{ "count" : 41308, "data" : [ { "id" : "6a2cda5674d8ee00a0a4bc93", "title" : "AI Agent Engineer, Client Facing", "company" : "Observe. 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The platform enables businesses to deploy specialized AI Agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations. Each AI Agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work. Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction. Why Join Us We’re looking for an AI Agent Engineer to lead the charge in building and deploying enterprise-grade Voice, Chat AI agents and AI Copilot. This role is hands-on, customer-facing, and pivotal in bringing AI solutions to life - from design and integration to deployment and optimization. You’ll own the end-to-end lifecycle of AI Agents: building, integrating, testing, demoing to clients, deploying into production, and tuning performance. What You’ll Be Doing Build work consultatively to unblock challenges in security, connectivity, or knowledge ingestion. Cross Functional Collaboration: Collaborate with product/engineering teams to escalate platform gaps and resolve deep technical fixes and platformization, while independently driving leading client implementations. What You’ll Bring To The Role Bachelor’s degree in Computer Science, Engineering, or a related technical field 3+ years in conversational AI, solution engineering, system integration, or delivering AI/LLM-based applications in customer environments, software engineering, or system integration with hands-on delivery of AI/LLM-based solutions. Strong ability to communicate and lead customer-facing discussions - from deep technical troubleshooting to weekly project demos. Ability to explain complex technical concepts to non-technical audiences. Must have strong hands-on skills in prompt design, workflow building and API integration (SIP, Twilio, Amazon Connect, etc.). Familiarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc.). Working knowledge of retrieval-augmented generation (RAG) concepts, implementation patterns and performance optimization. Programming experience in Python, JavaScript, or similar for scripting and integrations Strong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystems. Experience with integration tools and Integration Platform-as-a-Service (iPaaS) providers, such as n8n, Zapier, or similar platforms and proficiency in API integrations and data flow management is a plus. Familiarity with telephony or voice systems (SIP, CCaaS, PSTN) is a plus. Why You’ll Love It Here Competitive compensation including equity: Market-aligned base pay, performance incentives, and meaningful equity ownership Excellent medical, dental, and vision insurance options: Comprehensive medical, dental and vision benefits for employees and eligible dependents Flexible Paid Time Off: Our unlimited, flexible PTO policy empowers you to take the time you need to recharge, maintain balance, and perform at your best. Additional Time to Recharge: 10 company holidays, an annual company-wide Winter Break, and paid parental leave to fully support life outside of work. 401(k) plan: Long-term financial planning support with tax-advantaged retirement savings Quarterly Lifestyle Spending Account: Flexible quarterly stipend to support wellness, learning and professional development, and personal growth Monthly Mobile + Internet Stipend: Support for remote and hybrid work connectivity needs Pre-tax Commuter Benefits: Tax-efficient transit and commuting support for hybrid and in-office employees Autonomy and Agency: Play a meaningful role in scaling a category-defining GenAI platform transforming the future of customer experience. Salary Range The base salary compensation range targeted for this full-time position is $108 - 170K per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai. #LI-Hybrid", "summaryDescription" : "AI Agent Engineer, Client Facing at Observe. AI. Skills: AI Agent Engineering, Conversational AI, LLM-based applications, Client implementations. Build work consultatively. 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The data we collect supports machine learning training, evaluation, testing, and performance benchmarking, helping teams develop new capabilities and improve detection quality for customers. We recreate real-world scenarios and edge cases in various indoor and outdoor environments using both production and pre-release devices. We also perform comparative analysis of device motion detection performance across different generations, generating insights that help determine device readiness for mass production. Job Summary We are looking for a Data Collection Engineer to join our team. In this role, you will deep-dive into the specifics of smart home device functionality and collaborate with cross-functional teams to influence device/feature performance/detection quality improvement. This role offers an opportunity to work at the intersection of two fields: Technical Quality Assurance and field production (similar to debugging and shooting on a cinema set). The ideal candidate is a proactive problem-solver, creative in finding technical solutions, and resilient to changing external factors. Responsibilities and Duties Set up and configure data collection devices on-site, including firmware flashing, network setup, and sensor calibration Execute and monitor multi-device data collection sessions at remote locations according to defined scenarios, ensuring data quality and compliance in real time Independently prepare field locations, including device placement and field-of-view optimization based on environmental conditions Coordinate third-party providers (vehicles, locations, actors, pets) to ensure correct execution of scenarios Perform HW/FW/network troubleshooting during collection with remote technical support when needed Mitigate on-site operational risks and align with Project Coordinators on resource constraints Document results, issues, and field observations, and drive improvements in data collection efficiency and automation Qualifications and Skills Experience working with Smart Home, home automation, security devices, or video technologies Solid understanding of network setup, Wi-Fi configuration, and basic troubleshooting (routers, access points, local networks) Hands-on experience with technical equipment, tools, hardware installations, or field operations Confident use of Google Workspace and Confluence Strong teamwork, cross-functional collaboration, and high adaptability to changing environments Clear and effective communication Excellent time management, self-organization, and multitasking skills Good written and spoken English. Nice to have Quality Assurance experience (hardware or software testing) Working knowledge of UNIX/Linux environments and command-line basics Flexibility to work evening hours if requested by project specifics. We offer multiple benefits that include The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member. Competitive compensation and perks. Annual performance review. Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company. Gig-contract. 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation. Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves. Medical insurance is provided from day one. Sick leaves and medical leaves are available. Free meals, fruits, and snacks when working in the office.", "summaryDescription" : "Data Collection Engineer at SQUAD. Skills: Data Collection, Smart Home Devices, Field Operations. Set up and configure devices. Execute and monitor data collection", "postedDate" : "2026-06-14T08:39:16.252", "createdAt" : "2026-06-14T08:39:16.252", "lastUpdated" : "2026-06-15T10:14:34.652", "ingestTimestamp" : "2026-06-14T08:39:16.252", "mongoId" : "6a2c6b9c74d8ee00a091380d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Device configuration", "Data collection sessions", "Troubleshooting", "Automation", "Data Collection", "Smart Home Devices", "Field Operations", "Technical Quality Assurance", "Field production", "Problem-solving", "Technical solutions", "Smart home devices", "Home automation", "Security devices", "Video technologies", "Local networks", "Confluence" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69fda4e54c40e2acd1b99a64", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 19.0, "max" : 33.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T05:29:52.309", "fingerprint" : "96231c747d3ad883c5a260ef32d319463d913c5c38d376ce827e24a90888f24a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412513/apply", "externalId" : "6df00c61-823c-44cc-a9a6-74b2121c30c9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "MS Office, Scripting languages, Unix/Linux, Mac OS, Confluence, JIRA, Wiki", "professionalSkills" : [ "Data collection", "Data auditing", "Data markup" ], "hardSkillsList" : [ "Data collection procedure", "Data recording", "Information documentation", "Data collection projects", "Collection protocol changes", "Quantitative data analysis" ], "softSkillsList" : [ "Organized", "Interpersonal skills", "Sense of humor", "Team work skills" ], "hardSkills" : [ { "name" : "Data collection procedure", "level" : "intermediate" }, { "name" : "Data recording", "level" : "intermediate" }, { "name" : "Information documentation", "level" : "intermediate" }, { "name" : "Data collection projects", "level" : "intermediate" }, { "name" : "Collection protocol changes", "level" : "intermediate" }, { "name" : "Quantitative data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Organized" }, { "name" : "Interpersonal skills" }, { "name" : "Sense of humor" }, { "name" : "Team work skills" } ], "majorSkills" : "Data collection, Data auditing, Data markup", "majorSkillsList" : [ "Data collection", "Data auditing", "Data markup" ], "coreResponsibilities" : "Learn collection procedure quickly, Execute collection procedure accurately, Record data, Document needed information, Identify issues in tools, Suggest tool enhancements, Understand changes to collection protocol", "teamCollaboration" : "Highly collaborative environment; Great team work skills", "domainKnowledge" : "Machine learning data processing", "domainList" : [ "machine-learning-data-processing" ], "domainSpecificKnowledge" : [ "Machine learning data processing" ], "toolProficiency" : [ "MS Office", "Confluence", "JIRA", "Wiki" ], "documentationSkills" : "Information documentation", "innovationCreativity" : "Improvements in data collection projects", "problemSolvingSkills" : "Addressing issues and problems", "qualificationsBasic" : "Computer skills, Proficiency in MS Office, Moderating data collection, Conducting data collection, Data auditing, Data markup, Machine learning data processing needs, Experience with prototype assets, Experience in research, Experience with scripting languages, Unix/Linux environment, Mac OS experience, Confluence experience, JIRA experience, Wiki tools experience", "qualificationsPreferred" : "Bachelor's degree or equivalent, Behavioral data collection experience, Scenario-driven data collection experience, Quantitative data analysis experience, Consumer electronic device flashing, Consumer electronic device readiness, Hardware testing experience, Software testing experience, Salesforce experience, JIRA experience, Agile/scrum workflow experience, Data collection evaluation experience, Peer-to-peer feedback experience, Working with multiple stakeholders, Supporting quantitative research, Supporting qualitative research, iOS systems experience, Android systems experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience with computer skills, including proficiency in MS Office (Word, Excel, PowerPoint) - Experience in moderating and conducting data collection, data auditing, or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent - Experience with behavioral data collection, scenario-driven data collection and quantitative data analysis - Experience with consumer electronic device flashing and readiness - Experience in hardware and software testing - Experience with Salesforce or JIRA, or experience in agile/scrum or related collaborative workflow - Experience in data collection and evaluation to drive impact - Experience in providing peer-to-peer feedback - Experience working with multiple groups of stakeholders - Experience in supporting quantitative and qualitative consumer research - Experience with iOS and Android systems Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 19.00 - 33.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data auditing, Data markup. Learn collection procedure quickly. 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The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience working in a fast-paced, team environment - Excellent communication, strong organizational skills and very detailed-oriented - Experience working in a corporate environment - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. - Knowledge of Microsoft Office products and applications - Reliable transportation Preferred Qualifications: - Bachelor's degree or equivalent - Experience in research or data collection - - Experience using Confluence, Quip, Jira, Salesforce - - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - - Experience moderating a 1:1 session with users independently in the field - - Experience moderating sessions with users of different age and demographics is a big plus - - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, VA, Arlington - 17.00 - 30.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection. Learn quickly. 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Basic Qualifications: - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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Basic Qualifications: - Experience with computer skills, including proficiency in MS Office (Word, Excel, PowerPoint) - Experience in moderating and conducting data collection, data auditing, or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent - Experience with behavioral data collection, scenario-driven data collection and quantitative data analysis - Experience with consumer electronic device flashing and readiness - Experience in hardware and software testing - Experience with Salesforce or JIRA, or experience in agile/scrum or related collaborative workflow - Experience in data collection and evaluation to drive impact - Experience in providing peer-to-peer feedback - Experience working with multiple groups of stakeholders - Experience in supporting quantitative and qualitative consumer research - Experience with iOS and Android systems Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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Basic Qualifications: - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 19.00 - 33.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data annotation. Learn quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T02:24:00.108", "createdAt" : "2026-06-13T02:24:00.108", "lastUpdated" : "2026-06-15T00:04:16.939", "ingestTimestamp" : "2026-06-13T02:24:00.108", "mongoId" : "69c94a6d9bc74574cbbb376c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194783/apply", "salaryAnnualMin" : 39520, "salaryAnnualMax" : 68640, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection", "Data annotation", "Data labeling", "Linguistic annotation", "Data markup", "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "skillCount" : 11, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a6d9bc74574cbbb3765", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 21.0, "max" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T01:37:09.708", "fingerprint" : "63871b582f22e1b394131df9c21974dc7ad34068876fa4337fbbb609fb528faa", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194798/apply", "externalId" : "eead4785-328b-4204-a345-c03136e2bbff", "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" : "Scripting languages, Unix, Linux, MS Office, Excel, Mac OS, Confluence, JIRA, Wiki", "professionalSkills" : [ "Data labeling", "Data annotation", "Linguistic annotation", "Data markup" ], "hardSkillsList" : [ "Data collection", "Data markup", "Data processing" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data markup", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" } ], "majorSkills" : "Data collection, Data annotation, Data markup", "majorSkillsList" : [ "Data collection", "Data annotation", "Data markup" ], "coreResponsibilities" : "Learn quickly, Execute collection procedure accurately, Record data, Document needed information, Contribute to improvements in data collection projects, Identify issues in tools, Suggest enhancements, Understand changes to collection protocol", "teamCollaboration" : "Highly collaborative environment", "domainKnowledge" : "Machine learning data processing", "domainList" : [ "machine-learning-data-processing" ], "domainSpecificKnowledge" : [ "Machine learning data processing" ], "toolProficiency" : [ "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki" ], "communicationSkills" : "Excellent communication", "documentationSkills" : "Document information", "problemSolvingSkills" : "Addressing issues; Addressing problems", "qualificationsBasic" : "Experience in natural language data labeling, Data annotation experience, Linguistic annotation experience, Data markup experience, Excellent communication skills, Organizational skills, Very detailed-oriented, Experience working in a corporate environment, Practical knowledge of machine learning data processing needs, Experience working with prototype assets, Experience in research, Experience in data collection, Experience with scripting languages, Unix/Linux environment experience, Great team work skills, Experience using MS Office, Experience using Excel, Experience using Mac OS, Experience using Confluence, Experience using JIRA, Experience using Wiki tools", "qualificationsPreferred" : "Bachelor's degree or equivalent, Experience using Quip, Experience using Salesforce, End-to-end data collections experience, Recruiting experience, Moderation experience, Reporting experience, Moderating a 1:1 session independently, Moderating sessions with users of different age and demographics", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Excellent communication, strong organizational skills and very detailed-oriented - Experience working in a corporate environment - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent - Experience in research or data collection - - Experience using Confluence, Quip, Jira, Salesforce - - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - - Experience moderating a 1:1 session with users independently in the field - - Experience moderating sessions with users of different age and demographics is a big plus - - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, WA, Bellevue - 21.00 - 30.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data annotation, Data markup. Learn quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T02:21:05.827", "createdAt" : "2026-06-13T02:21:05.827", "lastUpdated" : "2026-06-15T01:37:09.708", "ingestTimestamp" : "2026-06-13T02:21:05.827", "mongoId" : "69c94a6d9bc74574cbbb3765", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194798/apply", "salaryAnnualMin" : 43680, "salaryAnnualMax" : 62400, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection", "Data markup", "Data processing", "Data annotation", "Data labeling", "Linguistic annotation", "Machine learning data processing", "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki" ], "skillCount" : 13, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a6d9bc74574cbbb3762", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 21.0, "max" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T01:23:35.587", "fingerprint" : "74fbaa0b66723e19cbffcab560ec44e423b52a58d02315d65115cb64f8163525", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194789/apply", "externalId" : "76366312-841f-4f2c-8ce0-f15f8ddb2a0f", "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" : "Python, Unix, Linux, MS Office, Excel", "professionalSkills" : [ "Data labeling", "Data annotation", "Linguistic annotation", "Data markup", "Data collection", "Quantitative analysis", "Statistics" ], "hardSkillsList" : [ "Data markup", "Data collection", "Quantitative analysis", "Statistics" ], "softSkillsList" : [ "Organized", "Interpersonal skills", "Sense of humor", "Team work skills" ], "hardSkills" : [ { "name" : "Data markup", "level" : "intermediate" }, { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Organized" }, { "name" : "Interpersonal skills" }, { "name" : "Sense of humor" }, { "name" : "Team work skills" } ], "majorSkills" : "Data collection, Data annotation, Data markup", "majorSkillsList" : [ "Data collection", "Data annotation", "Data markup" ], "coreResponsibilities" : "Learn quickly, Execute collection procedure accurately, Record data, Document needed information, Contribute to improvements in data collection projects, Identify issues in tools, Suggest enhancements, Understand changes to collection protocol", "teamCollaboration" : "Highly collaborative environment; Great team work skills", "domainKnowledge" : "Natural language data labeling; Data annotation; Linguistic annotation; Data markup; Machine learning data processing; Behavioral data collection; Quantitative data analysis; Agile/scrum workflow", "domainList" : [ "natural-language-data-labeling", "data-annotation", "linguistic-annotation", "data-markup", "machine-learning-data-processing", "behavioral-data-collection", "quantitative-data-analysis", "agile-scrum-workflow" ], "domainSpecificKnowledge" : [ "Natural language data labeling", "Data annotation", "Linguistic annotation", "Data markup", "Machine learning data processing", "Behavioral data collection", "Quantitative data analysis", "Agile/scrum workflow" ], "toolProficiency" : [ "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "documentationSkills" : "Document information", "innovationCreativity" : "Suggest enhancements", "problemSolvingSkills" : "Addressing issues; Addressing problems", "qualificationsBasic" : "Experience in natural language data labeling, Experience in data annotation, Experience in linguistic annotation, Experience in other forms of data markup, Experience working with prototype assets, Experience in research or data collection, Experience with any scripting languages, Experience with Unix/Linux environment, Experience using MS Office, Experience using Excel, Experience using Mac OS, Experience using Confluence, Experience using JIRA, Experience using Wiki tools", "qualificationsPreferred" : "Bachelor's degree or equivalent, Experience with behavioral data collection, Experience with quantitative data analysis, Experience with statistics, Experience with Salesforce, Experience with JIRA, Experience in agile/scrum, Experience in related collaborative workflow, Experience in data collection and evaluation, Experience in providing peer-to-peer feedback, Experience working with multiple groups of stakeholders, Experience in supporting quantitative and qualitative consumer research", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent - Experience with behavioral data collection, quantitative data analysis, and statistics - Experience with Salesforce or JIRA, or experience in agile/scrum or related collaborative workflow - Experience in data collection and evaluation to drive impact - Experience in providing peer-to-peer feedback - Experience working with multiple groups of stakeholders - Experience in supporting quantitative and qualitative consumer research Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, WA, Bellevue - 21.00 - 30.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data annotation, Data markup. Learn quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T02:00:28.863", "createdAt" : "2026-06-13T02:00:28.863", "lastUpdated" : "2026-06-15T01:23:35.587", "ingestTimestamp" : "2026-06-13T02:00:28.863", "mongoId" : "69c94a6d9bc74574cbbb3762", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194789/apply", "salaryAnnualMin" : 43680, "salaryAnnualMax" : 62400, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data markup", "Data collection", "Quantitative analysis", "Statistics", "Organized", "Interpersonal skills", "Sense of humor", "Team work skills", "Data annotation", "Data labeling", "Linguistic annotation", "Natural language data labeling", "Machine learning data processing", "Behavioral data collection", "Quantitative data analysis", "Agile/scrum workflow", "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "skillCount" : 22, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c6d0574d8ee00a091cc71", "title" : "Product Data Collection Specialist", "company" : "Cartesian Systems", "industry" : "Retail", "salary" : { "min" : 65000.0, "max" : 80000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Cambridge, Massachusetts, United States", "locations" : [ "Cambridge", "Massachusetts", "United States" ], "timestamp" : "2026-06-15T13:30:59.027", "fingerprint" : "46e8f173cff12c4b62ebe7784b9412826af178044836519525ed78a4c7d78002", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cartesiansystems/jobs/4284817009", "externalId" : "4284817009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3656347,-71.1040018" } ], "locationText" : "Cambridge, Massachusetts, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Scripting", "Troubleshooting", "Debugging" ], "hardSkills" : [ { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" } ], "majorSkills" : "Product testing, Data collection, Field operations", "majorSkillsList" : [ "Product testing", "Data collection", "Field operations" ], "coreResponsibilities" : "Conduct product testing, Collect data, Travel to customer sites, Evaluate system performance, Collect datasets, Validate datasets, Analyze datasets, Test new features, Test mobile applications, Test workflows, Investigate bugs, Investigate edge cases, Investigate unexpected behavior, Provide feedback to engineering, Perform basic scripting, Perform troubleshooting, Perform debugging, Improve testing processes, Document testing processes, Improve data collection processes, Document data collection processes, Assist with map edits, Assist with data quality reviews, Assist with operational support", "teamCollaboration" : "Engineering teams; Product teams; Operations teams", "domainKnowledge" : "Indoor environments; Retail industry; In-store inventory visibility", "domainList" : [ "indoor-environments", "retail-industry", "in-store-inventory-visibility" ], "domainSpecificKnowledge" : [ "Indoor environments", "Retail industry", "In-store inventory visibility" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Document processes", "continuousLearning" : "Learning; Execution", "problemSolvingSkills" : "Problem-solving; Investigating problems; Troubleshooting; Debugging", "specialRequirements" : "Regular travel, Occasional regional travel, Travel to retail locations", "outcomesObjectives" : "Improve product accuracy; Improve product reliability; Increase quality; Increase consistency; Increase efficiency; Prioritize issues; Drive improvements", "qualificationsBasic" : "1+ years experience, Associate's or Bachelor's degree, Technical field degree, Equivalent practical experience", "qualificationsPreferred" : "Product testing experience, Field testing experience, QA experience, Beta testing experience, Experience collecting data, Experience validating data, Experience analyzing data, Retail experience, Customer support experience, Customer success experience, Field operations experience, Deployment roles experience, Python familiarity, SQL familiarity, Data analysis tools familiarity, Data pipelines support, Data quality monitoring support, Operational tooling support, Spanish language proficiency, Startup experience, Early-stage company experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Cartesian Cartesian is building spatial intelligence for indoor environments to drive operational efficiency. We’re tackling one of the biggest challenges in the $35T global retail industry: in-store inventory visibility. Our platform delivers accurate indoor positioning and actionable product location insights, helping retailers streamline operations, optimize workflows, and reduce inefficiencies. By fusing wireless signals and mobile computer vision, we provide a uniquely scalable, infrastructure-free solution already deployed by international fashion brands. Founded by an MIT engineering professor and alumni behind award-winning, patented core technologies, Cartesian spun out in 2023. Originally backed by a U. S. National Science Foundation SBIR Award, we’ve bootstrapped to a live product now deployed in multiple countries and are scaling aggressively. About the Role We are looking for a Product Data Collection Specialist to join Cartesian at a pivotal moment in our growth. This is a hands-on, impact-driven role focused on product testing, field operations, and data collection. You will spend significant time in retail environments evaluating product performance, collecting and validating data, identifying issues, and helping ensure our technology performs reliably in real-world conditions. Success in this role requires curiosity, attention to detail, and a strong sense of ownership. You should enjoy investigating problems, working directly with customers and retail environments, and collaborating closely with engineering, product, and operations teams to improve both our product and our processes. Location: In-person in Kendall Square, Cambridge, with regular travel to retail stores throughout the Boston area and occasional regional travel. Salary: $65,000 - $80,000 annually What You’ll Do Conduct product testing and data collection in retail store environments Travel to customer sites to evaluate system performance under real-world conditions Collect, validate, and analyze datasets used to improve product accuracy and reliability Test new product features, mobile applications, and workflows before deployment Investigate bugs, edge cases, and unexpected behavior, providing detailed feedback to engineering teams Perform basic scripting, troubleshooting, and debugging to support testing activities Improve and document testing and data collection processes to increase quality, consistency, and efficiency Assist with map edits, data quality reviews, and operational support activities Collaborate closely with engineering, product, and operations teams to prioritize issues and drive improvements Become a product expert and help represent customer and field perspectives within the organization Qualifications 1+ years of experience in a technical, operational, support, research, testing, or related role Strong attention to detail and ability to execute rigorous, repeatable testing processes Experience running scripts and working with technical tools Basic Python programming or scripting experience Strong problem-solving skills and ability to work independently in ambiguous environments Excellent written and verbal communication skills Professional, customer-facing demeanor Ability and willingness to travel regularly to retail locations Reliable, accountable, and highly organized Associate's or Bachelor's degree in a technical field or equivalent practical experience Nice to Have Experience with product testing, field testing, QA, or beta testing Experience collecting, validating, or analyzing data Experience in retail, customer support, customer success, field operations, or deployment roles Familiarity with Python, SQL, or data analysis tools Experience supporting data pipelines, data quality monitoring, or operational tooling Spanish language proficiency Startup or early-stage company experience Why Cartesian Work on hard, real-world problems with immediate and visible impact Join a small, highly technical team with significant ownership and autonomy Build systems that are deployed and used globally Collaborative, thoughtful, low-ego culture focused on learning and execution Opportunity to become a product expert and grow into roles across operations, deployment, testing, and product In-person team culture in the heart of Kendall Square, Cambridge If You’re Not Sure You’re a Perfect Fit We know that no one checks every box—and we don’t expect you to. If this role sounds exciting to you, and you think you could contribute to Cartesian’s mission, we encourage you to apply even if your experience doesn’t perfectly match the description. We care deeply about people who are curious, thoughtful, and motivated to learn, and we believe strong teams are built from a diversity of backgrounds, experiences, and perspectives. Interview Process Introductory conversation focused on motivation, background, and fit Technical exercise involving testing, analysis, and basic coding/problem-solving Follow-up technical discussion focused on reasoning, troubleshooting, and decision-making Final conversation with the hiring manager focused on ownership, communication, and culture fit References and offer", "summaryDescription" : "Product Data Collection Specialist at Cartesian Systems. Skills: Product testing, Data collection, Field operations. Conduct product testing. Collect data", "postedDate" : "2026-06-14T08:43:04.758", "createdAt" : "2026-06-14T08:43:04.758", "lastUpdated" : "2026-06-15T13:30:59.027", "ingestTimestamp" : "2026-06-14T08:43:04.758", "mongoId" : "6a2c6d0574d8ee00a091cc71", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 80000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Scripting", "Troubleshooting", "Debugging", "Product testing", "Data collection", "Field operations", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Indoor environments", "Retail industry", "In-store inventory visibility" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2523df74d8ee00a00e05fe", "title" : "Data Collection Contractor", "company" : "Obvio", "industry" : "Operations", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Data Collection Contractor in College Park, United States, adjusted for the technology industry." }, "location" : "College Park, MD / Mid-Atlantic Region", "locations" : [ "College Park, MD / Mid-Atlantic Region" ], "timestamp" : "2026-06-14T21:26:35.490", "fingerprint" : "9b7d9c750499c5d98ae545bab4909996fb8ad1d00d710512cbe55f4603c99a10", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/obvio/4effa14c-d785-4703-a1a2-19d90f8d4bb0/application", "externalId" : "4effa14c-d785-4703-a1a2-19d90f8d4bb0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "College Park", "state" : "Maryland", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9806660,-76.9369189" }, { "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "workMode" : "onsite" }, { "state" : "Delaware", "country" : "United States", "continent" : "na", "workMode" : "onsite" }, { "state" : "Virginia", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "College Park, Maryland, United States; Pennsylvania, United States; Delaware, United States; Virginia, United States", "employmentType" : "CONTRACT", "professionalSkills" : [ "Traffic behavior studies", "Field data collection", "AI traffic safety" ], "hardSkillsList" : [ "Equipment setup", "Data upload" ], "softSkillsList" : [ "Dependable", "Attention to detail" ], "hardSkills" : [ { "name" : "Equipment setup", "level" : "intermediate" }, { "name" : "Data upload", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Dependable" }, { "name" : "Attention to detail" } ], "majorSkills" : "Data collection, Field operations", "majorSkillsList" : [ "Data collection", "Field operations" ], "coreResponsibilities" : "Travel to traffic study deployment locations, Set up roadside traffic study equipment, Monitor roadside traffic study equipment, Deploy multiple cameras or sensors, Manage multiple cameras or sensors, Monitor study location, Ensure equipment is positioned safely, Ensure equipment is positioned accurately, Ensure equipment is positioned consistently, Follow field procedures, Follow safety protocols, Follow deployment instructions, Upload collected data, Recharge provided equipment, Maintain provided equipment, Coordinate with Obvio team, Meet with team in College Park", "teamCollaboration" : "Coordinate with Obvio team", "domainKnowledge" : "AI; Transportation technology; Public safety; Smart cities", "domainList" : [ "ai", "transportation-technology", "public-safety", "smart-cities" ], "domainSpecificKnowledge" : [ "AI", "Transportation technology", "Public safety", "Smart cities" ], "specialRequirements" : "Travel up to two hours roundtrip, Availability 3-4 days per week, Periodic meetings in College Park", "qualificationsBasic" : "Personal vehicle, Valid driver's license, Willingness to travel, Reliable home internet, Ability to recharge equipment", "qualificationsPreferred" : "Technical education or experience, Computer science background, Engineering background, Data science background, Transportation background, Field operations background, Recent graduates encouraged, Graduate students encouraged, Hands-on technical field experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT OBVIO AI Each year, more than 40,000 people in the U.S. leave home and never make it back due to traffic crashes. At Obvio, we believe these deaths are preventable. We deploy solar-powered, AI-assisted cameras to enforce traffic laws where pedestrians are most vulnerable—automating enforcement in ways that traditional systems cannot. Our approach has already led to a 50% reduction in reckless driving in early partner cities. Founded by the team behind Motive's AI dashcam and backed by Bain Capital Ventures and Khosla Ventures, we are building the intelligence layer for safer streets globally. ABOUT THE OPPORTUNITY Obvio is seeking a contract Field Data Collection Technician to support traffic behavior studies across the Mid-Atlantic region, including Pennsylvania, Delaware, Maryland, and Virginia. These studies will focus on areas such as school zones, high-incident intersections, and busy pedestrian corridors. This is a high-visibility initiative, with findings expected to be shared with media outlets, local newspapers, and public officials. This opportunity is ideal for someone who enjoys hands-on technical work, is comfortable working independently in the field after training, and has an interest in AI, transportation technology, public safety, or real-world data collection. Contractors will receive all necessary field equipment, including tripods, cameras, speed sensors, laptops, safety vests, and related materials. Obvio will also provide training on field deployment procedures, equipment setup, safety expectations, and data upload requirements. WHAT YOU’LL DO - Travel to traffic study deployment locations across the Mid-Atlantic region - Set up and monitor roadside traffic study equipment, including cameras, speed sensors, tripods, laptops, and related hardware - Deploy and manage multiple cameras or sensors at once according to study guidelines - Monitor each study location for approximately two hours - Ensure equipment is positioned safely, accurately, and consistently - Follow Obvio’s field procedures, safety protocols, and deployment instructions - Upload collected data at the end of each day using a reliable home internet connection - Recharge and maintain provided equipment, including laptops and field hardware - Coordinate with the Obvio team based in College Park as needed - Meet with the team in College Park, MD from time to time for training, equipment handoff, or operational coordination WHAT WE’RE LOOKING FOR - Highly motivated, dependable, and comfortable working independently in the field - Strong attention to detail and ability to follow technical instructions carefully - Comfortable transporting, setting up, and troubleshooting field equipment - Willingness to work outdoors and adapt to changing field conditions - Interest in AI, transportation technology, smart cities, public safety, or real-world data collection - Comfortable with a flexible field schedule based on deployment needs - Technical education or experience preferred, such as computer science, engineering, data science, transportation, field operations, or a related area - Recent graduates, graduate students, or candidates with hands-on technical field experience are encouraged to apply REQUIREMENTS - Personal vehicle for transporting equipment to deployment locations - Valid driver’s license - Willingness to travel to field sites across Pennsylvania, Delaware, Maryland, and Virginia - Ability to travel up to approximately two hours roundtrip per day, depending on deployment location - Access to reliable home internet, not a mobile hotspot, for end-of-day data uploads - Ability to recharge the provided laptop and equipment daily - Availability for 3–4 days per week, with hours varying based on study schedules and travel needs - Ability to periodically meet with the team in College Park, MD WHAT OBVIO PROVIDES - Paid contract opportunity - Paid training - All necessary field equipment, including cameras, tripods, speed sensors, laptops, safety vests, and related materials - Mileage reimbursement for approved travel - Hands-on experience with real-world AI traffic safety technology - Opportunity to contribute to a high-impact public safety initiative WHY OBVIO - Your work will help save lives and improve road safety - Series A of $22M led by Bain Capital - Fast-moving startup environment with meaningful ownership - Competitive compensation and early-stage equity Obvio is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Obvio considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. Obvio is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.", "summaryDescription" : "Data Collection Contractor at Obvio. Skills: Data collection, Field operations. Travel to traffic study deployment locations. 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You'll also: Guide customers on workflow feasibility and data collection best practices Collaborate with implementation teams to define and validate technical requirements Evaluate scalability of annotation scenarios and provide strategic recommendations Influence technical documentation and guidelines Basic Qualifications: - Demonstrated experience in effectively defining optimal data creation strategies and executing them - Associate's degree or equivalent work experience - 2+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts - Outstanding customer communication and management skills, especially in technical consultation - Ability to translate complex technical concepts into tactical applications Preferred Qualifications: - Bachelor's degree in Business, Computer Science, or related field - Working knowledge of JSON, Command Line, and Python - Project management expertise - Technical account management experience - Background in customer success or solution consulting Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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You'll drive business value through technical advisory and partnership building, creating and managing workstreams that delight our customers and deliver meaningful change for the models that back them. Key job responsibilities Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements Coordinate across teams to ensure seamless delivery and stakeholder alignment Own relationships with customer scientists, becoming their go-to partner for ML data solutions Provide consultation on ML workflow capabilities, helping customers maximize value Monitor and optimize collection health metrics to ensure customer success Drive customer adoption through providing technical value and the provision of an exemplary customer experience. You'll also: Guide customers on workflow feasibility and data collection best practices Collaborate with implementation teams to define and validate technical requirements Evaluate scalability of annotation scenarios and provide strategic recommendations Influence technical documentation and guidelines Basic Qualifications: - Bachelor's degree in a relevant field or equivalent work experience - Experience working with customers with a passion for delivering exceptional service, or experience in technical support and experience that includes strong analytical skills, attention to detail, and effective communication abilities - Demonstrated experience in effectively defining optimal data creation strategies and executing them - 2+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts - Ability to translate complex technical concepts into tactical applications Preferred Qualifications: - Bachelor's degree in Computer Science, Business or a related field - Experience in project management - 2+ years of technical support experience, or experience in leadership or account management positions - Working knowledge of JSON, Command Line, and Python - Background in customer success or solution consulting Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Data Solutions Lead, Data Collection Excellence at ADCI HYD 16 SEZ. Skills: ML data solutions, GenAI data collections. Drive ML/GenAI solutions. Document ML/GenAI solutions", "postedDate" : "2026-06-13T01:30:07.233", "createdAt" : "2026-06-13T01:30:07.233", "lastUpdated" : "2026-06-15T01:22:24.653", "ingestTimestamp" : "2026-06-13T01:30:07.233", "mongoId" : "69cf3f082beec4dd3d9342ef", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381454/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "ML data operations", "Data annotation", "ML workflows", "ML concepts", "Leadership", "ML data solutions", "GenAI data collections", "Technical advisory", "Partnership building", "Customer relationships", "Workflow capabilities", "Collection health metrics", "Workflow feasibility", "Annotation scenarios", "Project management", "JSON", "Command Line" ], "skillCount" : 17, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a74cd74d8ee00a06559da", "title" : "Pensions on Divorce Specialist (Client Facing)", "company" : "Octopus Money", "industry" : "Financial Services", "salary" : { "min" : 40000.0, "max" : 45000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "certifications" : [ "PMI", "DipPFS" ], "timestamp" : "2026-06-14T20:55:00.043", "fingerprint" : "597dcedc29d5b6fb3907a5fe5fe4de7ac52cd487677bb056739806b1aa22e323", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/octopusmoney/jobs/6012336004", "externalId" : "6012336004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "professionalSkills" : [ "Pension sharing calculations", "Pension benefits interpretation", "Scheme-specific benefit structures" ], "hardSkillsList" : [ "Pension calculation", "Case management", "Workflow management" ], "hardSkills" : [ { "name" : "Pension calculation", "level" : "intermediate" }, { "name" : "Case management", "level" : "intermediate" }, { "name" : "Workflow management", "level" : "intermediate" } ], "majorSkills" : "Pensions on Divorce, Client Relationship Management, Technical Pensions Work", "majorSkillsList" : [ "Pensions on Divorce", "Client Relationship Management", "Technical Pensions Work" ], "coreResponsibilities" : "Act as primary point of contact, Communicate complex pension matters, Provide reassurance and guidance, Manage client expectations proactively, Lead client discussions, Maintain high-quality client experience, Oversee pension sharing calculations, Review pension sharing outputs, Interpret pension benefits, Work with CETVs, Ensure accuracy in calculations, Ensure consistency in documentation, Apply pension knowledge practically, Manage divorce-related pension cases, Prioritise workload effectively, Coordinate with internal teams, Identify and resolve risks, Maintain clear case records, Work closely with solicitors, Work with financial advisers, Contribute to collaborative approach, Support process improvement", "teamCollaboration" : "Internal teams; Solicitors; Financial advisers", "domainKnowledge" : "UK pension schemes; Defined Benefit schemes; Defined Contribution schemes; Pension sharing mechanisms; Divorce proceedings", "domainList" : [ "uk-pension-schemes", "defined-benefit-schemes", "defined-contribution-schemes", "pension-sharing-mechanisms", "divorce-proceedings" ], "domainSpecificKnowledge" : [ "UK pension schemes", "Defined Benefit schemes", "Defined Contribution schemes", "Pension sharing mechanisms", "Divorce proceedings" ], "toolProficiency" : [ "Pension calculation tools" ], "communicationSkills" : "Clear communication; Accessible communication", "documentationSkills" : "High standards documentation", "qualificationsBasic" : "3+ years pensions administration, 3+ years pensions consultancy, 3+ years financial advice, 3+ years technical pensions role, Experience analysing pension schemes, Experience client-facing role, Experience primary client contact", "qualificationsPreferred" : "Pensions Advisory Group knowledge", "workSiteFlexibility" : "Flexible", "rawDescription" : "\uD83C\uDFC6 \uD83C\uDF89 \uD83C\uDFC6 We're proud to announce we've won Advice firm of the year at the Money Marketing Awards \uD83C\uDFC6 \uD83C\uDF89 \uD83C\uDFC6 We are looking for someone with strong communication and analytical skills to join Octopus as a Pensions on Divorce Specialist. In this role, you will take ownership of the pension-related work within our divorce cases. This is a client-facing role where you will act as the primary point of contact throughout the lifecycle of each case. You will oversee the use of our pension calculation tools and technical outputs, while ensuring clients feel supported, informed, and confident during what is often a complex and sensitive period. About Octopus Money \uD83D\uDC19 We’re on a mission to become the most recommended financial services business in the UK \uD83D\uDC19 Money shapes every part of life. Yet most people never get the support they need: Half of Brits reach retirement age without enough to live the life they want Financial stress is a leading cause of poor mental health Only 8% of people have access to 1-to-1 financial advice There’s no shortage of information. What people actually need is clarity, guidance and a plan that makes sense for them. That’s where we come in. Octopus Money brings together financial planning, investment expertise and smart technology so people can understand their options and take action with confidence. We help people build a clear plan for their savings, investments and pensions and make investing simple with managed portfolios built by experts. We also support employers who want their teams to feel more secure and in control. Some people need regulated advice. Others need coaching. Many need both at different points in life. Our service adapts to what each person needs. We believe everyone deserves money support that works for real life. The role As Pensions on Divorce Specialist, your day will involve: Client Relationship Management (Core Focus) Act as the primary point of contact for clients, building strong, trusted relationships throughout the divorce process. Communicate complex pension matters in a clear, calm, and accessible way. Provide reassurance and guidance to clients navigating sensitive financial and personal circumstances. Manage expectations proactively, ensuring clients are kept informed at every stage. Lead client discussions and maintain a consistent, high-quality experience from instruction through to completion. Act as an introducer to other Octopus Group companies and services where appropriate. Technical Pensions Work Oversee and review pension sharing calculations and related outputs. Interpret pension benefits across Defined Benefit (DB), Defined Contribution (DC), and hybrid arrangements. Work confidently with Cash Equivalent Transfer Values (CETVs) and scheme-specific benefit structures. Ensure absolute accuracy and consistency across all technical calculations and supporting documentation. Apply your pension knowledge in a practical, case-focused manner. Case & Workflow Management Manage a portfolio of divorce-related pension cases end-to-end. Prioritise your workload effectively to meet deadlines and client expectations. Coordinate with internal teams to ensure timely and accurate delivery of outputs. Identify and resolve risks or issues early in the process. Maintain clear case records and ensure high standards of documentation. Professional Liaison & Collaboration Work closely with solicitors, financial advisers, and other professionals involved in the divorce proceedings. Contribute to a collaborative, service-led approach across all client interactions. Support the continuous improvement of our internal processes, templates, and client experience. We value people who: Make every conversation matter You care about how you make people feel. You communicate clearly, listen well and build trust with customers and colleagues. You want every interaction to move things forward. Move with urgency and focus You like getting stuck in. You care about making progress, not perfection. You stay focused on what matters, learn quickly and find smart ways to keep things moving. Own it You take responsibility for your work and the outcomes it creates. You’re comfortable solving problems, making decisions and tackling challenges head on. You hold yourself to a high standard and want to make a real impact. What we look for A relevant pensions qualification and experience (e.g., PMI, DipPFS). Strong knowledge of UK pension schemes, including DB and DC arrangements. A clear understanding of pension sharing and how these mechanisms operate within divorce proceedings. Familiarity with Cash Equivalent Transfer Values (CETVs). Awareness of relevant industry guidance (e.g., Pensions Advisory Group) is desirable. Experience 3+ years’ experience in pensions administration, consultancy, financial advice, or a technical pensions role. Experience analysing multiple different types of pension schemes. Proven experience in a client-facing role, ideally involving complex or sensitive financial matters. Experience acting as the primary contact for clients. The interview process Our interview process typically includes: An intro call with our talent team A competency-based interview with the hiring manager A panel interview with a short task presentation A conversation focused on how you work and what you value We’ll keep it simple and respectful of your time, and you’ll meet the people you’ll actually work with. Our average process takes around four weeks but we’ll always work around your availability. What’s in it for you Base salary: £40,000 to £45,000 DOE + benefits We want people to grow here, to feel supported and to feel proud of the impact they make! You’ll get: 18 days a year working from anywhere (for non regulated roles) Bonus for non-commission based roles Company pension Private medical insurance Enhanced parental leave Birthday day off A supportive team who care about what they do The chance to help people improve their lives Please note, as a regulated business we are required to run background checks for all employees which covers adverse financial and unspent convictions. These will only take place upon a successful job offer. About Octopus Group We’re part of the Octopus Group: a privately-owned business that’s been doing things differently for 25 years. Octopus sets out to build businesses that will outlive us and create a better world for future generations, including brands such as Octopus Energy, Octopus Investments and Octopus Legacy. -- We believe in equal financial education for everybody, no matter their background. We pride ourselves on building an inclusive working environment where diversity is celebrated. We do not and never will discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you require support completing your application please contact applications@octopusmoney.com", "summaryDescription" : "Pensions on Divorce Specialist (Client Facing) at Octopus Money. Skills: Pensions on Divorce, Client Relationship Management, Technical Pensions Work. Act as primary point of contact. Communicate complex pension matters", "postedDate" : "2026-06-11T20:01:56.696", "createdAt" : "2026-06-11T20:01:56.696", "lastUpdated" : "2026-06-14T20:55:00.043", "ingestTimestamp" : "2026-06-11T20:01:56.696", "mongoId" : "6a2a74cd74d8ee00a06559da", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Pension calculation", "Case management", "Workflow management", "Pensions on Divorce", "Client Relationship Management", "Technical Pensions Work", "Pension sharing calculations", "Pension benefits interpretation", "Scheme-specific benefit structures", "UK pension schemes", "Defined Benefit schemes", "Defined Contribution schemes", "Pension sharing mechanisms", "Divorce proceedings", "PMI", "DipPFS", "Pension calculation tools" ], "skillCount" : 17, "jobCategory" : "other", "jobSubcategory" : "partnerships", "dataQualityScore" : 0.7777778, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "69c94a6d9bc74574cbbb3763", "title" : "Data Collection Associate, V-CARE", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 15.0, "max" : 21.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T02:05:35.308", "fingerprint" : "28fbcaa0cec7b81a5778731ca71837ffd3757bba9f7fe7032cf4e40f32141301", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194804/apply", "externalId" : "48451126-d63a-4f07-a3d3-8e592da01d61", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Adhere to data collection protocol, Follow SOP, Complete project objectives, Work one-on-one with research participants, Moderate research participants, Assist research participants, Ensure research objectives are met, Support collection projects operations, Report on collection projects, Moderate collection projects, Own defined tasks within projects, Improve data collection processes, Deliver high quality work, Communicate internally with team members, Identify issues, Propose solutions for sustainability, Support several projects, Accept re-prioritization, Perform basic troubleshooting tasks, Escalate technical issues", "teamCollaboration" : "Partner with Program Coordinators; Partner with Data Collection Leads; Partner with Data Collection Specialists", "toolProficiency" : [ "Microsoft Office" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Work indoor/outdoor 4-5 days, Travel to multiple sites, Lift up to 30lbs", "qualificationsBasic" : "Knowledge of Microsoft Office products, Reliable transportation", "qualificationsPreferred" : "Experience in research, Experience in data collection, Experience using Confluence, Experience using Quip, Experience using Jira, Experience using Salesforce, End-to-end experience with data collections, Hands-on experience with data collections, Experience moderating a 1:1 session, Experience moderating sessions with users of different age, Experience moderating sessions with users of different demographics, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a work from home role) * Lift up to 30lbs when needed Basic Qualifications: - Knowledge of Microsoft Office products and applications - A good sense of humor, a positive attitude and great team work skills - Reliable transportation Preferred Qualifications: - Experience in research or data collection - Experience using Confluence, Quip, Jira, Salesforce - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, VA, Arlington - 15.00 - 21.00 USD hourly", "summaryDescription" : "Data Collection Associate, V-CARE at Amazon.com Services LLC. Adhere to data collection protocol. Follow SOP", "postedDate" : "2026-06-13T12:33:37.800", "createdAt" : "2026-06-13T12:33:37.800", "lastUpdated" : "2026-06-15T02:05:35.308", "ingestTimestamp" : "2026-06-13T12:33:37.800", "mongoId" : "69c94a6d9bc74574cbbb3763", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194804/apply", "salaryAnnualMin" : 31200, "salaryAnnualMax" : 43680, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Microsoft Office" ], "skillCount" : 1, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a25145b74d8ee00a00bb571", "title" : "Data Collection Associate, V-CARE", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 20.0, "max" : 22.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T04:22:16.377", "fingerprint" : "234a17b7652e40eeb540acda1dd4a7495c204bbacd472afab1c2bf0ae718779c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440753/apply", "externalId" : "84ab52f4-51b6-4086-aaf3-1ae2012cced9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Data collection" ], "hardSkillsList" : [ "Data collection procedures" ], "softSkillsList" : [ "Interpersonal skills" ], "hardSkills" : [ { "name" : "Data collection procedures", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Interpersonal skills" } ], "majorSkills" : "Data collection, Moderation", "majorSkillsList" : [ "Data collection", "Moderation" ], "coreResponsibilities" : "Follow clear instructions, Apply best responses, Perform data collected tasks, Adhere to data collection protocol, Follow SOP, Complete project objectives, Work one-on-one with research participants, Moderate research process, Assist research participants, Support day-to-day operations, Report on collection projects, Moderate collection projects, Own defined tasks, Improve data collection processes, Deliver high quality work, Communicate internally with team members, Identify issues, Propose solutions, Support several projects, Accept re-prioritization, Perform basic troubleshooting, Escalate technical issues", "teamCollaboration" : "Internal team communication", "domainKnowledge" : "Consumer electronics", "domainList" : [ "consumer-electronics" ], "domainSpecificKnowledge" : [ "Consumer electronics" ], "toolProficiency" : [ "Confluence", "Quip", "Jira", "Salesforce" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Work indoor/outdoor, Travel to multiple sites, Lift up to 30lbs, Comfort with gaming controllers, Proficiency with joysticks", "outcomesObjectives" : "Ensure research objectives are met", "qualificationsBasic" : "Knowledge of Microsoft Office products, Reliable transportation", "qualificationsPreferred" : "Experience in research or data collection, Experience using Confluence, Experience using Quip, Experience using Jira, Experience using Salesforce, End-to-end data collections experience, Experience moderating 1:1 session independently, Experience moderating sessions with different demographics, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a work from home role) * Lift up to 30lbs when needed * Comfort and proficiency with gaming controllers, joysticks, or similar real-time navigation tools, with the ability to apply those skills in an operational environment. Basic Qualifications: - Knowledge of Microsoft Office products and applications - A good sense of humor, a positive attitude and great team work skills - Reliable transportation Preferred Qualifications: - Experience in research or data collection - Experience using Confluence, Quip, Jira, Salesforce - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, WA, Bellevue - 20.00 - 22.00 USD hourly", "summaryDescription" : "Data Collection Associate, V-CARE at Amazon.com Services LLC. Skills: Data collection, Moderation. Follow clear instructions. 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Do you thrive providing consultation in an ambiguous environment, all while building customer partnerships? Do you enjoy leading dynamic and fast paced teams with global impact? We're looking for a Data Solutions Lead Managers to join our growing team! About the Role: As a Data Solutions Lead Manager, you will manage a team of Data Collection owners who provide expert consultation on ML/Gen AI data collections and own execution from start to finish. You'll drive business value by providing regular feedback and ensuring your team is working efficiently, manage active escalations and help them build long standing partnerships with customers. If necessary you will have the technical capability to step in and take control of high priority or challenging collections, delighting our customers and deliver meaningful change for the models that back them. Key job responsibilities Manage and monitor your teams performance, creating a culture of ownership in ambiguous situations Act as an SME Manager, gaining deep domain knowledge in the field of data collection for AI and relevant products Own global program improvement initiatives for the Data Collection Excellence Organization Coordinate across global teams, influencing stakeholders to ensure effective and expedient delivery Monitor and optimize collection health metrics to ensure customer success Drive customer adoption through providing technical value and the provision of an exemplary customer experience. You'll also: Act as an escalation point for challenging data collections, directly assisting senior level customers and your team. Collaborate with product and technology teams to implement effective long term solutions Consolidate customer feedback and translate it into improvement initiatives Basic Qualifications: - 5+ years of people management experience - Experience in project management including resource planning, managing schedules, reporting project status and prioritizing tasks Preferred Qualifications: - Bachelor's degree in Computer Science, Business or a related field - 2+ years of technical support experience, or experience in leadership or account management positions Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, BELLEVUE - 81,000.00 - 141,800.00 USD annually", "summaryDescription" : "Data Solutions Lead Manager, Data Collection Excellence at Amazon.com Services LLC. Manage and monitor team performance. Create a culture of ownership", "postedDate" : "2026-06-13T17:46:51.723", "createdAt" : "2026-06-13T17:46:51.723", "lastUpdated" : "2026-06-15T07:48:53.979", "ingestTimestamp" : "2026-06-13T17:46:51.723", "mongoId" : "69d5e4952beec4dd3d931827", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385651/apply", "salaryAnnualMin" : 81000, "salaryAnnualMax" : 141800, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Leadership", "Resource planning", "Managing schedules", "Reporting project status", "Prioritizing tasks", "Data collection for AI", "ML/Gen AI data collections" ], "skillCount" : 7, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a25145b74d8ee00a00bb570", "title" : "Data Collection Associate, V-CARE", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 16.0, "max" : 24.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T03:47:47.735", "fingerprint" : "f8e653d48a9908cdc87724dda5c7efa81486d75bd47d95d0b2ca1a9adb3f386f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440754/apply", "externalId" : "02e4af73-48cd-446a-837a-f0c5c5247c9b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Data collection" ], "hardSkillsList" : [ "Moderating sessions" ], "hardSkills" : [ { "name" : "Moderating sessions", "level" : "intermediate" } ], "majorSkills" : "Data collection, Research participants", "majorSkillsList" : [ "Data collection", "Research participants" ], "coreResponsibilities" : "Follow instructions, Apply best responses, Perform data collected tasks, Partner with coordinators, Adhere to data collection protocol, Follow SOP, Complete project objectives, Work with research participants, Moderate research process, Assist research participants, Support day-to-day operations, Report on operations, Moderate sessions, Own defined tasks, Improve data collection processes, Deliver high quality work, Communicate with team members, Identify issues, Propose solutions, Support several projects, Accept re-prioritization, Perform basic troubleshooting, Escalate technical issues, Work indoor/outdoor, Travel to multiple sites, Lift up to 30lbs", "teamCollaboration" : "Internal team communication", "domainKnowledge" : "Consumer electronic research", "domainList" : [ "consumer-electronic-research" ], "domainSpecificKnowledge" : [ "Consumer electronic research" ], "toolProficiency" : [ "Confluence", "Quip", "Jira", "Salesforce" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Work indoor/outdoor, Travel up to 50 miles, Lift up to 30lbs", "qualificationsBasic" : "Knowledge of Microsoft Office, Reliable transportation", "qualificationsPreferred" : "Experience in research, Experience in data collection, Experience using Confluence, Experience using Quip, Experience using Jira, Experience using Salesforce, End-to-end data collections experience, Moderating 1:1 session independently, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a work from home role) * Lift up to 30lbs when needed * Comfort and proficiency with gaming controllers, joysticks, or similar real-time navigation tools, with the ability to apply those skills in an operational environment. Basic Qualifications: - Knowledge of Microsoft Office products and applications - A good sense of humor, a positive attitude and great team work skills - Reliable transportation Preferred Qualifications: - Experience in research or data collection - Experience using Confluence, Quip, Jira, Salesforce - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 16.00 - 24.00 USD hourly", "summaryDescription" : "Data Collection Associate, V-CARE at Amazon.com Services LLC. Skills: Data collection, Research participants. Follow instructions. Apply best responses", "postedDate" : "2026-06-13T08:29:33.665", "createdAt" : "2026-06-13T08:29:33.665", "lastUpdated" : "2026-06-15T03:47:47.735", "ingestTimestamp" : "2026-06-13T08:29:33.665", "mongoId" : "6a25145b74d8ee00a00bb570", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440754/apply", "salaryAnnualMin" : 33280, "salaryAnnualMax" : 49920, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Moderating sessions", "Data collection", "Research participants", "Consumer electronic research", "Confluence", "Quip", "Jira", "Salesforce" ], "skillCount" : 8, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a6d9bc74574cbbb3760", "title" : "Data Collection Associate, V-CARE", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 16.0, "max" : 24.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T02:36:16.124", "fingerprint" : "47d0d28926180d2849f602840a7418b7ed4f82cf557abea56ee6d742dfd90725", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194808/apply", "externalId" : "9d05e18a-f86c-4d95-ae6a-fcc44adbaffe", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Follow clear instructions, Apply best responses to multiple choice situations, Perform data collected related tasks, Adhere to data collection protocol, Follow SOP to complete project objectives, Work one-on-one with research participants, Moderate research process, Assist research participants, Support day-to-day operations of collection projects, Report on collection projects, Moderate collection projects, Own defined tasks within projects, Improve parts of the data collection processes, Deliver high quality work, Communicate internally with team members, Identify issues, Propose solutions for long term sustainability, Support several projects at one time, Accept re-prioritization as required, Perform basic troubleshooting tasks, Escalate technical issues as needed, Work indoor/outdoor in the field, Travel to multiple sites", "teamCollaboration" : "Partner closely with Program Coordinators; Partner closely with Data Collection Leads; Partner closely with Data Collection Specialists; Communicate internally with team members", "toolProficiency" : [ "Microsoft Office", "Confluence", "Quip", "Jira", "Salesforce" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Travel to multiple sites within 50 miles, Lift up to 30lbs, Work indoor/outdoor 4-5 days per week", "qualificationsBasic" : "Knowledge of Microsoft Office products, Reliable transportation", "qualificationsPreferred" : "Experience using Confluence, Experience using Quip, Experience using Jira, Experience using Salesforce, Experience moderating a 1:1 session with users independently in the field, Experience moderating sessions with users of different age and demographics, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a remote role) * Lift up to 30lbs when needed Basic Qualifications: - Knowledge of Microsoft Office products and applications - Reliable transportation Preferred Qualifications: - Experience using Confluence, Quip, Jira, Salesforce - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 16.00 - 24.00 USD hourly", "summaryDescription" : "Data Collection Associate, V-CARE at Amazon.com Services LLC. Follow clear instructions. Apply best responses to multiple choice situations", "postedDate" : "2026-06-13T06:46:03.656", "createdAt" : "2026-06-13T06:46:03.656", "lastUpdated" : "2026-06-15T02:36:16.124", "ingestTimestamp" : "2026-06-13T06:46:03.656", "mongoId" : "69c94a6d9bc74574cbbb3760", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194808/apply", "salaryAnnualMin" : 33280, "salaryAnnualMax" : 49920, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Microsoft Office", "Confluence", "Quip", "Jira", "Salesforce" ], "skillCount" : 5, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a7f9bc74574cbbb48a1", "title" : "Senior Data Solutions Lead, Data Collection Excellence", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Technical Account Management, Artificial Intelligence", "salary" : { "min" : 74500.0, "max" : 130300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T05:29:30.204", "fingerprint" : "84faf7bf5c24c4b3f6c7738581ffd13beb18759274a180ac3b1eb7a9d13a3d84", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3197054/apply", "externalId" : "3ecf8490-6a1c-44a7-8769-925b69a3d4a9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "ML, Gen AI", "professionalSkills" : [ "Technical advisory", "Partnership building", "Workflow feasibility", "Annotation scalability" ], "hardSkillsList" : [ "ML workflow capabilities", "Collection health metrics" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "ML workflow capabilities", "level" : "intermediate" }, { "name" : "Collection health metrics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data collection, ML solutions, Customer success", "majorSkillsList" : [ "Data collection", "ML solutions", "Customer success" ], "coreResponsibilities" : "Drive ML/GenAI solutions, Document ML/GenAI solutions, Transform research objectives, Create data collection requirements, Own global team improvement projects, Coordinate across teams, Ensure seamless delivery, Ensure stakeholder alignment, Own relationships with customer scientists, Provide expert consultation, Monitor collection health metrics, Optimize collection health metrics, Drive customer adoption, Provide technical value, Provide exemplary customer experience, Guide customers on workflow feasibility, Guide customers on data collection best practices, Collaborate with implementation teams, Define technical requirements, Validate technical requirements, Evaluate scalability of annotation scenarios, Provide strategic recommendations, Influence technical documentation, Author technical documentation, Influence technical guidelines, Author technical guidelines", "teamCollaboration" : "Customer scientists; Implementation teams; Global team", "projectManagementSkills" : [ "Project management", "Program management" ], "domainKnowledge" : "ML data solutions; ML workflow capabilities; Data collection best practices; Annotation scalability", "domainList" : [ "ml-data-solutions", "ml-workflow-capabilities", "data-collection-best-practices", "annotation-scalability" ], "domainSpecificKnowledge" : [ "ML data solutions", "ML workflow capabilities", "Data collection best practices", "Annotation scalability" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical documentation; Technical guidelines", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Deliver meaningful change; Make global process efficient", "qualificationsBasic" : "Experience working with customers, Analytical skills, Attention to detail, Effective communication abilities", "qualificationsPreferred" : "Master's degree, Experience in project management, Experience in program management, 4+ years of technical support experience, Experience in leadership positions, Experience in account management positions", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about bridging the gap between technical ML solutions and customer success? Do you thrive providing consultation in an ambiguous environment, all while building customer partnerships? Do you have experience managing complex technical projects from end to end? We're looking for a Senior Data Solutions Lead to join our growing team! About the Role: As a Data Solutions Lead, you'll be the trusted advisor for our AGI-DS scientists, providing expert consultation on high complexity ML/Gen AI data collections and manage emerging customer relationships. You'll drive business value through technical advisory and partnership building, creating and managing workstreams that delight our customers and deliver meaningful change for the models that back them, while simultaneously making global process more efficient. Key job responsibilities What You'll Do: Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements Own global team improvement projects Coordinate across teams to ensure seamless delivery and stakeholder alignment Own relationships with customer scientists, becoming their go-to partner for ML data solutions Provide expert consultation on ML workflow capabilities, helping customers maximize value Monitor and optimize collection health metrics to ensure customer success Drive customer adoption through providing technical value and the provision of an exemplary customer experience. You'll also: Guide customers on workflow feasibility and data collection best practices Collaborate with implementation teams to define and validate technical requirements Evaluate scalability of annotation scenarios and provide strategic recommendations Influence and author technical documentation and guidelines Basic Qualifications: - Experience working with customers with a passion for delivering exceptional service, or experience in technical support and experience that includes strong analytical skills, attention to detail, and effective communication abilities Preferred Qualifications: - Master's degree in business administration, finance, economics, computer science, data science, engineering, or other related field - Experience in project or program management - 4+ years of technical support experience, or experience in leadership or account management positions Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Sunnyvale - 74,500.00 - 130,300.00 USD annually", "summaryDescription" : "Senior Data Solutions Lead, Data Collection Excellence at Amazon.com Services LLC. Skills: Data collection, ML solutions, Customer success. Drive ML/GenAI solutions. Document ML/GenAI solutions", "postedDate" : "2026-06-13T10:59:13.338", "createdAt" : "2026-06-13T10:59:13.338", "lastUpdated" : "2026-06-15T05:29:30.204", "ingestTimestamp" : "2026-06-13T10:59:13.338", "mongoId" : "69c94a7f9bc74574cbbb48a1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3197054/apply", "salaryAnnualMin" : 74500, "salaryAnnualMax" : 130300, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "ML workflow capabilities", "Collection health metrics", "Leadership", "Data collection", "ML solutions", "Customer success", "Technical advisory", "Partnership building", "Workflow feasibility", "Annotation scalability", "Project management", "Program management", "ML data solutions", "Data collection best practices" ], "skillCount" : 14, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a6d9bc74574cbbb3756", "title" : "Data Collection Associate, V-CARE", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 16.0, "max" : 24.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-14T22:27:01.343", "fingerprint" : "71fa44e5e691edfc7b1f596fb703859c6207901c2d8c1a144b0a226407454aa7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194803/apply", "externalId" : "3f9c4401-7ee0-4aa2-a218-8559f2666ac1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "hardSkillsList" : [ "Data collection" ], "softSkillsList" : [ "Teamwork" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Teamwork" } ], "majorSkills" : "Data collection", "majorSkillsList" : [ "Data collection" ], "coreResponsibilities" : "Adhere to data collection protocol, Follow SOP to complete project objectives, Moderate and assist research participants, Support day-to-day operations of collection projects, Own defined tasks within projects, Improve parts of the data collection processes, Deliver high quality work, Communicate internally with team members, Identify issues, Propose solutions for sustainability of processes, Support several projects at one time, Accept re-prioritization as required, Perform basic troubleshooting tasks, Escalate technical issues as needed, Work indoor/outdoor in the field, Travel to multiple sites", "teamCollaboration" : "Partner with Program Coordinators; Partner with Data Collection Leads; Partner with Data Collection Specialists; Communicate with team members", "domainKnowledge" : "Consumer electronic research", "domainList" : [ "consumer-electronic-research" ], "domainSpecificKnowledge" : [ "Consumer electronic research" ], "toolProficiency" : [ "Confluence", "Quip", "Jira", "Salesforce" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Travel to multiple sites within 50 miles, Lift up to 30lbs", "qualificationsBasic" : "Knowledge of Microsoft Office products, Reliable transportation", "qualificationsPreferred" : "Experience in research or data collection, Experience using Confluence, Quip, Jira, Salesforce, End-to-end, hands-on experience with aspects of data collections, Experience moderating a 1:1 session with users independently, Experience moderating sessions with users of different age and demographics, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a work from home role) * Lift up to 30lbs when needed Basic Qualifications: - Knowledge of Microsoft Office products and applications - A good sense of humor, a positive attitude and great team work skills - Reliable transportation Preferred Qualifications: - Experience in research or data collection - Experience using Confluence, Quip, Jira, Salesforce - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 16.00 - 24.00 USD hourly", "summaryDescription" : "Data Collection Associate, V-CARE at Amazon.com Services LLC. Skills: Data collection. Adhere to data collection protocol. Follow SOP to complete project objectives", "postedDate" : "2026-06-13T03:48:09.340", "createdAt" : "2026-06-13T03:48:09.340", "lastUpdated" : "2026-06-14T22:27:01.343", "ingestTimestamp" : "2026-06-13T03:48:09.340", "mongoId" : "69c94a6d9bc74574cbbb3756", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194803/apply", "salaryAnnualMin" : 33280, "salaryAnnualMax" : 49920, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection", "Teamwork", "Consumer electronic research", "Confluence", "Quip", "Jira", "Salesforce" ], "skillCount" : 7, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69cf3f092beec4dd3d93434a", "title" : "Data Collection Associate, V-CARE", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 20.0, "max" : 22.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T01:19:34.820", "fingerprint" : "5ed69561117886a2e9e1cbe93ad4c3c8343ce3d0edca196ff57d034a438711b5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381247/apply", "externalId" : "9b96c821-2ee9-4a60-ae13-a49538316438", "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", "coreResponsibilities" : "Adhere to data collection protocol, Follow SOP to complete project objectives, Moderate and assist research participants, Support day-to-day operations of collection projects, Own defined tasks within projects, Improve parts of the data collection processes, Deliver high quality work, Communicate internally with team members, Identify issues, Propose solutions for long term sustainability of processes, Support several projects at one time, Accept re-prioritization as required, Perform basic troubleshooting tasks on technical issues, Escalate technical issues as needed", "teamCollaboration" : "Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Work indoor/outdoor 4-5 days per week, Traveling to multiple sites within 50 miles, Lift up to 30lbs", "qualificationsBasic" : "Knowledge of Microsoft Office products, Reliable transportation", "qualificationsPreferred" : "Experience in research or data collection, Experience using Confluence, Quip, Jira, Salesforce, End-to-end, hands-on experience with aspects of data collections, Experience moderating a 1:1 session with users independently, Experience moderating sessions with users of different age and demographics is a big plus, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a work from home role) * Lift up to 30lbs when needed Basic Qualifications: - Knowledge of Microsoft Office products and applications - A good sense of humor, a positive attitude and great team work skills - Reliable transportation Preferred Qualifications: - Experience in research or data collection - Experience using Confluence, Quip, Jira, Salesforce - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, WA, Bellevue - 20.00 - 22.00 USD hourly", "summaryDescription" : "Data Collection Associate, V-CARE at Amazon.com Services LLC. Adhere to data collection protocol. Follow SOP to complete project objectives", "postedDate" : "2026-06-13T03:13:32.360", "createdAt" : "2026-06-13T03:13:32.360", "lastUpdated" : "2026-06-15T01:19:34.820", "ingestTimestamp" : "2026-06-13T03:13:32.360", "mongoId" : "69cf3f092beec4dd3d93434a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381247/apply", "salaryAnnualMin" : 41600, "salaryAnnualMax" : 45760, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2d0eed74d8ee00a0ad9b22", "title" : "Face to Face Fundraiser", "salary" : { "min" : 36000.0, "max" : 48000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Face to Face Fundraiser in Calgary, Canada, adjusted for the non-profit industry." }, "location" : "Calgary, AB", "locations" : [ "Calgary, AB" ], "timestamp" : "2026-06-15T14:12:54.773", "fingerprint" : "69ce8fced394f8d663132f0fab7b7ce54f01fad9a93a2c47dc5c4b5c721fb8b5", "source" : "jazzhr", "language" : "en", "externalId" : "gIZzhqhNqU", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Calgary", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "51.0456064,-114.0575410" } ], "locationText" : "Calgary, Alberta, Canada", "professionalSkills" : [ "Sales processes", "Client relationships", "Revenue generation", "Deal closure" ], "majorSkills" : "Fundraising, Sales", "majorSkillsList" : [ "Fundraising", "Sales" ], "coreResponsibilities" : "Fundraise face to face", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Face to Face Fundraiser. Skills: Fundraising, Sales. Fundraise face to face", "createdAt" : "2026-06-14T09:23:54.308", "lastUpdated" : "2026-06-15T14:12:54.773", "ingestTimestamp" : "2026-06-14T09:23:54.308", "mongoId" : "6a2d0eed74d8ee00a0ad9b22", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Fundraising", "Sales", "Sales processes", "Client relationships", "Revenue generation", "Deal closure" ], "skillCount" : 6, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Non-profit", "llmIndustryConfidence" : 0.9 }, { "id" : "6a2a660974d8ee00a062ba17", "title" : "Data Collection Associate I, V-CARE", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 16.0, "max" : 24.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T02:29:02.349", "fingerprint" : "1673f41c91d59761f30e1f14ec04a243e02df480ed6756647bd56f68833e5643", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10443281/apply", "externalId" : "02bb1422-bfa6-4574-8585-8ccd6ac4d438", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Adhere to data collection protocol, Follow SOP to complete project objectives, Moderate and assist research participants, Support day-to-day operations of collection projects, Own defined tasks within projects, Improve parts of the data collection processes, Deliver high quality work, Communicate internally with team members, Identify issues and propose solutions, Support several projects at one time, Accept re-prioritization as required, Perform basic troubleshooting tasks, Escalate technical issues as needed, Work indoor/outdoor in the field, Travel to multiple sites", "teamCollaboration" : "Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists; Work one-on-one with research participants; Communicate internally with team members", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Work indoor/outdoor 4-5 days per week, Traveling to multiple sites within 50 miles, Lift up to 30lbs", "qualificationsBasic" : "Knowledge of Microsoft Office products, Reliable transportation", "qualificationsPreferred" : "Experience in research or data collection, Experience using Confluence, Quip, Jira, Salesforce, End-to-end, hands-on experience with aspects of data collections, Experience moderating a 1:1 session with users independently, Experience moderating sessions with users of different age and demographics is a big plus, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a work from home role) * Lift up to 30lbs when needed Basic Qualifications: - Knowledge of Microsoft Office products and applications - A good sense of humor, a positive attitude and great team work skills - Reliable transportation Preferred Qualifications: - Experience in research or data collection - Experience using Confluence, Quip, Jira, Salesforce - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 16.00 - 24.00 USD hourly", "summaryDescription" : "Data Collection Associate I, V-CARE at Amazon.com Services LLC. Adhere to data collection protocol. Follow SOP to complete project objectives", "postedDate" : "2026-06-13T06:25:23.670", "createdAt" : "2026-06-13T06:25:23.670", "lastUpdated" : "2026-06-15T02:29:02.349", "ingestTimestamp" : "2026-06-13T06:25:23.670", "mongoId" : "6a2a660974d8ee00a062ba17", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10443281/apply", "salaryAnnualMin" : 33280, "salaryAnnualMax" : 49920, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a855e74d8ee00a067b1cb", "title" : "Global Campaigns Manager", "company" : "Rubrik", "industry" : "Technology", "salary" : { "min" : 145000.0, "max" : 205000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Technology industry in Palo Alto, United States, adjusted for seniority and company size." }, "location" : "Palo Alto, CA, United States", "locations" : [ "Palo Alto", "CA", "United States" ], "timestamp" : "2026-06-14T02:54:27.017", "fingerprint" : "053d6182fe59a5ff22871782ddf31476370f352ad621440ba37ab269e887ea77", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.rubrik.com/company/careers/departments/job.7985010?gh_jid=7985010", "externalId" : "7985010", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "experienceMinYears" : 7, "experienceLevel" : "Manager", "technicalSkills" : "Salesforce", "professionalSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Demand generation", "Project management" ], "hardSkillsList" : [ "Data analysis", "ROI optimization" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "ROI optimization", "level" : "intermediate" } ], "majorSkills" : "Demand generation, Campaign strategy, Data analysis", "majorSkillsList" : [ "Demand generation", "Campaign strategy", "Data analysis" ], "coreResponsibilities" : "Lead end-to-end strategy, Develop integrated campaigns, Execute integrated campaigns, Drive pipeline growth, Drive revenue growth, Utilize online marketing channels, Utilize offline marketing channels, Meet MQL goals, Meet meeting goals, Meet pipeline goals, Serve as campaign quarterback, Align cross-functional team, Orchestrate cross-functional team, Ensure seamless execution, Ensure continuous feedback loop, Analyze campaign performance, Optimize campaign performance, Measure campaign impact, Report on campaign impact, Drive continuous improvement, Develop global campaign calendar, Manage global campaign calendar, Align activities with business objectives, Align activities with regional needs", "teamCollaboration" : "Cross-functional teams; Product marketing; Content marketing; Creative marketing; Web marketing; Digital marketing; Regional marketing", "projectManagementSkills" : [ "Project management", "Attention to detail" ], "domainKnowledge" : "Customer journey; B2B marketing; Cybersecurity; Cloud", "domainList" : [ "customer-journey", "b2b-marketing", "cybersecurity", "cloud" ], "domainSpecificKnowledge" : [ "Customer journey", "B2B marketing", "Cybersecurity", "Cloud" ], "toolProficiency" : [ "Salesforce" ], "problemSolvingSkills" : "Data-driven decisions; ROI optimization", "outcomesObjectives" : "Drive pipeline growth; Drive revenue growth; Meet MQL goals; Meet meeting goals; Meet pipeline goals", "qualificationsBasic" : "7+ years demand generation experience, 3+ years integrated campaign experience, Experience with marketing tech stacks, Experience with CRM tech stacks, Experience with Salesforce", "qualificationsPreferred" : "B2B experience preferred, Cybersecurity experience preferred, Cloud experience preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Rubrik is looking for a Global Campaigns Manager to elevate our demand generation efforts. We need a hands-on person who can strategically design and execute integrated campaigns that directly drive pipeline and revenue growth on a global scale. You are the ideal candidate if you are passionate about building marketing programs from the ground up, translating market opportunities into actionable strategies, and collaborating with cross-functional teams to deliver exceptional results. You have a deep understanding of the customer journey and a track record of creating impactful campaigns that resonate with a global audience. Your decisions are always backed by data, and you're relentless in your pursuit of optimizing ROI and improving performance. This role would report into our HQ in Palo Alto in a weekly hybrid cadence. What You'll Do: Lead the end-to-end strategy, development, and execution of a key global demand generation campaign, from awareness to conversion. You will utilize a mix of online and offline marketing channels to meet and exceed MQL, meeting, and pipeline goals. Serve as the campaign \"quarterback,\" aligning and orchestrating a diverse cross-functional team across product marketing, content, creative, web, digital, and regional marketing to ensure seamless execution and a continuous feedback loop. Consistently analyze and optimize campaign performance by measuring, analyzing, and reporting on the impact of all activities on the demand funnel. You will use these insights to drive continuous improvement. Develop and manage a global campaign calendar, ensuring all activities are aligned with broader business objectives and regional needs. Experience You'll Need: 7+ years of progressive demand generation experience, with at least 3 years of integrated campaign experience in a B2B company, preferably in cybersecurity or cloud. Demonstrated expertise in the full demand generation mix with a proven track record of driving significant lead and revenue growth through highly creative campaigns. Strong analytical skills and an unwavering focus on optimizing ROI. Mastery of project management and a meticulous attention to detail. Outstanding communication and collaboration skills to effectively align diverse teams across different functions and regions. Experience with marketing and CRM tech stacks, such as Salesforce, is essential. Excels in high-growth, dynamic settings, skillfully managing multiple projects and deadlines with a results-oriented mindset The minimum and maximum base salaries for this role are posted below; additionally, the role is eligible for bonus potential, equity and benefits. The range displayed reflects the minimum and maximum target for new hire salaries for the role based on U. S. location. Within the range, the salary offered will be determined by work location and additional factors, including job-related skills, experience, and relevant education or training. US Pay Range $138,200—$207,300 USD Join Us in Securing and Accelerating the World's AI Transformation Rubrik (RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Rubrik Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Rubrik Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real-time guardrails, fine-tuning for accuracy and undoing agentic mistakes. Linkedin | X (formerly Twitter) | Instagram | Rubrik.com Inclusion @ Rubrik At Rubrik, we are dedicated to fostering a culture where people from all backgrounds are valued, feel they belong, and believe they can succeed. Our commitment to inclusion is at the heart of our mission to secure the world’s data. Our goal is to hire and promote the best talent, regardless of background. We continually review our hiring practices to ensure fairness and strive to create an environment where every employee has equal access to opportunities for growth and excellence. We believe in empowering everyone to bring their authentic selves to work and achieve their fullest potential. Our inclusion strategy focuses on three core areas of our business and culture: Our Company: We are committed to building a merit-based organization that offers equal access to growth and success for all employees globally. Your potential is limitless here. Our Culture: We strive to create an inclusive atmosphere where individuals from all backgrounds feel a strong sense of belonging, can thrive, and do their best work. Your contributions help us innovate and break boundaries. Our Communities: We are dedicated to expanding our engagement with the communities we operate in, creating opportunities for underrepresented talent and driving greater innovation for our clients. Your impact extends beyond Rubrik, contributing to safer and stronger communities. Equal Opportunity Employer/Veterans/Disabled Rubrik is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact us at hr@rubrik.com if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. EEO IS THE LAW NOTIFICATION OF EMPLOYEE RIGHTS UNDER FEDERAL LABOR LAWS", "summaryDescription" : "Global Campaigns Manager at Rubrik. Skills: Demand generation, Campaign strategy, Data analysis. Lead end-to-end strategy. Develop integrated campaigns", "postedDate" : "2026-06-11T19:50:32.677", "createdAt" : "2026-06-11T19:50:32.677", "lastUpdated" : "2026-06-14T02:54:27.017", "ingestTimestamp" : "2026-06-11T19:50:32.677", "mongoId" : "6a2a855e74d8ee00a067b1cb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 205000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "ROI optimization", "Demand generation", "Campaign strategy", "Brand strategy", "Customer acquisition", "Campaign management", "Project management", "Attention to detail", "Customer journey", "B2B marketing", "Cybersecurity", "Cloud", "Salesforce" ], "skillCount" : 14, "jobCategory" : "marketing", "jobSubcategory" : "marketing", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2a463374d8ee00a05d507d", "title" : "Campaigns Associate", "company" : "ShopBack", "industry" : "Commercial - MY", "salary" : { "min" : 48000.0, "max" : 72000.0, "currency" : "MYR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Junior Campaigns Associate in Kuala Lumpur, Malaysia, with adjustments for the e-commerce industry and company size." }, "location" : "Kuala Lumpur, Malaysia", "locations" : [ "Kuala Lumpur, Malaysia" ], "timestamp" : "2026-06-14T18:54:47.388", "fingerprint" : "a06ab7f7f45822431a20f3320509a8dd546d211055b0387c33522bf5b9a8a027", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/shopback-2/aff04632-472a-43db-9dd1-bc1b08e75c6b/apply", "externalId" : "aff04632-472a-43db-9dd1-bc1b08e75c6b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kuala Lumpur", "country" : "Malaysia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "3.1516964,101.6942371" } ], "locationText" : "Kuala Lumpur, Malaysia", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "hardSkillsList" : [ "Data analysis", "Segmentation", "Targeting" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Segmentation", "level" : "intermediate" }, { "name" : "Targeting", "level" : "intermediate" } ], "majorSkills" : "Marketing strategy, Campaign execution, Data analysis", "majorSkillsList" : [ "Marketing strategy", "Campaign execution", "Data analysis" ], "coreResponsibilities" : "Develop marketing strategies, Manage marketing strategies, Execute marketing strategies, Drive commercial performance, Drive user base growth, Understand business performance, Utilize data and analytics, Improve on campaigns, Improve channel strategies, Improve user segmentation, Improve user targeting, Engage with cross functional teams, Collaborate with cross functional teams, Develop relevant marketing strategies, Tackle business problems, Convert raw data into insights, Convert raw data into next steps, Keep abreast of trends, Identify innovative marketing campaigns, Develop innovative marketing campaigns", "teamCollaboration" : "Cross functional teams; Local Team; Regional Team; Singapore-based stakeholders", "projectManagementSkills" : [ "Project management", "Handling tight deadlines" ], "domainKnowledge" : "Digital marketing; E-commerce; Shopping rewards platform; Payments platform", "domainList" : [ "digital-marketing", "e-commerce", "shopping-rewards-platform", "payments-platform" ], "domainSpecificKnowledge" : [ "Digital marketing", "E-commerce", "Shopping rewards platform", "Payments platform" ], "communicationSkills" : "Communicator", "innovationCreativity" : "Innovative marketing campaigns", "problemSolvingSkills" : "Data analysis; Drawing conclusions; Converting raw data", "qualificationsBasic" : "0 to 2 years experience, Marketing experience, Commercial teams experience, Digital environment experience, Tech environment experience, E-commerce environment experience, Comfortable working with numbers, Comfortable with analysis, Drawing conclusions based on data, Charting future next steps, Highly organized, Keen attention to detail, Executing multiple tasks, Managing stakeholders, Chasing for results, Communicator, Project management skills, Handling tight deadlines, Thrive in fast-paced environment, Thrive in constantly changing environment, Thrive in ambiguous environment", "qualificationsPreferred" : "Marketing experience within digital/tech/e-commerce", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Our Journey The ShopBack Group is Asia-Pacific’s leading shopping, rewards, and payments platform, serving over 60 million shoppers across 13 markets. In 2025, the Group continued its global growth with its expansion into North America. Driven by the vision to make every day more rewarding, ShopBack is dedicated to saving members money and time, and delivering delight every day. The platform also enables merchants and brands to engage with their members in a cost-effective manner. Founded in 2014, ShopBack now powers over US$5.5 billion in annual sales for over 20,000 online and in-store partners, and has rewarded shoppers with more than US$800 million (over S$1 billion) in Cashback to date. Through its innovative offerings, ShopBack continues to create value for both members and merchants. Notably, its payment solution, ShopBack Pay, offers members a convenient and rewarding payment option at checkout. ## Your Adventure Ahead Develop, manage, and execute effective marketing strategies across multiple channels (CRM, website, ShopBack app, Paid initiatives, etc.) to drive commercial performance and user base growth Understand business performance deeply and utilize relevant data and analytics to improve on campaigns, channel strategies and user segmentation and targeting Engage and collaborate effectively with cross functional teams within the Local Team (Social Media, Business Development, Operations, Customer Service etc) as well as with the Regional Team (Business Development, CRM, Data, and Performance Marketing Team) to develop relevant marketing strategies Tackle complex business problems by converting raw data into actionable insights and next steps Keep abreast of industry and competitive trends to identify and develop innovative marketing campaigns ## Essentials to Succeed 0 to 2 years experience in marketing / commercial teams, preferably within a digital / tech / e-Commerce environment Fresh grads are encouraged to apply Comfortable working with numbers, analysis and drawing conclusions based on data, charting future next steps in a logical way Highly organized with keen attention to detail in executing multiple tasks Highly proactive in managing stakeholders and chasing for results Strong communicator who actively reaches out to Singapore-based stakeholders to establish connection despite the distance. A self-starter, independent, motivated and result-oriented individual Strong project management skills and experience handling tight deadlines Can thrive in a fast-paced and constantly changing and ambiguous environment The role is based in Malaysia and is driving marketing for both Singapore and Malaysia markets. ## Additional Information ShopBackers' DNA Grit - We tackle all challenges head-on, working together to solve problems and achieve success. Hunger - We value hard work, and having relentless drive. Speed - We move fast and have a bias for action, all to deliver maximum impact. Impact - We focus on results, always aiming for the best possible outcomes and timelines. Growth - We embrace a growth mindset, constantly striving to learn, improve, and excel in our roles. Exclusively for ShopBackers Career progression paths and opportunities to take on greater challenges that help you realise your ambitions. Be part of a winning team on a journey to global scale. Competitive compensation based on your performance. Candid, open, and collaborative culture where feedback is valued, for everyone to grow and improve every day. ShopBack is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sexual orientation, national origin, age, disability, genetic information, veteran status, or any other protected status under applicable laws. Join our team and help us make a difference!", "summaryDescription" : "Campaigns Associate at ShopBack. Skills: Marketing strategy, Campaign execution, Data analysis. Develop marketing strategies. Manage marketing strategies", "postedDate" : "2026-06-10T05:37:24.644", "createdAt" : "2026-06-10T05:37:24.644", "lastUpdated" : "2026-06-14T18:54:47.388", "ingestTimestamp" : "2026-06-12T07:22:33.672", "mongoId" : "6a2a463374d8ee00a05d507d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Segmentation", "Targeting", "Marketing strategy", "Campaign execution", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Project management", "Handling tight deadlines", "Digital marketing", "E-commerce", "Shopping rewards platform", "Payments platform" ], "skillCount" : 15, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-commerce" }, { "id" : "6a2c8d6e74d8ee00a0978f3d", "title" : "Data Scientist, Client Data & Measurement", "company" : "Ibotta", "industry" : "Shared Services Job Group", "salary" : { "min" : 110000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - Denver", "locations" : [ "Hybrid - Denver" ], "timestamp" : "2026-06-15T06:50:13.930", "fingerprint" : "b0d3ebbb96681492566962e21a928456f3987faa3be235e336113435d9433a7f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/ibotta/7b6a31d8-0bc2-4634-994c-152072e23416/application", "externalId" : "7b6a31d8-0bc2-4634-994c-152072e23416", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "technicalSkills" : "Python, Spark, PySpark, SQL", "professionalSkills" : [ "Data storytelling", "Model performance optimization" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning", "Data visualization", "Experimental design", "Database manipulation", "Query languages", "Programming" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" }, { "name" : "Database manipulation", "level" : "intermediate" }, { "name" : "Query languages", "level" : "intermediate" }, { "name" : "Programming", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Statistics, Data analysis", "majorSkillsList" : [ "Machine learning", "Statistics", "Data analysis" ], "coreResponsibilities" : "Contribute to creating best practices, Initiate and drive collaboration with stakeholders, architects, and, Discover, define, cleanse, and refine data for analysis, Analyze large and novel datasets, Extract actionable insights, Inform model development, Understand consumer behavior, Inform experimental design, Formulate solutions addressing business challenges and innovation opportunities, Build models using statistical and machine learning techniques, Select best type of model, Measure and optimize model performance, Prepare models for production deployment, Monitor model performance over time", "teamCollaboration" : "Collaboration with stakeholders; Collaboration with architects; Collaboration with data engineers; Collaboration with multiple spokes", "domainKnowledge" : "Client Data & Measurement; Consumer behavior; MLOps", "domainList" : [ "client-data-measurement", "consumer-behavior", "mlops" ], "domainSpecificKnowledge" : [ "Client Data & Measurement", "Consumer behavior", "MLOps" ], "communicationSkills" : "Data storytelling", "continuousLearning" : "Learning from senior scientists and managers; Staying at the forefront of the latest advances in data science and machine learning", "innovationCreativity" : "Innovation opportunities", "problemSolvingSkills" : "Analytical and problem solving skills", "outcomesObjectives" : "Identify and build strategic opportunities to grow the business; Support initiatives; Drive value", "qualificationsBasic" : "2+ years progressive experience, Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, Economics or similar field, Demonstrated Python skills, Demonstrated knowledge, skills, and abilities in database manipulation, query languages, modeling techniques, and programming according to best practices", "qualificationsPreferred" : "Advanced degree preferred, Spark or PySpark experience is a plus, Exposure to or interest in manipulating complex data distributed systems, and data streams, Exposure to or interest in MLOps a plus, Broad-scale community contributions to the fields of data science and machine learning in the way of conference presentations, professional publications, and/or recognized internet presence are a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Ibotta is seeking a Data Scientist to join our Client Data & Measurement team and contribute to our mission to Make Every Purchase Rewarding. Our team leverages the latest developments and best practices in data science, testing methodologies, and statistics to provide actionable insights to the Client Data and & Measurement teams. As a Data Scientist, you will be responsible for using the latest developments in statistics, machine learning, and data visualizations. Using these skills, you will identify and build strategic opportunities to grow the business, support initiatives, and drive value. In addition, you will be expected to build trustworthy and robust models and methodologies for use throughout the organization. This role will immediately drive impact through the support, guidance, and collaboration with multiple spokes as part of our Hub and Spoke organizational layout.You http://layout.You’ll be able to advance not only your technical skills, but your organizational and leadership skills as well, by contributing to the creation of best practices for the team and company, and learning from the more senior scientists and managers on the team. Denver, Colorado - if you are in or willing to relocate to the Denver area, this is a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one. What you will be doing: - Contribute to creating best practices for the team - Initiate and drive collaboration with stakeholders, architects, and data engineers to discover, define, cleanse, and refine the data needed for analysis and modeling - Analyze large and novel datasets to extract actionable insights to inform model development and understand consumer behavior - Inform experimental design to formulate solutions addressing major business challenges and innovation opportunities - Build models using a variety of statistical and machine learning techniques, from selecting the best type of model for the problem to using techniques to measure and optimize model performance - Prepare models for production deployment and monitoring of performance over time - Embrace and uphold Ibotta’s Core Values of Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere What we are looking for: - 2+ years of progressive experience in a professional data science, machine learning, statistics, or data analysis role, or related experience - Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, Economics or similar field required; Advanced degree preferred - A passion for driving important decisions using data science and data storytelling - A love of learning and continuous development, including staying at the forefront of the latest advances in data science and machine learning. - Broad-scale community contributions to the fields of data science and machine learning in the way of conference presentations, professional publications, and/or recognized internet presence are a strong plus - Demonstrated knowledge, skills, and abilities in developing and applying a variety of machine learning and statistical algorithms - Demonstrated Python skills. Spark or PySpark experience is a strong plus - Broad and general statistical and mathematical knowledge and skills - Excellent analytical and problem solving skills - Demonstrated knowledge, skills, and abilities in database manipulation, query languages, modeling techniques, and programming according to best practices - graph data schemasExposure to or interest in manipulating complex data distributed systems, and data streams - Exposure to or interest in MLOps a strong plus About Ibotta (\"I bought a...\") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on https://medium.com/building-ibottaMedium.com http://Medium.com. Additional Details: - This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks and occasional meals. - Base compensation range: $110,000 - $130,000. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. - For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. - Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. - Applicants must be currently authorized to work in the United States on a full-time basis. - Applicants are accepted until the position is filled. #LI-Hybrid #BI-Hybrid", "summaryDescription" : "Data Scientist, Client Data & Measurement at Ibotta. Skills: Machine learning, Statistics, Data analysis. Contribute to creating best practices. Initiate and drive collaboration with stakeholders, architects, and", "createdAt" : "2026-06-13T23:29:33.880", "lastUpdated" : "2026-06-15T06:50:13.930", "ingestTimestamp" : "2026-06-13T23:29:33.880", "mongoId" : "6a2c8d6e74d8ee00a0978f3d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 130000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Machine learning", "Data visualization", "Experimental design", "Database manipulation", "Query languages", "Programming", "Statistics", "Data analysis", "Data storytelling", "Model performance optimization", "Client Data & Measurement", "Consumer behavior", "MLOps" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a697b74d8ee00a06380b1", "title" : "Program Manager - Data Collection & Annotation - India", "company" : "Skild AI", "salary" : { "min" : 2500000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bengaluru, Karnataka, India", "locations" : [ "Bengaluru", "Karnataka", "India" ], "timestamp" : "2026-06-13T21:18:13.975", "fingerprint" : "b949f6196ac8ab574005102ec73d90626e9cc34ec6783e4dfd0829cb2b8839c4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/skildai-careers/jobs/5254601008", "externalId" : "5254601008", "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "experienceLevel" : "Manager", "professionalSkills" : [ "Program management", "Operations management" ], "hardSkillsList" : [ "Data collection", "Data annotation", "Process setup", "Metrics tracking", "Problem-solving" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Process setup", "level" : "intermediate" }, { "name" : "Metrics tracking", "level" : "intermediate" }, { "name" : "Problem-solving", "level" : "intermediate" } ], "majorSkills" : "Program management, Data collection, Data annotation", "majorSkillsList" : [ "Program management", "Data collection", "Data annotation" ], "coreResponsibilities" : "Drive program management for data collection, Drive program management for annotation workflows, Coordinate cross-functional execution, Coordinate with 3rd part vendors, Coordinate with tooling, Coordinate with annotation teams, Set up scalable operational processes, Set up metrics, Set up execution frameworks, Own timelines, Own quality, Own throughput, Own metrices, Own operational problem-solving", "teamCollaboration" : "Cross-functional execution; Research teams; Engineering teams", "projectManagementSkills" : [ "Program management" ], "domainKnowledge" : "Robotics foundation models; General-purpose robotics", "domainList" : [ "robotics-foundation-models", "general-purpose-robotics" ], "domainSpecificKnowledge" : [ "Robotics foundation models", "General-purpose robotics" ], "innovationCreativity" : "Innovative projects", "problemSolvingSkills" : "Operational problem-solving", "qualificationsBasic" : "2–3 years program management experience, 2–3 years operations experience", "qualificationsPreferred" : "Startup experience, High-growth environment experience, Execution skills, Communication skills, Stakeholder management skills, Background from top-tier engineering institutions, Background from MBA institutions, High ownership mindset, Ability to operate in ambiguity, Ability to scale complex operations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Postion Overview We're looking for a high-agency Program Manager to build and scale data collection and annotation pipelines that power our robotics foundation models. In this role, you'll own end-to-end operations across vendor coordination, data quality, and annotation workflows — working cross-functionally with research and engineering teams to ensure we have the high-quality training data needed to advance the frontier of general-purpose robotics. Responsibilities Drive end-to-end program management for egocentric/UMI/teleops data collection and annotation workflows Coordinate cross-functional execution across operations, 3rd part vendors, tooling, vendors, and annotation teams Set up scalable operational processes, metrics, and execution frameworks in fast-paced startup environments Own timelines, quality, throughput, metrices and operational problem-solving across multiple programs Preferred Qualifications 2–3 years of program management / operations experience in startups or high-growth environments Strong execution, communication, and stakeholder management skills Background from top-tier engineering and MBA institutions in India High ownership mindset with ability to operate in ambiguity and scale complex operations Base Salary Range ₹25—₹35 INR", "summaryDescription" : "Program Manager - Data Collection & Annotation - India at Skild AI. Skills: Program management, Data collection, Data annotation. Drive program management for data collection. Drive program management for annotation workflows", "postedDate" : "2026-06-11T20:46:07.734", "createdAt" : "2026-06-11T20:46:07.734", "lastUpdated" : "2026-06-13T21:18:13.975", "ingestTimestamp" : "2026-06-11T20:46:07.734", "mongoId" : "6a2a697b74d8ee00a06380b1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data collection", "Data annotation", "Process setup", "Metrics tracking", "Problem-solving", "Program management", "Operations management", "Robotics foundation models", "General-purpose robotics" ], "skillCount" : 9, "jobCategory" : "operations", "jobSubcategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a60b574d8ee00a06204df", "title" : "Analyst - Customer Facing Effectiveness", "company" : "Sanofi", "industry" : "Healthcare", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "PKR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Analyst in Hyderabad, Pakistan, adjusted for the Pharma industry and Sanofi's company size." }, "location" : "Hyderabad", "locations" : [ "Hyderabad", "India" ], "timestamp" : "2026-06-12T20:55:41.548", "fingerprint" : "8e94e4b209d421ed4ae6fd3f3b24d08d059f0a61e03cca6d32e441882b5d4f8f", "source" : "workday", "language" : "en", "applyUrl" : "https://sanofi.wd3.myworkdayjobs.com/SanofiCareers/job/Hyderabad/Analyst---Customer-Facing-Effectiveness_R2858540", "externalId" : "R2858540", "industryFunction" : { }, "locationPoint" : "17.38405,78.45636", "structuredLocations" : [ { "city" : "Hyderabad", "country" : "Pakistan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "25.4075358,68.3613456" } ], "locationText" : "Hyderabad, Pakistan", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, SAS, Power BI, Qliksense, Tableau, Smartsheet, Alteryx", "professionalSkills" : [ "Commercial operations", "Sales targets", "Customer profiling", "Segmentation analysis", "Call planning", "Financial acumen" ], "hardSkillsList" : [ "Incentive plan analysis", "Sales target development", "KPI creation", "KPI analysis", "Customer segmentation", "Resource allocation", "Call plan setup" ], "softSkillsList" : [ "Resilience", "Numeracy", "Analytical skills" ], "hardSkills" : [ { "name" : "Incentive plan analysis", "level" : "intermediate" }, { "name" : "Sales target development", "level" : "intermediate" }, { "name" : "KPI creation", "level" : "intermediate" }, { "name" : "KPI analysis", "level" : "intermediate" }, { "name" : "Customer segmentation", "level" : "intermediate" }, { "name" : "Resource allocation", "level" : "intermediate" }, { "name" : "Call plan setup", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Resilience" }, { "name" : "Numeracy" }, { "name" : "Analytical skills" } ], "majorSkills" : "Incentive plans, Sales targets, Customer segmentation", "majorSkillsList" : [ "Incentive plans", "Sales targets", "Customer segmentation" ], "coreResponsibilities" : "Design data-driven incentive plans, Manage data-driven incentive plans, Analyze data-driven incentive plans, Support localization by allocating sales targets, Manage incentive simulations based on global policies, Track performance using KPIs for sales effectiveness, Ensure global alignment of incentive processes, Perform customer profiling analysis, Perform segmentation analysis, Assist in resource allocation efforts, Assist in call planning efforts, Track sales targets within Customer Facing Hub, Track KPIs within Customer Facing Hub, Manage and analyze incentive plans, Develop data-driven sales targets, Create dashboards, Create KPIs, Analyze KPIs, Refresh report on frequency/cycle basis, Perform QC checks for each refresh, Assist in customer profiling exercises, Assist in segmentation exercises, Assist in targeting exercises, Contribute to setting up call plans", "teamCollaboration" : "Global Go-To-Market-Capabilities Team; Non-technical stakeholders", "domainKnowledge" : "Sales force effectiveness; Sales force efficiency", "domainList" : [ "sales-force-effectiveness", "sales-force-efficiency" ], "domainSpecificKnowledge" : [ "Sales force effectiveness", "Sales force efficiency" ], "toolProficiency" : [ "Javelin", "Zaidyn", "SalesIQ", "Excel", "Word", "PowerPoint" ], "communicationSkills" : "Communicating complex technical concepts", "qualificationsBasic" : "2+ years commercial operations experience", "qualificationsPreferred" : "Healthcare industry experience, Pharmaceutical industry experience, Analytical tools experience, Knowledge of industry-specific trends, Knowledge of market dynamics", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Job title: Analyst Customer Facing Effectiveness** * Location: Hyderabad About the job **Strategic context:** Sanofi has currently the best and most robust pipeline of R&D and consequent new launches of our history. As new phase of Play-To-Win strategy, funding this pipeline and new launches is key to materialize the miracles of the science to improve people lives. Thus, as we enter the next phase, modernization of Sanofi is required as per the recent announcements on DRIVE, and in this respect, we are in the beginning stages of organizing the Go-to-Market Capabilities (GTMC) team at global level. The GTMC organization will help us to drive best-in-class capabilities across the board and bring value and excellence in our commercial operations. This move is a key part of the aimed modernization of Sanofi and will allow us to focus on our priorities across our products, market and pipeline through the reallocation of resources and realizing the efficiencies of removing silos that exist between our business units, avoiding the duplication and overlapping of resources, standardizing our processes and tools, operating with a One Sanofi approach to accelerate our key capabilities development, and fostering the entrepreneurial spirit by speeding up the decision making. As a Customer Effectiveness Analyst within our global Go-To-Market-Capabilities (GTMC) Team, you’ll design, manage, and analyze data-driven incentive plans, support localization by allocating sales targets, manage incentive simulations based on global policies, track performance using KPIs for sales effectiveness, and ensure global alignment of incentive processes, customer profiling and segmentation analysis, assist in resource allocation and call planning efforts based on segmentation insights, and track sales targets and KPIs within the Customer Facing Hub. **Main responsibilities:** * Provide support in managing and analyzing incentive plans, ensuring they are effective and aligned with business objectives. * Assist in developing data-driven sales targets to drive performance and achieve organizational goals. * Support creation of dashboards, creation and analysis of KPIs, to track and monitor sales force effectiveness and efficiency * Refresh report on frequency/cycle basis (weekly/monthly/quarterly/annually), along with QC checks for each refresh. * Assist in customer profiling, segmentation and targeting exercies that align with strategic business goals. * Contribute to setting up call plans to enhance sales force efficiency and effectiveness based on segmentation and targeting approaches. About you * **Experience** : 2+ years of experience within commercial operations (preferable within the healthcare and pharmaceutical industry). * **Soft and Technical skills** : Knowledge of IC and tools like Javelin, Zaidyn, SalesIQ, SQL, SAS etc.; Experience of using analytical tools like Power BI, Qliksense, Tableau, Smartsheet, and Alteryx etc is a plus ; High persistency and resilience.;Proficient of Excel/word/powerpoint; Ability to work collaboratively in a fast-paced environment, effectively communicating complex technical concepts to non-technical stakeholders.; Knowledge of industry-specific trends and market dynamics is a plus.; Strong numeracy, analytical skills and financial acumen. * **Education** : Higher education in Business Administration, Finance or a similar field. * **Languages** : Excellent knowledge of English language (spoken and written). Why chose us? * Bring the miracles of science to life alongside a supportive, future-focused team. * Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally. * Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. * Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave. * Play an instrumental part in creating best practice within our Go-to-Market Capabilities. Pursue progress, discover extraordinary Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our [ALL IN video](https://www.youtube.com/watch?v=SkpDBZ-CJKw&t=67s) and check out our Diversity Equity and Inclusion actions at [sanofi.com](https://www.sanofi.com/en/our-responsibility/equality-and-inclusiveness)! # Pursue _progress_ , discover _extraordinary_ Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our [ALL IN video](https://www.youtube.com/watch?v=SkpDBZ-CJKw&t=67s) and check out our Diversity Equity and Inclusion actions at [sanofi.com](https://www.sanofi.com/en/our-responsibility/equality-and-inclusiveness)!", "summaryDescription" : "Analyst - Customer Facing Effectiveness at Sanofi. Skills: Incentive plans, Sales targets, Customer segmentation. Design data-driven incentive plans. Manage data-driven incentive plans", "postedDate" : "2026-06-11T15:34:55.379", "createdAt" : "2026-06-11T15:34:55.287", "lastUpdated" : "2026-06-12T20:55:41.548", "ingestTimestamp" : "2026-06-11T15:34:55.287", "mongoId" : "6a2a60b574d8ee00a06204df", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://sanofi.wd3.myworkdayjobs.com/SanofiCareers/job/Hyderabad/Analyst---Customer-Facing-Effectiveness_R2858540", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Incentive plan analysis", "Sales target development", "KPI creation", "KPI analysis", "Customer segmentation", "Resource allocation", "Call plan setup", "Resilience", "Numeracy", "Analytical skills", "Incentive plans", "Sales targets", "Commercial operations", "Customer profiling", "Segmentation analysis", "Call planning", "Financial acumen", "Sales force effectiveness", "Sales force efficiency", "Javelin", "Zaidyn", "SalesIQ", "Excel", "Word", "PowerPoint" ], "skillCount" : 25, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "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" : "69fe94fe4c40e2acd112193d", "title" : "Senior Collection Analyst", "company" : "Amazon /Slovakia/ s. r. o.", "industry" : "Finance Accounting, Finance/planning, finance", "salary" : { "min" : 1800.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bratislava, Bratislavský kraj, SVK", "locations" : [ "Bratislava, Bratislavský kraj, SVK" ], "timestamp" : "2026-06-14T23:57:38.922", "fingerprint" : "ae271f1ec0e2b3498e4baec3ecdd72a7b99ad89021ed91435165cd94eb3a300e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414609/apply", "externalId" : "c6362bd7-d0d3-4200-ab5b-2f3c334b6f87", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bratislava", "state" : "Bratislavský kraj", "country" : "Slovakia", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1516988,17.1093063" } ], "locationText" : "Bratislava, Bratislavský kraj, Slovakia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Account Receivables", "Process improvements", "Collections" ], "hardSkillsList" : [ "Account reconciliation" ], "softSkillsList" : [ "Analytical", "Problem-solving" ], "hardSkills" : [ { "name" : "Account reconciliation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Problem-solving" } ], "majorSkills" : "Collections, Account reconciliation, Process improvements", "majorSkillsList" : [ "Collections", "Account reconciliation", "Process improvements" ], "coreResponsibilities" : "Engage and collect on accounts, Drive escalations, Coordinate with supporting teams, Perform account reconciliations, Provide status updates, Submit recommendations for improvements, Manage projects, Resolve issues, Monitor accounts for debit balance, Contact vendors, Arrange debt payoffs, Resolve invoice issues, Drive analyses, Keep accurate records, Report on collection activities, Drive monthly targets, Find efficient solutions, Manage programs", "teamCollaboration" : "Internal stakeholders; Supporting teams; Cross-functional teams", "domainKnowledge" : "Payment processing; Account Receivables", "domainList" : [ "payment-processing", "account-receivables" ], "domainSpecificKnowledge" : [ "Payment processing", "Account Receivables" ], "communicationSkills" : "Interpersonal skills", "problemSolvingSkills" : "Analytical; Problem-solving", "outcomesObjectives" : "Ensure timely collections; Ensure efficient collections; Improve processes", "qualificationsBasic" : "Experience in Finance, Experience in Accounting, Fluent Turkish, Fluent English", "qualificationsPreferred" : "Ability to work independently, Ability to work in a team environment, Fast learner, Ability to adapt to changing environments", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Would you like to be part of one of the fastest growing companies in the world? Learn Finance? Enjoy flexible work-life balance? Gain room and tools to work on projects, accelerating your professional growth? We are looking for a new colleague to join Financial Operations team as Finance Analyst. After training, your responsibility will be to handle payment related queries from Amazon’ Vendors. You will be in regular contact with various internal stakeholders, gaining visibility and future opportunities. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at work. It’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship and Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, we are building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member to develop into a better-rounded professional and take on more complex tasks in the future. Benefits Base pay for this position starts from a minimum of EUR 1,800 + gross per month and will be increased depending on the skills and requirements. The total compensation package will include Amazon’s stock units, sign-on payments for new employees and relocation package. This unlimited contract will also include company benefits that are subject to further terms such as annual membership in medical clinic, life insurance, retirement pension, meal allowance voucher, etc. Key job responsibilities - Independently engage and collect on a portfolio of accounts with open Account Receivables balance positions for Turkish-speaking vendors - Drive escalations when necessary to ensure timely collections - Coordinate with supporting teams around the world to ensure efficient and effective collections - Perform account reconciliations for assigned portfolio of accounts - Provide regular status updates and reports to management - Identify process or procedure improvements and submit recommendations to management - Manage small to medium-sized projects related to collections or process improvements - Work collaboratively with cross-functional teams to resolve issues and improve processes A day in the life As a Finance Account Receivable Analyst, you will monitor accounts to identify the debit- balance situation. Analysts find and contact vendors (directly via phone and email) to arrange debt payoffs, resolve invoice issues, drive in-depth analyses & financial reconciliation in cooperation with multiple teams. The team keeps accurate records, reports on collection activities and drive monthly targets. There is space for diving deep into our processes and tools to find efficient and sustainable solutions. Working day includes managing programs or projects, on your own or with stakeholders, to ultimately improve our business outcomes. About the team In Amazon we strive to be the Earth's Best Employer. We are committed to creating a positive work culture with focus on individual strengths and team development. We do this through 1on1 discussions, individual career growth planning, role scope assessments and providing room for stretch assignments and projects. Many socializing opportunities contribute to the cohesion and well-being of our team. Basic Qualifications: - Experience in Finance, Accounting, or related field - Fluent Turkish and English - Strong communication and interpersonal skills - Demonstrated ability to drive process or procedure improvements - Detail-oriented with strong analytical and problem-solving skill Preferred Qualifications: - Ability to work independently and in a team environment - Fast learner with ability to adapt to changing environments 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" : "Senior Collection Analyst at Amazon /Slovakia/ s. r. o.. Skills: Collections, Account reconciliation, Process improvements. Engage and collect on accounts. Drive escalations", "postedDate" : "2026-06-13T05:30:10.736", "createdAt" : "2026-06-13T05:30:10.736", "lastUpdated" : "2026-06-14T23:57:38.922", "ingestTimestamp" : "2026-06-13T05:30:10.736", "mongoId" : "69fe94fe4c40e2acd112193d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10414609/apply", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Account reconciliation", "Analytical", "Problem-solving", "Collections", "Process improvements", "Account Receivables", "Payment processing" ], "skillCount" : 7, "jobCategory" : "sales", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Finance" }, { "id" : "6a2ac49174d8ee00a06fe6bc", "title" : "Global Campaigns Graduated Internship", "company" : "Celonis", "industry" : "SaaS", "salary" : { "min" : 18000.0, "max" : 24000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level internships in Madrid, Spain, adjusted for the SaaS industry." }, "location" : "Madrid, Spain", "locations" : [ "Madrid", "Spain" ], "timestamp" : "2026-06-14T19:12:57.995", "fingerprint" : "b2bfaded5c330c6e03df26c4ee4e0e37df1aa78bd897ec6d481239ba2867e0bc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/celonis/jobs/7762524003?gh_jid=7762524003", "externalId" : "7762524003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "40.4167820,-3.7035070" } ], "locationText" : "Madrid, Spain", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Campaign management", "Demand generation", "Pipeline acceleration" ], "hardSkillsList" : [ "Project management", "Task prioritization", "Attention to detail" ], "hardSkills" : [ { "name" : "Project management", "level" : "intermediate" }, { "name" : "Task prioritization", "level" : "intermediate" }, { "name" : "Attention to detail", "level" : "intermediate" } ], "majorSkills" : "Campaign execution, Content creation, Digital marketing", "majorSkillsList" : [ "Campaign execution", "Content creation", "Digital marketing" ], "coreResponsibilities" : "Assist creation of global campaign assets, Assist activation of global campaign assets, Assist creation of targeted content, Collaborate to execute global digital campaigns, Assist creation of global email nurture campaigns, Assist maintenance of global email nurture campaigns, Report campaign results, Interpret campaign results", "teamCollaboration" : "Cross-functional colleagues; Campaign Managers; Digital Marketing team; Content teams; Email marketing teams; Field marketing; Partner marketing; Product marketing; Sales teams; Business development teams", "projectManagementSkills" : [ "Prioritize tasks", "Execute with attention to detail", "Consistently meet deadlines" ], "domainKnowledge" : "Process Intelligence; Process Mining; AI capabilities", "domainList" : [ "process-intelligence", "process-mining", "ai-capabilities" ], "domainSpecificKnowledge" : [ "Process Intelligence", "Process Mining", "AI capabilities" ], "continuousLearning" : "70-20-10 learning framework; Mentorship programs; Learning platform access", "outcomesObjectives" : "Achieve ambitious growth targets", "qualificationsBasic" : "Graduated Bachelor’s degree, Business Fluent in English, Available for 12months, Available for 40h per week", "qualificationsPreferred" : "Previous marketing experience", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet. The Team: The Campaign team is part of the Integrated Marketing team and works in close partnership with cross-functional colleagues including the broader go-to-market organization and marketing teams to devise, build, and execute global integrated marketing campaigns and structured programs to drive awareness, generate, and accelerate pipeline. The Role: The Global Campaigns Working Student will be responsible for supporting the build out and execution of global integrated marketing campaigns that enable field sales, partner, and marketing teams to achieve ambitious growth targets. The work you’ll do: Assist the creation and activation of global campaign assets, tools, and targeted content including infographics, ebooks, interactives, blogs, videos, and other customer-facing materials to build awareness, drive demand generation, and arm the GTM teams. Collaborate with the Campaign Managers and Digital Marketing team to execute global digital campaigns (LinkedIn, email, programmatic ads, influencer marketing, etc) Assist in the creation and maintenance global email nurture campaigns in partnership with content and email marketing teams Partner with Campaign Managers to report, and interpret campaign results. Collaborate with cross-functional peers in field marketing, partner marketing, content, PR and communications, digital marketing, and product marketing, as well as sales and business development teams. The qualifications you need: Graduated Bachelor’s degree in marketing, communications, business or related. Strong project management skills with the ability to prioritize tasks and execute with attention to detail, consistently meet deadlines. Business Fluent in English. Comfortable working in a collaborative, cross-functional environment with diverse stakeholders. Previous marketing experience is a plus. Available for 12months for 40h per week. What Celonis can offer you: Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations. Ownership from Day 1: Every full-time \"Celonaut\" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants. Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment. Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration. Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform. Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated \"Wellness Weeks\" that prioritize work/life balance. Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually. Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued. Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision. About Us: Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video. Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process. Please be aware of common job offer scams, impersonators and frauds. Learn more here.", "summaryDescription" : "Global Campaigns Graduated Internship at Celonis. Skills: Campaign execution, Content creation, Digital marketing. Assist creation of global campaign assets. 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Internal teams; External partners; Agencies; Senior stakeholders; Leadership communication", "projectManagementSkills" : [ "Program management", "Project management", "Integrated planning", "Dependency management", "Risk management", "Process improvement", "Agile practices" ], "domainKnowledge" : "Consumer tech; Brand campaigns; Marketing workflows; Product launch workflows; Cross-channel marketing", "domainList" : [ "consumer-tech", "brand-campaigns", "marketing-workflows", "product-launch-workflows", "cross-channel-marketing" ], "domainSpecificKnowledge" : [ "Consumer tech", "Brand campaigns", "Marketing workflows", "Product launch workflows", "Cross-channel marketing" ], "toolProficiency" : [ "Asana", "Jira", "Google Workspace" ], "communicationSkills" : "Crisp status; Clear next steps; Leadership communication; Stakeholder communication", "documentationSkills" : "Documentation-first approach; Decision logs; Architecture diagrams", "continuousLearning" : "Limitless learning opportunities; Daily collaborations", "innovationCreativity" : "Innovative solutions; Experimenting with big ideas", "problemSolvingSkills" : "Resolve risks; Simplify complexity; Drive decisions; Data-informed decisions", "specialRequirements" : "10-15% travel, Travel for shoots, Travel for partner meetings, Travel for company events", "outcomesObjectives" : "Ship impactful work on time; Move fast without sacrificing quality; Hit dates and quality bars", "qualificationsBasic" : "10+ years program/project management, Cross-functional programs, Consumer tech experience, Multi-workstream initiatives, Senior stakeholders experience, Integrated campaign planning, Manage concurrent programs, Manage dependencies, Manage change, Create structure in ambiguity, Design systems that scale, Design rituals that scale, Define success metrics, Use results for recommendations, Project/task management tools, Documentation-first approach, Cross-channel marketing workflows, Product launch workflows, Brand/Creative partnership, External partner coordination, Manage contractors or freelancers, Hold external partners accountable, Work from New York City", "qualificationsPreferred" : "People management experience, Hiring program managers, Developing program managers, Performance-managing program managers, Building team-wide standards, Building career growth, Multi-market launches, Multi-team launches, Localization coordination, External partner coordination, Building lightweight decision frameworks, Retro processes that stick, Operating cadences that stick, Work across multiple tracks, Connecting tracks into portfolio, Managing agencies, Managing freelance bench, Integrated brand campaigns, Uplevel adjacent workstreams, Coaching on best practices, Templates for best practices, Tooling for best practices", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role... We’re hiring a Staff Program Manager to lead complex, multi-quarter programs that cut across teams and functions at Duolingo. You’ll operate with significant autonomy to turn strategy into clear, scalable execution, align senior stakeholders, and build the systems that help teams ship impactful work on time. You will design plans, manage dependencies, surface and resolve risks early, and continuously improve our processes so we can move fast without sacrificing quality. This role is ideal for a program leader who brings crisp structure to ambiguity and elevates how cross-functional work gets done at scale. This position will be based in New York City, with 10–15% travel for shoots, partner meetings, and company events. You will also manage and develop a bench of freelance program managers who can help scale your impact. \uD83E\uDDE0 You will... Lead end-to-end planning and execution of multiple complex, cross-functional programs from inception through launch, reporting and retro. You’ll help define scope, milestones, owners, success metrics, and decision logs. Build and maintain integrated program plans and timelines; proactively identify risks, manage dependencies, and drive mitigation plans to protect delivery and quality. Run effective operating rituals (kickoffs, status, reviews, exec updates, retros) that drive decisions, surface blockers, and create clear next steps for all partners. Align stakeholders across internal teams (e.g., Product, Engineering, Creative, Design, Analytics, Legal, and external partners and agencies) around goals, scope, and trade‑offs; communicate crisp status and recommendations to leadership. Create and improve lightweight processes, templates, and tools that teams actually adopt—raising the bar on documentation, visibility, and execution at scale. Track performance against program goals; partner with analytics/insights to synthesize learnings and feed them into future planning and operating models. Coach teams on program management best practices and uplevel execution across adjacent workstreams, even when not directly owning them. Manage and hire a bench of freelance program managers—scoping work, setting standards, and ensuring seamless integration with internal teams. Partner closely with Brand/Marketing to orchestrate multi‑workstream campaign operations without dulling creativity—coordinating cross‑channel deliverables and external partners to hit dates and quality bars. ✅ You have... 10+ years of experience in program/project management leading high-impact, cross-functional programs end-to-end in consumer tech or a comparable fast-paced environment, including multi-workstream initiatives with senior stakeholders. Proven mastery of integrated campaign planning and timelining; strong ability to manage multiple concurrent programs, dependencies, and change with clarity and calm. Excellent communication and facilitation skills; you simplify complexity, drive decisions, and influence across levels without authority. Demonstrated strength creating structure in ambiguity and designing systems/rituals that scale execution without unnecessary overhead. Data‑informed mindset; you define success metrics and use results to shape next steps and recommendations. Deep proficiency with project/task management and tools (e.g., Asana, Jira, Google Workspace) and a documentation‑first approach. Experience orchestrating cross-channel marketing or product launch workflows in partnership with Brand/Creative and external partners; comfort navigating trade-offs to protect quality and timelines. Ability to work from New York City, with willingness to travel 10–15% for shoots and partner meetings. Experience leading contractors or freelancers and holding external partners to clear scopes, timelines, budgets, and quality bars. ⭐ Exceptional candidates will have... People management experience, including hiring, developing, and performance-managing program managers (FTE or blended FTE/freelance teams) and building team-wide standards and career growth. Experience coordinating multi-market or multi-team launches with localization and/or external partner coordination. A track record building lightweight decision frameworks, retro processes, and operating cadences that stick across teams. Background working across multiple tracks of program management (e.g., Product, Design, Content/Localization, or Marketing) and connecting them into a coherent portfolio. Depth managing agencies and a freelance bench for integrated brand campaigns. Experience upleveling adjacent workstreams through coaching, templates, and tooling—improving execution beyond directly owned programs. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $152,000—$228,000 USD Take a peek at how we care for our employees' holistic well-being with our benefits here. We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com. Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice. Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. Sign up for job alerts here.", "summaryDescription" : "Staff Program Manager Brand Campaigns at Duolingo. Skills: Program management, Campaign operations, Cross-functional execution, Stakeholder management. Lead planning and execution. 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"locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T09:05:48.390", "fingerprint" : "274bbd9b80d0c45e18a212de2d47a5bc6e1123788b255a8e1e5426984f48ffa0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.duolingo.com/jobs/8590215002?gh_jid=8590215002", "externalId" : "8590215002", "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", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "professionalSkills" : [ "Program management", "Campaign planning", "Dependency management", "Risk mitigation", "Process improvement", "Stakeholder alignment", "Performance tracking", "Cross-functional collaboration", "Workstream coordination", "Scope management", "Milestone tracking", "Decision 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recommendations, Create lightweight processes, Create templates, Create tools, Raise bar on documentation, Raise bar on visibility, Raise bar on execution, Track performance, Synthesize learnings, Feed learnings into planning, Feed learnings into operating models, Coach teams on best practices, Uplevel execution, Manage freelance program managers, Hire freelance program managers, Scope freelance work, Set freelance standards, Ensure freelance integration, Orchestrate campaign operations, Coordinate cross-channel deliverables, Coordinate external partners, Hit campaign dates, Hit campaign quality bars", "teamCollaboration" : "Cross-functional teams; Senior stakeholders; Internal teams; External partners; Agencies; Leadership communication", "projectManagementSkills" : [ "Program management", "Integrated planning", "Dependency management", "Risk management", "Process improvement", "Agile practices" ], "domainKnowledge" : "Consumer tech; Brand campaigns; Marketing workflows; Product launch workflows; Cross-channel marketing", "domainList" : [ "consumer-tech", "brand-campaigns", "marketing-workflows", "product-launch-workflows", "cross-channel-marketing" ], "domainSpecificKnowledge" : [ "Consumer tech", "Brand campaigns", "Marketing workflows", "Product launch workflows", "Cross-channel marketing" ], "toolProficiency" : [ "Asana", "Jira", "Google Workspace" ], "communicationSkills" : "Crisp status; Clear next steps; Leadership communication; Stakeholder alignment", "documentationSkills" : "Documentation first approach", "continuousLearning" : "Limitless learning opportunities", "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Resolve risks; Simplify complexity; Drive decisions; Influence across levels; Create structure in ambiguity; Design systems; Design rituals; Data-informed decisions", "specialRequirements" : "10-15% travel, Work from New York City", "outcomesObjectives" : "Ship impactful work on time; Move fast without sacrificing quality; Hit dates and quality bars", "qualificationsBasic" : "10+ years program management, Cross-functional programs, Consumer tech experience, Multi-workstream initiatives, Senior stakeholders experience, Integrated campaign planning, Manage concurrent programs, Manage dependencies, Manage change, Create structure in ambiguity, Design systems that scale, Design rituals that scale, Define success metrics, Use results for recommendations, Project management tools proficiency, Task management tools proficiency, Google Workspace proficiency, Orchestrate cross-channel marketing, Product launch workflows, Work with Brand/Creative, Work with external partners, Navigate trade-offs, Protect quality and timelines, Lead contractors, Lead freelancers, Hold external partners accountable", "qualificationsPreferred" : "People management experience, Hiring program managers, Developing program managers, Performance-managing program managers, Building team-wide standards, Building career growth, Coordinate multi-market launches, Coordinate multi-team launches, Localization coordination, External partner coordination, Build lightweight decision frameworks, Build retro processes, Build operating cadences, Work across multiple tracks, Connect tracks into portfolio, Manage agencies, Manage freelance bench, Integrated brand campaigns", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role... We’re hiring a Staff Program Manager to lead complex, multi-quarter programs that cut across teams and functions at Duolingo. You’ll operate with significant autonomy to turn strategy into clear, scalable execution, align senior stakeholders, and build the systems that help teams ship impactful work on time. You will design plans, manage dependencies, surface and resolve risks early, and continuously improve our processes so we can move fast without sacrificing quality. This role is ideal for a program leader who brings crisp structure to ambiguity and elevates how cross-functional work gets done at scale. This position will be based in New York City, with 10–15% travel for shoots, partner meetings, and company events. You will also manage and develop a bench of freelance program managers who can help scale your impact. \uD83E\uDDE0 You will... Lead end-to-end planning and execution of multiple complex, cross-functional programs from inception through launch, reporting and retro. You’ll help define scope, milestones, owners, success metrics, and decision logs. Build and maintain integrated program plans and timelines; proactively identify risks, manage dependencies, and drive mitigation plans to protect delivery and quality. Run effective operating rituals (kickoffs, status, reviews, exec updates, retros) that drive decisions, surface blockers, and create clear next steps for all partners. Align stakeholders across internal teams (e.g., Product, Engineering, Creative, Design, Analytics, Legal, and external partners and agencies) around goals, scope, and trade‑offs; communicate crisp status and recommendations to leadership. Create and improve lightweight processes, templates, and tools that teams actually adopt—raising the bar on documentation, visibility, and execution at scale. Track performance against program goals; partner with analytics/insights to synthesize learnings and feed them into future planning and operating models. Coach teams on program management best practices and uplevel execution across adjacent workstreams, even when not directly owning them. Manage and hire a bench of freelance program managers—scoping work, setting standards, and ensuring seamless integration with internal teams. Partner closely with Brand/Marketing to orchestrate multi‑workstream campaign operations without dulling creativity—coordinating cross‑channel deliverables and external partners to hit dates and quality bars. ✅ You have... 10+ years of experience in program/project management leading high-impact, cross-functional programs end-to-end in consumer tech or a comparable fast-paced environment, including multi-workstream initiatives with senior stakeholders. Proven mastery of integrated campaign planning and timelining; strong ability to manage multiple concurrent programs, dependencies, and change with clarity and calm. Excellent communication and facilitation skills; you simplify complexity, drive decisions, and influence across levels without authority. Demonstrated strength creating structure in ambiguity and designing systems/rituals that scale execution without unnecessary overhead. Data‑informed mindset; you define success metrics and use results to shape next steps and recommendations. Deep proficiency with project/task management and tools (e.g., Asana, Jira, Google Workspace) and a documentation‑first approach. Experience orchestrating cross-channel marketing or product launch workflows in partnership with Brand/Creative and external partners; comfort navigating trade-offs to protect quality and timelines. Ability to work from New York City, with willingness to travel 10–15% for shoots and partner meetings. Experience leading contractors or freelancers and holding external partners to clear scopes, timelines, budgets, and quality bars. ⭐ Exceptional candidates will have... People management experience, including hiring, developing, and performance-managing program managers (FTE or blended FTE/freelance teams) and building team-wide standards and career growth. Experience coordinating multi-market or multi-team launches with localization and/or external partner coordination. A track record building lightweight decision frameworks, retro processes, and operating cadences that stick across teams. Background working across multiple tracks of program management (e.g., Product, Design, Content/Localization, or Marketing) and connecting them into a coherent portfolio. Depth managing agencies and a freelance bench for integrated brand campaigns. Experience upleveling adjacent workstreams through coaching, templates, and tooling—improving execution beyond directly owned programs. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $152,000—$228,000 USD Take a peek at how we care for our employees' holistic well-being with our benefits here. We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com. Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice. Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. Sign up for job alerts here.", "summaryDescription" : "Staff Program Manager Brand Campaigns at Duolingo. Skills: Program management, Cross-functional programs, Brand campaigns. Lead planning and execution. Define scope, milestones, owners", "postedDate" : "2026-06-14T03:36:14.670", "createdAt" : "2026-06-14T03:36:14.670", "lastUpdated" : "2026-06-15T09:05:48.390", "ingestTimestamp" : "2026-06-14T03:36:14.670", "mongoId" : "6a2c7ae574d8ee00a094749e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 152000, "salaryAnnualMax" : 228000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Integrated planning", "Program execution", "Dependency management", "Risk management", "Process optimization", "Performance analysis", "Scope definition", "Milestone definition", "Success metric definition", "Decision logging", "Risk identification", "Mitigation planning", "Operating ritual facilitation", "Status communication", "Leadership communication", "Process creation", "Template creation", "Tool creation", "Performance tracking", "Learning synthesis", "Operating model design", "Program management coaching", "Execution improvement", "Workstream 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"jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a8fed74d8ee00a068a6fb", "title" : "APAC Campaigns & Content Lead", "company" : "Notion", "industry" : "Marketing", "salary" : { "min" : 155000.0, "max" : 210000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead APAC Campaigns & Content role in Sydney, Australia, adjusted for the SaaS industry and company size." }, "location" : "Sydney, Australia", "locations" : [ "Sydney, Australia" ], "timestamp" : "2026-06-14T20:08:32.988", "fingerprint" : "6a7738e86e92b4686dcb94b01d13b723da8093009ac510a829098bb016da0ea1", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/notion/fef0c5d0-6744-40e6-aeae-0c5644f6af5e/application", "externalId" : "fef0c5d0-6744-40e6-aeae-0c5644f6af5e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sydney", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "hybrid", "geo" : "-33.8698439,151.2082848" } ], "locationText" : "Sydney, New South Wales, Australia", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Salesforce.com, Marketo, Customer.io, Web analytics", "professionalSkills" : [ "Campaign strategy", "Content strategy", "Brand strategy", "Customer acquisition", "Growth metrics", "Product launches", "Demand generation", "Messaging", "Localization", "Cultural fluency", "Sales enablement", "Pipeline creation", "Performance reporting", "AI operationalization" ], "hardSkillsList" : [ "Campaign management", "Content production", "Asset creation", "Reporting" ], "hardSkills" : [ { "name" : "Campaign management", "level" : "intermediate" }, { "name" : "Content production", "level" : "intermediate" }, { "name" : "Asset creation", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Campaigns, Content, APAC, AI", "majorSkillsList" : [ "Campaigns", "Content", "APAC", "AI" ], "coreResponsibilities" : "Lead APAC integrated campaigns from brief to launch, Manage positioning, messaging, channel plan, Manage asset plan and timeline, Own campaign content and assets end-to-end, Define content strategy, narrative, and key messages, Own content plan and production, Build modular messaging/toolkits for localization, Deliver Sales enablement content, Create local creative assets, Partner with country/regional marketers, Bring global campaigns to APAC, Create new campaigns from scratch, Package campaigns for global rollout, Own campaign performance reporting and learnings, Synthesize insights, Recommend optimizations, Share clear readouts, Establish AI-forward campaigns & content operating system", "teamCollaboration" : "Local APAC marketing team; APAC regional teams; Global marketing teams; Country/regional marketers", "projectManagementSkills" : [ "Program management", "Timeline management" ], "domainKnowledge" : "B2B integrated campaigns; APAC markets; High-context markets; SaaS; Tech companies", "domainList" : [ "b2b-integrated-campaigns", "apac-markets", "high-context-markets", "saas", "tech-companies" ], "domainSpecificKnowledge" : [ "B2B integrated campaigns", "APAC markets", "High-context markets", "SaaS", "Tech companies" ], "toolProficiency" : [ "Salesforce.com", "Marketo", "Customer.io" ], "communicationSkills" : "Messaging; Storytelling; Clear narratives; Campaign copy; Clear readouts", "problemSolvingSkills" : "Synthesize insights; Recommend optimizations", "outcomesObjectives" : "Drive awareness; Drive engagement; Drive qualified pipeline; Scale campaigns globally; Improve speed, quality, and consistency", "qualificationsBasic" : "Proven experience leading B2B integrated campaigns, Proven experience leading content programs in APAC, Excellent messaging skills, Excellent storytelling skills, Program management skills, Deep localization sensibility for APAC, Familiarity with APAC marketing/sales tech stack, Familiarity with measurement, Extremely AI-forward, Actively adopt and operationalize AI", "qualificationsPreferred" : "Be a Notion user, Experience across B2C campaigns, Experience in SaaS/Tech companies", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE You’ll own APAC campaigns and content strategy and execution to drive awareness, engagement, and qualified pipeline. You will bring global campaigns and product launches into APAC by working with the local APAC marketing team to bring these campaigns to life. As well as bringing global campaigns to APAC, you will also create new campaigns from scratch and help to scale these out globally if successful in APAC. These are full integrated campaigns where you own everything from strategy, channel mix, content, messaging and execution (in-partnership with the local APAC marketing team). This role is based in Sydney and will report to the APAC Head of Marketing, partnering closely with APAC regional and global marketing teams. In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays. WHAT YOU'LL ACHIEVE - Lead APAC integrated campaigns from brief to launch to retro: positioning, messaging, channel plan, asset plan, and timeline management across priority markets. - The types of campaigns you own will be very diverse. Campaigns owned will span across product launches, demand generation campaigns, and brand campaigns. - Own the campaign content and assets that brings APAC campaigns to life end-to-end, including: - Define the content strategy, narrative, and key messages for each campaign (aligned to global positioning and regional insights). - Own the content plan and production of core campaign assets - Build and maintain modular messaging/toolkits for localization and reuse across markets (especially Japan), ensuring quality and cultural fluency. - Deliver Sales enablement content tied to the campaign (one-pagers, pitch decks, customer stories, talk tracks) to drive pipeline creation and conversion. - Create the local creative assets needed for the APAC campaigns. - Partner with country/regional marketers to bring a campaign to life in APAC. You will bring the APAC marketing team on your campaign journey and project plan the roll out. - Bring global campaigns to APAC and create new campaigns from scratch in APAC and if successful, package these up to roll out globally. - Own campaign performance reporting and learnings: synthesize insights (what worked/why), recommend optimizations, and share clear readouts with regional and global stakeholders. - Establish an AI-forward campaigns & content operating system. SKILLS YOU'LL NEED TO BRING - Proven experience leading B2B integrated campaigns and content programs in APAC, with strong judgment on “what works where” across different markets and segments. - Excellent messaging and storytelling skills: can turn product value into clear narratives, positioning, and multi-asset campaign copy. - Strong program management: can run multi-stakeholder launches with tight timelines, clear briefs, and high-quality deliverables. - Deep localization sensibility for APAC, especially high-context markets (e.g., Japan): you can brief, review, and raise quality to avoid “direct translation” outcomes that harm performance and brand. - Strong familiarity with APAC marketing/sales tech stack and measurement: Salesforce.com http://Salesforce.com, Marketo/Customer.io http://Customer.io, web analytics, UTM hygiene, and campaign reporting. - Extremely AI-forward: you actively adopt and operationalize AI to improve speed, quality, and consistency (research, ideation, content versioning, reporting), and can bring others along. NICE TO HAVES - Be a Notion user - Also have experience across B2C campaigns - Experience in SaaS/Tech companies We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.", "summaryDescription" : "APAC Campaigns & Content Lead at Notion. Skills: Campaigns, Content, APAC, AI. Lead APAC integrated campaigns from brief to launch. Manage positioning, messaging, channel plan", "postedDate" : "2026-06-11T18:25:12.344", "createdAt" : "2026-06-11T18:25:12.344", "lastUpdated" : "2026-06-14T20:08:32.988", "ingestTimestamp" : "2026-06-11T18:25:12.344", "mongoId" : "6a2a8fed74d8ee00a068a6fb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Campaign management", "Content production", "Asset creation", "Reporting", "Campaigns", "Content", "APAC", "AI", "Campaign strategy", "Content strategy", "Brand strategy", "Customer acquisition", "Growth metrics", "Product launches", "Demand generation", "Messaging", "Localization", "Cultural fluency", "Sales enablement", "Pipeline creation", "Performance reporting", "AI operationalization", "Program management", "Timeline management", "B2B integrated campaigns", "APAC markets", "High-context markets", "SaaS", "Tech companies", "Salesforce.com", "Marketo", "Customer.io" ], "skillCount" : 32, "jobCategory" : "marketing", "jobSubcategory" : "marketing", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69dde4492beec4dd3d9a3279", "title" : "Director of Maintenance Division", "industry" : "Government", "salary" : { "min" : 164048.0, "max" : 277446.0, "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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We are seeking an exceptional Director of the Maintenance Division to lead the modernization, resilience, and emergency readiness of a critical statewide transportation system. This role sets strategic direction for maintenance operations, field engineering, pavement and vegetation management, and disaster response while ensuring infrastructure is safe, reliable, and prepared for evolving demands. The ideal leader brings technical expertise, a forward-thinking approach to innovation, and the ability to lead decisively during high impact emergency events, while driving long term system performance and public trust. They also will possess exceptional judgment and the ability to inspire teams while collaborating with senior executives, public officials, and industry partners. If you are energized by solving complex challenges, leading at scale, and leaving a lasting legacy through public service, this role offers both purpose and influence at the highest level. 164,048.00 277,446.00", "summaryDescription" : "Director of Maintenance Division. Skills: Maintenance operations, Emergency readiness, System performance. Lead maintenance modernization. Lead resilience efforts", "createdAt" : "2026-06-14T07:21:26.568", "lastUpdated" : "2026-06-15T06:59:51.122", "ingestTimestamp" : "2026-06-14T07:21:26.568", "mongoId" : "69dde4492beec4dd3d9a3279", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 164048, "salaryAnnualMax" : 277446, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Maintenance operations", "Field engineering", "Pavement management", "Vegetation management", "Disaster response", "Leadership", "Emergency readiness", "System performance", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Transportation systems" ], "skillCount" : 14, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5f3f74d8ee00a08ea4ff", "title" : "Director of Operations & Maintenance", "company" : "Nscale", "industry" : "AI Infrastructure", "salary" : { "min" : 160000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Point Pleasant, WV", "locations" : [ "Point Pleasant", "WV" ], "timestamp" : "2026-06-14T22:38:19.154", "fingerprint" : "e9a53e52937499076c2b5ba3740a4f162a467650911c6d85ca83cae2f0752a11", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/nscaleoperationsukltd/jobs/4871255101", "externalId" : "4871255101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Point Pleasant", "state" : "West Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8445251,-82.1370889" } ], "locationText" : "Point Pleasant, West Virginia, United States", "experienceLevel" : "Director", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Reliability-centered maintenance strategy", "Asset lifecycle planning", "Commissioning", "Start-up operations" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Reliability-centered maintenance strategy", "level" : "intermediate" }, { "name" : "Asset lifecycle planning", "level" : "intermediate" }, { "name" : "Commissioning", "level" : "intermediate" }, { "name" : "Start-up operations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Operations leadership, Maintenance strategy, Infrastructure operations", "majorSkillsList" : [ "Operations leadership", "Maintenance strategy", "Infrastructure operations" ], "coreResponsibilities" : "Define operating model, Recruit operations team, Hire local West Virginia talent, Establish training programs, Lead operations workstream, Develop operating procedures, Develop maintenance procedures, Develop emergency response plans, Drive systems handover, Manage day-to-day operations, Establish performance indicators, Develop maintenance strategy, Manage OEM service agreements, Own CMMS, Manage spare parts strategy, Manage asset lifecycle planning, Ensure compliance with permits, Report operational performance, Maintain relationships with regulators", "teamCollaboration" : "Partner with EPC; Partner with Nscale leadership; Partner with Government Relations", "domainKnowledge" : "AI infrastructure; Data centers; GPU infrastructure; Microgrid operations; Reciprocating gas engines; Switchgear; Substation infrastructure; Hyperscale data centers; Behind-the-meter generation; Natural gas engines; Electrical systems; Gas systems; DC facilities", "domainList" : [ "ai-infrastructure", "data-centers", "gpu-infrastructure", "microgrid-operations", "reciprocating-gas-engines", "switchgear", "substation-infrastructure", "hyperscale-data-centers", "behind-the-meter-generation", "natural-gas-engines", "electrical-systems", "gas-systems", "dc-facilities" ], "domainSpecificKnowledge" : [ "AI infrastructure", "Data centers", "GPU infrastructure", "Microgrid operations", "Reciprocating gas engines", "Switchgear", "Substation infrastructure", "Hyperscale data centers", "Behind-the-meter generation", "Natural gas engines", "Electrical systems", "Gas systems", "DC facilities" ], "toolProficiency" : [ "CMMS" ], "communicationSkills" : "Operational performance reporting", "documentationSkills" : "Operating procedures; Maintenance procedures", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Safe operation; Reliable operation; Efficient operation", "qualificationsBasic" : "15+ years operations leadership, 100+ person operations organizations, Bachelor's degree in engineering, Based in or near Point Pleasant, WV", "qualificationsPreferred" : "Direct experience operating reciprocating engine fleets, Large gas turbine power stations experience, Advanced degree", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Nscale At Nscale, we are building the infrastructure for the AI revolution. Nscale is developing cutting-edge, sovereign generative AI solutions powered by a new generation of high-performance, sustainable data centres and GPUs built specifically for AI workloads. The rapid growth of artificial intelligence is driving unprecedented global demand for compute and GPU infrastructure. Positioned at the heart of this transformation, Nscale is delivering the platforms that will enable the next decade of innovation. Working closely with the world's most advanced AI technology providers — including Microsoft and NVIDIA — Nscale integrates next-generation compute hardware and GPU clusters across both partner and self-delivered facilities. This is a unique opportunity to join Nscale's journey, play a pivotal role in delivering transformative AI infrastructure, and help shape a company designed to scale rapidly across North America, Europe, and beyond. About the Role We are seeking a Director of Operations & Maintenance to build and lead the O&M organization for the Monarch Compute Campus from pre-operational planning through full operation. As the senior operations leader on-site, you will be accountable for safe, reliable, and efficient operation of one of the largest AI factory and behind-the-meter generation complexes in the world. You will own the operational vision for Monarch: a fleet of 864+ Caterpillar reciprocating gas engines, switchgear and substation infrastructure, three hyperscale data center buildings, and supporting BOP and gas systems — all engineered as a state-certified AI microgrid. This role is on-site in Mason County, West Virginia. Reporting to senior Nscale leadership, you will build the local team, partner with EPC during commissioning, set the operating model, and over time scale the organization as additional phases come online. What You'll be Doing O&M Organization Build-Out - Define the Monarch operating model: organisation design, staffing plan, roles, and competency requirements. - Recruit, hire, and develop the operations, maintenance, engineering, EHS, and support functions — with a strong emphasis on hiring and developing local West Virginia talent. - Establish training and qualification programs in partnership with Caterpillar, OEMs, and WV community and technical colleges. Operational Readiness & Commissioning - Lead the operations workstream of commissioning and start-up in close partnership with EPC and Nscale construction leadership. - Develop operating procedures, maintenance procedures, emergency response plans, and the integrated management system. - Drive systems handover, punch-list close-out, and final acceptance from construction to operations. Safe & Reliable Operations - Own day-to-day safe operation of the generation fleet, microgrid, and data center facilities. - Establish leading and lagging performance indicators for safety, reliability, availability, heat rate, and cost. - Champion a robust safety, environmental, and operational risk culture. Maintenance & Asset Management - Develop and execute a comprehensive reliability-centered maintenance strategy across the engine fleet, electrical systems, gas systems, and DC facilities. - Manage major OEM service agreements with Caterpillar, Powell, Babcock & Wilcox, and others. - Own the CMMS, spare parts strategy, and asset lifecycle planning. Compliance, Reporting & Stakeholder Partnership - Ensure compliance with all environmental permits, microgrid certifications, and regulatory obligations. - Report operational performance to Nscale executive leadership, customers (including Microsoft), and external stakeholders. - Partner with the Government Relations team to maintain strong relationships with the local community and regulators. About You - 15+ years of progressive operations leadership experience in gas-fired power generation, large hyperscale data centers, or comparable complex industrial / critical infrastructure operations. - Demonstrated experience commissioning and starting up greenfield generation or data center assets. - Senior leadership experience managing 100+ person operations organisations. - Strong safety leader with a personal commitment to zero harm. - Bachelor's degree in engineering or related technical discipline. - Willing and able to be based in or near Point Pleasant, WV. Nice to Have - Direct experience operating reciprocating engine fleets or large gas turbine power stations. - Advanced degree. Why This Role Matters The Monarch Compute Campus is Nscale's flagship North American AI factory: a 2,250+ acre hyperscale campus in Mason County, West Virginia, and the first state-certified AI microgrid district in the United States. At full build-out, Monarch is engineered to deliver multi-gigawatt, off-grid power to support the world's most demanding AI training and inference workloads, anchored by an MOU with Microsoft for 1.35 GW of capacity using NVIDIA Vera Rubin NVL72 GPUs. Phase 1 — a 2.16 GW natural gas-fired facility comprising three H-shaped data center buildings and 864 Caterpillar reciprocating natural gas engines — is targeted for initial operation in early 2027. Monarch represents a once-in-a-generation opportunity to build mission-critical AI infrastructure in close partnership with Caterpillar, Babcock & Wilcox, Powell Industries, and the State of West Virginia. What We Can Offer You At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and our people are driving it. - Competitive base salary with annual reviews - Performance bonus and long-term incentive eligibility - Comprehensive medical, dental, and vision coverage - 401(k) retirement plan with company match - Generous PTO plus US federal holidays - A career-defining opportunity to be an early member of one of the fastest growing AI infrastructure companies in the world - A human-first approach: We treat you as humans first. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy needed to get the job done. - The chance to push boundaries on cutting-edge AI infrastructure — these data centers aren't just storage for your spam emails, they're changing the industry, and the world, as we've known it. Equal Opportunities Statement At Nscale, we are committed to fostering an inclusive, diverse, and equitable workplace. We believe that a variety of perspectives enriches our work environment, and we encourage applications from candidates of all backgrounds, experiences, and abilities. If there's anything we can do to accommodate your specific situation, please let us know. The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation. Salary Range $160,000—$210,000 USD For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.", "summaryDescription" : "Director of Operations & Maintenance at Nscale. Skills: Operations leadership, Maintenance strategy, Infrastructure operations. Define operating model. 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"title" : "HubSpot Solutions Architect (Senior, Client-Facing)", "company" : "Process Pro Consulting", "industry" : "Information Technology And Services", "salary" : { "min" : 95000.0, "max" : 120000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Austin, TX, United States", "locations" : [ "Austin", "TX", "United States" ], "certifications" : [ "HubSpot certifications" ], "timestamp" : "2026-06-14T21:21:16.389", "fingerprint" : "97118fde9426dea5fc076abc0e3f1d737fe2ebfc979d4e93228be7aa0526e154", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ProcessProConsulting/744000130871279-hubspot-solutions-architect-senior-client-facing-", "externalId" : "744000130871279", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "HubSpot CRM, Zapier, Workato, Syncari, NetSuite, QuickBooks, Sage Intacct, JavaScript, HubL", "professionalSkills" : [ "Revenue Operations", "Tech Stack Integration", "Data Integration", "Solution Design", "System Architecture", "Process Design", "Agile Delivery", "Technical Sales" ], "hardSkillsList" : [ "HubSpot configuration", "Integration architecture", "Workflow automation", "Data modeling", "Process mapping", "System integrity", "Technical research", "Proof-of-concept" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "HubSpot configuration", "level" : "intermediate" }, { "name" : "Integration architecture", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Process mapping", "level" : "intermediate" }, { "name" : "System integrity", "level" : "intermediate" }, { "name" : "Technical research", "level" : "intermediate" }, { "name" : "Proof-of-concept", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "HubSpot Solutions, CRM Architecture, Client Engagements, RevOps Strategy", "majorSkillsList" : [ "HubSpot Solutions", "CRM Architecture", "Client Engagements", "RevOps Strategy" ], "coreResponsibilities" : "Own full lifecycle from discovery, Lead complex discovery processes, Design scalable HubSpot solutions, Ensure alignment business requirements, Partner with Consultants and CDMs, Support solution scoping, Support technical sales, Identify and escalate technical risks, Lead discovery sessions with executives, Define goals, pain points, success metrics, Develop Business Solution Designs, Develop HubSpot configuration strategy, Develop integration architecture, Develop process gaps, Develop system dependencies, Build and sequence Epic Plans, Lead solution design reviews, Drive client alignment and sign-off, Conduct technical research, Ensure seamless handoff to delivery teams, Stay engaged through build and stabilization, Design and document end-to-end business processes, Translate processes into HubSpot architecture, Document decision logic, Document edge cases, Document system interactions, Build complex components, Build sensitive components, Pressure-test solutions against operations, Validate final builds match design intent, Own resolution when builds don't match", "teamCollaboration" : "Partnering with Consultants; Partnering with automation engineers; Partnering with developers; Delivery teams; Customer Delivery Managers", "projectManagementSkills" : [ "Agile delivery", "Sprints", "Epics", "Delivery roadmap" ], "domainKnowledge" : "HubSpot CRM; Revenue Operations; B2B SaaS; Professional services; Manufacturing; Financial services; ERP systems; Quote-to-cash; Lead lifecycle; Pipeline management", "domainList" : [ "hubspot-crm", "revenue-operations", "b2b-saas", "professional-services", "manufacturing", "financial-services", "erp-systems", "quote-to-cash", "lead-lifecycle", "pipeline-management" ], "domainSpecificKnowledge" : [ "HubSpot CRM", "Revenue Operations", "B2B SaaS", "Professional services", "Manufacturing", "Financial services", "ERP systems", "Quote-to-cash", "Lead lifecycle", "Pipeline management" ], "toolProficiency" : [ "HubSpot", "Zapier", "Workato", "Syncari", "Asana", "Jira" ], "communicationSkills" : "Client-facing; Technical sales; Client alignment; Client sign-off; Clear guidance", "documentationSkills" : "Technical documentation; Business Solution Designs; Epic Plans; System logic documentation", "continuousLearning" : "Professional development budget", "problemSolvingSkills" : "Identify opportunities; Escalate technical risks; Pressure-test solutions; Troubleshooting", "qualificationsBasic" : "Lead end-to-end HubSpot solution design, Connect business problems to scalable HubSpot architecture, Deep expertise in HubSpot CRM, Understand data models, automation, integrations, Produce clear, detailed technical documentation, Manage multiple concurrent client engagements, Translate complex technical concepts, Hold a high bar for quality, HubSpot CRM architecture, implementation, optimization, Workflow automation, data modeling, reporting, Integrations using Zapier, Workato, Syncari, Experience with ERP/financial systems, Designing processes like lead lifecycle, pipeline management, quote-to-cash, Agile project delivery (sprints, epics), HubSpot certifications across one or more Hubs", "qualificationsPreferred" : "Experience with Salesforce, Dynamics 365, Multi-CRM environments, HubSpot Salesforce integration experience, Exposure to data warehouses / BI tools, Familiarity with JavaScript or HubL", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Process Pro Consulting is a Diamond HubSpot Partner Agency specializing in: * HubSpot CRM Implementation * CRM Optimization & Automation * Revenue Operations (RevOps) Strategy * Tech Stack + Data Integration support We support B2B SaaS, professional services, manufacturing, and financial services companies in building scalable, high-performing revenue systems. The Role The Solutions Architect (SA) is the technical and strategic lead across client engagements, owning the full lifecycle from discovery through solution design, planning, and delivery oversight. This is a senior individual contributor role with significant client-facing responsibility. You will lead complex discovery processes, design scalable HubSpot solutions, and ensure alignment between business requirements, CRM architecture, and delivery execution. You’ll work across multiple engagements simultaneously, partnering with Consultants, automation engineers, and developers in an agile delivery environment (sprints, epics)—setting the standard for solution quality, technical design, and system integrity. When needed, you’ll go hands-on to ensure the build reflects the intended design. ## Qualifications What You’ll Do Account Level: Technical Ownership & Strategic Support * Maintain a strong understanding of each client’s business model, HubSpot maturity, and tech stack * Act as the technical voice of the client, ensuring delivery teams have the context needed to execute effectively * Identify opportunities to expand impact (RevOps gaps, automation opportunities, underutilized HubSpot capabilities) * Partner with Consultants and Customer Delivery Managers (CDMs) to support solution scoping and technical sales * Proactively identify and escalate technical risks, scope gaps, and misalignment with clear recommendations Initiative Level: End-to-End Solution Design * Lead discovery sessions with executives and stakeholders to define goals, pain points, and success metrics * Develop Business Solution Designs (high-level architecture), including: * HubSpot configuration strategy * Integration architecture (ERP, middleware, third-party tools) * Process gaps and system dependencies * Build and sequence Epic Plans (sprints, dependencies, delivery roadmap) * Lead solution design reviews and drive client alignment and sign-off * Conduct technical research (feasibility, integrations, proofs-of-concept) for complex requirements * Ensure seamless handoff to delivery teams with clear documentation and shared understanding * Stay engaged through build and stabilization to ensure solutions are delivered as designed Process Level: Deep System & Workflow Design * Design and document end-to-end business processes (lead lifecycle, pipeline management, quote-to-cash) * Translate processes into HubSpot architecture, including: * Pipelines, objects, properties, and associations * Workflow automation and logic * Integration points and data flow * Document decision logic, edge cases, and system interactions to eliminate ambiguity during build * Build complex or sensitive components when needed (custom-coded actions, advanced workflows, integrations) * Pressure-test solutions against real-world operations to avoid over-engineering or misalignment * Validate that final builds match design intent—and own resolution when they don’t ## Additional Information This Role Is a Fit If You * Have led end-to-end HubSpot solution design, not just configuration or execution * Think in systems and architecture, connecting business processes to technical implementation * Are comfortable leading conversations with senior stakeholders and driving alignment * Have deep expertise in HubSpot CRM (Sales, Marketing, Service, Ops Hub) * Understand how data models, automation, and integrations work together at scale * Produce clear, detailed technical documentation (specific properties, workflows, system logic) * Can manage multiple concurrent client engagements without losing quality or context * Translate complex technical concepts into clear, actionable guidance * Hold a high bar for quality and don’t let “good enough” ship when it shouldn’t Technical Experience * HubSpot CRM architecture, implementation, and optimization * Workflow automation, data modeling, and reporting * Integrations using tools like Zapier, Workato, Syncari * Experience with ERP/financial systems (NetSuite, QuickBooks, Sage Intacct) * Designing processes like lead lifecycle, pipeline management, and quote-to-cash * Agile project delivery (sprints, epics, tools like Asana, Jira) * HubSpot certifications across one or more Hubs Bonus Points * Experience with Salesforce, Dynamics 365, or multi-CRM environments * HubSpot Salesforce integration experience * Exposure to data warehouses / BI tools (Snowflake, BigQuery, Power BI) * Familiarity with JavaScript or HubL (custom-coded actions, CMS) * Experience with PLG environments and product usage data in CRM workflows Compensation & Benefits * Salary: $95,000 - $120,000 (dependent on skillset and experience) * Quarterly bonus program * Customer expansion bonus program * Net new customer sales bonus program * Fully remote + flexible hours * 20 days PTO + 13 standard US holidays * 2 company mental wellness days * Health, dental, and vision insurance * Health & wellness stipend * 401(k) with match (eligible after 6 months) * Parental leave + short-term disability * Home office equipment provided * Professional development budget Apply If You’ve been the person defining and owning the CRM solution—not just building it—and can confidently connect business problems to scalable HubSpot architecture across systems and teams.", "summaryDescription" : "HubSpot Solutions Architect (Senior, Client-Facing) at Process Pro Consulting. Skills: HubSpot Solutions, CRM Architecture, Client Engagements, RevOps Strategy. Own full lifecycle from discovery. 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At UpGuard, we are replacing manual security bottlenecks with AI-driven precision. Fresh off a US$75M Series C, we are scaling our infrastructure to process 100 billion risk signals daily. This isn’t just growth; it’s a total reimagining of how the world manages cyber risk. We build the Cyber Risk Posture Management (CRPM) platform that security teams actually love. By integrating security ratings, threat intel, and agentic AI, we empower organisations to stay ahead of an ever evolving attack surface. We aren’t just building another tool; we’re defining a category. We provide the autonomy to ship world-class technology and the resources to do it at a global scale. At UpGuard, our Sales team continues to be the engine of our growth, moving beyond simple transactions to become trusted architects of digital resilience. In an era where third-party risk is more complex than ever, we maintain a highly collaborative, consultative culture that puts the customer’s security posture above all else. Following a record-breaking 2025 where we shattered revenue targets and expanded our global footprint, we are entering 2026 with even greater momentum. We are seeking high-energy individuals who thrive in a fast-paced, AI-augmented sales environment. If you are hungry to sharpen your craft, possess a relentless desire to win, and want to sell a platform that is actively neutralising global cyber threats, we want to talk to you. Who are we? At UpGuard, we are replacing manual security bottlenecks with AI-driven precision. Fresh off a US$75M Series C, we are scaling our infrastructure to process 100 billion risk signals daily. This isn’t just growth; it’s a total reimagining of how the world manages cyber risk. We build the Cyber Risk Posture Management (CRPM) platform that security teams actually love. By integrating security ratings, threat intel, and agentic AI, we empower organisations to stay ahead of an ever evolving attack surface. We aren’t just building another tool; we’re defining a category. We provide the autonomy to ship world-class technology and the resources to do it at a global scale. Our Product team at UpGuard comprises our Product Management, Product Support, Engineering, Design, Data Leaks Detection, and Third Party Risk Management Services. Our Product team’s vision is to become the leader in the Cyber VRM category by providing a best-in-class SaaS platform for organisations to manage their third-party risk and external attack surface. Our purpose as a Product team is simply to build a product that enables this. We aim to build a product that users love and come to rely on, and one that regularly and consistently improves. About The Role We’re hiring engineers at multiple levels to join our Product Engineering team as we continue to scale rapidly and sustain strong growth. As Software Engineers at UpGuard, we immerse ourselves in the swiftly evolving and increasingly vital realm of cybersecurity. Our focus is on presenting data in intelligent and creative ways, crafting integrated solutions that directly influence the security posture of our global customers. With the majority of the internet scanned across multiple vectors daily, we confront challenges like high throughput, massive concurrency, and big data. The way we address these challenges reflects the essence of the engineers we welcome into our team. In this role, you’ll work within a cross-functional team that values iteration, collaboration, and speed. Together, we deliver customer value quickly while ensuring security and reliability at every step. We value clean code, thoughtful design, and engineers who care about the product as much as the technology it is built on. What you’ll do: - - Collaborate with a cross-functional team of engineers, product managers, and designers to create world-class products. - Own and develop new customer-facing features end-to-end - Improve system reliability, scalability, and performance - Contribute to code reviews, technical discussions and architectural decisions. - Explore an interesting, challenging domain, mastering the fundamentals of cybersecurity and the internet. What you'll bring: - - 4+ years of relevant engineering experience at tech-centric and product-driven companies - Curious about exploring new technologies, particularly AI and LLMs, to enhance both developer productivity and customer experience - Experience with JavaScript, React, and other web technologies - Proficiency with a backend language (we use Go) - Proficiency with relational databases (we use Postgres) - Excited to help shape product features that improve user experience and drive impact - Able to make pragmatic trade-offs in design and delivery, balancing technical quality with business needs What will give you an edge: - - Experience in cybersecurity. If not, you’ll just need to be willing to learn - Comfortable building complex applications and systems from the ground up in collaboration with cross-functional teams - Care deeply about user experience and are motivated by building products that make a meaningful impact for customers - Have a humble attitude and a strong desire to contribute to the team’s success - We use a modern stack, including React, Go, and Kubernetes, on Google Cloud Platform, so experience with these technologies is a plus. Why you’ll love it here: - - A strong engineering culture focused on learning, impact, and craftsmanship - Opportunities to work on cutting-edge problems in security, AI, and scale. - Regular team off-sites, collaborative professional development, and a no-ego culture. What's in it for you: - - Monthly Lifestyle subsidy: Use this for financial, physical, and mental well-being - WFH set-up allowance: To ensure you have the right environment to work in, we will help you get set up within your first 3 months at UpGuard - $1500 USD annual Learning & Development allowance: To support your career development, all team members will be able to expense development opportunities against this allowance - Annual leave: PTO plus two additional UpGuardian leave days to give you time to recharge your batteries. - 18 weeks paid Parental Leave: Irrespective of parenting role - Personal Leave Allowance: This includes sick & carer’s leave - Fully remote working environment: While we have physical offices in Sydney & Hobart, we do not mandate compulsory attendance - Top-spec hardware: All team members will be provided with top-spec laptops for their role - Generative AI subsidy: UpGuard provides paid subscriptions for all team members to access generative AI tools to support their work #LI-SR1 UpGuard is a Certified Great Place to Work® in the US, Australia, UK and India, establishing its position as a leading global technology employer. 99% of team members agree that UpGuard is a great place to work, apply now to find out why! As an Equal Employment Opportunity and Affirmative Action Employer, qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. For applications to positions in the United States, please note, at this time we can only support hiring in the following US states: CA, MD, MA, IL, OR, WA, CO, TX, FL, PA, LA, MO, or DC. Before starting work with us, you will need to undertake a national police history check and reference checks. Also please note that at this time, we cannot support candidates requiring visa sponsorship or relocation. WHAT'S IN IT FOR YOU? - Monthly Lifestyle subsidy: Use this for financial, physical, and mental well-being - WFH set-up allowance: To ensure you have the right environment to work in, we will help you get set up within your first 3 months at UpGuard - $1500 USD annual Learning & Development allowance: To support your career development, all team members will be able to expense development opportunities against this allowance - Annual leave: PTO plus two additional UpGuardian leave days to give you time to recharge your batteries. - 18 weeks paid Parental Leave: Irrespective of parenting role - Personal Leave Allowance: This includes sick & carer’s leave - Fully remote working environment: While we have physical offices in Sydney & Hobart, we do not mandate compulsory attendance - Top-spec hardware: All team members will be provided with top-spec laptops for their role - Generative AI subsidy: UpGuard provides paid subscriptions for all team members to access generative AI tools to support their work UpGuard is a Certified Great Place to Work® in the US, Australia, UK and India, establishing its position as a leading global technology employer. 99% of team members agree that UpGuard is a great place to work! Apply now to find out why! As an Equal Employment Opportunity and Affirmative Action Employer, qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. For applications to positions in the United States, please note, at this time, we can only support hiring in the following US states: CA, MD, MA, IL, OR, WA, CO, TX, FL, PA, LA, MO, or DC. Before starting work with us, you will need to undertake a national police history check and reference checks. Also, please note that at this time, we cannot support candidates requiring visa sponsorship or relocation.", "summaryDescription" : "Software Engineer (Multiple Levels) at UpGuard", "createdAt" : "2026-06-14T18:45:07.548", "lastUpdated" : "2026-06-15T21:25:16.201", "ingestTimestamp" : "2026-06-14T18:45:07.548", "mongoId" : "6a2cb0e274d8ee00a09db62e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69dde4492beec4dd3d9a32ad", "title" : "2026 Year Round/Intern Maintenance Tech (Pharr District: Multiple Locations)", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 18.0, "max" : 22.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Hebbronville-Hebbronville Maintenance", "locations" : [ "UST-Texas-Hebbronville-Hebbronville Maintenance", "Hourly", "Nonexempt,
Hebbronville Maintenance (21JIMHOGCO)
406 FALFURRIAS HIGHWAY
Hebbronville, 78361

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Did you know that several members of our Executive Leadership team, including our Executive Director, started their careers as paid interns at TxDOT? A paid internship offers a valuable opportunity to explore TxDOT’s impact on Texas communities, apply and expand your classroom knowledge, and potentially open doors to future career opportunities within the agency. This position allows high school and college students to gain hands-on, paid experience in a professional setting. Many students return to TxDOT year after year, drawn by the meaningful work, skill development, and career potential our internships provide. Join our team of over 13,000 employees statewide and start building an exciting future with us. Ready to make an impact? Let’s talk! Maintenance Sections: Hebbronville, Tx Roma, Tx Mission, Tx Pharr, TX Edcouch, Tx Brownsville, Tx Salary Plan/Grade: Intern Maintenance Technician (A11): $18.00 - $22.76/hourly 18.00 22.76", "summaryDescription" : "2026 Year Round/Intern Maintenance Tech (Pharr District: Multiple Locations) at TxDOT. Gain hands-on experience. 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Internal partners; Business Development; Marketing; Product; Operations; Risk; Finance; Legal; Compliance", "projectManagementSkills" : [ "Client implementation work plan" ], "domainKnowledge" : "Point-of-sale financing; BNPL; Private label credit cards; Co-brand credit cards; Partner lending; Lending products; Consumer finance", "domainList" : [ "point-of-sale-financing", "bnpl", "private-label-credit-cards", "co-brand-credit-cards", "partner-lending", "lending-products", "consumer-finance" ], "domainSpecificKnowledge" : [ "Point-of-sale financing", "BNPL", "Private label credit cards", "Co-brand credit cards", "Partner lending", "Lending products", "Consumer finance" ], "communicationSkills" : "Executive presentation; Client reviews; Client updates", "problemSolvingSkills" : "Solution-oriented", "specialRequirements" : "Travel up to 20%", "qualificationsBasic" : "5+ years of experience in point-of-sale financing, 5+ years of experience in BNPL, 5+ years of experience in private label credit cards, 5+ years of experience in co-brand credit cards, 5+ years of experience in other partner lending businesses, Data analysis skills, Experience preparing presentations, Exceptional communication skills, Executive presentation skills, Financial acumen, Comfortable leveraging AI tools, Demonstrated success in early-stage environments, Demonstrated success in high-growth environments, Able to work independently, PowerPoint skills, Excel skills, Word skills", "qualificationsPreferred" : "Knowledge of lending products, Knowledge of lending economics, Knowledge of key performance drivers", "remoteFriendly" : false, "rawDescription" : "About Us: At ClarityPay, we're redefining the point-of-sale credit market to bring more value to merchants. Based in NYC and Atlanta, our fast-growing fintech empowers large merchants with configurable “Pay-Over-Time” tools— including monthly installments, BNPL, and revolving products. We solve complex credit challenges with speed, precision, and intelligence—combining deep expertise with advanced tech to deliver better outcomes, every time. Our clients rely on us to help them serve their customers, grow, and build loyalty. Our values guide everything we do: we put merchants first, stay data-driven, always know the why, learn relentlessly, and win together as a team. This clarity of purpose fuels our commitment to delivering exceptional customer experiences at speed and scale. Role Overview: ClarityPay is seeking a Director of Client Success to manage a portfolio of clients, drive success, and ensure they become fans of ClarityPay. You will be responsible for helping clients get onboarded and then managing the program daily. The Director will strengthen relationships, drive performance to achieve goals, lead on key issues, and ensure client satisfaction. You will align client expectations and constantly work towards goals. You will analyze data and feedback, generate improvement opportunities, and drive them to completion. This role will collaborate closely with the client's cross-functional associates and internal partners from Business Development, Marketing, Product, Operations, Risk, Finance, and Legal. Key Responsibilities: · Be the main point of contact, channeling needs between clients (merchants, service providers, and platforms) and internal teams (e.g., Product, Operations, Legal). · Lead the overall client implementation work plan, working closely with Business Development for an effective transition and collaborating with internal teams (e.g., Product, Compliance, Marketing, Risk, Operations, and Finance) and client associates. · Establish client and internal expectations for performance, drive results, track actual versus expectations, and report to client and internal stakeholders. · Continually monitor and analyze performance and customer experience data. · Develop growth and success plans, identify opportunities, present value-added analysis, and ensure program performance aligns with strategy. · Handle day-to-day operational issues and provide support to clients. This includes advocating with the internal support teams to address issues within SLAs. · Coordinate, develop, and deliver regular client reviews and updates. · Ensure legal and compliance requirements are addressed. · Ensure all contractual obligations are fulfilled. · Share best practices and learnings to improve internal results. · Perform other duties and/or special projects as assigned. · Continually promote and apply ClarityPay values; be a role model of trust and integrity. Qualifications: · Curious, energetic, positive, solution-oriented, collaborative, trusted. - 5+ years of experience in point-of-sale financing, BNPL, private label credit cards, co-brand credit cards, or other partner lending businesses. - Strong data analysis skills. - Experience preparing presentations such as client business reviews. - Exceptional communication and executive presentation skills. - Financial acumen, preferably with knowledge of lending products, economics, and key performance drivers. - Comfortable leveraging AI tools and emerging technologies to improve productivity, analysis, and decision-making. - Able to work independently following established guidelines and have - Demonstrated success in early-stage or high-growth environments, helping shape strategy and product while collaborating across teams to solve complex challenges. - Able to travel up to 20% of the time. - Strong PowerPoint, Excel, and Word skills. What We Offer: · Competitive fixed and variable compensation package. · Comprehensive benefits (medical, dental, vision). · Collaborative office culture with a strong focus on clients and their customers. · Opportunities to grow, lead, and shape the future of consumer finance. · 401k program. Role Details · New York City · This role will report to the SVP of Client Success. Ready to redefine point-of-sale financing with us? Apply today and join a passionate team committed to making financial clarity a reality. ClarityPay is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, age, disability, veteran status, marital status, or any other legally protected status.", "summaryDescription" : "Director of Client Success at ClarityPay. Skills: Client success, Relationship management, Performance analysis. Manage client portfolio. Drive client success", "postedDate" : "2026-06-11T20:02:22.974", "createdAt" : "2026-06-11T20:02:22.974", "lastUpdated" : "2026-06-14T23:47:36.031", "ingestTimestamp" : "2026-06-11T20:02:22.974", "mongoId" : "6a2a45bf74d8ee00a05d36bc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Financial acumen", "Curious", "Energetic", "Positive", "Solution-oriented", "Trusted", "Client success", "Relationship management", "Performance analysis", "Client onboarding", "Program management", "Client implementation work plan", "Point-of-sale financing", "BNPL", "Private label credit cards", "Co-brand credit cards", "Partner lending", "Lending products", "Consumer finance" ], "skillCount" : 20, "jobCategory" : "other", "jobSubcategory" : "client-success", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Fintech" }, { "id" : "6a2a6a0574d8ee00a063a2e3", "title" : "Director of Client Engineering", "company" : "Tide", "industry" : "Financial Services", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Client Engineering in Lithuania, adjusted for FinTech industry and Director seniority." }, "location" : "Lithuania", "locations" : [ "Lithuania" ], "timestamp" : "2026-06-14T22:15:04.687", "fingerprint" : "a4df5f705e0ade6917b343267f015d156779e23b21199909603d324b8b4571de", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tide/jobs/7765740003", "externalId" : "7765740003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Lithuania", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Lithuania", "experienceLevel" : "Director", "technicalSkills" : "Flutter, Dart, Java, Spring Boot, PostgreSQL, MySQL, Kafka, AWS SQS, AWS SNS, Kubernetes, EKS", "professionalSkills" : [ "Client Engineering", "Architecture", "Release Engineering", "Product Virtualisation", "Observability", "Systems Thinking", "Commercial Maturity" ], "hardSkillsList" : [ "Frontend Architecture", "Release Engineering", "Automation Strategy", "Code Generation", "BDD Testing", "Backend Communication" ], "softSkillsList" : [ "Leadership", "Systems Thinking" ], "hardSkills" : [ { "name" : "Frontend Architecture", "level" : "intermediate" }, { "name" : "Release Engineering", "level" : "intermediate" }, { "name" : "Automation Strategy", "level" : "intermediate" }, { "name" : "Code Generation", "level" : "intermediate" }, { "name" : "BDD Testing", "level" : "intermediate" }, { "name" : "Backend Communication", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Systems Thinking" } ], "majorSkills" : "Frontend Architecture, Release Engineering, AI, Agentic Solutions", "majorSkillsList" : [ "Frontend Architecture", "Release Engineering", "AI", "Agentic Solutions" ], "coreResponsibilities" : "Lead Client Engineering organisation, Ensure frontend ecosystem is competitive, Provide standards and tools, Allow product teams to build, Lead Engineering Managers, Partner with Staff Engineers, Solve complex technical challenges, Own technical direction, Own technical standards, Advocate for frontend stack, Identify bottlenecks, Resolve bottlenecks, Ensure codebase sustainability, Advocate for technical solutions, Evaluate current stack, Evaluate workforce model, Maximise engineering leverage, Advocate for product visibility systems, Provide stakeholders visibility, Be responsible for delivery, Implement automation strategy, Prioritise high-frequency deployments, Prioritise predictable deployment cycles, Provide thought leadership, Leverage AI, Leverage agentic solutions, Explore AI optimisation, Automate routine interactions, Drive personalised experiences", "teamCollaboration" : "Partner with Staff Engineers; Cross-functional teams; Product teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "SME banking; Business accounts; Banking services; Invoicing; Accounting; Frontend architecture; Monorepo workflows; Release Engineering; AI; Agentic solutions; Frontend performance; Modular architecture; State management; Dependency injection; Navigation tools; Code generation; Backend communication; BDD testing; CI/CD; Firebase; DataDog; LaunchDarkly; GitHub Actions; Flutter; Dart; Angular; Java; Spring Boot; PostgreSQL; MySQL; Kafka; AWS SQS/SNS; Kubernetes; EKS", "domainList" : [ "sme-banking", "business-accounts", "banking-services", "invoicing", "accounting", "frontend-architecture", "monorepo-workflows", "release-engineering", "ai", "agentic-solutions", "frontend-performance", "modular-architecture", "state-management", "dependency-injection", "navigation-tools", "code-generation", "backend-communication", "bdd-testing", "ci-cd", "firebase", "datadog", "launchdarkly", "github-actions", "flutter", "dart", "angular", "java", "spring-boot", "postgresql", "mysql", "kafka", "aws-sqs-sns", "kubernetes", "eks" ], "domainSpecificKnowledge" : [ "SME banking", "Business accounts", "Banking services", "Invoicing", "Accounting", "Frontend architecture", "Monorepo workflows", "Release Engineering", "AI", "Agentic solutions", "Frontend performance", "Modular architecture", "State management", "Dependency injection", "Navigation tools", "Code generation", "Backend communication", "BDD testing", "CI/CD", "Firebase", "DataDog", "LaunchDarkly", "GitHub Actions", "Flutter", "Dart", "Angular", "Java", "Spring Boot", "PostgreSQL", "MySQL", "Kafka", "AWS SQS/SNS", "Kubernetes", "EKS" ], "toolProficiency" : [ "Firebase", "DataDog", "LaunchDarkly", "GitHub Actions" ], "communicationSkills" : "Stakeholder communication", "continuousLearning" : "Learning and Development", "innovationCreativity" : "Emerging Technology; AI; Agentic Solutions", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Bottleneck identification", "outcomesObjectives" : "Improve efficiency; Modernise mobile release cycles; Maximise engineering leverage", "qualificationsBasic" : "5+ years frontend architecture, 5+ years frontend stack, 5+ years mobile release cycles", "qualificationsPreferred" : "Experience with AI, Experience with agentic solutions", "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: Tide is available for UK, Indian, German and French SMEs Over 2 million members: 900,000 UK and 1,100,000 in India and growing rapidly Over $300 million raised in funding Over 2,800 Tideans globally Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg ABOUT THE TEAM You will lead the Client Engineering organisation, responsible for the core health and delivery of Tide’s mobile and web applications. This group comprises Core Architecture, Engineering Productivity, and Quality Engineering. Your mission is to ensure our frontend ecosystem is a competitive advantage, providing the standards and tools that allow our product teams to build with confidence and speed. You will lead a team of Engineering Managers and partner with a tenured community of Staff Engineers to solve our most complex technical challenges. ABOUT THE ROLE As Director of Client Engineering, you own the technical direction and standards for Tide’s frontend. We are looking for a leader who is deeply engaged in the architectural health of our applications. You will be the primary advocate for a frontend stack that is performant, maintainable, and aligned with our commercial goals. As Director of Client Engineering you will Architectural Advocacy: Partner with our Staff Engineers to drive a pragmatic frontend strategy. You will take a hands-on approach to identifying and resolving bottlenecks in our large-scale monorepo workflows, ensuring the codebase remains sustainable. Technical Stewardship & Efficiency: Advocate for the technical solutions that make the most sense for Tide’s business goals. You will evaluate our current stack and workforce model to ensure we are maximising engineering leverage without sacrificing the right tool for the job. Product Virtualisation & Observability: Advocate for systems that provide stakeholders globally with full visibility into the product experience across all configurations. Delivery Excellence: Be responsible for the delivery of a modern Release Engineering model. You will ensure your teams implement a comprehensive automation strategy that prioritises high-frequency, predictable deployment cycles. Emerging Technology & AI: Provide thought leadership on leveraging AI and agentic solutions within the client-side experience. You will explore how AI can optimise frontend performance, automate routine interactions, and drive personalised member experiences. WHAT WE ARE LOOKING FOR Seasoned Leadership: You have led significant engineering organisations and are comfortable navigating the complexities of high-scale frontend architecture. Skilled Collaborator: You can thoughtfully debate technical trade-offs to reach the best outcome for the business. Frontend Pragmatist: You have a deep understanding of frontend best practices. You aren’t tied to a specific framework or a single way of working and instead focus on the best outcome for the business. You have a track record of improving efficiency and modernising mobile release cycles, and you know how to navigate the technical and organisational trade-offs involved in those transitions. Systems Thinking: You naturally see the connection between technical foundations and team velocity. You focus on the system-level improvements that help every product team move faster. Commercial Maturity: You understand that technical strategy must serve business goals. You are comfortable making and communicating trade-offs to both technical and non-technical stakeholders. OUR TECH STACK We use the latest iterations of Flutter and Dart with a modular architecture to build scalable applications. Our stack includes state management, dependency injection, and navigation tools to streamline development. We emphasize code generation, backend communication efficiency, and BDD testing. Monitoring, analytics, and CI/CD are powered by Firebase, DataDog, LaunchDarkly, and GitHub Actions for seamless deployment and reliability. We use: Frontend: Flutter (Mobile), Angular (Web) Backend: Java (17+), Spring Boot Databases: PostgreSQL, MySQL Messaging: Kafka, AWS SQS/SNS Infrastructure: Kubernetes (EKS), AWS WHAT YOU’LL GET IN RETURN Our location-specific employee benefits are designed to cater to the unique needs of Tideans: Gross Annual Base Salary €100,000 to €140,650 Competitive Compensation - Competitive salary and share options. Time Off – Generous annual leave on top of bank holidays. Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey. Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide. Health Insurance – Private health insurance with Bulgaria Zdrave, including extra dental care. Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops. Volunteering & Development Days – Paid days annually for volunteering or personal growth. Learning & Development – Annual budget for books, courses, coaching, and more. WOO (Work Outside the Office) – Work from abroad for up to 90 days annually. Home Office Setup – Contribution towards setting up your home office. Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement. Fully Covered Multi Sports Card – Granting access to hundreds of gyms and pools across Bulgaria. Monthly Food Vouchers -– Monthly food vouchers to enjoy your favorite meals with Edenred + Snacks & Meals – Daily breakfast spread with all-day coffee, tea, and juices TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. #LI-AC1 #LI-Remote TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard. Disclaimer It has come to our attention that individuals or agencies are falsely claiming to represent Tide and are reaching out to candidates regarding job opportunities. Please be aware that: Tide does not charge any fees at any stage of the recruitment process. All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel. Communication from Tide will only come from an official @tide.co email address. Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf. If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process. Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy. Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.", "summaryDescription" : "Director of Client Engineering at Tide. Skills: Frontend Architecture, Release Engineering, AI, Agentic Solutions. Lead Client Engineering organisation. Ensure frontend ecosystem is competitive", "postedDate" : "2026-06-11T22:04:13.108", "createdAt" : "2026-06-11T22:04:13.108", "lastUpdated" : "2026-06-14T22:15:04.687", "ingestTimestamp" : "2026-06-11T22:04:13.108", "mongoId" : "6a2a6a0574d8ee00a063a2e3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Frontend Architecture", "Release Engineering", "Automation Strategy", "Code Generation", "BDD Testing", "Backend Communication", "Leadership", "Systems Thinking", "AI", "Agentic Solutions", "Client Engineering", "Architecture", "Product Virtualisation", "Observability", "Commercial Maturity", "Roadmap planning", "SME banking", "Business accounts", "Banking services", "Invoicing", "Accounting", "Frontend architecture", "Monorepo workflows", "Agentic solutions", "Frontend performance", "Modular architecture", "State management", "Dependency injection", "Navigation tools", "Code generation", "Backend communication", "BDD testing", "CI/CD", "Firebase", "DataDog", "LaunchDarkly", "GitHub Actions", "Flutter", "Dart", "Angular", "Java", "Spring Boot", "PostgreSQL", "MySQL", "Kafka", "AWS SQS/SNS", "Kubernetes", "EKS" ], "skillCount" : 48, "jobCategory" : "other", "jobSubcategory" : "one-platform", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Financial Services" }, { "id" : "6a2a5c0074d8ee00a06127b2", "title" : "Director of Client Engineering", "company" : "Tide", "industry" : "Financial Services", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Client Engineering in Lithuania, adjusted for FinTech industry and Director seniority." }, "location" : "Lithuania", "locations" : [ "Lithuania" ], "timestamp" : "2026-06-14T20:30:13.894", "fingerprint" : "00b667ff4dbdcdf5a0202fa36fb1159ef0ee42096f667946b1893ba627461815", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tide/jobs/7764441003", "externalId" : "7764441003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Lithuania", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Lithuania", "experienceLevel" : "Director", "technicalSkills" : "Flutter, Dart, Angular, Java, Spring Boot, PostgreSQL, MySQL, Kafka, AWS SQS, AWS SNS, Kubernetes, EKS", "professionalSkills" : [ "Client Engineering", "Frontend Architecture", "Release Engineering", "Systems Thinking", "Commercial Maturity" ], "hardSkillsList" : [ "Frontend Development", "Mobile Development", "Web Development", "Architecture Design", "Automation Strategy", "AI Integration" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Frontend Development", "level" : "intermediate" }, { "name" : "Mobile Development", "level" : "intermediate" }, { "name" : "Web Development", "level" : "intermediate" }, { "name" : "Architecture Design", "level" : "intermediate" }, { "name" : "Automation Strategy", "level" : "intermediate" }, { "name" : "AI Integration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Frontend Architecture, Release Engineering, AI Integration, Leadership", "majorSkillsList" : [ "Frontend Architecture", "Release Engineering", "AI Integration", "Leadership" ], "coreResponsibilities" : "Lead Client Engineering organisation, Ensure frontend ecosystem is competitive, Provide standards and tools, Allow product teams to build, Lead Engineering Managers, Partner with Staff Engineers, Solve complex technical challenges, Own technical direction for frontend, Own technical standards for frontend, Drive pragmatic frontend strategy, Identify bottlenecks in monorepo workflows, Resolve bottlenecks in monorepo workflows, Ensure codebase remains sustainable, Advocate for technical solutions, Evaluate current stack, Evaluate workforce model, Maximise engineering leverage, Advocate for product observability systems, Provide visibility into product experience, Be responsible for delivery, Implement automation strategy, Prioritise high-frequency deployments, Prioritise predictable deployment cycles, Provide thought leadership on AI, Explore AI optimisation, Explore AI automation, Explore AI personalisation", "teamCollaboration" : "Partner with Staff Engineers; Work with product teams; Collaborate with stakeholders", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "SME banking; Frontend architecture; Release engineering; AI solutions", "domainList" : [ "sme-banking", "frontend-architecture", "release-engineering", "ai-solutions" ], "domainSpecificKnowledge" : [ "SME banking", "Frontend architecture", "Release engineering", "AI solutions" ], "toolProficiency" : [ "Firebase", "DataDog", "LaunchDarkly", "GitHub Actions" ], "communicationSkills" : "Technical trade-offs; Communicate trade-offs", "continuousLearning" : "Personal growth days", "innovationCreativity" : "Emerging technology exploration", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "Work from abroad 90 days, On-call rotation", "outcomesObjectives" : "Improve frontend performance; Automate routine interactions; Drive personalised experiences; Improve efficiency; Modernise mobile release cycles", "qualificationsBasic" : "5+ years frontend architecture, Experience with modern release engineering, Experience with AI/agentic solutions", "qualificationsPreferred" : "Experience with Flutter and Dart, Experience with Angular, Experience with Java 17+, Experience with Spring Boot, Experience with PostgreSQL, Experience with MySQL, Experience with Kafka, Experience with AWS SQS/SNS, Experience with Kubernetes, Experience with EKS", "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: Tide is available for UK, Indian, German and French SMEs Over 2 million members: 900,000 UK and 1,100,000 in India and growing rapidly Over $300 million raised in funding Over 2,800 Tideans globally Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg ABOUT THE TEAM You will lead the Client Engineering organisation, responsible for the core health and delivery of Tide’s mobile and web applications. This group comprises Core Architecture, Engineering Productivity, and Quality Engineering. Your mission is to ensure our frontend ecosystem is a competitive advantage, providing the standards and tools that allow our product teams to build with confidence and speed. You will lead a team of Engineering Managers and partner with a tenured community of Staff Engineers to solve our most complex technical challenges. ABOUT THE ROLE As Director of Client Engineering, you own the technical direction and standards for Tide’s frontend. We are looking for a leader who is deeply engaged in the architectural health of our applications. You will be the primary advocate for a frontend stack that is performant, maintainable, and aligned with our commercial goals. As Director of Client Engineering you will Architectural Advocacy: Partner with our Staff Engineers to drive a pragmatic frontend strategy. You will take a hands-on approach to identifying and resolving bottlenecks in our large-scale monorepo workflows, ensuring the codebase remains sustainable. Technical Stewardship & Efficiency: Advocate for the technical solutions that make the most sense for Tide’s business goals. You will evaluate our current stack and workforce model to ensure we are maximising engineering leverage without sacrificing the right tool for the job. Product Virtualisation & Observability: Advocate for systems that provide stakeholders globally with full visibility into the product experience across all configurations. Delivery Excellence: Be responsible for the delivery of a modern Release Engineering model. You will ensure your teams implement a comprehensive automation strategy that prioritises high-frequency, predictable deployment cycles. Emerging Technology & AI: Provide thought leadership on leveraging AI and agentic solutions within the client-side experience. You will explore how AI can optimise frontend performance, automate routine interactions, and drive personalised member experiences. WHAT WE ARE LOOKING FOR Seasoned Leadership: You have led significant engineering organisations and are comfortable navigating the complexities of high-scale frontend architecture. Skilled Collaborator: You can thoughtfully debate technical trade-offs to reach the best outcome for the business. Frontend Pragmatist: You have a deep understanding of frontend best practices. You aren’t tied to a specific framework or a single way of working and instead focus on the best outcome for the business. You have a track record of improving efficiency and modernising mobile release cycles, and you know how to navigate the technical and organisational trade-offs involved in those transitions. Systems Thinking: You naturally see the connection between technical foundations and team velocity. You focus on the system-level improvements that help every product team move faster. Commercial Maturity: You understand that technical strategy must serve business goals. You are comfortable making and communicating trade-offs to both technical and non-technical stakeholders. OUR TECH STACK: We use the latest iterations of Flutter and Dart with a modular architecture to build scalable applications. Our stack includes state management, dependency injection, and navigation tools to streamline development. We emphasize code generation, backend communication efficiency, and BDD testing. Monitoring, analytics, and CI/CD are powered by Firebase, DataDog, LaunchDarkly, and GitHub Actions for seamless deployment and reliability. We use: Frontend: Flutter (Mobile), Angular (Web) Backend: Java (17+), Spring Boot Databases: PostgreSQL, MySQL Messaging: Kafka, AWS SQS/SNS Infrastructure: Kubernetes (EKS), AWS WHAT YOU’LL GET IN RETURN Our location-specific employee benefits are designed to cater to the unique needs of Tideans: Gross Annual Base Salary €123,200 to €173,250 Time Off – Generous annual leave on top of bank holidays. Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey. Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide. Health Insurance – Comprehensive private health insurance plan. III Pillar Pension - Opportunity to direct a portion of salary increase into a personal retirement account with GoIndex. Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops. Volunteering & Development Days – Paid days annually for volunteering or personal growth. Learning & Development – Annual budget for books, courses, coaching, and more. WOO (Work Outside the Office) – Work from abroad for up to 90 days annually. Home Office Setup – Contribution towards setting up your home office Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement. TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. #LI-AC1 #LI-Remote TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard. Disclaimer It has come to our attention that individuals or agencies are falsely claiming to represent Tide and are reaching out to candidates regarding job opportunities. Please be aware that: Tide does not charge any fees at any stage of the recruitment process. All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel. Communication from Tide will only come from an official @tide.co email address. Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf. If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process. Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy. Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.", "summaryDescription" : "Director of Client Engineering at Tide. Skills: Frontend Architecture, Release Engineering, AI Integration, Leadership. Lead Client Engineering organisation. Ensure frontend ecosystem is competitive", "postedDate" : "2026-06-11T21:07:44.517", "createdAt" : "2026-06-11T21:07:44.517", "lastUpdated" : "2026-06-14T20:30:13.894", "ingestTimestamp" : "2026-06-11T21:07:44.517", "mongoId" : "6a2a5c0074d8ee00a06127b2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Frontend Development", "Mobile Development", "Web Development", "Architecture Design", "Automation Strategy", "AI Integration", "Leadership", "Frontend Architecture", "Release Engineering", "Client Engineering", "Systems Thinking", "Commercial Maturity", "Roadmap planning", "SME banking", "Frontend architecture", "Release engineering", "AI solutions", "Firebase", "DataDog", "LaunchDarkly", "GitHub Actions" ], "skillCount" : 21, "jobCategory" : "other", "jobSubcategory" : "one-platform", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Financial Services" }, { "id" : "6a2a6a0574d8ee00a063a2e4", "title" : "Director of Client Engineering", "company" : "Tide", "industry" : "Financial Services", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Client Engineering in Lithuania, adjusted for FinTech industry and Director seniority." }, "location" : "Lithuania", "locations" : [ "Lithuania" ], "timestamp" : "2026-06-14T21:41:55.690", "fingerprint" : "ed6a1c97efa85384331da6446c0512ce5a1d951d72771dd6112b22024bf72d1a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tide/jobs/7768101003", "externalId" : "7768101003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Lithuania", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Lithuania", "experienceLevel" : "Director", "technicalSkills" : "Flutter, Dart, Java, Spring Boot, PostgreSQL, MySQL, Kafka, AWS SQS, AWS SNS, Kubernetes, EKS", "professionalSkills" : [ "Client Engineering", "Architecture", "Engineering Productivity", "Quality Engineering", "Frontend strategy", "Technical stewardship", "Product virtualisation", "Observability", "Release Engineering", "Commercial maturity" ], "hardSkillsList" : [ "Frontend architecture", "Monorepo workflows", "Code generation", "Backend communication", "BDD testing", "CI/CD" ], "softSkillsList" : [ "Leadership", "Systems Thinking" ], "hardSkills" : [ { "name" : "Frontend architecture", "level" : "intermediate" }, { "name" : "Monorepo workflows", "level" : "intermediate" }, { "name" : "Code generation", "level" : "intermediate" }, { "name" : "Backend communication", "level" : "intermediate" }, { "name" : "BDD testing", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Systems Thinking" } ], "majorSkills" : "Frontend architecture, Release Engineering, Emerging Technology, AI", "majorSkillsList" : [ "Frontend architecture", "Release Engineering", "Emerging Technology", "AI" ], "coreResponsibilities" : "Lead Client Engineering organisation, Ensure frontend ecosystem is competitive, Provide standards and tools, Allow product teams to build, Lead Engineering Managers, Partner with Staff Engineers, Solve complex technical challenges, Own technical direction, Own technical standards, Advocate for frontend stack, Identify bottlenecks, Resolve bottlenecks, Ensure codebase remains sustainable, Evaluate current stack, Evaluate workforce model, Maximise engineering leverage, Advocate for systems, Provide stakeholders visibility, Be responsible for delivery, Implement automation strategy, Prioritise high-frequency deployments, Prioritise predictable deployment cycles, Provide thought leadership, Explore how AI can optimise, Explore how AI can automate, Explore how AI can drive", "teamCollaboration" : "Partner with Staff Engineers; Work with product teams; Stakeholders globally; Technical trade-offs", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "SME banking; Business accounts; Banking services; Administrative solutions; Invoicing; Accounting; Frontend architecture; Mobile release cycles; Client-side experience", "domainList" : [ "sme-banking", "business-accounts", "banking-services", "administrative-solutions", "invoicing", "accounting", "frontend-architecture", "mobile-release-cycles", "client-side-experience" ], "domainSpecificKnowledge" : [ "SME banking", "Business accounts", "Banking services", "Administrative solutions", "Invoicing", "Accounting", "Frontend architecture", "Mobile release cycles", "Client-side experience" ], "toolProficiency" : [ "Firebase", "DataDog", "LaunchDarkly", "GitHub Actions" ], "communicationSkills" : "Communicate trade-offs", "continuousLearning" : "L&D activities", "innovationCreativity" : "Emerging Technology; AI; Agentic solutions", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Frontend ecosystem competitive advantage; Build with confidence; Build with speed; Maximise engineering leverage; Full visibility into product experience; High-frequency deployments; Predictable deployment cycles; Optimise frontend performance; Automate routine interactions; Drive personalised member experiences", "qualificationsBasic" : "Led significant engineering organizations, Deep understanding of frontend best practices, Track record of improving efficiency, Track record of modernizing mobile release cycles, Understand technical strategy must serve business goals", "qualificationsPreferred" : "Experience with AI, Experience with agentic solutions", "workSiteFlexibility" : "Flexible", "rawDescription" : "ABOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: Tide is available for UK, Indian, German and French SMEs Over 2 million members: 900,000 UK and 1,100,000 in India and growing rapidly Over $300 million raised in funding Over 2,800 Tideans globally Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg ABOUT THE TEAM You will lead the Client Engineering organisation, responsible for the core health and delivery of Tide’s mobile and web applications. This group comprises Core Architecture, Engineering Productivity, and Quality Engineering. Your mission is to ensure our frontend ecosystem is a competitive advantage, providing the standards and tools that allow our product teams to build with confidence and speed. You will lead a team of Engineering Managers and partner with a tenured community of Staff Engineers to solve our most complex technical challenges. ABOUT THE ROLE As Director of Client Engineering, you own the technical direction and standards for Tide’s frontend. We are looking for a leader who is deeply engaged in the architectural health of our applications. You will be the primary advocate for a frontend stack that is performant, maintainable, and aligned with our commercial goals. As Director of Client Engineering you will Architectural Advocacy: Partner with our Staff Engineers to drive a pragmatic frontend strategy. You will take a hands-on approach to identifying and resolving bottlenecks in our large-scale monorepo workflows, ensuring the codebase remains sustainable. Technical Stewardship & Efficiency: Advocate for the technical solutions that make the most sense for Tide’s business goals. You will evaluate our current stack and workforce model to ensure we are maximising engineering leverage without sacrificing the right tool for the job. Product Virtualisation & Observability: Advocate for systems that provide stakeholders globally with full visibility into the product experience across all configurations. Delivery Excellence: Be responsible for the delivery of a modern Release Engineering model. You will ensure your teams implement a comprehensive automation strategy that prioritises high-frequency, predictable deployment cycles. Emerging Technology & AI: Provide thought leadership on leveraging AI and agentic solutions within the client-side experience. You will explore how AI can optimise frontend performance, automate routine interactions, and drive personalised member experiences. WHAT WE ARE LOOKING FOR Seasoned Leadership: You have led significant engineering organisations and are comfortable navigating the complexities of high-scale frontend architecture. Skilled Collaborator: You can thoughtfully debate technical trade-offs to reach the best outcome for the business. Frontend Pragmatist: You have a deep understanding of frontend best practices. You aren’t tied to a specific framework or a single way of working and instead focus on the best outcome for the business. You have a track record of improving efficiency and modernising mobile release cycles, and you know how to navigate the technical and organisational trade-offs involved in those transitions. Systems Thinking: You naturally see the connection between technical foundations and team velocity. You focus on the system-level improvements that help every product team move faster. Commercial Maturity: You understand that technical strategy must serve business goals. You are comfortable making and communicating trade-offs to both technical and non-technical stakeholders. OUR TECH STACK We use the latest iterations of Flutter and Dart with a modular architecture to build scalable applications. Our stack includes state management, dependency injection, and navigation tools to streamline development. We emphasize code generation, backend communication efficiency, and BDD testing. Monitoring, analytics, and CI/CD are powered by Firebase, DataDog, LaunchDarkly, and GitHub Actions for seamless deployment and reliability. We use: Frontend: Flutter (Mobile), Angular (Web) Backend: Java (17+), Spring Boot Databases: PostgreSQL, MySQL Messaging: Kafka, AWS SQS/SNS Infrastructure: Kubernetes (EKS), AWS WHAT YOU’LL GET IN RETURN Our location-specific employee benefits are designed to cater to the unique needs of Tideans: Competitive Compensation - Competitive salary and share options. Remote first 25 days of paid annual leave 3 paid days off for volunteering or L&D activities Private Health Insurance Mental Health Support Platform FitPass Family and friendly leave (according to statutory) Personal L&D budget TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. #LI-AC1 #LI-Remote TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard. Disclaimer It has come to our attention that individuals or agencies are falsely claiming to represent Tide and are reaching out to candidates regarding job opportunities. Please be aware that: Tide does not charge any fees at any stage of the recruitment process. All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel. Communication from Tide will only come from an official @tide.co email address. Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf. If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process. Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy. Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.", "summaryDescription" : "Director of Client Engineering at Tide. Skills: Frontend architecture, Release Engineering, Emerging Technology, AI. Lead Client Engineering organisation. Ensure frontend ecosystem is competitive", "postedDate" : "2026-06-11T19:43:36.612", "createdAt" : "2026-06-11T19:43:36.612", "lastUpdated" : "2026-06-14T21:41:55.690", "ingestTimestamp" : "2026-06-11T19:43:36.612", "mongoId" : "6a2a6a0574d8ee00a063a2e4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Frontend architecture", "Monorepo workflows", "Code generation", "Backend communication", "BDD testing", "CI/CD", "Leadership", "Systems Thinking", "Release Engineering", "Emerging Technology", "AI", "Client Engineering", "Architecture", "Engineering Productivity", "Quality Engineering", "Frontend strategy", "Technical stewardship", "Product virtualisation", "Observability", "Commercial maturity", "Agile", "SME banking", "Business accounts", "Banking services", "Administrative solutions", "Invoicing", "Accounting", "Mobile release cycles", "Client-side experience", "Firebase", "DataDog", "LaunchDarkly", "GitHub Actions" ], "skillCount" : 33, "jobCategory" : "other", "jobSubcategory" : "one-platform", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Financial Services" }, { "id" : "69e104412beec4dd3def2724", "title" : "AR Collection Analyst - Japan", "company" : "Beijing Century Joyo Information Technology Co., Ltd. Chengdu Branch", "industry" : "Finance Accounting, Finance/Planning, finance", "salary" : { "min" : 100000.0, "max" : 160000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior AR Collection Analyst in Chengdu, China, adjusted for the technology industry and entry-level experience." }, "location" : "Chengdu, CHN", "locations" : [ "Chengdu, CHN" ], "timestamp" : "2026-06-15T06:36:08.106", "fingerprint" : "2162d0abf455e50718eb537e612ee915dd06418fff144e903c4b735256956c15", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10386589/apply", "externalId" : "52db8a7c-6f10-460f-b0dc-b77fe91cd7c9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chengdu", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "30.6598670,104.0633150" } ], "locationText" : "Chengdu, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Microsoft Office", "professionalSkills" : [ "Accounts", "Collection process", "Data analysis", "Statistical techniques" ], "hardSkillsList" : [ "Advanced Excel" ], "hardSkills" : [ { "name" : "Advanced Excel", "level" : "intermediate" } ], "majorSkills" : "Accounts Receivable, Collections, Japanese language", "majorSkillsList" : [ "Accounts Receivable", "Collections", "Japanese language" ], "coreResponsibilities" : "Handle collection operation tasks, Support Japan AR business, Implement collection process, Lead process improvement, Drive system improvements, Use data analysis, Use statistical techniques, Solve problems, Create solutions, Take on additional projects, Perform additional duties", "teamCollaboration" : "Collaborating with multiple teams", "domainKnowledge" : "Accounts Receivable; Collections", "domainList" : [ "accounts-receivable", "collections" ], "domainSpecificKnowledge" : [ "Accounts Receivable", "Collections" ], "problemSolvingSkills" : "Data analysis; Statistical techniques", "qualificationsBasic" : "Bachelor's degree in accounting and commerce, Speak, write, and read fluently in Japanese, Speak, write, and read fluently in English, Knowledge of Excel at an advanced level", "qualificationsPreferred" : "1+ years of finance operations/shared services, 1+ years accounts payable experience, 1+ years account receivable (collections) experience, 1+ years general ledger experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon’s Finance Operations department is seeking a Japanese-speaking AR analyst to handle collection operation tasks to support Japan AR business. Main Duties and Responsibilities: ·Having expertise in in Accounts Receivable; ·Being the Subject Matter Expert in the domain that he/she supports; ·Implementing collection process with related tools, leading process improvement and driving system automation; ·Using data analysis and statistical techniques to solve problems at their roots; ·Collaborating with multiple teams to create solutions that utilize high standards of analytical rigor and data integrity; ·Taking on additional projects and duties as assigned by the manager. Basic Qualifications: - Bachelor's degree in accounting and commerce (B. Com) - Speak, write, and read fluently in Japanese - Speak, write, and read fluently in English - Knowledge of Excel at an advanced level - Experience with Microsoft Office products and applications Preferred Qualifications: - 1+ years of finance operations/shared services, accounts payable, account receivable (collections) or general ledger experience 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" : "AR Collection Analyst - Japan at Beijing Century Joyo Information Technology Co., Ltd. Chengdu Branch. Skills: Accounts Receivable, Collections, Japanese language. Handle collection operation tasks. Support Japan AR business", "postedDate" : "2026-06-13T17:20:52.958", "createdAt" : "2026-06-13T17:20:52.958", "lastUpdated" : "2026-06-15T06:36:08.106", "ingestTimestamp" : "2026-06-13T17:20:52.958", "mongoId" : "69e104412beec4dd3def2724", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10386589/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Advanced Excel", "Accounts Receivable", "Collections", "Japanese language", "Accounts", "Collection process", "Data analysis", "Statistical techniques" ], "skillCount" : 8, "jobCategory" : "sales", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Finance" }, { "id" : "69ce5d119bc74574cb6609ac", "title" : "ASL Interpreter (Multiple Roles)", "company" : "Bond", "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T12:54:20.165", "fingerprint" : "a8ce70aa1f25e37055159497cdb8b0a0e97ac9e9554243ae68329b6b86e781de", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://bond.breezy.hr/p/e5432d36508f-asl-interpreter-multiple-roles", "externalId" : "e5432d36508f", "industryFunction" : { }, "structuredLocations" : [ { "country" : "united states", "source" : "country_code_strategy", "geo" : "39.8283,-98.5795" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "workSiteFlexibility" : "Onsite", "rawDescription" : "Location: On-site (US-Multiple Locations) or RemoteStatus: Different roles available (W2; Contract) Reports to: Head of Interpretation About the Opportunity:Bond Communications was established in 2023 and launched BondVRS in April 2025 with a mission to reimagine the Video Relay Service (VRS) exper", "summaryDescription" : "ASL Interpreter (Multiple Roles) at Bond", "createdAt" : "2026-06-13T23:46:00.838", "lastUpdated" : "2026-06-15T12:54:20.165", "ingestTimestamp" : "2026-06-13T23:46:00.838", "mongoId" : "69ce5d119bc74574cb6609ac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "infrastructure", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.0 }, { "id" : "6a2a6a0574d8ee00a063a2e2", "title" : "Director of Client Engineering", "company" : "Tide", "industry" : "Financial Services", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Client Engineering in Lithuania, adjusted for FinTech industry and Director seniority." }, "location" : "Lithuania", "locations" : [ "Lithuania" ], "timestamp" : "2026-06-13T17:12:41.536", "fingerprint" : "60951fa75d0c1ca6f4f311fe0b0b9b37df4778ef8d68ad74d63fd944ac5a9354", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tide/jobs/7764441003", "externalId" : "7764441003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Lithuania", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Lithuania", "experienceLevel" : "Director", "technicalSkills" : "Flutter, Dart, Angular, Java, Spring Boot, PostgreSQL, MySQL, Kafka, AWS SQS, AWS SNS, Kubernetes, EKS", "professionalSkills" : [ "Client Engineering", "Frontend architecture", "Release Engineering", "Systems thinking", "Commercial maturity" ], "hardSkillsList" : [ "Frontend development", "Architecture", "Release management", "Automation strategy" ], "softSkillsList" : [ "Leadership", "Systems thinking" ], "hardSkills" : [ { "name" : "Frontend development", "level" : "intermediate" }, { "name" : "Architecture", "level" : "intermediate" }, { "name" : "Release management", "level" : "intermediate" }, { "name" : "Automation strategy", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Systems thinking" } ], "majorSkills" : "Frontend architecture, Release Engineering, AI integration", "majorSkillsList" : [ "Frontend architecture", "Release Engineering", "AI integration" ], "coreResponsibilities" : "Lead Client Engineering organisation, Ensure frontend ecosystem competitive advantage, Provide standards and tools, Allow product teams build with confidence, Allow product teams build with speed, Lead Engineering Managers, Partner with Staff Engineers, Solve complex technical challenges, Own technical direction for frontend, Own technical standards for frontend, Drive pragmatic frontend strategy, Identify bottlenecks in monorepo workflows, Resolve bottlenecks in monorepo workflows, Ensure codebase remains sustainable, Advocate for technical solutions, Evaluate current stack, Evaluate workforce model, Maximise engineering leverage, Advocate for product observability systems, Provide stakeholders visibility into product experience, Be responsible for delivery of Release Engineering model, Ensure teams implement automation strategy, Prioritise high-frequency deployment cycles, Prioritise predictable deployment cycles, Provide thought leadership on leveraging AI, Explore how AI can optimise frontend performance, Explore how AI can automate interactions, Explore how AI can drive personalised experiences", "teamCollaboration" : "Partner with Staff Engineers; Work with product teams; Stakeholder communication", "projectManagementSkills" : [ "Release Engineering", "Automation strategy" ], "domainKnowledge" : "SME banking; Frontend architecture; Monorepo workflows; Release Engineering; AI solutions", "domainList" : [ "sme-banking", "frontend-architecture", "monorepo-workflows", "release-engineering", "ai-solutions" ], "domainSpecificKnowledge" : [ "SME banking", "Frontend architecture", "Monorepo workflows", "Release Engineering", "AI solutions" ], "toolProficiency" : [ "Firebase", "DataDog", "LaunchDarkly", "GitHub Actions" ], "communicationSkills" : "Stakeholder communication", "continuousLearning" : "Personal growth days", "innovationCreativity" : "Emerging technology exploration", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Bottleneck identification", "specialRequirements" : "Work from abroad 90 days, Keep old laptop", "outcomesObjectives" : "Improve frontend performance; Automate routine interactions; Drive personalised member experiences; Improve engineering efficiency; Modernise mobile release cycles", "qualificationsBasic" : "5+ years frontend architecture, Experience modernizing mobile release cycles, Experience navigating technical trade-offs, Experience navigating organizational trade-offs", "qualificationsPreferred" : "Experience with AI agentic solutions", "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: Tide is available for UK, Indian, German and French SMEs Over 2 million members: 900,000 UK and 1,100,000 in India and growing rapidly Over $300 million raised in funding Over 2,800 Tideans globally Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg ABOUT THE TEAM You will lead the Client Engineering organisation, responsible for the core health and delivery of Tide’s mobile and web applications. This group comprises Core Architecture, Engineering Productivity, and Quality Engineering. Your mission is to ensure our frontend ecosystem is a competitive advantage, providing the standards and tools that allow our product teams to build with confidence and speed. You will lead a team of Engineering Managers and partner with a tenured community of Staff Engineers to solve our most complex technical challenges. ABOUT THE ROLE As Director of Client Engineering, you own the technical direction and standards for Tide’s frontend. We are looking for a leader who is deeply engaged in the architectural health of our applications. You will be the primary advocate for a frontend stack that is performant, maintainable, and aligned with our commercial goals. As Director of Client Engineering you will Architectural Advocacy: Partner with our Staff Engineers to drive a pragmatic frontend strategy. You will take a hands-on approach to identifying and resolving bottlenecks in our large-scale monorepo workflows, ensuring the codebase remains sustainable. Technical Stewardship & Efficiency: Advocate for the technical solutions that make the most sense for Tide’s business goals. You will evaluate our current stack and workforce model to ensure we are maximising engineering leverage without sacrificing the right tool for the job. Product Virtualisation & Observability: Advocate for systems that provide stakeholders globally with full visibility into the product experience across all configurations. Delivery Excellence: Be responsible for the delivery of a modern Release Engineering model. You will ensure your teams implement a comprehensive automation strategy that prioritises high-frequency, predictable deployment cycles. Emerging Technology & AI: Provide thought leadership on leveraging AI and agentic solutions within the client-side experience. You will explore how AI can optimise frontend performance, automate routine interactions, and drive personalised member experiences. WHAT WE ARE LOOKING FOR Seasoned Leadership: You have led significant engineering organisations and are comfortable navigating the complexities of high-scale frontend architecture. Skilled Collaborator: You can thoughtfully debate technical trade-offs to reach the best outcome for the business. Frontend Pragmatist: You have a deep understanding of frontend best practices. You aren’t tied to a specific framework or a single way of working and instead focus on the best outcome for the business. You have a track record of improving efficiency and modernising mobile release cycles, and you know how to navigate the technical and organisational trade-offs involved in those transitions. Systems Thinking: You naturally see the connection between technical foundations and team velocity. You focus on the system-level improvements that help every product team move faster. Commercial Maturity: You understand that technical strategy must serve business goals. You are comfortable making and communicating trade-offs to both technical and non-technical stakeholders. OUR TECH STACK: We use the latest iterations of Flutter and Dart with a modular architecture to build scalable applications. Our stack includes state management, dependency injection, and navigation tools to streamline development. We emphasize code generation, backend communication efficiency, and BDD testing. Monitoring, analytics, and CI/CD are powered by Firebase, DataDog, LaunchDarkly, and GitHub Actions for seamless deployment and reliability. We use: Frontend: Flutter (Mobile), Angular (Web) Backend: Java (17+), Spring Boot Databases: PostgreSQL, MySQL Messaging: Kafka, AWS SQS/SNS Infrastructure: Kubernetes (EKS), AWS WHAT YOU’LL GET IN RETURN Our location-specific employee benefits are designed to cater to the unique needs of Tideans: Gross Annual Base Salary €123,200 to €173,250 Time Off – Generous annual leave on top of bank holidays. Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey. Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide. Health Insurance – Comprehensive private health insurance plan. III Pillar Pension - Opportunity to direct a portion of salary increase into a personal retirement account with GoIndex. Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops. Volunteering & Development Days – Paid days annually for volunteering or personal growth. Learning & Development – Annual budget for books, courses, coaching, and more. WOO (Work Outside the Office) – Work from abroad for up to 90 days annually. Home Office Setup – Contribution towards setting up your home office Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement. TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. #LI-AC1 #LI-Remote TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard. Disclaimer It has come to our attention that individuals or agencies are falsely claiming to represent Tide and are reaching out to candidates regarding job opportunities. Please be aware that: Tide does not charge any fees at any stage of the recruitment process. All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel. Communication from Tide will only come from an official @tide.co email address. Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf. If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process. Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy. Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.", "summaryDescription" : "Director of Client Engineering at Tide. Skills: Frontend architecture, Release Engineering, AI integration. Lead Client Engineering organisation. Ensure frontend ecosystem competitive advantage", "postedDate" : "2026-06-11T18:46:51.590", "createdAt" : "2026-06-11T18:46:51.590", "lastUpdated" : "2026-06-13T17:12:41.536", "ingestTimestamp" : "2026-06-11T18:46:51.590", "mongoId" : "6a2a6a0574d8ee00a063a2e2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Frontend development", "Architecture", "Release management", "Automation strategy", "Leadership", "Systems thinking", "Frontend architecture", "Release Engineering", "AI integration", "Client Engineering", "Commercial maturity", "SME banking", "Monorepo workflows", "AI solutions", "Firebase", "DataDog", "LaunchDarkly", "GitHub Actions" ], "skillCount" : 18, "jobCategory" : "other", "jobSubcategory" : "one-platform", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Financial Services" }, { "id" : "6a2c957974d8ee00a098d2c5", "title" : "Collection Merchandiser (H/F)", "company" : "DIM", "industry" : "Retail", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Senior Collection Merchandiser in Rueil-Malmaison, France, adjusted for the Apparel & Fashion industry and company size." }, "location" : "DIM", "locations" : [ "DIM" ], "timestamp" : "2026-06-15T09:40:52.518", "fingerprint" : "b9c8300ee1efa11cd8fcb4c6ac0001f833743c73283337f6d6840d23e06690e2", "source" : "greenhouse", "language" : "fr", "applyUrl" : "https://job-boards.greenhouse.io/dim/jobs/7867138", "externalId" : "7867138", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Rueil-Malmaison", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8777800,2.1802832" } ], "locationText" : "Rueil-Malmaison, France", "employmentType" : "FULL_TIME", "softSkillsList" : [ "Leadership", "Forte capacité analyse", "Orientation résultats", "Compétences communication", "Compétences influence", "Esprit stratégique", "Sens business", "Agilité", "Adaptabilité" ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Forte capacité analyse" }, { "name" : "Orientation résultats" }, { "name" : "Compétences communication" }, { "name" : "Compétences influence" }, { "name" : "Esprit stratégique" }, { "name" : "Sens business" }, { "name" : "Agilité" }, { "name" : "Adaptabilité" } ], "domainKnowledge" : "Dynamiques wholesale; Canaux distribution", "domainList" : [ "dynamiques-wholesale", "canaux-distribution" ], "domainSpecificKnowledge" : [ "Dynamiques wholesale", "Canaux distribution" ], "communicationSkills" : "Compétences influence", "innovationCreativity" : "Stratégie d’innovation; Nouveaux concepts produits", "problemSolvingSkills" : "Forte capacité d’analyse", "outcomesObjectives" : "Soutenir croissance durable; Soutenir croissance rentable", "rawDescription" : "DIM Brands International (DBI) est un fabricant et distributeur éco-responsable de sous-vêtements des marques parmi les plus fortes au monde (DIM, Nur Die, Lovable, La Senza...) pour toute la famille. DIM est le leader du marché en France et la marque préférée des consommateurs français (Étude OpinionWay – 1059 répondants – février 2025), Nur Die est le leader du marché en Allemagne dans le segment des produits de consommation, Lovable est un solide second sur le marché italien de la lingerie et La Senza est une marque canadienne emblématique de sous-vêtements. Les produits DIM sont distribués en Omnicanalité (GMS, Ecommerce et Boutiques DIM). Fondée en 1960, DBI a une longue tradition d'innovation et d'excellence. En 2022, l'entreprise a retrouvé son indépendance et entend accélérer sa croissance en s'appuyant sur une stratégie claire basée sur quatre axes : le développement de ses marques phares, un solide programme d'innovations produits, une stratégie omnicanale forte et un programme d'excellence opérationnelle continue. \"Simplification and Scale\" est notre devise stratégique. Notre ambition est d'ouvrir un nouveau cycle de croissance rentable et de réaliser le plein potentiel mondial de la marque DIM. Le siège de DBI est situé à Rueil-Malmaison, près de Paris, avec des filiales dans toute l'Europe (DACH, Italie, Ibérie, Europe de l'Est, Canada) et des distributeurs au Moyen-Orient, en Asie et en Afrique. Son centre d'approvisionnement (fabrication et logistique) est basé à Autun, en Bourgogne, où plus de 5 milliards de collants ont été produits depuis la création de DIM ! De plus, nous sommes profondément engagés dans une stratégie dynamique ESG, structurée autour de 3 piliers : Planète, Produit, Personnes. Par exemple, la marque DIM est neutre en CO2 scope 1&2, grâce à un mix de réduction et de capture des émissions. Pour nous accompagner dans cette aventure, nous recrutons un(e) Category Leader en CDI. MISSIONS : Rattaché(e) à la Direction Merchandising Groupe, vous serez responsable de la définition et du déploiement de la stratégie de votre catégorie au niveau européen, afin de soutenir une croissance durable et rentable. Vous évoluerez dans un environnement international et matriciel, en lien étroit avec les équipes locales, le design, le développement produit, le marketing et les équipes commerciales. À ce titre, vos principales responsabilités seront les suivantes : Définition et pilotage de la stratégie de catégorie Définir et déployer la stratégie de portefeuille produits sur votre catégorie à l’échelle européenne Piloter la performance de la catégorie (chiffre d’affaires, rentabilité, mix produit) Optimiser les assortiments en conciliant innovation et performance des produits cœur de gamme Construire des plans à moyen et long terme (roadmap à 3 ans) Maximiser les synergies produits entre les marques et les canaux de distribution Analyse marché et stratégie d’innovation Analyser les tendances marché, les insights consommateurs et les performances business Identifier des opportunités de croissance et d’innovation Définir et co-construire la stratégie d’innovation avec les équipes design, marketing et développement produit Développer de nouveaux concepts produits (positionnement, promesse, storytelling, bénéfices consommateurs) Suivre les performances produits et ajuster les stratégies en conséquence Pilotage du développement produit Superviser le développement produit de bout en bout, de l’idéation au lancement Garantir le respect des délais et des objectifs (OTIF) Arbitrer les décisions clés en phase de développement Optimiser les processus et outils en lien avec les équipes internes Coordination et influence transverse Travailler en étroite collaboration avec les équipes locales pour adapter l’offre aux spécificités marchés Fournir aux marchés des packages produits complets (produits, concepts, pricing, supports marketing) Développer des relations de confiance avec les équipes locales Porter et défendre les stratégies auprès des différentes parties prenantes Votre profil : Bac +5 en marketing, merchandising, business ou développement produit Minimum 6 ans d’expérience en merchandising / développement produit, idéalement dans un environnement international Expérience significative en gestion de portefeuille produits et analyse de performance Soft Skills : Leadership et capacité à piloter des projets transverses dans un environnement complexe Forte capacité d’analyse et orientation résultats Excellentes compétences en communication et en influence Capacité à évoluer dans un environnement international, dynamique et multiculturel Esprit stratégique et sens du business Agilité, adaptabilité et capacité à gérer plusieurs projets simultanément Compétences techniques Maîtrise des outils d’analyse et de pilotage (Excel avancé, outils de reporting) Bonne compréhension des dynamiques du wholesale et des canaux de distribution Sensibilité produit, marque et marché Life @DIM : Les collaborateurs sont mis au cœur de la stratégie de notre entreprise, ce qui vous permet d'obtenir les avantages suivants : Évoluer au sein d’un environnement stimulant parmi une équipe jeune et dynamique, et relever de nouveaux défis chaque jour Profiter du restaurant d'entreprise Avoir accès aux ventes organisées par le CE et 30% de réduction sur les produits de nos boutiques et sites internet Avoir un accès à la Conciergerie (services proposés par des esthéticiennes, ostéopathes, cordonniers…) Coaching sportif Notre siège social Européen et filiale française se trouve à Rueil-Malmaison (92500), accessible en RER A, à quelques kilomètres de Paris, dans une enceinte moderne entourée d'espaces verts.", "summaryDescription" : "Collection Merchandiser (H/F) at DIM", "postedDate" : "2026-06-14T04:51:50.204", "createdAt" : "2026-06-14T04:51:50.204", "lastUpdated" : "2026-06-15T09:40:52.518", "ingestTimestamp" : "2026-06-14T04:51:50.204", "mongoId" : "6a2c957974d8ee00a098d2c5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Leadership", "Forte capacité analyse", "Orientation résultats", "Compétences communication", "Compétences influence", "Esprit stratégique", "Sens business", "Agilité", "Adaptabilité", "Dynamiques wholesale", "Canaux distribution" ], "skillCount" : 11, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Apparel & Fashion", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "maintenance of multiple client facing data collection campaigns jobs", "metadata" : { "title" : "maintenance of multiple client facing data collection campaigns" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 41308, "totalPages" : 827, "hasNext" : true, "hasPrevious" : false } }

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