the CTO, you will own the data strategy and execution for Moonfare at a pivotal moment in our growth. We are building the infrastructure and intelligence layer that will power how we serve investors, operate as a business, and scale into new markets, and data is the foundation everything else depends on. You will inherit a capable team and a real mandate: to bring it together, raise the bar, and build a data function that is fit for where Moonfare is going, not just where it has been. The role demands someone who can hold the strategic vision and get into the technical detail, knowing when to lead from the front and when to elevate the people around them. In return, you get a rare scope, shaping how a fast-growing private equity platform thinks about, structures, and activates its data from the ground up. This role sits at the intersection of Engineering, Product, and the wider business, leading our combined Data Engineering and Analytics function. The team is 6 people across pipelines, analytics, and architecture who will come together under your leadership into one cohesive function with a shared mission. The team's work underpins how Moonfare makes decisions, serves its investors, and builds towards an AI-driven operating model, making this one of the highest-leverage functions in the business. You will: Define and execute the data strategy for Moonfare, building the platforms, pipelines, and governance that give the business a reliable, scalable, and intelligent data foundation to grow on. Bring 6 people across data engineering, analytics, and architecture into one cohesive team, setting the operating model, rituals, and standards that make the function more than the sum of its parts. Architect and build the infrastructure that sources, structures, and serves data across investment, investor relations, operations, and compliance use cases. Partner closely with Engineering and Product to make data the substrate that our AI and agentic capabilities are built on, and with the business to enable self-serve reporting and operational intelligence. Stay deep in the technical detail across architecture reviews, design decisions, and pipeline trade-offs, while also representing data credibly to executive stakeholders and the Board. Embed compliance and regulatory thinking into every layer of the platform, recognising the demands of operating in a regulated financial services environment. The next Moonfarian: You bring deep, hands-on expertise across data engineering, AI, architecture, and pipelines. You lead the strategy and get into the weeds with your team on the hardest technical problems, contributing directly rather than just directing from a distance. You've built or significantly evolved a modern data platform in a regulated financial services environment, and you understand what compliance, auditability, and data quality actually demand at the architecture level. You have a strong, opinionated point of view on what modern AI and agentic systems need from a data function, and you've put that thinking into practice in real products and platforms, not just on slides. You're an experienced people leader who has unified or scaled a multi-disciplinary data team, and can bring engineers, analysts, and architects together around a shared mission while knowing when to roll up your sleeves alongside them. You thrive in pressured, high-ambiguity scale-up environments and are energised by carrying both the strategic load and a meaningful share of the technical work. You're a credible partner to executives and cross-functional stakeholders, able to translate between business outcomes and technical reality. We can only accept applications from those eligible to live and work in Berlin. This is a hybrid role with office attendance required 4 days/week. Please note that we do not accept applications sent by email. You should submit your application directly through our careers website. Invest in Yourself: Ownership and Impact: You are empowered to bring ideas, make decisions, and see your work directly contribute to Moonfare's success. Transparent Environment: We believe in open communication. You will receive regular updates on company strategy, performance against our KPIs, and key business decisions. Personal Growth: We support your development with an individual growth budget of €1,500 or 2% of your base salary (whichever is higher). Invest in Your Future: We support your long-term financial goals with a company pension scheme, providing a 20% employer contribution. Relax and Recharge: You start with 25 vacation days and you’ll receive one additional day for each year of tenure, up to a maximum of 30 days. Daily Lunch: Enjoy a free lunch every day that you are in the Berlin office, with a weekly changing menu that includes salads, curries, pastas, and a variety of vegan and vegetarian options. Subsidised Public Transport: We support your commute with a monthly subsidy for the Deutschland job ticket, making your travel easier and more affordable. Fitness and Wellbeing: Stay active with a subsidised Urban Sports Club membership, giving you flexible access to a wide variety of sports and wellness activities across Germany. A Culture of Excellence: Join a team of ambitious, smart, and committed professionals who are passionate about revolutionising private market investing. Our Values: Our clients come first, Moonfare comes second, and we prioritise ourselves third - Client-Centric Focus. Putting clients first means creating value for them is essential. Placing Moonfare second signifies that our individual professional future at Moonfare depends on the company's commercial success. Prioritising ourselves third reflects our humility in putting clients and Moonfare before personal interests. We pursue excellence and honor our promises - Commitment to Excellence. We hold ourselves to the highest standards, taking responsibility for our failures, and celebrating our successes. We commit to deadlines and stick to them and we learn from our mistakes. We are here to win and to celebrate our collective achievements - Win together. We are mission-focused and think and act like owners. We exemplify the attitude we expect and each of us commits to do what it takes to succeed. We foster personal growth but each of us earns our place as a Moonfarian through merit - Growth and Merit. We hire, retain, and develop exceptional people and invest in empowering them to excel. We must all earn our place at the table every day. We understand the important role that diversity plays in our success. Different backgrounds, experiences and ideas push us further and raise the bar. We’re committed to developing an inclusive and safe culture where everyone — regardless of colour, race, religion, sex, origin, sexuality, disability, marital status, citizenship or gender identity — knows that they are an integral part of the team and can bring their full potential to their work.", "summaryDescription" : "Director of Data at Moonfare", "postedDate" : "2026-06-14T03:21:28.216", "createdAt" : "2026-06-14T03:21:28.216", "lastUpdated" : "2026-06-15T06:54:38.611", "ingestTimestamp" : "2026-06-14T03:21:28.216", "mongoId" : "6a2c6b2d74d8ee00a091092d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Leadership", "Mentoring", "Critical thinking", "Data strategy", "Roadmap planning", "Private equity", "Financial services", "Regulated environment", "AI-driven operating model", "Agentic capabilities", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305b87f292fd229cf5ebc1", "title" : "Director for Business Development and Sales", "salary" : { "min" : 175000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Business Development and Sales in Eagan, United States, adjusted for seniority and full-time employment." }, "location" : "Eagan, MN", "locations" : [ "Eagan, MN" ], "timestamp" : "2026-06-16T08:02:54.268", "fingerprint" : "d9a0d458e382774db383a084593c147817788055e9d38d615150bd866e3bd867", "source" : "jazzhr", "language" : "en", "externalId" : "sfLZGQ5Ka9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Eagan", "state" : "Minnesota", "country" : "United 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: "Healthcare", "salary" : { "min" : 220000.0, "max" : 320000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Director of Data, BI and Engineering in Farmington Hills, United States, adjusted for the healthcare industry and director-level experience." }, "location" : "Farmington Hills, Michigan, United States", "locations" : [ "Farmington Hills", "Michigan", "United States" ], "timestamp" : "2026-06-15T07:45:26.563", "fingerprint" : "777d67381ceeed3d322e97df3908d8d5a6ede7c8b5bc9d3d7bc75953da663534", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/centriaautism/jobs/8568831002", "externalId" : "8568831002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Farmington Hills", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.4853125,-83.3771553" } ], "locationText" : "Farmington Hills, Michigan, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 15, "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Thought leadership", "Data modeling", "Statistical analysis", "Data mining", "Predictive algorithms", "AI generated code", "Microservices architecture" ], "hardSkillsList" : [ "KPI development", "Operational dashboards", "Visualization creation", "Predictive analytics", "Self-service reporting", "Data governance", "Data preparation", "Data integration", "Data warehousing" ], "softSkillsList" : [ "Leadership", "Mentoring", "Negotiation", "Problem-solving" ], "hardSkills" : [ { "name" : "KPI development", "level" : "intermediate" }, { "name" : "Operational dashboards", "level" : "intermediate" }, { "name" : "Visualization creation", "level" : "intermediate" }, { "name" : "Predictive analytics", "level" : "intermediate" }, { "name" : "Self-service reporting", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data preparation", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Negotiation" }, { "name" : "Problem-solving" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Establish data-driven KPI, Establish Operational Performance dashboard, Lead BI competence center, Accelerate visualization creation, Foundational analytics, Advanced analytics, Predictive analytics, Establish ML roadmap, Establish AI roadmap, Establish GPT roadmap, Establish RAG roadmap, Data exploration, Data visualization, Data reporting, Establish self-service reporting framework, Data delivery, Information delivery, Use RAG, Improve RAG models, Data Management, Data governance, Data preparation, Data integration, Data warehousing, Machine Learning, Ensure daily functions completed, Communicate job planning, Monitor job performance, Appraise job performance, Manage high-performing team, Coach high-performing team, Develop high-performing team, Deliver best practice results, Deliver added value, Promote high standards, Understand expected standards, Understand expected behaviors", "teamCollaboration" : "Key stakeholders; Internal staff; Partners; Clients", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Healthcare industry; AI applications", "domainList" : [ "healthcare-industry", "ai-applications" ], "domainSpecificKnowledge" : [ "Healthcare industry", "AI applications" ], "toolProficiency" : [ "Microsoft Office Suite", "G Suite", "RAG models" ], "communicationSkills" : "Written communication; Verbal communication; Presentation skills", "problemSolvingSkills" : "Problem-solving capabilities", "specialRequirements" : "Office hours, Additional time required, Occasional shifts required", "outcomesObjectives" : "Transformational impact; Deliver information platforms; Deliver analytics platforms; Deliver solutions to stakeholders; Meet agreed objectives; Achieve best practice results; Deliver added value; Continuous improvement", "qualificationsBasic" : "Bachelor's in computer science, 15+ years experience, 3+ years leadership capacity, SQL proficiency, Data modeling experience", "qualificationsPreferred" : "MBA or master's degree, Healthcare industry experience, PhD preferred, Cloud platform certs", "workSiteFlexibility" : "Onsite", "rawDescription" : "Position Summary The Senior Director of Data, BI and Engineering has primary responsibility for setting the strategy and vision and overseeing the ongoing duties of the Business Intelligence/Data Analytics (BI/DA) Team. This role will be responsible for all strategic, tactical, operational, financial, human, and technical resource managerial responsibilities associated with BI/DA. The role is ideal for ambitious and self-motivated individuals who want to build a new team that can have a transformational impact in a fast-growing enterprise. The Senior Director of Data, BI and Engineering will lead their teams by establishing and executing a vision for delivering information and analytics platforms and solutions to the business’s key stakeholders, including internal staff, partners, and clients. Duties and Responsibilities The below reflects the essential functions considered necessary for this role and shall not be construed as a detailed description of all work requirements inherent in the job or assigned by supervisory personnel. This job description is used as a guide only and not inclusive of all responsibilities and job duties. Establish data-driven KPI and Operational Performance dashboard across the enterprise. Lead the BI competence center/COE/Claude skills for accelerating visualization creation. Foundational analytics Advanced/predictive analytics Claude skills Establishing a BI/Data/GPT/RAG/Machine Learning roadmap. Data exploration, visualization, reporting Self-service reporting framework Data/Information delivery Use of RAG and improvement of the RAG models Data Management Data governance Data preparation – sources and integration Data warehousing Machine Learning Ensuring the daily functions of the department are completed by communicating job expectations; planning, monitoring, and appraising job results; Managing, coaching, and developing a high-performing team that meets agreed objectives and delivers best practice results, added value, and continuous improvements; Consistently promote high standards through personal example and rollout through the team so that each team member understands the standards and behaviors expected of them. Qualifications Education/Licenses A degree in computer science, mathematics, operations, management, or a related field is required MBA or a master’s degree would be a significant plus Work Experience 15+ years (and 3+ years in a leadership capacity) of progressively responsible experience in a directly related area, during which both professional capabilities have been clearly demonstrated Industry/domain skills in the healthcare industry will be a plus BI/Data Analytics related skills: Thought leadership on advancing BI/DA within the organization Expertise/experience in the use of BI/Data Analytics platform Data modeling – logical and physical; working knowledge of multidimensional data modeling, such as star schemas, snowflakes, denormalized models, and handling “slow-changing” dimensions/attributes Some experience in data science, statistical analysis, data mining, and predictive algorithms, including POC development Experience and understanding of a wide variety of analytical processes Experience with AI generated code, specifically Claude Experience with RAG and Machine Learning applications Azure cloud and functions experience, including microservices architecture Equipment and Technology Requirements Advanced computer skills Advanced knowledge of laptop/desktop PC Proficiency in Microsoft Office Suite Proficiency in G Suite Other Competency Requirements Ability to follow written instructions Ability to use computers and computer/software programs Ability to communicate expressively and receptively Knowledge and Skills Experience interacting with C-level executives. Excellent written and verbal communication skills. Excellent presentation skills. Proven ability to establish and articulate a vision, set goals, develop and execute strategies, and track and measure results. Best-in-class problem-solving capabilities and the ability to address a diverse set of business requirements. Proven ability to build and motivate a team to achieve well-communicated expectations. Proven robust negotiating and consensus-building abilities. Proven skills to work effectively across internal functional areas in ambiguous situations. Working Conditions Centria's office hours are Monday through Friday from 8:30 AM – 6:00 PM. Additional time or occasional shifts in schedule may be required as dictated by the needs of the business for projects and meetings. Physical Demands While performing the duties of this job, physical requirements such as bending, reaching, lifting, pushing, or pulling up to 30 pounds may be required. This role will require sitting most of the day as well as walking and standing periodically. This role may require close visual acuity on computer screens or monitors and the ability to analyze data and figures on a screen. We are an equal opportunity employer and value diversity at our Company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, Veteran status, or disability status. This job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities, or working conditions associated with the position. Centria reserves the right to amend this job description at any time, with or without written notice.", "summaryDescription" : "Senior Director of Data, BI and Engineering at Centria Autism. Skills: Data science, Data engineering, Machine learning, Business intelligence. Establish data-driven KPI. Establish Operational Performance dashboard", "postedDate" : "2026-06-13T22:10:40.916", "createdAt" : "2026-06-13T22:10:40.916", "lastUpdated" : "2026-06-15T07:45:26.563", "ingestTimestamp" : "2026-06-13T22:10:40.916", "mongoId" : "6a2c904474d8ee00a097fe9e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 320000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "KPI development", "Operational dashboards", "Visualization creation", "Predictive analytics", "Self-service reporting", "Data governance", "Data preparation", "Data integration", "Data warehousing", "Leadership", "Mentoring", "Negotiation", "Problem-solving", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Thought leadership", "Data modeling", "Statistical analysis", "Data mining", "Predictive algorithms", "AI generated code", "Microservices architecture", "Roadmap planning", "Healthcare industry", "AI applications", "Microsoft Office Suite", "G Suite", "RAG models" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5e3b9bc74574cb677a87", "title" : "Model Based SW Development for TEV (R)", "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 Model Based SW Development role in the Automotive industry in Bangalore, India, adjusted for company size and specific role focus." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "'Embassy Crest' Plot No 5, , EPIP Zone, Phase 1, " ], "timestamp" : "2026-06-15T07:49:20.079", "fingerprint" : "e3baa843d776a57081b4a67bfe4d793d97ef42e7e1acad0d7c46e26b5831f3e8", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=881767", "externalId" : "881767", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Algorithm development", "professionalSkills" : [ "System design", "Functional design", "Requirement analysis" ], "hardSkillsList" : [ "System integration", "Problem solving" ], "softSkillsList" : [ "Interpersonal skills", "Communication skills", "Collaborative mindset", "Self-driven", "Innovation-oriented" ], "hardSkills" : [ { "name" : "System integration", "level" : "intermediate" }, { "name" : "Problem solving", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Interpersonal skills" }, { "name" : "Communication skills" }, { "name" : "Collaborative mindset" }, { "name" : "Self-driven" }, { "name" : "Innovation-oriented" } ], "majorSkills" : "Model-based SW development, Algorithm development, System integration", "majorSkillsList" : [ "Model-based SW development", "Algorithm development", "System integration" ], "coreResponsibilities" : "Analyze system requirements, Interpret system requirements, Optimize designs, Design functions, Develop functions, Validate algorithms, Evaluate system-level implications, Ensure alignment with architecture, Conduct design reviews, Conduct specification reviews, Conduct artifact reviews, Plan development activities, Execute development activities, Determine technical solutions, Execute technical solutions, Troubleshoot production issues, Troubleshoot field issues, Provide resolutions, Contribute to innovation, Propose process optimization, Implement process optimization, Implement efficiency improvements", "teamCollaboration" : "Peer groups; Global teams; Cross-functional stakeholders", "projectManagementSkills" : [ "Project milestones" ], "domainKnowledge" : "Automotive engineering; Top End Vehicles (TEV); Vehicle architecture", "domainList" : [ "automotive-engineering", "top-end-vehicles-tev", "vehicle-architecture" ], "domainSpecificKnowledge" : [ "Automotive engineering", "Top End Vehicles (TEV)", "Vehicle architecture" ], "communicationSkills" : "Communication skills", "continuousLearning" : "Continuous learning opportunities", "innovationCreativity" : "Innovation; Patents; Publications", "problemSolvingSkills" : "Problem-solving skills; Troubleshooting", "qualificationsBasic" : "Requirement analysis expertise, Functional design expertise, Algorithm development experience, System-level integration experience, Understand end-to-end system behavior, Conduct technical reviews, Ensure design quality, Analytical skills, Problem-solving skills, Work independently, Handle production/field issues, Quick turnaround solutions", "qualificationsPreferred" : "Experience on TEV platforms, Experience on premium vehicle segments, End-to-end automotive product development lifecycle exposure, Demonstrated innovation contributions, Experience working with global teams, Experience with cross-functional stakeholders", "remoteFriendly" : false, "rawDescription" : "About MBRDI: Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. Key Responsibilities: • Analyze and interpret system requirements and optimize designs to meet functional and performance targets. • Design and develop functions based on requirements, including algorithm development and validation. • Evaluate system-level implications of functions and ensure alignment with overall vehicle architecture. • Conduct design, specification, and artifact reviews within peer groups to ensure quality and compliance. • Independently plan and execute development activities for Top End Vehicles (TEV) in alignment with project milestones. • Apply sound engineering judgment to determine and execute appropriate technical solutions post review. • Troubleshoot production and field-related issues and provide timely, effective resolutions. • Contribute tangibly to innovation across product, process, business, publications, or patents. • Propose and implement ideas for process optimization and efficiency improvements. Required Skills and Experience: • Strong expertise in requirement analysis and functional design. • Experience in algorithm development and system-level integration. • Ability to understand end-to-end system behavior and functional impacts. • Experience in conducting technical reviews and ensuring design quality. • Strong analytical and problem-solving skills with the ability to work independently. • Experience in handling production/field issues with quick turnaround solutions. • Good interpersonal and communication skills with a collaborative mindset. • Self-driven, proactive, and innovation-oriented approach. Educational Qualifications: • Bachelor’s / Master’s degree in Electrical / Electronics / Automotive or related discipline. Preferred Qualifications (Good to Have): • Experience working on Top End Vehicle (TEV) platforms or premium vehicle segments. • Exposure to end-to-end automotive product development lifecycle. • Demonstrated innovation contributions (patents, publications, process improvements). • Experience working with global teams and cross-functional stakeholders. Why Join Us? • Be part of a purpose-driven organization that’s shaping the future of mobility. • Work on advanced technologies for premium vehicle platforms. • Thrive in a collaborative, diverse, and inclusive environment. • Access world-class infrastructure and continuous learning opportunities. Equal Opportunity Statement: At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Model Based SW Development for TEV (R) at Mercedes-Benz Research and Development India. Skills: Model-based SW development, Algorithm development, System integration. Analyze system requirements. 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With the emergence of agentic programming, we think formal methods will play a major role in providing feedback for agents and helping validate agent-generated code. Our vision is to make formal methods as useful a tool for building software as type systems are for us today, both by leveraging existing tools and technology, and pursuing novel approaches. We're looking to build a new team with engineers who have: Deep experience with formal methods. There's no specific checklist. We're broadly interested in people with backgrounds in interactive proof assistants, automated theorem provers, static analysis, refinement types, program logics, property-based testing, and related areas. Top-notch software engineering skills. We're looking for people who can turn cutting-edge research ideas into practical tools, and get these tools in use across the firm and beyond. Strong interpersonal skills. Software engineering at Jane Street is highly collaborative, and we're looking for people who can work effectively in small, close-knit teams. We are interested in exploring a wide variety of approaches. While we are eager to integrate new tools into our existing infrastructure, no previous experience with OCaml or functional programming is required. Why do it here? The whole world is thinking about what agents mean for the future of programming, and there's no shortage of efforts trying to mix formal methods and agents. But think there are things about Jane Street that make this a unique opportunity. First, we have deep control of the language we're using, which lets us shape it into a better home for proof-oriented techniques. We can adjust the language and the proof system at the same time in ways that aren't possible when you have to take the language as given. Second, we have a community of programmers who are eager to adopt new tools, and have the right intellectual toolkit to do so. That community is an unparalleled source of both feedback and leverage for the work we do here. We're in the early stages of building this team, with an enormous amount of work ahead of us, and we'd love you to be a part of it. If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.", "summaryDescription" : "Formal Methods Engineer at Jane Street. Skills: Formal methods, Software engineering. Establish a new Formal Methods team. Provide feedback for agents", "postedDate" : "2026-06-12T22:24:58.847", "createdAt" : "2026-06-12T22:24:58.847", "lastUpdated" : "2026-06-15T02:29:56.348", "ingestTimestamp" : "2026-06-12T22:24:58.847", "mongoId" : "6a2c5f4474d8ee00a08ea7c0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Formal methods", "Interactive proof assistants", "Automated theorem provers", "Static analysis", "Refinement types", "Program logics", "Property-based testing", "Software engineering", "Research", "Agentic programming" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software-engineering", "dataQualityScore" : 0.7777778, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c5f4474d8ee00a08ea7bf", "title" : "Formal Methods Engineer", "company" : "Jane Street", "salary" : { "min" : 200000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Formal Methods Engineer in New York, adjusted for the technology industry and a leading quantitative trading firm." }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T01:07:24.569", "fingerprint" : "a0e13377f650bcdd9a444af415b6ed5f5df9a52f17bc244170f67aa036962f94", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/janestreet/jobs/8585303002", "externalId" : "8585303002", "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", "technicalSkills" : "Formal methods, Interactive proof assistants, Automated theorem provers, Static analysis, Refinement types, Program logics, Property-based testing", "professionalSkills" : [ "Software engineering", "Research" ], "hardSkillsList" : [ "Formal methods", "Interactive proof", "Theorem proving", "Static analysis", "Refinement types", "Program logics", "Property-based testing" ], "hardSkills" : [ { "name" : "Formal methods", "level" : "intermediate" }, { "name" : "Interactive proof", "level" : "intermediate" }, { "name" : "Theorem proving", "level" : "intermediate" }, { "name" : "Static analysis", "level" : "intermediate" }, { "name" : "Refinement types", "level" : "intermediate" }, { "name" : "Program logics", "level" : "intermediate" }, { "name" : "Property-based testing", "level" : "intermediate" } ], "majorSkills" : "Formal methods, Software engineering, Agentic programming", "majorSkillsList" : [ "Formal methods", "Software engineering", "Agentic programming" ], "coreResponsibilities" : "Establish a new Formal Methods team, Provide feedback for agents, Validate agent-generated code, Make formal methods useful, Leverage existing tools, Pursue novel approaches, Turn research ideas into practical tools, Get tools in use across the firm", "teamCollaboration" : "Small, close-knit teams", "domainKnowledge" : "Agentic programming", "domainList" : [ "agentic-programming" ], "domainSpecificKnowledge" : [ "Agentic programming" ], "innovationCreativity" : "Novel approaches", "qualificationsBasic" : "Deep experience with formal methods, Top-notch software engineering skills, Interpersonal skills", "qualificationsPreferred" : "Previous experience with OCaml, Previous experience with functional programming", "rawDescription" : "About the Position We're looking for software engineers and researchers to establish a new Formal Methods team at Jane Street. With the emergence of agentic programming, we think formal methods will play a major role in providing feedback for agents and helping validate agent-generated code. Our vision is to make formal methods as useful a tool for building software as type systems are for us today, both by leveraging existing tools and technology, and pursuing novel approaches. We're looking to build a new team with engineers who have: Deep experience with formal methods. There's no specific checklist. We're broadly interested in people with backgrounds in interactive proof assistants, automated theorem provers, static analysis, refinement types, program logics, property-based testing, and related areas. Top-notch software engineering skills. We're looking for people who can turn cutting-edge research ideas into practical tools, and get these tools in use across the firm and beyond. Strong interpersonal skills. Software engineering at Jane Street is highly collaborative, and we're looking for people who can work effectively in small, close-knit teams. We are interested in exploring a wide variety of approaches. While we are eager to integrate new tools into our existing infrastructure, no previous experience with OCaml or functional programming is required. Why do it here? The whole world is thinking about what agents mean for the future of programming, and there's no shortage of efforts trying to mix formal methods and agents. But think there are things about Jane Street that make this a unique opportunity. First, we have deep control of the language we're using, which lets us shape it into a better home for proof-oriented techniques. We can adjust the language and the proof system at the same time in ways that aren't possible when you have to take the language as given. Second, we have a community of programmers who are eager to adopt new tools, and have the right intellectual toolkit to do so. That community is an unparalleled source of both feedback and leverage for the work we do here. We're in the early stages of building this team, with an enormous amount of work ahead of us, and we'd love you to be a part of it.", "summaryDescription" : "Formal Methods Engineer at Jane Street. Skills: Formal methods, Software engineering, Agentic programming. Establish a new Formal Methods team. Provide feedback for agents", "postedDate" : "2026-06-12T22:14:18.411", "createdAt" : "2026-06-12T22:14:18.411", "lastUpdated" : "2026-06-15T01:07:24.569", "ingestTimestamp" : "2026-06-12T22:14:18.411", "mongoId" : "6a2c5f4474d8ee00a08ea7bf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Formal methods", "Interactive proof", "Theorem proving", "Static analysis", "Refinement types", "Program logics", "Property-based testing", "Software engineering", "Agentic programming", "Research" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software-engineering", "dataQualityScore" : 0.7777778, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305713f292fd229cf33830", "title" : "Retail Associate (Top of the Rock - Rockefeller Center)", "company" : "SPS-North America", "industry" : "Retail", "salary" : { "min" : 36000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Retail Associate in New York, with adjustments for the retail industry and temporary employment type." }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-16T08:56:41.104", "fingerprint" : "b684300dc1e4062ef6dae4b93d9414f7478222c896a0987f3fec67340ab354ae", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/spsnorthamerica/jobs/5259725008", "externalId" : "5259725008", "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" : "TEMPORARY", "minimumEducation" : "High School", "coreResponsibilities" : "Provide excellent customer service, Assist customers with product selection, Process sales transactions accurately, Maintain store appearance and organization, Achieve sales targets and goals, Handle customer inquiries and complaints, Operate point-of-sale systems, Restock merchandise as needed", "outcomesObjectives" : "Achieve sales targets and goals", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "#parttime #temporary Reports To: Client Services Supervisor, Client Services Manager, or equivalent leadership Schedule: Monday–Sunday| 7:00 AM – 3:00 PM / 3:00 PM – 12:00 AM (Day and Mid shift) Create Unforgettable Guest Experiences Top of the Rock isn’t just an observation deck; it’s one of New York City’s most iconic attractions. We’re seeking enthusiastic, guest-focused Retail Associates to bring our world-class experience to life. As the face of Top of the Rock, you’ll help create memorable moments for visitors by providing exceptional service, anticipating needs, and delivering a seamless retail experience. What You'll Do Assist guests with merchandise selection and complete transactions accurately Support sales goals and KPIs by engaging guests and taking ownership of your performance Maintain attractive signage, displays, and seasonal merchandising Restock and organize inventory, ensuring a clean, professional sales floor Operate POS systems and troubleshoot minor issues Support inventory control and loss prevention initiatives Assist with special projects and additional duties as needed Work independently and collaboratively to deliver a top-tier guest experience What You Bring Friendly, approachable, and customer-service driven Strong attention to detail and organizational skills Ability to multitask in a fast-paced environment Effective communication and teamwork skills Prior retail or merchandising experience preferred Qualifications High School Diploma or equivalent 1–2 years of retail or customer-facing experience preferred Flexible availability, including weekends and holidays Basic computer proficiency or ability to quickly learn POS systems Professional appearance and adherence to company standards Why This Role Matters You are more than a Retail Associate — you are the face of Top of the Rock. Every interaction, every smile, and every thoughtful service moment contributes to creating lasting memories for visitors from around the world. Compensation: The expected compensation is an estimate, and the final offer will depend on skills, experience, and other job-related factors. Use of Artificial Intelligence (AI): No AI or automated decision-making tools are used to screen, assess, or select candidates for this role. Our company uses the Greenhouse applicant tracking system, which does not apply AI in these parts of the hiring process. Vacancy Status: This posting is for an existing vacancy. Pay Range $18—$18 USD WHAT WE OFFER Career Growth: An opportunity to enter a job that allows you to learn new skills or use a variety of them that may lead you to uncover other career opportunities! Learning & Development: At SPS, we promote a work culture of learning so that you can develop to be the best at what you do! We Recognize Talent: We offer a variety of recognition programs for all levels of employees! Benefit Offerings: Medical, Dental, Vision, HCFSA, DCFSA, HSA, Commuter Transit and Parking, Supplemental Life Insurance, Accident Insurance, Critical Illness, Hospital Indemnity, Legal Program, Identify Theft Protection, Pet Discounts, Pet Insurance, Group Home and Auto Insurance, EAP, Short Term Disability, Life Insurance, Education Discounts, 401k w/ matching, Entertainment Discounts, & Paid Time Off. Note: Please inquire with the Human Resources team for benefit offerings per role as regular positions that routinely are under 30 hours/week may have a different benefit offering. About SPS SPS is an award-winning employer of choice offering outsourcing solutions that leverage Intelligent Automation (Artificial Intelligence & Robotic Process Automation) in more than 22 countries across the globe. In North America, our services include Mailroom Management (both physical and digital), Office Services such as Reception, Lobby Concierge and Conference Room Management in addition to Document Processing Services utilizing leading edge technologies. Our clients today are companies in sectors such as banking, insurance, legal, higher education, advertising and other professional services, including many Fortune 500 companies. SPS is committed to delivering high caliber outsourcing experience to our clients and offering our employees challenging and exciting career opportunities throughout the North America region and globally. SPS is committed to investing in the professional development of our employees and offers competitive comprehensive benefits and diverse development training programs that lead to building careers. At SPS we embrace the uniqueness of our employees and are committed to the fair and equal treatment of all people, applicants, and employees by promoting a culture of access, inclusion, equity and diversity. SPS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual and reproductive health choices, national origin, age, disability, genetics, military status, gender identity or expression, sexual orientation and/or any other status protected by applicable law. Colorado only: We accept applications for an expected minimum of 5 days from the date it is posted. The posting may remain open longer as needed to ensure a robust and inclusive applicant pool. To ensure a fair and authentic interview process, applicants may not use AI tools or any other form of real-time assistance during interviews. SPS team members may use transcription or note-taking technology solely to support accurate interview documentation. SPS offers reasonable accommodations in the hiring and employment process for individuals with disabilities. If you need assistance in the application or hiring process to accommodate a disability, you may request an accommodation at any time. To view our privacy policy, click on the link below: Data Privacy Statement Acknowledgement Section: By submitting an application, by hitting \"Submit Application\", you certify that the information contained in this application is true and complete. You attest to the fact that the answers provided are correct to the best of your knowledge and ability. You certify that you have not knowingly withheld any information that might affect your chances for hiring. You understand that any false information or omission (including any misstatement) on this application or on any document used to secure this employment can be grounds for rejection of application or, if you are employed by SPS can be grounds for immediate termination from this company.", "summaryDescription" : "Retail Associate (Top of the Rock - Rockefeller Center) at SPS-North America. Provide excellent customer service. Assist customers with product selection", "postedDate" : "2026-06-15T23:21:25.403", "createdAt" : "2026-06-15T23:21:25.403", "lastUpdated" : "2026-06-16T08:56:41.104", "ingestTimestamp" : "2026-06-15T23:21:25.403", "mongoId" : "6a305713f292fd229cf33830", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 36000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306ca6f292fd229cfd5243", "title" : "Director of Health and Wellness", "company" : "Senior Lifestyle", "industry" : "Hospital And Health Care", "salary" : { "min" : 155000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Health and Wellness in North Wales, United States, adjusted for industry and company size." }, "location" : "North Wales, PA, United States", "locations" : [ "North Wales", "PA", "United States" ], "certifications" : [ "LPN/LVN or RN license" ], "timestamp" : "2026-06-16T10:05:20.867", "fingerprint" : "84387643cb52efec6e1456a0bbf8d465f79fd2846021539b8cecd8378852ac4e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SeniorLifestyle1/744000132220246-director-of-health-and-wellness", "externalId" : "744000132220246", "industryFunction" : { }, "structuredLocations" : [ { "city" : "North Wales", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.2109404,-75.2782317" } ], "locationText" : "North Wales, Pennsylvania, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 15, "experienceLevel" : "director", "professionalSkills" : [ "Clinical budget management", "Resident assessment", "Care planning", "Staff training", "Regulatory compliance", "Documentation systems management" ], "hardSkillsList" : [ "Clinical documentation", "Budget management", "Staff scheduling", "Resident assessment", "Care plan development", "Staff training programs" ], "hardSkills" : [ { "name" : "Clinical documentation", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" }, { "name" : "Staff scheduling", "level" : "intermediate" }, { "name" : "Resident assessment", "level" : "intermediate" }, { "name" : "Care plan development", "level" : "intermediate" }, { "name" : "Staff training programs", "level" : "intermediate" } ], "majorSkills" : "Resident care standards, Regulatory compliance", "majorSkillsList" : [ "Resident care standards", "Regulatory compliance" ], "coreResponsibilities" : "Direct delivery of care, Coordinate family/resident care conferences, Serve as liaison between residents, families, and staff, Ensure residents are at appropriate levels of care, Manage clinical budget line items, Monitor documentation systems for timeframes, Write and review resident assessments/evaluations, Review resident care-plans, Assess potential residents for Assisted Living level, Perform professional and timely assessments, Schedule and conduct new resident orientation, Provide, plan, schedule, and monitor staff training, Manage and coordinate nursing and assisted living staff, Communicate resident health and safety information, Oversee staff schedules and daily assignments, Maintain a safe working environment, Ensure compliance with state regulatory requirements, Complete and file concern and incident reports, Conduct follow-up on incident reports, Assist in mock surveys, Perform other duties as assigned", "teamCollaboration" : "Liaison between residents, families, and staff; Work with residents, families, and staff; Communicate with staff and families", "domainKnowledge" : "Senior living resident care; Mandatory reporting to State", "domainList" : [ "senior-living-resident-care", "mandatory-reporting-to-state" ], "domainSpecificKnowledge" : [ "Senior living resident care", "Mandatory reporting to State" ], "documentationSkills" : "Clinical documentation; Resident assessments; Care-plans; Incident reports", "continuousLearning" : "Maintain CEU requirements; Attend required training; Attend in-service training; Attend staff meetings", "specialRequirements" : "24/7 on-call clinical support, Clean driving record", "qualificationsBasic" : "LPN/LVN or RN license required, Managed a clinical team, Experience with EMR/EHR systems, Valid driver's license", "qualificationsPreferred" : "Managed and developed complex teams, Hospital setting experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you have HEART? We are looking for individuals who can embrace our mission to purposely brighten and enrich the lives of those we serve with HEART; Hospitality, Excellence, Appreciation, Respect & Teamwork. This position is responsible for directing the Health and Wellness Program and ensuring that Senior Lifestyle standards and state requirements for resident care are met. The Director of Health and Wellness will direct staff, ensure regulatory compliance and be responsible for the management of the clinical budget. * Directly oversee the delivery of care to Assisted Living residents to ensure that emotional, physical, psychological and safety needs are met through all program services and activities. * Coordinate, along with the Executive Director, family/resident care conferences and serve as a direct liaison between residents, families, and staff. Work with residents, families, and other staff to ensure that residents are at appropriate levels of care. * Manage labor costs, supplies, and other line items in clinical budget. * Monitor documentation systems to ensure that all regulatory timeframes for review of assessments and service plans are met and that resident needs are met. Write and review residents’ assessments/evaluations and care-plans with appropriate staff. * Assess/evaluate potential residents for Assisted Living level of care. This may involve assessing/evaluating potential residents in their home or another healthcare setting; must be able to drive to location and perform assessment/evaluation professionally and timely if necessary. Schedule and conduct new resident orientation for all Assisted Living Residents. * Provide, plan, schedule, and monitor staff training programs and in-services for the Assisted Living staff including statutory or regulatory required training. Attend all required training, in-service, and staff meetings. * Manage and coordinate the work of all nursing and other assisted living staff, communicating pertinent resident health and safety information. This includes overseeing and/or completing staff schedules monthly and daily assignments. * Strive to maintain a safe working environment through the prevention of accidents, the preservation of equipment, and the achievement of safe working practices. * Ensure compliance with all state regulatory requirements including mandatory reporting to State. Ensure that all concern and incident reports are completed, filed and that follow-up is conducted appropriately. * Assist and/or perform in mock surveys. * Maintain a positive and professional demeanor toward residents, visitors, families, and co-workers while adhering to all policies, standards and procedures of Company. * Require 24/7 on-call clinical support. * Perform other duties as assigned. ## Qualifications * Managed a clinical team in a senior living or hospital setting. * LPN/ LVN or RN license required. * Must maintain CEU and other state requirements for the position. * Able to manage multiple high-level tasks such as scheduling staff; scheduling care conferences and maintaining communication with staff and families in a professional, positive manner. * Managed and developed complex teams. * Experience with EMR/EHR clinical documentation systems. * Exude energy, passion with a hospitality-focused mindset. * A passion for serving seniors and growing teams. * Always maintain a positive and friendly demeanor toward the residents and your co-workers. * Technology savvy and ability to adapt to a fast-paced environment. * Self-awareness organized and time management skills. * Must have a valid driver’s license with a clean driving record. ## Additional Information Senior Lifestyle offers a comprehensive benefits plan to eligible team members including health, dental, vision, retirement benefits, short-term disability, long-term disability, and paid time off. All Senior Lifestyle positions are eligible to use DailyPay, an application that allows you to access your earned but unpaid wages before your next payday. Senior Lifestyle requires that all employees provide proof of COVID-19 vaccination unless exempt due to medical, religious, or personal beliefs. Government requirements or exclusions may apply.", "summaryDescription" : "Director of Health and Wellness at Senior Lifestyle. Skills: Resident care standards, Regulatory compliance. Direct delivery of care. Coordinate family/resident care conferences", "postedDate" : "2026-06-15T14:37:49.000", "createdAt" : "2026-06-16T00:14:48.543", "lastUpdated" : "2026-06-16T10:05:20.867", "ingestTimestamp" : "2026-06-16T00:14:48.543", "mongoId" : "6a306ca6f292fd229cfd5243", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Clinical documentation", "Budget management", "Staff scheduling", "Resident assessment", "Care plan development", "Staff training programs", "Resident care standards", "Regulatory compliance", "Clinical budget management", "Care planning", "Staff training", "Documentation systems management", "Senior living resident care", "Mandatory reporting to State", "LPN/LVN or RN license" ], "skillCount" : 15, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305568f292fd229cf1f3da", "title" : "Director of Health and Wellness", "company" : "Senior Lifestyle", "industry" : "Hospital And Health Care", "salary" : { "min" : 155000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Health and Wellness in North Wales, United States, adjusted for industry and company size." }, "location" : "North Wales, PA, United States", "locations" : [ "North Wales", "PA", "United States" ], "certifications" : [ "LPN/LVN license", "RN license", "CEU requirements" ], "timestamp" : "2026-06-16T10:03:25.749", "fingerprint" : "42a02e3177205f93f6770a75e1f45924a0b68fe57bdfa9192a2b4595721ca0ea", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SeniorLifestyle1/744000132220246-director-of-health-and-wellness", "externalId" : "744000132220246", "industryFunction" : { }, "structuredLocations" : [ { "city" : "North Wales", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.2109404,-75.2782317" } ], "locationText" : "North Wales, Pennsylvania, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 15, "experienceLevel" : "director", "technicalSkills" : "EMR, EHR", "professionalSkills" : [ "Clinical budget management", "Resident assessment", "Care plan development", "Regulatory compliance", "Incident reporting", "Mock surveys" ], "hardSkillsList" : [ "Clinical documentation", "Care coordination", "Budget management", "Staff scheduling" ], "hardSkills" : [ { "name" : "Clinical documentation", "level" : "intermediate" }, { "name" : "Care coordination", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" }, { "name" : "Staff scheduling", "level" : "intermediate" } ], "majorSkills" : "Resident care standards, Clinical budget management", "majorSkillsList" : [ "Resident care standards", "Clinical budget management" ], "coreResponsibilities" : "Direct delivery of care, Coordinate family/resident care conferences, Serve as liaison between residents, families, staff, Ensure residents are at appropriate care levels, Manage clinical budget line items, Monitor documentation systems, Review assessments and service plans, Write resident assessments/evaluations, Review resident care-plans, Assess potential residents for Assisted Living, Perform resident assessments professionally and timely, Schedule new resident orientation, Conduct new resident orientation, Plan staff training programs, Schedule staff training programs, Monitor staff training programs, Provide statutory or regulatory training, Attend required training, Attend in-service meetings, Attend staff meetings, Manage nursing staff work, Coordinate assisted living staff work, Communicate resident health and safety information, Oversee staff schedules, Complete staff schedules, Assign daily tasks, Maintain safe working environment, Prevent accidents, Preserve equipment, Achieve safe working practices, Ensure compliance with state regulatory requirements, Report to State, Complete concern reports, Complete incident reports, File concern reports, File incident reports, Conduct follow-up on reports, Perform mock surveys, Adhere to all policies, Adhere to all standards, Adhere to all procedures", "teamCollaboration" : "Liaison between residents, families, staff; Coordinate with Executive Director; Work with other staff", "domainKnowledge" : "Senior living resident care; State regulatory requirements", "domainList" : [ "senior-living-resident-care", "state-regulatory-requirements" ], "domainSpecificKnowledge" : [ "Senior living resident care", "State regulatory requirements" ], "documentationSkills" : "Clinical documentation; Resident assessments; Service plans; Care-plans; Incident reports", "specialRequirements" : "24/7 on-call clinical support, Valid driver's license, Clean driving record, COVID-19 vaccination proof", "qualificationsBasic" : "LPN/LVN or RN license required, Managed a clinical team, Managed and developed complex teams, Experience with EMR/EHR systems, Valid driver's license", "qualificationsPreferred" : "Experience in a senior living setting, Hospital setting experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you have HEART? We are looking for individuals who can embrace our mission to purposely brighten and enrich the lives of those we serve with HEART; Hospitality, Excellence, Appreciation, Respect & Teamwork. This position is responsible for directing the Health and Wellness Program and ensuring that Senior Lifestyle standards and state requirements for resident care are met. The Director of Health and Wellness will direct staff, ensure regulatory compliance and be responsible for the management of the clinical budget. * Directly oversee the delivery of care to Assisted Living residents to ensure that emotional, physical, psychological and safety needs are met through all program services and activities. * Coordinate, along with the Executive Director, family/resident care conferences and serve as a direct liaison between residents, families, and staff. Work with residents, families, and other staff to ensure that residents are at appropriate levels of care. * Manage labor costs, supplies, and other line items in clinical budget. * Monitor documentation systems to ensure that all regulatory timeframes for review of assessments and service plans are met and that resident needs are met. Write and review residents’ assessments/evaluations and care-plans with appropriate staff. * Assess/evaluate potential residents for Assisted Living level of care. This may involve assessing/evaluating potential residents in their home or another healthcare setting; must be able to drive to location and perform assessment/evaluation professionally and timely if necessary. Schedule and conduct new resident orientation for all Assisted Living Residents. * Provide, plan, schedule, and monitor staff training programs and in-services for the Assisted Living staff including statutory or regulatory required training. Attend all required training, in-service, and staff meetings. * Manage and coordinate the work of all nursing and other assisted living staff, communicating pertinent resident health and safety information. This includes overseeing and/or completing staff schedules monthly and daily assignments. * Strive to maintain a safe working environment through the prevention of accidents, the preservation of equipment, and the achievement of safe working practices. * Ensure compliance with all state regulatory requirements including mandatory reporting to State. Ensure that all concern and incident reports are completed, filed and that follow-up is conducted appropriately. * Assist and/or perform in mock surveys. * Maintain a positive and professional demeanor toward residents, visitors, families, and co-workers while adhering to all policies, standards and procedures of Company. * Require 24/7 on-call clinical support. * Perform other duties as assigned. ## Qualifications * Managed a clinical team in a senior living or hospital setting. * LPN/ LVN or RN license required. * Must maintain CEU and other state requirements for the position. * Able to manage multiple high-level tasks such as scheduling staff; scheduling care conferences and maintaining communication with staff and families in a professional, positive manner. * Managed and developed complex teams. * Experience with EMR/EHR clinical documentation systems. * Exude energy, passion with a hospitality-focused mindset. * A passion for serving seniors and growing teams. * Always maintain a positive and friendly demeanor toward the residents and your co-workers. * Technology savvy and ability to adapt to a fast-paced environment. * Self-awareness organized and time management skills. * Must have a valid driver’s license with a clean driving record. ## Additional Information Senior Lifestyle offers a comprehensive benefits plan to eligible team members including health, dental, vision, retirement benefits, short-term disability, long-term disability, and paid time off. All Senior Lifestyle positions are eligible to use DailyPay, an application that allows you to access your earned but unpaid wages before your next payday. Senior Lifestyle requires that all employees provide proof of COVID-19 vaccination unless exempt due to medical, religious, or personal beliefs. Government requirements or exclusions may apply.", "summaryDescription" : "Director of Health and Wellness at Senior Lifestyle. Skills: Resident care standards, Clinical budget management. Direct delivery of care. Coordinate family/resident care conferences", "postedDate" : "2026-06-15T14:37:49.000", "createdAt" : "2026-06-15T23:44:24.094", "lastUpdated" : "2026-06-16T10:03:25.749", "ingestTimestamp" : "2026-06-15T23:44:24.094", "mongoId" : "6a305568f292fd229cf1f3da", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Clinical documentation", "Care coordination", "Budget management", "Staff scheduling", "Resident care standards", "Clinical budget management", "Resident assessment", "Care plan development", "Regulatory compliance", "Incident reporting", "Mock surveys", "Senior living resident care", "State regulatory requirements", "LPN/LVN license", "RN license", "CEU requirements" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca54274d8ee00a09b575c", "title" : "Data Base Engineer", "company" : "Groupon", "industry" : "E-Commerce", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior Data Base Engineer in Chicago, adjusted for the e-commerce industry and company size." }, "location" : "Chicago (35 W. Wacker Dr.)", "locations" : [ "Chicago (35 W. Wacker Dr.)" ], "timestamp" : "2026-06-16T00:39:45.511", "fingerprint" : "7b25e4357ede30b3a6e8e132cfe77be41924cb8d2e65894e9f9b95a8ba28380f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/groupon/jobs/4896338101", "externalId" : "4896338101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Data modeling", "Capacity planning", "Schema design", "Data loading", "Security policy", "Database design documentation", "Data loading plans", "Client-server environments", "Web-enabled environments" ], "hardSkillsList" : [ "Database design", "Schema design", "Data modeling", "Capacity planning", "Data loading", "Security policy", "SQL writing", "SQL review", "Application development" ], "hardSkills" : [ { "name" : "Database design", "level" : "intermediate" }, { "name" : "Schema design", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Capacity planning", "level" : "intermediate" }, { "name" : "Data loading", "level" : "intermediate" }, { "name" : "Security policy", "level" : "intermediate" }, { "name" : "SQL writing", "level" : "intermediate" }, { "name" : "SQL review", "level" : "intermediate" }, { "name" : "Application development", "level" : "intermediate" } ], "majorSkills" : "Database design, Data modeling, SQL", "majorSkillsList" : [ "Database design", "Data modeling", "SQL" ], "coreResponsibilities" : "Design database management systems, Maintain database management systems, Translate business requirements into data models, Write complex programs, Derive logical processes, Build screens, Build reports, Build components, Contribute to UI design, Contribute to business application prototypes, Evaluate database management systems, Install database management systems, Configure database management systems, Document design decisions, Participate in QA, Develop test application code, Determine data storage methods, Determine table relationships, Determine field interactions, Defend design decisions, Assess existing data structures, Assess storage mechanisms, Determine schema contents", "teamCollaboration" : "Product teams; Engineering teams; Systems teams", "domainKnowledge" : "Relational data models; Database management systems; Client-server architecture; Web-enabled architecture", "domainList" : [ "relational-data-models", "database-management-systems", "client-server-architecture", "web-enabled-architecture" ], "domainSpecificKnowledge" : [ "Relational data models", "Database management systems", "Client-server architecture", "Web-enabled architecture" ], "communicationSkills" : "Explain tradeoffs", "documentationSkills" : "Database design documentation; Document design decisions", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Map existing schema; Identify top three structural risks; Document schema gaps; Design database deliverable; Review database deliverable; Sign off database deliverable; Own database standards; Develop test code; Cleanse schema", "qualificationsBasic" : "Hands-on experience designing relational data models, Fluency in database design documentation, Ability to write and review complex SQL, Experience evaluating and installing database management systems, Commercial instinct to negotiate schema contents", "qualificationsPreferred" : "Senior level experience assessing data structures", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Groupon connects 42 million customers with local experiences - restaurants, events, wellness and travel - and the million-plus merchants who deliver them. Our mission is to get people offline and into the real world at prices that make it possible. We're an AI-native company in the middle of a platform transformation, moving from a deals marketplace to an experience discovery platform that works for customers and merchants at the same time. Groupon's data infrastructure underpins every merchant deal, every customer transaction, and every operational decision the business makes. As we scale and modernize the platform, the quality of our database design is not a backend concern — it's a competitive constraint. This role owns it. What you'll be doing - Design and maintain database management systems end-to-end: conceptual model, logical schema, capacity planning, data loading, data maintenance, and security policy - Translate business requirements from product, engineering, and systems teams into precise data models — table structures, element attributes, and relational logic that are defensible and production-ready - Write complex programs and derive logical processes on technical platforms; build the screens, reports, and components that sit on top of them - Contribute to UI design and business application prototypes, bridging the gap between data layer and user-facing experience - Evaluate, install, and configure database management systems — and document your design decisions so the next engineer doesn't have to reverse-engineer them - Participate in QA and develop test application code in client-server environments - Determine how data should be stored, how tables relate to one another, and how fields interact — and defend those decisions when challenged - At senior levels: assess clients' existing data structures and storage mechanisms, and determine what belongs in the schema versus what doesn't What success looks like Day 30: You've mapped the existing schema, identified the top three structural risks, and documented the gaps nobody had written down yet. Day 60: At least one database deliverable — schema, data loading plan, or interface specification — has been designed, reviewed, and signed off. You're embedded with the engineering and product teams who depend on your work. Day 90: You own the database standards for your domain. Other engineers are using your guidelines. QA is running against test code you wrote. The schema is cleaner than when you arrived. What this role demands - Hands-on experience designing relational data models from business requirements — not just maintaining schemas someone else built - Fluency in database design documentation: conceptual design, logical database, capacity planning, external data interface specification, data loading plans, security policy - Ability to write and review complex SQL and application code; comfortable in client-server and web-enabled environments - Experience evaluating and installing database management systems - Strong enough commercial instinct to negotiate what goes in the schema and what doesn't — and to explain the tradeoff to non-technical stakeholders How we operate Extreme Ownership: If a downstream application breaks because of a schema decision, you own the diagnosis. You don't stop at the database boundary. Impact Obsessed: Clean design that nobody uses doesn't count. Your deliverables exist to make applications faster, data more reliable, and teams more independent. Speed Over Comfort: Imperfect data models that are documented and iterable beat perfect ones that never ship. What We Offer - Base Salary: $170,000 + Participation in company annual bonus plan and equity scheme. - Hybrid work model: Chicago office - Benefits: Starting the 1st of the month after your start date: Medical, dental, vision, life insurance, disability, FSAs, EAP, 401(k) match, ESPP, and more. Groupon is an AI-First Company We’re committed to building smarter, faster, and more innovative ways of working and AI plays a key role in how we get there. We encourage candidates to leverage AI tools during the hiring process where it adds value, and we’re always keen to hear how technology improves the way you work. If you’re passionate about AI or curious to explore how it can elevate your role you’ll be right at home here. Groupon’s purpose is to build strong communities through thriving small businesses. To learn more about the world’s largest local e-commerce marketplace, click here. You can also find out more about us in the latest Groupon news as well as learning about our DEI approach. If all of this sounds like something that’s a great fit for you, then click apply and join us on a mission to become the ultimate destination for local experiences and services. Beware of Recruitment Fraud: Groupon follows a merit-based recruitment process without charging job seekers any fees. We've noticed an increase in recruitment fraud, including fake job postings and fraudulent interviews and job offers aimed at stealing personal information or money. Be cautious of individuals falsely representing Groupon's Talent Acquisition team with fake job offers. If you encounter any suspicious job offers or interview calls demanding money, recognize these as scams. Groupon is not responsible for losses from such dealings. For legitimate job openings (and a sneak peek into life at Groupon), always check our official career website at Groupon Careers", "summaryDescription" : "Data Base Engineer at Groupon. Skills: Database design, Data modeling, SQL. Design database management systems. Maintain database management systems", "postedDate" : "2026-06-14T19:18:52.985", "createdAt" : "2026-06-14T19:18:52.985", "lastUpdated" : "2026-06-16T00:39:45.511", "ingestTimestamp" : "2026-06-14T19:18:52.985", "mongoId" : "6a2ca54274d8ee00a09b575c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Database design", "Schema design", "Data modeling", "Capacity planning", "Data loading", "Security policy", "SQL writing", "SQL review", "Application development", "SQL", "Database design documentation", "Data loading plans", "Client-server environments", "Web-enabled environments", "Relational data models", "Database management systems", "Client-server architecture", "Web-enabled architecture" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a210e2074d8ee00a0af5d5b", "title" : "Data and AI Consultant", "industry" : "Consulting", "location" : "[Johannesburg, South Africa, [222, 216 Rahima Moosa St, Johannesburg, 2001, South Africa], Johannesburg, 2001, GP, ZA]", "locations" : [ "[Johannesburg, South Africa, [222, 216 Rahima Moosa St, Johannesburg, 2001, South Africa], Johannesburg, 2001, GP, ZA]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:09:43.961", "fingerprint" : "ce5f54c24f1d83855c92bcc25d7de6eb92fe29ce03d92b75ad978f7e88ee4e1a", "source" : "google", "language" : "en", "externalId" : "122332690157314758", "industryFunction" : { }, "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning", "Data modelling", "ETL processes", "Data warehousing", "Cloud computing", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, AI, Machine Learning, Data Engineering", "majorSkillsList" : [ "Data Science", "AI", "Machine Learning", "Data Engineering" ], "coreResponsibilities" : "Develop and implement data science solutions, Build and maintain data pipelines, Design and deploy machine learning models, Create and manage business intelligence dashboards, Analyze complex datasets, Provide insights and recommendations, Collaborate with stakeholders, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Client stakeholders", "domainKnowledge" : "Cloud-native architecture; Distributed systems", "domainList" : [ "cloud-native-architecture", "distributed-systems" ], "domainSpecificKnowledge" : [ "Cloud-native architecture", "Distributed systems" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Client presentations; Technical documentation", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years of experience in data science, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "summaryDescription" : "Data and AI Consultant. Skills: Data Science, AI, Machine Learning, Data Engineering. Develop and implement data science solutions. Build and maintain data pipelines", "postedDate" : "2026-06-16T01:48:00.642", "createdAt" : "2026-06-16T01:48:00.642", "lastUpdated" : "2026-06-16T11:09:43.961", "ingestTimestamp" : "2026-06-16T01:48:00.642", "mongoId" : "6a210e2074d8ee00a0af5d5b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Machine learning", "Data modelling", "ETL processes", "Data warehousing", "Cloud computing", "A/B testing", "Causal inference", "Data Science", "AI", "Machine Learning", "Data Engineering", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Cloud-native architecture", "Distributed systems", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.0 }, { "id" : "6a307f57f292fd229c058281", "title" : "Senior Data and Analytics Engineer", "company" : "Velir", "salary" : { "min" : 160000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:32:01.810", "fingerprint" : "94ede4f511c38a9621a1a064142cdbb189de1e740bcae1d22083fe7aee1c9284", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/velir/jobs/5262333008", "externalId" : "5262333008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Spark, Dbt, Snowflake, BigQuery, Databricks, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Machine learning", "AI development" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud data platforms", "level" : "intermediate" }, { "name" : "Machine learning models", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Machine learning, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Design data pipelines, Build data models, Develop ETL processes, Implement data warehousing solutions, Create business intelligence dashboards, Engineer analytics solutions, Develop and deploy machine learning models, Perform quantitative analysis, Conduct A/B testing, Apply causal inference techniques, Optimize data infrastructure, Ensure data quality and integrity, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "qualificationsBasic" : "5+ years of experience in data engineering, Proficiency in SQL, Experience with Python", "qualificationsPreferred" : "Master's degree preferred, Experience with dbt Cloud, Experience with MLflow, Experience with Databricks, Experience with Snowflake, Experience with BigQuery, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics. At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits. Overview The Senior Data & Analytics Engineer will play a crucial role in helping our client organizations transform raw data into reliable, well-modeled assets that drive business decisions. This hybrid role bridges data engineering and analytics engineering — combining the infrastructure-building strengths of a data engineer with the transformation, modeling, and semantic layer expertise of an analytics engineer. Core responsibilities include Data Architecture Design, Data Modeling, ELT/ETL Development, Data Quality Assurance, and Scalability Optimization, with a strong emphasis on Databricks as the primary platform. Because our clients are mostly US-based organizations, we look for the ability to communicate with professional proficiency in English, verbally and in writing. Responsibilities Data & Analytics Engineering Expertise: You are responsible for building and maintaining the infrastructure and transformation layers that support the storing, movement, and modeling of data — enabling analysts, AI agents, and business stakeholders to confidently consume, interpret and take action. You will operate across both the data engineering and analytics engineering layers of the data stack, owning pipeline development and maintenance, as well as designing and building the resultant data models. Design, build, and maintain scalable data pipelines and ELT workflows, with Databricks as the primary platform Develop and maintain dbt models that are well-documented, tested, and structured for long-term maintainability Own data modeling decisions and methodology — defining entities, relationships, and grain — in collaboration with analytics and business stakeholders Consistently seek out and deliver on engagement-level vision, tasks, and problems Regularly delivers meaningful improvements to clients' data infrastructure and analytical capabilities Autonomous in approach and provides technical guidance to less experienced engineers Cross-Team Collaboration: You are responsible for collaborating with peers and other functional departments to develop and implement data strategies that support engagement goals and client needs. Collaborate with other data engineers and analytics engineers, data analysts, and clients on end-to-end data requirements Partner with clients and functional managers to plan for data engineering and modeling needs for product or feature launches Create processes and/or documentation templates that help cross-functional teams solve common data problems Drive data solution improvements that impact the client experience or empower internal stakeholders to do their jobs effectively Take initiative to identify, communicate, and solve important problems, coordinating with others on cross-cutting technical issues Project Delivery: You are responsible for ensuring that data engineering and analytics engineering projects are delivered on time, within scope, and within budget. Architect and design data systems and transformation layers using patterns that allow for iterative delivery and future scaling Proactively identify and address technical debt with careful evaluation of development cost Optimize for predictability and a regular cadence of deliverables Keep reliability, maintainability, and scalability of client systems top of mind Ability to identify and prioritize unowned or unglamorous work that enables the broader team to move faster Skills & Qualifications Proven experience as a Data Engineer, Analytics Engineer, or in a hybrid or generalist role, with a focus on designing and developing data pipelines and transformation layers Strong programming skills in Python and SQL Hands-on, deep expertise with Databricks — including Delta Lake, Unity Catalog, and Databricks workflows Strong proficiency with dbt for data transformation, testing, and documentation Demonstrated experience in data modeling — including dimensional modeling, entity-relationship design, and semantic layer development Deep knowledge of data warehousing and ELT/ETL processes Familiarity with data integration and orchestration platforms (e.g., Fivetran, Apache Airflow, Azure Data Factory) Experience with cloud platforms such as AWS, Azure, or Google Cloud Experience with other cloud data warehouses such as Snowflake or Motherduck is a plus Experience with streaming solutions such as Spark Streaming or Kafka is desirable but not required Familiarity with MLOps techniques and platforms is a plus but not required Strong analytical and problem-solving skills Excellent communication and collaboration skills Familiarity with leveraging coding assistants such as Claude Code, CoPilot, and/or Codex is a plus Physical Requirements Frequent sitting at a desk performing work on a computer Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Compensation Range: $160,000 - 175,000 annually Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role. Core Company Values Take the Long View - Ensure the company is built to last Be Courageous - Make the right decisions even when they aren't the easiest decisions Be Genuine - Bring honesty and authenticity to all that you do Work with Focus + Passion - Display purpose and pride in your work and never stop learning As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure. At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.", "summaryDescription" : "Senior Data and Analytics Engineer at Velir. Skills: Data engineering, Machine learning, Business intelligence, Analytics engineering. Design data pipelines. Build data models", "postedDate" : "2026-06-16T01:18:38.223", "createdAt" : "2026-06-16T01:18:38.223", "lastUpdated" : "2026-06-16T10:32:01.810", "ingestTimestamp" : "2026-06-16T01:18:38.223", "mongoId" : "6a307f57f292fd229c058281", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 175000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Data modeling", "ETL development", "Data warehousing", "Quantitative analysis", "AI development", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca0cf74d8ee00a09a35ec", "title" : "Senior Quality Control Engineer – Analytical Methods", "company" : "Form Energy", "industry" : "Quality", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Quality Control Engineer – Analytical Methods in Weirton, United States, adjusted for seniority and industry." }, "location" : "Weirton, WV", "locations" : [ "Weirton, WV" ], "timestamp" : "2026-06-15T23:52:06.392", "fingerprint" : "a3530bf971cb9acbb35c09c173ba7044489b2c6458992cf8247b8b30c2868a82", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/formenergy/e8e2f044-86af-48a4-a4c6-8e694019d756/application", "externalId" : "e8e2f044-86af-48a4-a4c6-8e694019d756", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Weirton", "state" : "West Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.4002396,-80.5899788" }, { "city" : "Pittsburgh", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.4406968,-80.0025666" } ], "locationText" : "Weirton, West Virginia, United States; Pittsburgh, Pennsylvania, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "Are you ready to build America’s energy future? Form Energy is an American manufacturing and energy technology company. We’re revolutionizing energy storage with cost-effective, multi-day technology designed to keep the electric grid secure and reliable, even during extended periods of stress. By strengthening the electric system and reimagining what’s possible, we’re giving clean energy a whole new form! In recent years, Form Energy has earned a number of accolades, including being named by TIME as a “Best Invention”, MIT Technology Review as a “Top Climate Tech Company To Watch”, and Fast Company as “One of the Next Big Things In Tech”. We are making rapid progress on our mission of delivering energy storage for a better world, and our team is growing just as rapidly to meet demand. We have signed contracts with leading electric utilities across the United States and production of our iron-air batteries is underway at our first high-volume manufacturing facility in West Virginia. Working for Form Energy is more than just a job, it’s a chance to be part of something extraordinary. And now - right as we significantly scale up battery manufacturing - might be the most exciting moment in the company’s history to join. We are assembling a team of highly talented and driven individuals across the country. Driven by our core values of humanity, excellence, and creativity, our team is determined to deliver on our mission and transform the energy landscape for the better. Feeling energized to make a meaningful impact on the world? Then keep reading - you’ve come to the right place. ROLE DESCRIPTION Form Energy is seeking an Analytical Development Engineer to develop and validate fit‑for‑purpose analytical methods that ensure the performance, safety, and reliability of our battery components. As part of the Quality Analytical Development team, you will create robust, data‑driven methods that support product qualification, root‑cause investigations, and continuous improvement across our technology. You’ll collaborate with Design Engineering, Manufacturing Engineering, Supply Chain, and Operations to prioritize method development, reduce measurement system error, and strengthen our Control Plans and Response Plans for active production in FF1. This is a hands‑on, technical role with direct impact on production readiness and product quality. A secondary focus includes supporting root‑cause and corrective‑action efforts for emerging production issues and contributing to cross‑site alignment of analytical strategies and capabilities. Relocation assistance is available. WHAT YOU'LL DO: - Interface with Design Engineering, Manufacturing Engineering, Supply Chain, and Operations to identify where new or improved analytical methods are needed to control processes, reduce variability, and enable better business decisions. - Build and document end‑to‑end development workflows for new analytical methods, including scoping, experimental design, optimization, validation, and readiness for production use. - Maintain and continuously improve the training program for new analytical methods, ensuring technicians and engineers are fully qualified and methods are executed consistently across sites. - Partner with the Lab Manager to diagnose and resolve instrument excursions, performance drift, and maintenance issues that impact method reliability. - Serve as a technical leader in root‑cause investigations and corrective‑action efforts for production issues, using analytical data to drive problem resolution and prevent recurrence. WHAT YOU'LL BRING: - 5+ years of quality systems experience in a manufacturing environment - Advanced understanding of measurement system analysis, sampling plans, hypothesis testing, and calibration - Structured problem-solving (8D) and analytical skills, including strong technical skills in statistical tools, Design of Experiments (DOE), Process Capability (Cpk, Ppk), etc. - Ability to work well in a dynamic, fast-paced environment while remaining detail-oriented with strong record-keeping and organizational skills - Experienced in ISO9001, ISO/TS 16949, APQP, PPAP, SPC is a plus - Bachelor’s degree in Chemistry, Chemical Engineering, or similar fields is a plus WHERE YOU'LL WORK: This role is based at Form Factory 1 in Weirton, WV—an easy commute from the city of Pittsburgh, PA. This 550,000-square-foot facility is our hub for high-volume battery production and a leader in the new era of American energy manufacturing. Relocation assistance is available. #LI-Onsite #LI-DL1 Humanity is a cornerstone of Form Energy’s culture, and we make sure our compensation and benefits reflect that. Form Energy offers competitive salaries, stock options, and a holistic benefits package to ensure all employees have what they need to thrive while working here. When it comes to you and your family’s health, we cover 100% of medical, dental, and vision premiums for full-time employees - and 80% of healthcare premiums for dependents. This starts from day one. We also offer at least 12 weeks of paid leave for new parents (up to 20 weeks for birthing parents), and generous vacation policies to give employees time to recharge when needed. To build America’s energy future, we need everyone at the table. We are proud to be an equal opportunity employer, and encourage candidates from all backgrounds to apply to our open jobs. If you may require reasonable accommodations to participate in our interview process, please contact accommodations@formenergy.com. Requests for accommodations will be treated with discretion. Form Energy is committed to maintaining the privacy of our applicants. Please be aware that we will never solicit sensitive personal information such as Social Security numbers or bank account details during the recruiting or hiring process.", "summaryDescription" : "Senior Quality Control Engineer – Analytical Methods at Form Energy", "createdAt" : "2026-06-14T20:14:44.804", "lastUpdated" : "2026-06-15T23:52:06.392", "ingestTimestamp" : "2026-06-14T20:14:44.804", "mongoId" : "6a2ca0cf74d8ee00a09a35ec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "methods for improving the speed consistency and usefulness of judgment based data jobs", "metadata" : { "title" : "methods for improving the speed consistency and usefulness of judgment based data" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 53954, "totalPages" : 1080, "hasNext" : true, "hasPrevious" : false } }

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