{ "count" : 73789, "data" : [ { "id" : "6a2c6ace74d8ee00a090e14c", "title" : "AI Workflow Specialist", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level AI Workflow Specialist in the US technology industry, adjusted for part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-15T13:30:29.401", "fingerprint" : "306ac419ec1a6ccb927e2ebef39b40bc832c833373f19a9d08f45b1d89c4dc88", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4266793009", "externalId" : "4266793009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "AI, Generative AI, Large Language Models, Machine learning", "professionalSkills" : [ "Data engineering", "Evaluation frameworks", "Human expertise" ], "hardSkillsList" : [ "Data labeling", "Content evaluation", "Data transformation", "Data gathering", "Data compilation", "Data fine-tuning" ], "hardSkills" : [ { "name" : "Data labeling", "level" : "intermediate" }, { "name" : "Content evaluation", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data gathering", "level" : "intermediate" }, { "name" : "Data compilation", "level" : "intermediate" }, { "name" : "Data fine-tuning", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Large Language Models, AI model evaluation", "majorSkillsList" : [ "Generative AI", "Large Language Models", "AI model evaluation" ], "coreResponsibilities" : "Rate AI model performance, Label content elements, Assign predefined categories, Evaluate content quality, Generate labels, Create training data, Apply data transformations, Review data, Identify product feature functionality, Label model outputs, Order or rank items, Create prompts for AI systems, Evaluate content relevance, Generate responses to prompts, Rewrite existing text, Produce concise summaries, Convert spoken language to text, Convert text to another language, Gather data for AI models, Compile digital content", "domainKnowledge" : "Generative AI; Large Language Models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models" ], "qualificationsBasic" : "Bachelor's degree or higher, Professional or Expert level proficiency in English", "qualificationsPreferred" : "Advanced degrees strongly preferred, Master's or PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "AI Workflow Specialist at Innodata Inc.. Skills: Generative AI, Large Language Models, AI model evaluation. Rate AI model performance. 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Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. 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Port Arthur:4680 Highway 365 (320TX-4297)
4680 Highway 365
Port Arthur, 77642-7401

" ], "timestamp" : "2026-06-15T21:14:17.615", "fingerprint" : "bb9d7e76f8952ed1c75d6000dc00e30f4c7a9961f452ca95de8a8cb683cf0da2", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=31565", "externalId" : "31565", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Orange", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.1228634,-93.9041169" }, { "city" : "Port Arthur", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.8716577,-93.9332302" } ], "locationText" : "Orange, Texas, United States; Port Arthur, Texas, United States", "professionalSkills" : [ "Employment services", "Recruitment services", "Labor market information" ], "hardSkillsList" : [ "Interpersonal skills", "Organizational skills", "Recordkeeping skills" ], "hardSkills" : [ { "name" : "Interpersonal skills", "level" : "intermediate" }, { "name" : "Organizational skills", "level" : "intermediate" }, { "name" : "Recordkeeping skills", "level" : "intermediate" } ], "majorSkills" : "Employment services, Client interviews, Job search assistance", "majorSkillsList" : [ "Employment services", "Client interviews", "Job search assistance" ], "coreResponsibilities" : "Connect people to meaningful work, Provide employment services, Support employers with job postings, Identify qualified candidates, Offer recruitment services, Promote electronic tools, Train job seekers on tools, Build résumés, Explore careers, Navigate digital resources, Support job seekers receiving UI, Guide job search efforts, Serve priority populations, Provide worker support, Help navigate complaint process, Ensure access to supportive services, Maintain thorough documentation, Serve as first point of contact, Listen to job seekers, Assess job seeker needs, Guide job seekers to services, Conduct in-depth client interviews, Develop employment plans, Deliver employment services, Explain employment services, Assist job seekers with applications, Prepare for interviews, Prepare for hiring events, Provide referrals to agencies, Support employers with tools, Support employers with insights, Conduct outreach, Conduct presentations, Conduct workshops, Promote workforce programs, Work collaboratively with partners, Ensure seamless service delivery, Represent the agency, Perform other duties", "teamCollaboration" : "Across teams; With communities; With employers; With job seekers; With agency staff; With other workforce programs; With partners", "domainKnowledge" : "Workforce development; Unemployment insurance; Wagner-Peyser requirements", "domainList" : [ "workforce-development", "unemployment-insurance", "wagner-peyser-requirements" ], "domainSpecificKnowledge" : [ "Workforce development", "Unemployment insurance", "Wagner-Peyser requirements" ], "toolProficiency" : [ "WorkInTexas", "MyTXCareer" ], "communicationSkills" : "Explain services clearly; Deliver services clearly", "documentationSkills" : "Maintain records; Documentation of services", "continuousLearning" : "Training opportunities; Development opportunities", "specialRequirements" : "Must be Texas resident, Willing to relocate to Texas, No sponsorship required", "outcomesObjectives" : "Help job seekers succeed; Help employers succeed", "qualificationsBasic" : "Two years and six months of full-time experience in gathering information, interviewing, or the instruction, demonstration, and interpretation of policies in a public or private direct social eligibility information, write case narratives, and processing complaints and related legal procedures", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE: Texas Workforce Commission connects people with careers across the state. While we are based in Austin on the north lawn of the Texas State Capitol, we have offices statewide. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. This position is located at 2266 MacArthur Dr, Orange, TX or 4680 Highway 365, Port Arthur, TX. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. WHO YOU ARE: -A passionate connector: You're dedicated to helping individuals navigate their path to employment by offering meaningful guidance, tools, and support. You believe in empowering people through access to opportunity. -A skilled communicator and interviewer: You ask the right questions, listen with empathy, and offer solutions that match each person’s unique journey. You explain services clearly, ensuring understanding and trust. -A workforce systems navigator: You are comfortable using technology, know how to find and use online resources, and help others do the same—whether it’s job search tools, labor market data, or digital platforms. -An advocate for broad access and opportunities: You are dedicated to helping everyone find opportunities to work, grow, and reach their goals through job connections, training, and support. -A thoughtful team collaborator: You work well across teams and communities, partnering with employers, job seekers, and agency staff to get results. -An organized professional: You juggle multiple tasks with grace, from maintaining accurate records to preparing for community outreach, and you do it all with a strong sense of purpose. WHAT YOU WILL DO: As a Workforce Development Specialist II, you will be a key part of delivering employment services that meet the needs of both job seekers and employers across the state. You will: -Connect people to meaningful work by providing employment services that match job seekers with opportunities aligned to their skills and goals. -Support employers by assisting with job postings, identifying qualified candidates, and offering recruitment services tailored to business needs. -Promote and train job seekers on Workforce Solutions electronic tools, such as WorkInTexas, and MyTXCareer, helping them build résumés, explore careers, and navigate digital resources. -Support job seekers receiving unemployment insurance by guiding their job search efforts and helping them connect to employment opportunities and helpful services. -Serve priority populations including veterans, migrant and seasonal farmworkers (MSFWs), and others with barriers to employment, offering specialized services and targeted outreach. -Provide worker support by helping them navigate the complaint process and ensuring access to supportive services. -Maintain thorough documentation of services provided, client outcomes, and employer engagement in compliance with state and federal reporting requirements. -Perform routine (journey-level) employment work. Works under moderate supervision, with limited latitude for the use of initiative and independent judgment. YOU WILL BE TRUSTED TO: -Serve as a first point of contact for job seekers, listening, assessing needs, and guiding them to appropriate services and employment options. -Conduct in-depth client interviews to understand education, experience, interests, and barriers, using this information to develop employment plans. -Deliver and explain employment services clearly, ensuring clients understand their next steps and have what they need to succeed. -Assist job seekers in completing job applications, creating résumés, and preparing for interviews or hiring events. -Helping clients navigate the complaint system and providing referrals to appropriate agencies. -Support employers with tools, insights, and labor market information that strengthens their ability to recruit and retain talent. -Conduct outreach, presentations, and workshops to promote workforce programs, both in-person and virtually. -Work collaboratively with other workforce programs and partners to ensure seamless service delivery and compliance with all Wagner-Peyser requirements. -Represent the agency with professionalism in communities and workforce centers across Texas. -Perform other duties as assigned to support workforce development goals. YOU QUALIFY WITH: -Two years and six months of full-time experience in gathering information, interviewing, or counseling; the instruction, demonstration, and interpretation of policies in a public or private enterprise; direct social work; eligibility determination; or in workforce development issues and programs and customer service. -Relevant academic credits may be applied toward experience qualifications for this position. YOU ARE A GREAT FIT WITH: -Three years of full-time experience in outreach activities, gathering and disseminating information, interviewing or counseling; the instruction, demonstration, and explanation of policies in a public or private enterprise; social work; eligibility determination; or in workforce development issues and programs. -Knowledge of employment services, unemployment insurance work requirements, and workforce development programs. -Familiarity with Workforce Solutions electronic tools (e.g., WorkInTexas, MyTXCareer). -Ability to compose correspondence, summarize information, write case narratives, and processing complaints and related legal procedures. -Strong interpersonal skills with the ability to connect with individuals from diverse backgrounds. -Ability to work independently while delivering employment services that help job seekers and employers succeed through Workforce Solutions. -Comfort conducting outreach and providing services at employer sites, community centers, educational institutions. -Strong organizational and recordkeeping skills, with attention to detail and a commitment to service excellence. YOU GAIN: - A Family Friendly Certified Workplace. - Competitive starting salary: $3,100.00month - Defined Retirement Benefit Plan - Optional 401(k) and 457 accounts - Medical Insurance - Paid time off, including time for vacation, sick and family care leave - Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_Employment.pdf HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those currently on student or postgraduate visas. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Port Arthur", "summaryDescription" : "Workforce Development Specialist at Texas Workforce Commission. Skills: Employment services, Client interviews, Job search assistance. Connect people to meaningful work. 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We build what makes people better and keep challenging ourselves to inspire others. Your impact: Build AI agents for engineers that transform development workflows.Automate", "summaryDescription" : "AI Integration Engineer at BetterMe. Build AI agents for engineers. 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We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "AI Workflow Associate at Innodata Inc.. Skills: Generative AI, Large Language Models, Data labeling. Rate AI model performance. Label content elements", "postedDate" : "2026-06-14T02:48:26.748", "createdAt" : "2026-06-14T02:48:26.748", "lastUpdated" : "2026-06-15T04:52:42.022", "ingestTimestamp" : "2026-06-14T02:48:26.748", "mongoId" : "6a2c6ace74d8ee00a090e14b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31200, "salaryAnnualMax" : 46800, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data labeling", "Data transformation", "Prompt creation", "Text summarization", "Translation", "Generative AI", "Large Language Models", "Data engineering", "Quantitative analysis", "Analytics engineering" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 1054.0061, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb47774d8ee00a09e8ec3", "title" : "AI Prompt & Workflow Designer", "company" : "Asana", "industry" : "SaaS", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior AI Prompt & Workflow Designer in San Francisco, adjusted for SaaS industry and company size." }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T01:00:52.425", "fingerprint" : "47a4b6b741a97c4716794b3287094cb09bb29453b51d682bb53094da890c080f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.asana.com/jobs/apply/7985215?gh_jid=7985215", "externalId" : "7985215", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, LLM, Low-code, No-code", "professionalSkills" : [ "Workflow design", "Prompt engineering", "Conversation design", "System architecture", "Process optimization", "Performance analysis", "Technical documentation", "Vendor evaluation", "Feature evaluation", "Customer journey mapping", "Logic branching", "Conditional routing" ], "hardSkillsList" : [ "AI workflow design", "Chatbot development", "Copilot development", "Prompt engineering", "Workflow automation", "Data analysis", "Technical documentation" ], "hardSkills" : [ { "name" : "AI workflow design", "level" : "intermediate" }, { "name" : "Chatbot development", "level" : "intermediate" }, { "name" : "Copilot development", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Technical documentation", "level" : "intermediate" } ], "majorSkills" : "AI Prompt Design, Workflow Automation, Conversational AI, LLM Prompt Engineering", "majorSkillsList" : [ "AI Prompt Design", "Workflow Automation", "Conversational AI", "LLM Prompt Engineering" ], "coreResponsibilities" : "Design AI workflows, Construct AI workflows, Optimize AI workflows, Maintain AI workflows, Design chatbots, Construct chatbots, Optimize chatbots, Maintain chatbots, Design internal copilots, Construct internal copilots, Optimize internal copilots, Maintain internal copilots, Capture ambiguous business requirements, Architect AI workflow blueprints, Configure external-facing customer chatbots, Maintain external-facing customer chatbots, Configure internal AI copilots, Maintain internal AI copilots, Define conversation design paths, Test conversation design paths, Refine conversation design paths, Define complex prompt structures, Test complex prompt structures, Refine complex prompt structures, Define conditional routing logic, Test conditional routing logic, Refine conditional routing logic, Stitch AI workflows into tech stack, Stitch agent capabilities into tech stack, Optimize customer-facing AI chat interfaces, Optimize AI search interfaces, Build internal AI workflows, Test internal AI workflows, Iterate on internal AI workflows, Summarize cases, Surface automated knowledge suggestions, Reduce manual post-case administrative work, Monitor chatbot performance data, Analyze chatbot performance data, Analyze conversation logs, Analyze workflow drop-off points, Execute optimization strategies, Maintain master technical blueprints, Maintain workflow logic maps, Maintain prompt libraries, Evaluate emerging AI technologies, Evaluate LLM features, Evaluate vendor capabilities", "teamCollaboration" : "Partner with Services leadership; Partner with Support leadership; Partner with functional owners; Partner with technical SMEs; Partner with Customer Experience SMEs; Partner with Enterprise Technology; Partner with Product teams; Partner with Engineering teams; Collaborate with Support teams; Collaborate with Product teams; Collaborate with Engineering teams; Collaborate with vendor teams", "domainKnowledge" : "AI service delivery; Customer support operations; SaaS support; Customer journey mapping; Logic branching; Conditional routing", "domainList" : [ "ai-service-delivery", "customer-support-operations", "saas-support", "customer-journey-mapping", "logic-branching", "conditional-routing" ], "domainSpecificKnowledge" : [ "AI service delivery", "Customer support operations", "SaaS support", "Customer journey mapping", "Logic branching", "Conditional routing" ], "toolProficiency" : [ "Asana", "Fin.ai", "Salesforce", "Service Cloud" ], "communicationSkills" : "Cross-functional communication; Technical documentation", "documentationSkills" : "Technical blueprints; Workflow logic maps; Prompt libraries", "continuousLearning" : "Learn emerging technologies", "problemSolvingSkills" : "Problem-solving; Root cause analysis; Workflow bottleneck analysis", "outcomesObjectives" : "Unlock Services & Support team productivity; Build seamless internal copilot experiences; Drive world-class self-service outcomes; Maximize resolution accuracy; Drive measurable self-service resolution; Drive measurable deflection metrics; Reduce manual administrative work", "qualificationsBasic" : "6+ years Support Operations experience, 6+ years Business Systems experience, 6+ years technical CX role experience, Proven track record designing AI workflows, Proven track record building AI workflows, Proven track record designing chatbots, Proven track record building chatbots, Proven track record designing automated logic systems, Proven track record building automated logic systems, Advanced hands-on familiarity conversational AI platforms, Advanced hands-on familiarity LLM prompt engineering, Advanced hands-on familiarity low-code/no-code automation tools, Deep experience integrating tools into enterprise ticketing platforms, Exceptional cross-functional communicator, Exceptional collaborator, Ability to influence Support teams, Ability to align Support teams, Ability to influence Product teams, Ability to align Product teams, Ability to influence Engineering teams, Ability to align Engineering teams, Ability to influence vendor teams, Ability to align vendor teams, Turn abstract operational goals into precise technical logic, Assess tool usage, Analyze workflow bottlenecks, Ensure AI systems enable data reporting, Frame complex workflow issues, Confront complex workflow issues, Bring data-backed recommendations to leadership, Document complex systems clearly, Train support delivery teams, Enable support delivery teams", "qualificationsPreferred" : "Experience with SFDC, Experience with Fin, Experience with Asana, Experience integrating tools into Service Cloud ecosystems, Experience integrating tools into Salesforce ecosystems", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "The AI Prompt & Workflow Designer is the strategic architect and hands-on lead responsible for the design, construction, optimization, and maintenance of Asana’s Support & Services AI workflows, chatbots, and internal copilots. Reporting to the Operations Manager - Tools & Automation, this senior individual contributor role acts as the definitive bridge between business stakeholders, Support & Services leadership, and our enterprise technology stack. You will own the technical architecture of our AI service delivery, translating complex business requirements from Subject Matter Experts (SMEs) and functional owners into scalable, automated workflows using low-code/no-code tools. Your core mission is to design the systems that unlock Services & Support team productivity, build seamless internal copilot experiences, and drive world-class self-service outcomes for our global customers. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve Partner directly with Services & Support leadership, functional owners, and technical SMEs to capture ambiguous business requirements and architect them into highly effective, structured AI workflow blueprints Lead the hands-on creation, configuration, and long-term maintenance of external-facing customer chatbots and internal AI copilots designed to assist employees in real-time Define, test, and continually refine conversation design paths, complex prompt structures, and conditional routing logic to eliminate system hallucinations and maximize resolution accuracy Partner closely with Customer Experience SMEs, Enterprise Technology, Product, and Engineering teams to stitch AI workflows and agent capabilities seamlessly into our core tech stack (e.g., Asana, Fin.ai, Salesforce, internal and external knowledge bases, and internal databases) Continuously optimize customer-facing AI chat and search interfaces to drive measurable self-service resolution and deflection metrics without sacrificing customer satisfaction. Build, test, and iterate on internal AI workflows that summarize cases, surfacing automated knowledge suggestions, and reducing manual post-case administrative work. Performance Optimization: Autonomously monitor and analyze chatbot performance data, conversation logs, and workflow drop-off points to identify and execute immediate optimization strategies. Technical Documentation: Own and maintain the master technical blueprints, workflow logic maps, and prompt libraries for all active AI integrations, ensuring clarity for both technical and non-technical audiences. Vendor & Feature Evaluation: Proactively evaluate emerging AI technologies, LLM features, and vendor capabilities that can be integrated into the support tooling ecosystem to reduce manual effort. About you Demonstrat es curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making 6+ years of experience in Support Operations, Business Systems, or a technical CX role within a high-growth B2B SaaS environment, with a proven track record of designing and building complex AI workflows, chatbots, or automated logic systems. It’s a plus if you have experience with SFDC, Fin, and Asana. Advanced hands-on familiarity with conversational AI platforms, LLM prompt engineering, and low-code/no-code automation tools. Deep experience integrating these tools into enterprise ticketing platforms (ideally Service Cloud and Salesforce ecosystems) is highly preferred. Exceptional cross-functional communicator and collaborator able to influence and align with Support, Product, Engineering, and vendor teams at all levels. You excel at taking abstract operational goals and turning them into precise technical logic. Operationally-minded with a bias for simplification, usability, and automation. You possess a deep understanding of customer journey mapping, logic branching, and conditional routing. Strong ability to assess tool usage, analyze workflow bottlenecks, and ensure all AI systems enable meaningful data reporting to back up optimization choices. Curious, proactive, and autonomous. You hold yourself accountable for outcomes, frame and confront complex workflow issues, and bring data-backed recommendations for resolution to leadership. Skilled at documenting complex systems clearly and helping train or enable support delivery teams on new AI workflows and copilot tools. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $128,000 - $145,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.", "summaryDescription" : "AI Prompt & Workflow Designer at Asana. Skills: AI Prompt Design, Workflow Automation, Conversational AI, LLM Prompt Engineering. Design AI workflows. Construct AI workflows", "postedDate" : "2026-06-14T20:10:08.835", "createdAt" : "2026-06-14T20:10:08.835", "lastUpdated" : "2026-06-16T01:00:52.425", "ingestTimestamp" : "2026-06-14T20:10:08.835", "mongoId" : "6a2cb47774d8ee00a09e8ec3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "AI workflow design", "Chatbot development", "Copilot development", "Prompt engineering", "Workflow automation", "Data analysis", "Technical documentation", "AI Prompt Design", "Workflow Automation", "Conversational AI", "LLM Prompt Engineering", "Workflow design", "Conversation design", "System architecture", "Process optimization", "Performance analysis", "Vendor evaluation", "Feature evaluation", "Customer journey mapping", "Logic branching", "Conditional routing", "AI service delivery", "Customer support operations", "SaaS support", "Asana", "Fin.ai", "Salesforce", "Service Cloud" ], "skillCount" : 28, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1012.4058, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.92 }, { "id" : "69ce5e199bc74574cb674d43", "title" : "Workforce Development Lead", "company" : "IAMGOLD", "industry" : "Manufacturing", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Workforce Development role in the Canadian Mining industry, adjusted for seniority and onsite work at a large company." }, "location" : "06 - Cote Gold Mine Site", "locations" : [ "06 - Cote Gold Mine Site", "
06 - Cote Gold Mine Site (06 - Cote Gold Mine Site)
IAMGOLD Corp, Côté Gold Division
3 Mesomikenda Lake RdPO Box 100
Gogama, P0M 1W0

" ], "timestamp" : "2026-06-15T09:12:43.129", "fingerprint" : "89032ecccab18e29be32390f1d36c63f4d933bf2d001760222a304236f7ad72e", "source" : "taleo", "language" : "en", "applyUrl" : "https://iamgold.taleo.net/careersection/ex/jobdetail.ftl?job=57530", "externalId" : "57530", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Ontario", "country" : "Canada", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Ontario, Canada", "employmentType" : "CONTRACT", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "professionalSkills" : [ "Talent management", "Employee relations", "Organizational development", "Instructional design", "Program development", "Training delivery", "Talent pipeline", "Operational excellence", "Workforce sustainability", "Learning frameworks", "Competency pathways", "Curricula development", "Adult learning principles", "Blended delivery methods", "Digital learning tools", "Learning objectives", "Assessment criteria", "Career development", "Inclusive hiring", "Community engagement", "Competency assessments", "Performance metrics", "Learner feedback", "Industry benchmarking" ], "hardSkillsList" : [ "Competency frameworks", "Curriculum development", "Adult-learning principles", "Training methodologies", "Job readiness programs", "Workforce development programs", "Talent pipeline needs", "Evaluation", "Data analysis", "Training effectiveness", "LMS proficiency", "Digital learning tools", "Communication", "Facilitation", "Partnership building" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Competency frameworks", "level" : "intermediate" }, { "name" : "Curriculum development", "level" : "intermediate" }, { "name" : "Adult-learning principles", "level" : "intermediate" }, { "name" : "Training methodologies", "level" : "intermediate" }, { "name" : "Job readiness programs", "level" : "intermediate" }, { "name" : "Workforce development programs", "level" : "intermediate" }, { "name" : "Talent pipeline needs", "level" : "intermediate" }, { "name" : "Evaluation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Training effectiveness", "level" : "intermediate" }, { "name" : "LMS proficiency", "level" : "intermediate" }, { "name" : "Digital learning tools", "level" : "intermediate" }, { "name" : "Communication", "level" : "intermediate" }, { "name" : "Facilitation", "level" : "intermediate" }, { "name" : "Partnership building", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Workforce development, Training programs, Talent management", "majorSkillsList" : [ "Workforce development", "Training programs", "Talent management" ], "coreResponsibilities" : "Manage strategic development of training programs, Implement comprehensive training programs, Focus on job readiness, Focus on continuous skill development, Focus on career progression, Ensure future-ready workforce, Embed industry best practices, Embed competency-based frameworks, Embed professional standards, Strengthen talent pipelines, Enhance operational excellence, Support long-term workforce sustainability, Act as catalyst for learning culture, Act as catalyst for professionalism, Align with organizational goals, Align with evolving demands, Design learning frameworks, Implement learning frameworks, Design competency pathways, Implement competency pathways, Design structured curricula, Implement structured curricula, Align curricula to roles, Partner with internal SMEs, Partner with external SMEs, Ensure training meets standards, Apply adult learning principles, Apply blended delivery methods, Apply digital tools, Enhance engagement, Enhance effectiveness, Enhance knowledge retention, Translate operational requirements, Translate business requirements, Develop job-readiness programs, Manage job-readiness programs, Develop trainee programs, Manage trainee programs, Develop workforce development programs, Manage workforce development programs, Build sustainable pipelines, Collaborate with educational institutions, Collaborate with Indigenous communities, Collaborate with workforce agencies, Support inclusive hiring, Support ESG commitments, Support community engagement, Oversee training delivery, Support trainers, Support supervisors, Manage competency assessments, Maintain LMS records, Evaluate programs, Improve programs", "teamCollaboration" : "Internal SMEs; External SMEs; Indigenous communities; Workforce agencies", "projectManagementSkills" : [ "Program development", "Training delivery" ], "domainKnowledge" : "Mining roles; Technical mining roles; Heavy industry; Energy sector; Manufacturing sector", "domainList" : [ "mining-roles", "technical-mining-roles", "heavy-industry", "energy-sector", "manufacturing-sector" ], "domainSpecificKnowledge" : [ "Mining roles", "Technical mining roles", "Heavy industry", "Energy sector", "Manufacturing sector" ], "toolProficiency" : [ "LMS", "Digital learning tools" ], "communicationSkills" : "Partnership building", "continuousLearning" : "Continuous skill development; Career progression", "problemSolvingSkills" : "Data-driven analysis", "specialRequirements" : "Monday-Thursday schedule, 2 year fixed term contract", "outcomesObjectives" : "Strengthen talent pipelines; Enhance operational excellence; Support workforce sustainability; Build sustainable pipelines", "qualificationsBasic" : "Bachelor's degree in Human Resources, Adult Education degree, Education degree, Organizational Development degree, Industrial Relations degree, Engineering Technology degree, College diploma in related discipline, Substantive experience in program development, Substantive experience in training delivery, 5 years progressive experience in L&D, 5 years progressive experience in instructional design, 5 years progressive experience in workforce development", "qualificationsPreferred" : "Experience in mining, Experience in heavy industry, Experience in energy, Experience in manufacturing", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are IAMGOLD. Innovative, Accountable Mining. IAMGOLD is a Canadian-based gold mining company with operations and development projects across North America and West Africa. With flagship operations such as the Côté Gold Mine in Ontario—one of Canada’s largest and most technologically advanced gold mines—we’re not just mining gold; we’re shaping the future of mining. We believe mining can be different. By combining innovation with a strong commitment to sustainability and accountability, we create lasting value for our people and the communities where we operate. At IAMGOLD, when we engage, empower, and support each other, we create extraordinary outcomes—delivering value for our people, partners, and stakeholders while building stronger, more resilient communities. At Côté Gold, we’re leading the way in modern mining. With an 18+ year mine life, Côté Gold will inject C$5 billion in wages into the economy and create lasting benefits for the region. Over 600 full-time jobs and strong partnerships with Mattagami and Flying Post First Nations mean you’ll be part of something bigger—building prosperity and progress for generations. Industry leaders call us “a model for modern mining and sustainability”, and you can help write the next chapter. Want to Learn More About IAMGOLD? Check out the IAMGOLD Blog Read about our Côté Gold About the role: We are actively seeking a Workforce Development Lead that will manage the strategic development and implementation of comprehensive training programs across all workforce segments—operators, maintainers, technical professionals, and staff functions. These programs will focus on job readiness, continuous skill development, and career progression to ensure a future-ready workforce. By embedding industry best practices, competency-based frameworks, and professional standards, this role will strengthen talent pipelines, enhance operational excellence, and support long-term workforce sustainability. The incumbent will act as a catalyst for building a culture of learning and professionalism that aligns with organizational goals and the evolving demands of the operation. This role will be located at the Cote Gold Mine Site on a Monday-Thursday schedule on a 2 year fixed term contract. Responsibilities: • Design and implement robust learning frameworks, competency pathways, and structured curricula aligned to operational and technical mining roles. • Partner with internal and external SMEs (operations, maintenance, OEMs, safety, and accredited providers) to ensure training meets regulatory, safety, and industry standards. • Apply adult learning principles, blended delivery methods, and digital tools to enhance engagement, effectiveness, and knowledge retention. • Translate operational and business requirements into measurable learning objectives, assessment criteria, and career development roadmaps. • Develop and manage job‑readiness, trainee, and workforce development programs that build sustainable pipelines for critical roles. • Collaborate with educational institutions, Indigenous communities, and workforce agencies to support inclusive hiring, ESG commitments, and community engagement. • Oversee training delivery by supporting trainers and supervisors, managing competency assessments, and maintaining accurate LMS records. • Continuously evaluate and improve programs using performance metrics, learner feedback, operational data, and industry benchmarking. Key Skills & Knowledge: Bachelor’s degree in Human Resources, Adult Education, Education, Organizational Development, Industrial Relations, Engineering Technology, or a related field. Alternatively a college diploma in a related discipline plus substantive, demonstrable experience in program development and training delivery in heavy industry. Relevant Experience: Minimum of 5 years progressive experience in learning & development, instructional design, or workforce development, ideally within mining, heavy industry, energy, or manufacturing. Skills & Strengths, We Value: Training & Program Design: Expertise in competency frameworks, curriculum development, adult-learning principles, and modern training methodologies. Workforce & Talent Development: Proven ability to design job ‑ readiness and workforce development programs aligned with industry standards and long ‑ term talent pipeline needs. Assessment & Continuous Improvement: Strong capability in evaluation, data ‑ driven analysis, and continuous improvement of training effectiveness and outcomes. Digital Enablement & Stakeholder Engagement: Proficient in LMS and digital learning tools, with strong communication, facilitation, and partnership ‑ building skills across diverse stakeholders. What we Offer: At IAMGOLD, we don’t just reward performance we invest in your potential. Our total rewards package is designed to support your well-being today and encourage your growth for tomorrow. Because the future of mining, and your career, starts here. • Comprehensive Health Coverage – Extended health, dental, and insurance benefits for peace of mind. • Flexible Spending Power – Health & Personal Spending Accounts to fit your evolving needs. • Support When It Matters – Employee & Family Assistance Program for life’s challenges. • Future-Ready Savings – Registered Pension Plan with company match, plus TFSA & RRSP options. • Shared Success – Employee Share Purchase Plan with company match—because we grow together. Salary Range: [Enter Range] + bonus The final offer is determined based on your individual skills, qualifications, and competencies and aligned with our commitment to internal equity. We recognize that not everyone will meet every requirement listed, and that’s okay. If this role excites you and you believe you have relevant experience or transferable skills, we encourage you to apply. We value potential and are committed to supporting growth and development. We’re an equal opportunity employer, committed to building a workplace where every perspective sparks progress. We welcome applications from women, Indigenous Peoples, visible minorities, persons with disabilities, and members of the 2SLGBTQIA+ community. Need accommodation during the recruitment process? Just let us know, we’ll make it happen. Mining. Redefined. We’re building a modern mining company driven by innovation, accountability, and a deep commitment to sustainability. Please note that IAMGOLD does not use AI tools within our applicant tracking system to support the screening of applications Canada", "summaryDescription" : "Workforce Development Lead at IAMGOLD. Skills: Workforce development, Training programs, Talent management. Manage strategic development of training programs. Implement comprehensive training programs", "createdAt" : "2026-06-14T08:17:21.463", "lastUpdated" : "2026-06-15T09:12:43.129", "ingestTimestamp" : "2026-06-14T08:17:21.463", "mongoId" : "69ce5e199bc74574cb674d43", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Competency frameworks", "Curriculum development", "Adult-learning principles", "Training methodologies", "Job readiness programs", "Workforce development programs", "Talent pipeline needs", "Evaluation", "Data analysis", "Training effectiveness", "LMS proficiency", "Digital learning tools", "Communication", "Facilitation", "Partnership building", "Leadership", "Workforce development", "Training programs", "Talent management", "Employee relations", "Organizational development", "Instructional design", "Program development", "Training delivery", "Talent pipeline", "Operational excellence", "Workforce sustainability", "Learning frameworks", "Competency pathways", "Curricula development", "Adult learning principles", "Blended delivery methods", "Learning objectives", "Assessment criteria", "Career development", "Inclusive hiring", "Community engagement", "Competency assessments", "Performance metrics", "Learner feedback", "Industry benchmarking", "Mining roles", "Technical mining roles", "Heavy industry", "Energy sector", "Manufacturing sector", "LMS" ], "skillCount" : 47, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 999.29126, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Mining", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8f0874d8ee00a097d4ac", "title" : "AI Workflow Engineer", "company" : "Serotonin", "industry" : "AI", "salary" : { "min" : 80000.0, "max" : 190000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "New York", "locations" : [ "New York", "San Francisco", "Chicago", "Los Angeles" ], "timestamp" : "2026-06-16T00:46:16.773", "fingerprint" : "e6df58ecd765ae8766053ada32382eab81c91544f1eeb58d2e22768e7f4b6283", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/serotonin/eca20c47-3b04-44e9-a45e-34882833015b/apply", "externalId" : "eca20c47-3b04-44e9-a45e-34882833015b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "AI, APIs, JSON", "professionalSkills" : [ "Workflow automation", "Strategy", "Marketing execution", "Systems thinking" ], "hardSkillsList" : [ "Prompt engineering", "Workflow design", "Automation" ], "hardSkills" : [ { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Workflow design", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "AI Workflows, Marketing Automation, Prompt Engineering", "majorSkillsList" : [ "AI Workflows", "Marketing Automation", "Prompt Engineering" ], "coreResponsibilities" : "Diagnose bottlenecks, Map how work moves, Identify where things slow down, Build workflow systems, Build AI-powered workflows, Build content pipelines, Build campaign pipelines, Build no-code automations, Own operational backbone for AI adoption, Level up AI proficiency, Diagnose GTM bottlenecks, Build AI-assisted solutions, Evaluate tools, Test tools, Onboard tools, Define how to measure impact, Build reports", "teamCollaboration" : "Marketing leads; Account teams; Internal teams; External client teams; Global team", "domainKnowledge" : "Go-to-market strategy; Marketing operations; Web3; Digital assets; AI creative tools; Martech stack; Campaign brief; Distribution workflow", "domainList" : [ "go-to-market-strategy", "marketing-operations", "web3", "digital-assets", "ai-creative-tools", "martech-stack", "campaign-brief", "distribution-workflow" ], "domainSpecificKnowledge" : [ "Go-to-market strategy", "Marketing operations", "Web3", "Digital assets", "AI creative tools", "Martech stack", "Campaign brief", "Distribution workflow" ], "toolProficiency" : [ "Make", "Zapier", "N8n", "HubSpot", "Notion", "Slack" ], "innovationCreativity" : "Tinkering with new tools; Experimenting with new tools", "problemSolvingSkills" : "Diagnose bottlenecks; Map workflows; Solve problems", "outcomesObjectives" : "Compress timelines; Improve output quality; Unlock competitive advantage; Create real client impact", "qualificationsBasic" : "Prompt engineering across major LLMs, Hands-on experience with workflow automation tools, Comfort with APIs and JSON, Understand how marketing teams operate", "qualificationsPreferred" : "Crypto or Crypto marketing experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description Who is Serotonin Serotonin is the top go-to-market firm for transformative technologies, specializing in marketing, strategy, recruiting, and legal services. With a global team of 90 across 15 countries, Serotonin has supported over 300 clients in consumer tech, web3 infrastructure, digital assets, venture capital, and AI since its launch in 2020. Delivering end-to-end go-to-market solutions across all major marketing channels - including public relations, growth marketing, on-chain analytics, content, research, social, and design - Serotonin accelerates global innovation. At the core of our business is the Serotonin Platform, serving as a central nucleus for the web3 ecosystem, connecting builders and founders with essential resources to drive business growth. About the Role We’re building the AI layer across Serotonin’s marketing operations. This role sits at the intersection of AI tooling, GTM strategy, and marketing execution. You will identify where AI can compress timelines, improve output quality, and unlock competitive advantage for our internal teams and clients - and then actually build those systems. This isn’t a role for someone who wants to talk about AI. It’s for someone who ships AI-powered workflows regularly and iterates based on the next best thing out there. You’ll work directly with marketing leads, account teams, and clients across web3, consumer tech, and AI - translating cutting-edge AI capabilities into practical GTM impact. ## Responsibilities Diagnose Bottlenecks - spend real time with our different core marketing teams before touching any tooling. Interview team members, map how work actually moves, and identify where things slow down or break. Design & Build for Multiple Teams - build the workflow systems to solve them. That means AI-powered workflows, content and campaign pipelines, and no-code automations that connect into the tools teams already use: HubSpot, Notion, Slack, various native social platforms. Workforce Adoption - You will own the operational backbone that makes AI adoption stick across a 90-person global team: prompt libraries, SOPs, workflow playbooks. You will be responsible for leveling up the AI proficiency across the team. Maintain & Scale - Work directly with internal & external client teams to diagnose GTM bottlenecks and build AI-assisted solutions, from content at scale to campaign automation to research synthesis. Upleveling - Evaluate, test, and onboard tools as the landscape shifts. Define how we measure impact: time saved, output quality, client adoption, etc and build reports around what is working and what isn't. ## Requirements The most important thing is how you approach a problem. You should be the kind of person who interviews the full team before proposing a solution, is able to map a workflow end to end after a few conversations, and gets more satisfaction from making someone else's work easier than from showing off what you built. You think in systems that serve multiple stakeholders at once. When you build something for the content team, you are already thinking about how the PR team will use a version of it next month. On the technical side: strong prompt engineering across the major LLMs, hands-on experience with workflow automation tools like Make, Zapier, or n8n in a real production context, and enough comfort with APIs and JSON to connect things when there's no native integration. Familiarity with the broader martech stack and AI creative tools matters too, but these are learnable. You should understand how a marketing team operates at the foundational level, in regards to how the PR, content, growth, and social teams actually function day to day. Knowing the difference between a campaign brief and a distribution workflow, and why that matters when you're designing an AI system around it. Crypto or Crypto marketing experience is a real plus, but not required. ## This position is ideal for someone who… Doesn’t care about rigid job titles: is equally comfortable acting as a strategist, a builder, a trainer, or an operator depending on what the problem demands Loves tinkering and experimenting with new tools before anyone else has heard of them: and has the judgment to know which ones are worth deploying at scale Gets energy from hard, ambiguous problems: not from following established playbooks, but from writing the new ones Ships fast and isn’t precious about being wrong on the first try Wants to see their work create real client impact: not just live in a deck or a Notion doc that nobody reads Believes AI is a multiplier, not a shortcut: and builds workflows that reflect the difference Thrives in a fast-moving, globally distributed team where autonomy is high and there’s no one to hand the problem off to ## Benefits Competitive Salary Health Insurance (US Only) 401(k) (US Only) Remote Work Environment Parental Leave", "summaryDescription" : "AI Workflow Engineer at Serotonin. Skills: AI Workflows, Marketing Automation, Prompt Engineering. Diagnose bottlenecks. Map how work moves", "postedDate" : "2026-06-12T19:59:28.759", "createdAt" : "2026-06-12T19:59:28.759", "lastUpdated" : "2026-06-16T00:46:16.773", "ingestTimestamp" : "2026-06-14T21:17:18.225", "mongoId" : "6a2c8f0874d8ee00a097d4ac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 80000, "salaryAnnualMax" : 190000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Prompt engineering", "Workflow design", "Automation", "AI Workflows", "Marketing Automation", "Prompt Engineering", "Workflow automation", "Strategy", "Marketing execution", "Systems thinking", "Go-to-market strategy", "Marketing operations", "Web3", "Digital assets", "AI creative tools", "Martech stack", "Campaign brief", "Distribution workflow", "Make", "Zapier", "N8n", "HubSpot", "Notion", "Slack" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 977.49274, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b9370f0b99d584401d8", "title" : "Workforce Staffing Specialist", "company" : "Souq. com for E-Commerce LLC", "industry" : "Human Resources, global corporate", "salary" : { "min" : 360000.0, "max" : 540000.0, "currency" : "EGP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for E-commerce in Giza, Egypt, adjusted for mid-seniority and 3+ years of experience." }, "location" : "Giza, EGY", "locations" : [ "Giza, EGY" ], "timestamp" : "2026-06-15T04:15:57.388", "fingerprint" : "6667264d33d4cb0971079d05e82e2fc8baad57811687561ca6a4fd1e044403e0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3137393/apply", "externalId" : "6d18936a-2b53-4e65-82eb-aaa68fa0b050", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Giza", "country" : "Egypt", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "29.9870753,31.2118063" } ], "locationText" : "Giza, Egypt", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "professionalSkills" : [ "Talent acquisition", "Labor relations", "Budget management", "Stakeholder management", "Process improvement" ], "hardSkillsList" : [ "Data analysis", "Forecasting", "Reporting" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Workforce staffing, Talent management, Labor acquisition", "majorSkillsList" : [ "Workforce staffing", "Talent management", "Labor acquisition" ], "coreResponsibilities" : "Create vision based on data, Develop scalable strategies, Evolve labor acquisition strategies, Implement labor acquisition strategies, Partner with local Site Leadership, Optimize labor requirements, Develop stakeholder relationships, Maintain stakeholder relationships, Manage performance reporting, Forecast labor demand plans, Create staffing strategies, Build infrastructure, Ensure team resource capabilities, Evolve strategies based on needs, Implement strategies based on needs, Track hiring event schedules, Track forecasted attendance rates, Lead projects, Drive projects, Manage programs through completion, Set KPI benchmarks, Set metrics, Prioritize to meet SLAs, Manage cost per hire budgets, Oversee labor acquisition costs, Oversee advertising costs, Oversee talent acquisition costs, Build strategies to optimize candidate cycle time, Build strategies to optimize conversion rates, Build strategies to optimize applicant funnel metrics, Exceed associate experience service levels, Exceed KPI's measured by hiring activity, Exceed KPI's measured by defect reduction, Partner with Finance Managers, Partner with Operations Leaders, Forecast labor demand, Plan labor demand", "teamCollaboration" : "Partner with Site Leadership; Partner with Finance Managers; Partner with Operations Leaders", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Workforce staffing; Labor models", "domainList" : [ "workforce-staffing", "labor-models" ], "domainSpecificKnowledge" : [ "Workforce staffing", "Labor models" ], "problemSolvingSkills" : "Data-driven decision making", "specialRequirements" : "Travel as needed", "outcomesObjectives" : "Capture best talent; Capture diverse candidates; Lowest cost per hire; Lowest cost per WFS employee; Meet and exceed SLAs", "qualificationsBasic" : "3+ years human resources experience, Experience with HR processes, Experience with HR systems", "qualificationsPreferred" : "Experience with process improvement, Experience with stakeholder management, Experience managing confidential information, Adherence to strict confidentiality standards", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon’s Workforce Staffing (WFS) team is pioneering solutions to our toughest workforce challenges across the globe, building innovative labor models and infrastructure that improve Amazon’s employment value proposition and scale over time. We are looking to hire a talented and committed WFS Specialist to join the Workforce Staffing (WFS) Team. We are a geographically distributed team, and you would be located at our buildings in Giza to support EGY Org. Key job responsibilities · Creates a vision, based upon data, for a team/business and develops scalable strategies that capture the best talent and most diverse candidates at the lowest cost per hire and cost per WFS employee · Evolves and implements labor acquisition strategies inclusive of employee class recommendations, labor pool utilization, talent pool conversion and other channel resources across different Amazon businesses · Partners with local Site Leadership teams to include but not limited to Operations, Finance, Human Resources, and associated workflow teams to optimize labor requirements · Develops and maintains relationships with both internal and external stakeholders to build long term partnerships · Manages the analyses of daily, weekly, and monthly reporting of Workforce Staffing performance via Key Performance Indicators · Forecast labor demand plans and create scalable staffing strategies to build infrastructure and ensure team resource capabilities meet business demand · Evolves and implements strategies based off consistently changing needs of the business by tracking hiring event schedules and forecasted attendance rates · Leads and drives projects, of increasing scale and complexity, and manages programs through completion · Sets KPI’s benchmarks, metrics, and understands how to prioritize to meet and exceed all business SLAs · Must be able to travel as needed to conduct events in various locations within your designated Node or assigned geographical area. · Manage and own cost per hire budgets through oversight of labor acquisition, advertising and other talent acquisition costs within the node · Manage and build strategies to optimize candidate cycle time, conversion rates and applicant funnel metrics to benchmark · Exceed associate experience service levels and KPI’s measured by hiring activity results and defect reduction · Partner with site Finance Managers and Operations Leaders to forecast and plan labor demand Basic Qualifications: - 3+ years of human resources experience - Experience with HR processes and systems Preferred Qualifications: - Experience with process improvement and stakeholder management - Experience managing confidential and sensitive employee information and adherence to strict confidentiality standards 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" : "Workforce Staffing Specialist at Souq. com for E-Commerce LLC. Skills: Workforce staffing, Talent management, Labor acquisition. Create vision based on data. Develop scalable strategies", "postedDate" : "2026-06-13T12:28:37.163", "createdAt" : "2026-06-13T12:28:37.163", "lastUpdated" : "2026-06-15T04:15:57.388", "ingestTimestamp" : "2026-06-13T12:28:37.163", "mongoId" : "693c2b9370f0b99d584401d8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3137393/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Forecasting", "Reporting", "Workforce staffing", "Talent management", "Labor acquisition", "Talent acquisition", "Labor relations", "Budget management", "Stakeholder management", "Process improvement", "Project management", "Labor models" ], "skillCount" : 13, "jobCategory" : "human-resources", "dataQualityScore" : 0.8888889, "_score" : 971.9454, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68ed10ab70f0b99d58e7ba85", "title" : "Workforce Staffing Specialist", "company" : "Amazon Turkey Operasyon Hizmetleri Limited Sirketi", "industry" : "Human Resources, Logistics", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "TRY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for E-Commerce in Istanbul, Turkey, adjusted for mid-seniority and company size." }, "location" : "Istanbul, TUR", "locations" : [ "Istanbul, TUR" ], "timestamp" : "2026-06-15T08:07:13.094", "fingerprint" : "d767c574bd543d14ce672a204307a0c76ee3e055a339579b10b88dcfb22214f4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3105064/apply", "externalId" : "8744216a-749c-463e-a249-78634b11a9f1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Istanbul", "country" : "Turkey", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "41.0063810,28.9758715" } ], "locationText" : "Istanbul, Turkey", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Talent management", "Employee relations", "HR processes", "Organizational development", "Labor management", "Vendor management", "Recruitment coordination", "Personnel recruitment", "Hiring support", "Business metrics", "Service Level Agreements" ], "hardSkillsList" : [ "Document checks" ], "softSkillsList" : [ "Client service focus" ], "hardSkills" : [ { "name" : "Document checks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Client service focus" } ], "majorSkills" : "Workforce staffing, Labor management, Recruitment", "majorSkillsList" : [ "Workforce staffing", "Labor management", "Recruitment" ], "coreResponsibilities" : "Project manage labor, Manage vendors, Ensure Fulfillment Center staffing, Coordinate recruitment of temporary staff, Collaborate with Temp Agencies, Oversee recruitment of quality personnel, Manage Hiring Support teams, Ensure hourly paid recruitment, Act as Functional Expert, Ensure PXT team up to speed, Stay on top of data accuracy, Manage best practice format, Develop business metrics, Deliver business metrics, Manage Service Level Agreements, Establish working relationships, Maintain working relationships", "teamCollaboration" : "Internal stakeholders; External PoCs; Amazon Operations; Fulfillment Center team", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Local employment law", "domainList" : [ "local-employment-law" ], "domainSpecificKnowledge" : [ "Local employment law" ], "communicationSkills" : "Written communication; Verbal communication", "qualificationsBasic" : "Bachelor's degree or equivalent experience, Experience recruiting in corporate, Experience recruiting in search firm, Sourcing and full life cycle recruiting, Excellent Turkish language skills, Excellent English language skills", "qualificationsPreferred" : "Solid communication skills, Organizational maturity, Negotiation abilities, Focus on delivering business results, Execute recruiting strategy, Employer promotion in marketplace, Candidate management, Diversity sourcing, Interview process management, Building and driving talent sourcing, Indirect management of 3Ps, Knowledge of local employment law", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Amazon we believe that every day is still day one. A day to take a first step. A day to look forwards to new challenges. And today is that day for you. It's your day to be part of something great. A day to make your ideas come to life. And your day to join a company that redefines itself every day. That's the energy and passion behind Amazon. At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright and driven people. Amazon is one of the most recognizable brand names in the world and we distribute millions of products each year to our loyal customers. Our overall mission is simple: we want Amazon to be the place where our customers can find, discover and buy anything online. Whatever our customers want, we will find the means to deliver it. With your help, Amazon will continue to enable people to discover new worlds. This is your chance to make history. We are looking to hire a talented and committed Workforce Staffing Specialist to successfully manage the permanent and temporary labour and to co-ordinate the process of labor management. The Workforce Staffing Specialist will report to the Workforce Staffing Manager. Key job responsibilities First and foremost, we’ll be counting on you to project manage labor and vendor management, ensuring that your Fulfillment Center is consistently staffed with quality labor; when required, this will also require coordination and recruitment of temporary members of staff. In light of this, you’ll need to collaborate closely and extensively with Temp Agencies to enable you to hit your targets and oversee recruitment of quality personnel. At a more granular level, you’ll manage Hiring Support teams, to ensure that hourly paid recruitment requirements are consistently met, always in line with agreed SLAs. On top of this, you’ll act as a Functional Expert on document checks, ensuring that all PXT team members are as up to speed as you are. You’ll also stay on top of consistent data accuracy. While you achieve the above, you’ll also need to manage the best practice format for temporary hires, and develop and deliver business metrics in line with this. Further to the above, we’ll be relying on you to manage Service Level Agreements (SLAs), both internally within the business, and via external agencies. At a day-to-day level, you’ll need to establish and maintain healthy working relationships within Amazon Operations, and particularly within your specific Fulfillment Center. Without all of us working together, in tandem, we wouldn’t be able to delight our valued customers, let alone strive to exceed their expectations. Basic Qualifications: - Bachelor’s degree, or equivalent experience - Experience recruiting in corporate and/or search firm environments, including sourcing and full life cycle recruiting - Excellent language skills (both written and verbal), both in Turkish and English - Strong client service focus, particularly within the internal context of a global organization such as ours - Excellent communication skills with internal stakeholders and external PoCs Preferred Qualifications: - Solid communication skills, alongside organizational maturity and negotiation abilities, with a keen focus on delivering business results - Ability to execute a recruiting strategy, including: employer promotion in the marketplace, candidate management, diversity sourcing, and interview process management - Previous experience in building and driving talent sourcing initiatives - Previous experience of indirect management of 3Ps - Knowledge of local employment law 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" : "Workforce Staffing Specialist at Amazon Turkey Operasyon Hizmetleri Limited Sirketi. Skills: Workforce staffing, Labor management, Recruitment. Project manage labor. Manage vendors", "postedDate" : "2026-06-13T19:19:02.868", "createdAt" : "2026-06-13T19:19:02.868", "lastUpdated" : "2026-06-15T08:07:13.094", "ingestTimestamp" : "2026-06-13T19:19:02.868", "mongoId" : "68ed10ab70f0b99d58e7ba85", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3105064/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Document checks", "Client service focus", "Workforce staffing", "Labor management", "Recruitment", "Talent management", "Employee relations", "HR processes", "Organizational development", "Vendor management", "Recruitment coordination", "Personnel recruitment", "Hiring support", "Business metrics", "Service Level Agreements", "Project management", "Local employment law" ], "skillCount" : 17, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 958.30743, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cc2ae74d8ee00a0a072bf", "title" : "Clinical AI Adoption Specialist", "company" : "Clinically AI", "industry" : "Implementation", "salary" : { "min" : 70000.0, "max" : 100000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Diego, CA", "locations" : [ "San Diego, CA" ], "timestamp" : "2026-06-15T07:30:07.568", "fingerprint" : "ca131d12580e16c3a9d8db7a811628e09aa27b82d5a6a4e250d2857d86376621", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/clinicallyai/e7a6d40b-b545-4a10-a0d8-76313147e265/application", "externalId" : "e7a6d40b-b545-4a10-a0d8-76313147e265", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "32.7174202,-117.1627720" } ], "locationText" : "San Diego, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "AI configuration, Prompt engineering", "professionalSkills" : [ "Workflow configuration", "Workflow consulting", "Organizational change management", "Stakeholder management", "Systems thinking", "Operational thinking" ], "hardSkillsList" : [ "Clinical workflow fluency", "AI workflow design" ], "hardSkills" : [ { "name" : "Clinical workflow fluency", "level" : "intermediate" }, { "name" : "AI workflow design", "level" : "intermediate" } ], "majorSkills" : "Customer Success, AI Adoption, Workflow Integration", "majorSkillsList" : [ "Customer Success", "AI Adoption", "Workflow Integration" ], "coreResponsibilities" : "Own end-to-end implementation, Configure workflows, Provide training, Drive adoption, Guide clinicians through transition, Guide administrators through transition, Guide leadership through transition, Serve as operational partner, Integrate AI into workflows, Manage multi-stakeholder implementations, Maintain execution momentum, Guide users through uncertainty, Guide users through skepticism, Adapt communication style", "teamCollaboration" : "Cross-functional role; Work across executives; Work across therapists; Work across compliance leaders; Work across IT stakeholders; Work across frontline staff", "projectManagementSkills" : [ "Implementation ownership" ], "domainKnowledge" : "Healthcare documentation; Chart auditing; Operational workflows; Behavioral health workflows; Clinical usability; Regulatory alignment; Workflow integration; Clinical workflows; Compliance requirements", "domainList" : [ "healthcare-documentation", "chart-auditing", "operational-workflows", "behavioral-health-workflows", "clinical-usability", "regulatory-alignment", "workflow-integration", "clinical-workflows", "compliance-requirements" ], "domainSpecificKnowledge" : [ "Healthcare documentation", "Chart auditing", "Operational workflows", "Behavioral health workflows", "Clinical usability", "Regulatory alignment", "Workflow integration", "Clinical workflows", "Compliance requirements" ], "toolProficiency" : [ "EHR systems" ], "communicationSkills" : "Executive communication; Therapist communication; Compliance communication; IT stakeholder communication; Frontline staff communication", "documentationSkills" : "Clinical documentation", "specialRequirements" : "On-site work required, 20% domestic travel", "outcomesObjectives" : "Sustained usage; Behavioral adoption; Long-term workflow integration; Confident daily usage", "qualificationsBasic" : "5+ years healthcare technology implementation, 5+ years consulting, 5+ years clinical operations, Demonstrated enterprise implementations ownership, Hands-on EHR systems experience, Hands-on clinical documentation experience, Hands-on clinician training experience, Track record change management, Track record user adoption, Active daily AI tools user, Excellent communication skills, Excellent stakeholder management skills", "qualificationsPreferred" : "Behavioral health experience, Substance use experience, IDD experience, Human services experience, Familiarity chart auditing, Familiarity utilization review, Familiarity compliance auditing, Familiarity quality assurance, Familiarity Joint Commission, Familiarity CARF, Familiarity Medicaid requirements, Familiarity ASAM Criteria, Hands-on AI-powered documentation tools, Hands-on ambient listening technologies, Behavioral health clinician background, Experience scaling implementation function", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Clinically AI is a healthcare AI company transforming how clinicians, administrators, compliance teams, and healthcare organizations manage documentation, chart auditing, and operational workflows through artificial intelligence. Our platform reduces administrative burden, improves operational efficiency, and helps behavioral health and healthcare organizations focus more on care delivery and less on documentation and compliance overhead. Built with a strong emphasis on clinical usability, regulatory alignment, and workflow integration, we operate in a fast-growing and rapidly evolving AI healthcare market where adoption, trust, and execution matter. We are seeking a Clinical AI Implementation Specialist to join our team in a hybrid role, working on-site in our San Diego office Monday through Thursday. In this role, you will own end-to-end implementation, workflow configuration, training, and adoption for behavioral health and healthcare customers using the Clinically AI platform. This is not a traditional implementation role focused only on deployment and go-live milestones. Success in this position is measured by sustained usage, behavioral adoption, and long-term workflow integration across clinical, compliance, audit, and operational teams. You will help organizations become AI-native by guiding clinicians, administrators, and leadership teams through the transition from onboarding to confident daily usage of AI in real workflows. This role combines implementation delivery, workflow consulting, AI configuration, stakeholder management, and organizational change management. You will serve as the primary operational partner for customers throughout implementation and early adoption, helping them integrate AI into real clinical and administrative workflows in a way that is practical, compliant, and sustainable over time. This is a highly cross-functional role requiring strong communication, systems thinking, empathy, and execution discipline. You must be comfortable working across executives, therapists, compliance leaders, IT stakeholders, and frontline staff while maintaining clarity, momentum, and trust throughout the customer journey. KEY ATTRIBUTES TO SUCCEED - Adoption-Focused Mindset: You measure success by sustained usage, workflow integration, and customer outcomes rather than implementation completion alone. - Strong Implementation Ownership: You are able to manage complex, multi-stakeholder implementations from kickoff through stabilization while maintaining execution momentum. - Empathy and Change Leadership: You are comfortable guiding clinicians and administrators through uncertainty or skepticism around AI adoption and new workflows. - AI-Native Thinking: You actively use AI tools in your own work and understand prompting, structured outputs, workflow design, and practical AI application in operational environments. - Clinical Workflow Fluency: You understand healthcare and behavioral health documentation workflows, compliance requirements, and how clinicians and audit teams operate in practice. - Communication and Stakeholder Alignment: You are able to communicate effectively with executive sponsors, therapists, compliance teams, IT leaders, and frontline users while adapting your communication style to different audiences. - Systems and Operational Thinking: You understand how implementation, training, adoption, workflow optimization, and customer success connect into a unified operational system. - Thriving in a Fast-Paced Environment: You operate effectively in a high-growth startup where priorities evolve quickly and speed of execution matters. REQUIRED: - 5+ years of experience in healthcare technology implementation, consulting, or clinical operations roles - Demonstrated experience owning enterprise implementations from kickoff through stabilization, including configuration, training, and adoption - Hands-on experience with EHR systems, clinical documentation workflows, and clinician training - Strong track record in change management and user adoption, particularly with users who are new to technology or hesitant about it - Active, daily user of AI tools in your own workflow (LLMs, prompt engineering, structured outputs) - Excellent communication and stakeholder management skills across clinical, operational, and executive audiences PREFERRED BUT NOT REQUIRED (Nice to Have): - Behavioral health, substance use, IDD, or human services experience - Familiarity with chart auditing, utilization review, compliance auditing, or quality assurance workflows - Familiarity with compliance frameworks such as Joint Commission, CARF, Medicaid requirements, and ASAM Criteria - Hands-on experience with AI-powered documentation tools or ambient listening technologies - Background as a behavioral health clinician (LCSW, LPC, LMFT, LMHC, LPCC, psychologist, etc.) - Experience scaling an implementation function in an early-stage SaaS environment This is a full-time hybrid position based in San Diego, CA, with on-site work required Monday through Thursday and up to 20% domestic travel for customer onboarding, training, workshops, and go-live support. Clinically AI is a high-growth early-stage company, and we are intentional about building a strong in-person culture where collaboration, speed, customer feedback, and operational execution are central to success. We offer competitive compensation, healthcare coverage, and flexible time off. The base salary range for this role is $70,000–$100,000 annually, depending on experience, healthcare implementation expertise, customer-facing leadership experience, demonstrated performance, and overall scope alignment. In certain cases, we may consider candidates outside of this range whose background, clinical workflow knowledge, implementation track record, or healthcare AI experience strongly aligns with the needs of the role. The interview process includes an initial screening interview, followed by onsite interviews focused on clinical workflow understanding, AI fluency, implementation execution, stakeholder leadership, and adoption strategy, with a final conversation with the CEO. Final candidates will complete a hiring exercise involving AI workflow configuration and a customer adoption strategy exercise designed to assess systems thinking, implementation judgment, and organizational change management capability. Due to high interest, we will only respond to candidates who meet the basic qualifications. Clinically AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or genetics. ", "summaryDescription" : "Clinical AI Adoption Specialist at Clinically AI. Skills: Customer Success, AI Adoption, Workflow Integration. Own end-to-end implementation. Configure workflows", "createdAt" : "2026-06-13T23:28:04.324", "lastUpdated" : "2026-06-15T07:30:07.568", "ingestTimestamp" : "2026-06-13T23:28:04.324", "mongoId" : "6a2cc2ae74d8ee00a0a072bf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 70000, "salaryAnnualMax" : 100000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Clinical workflow fluency", "AI workflow design", "Customer Success", "AI Adoption", "Workflow Integration", "Workflow configuration", "Workflow consulting", "Organizational change management", "Stakeholder management", "Systems thinking", "Operational thinking", "Implementation ownership", "Healthcare documentation", "Chart auditing", "Operational workflows", "Behavioral health workflows", "Clinical usability", "Regulatory alignment", "Workflow integration", "Clinical workflows", "Compliance requirements", "EHR systems" ], "skillCount" : 22, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 940.8677, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c929f74d8ee00a098646c", "title" : "VP, Talent & Organizational Development", "company" : "Cognite", "industry" : "Technology", "salary" : { "min" : 250000.0, "max" : 400000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a VP, Talent & Organizational Development in Phoenix, United States, adjusted for executive seniority and technology industry." }, "location" : "USA (Phoenix)", "locations" : [ "USA (Phoenix)" ], "certifications" : [ "SHRM-SCP", "CIPD Level 7", "ICF" ], "timestamp" : "2026-06-15T06:58:52.427", "fingerprint" : "97cdbd89a38dcbde583a5c5da3807b2961703ad5a3f112e06d95d448a3e58aa7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/cognite/jobs/4895862101", "externalId" : "4895862101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Phoenix", "state" : "Arizona", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "33.4484367,-112.0741410" } ], "locationText" : "Phoenix, Arizona, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "professionalSkills" : [ "Talent strategy", "Organizational design", "Leadership development", "Succession planning", "Organizational effectiveness", "Workforce analytics", "Talent intelligence", "Change management" ], "hardSkillsList" : [ "People analytics", "Predictive analytics", "Machine learning models", "Data analysis" ], "softSkillsList" : [ "Leadership", "Executive presence" ], "hardSkills" : [ { "name" : "People analytics", "level" : "intermediate" }, { "name" : "Predictive analytics", "level" : "intermediate" }, { "name" : "Machine learning models", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Executive presence" } ], "majorSkills" : "Talent management, Organizational development, AI integration, Workforce planning", "majorSkillsList" : [ "Talent management", "Organizational development", "AI integration", "Workforce planning" ], "coreResponsibilities" : "Architect human capability at scale, Transform talent functions, Define global talent strategy, Deploy AI-driven talent intelligence, Design AI-augmented leadership programs, Introduce AI-powered coaching tools, Build succession planning frameworks, Drive organizational design initiatives, Architect learning ecosystem, Integrate AI tutors, Create reskilling programs, Champion human potential culture, Build people analytics capability, Develop talent scorecards, Use machine learning models", "teamCollaboration" : "Engage with AI practitioners; Present to executives; Lead workforce transformation conversation", "domainKnowledge" : "Industrial digitalization; AI augmentation; Human-AI inclusion; AI-powered people processes", "domainList" : [ "industrial-digitalization", "ai-augmentation", "human-ai-inclusion", "ai-powered-people-processes" ], "domainSpecificKnowledge" : [ "Industrial digitalization", "AI augmentation", "Human-AI inclusion", "AI-powered people processes" ], "communicationSkills" : "Executive presentations; Board-level talent strategy", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Unlock $100B in customer value by 2035", "qualificationsBasic" : "15+ years progressive experience, 4-5 years VP-level leadership, Command of people analytics tools, Experience navigating rapid scaling, Experience with AI-driven role evolution", "qualificationsPreferred" : "Experience in SaaS, Experience in AI, Experience in industrial technology, Familiarity with engineering talent markets, Background in high-growth companies, Pre-IPO organizational maturation, Familiarity with applied science talent", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "What Cognite is: Relentless to achieve Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you’ll demonstrate Ownership The VP of Talent & Organizational Development is a transformative executive role for a leader who will architect how Cognite builds human capability at scale, in an era where the boundary between human expertise and AI augmentation is being redrawn in real time. This role demands a rare profile: a strategic People leader with deep conviction about where AI is taking the workforce, the technical literacy to engage credibly, and the organizational design expertise to build structures that thrive. You will lead the functions of Talent, Leadership Development, Learning, Succession, and Organizational Effectiveness — transforming each through AI-powered insight, tooling, and methodology. Talent Strategy Define Cognite’s global talent strategy — identifying where human capability must lead, where AI augments, and how the workforce of 2030 needs to be built today. Deploy AI-driven talent intelligence to map external talent markets, predict attrition risk, and identify capability gaps before they become business constraints. AI-Augmented Leadership & Organizational Development Design leadership development programs explicitly built for an AI-augmented world — developing leaders who can direct, collaborate with, and critically evaluate AI systems, not just manage people. Introduce AI-powered coaching tools and continuous feedback platforms that give leaders real-time insight into their effectiveness and accelerate behavioral development at scale. Build succession planning frameworks powered by predictive analytics — moving from intuition-based talent reviews to data-driven readiness assessments with quantified risk and opportunity scoring. Drive organizational design initiatives — reimagining team structures, role definitions, and performance models for a world where AI agents are increasingly embedded in workflows. AI-Enabled Learning & Capability Building Architect a next-generation learning ecosystem powered by AI — delivering personalized development paths that adapt to individual capability gaps, career goals, and real-time performance data. Integrate AI tutors, simulation environments, and intelligent practice tools into Cognite’s learning infrastructure, enabling employees to build skills faster and with greater retention. Create structured reskilling and upskilling programs anticipating AI-driven role displacement and evolution — transforming potential workforce disruption into a retention and development opportunity. Culture, Engagement & Human-AI Inclusion Champion a culture of human potential building psychological safety and growth mindsets that allow people to embrace AI as a collaborator. Position Cognite as a model of responsible AI adoption in the workplace — developing clear principles, communication strategies, and change programs that build trust in AI-powered people processes. Talent Intelligence & Workforce Analytics Build a world-class people analytics capability, transforming raw HR data into predictive workforce intelligence that drives strategic business decisions. Develop dashboards and talent scorecards that give the executive team real-time visibility into leadership readiness, capability depth, engagement risk, and workforce trajectory. Use machine learning models to forecast hiring needs, succession gaps, retention risks, and skill obsolescence — enabling proactive rather than reactive talent decisions. The Impact you bring to Cognite A visionary People leader with genuine conviction about the transformative impact of AI on human capability, talent strategy, and organizational design. Technical literacy that enables you to engage credibly with AI practitioners, evaluate tools critically, and distinguish genuine innovation from AI theater. A proven systems architect — able to connect talent strategy, AI tooling, organizational design, and culture into an integrated, self-reinforcing people architecture. Exceptional executive presence, with the credibility to lead the workforce transformation conversation at the most senior levels of a global AI company. A builder’s mindset: as comfortable stress-testing a workforce planning model as you are presenting a board-level talent strategy. Relentless curiosity — someone who reads the research, experiments with new tools, and brings the outside in to keep Cognite’s talent practices at the frontier. Required Qualifications 15+ years of progressive experience in talent management, organizational development, or related HR leadership roles, with significant exposure to technology-driven transformation. At least 4–5 years in a VP-level or equivalent senior leadership role in a high-growth global technology company. Strong command of people analytics tools and platforms, with the ability to translate data into executive-level strategic recommendations. Experience navigating rapid organizational scaling, including workforce redesign in the context of automation and AI-driven role evolution. Location: Hybrid, based in Phoenix, Arizona Preferred Experience Experience in SaaS, AI, or industrial technology environments — familiarity with engineering and technical talent markets is a strong plus. Background in companies navigating high-growth transitions or pre-IPO organizational maturation. Experience in industrial technology, SaaS, or AI-native companies — with familiarity in attracting and retaining engineering and applied science talent. Advanced degree (MBA, MS Organizational Psychology, MS Human-Computer Interaction, or similar) or relevant certification (SHRM-SCP, CIPD Level 7, ICF). A snapshot of our many perks and benefits as a Cogniter * Competitive compensation * 401(k) with employer matching * Competitive health, dental, vision & disability coverages for employees and all dependents * Unlimited PTO * Paid Parental Leave Program * Employee Referral Program Learn more about us Impact 2025 Cognite's Industrial AI: Moonshot We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi. Equal Opportunity Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.", "summaryDescription" : "VP, Talent & Organizational Development at Cognite. Skills: Talent management, Organizational development, AI integration, Workforce planning. Architect human capability at scale. Transform talent functions", "postedDate" : "2026-06-14T08:30:22.659", "createdAt" : "2026-06-14T08:30:22.659", "lastUpdated" : "2026-06-15T06:58:52.427", "ingestTimestamp" : "2026-06-14T08:30:22.659", "mongoId" : "6a2c929f74d8ee00a098646c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 400000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "People analytics", "Predictive analytics", "Machine learning models", "Data analysis", "Leadership", "Executive presence", "Talent management", "Organizational development", "AI integration", "Workforce planning", "Talent strategy", "Organizational design", "Leadership development", "Succession planning", "Organizational effectiveness", "Workforce analytics", "Talent intelligence", "Change management", "Industrial digitalization", "AI augmentation", "Human-AI inclusion", "AI-powered people processes", "SHRM-SCP", "CIPD Level 7", "ICF" ], "skillCount" : 25, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "_score" : 938.44244, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c5f4074d8ee00a08ea5ed", "title" : "Workflow Builder", "company" : "Nscale", "industry" : "Technology", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Workflow Builder in London, UK, adjusted for the technology industry and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-14T19:12:10.892", "fingerprint" : "9832d6ce1dc2e9678e52232b073c68fd471acffbccfa05e8afee46075b1d1ae0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/nscaleoperationsukltd/jobs/4753053101", "externalId" : "4753053101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "technicalSkills" : "Python, TypeScript, Palantir Foundry", "professionalSkills" : [ "Data engineering", "Platform engineering", "AI enablement" ], "hardSkillsList" : [ "Data modeling", "Pipeline orchestration", "Semantic modeling" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Pipeline orchestration", "level" : "intermediate" }, { "name" : "Semantic modeling", "level" : "intermediate" } ], "majorSkills" : "Data architecture, Workflow development, AI data fabric", "majorSkillsList" : [ "Data architecture", "Workflow development", "AI data fabric" ], "coreResponsibilities" : "Execute enterprise roadmap for internal data and application, Align use case development with product and business, Assume end-to-end responsibility for use-case identification, Design use cases, Build use cases, Rollout use cases, Scale partner-developed solutions into production-grade systems, Scale experimental solutions into production-grade systems, Provide platform engineering support, Provide access management support, Provide user support, Provide feedback to vendor, Understand upcoming developments, Implement enterprise standards for data ingestion, Implement enterprise standards for pipeline orchestration, Implement enterprise standards for semantic modeling, Implement enterprise standards for interoperability, Own governance of canonical data models, Own governance of ontologies, Manage schema evolution, Maintain business alignment, Maintain product alignment, Enforce best practices for dataset management, Enforce best practices for version control, Enforce best practices for code quality, Enforce best practices for review processes, Enforce best practices for reproducible AI workflows, Design secure identity framework, Operate secure identity framework, Design secure permissions framework, Operate secure permissions framework, Integrate data across systems, Build feedback loops from AI systems, Track AI system performance, Track AI system reliability, Track AI system operational readiness, Deliver tools to improve efficiency, Deliver data products to improve efficiency, Deliver tools to improve quality, Deliver data products to improve quality, Deliver tools to improve decision-making, Deliver data products to improve decision-making, Drive platform adoption through onboarding, Drive platform adoption through training, Drive platform adoption through documentation, Drive platform adoption through safe self-service development", "teamCollaboration" : "Partner with C-suite; Partner with factory workers; Internal Palantir Center of Excellence", "projectManagementSkills" : [ "Roadmap definition" ], "domainKnowledge" : "AI development; GPU cloud", "domainList" : [ "ai-development", "gpu-cloud" ], "domainSpecificKnowledge" : [ "AI development", "GPU cloud" ], "toolProficiency" : [ "Palantir Foundry", "Git" ], "documentationSkills" : "Documentation", "continuousLearning" : "Dynamic progression plan", "innovationCreativity" : "Relentless innovation; Rapid innovation", "problemSolvingSkills" : "Distill workflows", "outcomesObjectives" : "Achieve superior results; Reduce complexity of AI development; Support strategic business outcomes; Manage costs; Drive rapid innovation; Ensure environmental responsibility; Make decisions backed by data", "qualificationsBasic" : "5+ years of experience in data engineering, Proficiency in Python, Proficiency in TypeScript, Experience with Git or other version control systems", "qualificationsPreferred" : "Experience deploying and building in Palantir Foundry, Proven success in turning ambiguous tasks into products and solutions", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Workflow Builder, London About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future. About the Role We’re looking for a Workflow Builder that will pull together and construct the data, models and workflows to underpin our business. You will bring distinct use cases as well as an overall operating system and architecture for data at Nscale, spanning Infrastructure, Product, Finance, Commercial, People and Operations, amongst others. You will define the roadmap based on business needs, build solutions across relevant product suites including Palantir Foundry, and ensure that teams at Nscale can make decisions backed by the right data. The role is ideal for someone who can distill the most valuable workflows from a myriad of inputs and teams, can effectively partner with C-suite and factory workers alike, and has prior experience deploying Palantir Foundry. What you'll be doing Internal Data and Workflow Development Execute the enterprise roadmap for the internal data and application platform, aligning use case development with product and business priorities. Assume end-to-end responsibility for specific use-case identification, design, build and rollout. Scale partner-developed and experimental solutions into production-grade, internally owned systems. Be a part of the internal Palantir Center of Excellence covering platform engineering, access management, and user support, as well as partnership with the vendor to provide continuous feedback and understanding upcoming developments. Data Architecture, Ontology & Governance Implement enterprise standards for data ingestion, pipeline orchestration, semantic modeling, and interoperability across analytics systems. Own governance of canonical data models and ontologies, managing schema evolution while maintaining business and product alignment. Enforce best practices for dataset management, version control, code quality, review processes, and reproducible AI workflows. Design and operate a secure identity and permissions framework, including RBAC, restricted views, and enterprise identity integrations. AI Enablement, Adoption & Operational Intelligence Integrate data across development, production, and operational systems into a unified AI data fabric supporting real-time insights. Build feedback loops from deployed AI systems to track performance, reliability, and operational readiness. Deliver tools and data products that improve efficiency, quality, and decision-making across teams. Drive platform adoption through onboarding, training, documentation, and safe self-service development practices. About You 5+ years of experience in data engineering within fast-paced and varied environments of any sector Proficiency in Python and TypeScript. Experience deploying and building in Palantir Foundry preferred. Experience with Git or other version control systems, Proven success in taking ambiguous tasks and turning them into products and solutions that were successfully developed, rolled out and adopted. Excitement at the prospect of working in a fast paced, high-growth environment 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 we want you at the core. Highly competitive package (base + equity) with reviews every 12 months. \uD83D\uDE80 Join the fastest-growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI. ✨ Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support. Human-First Flexibility: We treat you as humans first. \uD83E\uDEF6\uD83C\uDFFD Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments. Equal Opportunities Statement We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know. The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.", "summaryDescription" : "Workflow Builder at Nscale. Skills: Data architecture, Workflow development, AI data fabric. Execute enterprise roadmap for internal data and application. Align use case development with product and business", "postedDate" : "2026-06-12T22:18:41.092", "createdAt" : "2026-06-12T22:18:41.092", "lastUpdated" : "2026-06-14T19:12:10.892", "ingestTimestamp" : "2026-06-12T22:18:41.092", "mongoId" : "6a2c5f4074d8ee00a08ea5ed", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Pipeline orchestration", "Semantic modeling", "Data architecture", "Workflow development", "AI data fabric", "Data engineering", "Platform engineering", "AI enablement", "Roadmap definition", "AI development", "GPU cloud", "Palantir Foundry", "Git" ], "skillCount" : 14, "jobCategory" : "other", "jobSubcategory" : "special-projects", "dataQualityScore" : 0.7777778, "_score" : 878.3636, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2176d974d8ee00a0c1b1f8", "title" : "Principal, AWS Workforce Development", "company" : "Amazon.com Services LLC", "industry" : "Public Policy, public relations and public policy", "salary" : { "min" : 164800.0, "max" : 222900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "USA", "locations" : [ "USA" ], "timestamp" : "2026-06-15T02:42:06.619", "fingerprint" : "712b7907fd5c6d55983aec8c3fdb5b857ea11df5a226fec463eca63345918d1a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438113/apply", "externalId" : "52842b5e-fff0-46cd-bf40-ae27641f9cb8", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Workforce development", "Economic development", "Public policy", "Program lifecycle management", "Strategic vision", "Talent needs alignment", "Partnership models" ], "hardSkillsList" : [ "Curriculum development", "Assessment development", "Program accreditation" ], "softSkillsList" : [ "Public speaking" ], "hardSkills" : [ { "name" : "Curriculum development", "level" : "intermediate" }, { "name" : "Assessment development", "level" : "intermediate" }, { "name" : "Program accreditation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Public speaking" } ], "majorSkills" : "Workforce development, Program design, Stakeholder relations", "majorSkillsList" : [ "Workforce development", "Program design", "Stakeholder relations" ], "coreResponsibilities" : "Own workforce program lifecycle, Identify program gaps, Design program solutions, Pilot program execution, Scale program delivery, Deliver programs on time, Deliver programs within budget, Assess workforce offerings, Identify competency mismatches, Build program concept pipeline, Set strategic vision, Translate vision to roadmap, Cultivate stakeholder relationships, Secure policy support, Secure funding support, Secure institutional support, Represent workforce development mission, Build coalitions, Champion internal team needs, Champion external partner needs, Increase program quality, Increase program relevance, Partner with research team, Evaluate program effectiveness, Make evidence-based decisions, Communicate outcomes to leadership, Communicate outcomes to stakeholders, Identify evolving opportunities, Lead entrepreneurial approach, Develop new solutions, Develop new approaches, Build internal consensus, Build external consensus, Iterate through pilot launches, Foster adoption, Drive implementation to scale, Analyze labor demand dynamics, Analyze labor supply dynamics, Build novel partnership models, Build novel partnership approaches, Marshal internal resources, Marshal external resources, Align external political leadership", "teamCollaboration" : "Internal teams; External partners; Public policy teammates; AWS infrastructure teams; Partners across Amazon.com; Policymakers; Educators; Employers; Community organizations; Allied employers; Educational institutions", "projectManagementSkills" : [ "Program management" ], "domainKnowledge" : "Workforce development; Economic development; Labor market demands; Data center infrastructure", "domainList" : [ "workforce-development", "economic-development", "labor-market-demands", "data-center-infrastructure" ], "domainSpecificKnowledge" : [ "Workforce development", "Economic development", "Labor market demands", "Data center infrastructure" ], "communicationSkills" : "Public speaking; Written content; Presentation skills", "innovationCreativity" : "Innovative programs; Fresh approaches; Entrepreneurial approach; New solutions; New approaches; Novel partnership models; Novel partnership approaches", "problemSolvingSkills" : "Gap identification; Solution design; Competency mismatch identification; Evidence-based decisions", "specialRequirements" : "Frequent domestic travel, Frequent global travel, Short notice travel", "qualificationsBasic" : "Bachelor's degree or above, 10+ years experience", "qualificationsPreferred" : "Experience negotiating complex deals, Experience with instructional design, Experience prioritizing multiple assignments, Knowledge of program management lifecycle, Experience designing large scale projects, Experience developing curriculum, Knowledge of education funding sources", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Application deadline: Jun 13, 2026 Are you passionate about building meaningful workforce development partnerships with local stakeholders — ones where everyone wins? Do you thrive on the challenge of designing innovative programs and fresh approaches to workforce development? Amazon is seeking a dynamic team member to do exactly that, playing a key role in driving our economic development initiatives forward in our US regions. Key job responsibilities - Own the full workforce program lifecycle, from gap identification and solution design through pilot execution and scaled delivery. Ensure programs are delivered on time, within budget, and informed by data. - Assess current workforce development offerings against labor market demands and expansion timelines. Identify competency mismatches and build a pipeline of new program concepts to address unmet needs. - Set a multi-horizon strategic vision for workforce development that operates across national, state, regional, and local levels. Translate that vision into a prioritized roadmap aligned to talent needs. - Cultivate high-trust relationships with political, economic development, and education leaders at all levels of government. Secure the policy, funding, and institutional support needed to bring programs to scale. - Represent the workforce development mission through public speaking, written content, convenings, and coalition-building with policymakers, educators, employers, and community organizations. - Champion the needs of internal teams and external partners to continuously increase program quality and relevance. - Partner with the research and analysis team to evaluate program effectiveness, make evidence-based decisions, and communicate outcomes to senior leadership and external stakeholders. A day in the life The role will be responsible for identifying evolving opportunities and leading an entrepreneurial approach to developing new solutions and approaches, building consensus internally and externally, iterating through real world pilot launches, fostering adoption, and driving implementation to scale. This includes analyzing labor demand and supply side dynamics, building novel partnership models and approaches, marshaling internal and external resources, aligning external political leadership, and partnering with other allied employers and educational institutions. About the team AWS Workforce Development is a part of the Global Public Policy team. We work seamlessly with our public policy teammates, internal customers (particularly AWS infrastructure teams), and partners across Amazon.com to drive a robust and highly successful portfolio of data center infrastructure-based workforce development programs. Basic Qualifications: - Bachelor's degree or above in a relevant discipline (e.g. Law, Political Science, Public Policy, Public Affairs, Economic Development) - 10+ years of experience in education leadership, workforce development, economic development, or public policy - Ability to travel frequently, domestically and globally, based on business needs, sometimes on short notice. Preferred Qualifications: - Experience negotiating complex deals with customers and partners or equivalent - Experience with instructional design, curriculum architecture, or training program development - Experience prioritizing and handling multiple assignments at any given time while maintaining commitment to deadlines, or experience completing complex tasks quickly with little to no guidance and react with appropriate urgency to situations that require a quick turnaround - Knowledge of program management lifecycle and project management tools/methodologies - Experience designing, developing, deploying, and maintaining large scale projects. - Experience developing curriculum, assessments and program accreditation. - Knowledge of education funding sources, policies, and legislation - Strong verbal and written communication, and presentation skills. 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. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. 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, , - 164,800.00 - 222,900.00 USD annually", "summaryDescription" : "Principal, AWS Workforce Development at Amazon.com Services LLC. Skills: Workforce development, Program design, Stakeholder relations. Own workforce program lifecycle. Identify program gaps", "postedDate" : "2026-06-13T05:08:50.657", "createdAt" : "2026-06-13T05:08:50.657", "lastUpdated" : "2026-06-15T02:42:06.619", "ingestTimestamp" : "2026-06-13T05:08:50.657", "mongoId" : "6a2176d974d8ee00a0c1b1f8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438113/apply", "salaryAnnualMin" : 164800, "salaryAnnualMax" : 222900, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Curriculum development", "Assessment development", "Program accreditation", "Public speaking", "Workforce development", "Program design", "Stakeholder relations", "Economic development", "Public policy", "Program lifecycle management", "Strategic vision", "Talent needs alignment", "Partnership models", "Program management", "Labor market demands", "Data center infrastructure" ], "skillCount" : 16, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 874.42664, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2cc39c74d8ee00a0a09dad", "title" : "Workforce Onboarding & Development Lead", "company" : "Wisdom", "industry" : "Dental Billing", "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-15T08:31:35.450", "fingerprint" : "07498e18682b581fcf86f807bb7b6a17d7aa1c3017e413c9fe07a80d0a16a8af", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/withwisdom/0cadec14-458b-44e2-b151-3a847fedd40a/application", "externalId" : "0cadec14-458b-44e2-b151-3a847fedd40a", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Canva", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Dental billing procedures", "Dental billing regulations" ], "hardSkills" : [ { "name" : "Dental billing procedures", "level" : "intermediate" }, { "name" : "Dental billing regulations", "level" : "intermediate" } ], "majorSkills" : "Onboarding, Training development, Process improvement", "majorSkillsList" : [ "Onboarding", "Training development", "Process improvement" ], "coreResponsibilities" : "Collaborate with Hiring & Onboarding Manager, Ensure delivery of high-quality onboarding, Guide Revenue Specialists through onboarding, Train new Revenue Specialists, Provide feedback to new Revenue Specialists, Check in on progress, Monitor Revenue Specialist progress, Highlight strengths, Identify areas for growth, Provide actionable feedback, Design training materials, Update training materials, Maintain training materials, Identify training needs, Identify skill gaps, Create relevant assignments, Manage onboarding administrative tasks, Track progress, Setup Google Workspace, Assess work quality, Ensure standards are met, Identify onboarding process improvements, Implement process changes", "teamCollaboration" : "Billing Operations Hiring & Onboarding Manager; Broader team", "domainKnowledge" : "Dental billing; Practice Management Systems", "domainList" : [ "dental-billing", "practice-management-systems" ], "domainSpecificKnowledge" : [ "Dental billing", "Practice Management Systems" ], "toolProficiency" : [ "Canva", "Google Workspace", "Google Chat", "Google Drive", "Google Calendar" ], "documentationSkills" : "Training materials", "problemSolvingSkills" : "Identify training needs; Identify skill gaps; Identify onboarding process improvements", "outcomesObjectives" : "Revenue Specialists reach placement readiness; New Revenue Specialists feel supported; New Revenue Specialists feel informed; New Revenue Specialists feel confident; Revenue Specialists demonstrate quality of work; Revenue Specialists demonstrate client satisfaction; Onboarding materials are continuously improving; Onboarding processes are continuously improving; Onboarding touchpoints are continuously improving", "qualificationsBasic" : "2 years remote dental billing experience, Understanding of dental billing procedures, Understanding of dental billing regulations, Extensive working knowledge of multiple dental Practice Management Systems", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Wisdom Wisdom blends industry expertise with advanced technology to make dental practices work better for everyone involved. We believe dentistry is about people, and we exist to make the future of dentistry stronger and more sustainable for dentists, their teams, and the patients they serve. We match administrative teams with expert billers and custom-built technology to take on the heavy lifting of dental billing while maximizing dentists’ time in-office, and their bottom line. Coming from a fresh $21M Series A round of funding we are looking for exceptional candidates to help us build a category-defining company. Wisdom has employees across the US. Workforce Onboarding & Development Lead Wisdom is hiring a full-time Workforce Onboarding & Development Lead to join our operations team and play an impactful role in preparing new Revenue Specialists for success from day one. In this role, you'll own the onboarding journey for every new Revenue Specialist at Wisdom — guiding them through training, building their confidence across multiple practice management systems, and setting them up for strong first assignments. This is a full-time, fully remote role, reporting to the Billing Operations Workforce Manager. What You'll Do - Collaborate closely with the Billing Operations Hiring & Onboarding Manager to ensure the delivery of high-quality, consistent onboarding experiences - Guide Revenue Specialists through the full onboarding process — from initial introduction to company policies, procedures, and culture, through to placement readiness - Meet with new Revenue Specialists one-on-one to train, provide feedback, and check in on their progress, satisfaction, and engagement throughout onboarding - Monitor Revenue Specialist progress during the onboarding period, highlighting strengths and identifying areas for growth with actionable, supportive feedback - Design, update, and maintain training materials using tools such as Canva to ensure content is current, visually clear, and effective - Identify training needs and skill gaps in new Revenue Specialists, and create relevant assignments to build their knowledge before they work directly with an office - Manage onboarding administrative tasks including progress tracking and Google Workspace setup (Chat, Drive, Google Calendar, and related tools) - Assess work quality at key checkpoints to ensure Revenue Specialists meet Wisdom's standards before going live - Identify opportunities to improve the onboarding process and partner with the broader team to implement changes that make onboarding even smoother How We Measure Success in This Role We believe great onboarding speaks for itself — and we track the right signals to make sure it's working. In this role, success is measured by: - Onboarding timelines — Revenue Specialists are progressing through onboarding efficiently and reaching placement readiness within expected windows - Candidate experience — New Revenue Specialists feel supported, informed, and confident throughout the onboarding journey, reflected in feedback and engagement check-ins - Post-onboarding performance — Revenue Specialists are demonstrating strong quality of work and client satisfaction in their early assignments - Program effectiveness — Onboarding materials, processes, and touchpoints are continuously improving based on outcomes, feedback, and identified gaps We'd Love to Hear From You If You Have - At least 2 years of remote dental billing experience with a strong understanding of dental billing procedures and regulations - Extensive working knowledge of multiple dental Practice Management Systems (PMS) - Strong technical proficiency with tools such as Canva for designing and updating training materials - Excellent interpersonal and communication skills, with a natural ability to coach, encourage, and develop others - Proven ability to work collaboratively with cross-functional teams - Strong organizational and problem-solving abilities with a keen attention to detail Wisdom is an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable law.", "summaryDescription" : "Workforce Onboarding & Development Lead at Wisdom. Skills: Onboarding, Training development, Process improvement. Collaborate with Hiring & Onboarding Manager. 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Technical teams; Non-technical teams", "domainKnowledge" : "Workforce development; Onboarding; On-the-Job Training; Technical training; AI tooling; Automation tooling; Semiconductor manufacturing", "domainList" : [ "workforce-development", "onboarding", "on-the-job-training", "technical-training", "ai-tooling", "automation-tooling", "semiconductor-manufacturing" ], "domainSpecificKnowledge" : [ "Workforce development", "Onboarding", "On-the-Job Training", "Technical training", "AI tooling", "Automation tooling", "Semiconductor manufacturing" ], "toolProficiency" : [ "Microsoft Copilot Studio", "Power Automate" ], "communicationSkills" : "Effective communication", "documentationSkills" : "Documentation", "innovationCreativity" : "Innovative ways of working", "problemSolvingSkills" : "Process optimization; Analytical skills", "outcomesObjectives" : "Reduce manual effort; Improve execution speed; Improve efficiency; Improve scalability; Improve effectiveness; Improve quality; Improve cycle time", "qualificationsBasic" : "Bachelor's degree, 3+ years experience, AI-assisted tools experience, Analytical skills, Proficiency with AI platforms, Effective communication skills, Collaboration skills", "qualificationsPreferred" : "Workforce development experience, Learning & development experience, Training operations experience, Onboarding program design, OJT program design, Technical training program design, Process mapping experience, Continuous improvement methodologies experience, Hands-on AI agent building, Prompt engineering experience, LLM enterprise workflows experience, Translate business requirements, Data analysis experience, Operational metrics reporting experience, Semiconductor manufacturing experience, Technology industry experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Our vision is to transform how the world uses information to enrich life for _all_. ** Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The TPG Workforce Development AI Workflow Integration Specialist partners with subject matter experts and leaders to transform workforce development functions through the integration of AI, automation, and process optimization. This role focuses on improving efficiency, scalability, and effectiveness across Onboarding, On-the-Job Training (OJT) Operations, and Technical Training. This role ensures AI is embedded into daily workflows, enabling teams to reduce manual effort, improve execution speed, and adopt new, innovative ways of working. Micron's Technology & Products Group (TPG) Workforce Development team is seeking an AI Workflow Integration Specialist to drive the adoption and implementation of AI-enabled solutions across Onboarding, On-the-Job Training (OJT) Operations, and Technical Training. In this role, you will analyze existing workflows, identify automation opportunities, and design AI copilots, agents, and workflow automations that improve efficiency, quality, and cycle time. You'll partner closely with leaders, subject matter experts, and cross-functional stakeholders to ensure AI solutions are aligned to business priorities and sustainably integrated into daily operations. This is a high-impact role for someone who thrives at the intersection of process improvement, AI tooling, and workforce enablement. **Responsibilities** * Identify, design, and implement AI-enabled solutions to enhance Onboarding, OJT Operations, and Technical Training workflows * Analyze and streamline existing processes to standardize and optimize workflows prior to automation * Develop and pilot AI copilots, agents, and workflow automations using approved tools and platforms * Partner with leaders and subject matter experts to integrate AI into training content development, OJT execution, and onboarding experiences * Improve efficiency and quality of training development, documentation, and OJT processes through automation and reuse of standardized components * Collaborate with stakeholders to prioritize high-impact use cases and align solutions to business needs * Analyze and report on process improvements, including cycle-time reduction, efficiency gains, and quality outcomes * Support upskilling of WFD team members to effectively integrate AI into daily workflows **Basic Qualifications** * Bachelor's degree in Computer Science, Information Systems, Instructional Design, Industrial Engineering, or a related field * 3+ years of experience in process improvement, workflow automation, or AI/ML solution implementation * Demonstrated experience designing or deploying AI-assisted tools, copilots, or automation workflows in a business environment * Strong analytical skills with the ability to map, assess, and optimize complex processes * Proficiency with AI platforms and automation tools (e.g., Microsoft Copilot Studio, Power Automate, or similar) * Effective communication and collaboration skills with the ability to partner across technical and non-technical teams **Preferred Qualifications** * Experience in a workforce development, learning & development, or training operations environment * Familiarity with onboarding, OJT, or technical training program design and delivery * Experience with process mapping and continuous improvement methodologies (e.g., Lean, Six Sigma) * Hands-on experience building AI agents, prompt engineering, or leveraging large language models in enterprise workflows * Ability to translate business requirements into scalable, repeatable AI-enabled solutions * Experience with data analysis and reporting on operational metrics (cycle time, throughput, quality) * Background in semiconductor manufacturing or technology industry is a plus As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on _[micron.com/careers/benefits](https://www.micron.com/careers/benefits)_. Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your _**[right to work click here.](http://www.justice.gov/crt/worker-information)**_ To learn more about Micron, please visit** _[ micron.com/careers](https://www.micron.com/careers)_** For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at _[hrsupport_na @micron.com](mailto:hrsupport_na@micron.com)_ or 1-800-336-8918 (select option #3) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert**:** Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.", "summaryDescription" : "TPG Workforce Development AI Workflow Integration Specialist at Micron Technology. Skills: AI integration, Workflow automation, Process optimization. Identify AI solutions. Design AI solutions", "postedDate" : "2026-06-02T17:56:32.115", "createdAt" : "2026-06-04T17:56:32.052", "lastUpdated" : "2026-06-05T08:36:30.855", "ingestTimestamp" : "2026-06-04T17:56:32.052", "mongoId" : "6a216ddb74d8ee00a0c0bfd1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Boise-ID---Main-Site/TPG-Workforce-Development-AI-Workflow-Integration-Specialist_JR102630", "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Process mapping", "Workflow optimization", "AI tooling", "Prompt engineering", "Data analysis", "Leadership", "AI integration", "Workflow automation", "Process optimization", "Process improvement", "AI solution implementation", "Instructional design", "Industrial engineering", "Business priorities alignment", "Use case prioritization", "Workforce development", "Onboarding", "On-the-Job Training", "Technical training", "Automation tooling", "Semiconductor manufacturing", "Microsoft Copilot Studio", "Power Automate" ], "skillCount" : 23, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 869.2807, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2ca08474d8ee00a09a2790", "title" : "Senior AI Enablement Specialist - FE", "company" : "Kong", "industry" : "All Cost Center", "salary" : { "min" : 103600.0, "max" : 135000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T04:01:25.912", "fingerprint" : "516783b38afd59b0de97921340ec38c1680a583874beac80d634a6a024c92469", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/kong/9f026472-42bb-4482-a097-f8375d9cad6e/application", "externalId" : "9f026472-42bb-4482-a097-f8375d9cad6e", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, LLM APIs, Agent frameworks", "professionalSkills" : [ "Problem-solving", "Cross-functional support" ], "hardSkillsList" : [ "AI development", "Workflow automation", "Custom tool development", "Technical coaching", "AI governance" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "AI development", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" }, { "name" : "Custom tool development", "level" : "intermediate" }, { "name" : "Technical coaching", "level" : "intermediate" }, { "name" : "AI governance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "AI Enablement, Workflow Automation, Skill Development", "majorSkillsList" : [ "AI Enablement", "Workflow Automation", "Skill Development" ], "coreResponsibilities" : "Understand business team operations, Build AI-powered workflows, Build automations, Build custom tools, Save measurable time, Help team members develop AI skills, Coach one-on-one, Work through sessions, Facilitate structured practice, Recognize reusable solutions, Make solutions reusable, Track AI adoption progress, Report findings to leadership, Set documentation standards, Capture tools and workflows, Capture lessons learned, Develop internal AI governance standards, Mentor junior team members, Mentor interns, Provide hands-on experience, Provide clear feedback, Stay current on AI developments, Translate AI developments into practical applications", "teamCollaboration" : "Work with business teams; Partner with IT; Partner with Security; Partner with Engineering", "domainKnowledge" : "API management concepts; AI models", "domainList" : [ "api-management-concepts", "ai-models" ], "domainSpecificKnowledge" : [ "API management concepts", "AI models" ], "toolProficiency" : [ "Claude", "Claude Code", "Okta", "Slack", "Google Workspace", "Salesforce", "Jira", "Freshservice", "Kong Konnect", "Kong Gateway" ], "communicationSkills" : "Explain technical concepts", "documentationSkills" : "Set documentation standards", "problemSolvingSkills" : "Problem-solving across teams", "qualificationsBasic" : "5+ years technical or cross-functional role, Track record building AI-powered tools, Experience helping others develop technical skills, Clear, concise communication skills, Comfort with ambiguity, Self-direction, Experience working in or with IT organization", "qualificationsPreferred" : "Hands-on AI development platforms experience, Hands-on LLM APIs experience, Hands-on custom agent frameworks experience, Hands-on workflow automation platforms experience, Background in change management, Background in organizational development, Experience in large-scale rollout, Experience in consulting, Experience in solutions engineering, Experience in client-facing technical role, Familiarity with enterprise SaaS tools, Experience creating internal toolkits, Experience creating playbooks, Experience creating training programs, Familiarity with Kong Konnect, Familiarity with Kong Gateway, Familiarity with API management concepts", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Are you ready to unlock intelligence? If you don’t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we’re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others. About the Role: Kong's IT team is standing up a new capability: a small, specialized group that goes directly into business functions and builds AI into how work gets done. We call them AI Enablement Specialists — and we're looking for a senior practitioner to help lead that effort. This isn't an advisory role. You'll be hands-on with the teams you support, building tools that solve real problems and helping people develop new skills they'll carry forward. The scope is company-wide — Sales, Marketing, Finance, HR, Legal, Customer Success, and beyond. You'll have the autonomy to prioritize where your time creates the most value, and the backing of IT leadership to get things done. If you've already done this kind of work — transforming how people and teams operate through AI — and you're looking for an environment where you can do it at scale with real ownership, this is the role. What you'll do: - Spend time inside business teams to understand how they actually work — their tools, processes, pain points, and highest-priority outputs. - Build AI-powered workflows, automations, and custom tools that address real bottlenecks and deliver measurable time savings. - Help team members develop their own AI skills through one-on-one coaching, working sessions, and structured practice — moving them from early experimentation to confident, independent use. - Recognize when a solution built for one team applies to others, and do the work to make it reusable across the organization. - Establish a clear framework for tracking AI adoption progress across business units and report findings to IT leadership on a regular cadence. - Set documentation standards for the team — every tool, workflow, and lesson learned should be captured so it doesn't live only in your head. - Help develop Kong's internal AI governance standards in partnership with IT, Security, and Engineering. - Mentor junior team members and interns, giving them hands-on experience and clear feedback. - Stay current on AI developments and translate what's relevant into practical applications for Kong's business context. What you'll bring: Minimum Requirements - 5+ years of experience in a technical or cross-functional role that required problem-solving across teams and functions. - A track record of building AI-powered tools, automations, or workflows that changed how real work gets done — with specific examples you can speak to. - Experience helping others develop new technical skills, whether through formal training, one-on-one coaching, or team enablement programs. - Clear, concise communication skills — you can explain a technical concept to someone who's never thought about it before, without talking down to them. - Comfort with ambiguity and self-direction; you don't need a detailed roadmap to know where to start. - Experience working in or with an IT organization, or a comparable role supporting business operations across multiple functions. Preferred Qualifications: - Hands-on experience with AI development platforms and tools such as Claude, Claude Code, MCPs, LLM APIs, custom agent frameworks, or workflow automation platforms. - Background in change management, organizational development, or a large-scale rollout that required bringing skeptical stakeholders along. - Experience in consulting, solutions engineering, or a client-facing technical role where you had to earn trust and deliver results quickly. - Familiarity with the enterprise SaaS tools Kong runs on: Okta, Slack, Google Workspace, Salesforce, Jira, or Freshservice. - Experience creating internal toolkits, playbooks, or training programs that outlived your involvement and were adopted at scale. - Familiarity with Kong Konnect, Kong Gateway, or API management concepts — understanding how APIs and AI models connect will help you build smarter tools. #LI-KH1 About Kong: Kong Inc., a leading developer of API and AI connectivity technologies, is building the infrastructure that powers the agentic era. Trusted by the Fortune 500 and startups alike, Kong's unified API and AI platform, Kong Konnect, enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI models. For more information, visit www.konghq.com http://www.konghq.com.", "summaryDescription" : "Senior AI Enablement Specialist - FE at Kong. Skills: AI Enablement, Workflow Automation, Skill Development. Understand business team operations. Build AI-powered workflows", "createdAt" : "2026-06-14T20:12:54.818", "lastUpdated" : "2026-06-16T04:01:25.912", "ingestTimestamp" : "2026-06-14T20:12:54.818", "mongoId" : "6a2ca08474d8ee00a09a2790", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 103600, "salaryAnnualMax" : 135000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "AI development", "Workflow automation", "Custom tool development", "Technical coaching", "AI governance", "Mentoring", "AI Enablement", "Workflow Automation", "Skill Development", "Problem-solving", "Cross-functional support", "API management concepts", "AI models", "Claude", "Claude Code", "Okta", "Slack", "Google Workspace", "Salesforce", "Jira", "Freshservice", "Kong Konnect", "Kong Gateway" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 864.2993, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8ca574d8ee00a0975fed", "title" : "AI Implementation Specialist", "industry" : "Tech & Finance", "salary" : { "min" : 2500.0, "max" : 3000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Egypt", "locations" : [ "Egypt", "Ethiopia", "South Africa", "Argentina", "Nigeria" ], "timestamp" : "2026-06-16T05:01:22.618", "fingerprint" : "e5a5fea4a8741478e77c97b56af45b4ffc9a338316a7b9b9b9311ff6e1da2980", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/scale%20army%20careers/0fedff06-fa37-4d93-b165-81b0e2a30d92/application", "externalId" : "0fedff06-fa37-4d93-b165-81b0e2a30d92", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Egypt", "continent" : "af", "workMode" : "remote" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "continent" : "sa", "workMode" : "remote" }, { "continent" : "af", "workMode" : "remote" }, { "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Egypt; United States", "employmentType" : "CONTRACT", "technicalSkills" : "AI, ChatGPT, Claude, AI agents, Automation systems", "professionalSkills" : [ "Process optimization", "Workflow optimization", "System design", "Data accuracy", "Data security", "Data privacy", "Problem-solving", "Analytical thinking" ], "hardSkillsList" : [ "AI implementation", "Workflow automation", "Accounting automation", "Invoice scanning", "Invoice filing", "Invoice processing", "Order processing", "Data retrieval", "Data organization", "Data storage", "System enhancement", "Repetitive task automation" ], "hardSkills" : [ { "name" : "AI implementation", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" }, { "name" : "Accounting automation", "level" : "intermediate" }, { "name" : "Invoice scanning", "level" : "intermediate" }, { "name" : "Invoice filing", "level" : "intermediate" }, { "name" : "Invoice processing", "level" : "intermediate" }, { "name" : "Order processing", "level" : "intermediate" }, { "name" : "Data retrieval", "level" : "intermediate" }, { "name" : "Data organization", "level" : "intermediate" }, { "name" : "Data storage", "level" : "intermediate" }, { "name" : "System enhancement", "level" : "intermediate" }, { "name" : "Repetitive task automation", "level" : "intermediate" } ], "majorSkills" : "AI Implementation, Workflow Automation, Process Optimization", "majorSkillsList" : [ "AI Implementation", "Workflow Automation", "Process Optimization" ], "coreResponsibilities" : "Audit business processes, Streamline workflows, Implement AI automation systems, Evaluate software functionality, Identify automation opportunities, Deploy AI-powered solutions, Improve efficiency, Improve accuracy, Improve scalability, Audit workflows, Analyze software functionality, Identify bottlenecks, Identify redundancies, Identify automation opportunities, Evaluate accounting processes, Recommend AI-enhanced solutions, Streamline workflows, Improve operational scalability, Build AI agents, Deploy AI agents, Automate accounting workflows, Automate invoice scanning, Automate invoice filing, Automate invoice processing, Create automated systems, Secure automated systems, Automate order processing, Automate data retrieval, Automate data organization, Automate data storage, Replicate existing systems, Redesign existing systems, Enhance existing systems, Improve operational efficiency, Improve scalability, Implement AI-powered solutions, Automate repetitive tasks, Automate business-critical tasks, Organize financial data, Process financial data, Securely store financial data, Organize operational data, Process operational data, Securely store operational data, Ensure data protection compliance, Ensure privacy standards compliance, Maintain data accuracy, Maintain data integrity, Maintain data reliability, Support secure access, Manage business-critical information, Partner with finance teams, Partner with operations teams, Partner with IT teams, Implement automation solutions, Provide training, Provide documentation, Support adoption of AI workflows, Communicate implementation progress, Communicate results, Communicate recommendations, Support teams utilizing AI systems, Support teams utilizing AI processes, Stay informed on AI technologies, Stay informed on automation capabilities, Recommend tools, Recommend systems, Recommend process improvements, Enhance operational efficiency, Monitor AI systems, Ensure AI system accuracy, Ensure AI system reliability, Ensure AI system performance, Evaluate automation opportunities", "teamCollaboration" : "Finance teams; Operations teams; IT teams; Leadership teams", "domainKnowledge" : "Intelligent automation; AI-driven systems; Business operations; Accounting processes; Order processing; Financial management; Data protection; Data privacy", "domainList" : [ "intelligent-automation", "ai-driven-systems", "business-operations", "accounting-processes", "order-processing", "financial-management", "data-protection", "data-privacy" ], "domainSpecificKnowledge" : [ "Intelligent automation", "AI-driven systems", "Business operations", "Accounting processes", "Order processing", "Financial management", "Data protection", "Data privacy" ], "toolProficiency" : [ "ChatGPT", "Claude", "QuickBooks" ], "communicationSkills" : "Communicate progress; Communicate results; Communicate recommendations", "documentationSkills" : "Provide documentation", "continuousLearning" : "Stay informed on AI technologies; Stay informed on automation capabilities", "problemSolvingSkills" : "Identify bottlenecks; Identify redundancies; Identify automation opportunities; Problem-solving; Analytical thinking", "specialRequirements" : "Work U.S. business hours, Align with client time zone", "outcomesObjectives" : "Automate repetitive tasks; Automate accounting tasks; Automate order processing tasks; Reduce operational bottlenecks; Improve efficiency; Improve accuracy; Improve scalability; Ensure data security; Ensure data organization; Ensure data accessibility; Teams utilize AI workflows; Support scalable adoption; Improve business accuracy; Improve operational scalability", "qualificationsBasic" : "3+ years AI solutions implementation, Expert ChatGPT experience, Expert Claude experience, Expert AI-powered workflow automation experience, Experience developing AI agents, Experience deploying AI agents, Experience automating accounting workflows, Experience automating financial workflows, Experience with order processing systems, Experience with operational software, Experience integrating AI solutions, Experience providing training, Experience providing documentation, Experience providing implementation support", "qualificationsPreferred" : "QuickBooks experience preferred, Accounting processes experience preferred, Order processing systems experience preferred, Operational software experience preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone. Our client is a growing organization focused on improving operational efficiency through intelligent automation, streamlined workflows, and modern technology solutions. They work across finance, operations, and business functions to identify opportunities for process improvement and scalable growth. As the organization continues investing in AI-driven systems, they are seeking an experienced AI Implementation Specialist to audit existing workflows, implement automation solutions, and help transform manual processes into efficient, scalable systems that support long-term business success. Role Overview The AI Implementation Specialist will be responsible for auditing business processes, streamlining workflows, and implementing AI-driven automation systems across multiple departments. The AI Implementation Specialist will work closely with finance, operations, and technology stakeholders to evaluate existing software functionality, identify automation opportunities, and deploy AI-powered solutions that improve efficiency, accuracy, and scalability. This role requires a combination of technical expertise, process optimization experience, and the ability to design secure, reliable systems that support critical business operations. Location Fully Remote | 9 AM – 5 PM EST Key Responsibilities Business Process Audit & Optimization - Audit current workflows for order processing, financial management, and operational activities. - Analyze existing software functionality to identify bottlenecks, redundancies, and automation opportunities. - Evaluate accounting processes and recommend AI-enhanced solutions to improve efficiency and accuracy. - Identify opportunities to streamline workflows and improve operational scalability. AI Automation & Implementation - Build and deploy AI agents using ChatGPT, Claude, and related AI technologies. - Automate accounting workflows within QuickBooks, including invoice scanning, filing, and processing activities. - Create secure automated systems for order processing, data retrieval, organization, and storage. - Replicate, redesign, or enhance existing systems to improve operational efficiency and scalability. - Implement AI-powered solutions that automate repetitive and business-critical tasks. Data Management & Security - Organize, process, and securely store financial and operational data. - Ensure compliance with data protection and privacy standards. - Maintain high levels of data accuracy, integrity, and reliability across automated workflows. - Support secure access and management of business-critical information. Cross-Functional Collaboration - Partner closely with finance, operations, and IT teams to implement automation solutions. - Provide training and documentation to support adoption of AI-driven workflows. - Communicate implementation progress, results, and recommendations to leadership. - Support teams in effectively utilizing newly deployed AI systems and processes. Continuous Improvement - Stay informed on emerging AI technologies and automation capabilities. - Recommend tools, systems, and process improvements that enhance operational efficiency. - Monitor AI systems to ensure accuracy, reliability, and ongoing performance. - Continuously evaluate automation opportunities across business functions. Qualifications Experience - 3+ years of experience implementing AI solutions within business operations. - Expert-level experience working with ChatGPT, Claude, and AI-powered workflow automation. - Experience developing and deploying AI agents and automation systems. - Experience automating accounting and financial workflows. - Experience working with QuickBooks and accounting-related processes is strongly preferred. - Experience with order processing systems and operational software. - Experience integrating AI solutions with existing business platforms and systems. - Experience providing training, documentation, and implementation support for business users. Qualifications Skills - Expert knowledge of ChatGPT, Claude, AI workflows, and AI agent development. - Strong process analysis and workflow optimization capabilities. - Strong coding and technical integration skills. - Ability to design scalable automation systems that improve operational efficiency. - Strong understanding of data accuracy, security, and privacy requirements. - Ability to identify bottlenecks, inefficiencies, and automation opportunities. - Strong problem-solving and analytical thinking skills. - Highly organized and detail-oriented approach to implementation and execution. - Proactive mindset with a focus on continuous improvement. - Ability to collaborate effectively across finance, operations, IT, and leadership teams. What Success Looks Like - AI-driven systems automate repetitive accounting and order processing tasks with minimal manual intervention. - Streamlined workflows reduce operational bottlenecks and improve efficiency. - Financial and operational data remains secure, organized, and accessible. - Teams effectively utilize AI-powered workflows with minimal support. - Documentation and training resources support scalable adoption of AI systems. - Automation solutions improve business accuracy, efficiency, and operational scalability. Opportunity This is an exciting opportunity to lead AI implementation initiatives across critical business functions and make a measurable impact on operational performance. The AI Implementation Specialist will work directly with leadership to design, deploy, and optimize systems that improve efficiency, accuracy, and scalability. This role offers significant ownership, visibility, and the opportunity to help shape the future of AI-driven operations within a growing organization. APPLICATION PROCESS: TO BE CONSIDERED FOR THIS ROLE THESE STEPS NEED TO BE FOLLOWED: - Fill in the application form - Record a video showcasing your skill sets", "summaryDescription" : "AI Implementation Specialist. Skills: AI Implementation, Workflow Automation, Process Optimization. Audit business processes. Streamline workflows", "createdAt" : "2026-06-14T21:03:17.803", "lastUpdated" : "2026-06-16T05:01:22.618", "ingestTimestamp" : "2026-06-14T21:03:17.803", "mongoId" : "6a2c8ca574d8ee00a0975fed", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 2500, "salaryAnnualMax" : 3000, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "AI implementation", "Workflow automation", "Accounting automation", "Invoice scanning", "Invoice filing", "Invoice processing", "Order processing", "Data retrieval", "Data organization", "Data storage", "System enhancement", "Repetitive task automation", "AI Implementation", "Workflow Automation", "Process Optimization", "Process optimization", "Workflow optimization", "System design", "Data accuracy", "Data security", "Data privacy", "Problem-solving", "Analytical thinking", "Intelligent automation", "AI-driven systems", "Business operations", "Accounting processes", "Financial management", "Data protection", "ChatGPT", "Claude", "QuickBooks" ], "skillCount" : 32, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 859.0075, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a25145474d8ee00a00bb3dc", "title" : "Forward Deployed AI Integrator, Field Engineering", "company" : "Amazon Data Services, Inc.", "industry" : "Operations, IT, Support Engineering, Technical Program Management, Cloud Computing", "salary" : { "min" : 100000.0, "max" : 172000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Herndon, Virginia, USA", "locations" : [ "Herndon, Virginia, USA" ], "timestamp" : "2026-06-15T01:08:17.367", "fingerprint" : "b394da83011fd78e354c1966a4fcd11700f4abdb7ff80f4da26e49b69b6df730", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10441472/apply", "externalId" : "86cbe745-592f-4ac4-a797-8332336cb8bb", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" } ], "locationText" : "Herndon, Virginia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, GenAI, AI", "professionalSkills" : [ "Workflow automation", "Operational analytics", "Engineering tooling" ], "hardSkillsList" : [ "AI integration" ], "hardSkills" : [ { "name" : "AI integration", "level" : "intermediate" } ], "majorSkills" : "AI integration, Workflow automation, Field Engineering", "majorSkillsList" : [ "AI integration", "Workflow automation", "Field Engineering" ], "coreResponsibilities" : "Embed with regional Field Engineering teams, Identify AI workflow opportunities, Prioritize AI workflow opportunities, Accelerate AI workflow opportunities, Drive adoption of AI-assisted workflows, Replace manually intensive workflows, Build reusable workflow patterns, Document reusable workflow patterns, Build lightweight operational playbooks, Document lightweight operational playbooks, Work with GenAI platform teams, Work with internal tooling teams, Accelerate delivery of FE AI initiatives, Coach FE engineers, Enable FE engineers, Track adoption metrics, Report adoption metrics, Track operational KPIs, Report operational KPIs, Identify opportunities to eliminate effort, Share reusable capabilities, Support development of FE-led initiatives, Develop waveform analytics, Develop reporting automation, Develop engineering tooling, Develop operational dashboards", "teamCollaboration" : "Regional FE teams; GenAI platform teams; Internal tooling teams; FE AI integration community", "domainKnowledge" : "AWS infrastructure; Critical infrastructures; Data center environments; Waveform analytics", "domainList" : [ "aws-infrastructure", "critical-infrastructures", "data-center-environments", "waveform-analytics" ], "domainSpecificKnowledge" : [ "AWS infrastructure", "Critical infrastructures", "Data center environments", "Waveform analytics" ], "toolProficiency" : [ "Kiro", "Python-based tooling" ], "communicationSkills" : "Technical communication; Executive communication", "documentationSkills" : "Document workflows; Document patterns; Document playbooks", "innovationCreativity" : "Bold ideas", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Operational analysis", "outcomesObjectives" : "Deliver measurable productivity outcomes; Transform workflows; Save engineering hours; Drive adoption within region", "qualificationsBasic" : "Bachelor's degree in engineering, 3+ years technical program management, 3+ years workflow automation, 3+ years operational analytics, Experience with GenAI platforms, Experience with agentic tooling, Experience with AI-enabled workflows", "qualificationsPreferred" : "Knowledge of mechanical systems, Knowledge of electrical systems, Knowledge of controls systems, Experience with written communication, Experience with verbal communication, Experience in large-scale infrastructure, Experience in operational engineering, Experience in data center environments, Experience building reusable tooling, Experience building operational playbooks", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Field Engineering teams across AWS are building AI-enabled workflows to accelerate investigations, automate repetitive tasks, improve reporting, and develop scalable engineering tooling. These efforts are happening organically — driven by motivated engineers across regions. The opportunity now is to systematically scale what's working and embed dedicated AI integration capability directly within each regional Field Engineering team. The Forward Deployed AI Integrator will be 100% focused on AI integration for their assigned region. This role embeds directly with regional FE teams to identify high-value workflow opportunities, drive hands-on adoption of AI-assisted tooling, and convert successful experiments into repeatable regional standards. The role partners with FE engineers, regional leads, and cross-functional GenAI platform teams to deliver measurable productivity outcomes within the region. This is a hands-on execution role — not advisory. Success is measured by workflows transformed, engineering hours saved, and adoption driven within the region. Key job responsibilities Embed directly with regional Field Engineering teams to identify, prioritize, and accelerate the highest-value AI workflow opportunities Drive adoption of AI-assisted workflows across investigations, reporting, operational analysis, and engineering tooling within the assigned region Partner with FE engineers to replace manually intensive workflows with scalable, reusable AI-enabled solutions Build and document reusable workflow patterns, templates, and lightweight operational playbooks for regional FE adoption Work with GenAI platform teams and internal tooling teams to accelerate delivery of FE AI initiatives within approved deployment environments Coach and enable FE engineers on practical, approved AI tools including Python-based tooling, Kiro, and internal AI platforms Track and report adoption metrics and operational KPIs to regional and senior FE leadership Identify opportunities to eliminate duplicated effort and share reusable capabilities across regional FE teams Contribute to the broader FE AI integration community by sharing learning, patterns, and outcomes across regions Support development of FE-led initiatives including waveform analytics, reporting automation, engineering tooling, and operational dashboards A day in the life You are embedded in the regional Field Engineering team — working alongside engineers during live investigations, building automation patterns, and coaching ICs on workflow adoption. You spend your time identifying what's slowing engineers down, prototyping AI-assisted solutions, and driving adoption of what works. You are a dedicated member of the regional team, accountable for making AI integration real and measurable. You bring technical depth, operational curiosity, and a bias for action. You move fast, learn from what you build, and share what works with the broader FE AI integration community. You are known in your region as the person who makes AI practical — and delivers it. About the team Field Engineering supports critical operational functions across global AWS infrastructure. The organization spans multiple engineering disciplines and regions — covering operational investigations, electrical and mechanical systems, tooling development, reporting, commissioning, troubleshooting, operational analytics, and process improvement. The team is actively building AI-enabled workflows to improve operational efficiency and accelerate engineering execution. This role is one of three initial regional AI integration positions, designed to prove the model and scale it across all FE regions. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - Bachelor's degree in engineering, computer science or equivalent - 3+ years of experience in technical program management, workflow automation, or operational analytics - Experience with GenAI platforms, agentic tooling, or AI-enabled operational workflows Preferred Qualifications: - Knowledge of mechanical, electrical, and controls systems for critical infrastructures - Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership - Experience within large-scale infrastructure, operational engineering, or data center environments - Experience building reusable engineering tooling or lightweight operational playbooks 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, VA, Herndon - 127,100.00 - 172,000.00 USD annually", "summaryDescription" : "Forward Deployed AI Integrator, Field Engineering at Amazon Data Services, Inc.. Skills: AI integration, Workflow automation, Field Engineering. Embed with regional Field Engineering teams. Identify AI workflow opportunities", "postedDate" : "2026-06-13T05:02:38.822", "createdAt" : "2026-06-13T05:02:38.822", "lastUpdated" : "2026-06-15T01:08:17.367", "ingestTimestamp" : "2026-06-13T05:02:38.822", "mongoId" : "6a25145474d8ee00a00bb3dc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10441472/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 172000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "AI integration", "Workflow automation", "Field Engineering", "Operational analytics", "Engineering tooling", "AWS infrastructure", "Critical infrastructures", "Data center environments", "Waveform analytics", "Kiro", "Python-based tooling" ], "skillCount" : 11, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 857.7606, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69ce5df99bc74574cb671a54", "title" : "AI Developer", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior AI Developer in Austin, TX, adjusted for government industry and full-time employment." }, "location" : "826631", "locations" : [ "826631", "
Austin:1411 Brazos (320TX-4000)
1411 Brazos St
Austin, 78701

" ], "timestamp" : "2026-06-15T22:56:59.191", "fingerprint" : "5f75133ba24aec7e4d1dcc96a85e398ff28a2d14c7101e16845098edb3ae68b8", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=33531", "externalId" : "33531", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, Python, REST APIs, Gen AI SDKs, AWS, Google, Microsoft, Oracle", "professionalSkills" : [ "Software development", "Programming projects", "Software solutions", "Data processing", "Systems analysis" ], "hardSkillsList" : [ "AI-driven applications", "AI-powered tools", "AI models" ], "softSkillsList" : [ "Curious" ], "hardSkills" : [ { "name" : "AI-driven applications", "level" : "intermediate" }, { "name" : "AI-powered tools", "level" : "intermediate" }, { "name" : "AI models", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" } ], "majorSkills" : "AI/ML, Java development, Software development", "majorSkillsList" : [ "AI/ML", "Java development", "Software development" ], "coreResponsibilities" : "Perform skilled software development work, Partner with AI Strategists to design AI tools, Develop in-house AI tools, Integrate in-house AI tools, Write clean code, Write maintainable code, Write efficient code in Java, Write efficient code in other languages, Develop REST APIs, Connect with REST APIs, Develop data pipelines, Connect with data pipelines, Develop enterprise systems, Connect with enterprise systems, Learn Gen AI SDKs, Utilize Gen AI SDKs, Learn cloud provider services, Utilize cloud provider services, Build solutions with Gen AI, Implement AI models, Fine-tune AI models, Ensure solutions adhere to agency policies, Ensure solutions adhere to data governance, Ensure solutions adhere to accessibility standards, Ensure solutions adhere to security standards, Contribute to software development lifecycle, Oversee programming projects, Analyze proposed applications, Design software solutions", "teamCollaboration" : "Partner with AI Strategists; Work as part of a team", "projectManagementSkills" : [ "Agile methodologies", "DevOps practices" ], "domainKnowledge" : "AI/ML space; Gen AI", "domainList" : [ "ai-ml-space", "gen-ai" ], "domainSpecificKnowledge" : [ "AI/ML space", "Gen AI" ], "toolProficiency" : [ "Gen AI SDKs" ], "communicationSkills" : "Communicate effectively", "continuousLearning" : "Training and development opportunities", "innovationCreativity" : "Innovative ideas", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "Must be a Texas resident, Requires sponsorship for employment visa", "outcomesObjectives" : "Build next generation of AI-powered tools", "qualificationsBasic" : "Four years of full-time experience in data processing, computer science, computer programming, systems analysis, and/or related field, Five years of full-time experience in data processing, computer science, computer programming, systems analysis, and/or related field, Three or more years of full-time experience in software development, Background in Java development, Proficiency and hands-on professional experience in Java, Proficiency and hands-on professional experience in Python development, Experience with building and consuming REST APIs, Experience working with data pipelines, Proficiency in Gen AI prompting, Understanding prompt management techniques, Knowledge of Agile methodologies, Knowledge of DevOps practices, Texas resident or willing to relocate to Texas", "qualificationsPreferred" : "Bachelor’s degree in computer science, engineering, or a related field, Desire to learn about AI/ML technologies, Apply AI/ML to real-world problems, Exposure to cloud AI platforms like AWS, Azure, GCP, or OCI, Experience working in or with public sector or government agencies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE: Texas Workforce Commission connects people with careers across the state. While we are based in Austin on the north lawn of the Texas State Capitol, we have offices statewide. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. This position is based at 1411 Brazos Street, Austin in the Information Technology Division. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. WHO YOU ARE: A curious and collaborative developer with a strong foundation in Java development. You are excited by the opportunity to learn new technologies and apply your skills to build the next generation of AI-powered tools for public service. You communicate effectively and enjoy working as part of a team to bring innovative ideas to life. WHAT YOU WILL DO: In this role, you will partner closely with our AI Strategists to design, build, and implement new AI-driven applications and services. The ideal candidate is a strong developer eager to expand their skills into the AI/ML space. The AI Developer (Programmer IV-V) perform advanced to highly advanced (senior-level) computer programming work. Work involves overseeing programming projects, analyzing proposed applications and designing software solutions. This work is performed under minimal supervision, with opportunities for considerable latitude for the use of initiative and independent judgment while learning and growing in the role. YOU WILL BE TRUSTED TO: - Performs skilled software development work. - Partner with two AI Strategists to design, develop, and integrate in-house AI tools and solutions. - Write clean, maintainable, and efficient code in Java and other languages as needed. - Develop and connect with REST APIs, data pipelines, and enterprise systems. - Learn and utilize Gen AI SDKs and services from cloud providers (e.g., AWS, Google, Microsoft, Oracle) to build solutions. - Implement and fine-tune AI models developed in collaboration with the strategy team. - Ensure all solutions adhere to agency policies, data governance, accessibility and security standards. - Contribute to the full software development lifecycle, from initial concept to deployment and maintenance. YOU ARE A GREAT FIT WITH: - Bachelor’s degree in computer science, engineering, or a related field. - Three or more years of full-time experience in software development, with a strong background in Java. - Proficiency and hands-on professional experience in Java and Python development. - Experience with building and consuming REST APIs and working with data pipelines. - A strong desire to learn about AI/ML technologies and apply them to real-world problems. - Proficiency in Gen AI prompting and understanding prompt management techniques for improved outcomes. - Excellent problem-solving skills and the ability to work collaboratively in a team environment. - Knowledge of Agile methodologies and DevOps practices. - Any exposure to cloud AI platforms like AWS, Azure, GCP, or OCI. - Experience working in or with public sector or government agencies. YOU QUALIFY WITH: -Programmer IV: Four years of full-time experience in data processing, computer science, computer programming, systems analysis, and/or related field. -Programmer V: Five years of full-time experience in data processing, computer science, computer programming, systems analysis, and/or related field. -Both Levels: Relevant academic credits may be applied toward experience qualifications for this position. YOU GAIN: - A Family Friendly Certified Workplace - An opportunity to help shape the future of AI in public service - Work on impactful projects that improve services for millions of Texans - Competitive starting salary: $7,000.00 - $9,500.00/month - Defined Retirement Benefit Plan - Optional 401(k) and 457 accounts - Medical Insurance - Paid time off, including time for vacation, sick and family care leave - Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_InformationTechnology.pdf. HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those currently on student or postgraduate visas. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "AI Developer at Texas Workforce Commission. Skills: AI/ML, Java development, Software development. Perform skilled software development work. Partner with AI Strategists to design AI tools", "createdAt" : "2026-06-14T19:53:51.923", "lastUpdated" : "2026-06-15T22:56:59.191", "ingestTimestamp" : "2026-06-14T19:53:51.923", "mongoId" : "69ce5df99bc74574cb671a54", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "AI-driven applications", "AI-powered tools", "AI models", "Curious", "AI/ML", "Java development", "Software development", "Programming projects", "Software solutions", "Data processing", "Systems analysis", "Agile methodologies", "DevOps practices", "AI/ML space", "Gen AI", "Gen AI SDKs" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 841.11005, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c68da74d8ee00a0904fd5", "title" : "Senior AI Specialist", "company" : "Doctolib", "industry" : "Strategy", "location" : "Berlin HQ", "locations" : [ "Berlin HQ" ], "timestamp" : "2026-06-15T07:00:10.436", "fingerprint" : "572ec927a84911b1fecd198316c3d9116ad89a2708922db324da0330e30cad07", "source" : "ashby", "applyUrl" : "https://jobs.ashbyhq.com/doctolib/e56d4dd4-57a9-4003-bd76-d8f90bacfc33/application", "externalId" : "e56d4dd4-57a9-4003-bd76-d8f90bacfc33", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid" } ], "locationText" : "Berlin, Germany", "employmentType" : "CONTRACT", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, JavaScript", "professionalSkills" : [ "Experience in a SaaS or Tech Scale-up environment is ideal. Experience working within large sales organizations is also beneficial." ], "hardSkillsList" : [ "AI Agent Development", "Workflow-Automation", "CRM-KI-Integration", "Prompt Engineering", "API", "Webhooks" ], "softSkillsList" : [ "Analytisches Denken, Kommunikationsstärke, Eigenständig" ], "hardSkills" : [ { "name" : "AI Agent Development", "level" : "intermediate" }, { "name" : "Workflow-Automation", "level" : "intermediate" }, { "name" : "CRM-KI-Integration", "level" : "intermediate" }, { "name" : "Prompt Engineering", "level" : "intermediate" }, { "name" : "API", "level" : "intermediate" }, { "name" : "Webhooks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytisches Denken, Kommunikationsstärke, Eigenständig" } ], "majorSkills" : "Salesforce", "majorSkillsList" : [ "Salesforce" ], "coreResponsibilities" : "The Senior AI Specialist will be responsible for the technical implementation of Doctolib's AI-driven sales strategy, acting as a liaison between Sales Excellence, IT, and Product. This involves developing and maintaining AI agents on modern platforms, automating sales workflows, and integrating CRM systems with AI platforms to enhance sales team productivity. The role also includes prompt engineering, quality assurance, and establishing metrics for AI tool adoption and performance.", "teamCollaboration" : "The role serves as a central interface between Sales, IT, and AI tooling, translating business requirements into technical solutions and bringing together stakeholders from Sales Leadership, Sales Excellence, and Product.", "toolProficiency" : [ "Dust, Claude, ChatGPT, LangChain, Make, n8n, Zapier, Tableau, Metabase" ], "communicationSkills" : "Executive Presentations; Technical Writing", "problemSolvingSkills" : "Root Cause Analysis", "specialRequirements" : "The company is committed to diversity and inclusion, encouraging applications from all individuals regardless of gender, religion, age, sexual orientation, ethnic origin, or disability. Candidates are invited to apply even if they don't meet every requirement. Applicants can omit personal details like photos and age to ensure equal opportunity. Please inform the company of any accommodations needed for the application process.", "outcomesObjectives" : "The primary objective is to make sales teams noticeably more productive through AI, thereby contributing to Doctolib's mission of improving healthcare for everyone. This includes identifying repetitive tasks for automation, ensuring AI agents access reliable data, and establishing metrics for usage and quality to drive continuous development.", "qualificationsBasic" : "Requires several years of professional experience in a technical role such as AI Engineering, Sales Operations, or RevOps. Must have practical experience in building and operating AI agents or AI-powered workflows, from initial design to production use. Strong Salesforce knowledge, including understanding its data model and integrating CRM data into AI systems via API, Flows, Reports, and Data Management, is essential. Technical understanding of scripts, APIs, webhooks, and automation tools like Make, n8n, or Zapier is required. Must possess analytical thinking and communication skills, with the ability to work independently and explain technical concepts to non-technical stakeholders. Fluency in German and English (C1 level) is mandatory.", "qualificationsPreferred" : "Knowledge of Python, JavaScript, or other scripting languages is a plus. Experience with BI tools like Tableau or Metabase is also interesting.", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Doctolib sucht Dich ab sofort als Senior Sales AI Specialist (x/f/m) für unseren Standort in Berlin. Doctolib befindet sich in einer dynamischen Wachstumsphase. Dieses Wachstum weiter zu beschleunigen, ist die Mission unseres Sales Operations Teams. In dieser Rolle bist Du die technische Umsetzungskraft hinter unserer KI-gestützten Sales-Strategie. Als zentrale Schnittstelle zwischen Sales Excellence, IT und Produkt sorgst Du dafür, dass unsere Vertriebsteams durch KI spürbar produktiver werden. So trägst Du zu unserer Mission bei, die Gesundheitsversorgung für alle zu verbessern. Deine Aufgaben - KI Agent Development: Du konzipierst, entwickelst und betreust KI-Agenten auf modernen KI-Plattformen (z.B. Dust, Claude, ChatGPT), vom Prototyp bis zur kontinuierlichen Optimierung im produktiven Einsatz. - Workflow-Automatisierung: Du identifizierst repetitive Aufgaben im Sales-Alltag und automatisierst sie durch KI und Skripte, mit messbarem Impact auf die Vertriebsproduktivität. - CRM-KI-Integration: Du baust und pflegst die technische Verbindung zwischen CRM-Systemen und KI-Plattformen, automatisierst Datenflüsse und stellst sicher, dass Agents auf aktuelle und verlässliche Daten zugreifen können. - Prompt Engineering & Qualitätssicherung: Du entwickelst und iterierst Prompts systematisch – auf Basis von Nutzerfeedback, A/B-Tests und Qualitätsmetriken. Du erkennst Schwachstellen frühzeitig und bist der zentrale Ansprechpunkt für alle technischen KI-Themen. - Zentrale Schnittstelle: Du bist die Verbindung zwischen Sales, IT und KI-Tooling – übersetzt fachliche Anforderungen aus dem Vertriebsalltag in technische Lösungen und bringst die richtigen Stakeholder aus Sales Leadership, Sales Excellence und Product zusammen. - Adoption & Analytics: Du etablierst Metriken für Nutzung und Qualität unserer KI-Tools, machst Adoption sichtbar und leitest daraus Maßnahmen zur kontinuierlichen Weiterentwicklung ab. DEIN PROFIL Du bist der festen Überzeugung, dass Du genau das mitbringst, was es für die Position braucht? Dann ermutigen wir Dich, Dich zu bewerben. Selbst wenn Du nicht jede Anforderung erfüllst, bist Du vielleicht genau die/der richtige zukünftige Doctoliber:in für diese oder andere Stellen! UM TEIL UNSERES TEAMS ZU WERDEN, BRINGST DU FOLGENDES MIT: - Mehrjährige Berufserfahrung in einer technischen Rolle, z.B. AI Engineering, Sales Operations, oder RevOps, idealerweise in einem SaaS- oder Tech-Scale-up-Umfeld. - Praktische Erfahrung im Aufbau und Betrieb von KI-Agents oder KI-gestützten Workflows, vom ersten Entwurf bis zum produktiven Betrieb (z.B. mit Dust, ChatGPT, Claude, LangChain oder ähnlichen Tools). - Fundierte Salesforce-Kenntnisse: Du verstehst das Datenmodell und weißt, wie CRM-Daten sinnvoll in KI-Systeme integriert werden (API, Flows, Reports, Data Management). - Technisches Verständnis: Du kannst Skripte lesen und anpassen, verstehst wie APIs und Webhooks funktionieren und arbeitest mit Automatisierungs-Tools wie Make, n8n oder Zapier. - Analytisches Denken und Kommunikationsstärke: Du löst Probleme strukturiert, arbeitest eigenständig und kannst technische Sachverhalte für nicht-technische Stakeholder verständlich aufbereiten. - Fließende Deutsch- und Englischkenntnisse auf C1-Niveau. BESONDERS INTERESSANT SIND FÜR UNS AUSSERDEM: - Fundierte Kenntnisse in Python, JavaScript oder anderen Skriptsprachen - Erfahrung in der Arbeit mit oder innerhalb großer Sales-Organisationen - Kenntnisse in BI-Tools wie Tableau oder Metabase WAS WIR DIR BIETEN - Ein von Doctolib gesponsertes Deutschlandticket, wenn Du aus dem Büro oder im Hybridmodus arbeitest - Eine betriebliche Krankenversicherung mit tollen Zusatzleistungen - 28 Urlaubstage + 1 Tag zusätzlich für jedes volle Beschäftigungs-Kalenderjahr (max. 30 Tage) - Teilnahme an Doctolibs langfristigem Mitarbeiterbeteiligungsprogramm DoctoGrowth - Die Möglichkeit, bis zu 10 Tage im Jahr aus dem Ausland zu arbeiten - Eine betriebliche Altersvorsorge (bAV) mit einem Arbeitgeberzuschuss von 40 % (15 % während der Probezeit) - Das Doctolib Parent Care Programm, das einen Monat Elternzeit extra u.v.m. enthält - Kostenlose Mental Health- und Coaching-Sessions über einen externen Partner - Zusätzlich zu gesunden Snacks und einem regelmäßigen Frühstücksbuffet, bieten wir Essensgutscheine - Ein gefördertes Sportangebot mit unserem Partner Urban Sports Club - Für pflegende Betreuungspersonen und Beschäftigte mit Behinderungen gibt es ein Angebot, das flexiblere Arbeitszeiten, zusätzliche Freistellung aus medizinischen Gründen und psychologische Unterstützung beinhaltet DER INTERVIEWPROZESS - Interview mit Talent - Hiring Manager Interview - Case Study vor Ort - Finales Interview mit VP - Referenzprüfung - Offer JOB DETAILS - Festanstellung - Vollzeit - Arbeitsort: Berlin - Startdatum: Juli - Hybrid (2 Tage Homeoffice / Woche) Wir verfolgen die Vision, die Gesundheit aller zu verbessern. Dies spiegelt sich auch im Recruiting wider. Wir evaluieren Bewerbungen ausschließlich auf der Grundlage von Qualifikation und Motivation. Diskriminierung wird bei uns nicht toleriert. Je diverser unser Team und die Ideen sind, desto mehr wird unser Produkt die Gesundheit unserer Nutzer:innen verbessern können. Deshalb laden wir Dich ein, Dich bei uns zu bewerben, unabhängig von Geschlecht, Religion, Alter, sexueller Orientierung, ethnischer Herkunft oder Behinderung. Um Chancengleichheit zu gewährleisten, kannst Du in deiner Bewerbung auf Angaben wie Fotos, Alter, etc. verzichten. Lass uns bitte wissen, welche Vorkehrungen wir treffen können, um Dich bestmöglich zu unterstützen. Wir freuen uns, mit Dir das Gesundheitswesen zu digitalisieren! Alle bereitgestellten Informationen werden von Doctolib für das Bewerbungsmanagement verarbeitet. Für Details zur Datenverarbeitung klicke bitte hier https://doctolib.legal/B2C-Privacy-Policy-Career-DE. Bei Fragen oder wenn Du Deine Rechte wahrnehmen möchtest, wende Dich bitte an hr.dataprivacy(at)doctolib.com. ", "summaryDescription" : "Senior AI Specialist at Doctolib. Skills: Salesforce. The Senior AI Specialist will be responsible for the technical implementation of Doctolib's AI-driven sales strategy, acting as a liaison between Sales Excellence, IT, and Product. This involves developing and maintaining AI agents on modern platforms, automating sales workflows, and integrating CRM systems with AI platforms to enhance sales team productivity. The role also includes prompt engineering, quality assurance, and establishing metr", "createdAt" : "2026-06-14T20:19:31.052", "lastUpdated" : "2026-06-15T07:00:10.436", "ingestTimestamp" : "2026-06-14T20:19:31.052", "mongoId" : "6a2c68da74d8ee00a0904fd5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "AI Agent Development", "Workflow-Automation", "CRM-KI-Integration", "Prompt Engineering", "API", "Webhooks", "Analytisches Denken, Kommunikationsstärke, Eigenständig", "Salesforce", "Experience in a SaaS or Tech Scale-up environment is ideal. Experience working within large sales organizations is also beneficial.", "Dust, Claude, ChatGPT, LangChain, Make, n8n, Zapier, Tableau, Metabase" ], "skillCount" : 10, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 840.39246, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cf90174d8ee00a0a98c27", "title" : "Full-Stack AI Engineer/Workflow Automation Lead", "company" : "GreenLight. ai", "industry" : "Technical", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the Senior Full-Stack AI Engineer/Workflow Automation Lead role in the Technology industry, with adjustments for lead experience and a remote work mode, using 2024-2025 market data for India." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-15T08:29:43.119", "fingerprint" : "82c57c5ec8ecfc1a12224d18d9b36769c1a1e20efe8cd85d01f14ab58ef114ab", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/greenlight-workforce-solutions/340a15c0-3a4a-4d1f-b793-b05ceb5f9eac/application", "externalId" : "340a15c0-3a4a-4d1f-b793-b05ceb5f9eac", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, Node.js, TypeScript, API integrations, Webhooks, Workflow orchestration, Internal tooling, RAG, Vector databases, Embeddings, Knowledge retrieval systems, Cloud infrastructure, Deployment, Monitoring, Production reliability", "professionalSkills" : [ "System design", "Workflow automation", "Product development", "Operational leverage" ], "hardSkillsList" : [ "Backend development", "Full-stack development" ], "hardSkills" : [ { "name" : "Backend development", "level" : "intermediate" }, { "name" : "Full-stack development", "level" : "intermediate" } ], "majorSkills" : "AI-powered products, Workflow systems, Product integrations", "majorSkillsList" : [ "AI-powered products", "Workflow systems", "Product integrations" ], "coreResponsibilities" : "Design AI-powered workflows, Build AI-powered workflows, Deploy AI-powered workflows, Build internal tools, Build assistants, Build platform capabilities, Improve scalability, Identify opportunities, Build solutions quickly, Deploy systems, Create operational leverage, Automate operational workflows, Improve decision-making, Scale global workforce operations, Integrate AI into onboarding, Integrate AI into operational tooling, Integrate AI into support systems, Integrate AI into knowledge systems, Integrate AI into retrieval systems, Integrate AI into decision workflows, Integrate AI into client experiences, Integrate AI into worker experiences, Build AI-powered workflow automation, Build intelligent onboarding systems, Build intelligent support systems, Build internal AI assistants, Build AI-driven client support, Build AI-driven worker support, Build knowledge retrieval tooling, Build agentic workflows, Build multi-step reasoning systems, Integrate AI across operations, Integrate AI across customer workflows, Ship AI-powered tools, Ship workflow systems, Ship product integrations", "teamCollaboration" : "Work with leadership; Work with product teams; Work with operations teams; Work with engineering teams; Cross-functional teams", "domainKnowledge" : "Global workforce infrastructure; Compliance operations; AI-native systems; Workforce solutions; Talent marketplaces; EOR; AOR; Freelancer management; Onboarding; Payments; Compliance operations; HR workflows; Payroll workflows; Support workflows; Payments workflows", "domainList" : [ "global-workforce-infrastructure", "compliance-operations", "ai-native-systems", "workforce-solutions", "talent-marketplaces", "eor", "aor", "freelancer-management", "onboarding", "payments", "hr-workflows", "payroll-workflows", "support-workflows", "payments-workflows" ], "domainSpecificKnowledge" : [ "Global workforce infrastructure", "Compliance operations", "AI-native systems", "Workforce solutions", "Talent marketplaces", "EOR", "AOR", "Freelancer management", "Onboarding", "Payments", "Compliance operations", "HR workflows", "Payroll workflows", "Support workflows", "Payments workflows" ], "toolProficiency" : [ "LangChain", "LangGraph", "N8n", "Retool", "Zapier", "Make" ], "innovationCreativity" : "Build practical AI systems; Move from idea to production; Build systems quickly", "problemSolvingSkills" : "Make pragmatic technical tradeoffs; Translate messy business problems", "outcomesObjectives" : "Transform GreenLight into AI-native business; Deliver measurable operational leverage; Build systems improving client experiences; Build systems improving worker experiences; Reduce operational overhead; Influence AI strategy; Influence product strategy", "qualificationsBasic" : "5+ years software engineering, Shipping production software, Building AI-powered tools, Working knowledge OpenAI APIs, Working knowledge Anthropic APIs, Experience with APIs, Experience with system integrations, Experience with backend workflows, Ability to work independently, Ability to move quickly, Ability to make pragmatic tradeoffs", "qualificationsPreferred" : "Background in AI-native companies, Background in venture-backed startups, Background in high-growth technology businesses, Product instincts, Translate business problems into software, Comfortable working with founders, Comfortable working with product leaders, Comfortable working with operations teams, Comfortable working with executives, Familiarity with workforce workflows, Familiarity with HR workflows, Familiarity with payroll workflows, Familiarity with compliance workflows, Familiarity with onboarding workflows, Familiarity with support workflows, Familiarity with payments workflows, Entrepreneurial mindset, High ownership, Speed, Bias for action", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Location: Remote Type: Contract or Full-Time Company: GreenLight.ai http://GreenLight.ai ABOUT GREENLIGHT.AI http://GreenLight.ai GreenLight operates at the intersection of global workforce infrastructure, compliance, operations, and AI. We provide workforce solutions for businesses and talent marketplaces, including EOR, AOR, freelancer management, onboarding, payments, and compliance operations across multiple countries. Our clients include some of the most innovative tech companies in the world and we are growing rapidly. We are building AI-native systems to automate complex operational workflows, improve decision-making, and scale global workforce operations without scaling headcount. This role is for someone who wants to build practical AI systems that solve messy real-world problems - not research prototypes. THE ROLE We are looking for a hands-on Full-Stack AI Engineer who has experience building and shipping AI-powered products, tools, and operational systems in production environments. This is fundamentally a software engineering role focused on designing, building, and deploying AI-powered workflows, internal tools, assistants, and platform capabilities that improve scalability across GreenLight's operations and products. You will work directly with leadership, product, operations, and engineering teams to identify opportunities, build solutions quickly, and deploy systems that create meaningful operational leverage. We value builders who can move from idea to production with minimal oversight and who thrive in fast-moving startup environments. WHY THIS ROLE MATTERS RIGHT NOW GreenLight is actively evolving into a more AI-native platform and operational model. Over the next 6–12 months, AI will become deeply integrated into: - workflow automation - onboarding and operational tooling - support systems - internal knowledge and retrieval systems - operational decision workflows - client and worker experiences This role will have direct influence over that direction from the beginning. We are looking for a hands-on Full-Stack AI Engineer who has experience building and shipping AI-powered products, tools, and operational systems in production environments. This is fundamentally a software engineering role focused on designing, building, and deploying AI-powered workflows, internal tools, assistants, and platform capabilities that improve scalability across GreenLight's operations and products. You will work directly with leadership, product, operations, and engineering teams to identify opportunities, build solutions quickly, and deploy systems that create meaningful operational leverage. We value builders who can move from idea to production with minimal oversight and who thrive in fast-moving startup environments. WHAT YOU’LL WORK ON Examples of projects include: - AI-powered workflow automation - Intelligent onboarding and support systems - Internal AI assistants for operations and compliance teams - AI-driven client and worker support experiences - Knowledge retrieval and operational tooling - Agentic workflows and multi-step reasoning systems - AI integrations across platform operations and customer workflows WHAT WE’RE LOOKING FOR We are looking for a hands-on software engineer who can build and ship AI-powered tools, workflow systems, and product integrations in production. REQUIRED - 5+ years of software engineering experience, ideally full-stack or backend - Experience shipping production software used by real customers or internal teams - Experience building AI-powered products, internal tools, agents, copilots, or workflow systems - Strong working knowledge of OpenAI and/or Anthropic APIs - Strong experience with APIs, system integrations, and backend workflows - Ability to work independently, move quickly, and make pragmatic technical tradeoffs TECHNICAL SKILLS - Python, Node.js, TypeScript, or similar modern development languages - API integrations, webhooks, workflow orchestration, and internal tooling - RAG, vector databases, embeddings, or knowledge retrieval systems - Cloud infrastructure, deployment, monitoring, and production reliability - Familiarity with tools such as LangChain, LangGraph, n8n, Retool, Zapier, or Make STRONG PLUS - Background in AI-native companies, venture-backed startups, or high-growth technology businesses - Track record shipping AI-powered products, agents, internal tools, or workflow systems into production - Strong product instincts and ability to translate messy business problems into working software - Comfortable working directly with founders, product leaders, operations teams, and executives - Familiarity with workforce, HR, payroll, compliance, onboarding, support, or payments workflows - Entrepreneurial mindset with high ownership, speed, and bias toward practical outcomes WHAT SUCCESS LOOKS LIKE Within the first 60-90 days, you will have: - Shipped production AI workflows used internally by the team - Built AI-powered tools that materially reduce manual work - Automated operational processes that currently require significant coordination - Delivered platform integrations that improve scalability and efficiency - Created internal AI assistants or workflow systems that improve responsiveness - Established a foundation for GreenLight's AI-powered operational infrastructure Within 12 months, you will have: - Helped transform GreenLight into a significantly more AI-native business - Delivered measurable operational leverage across multiple departments - Built systems that improve client and worker experiences - Reduced operational overhead through intelligent automation - Influenced the long-term AI and product strategy of the company HOW WE EVALUATE CANDIDATES We care far more about what you’ve built than formal credentials. We look for engineers who: - Ship production software - Build practical systems - Move quickly - Make smart tradeoffs - Can turn ideas into working products rapidly - Think like builders and operators - Have a track record of turning ideas into working products Please include: - GitHub profile - LinkedIn profile - Links to products, projects, or systems you've built - Examples of AI products, agents, workflows, or internal tools you've shipped - Brief explanation of your contributions TECH STACK (FLEXIBLE) - OpenAI / Anthropic APIs - n8n / Zapier / Make / LangChain - Python / Node.js - APIs and systems integrations - Vector databases / retrieval systems - Cloud infrastructure and API integrations We care more about engineering ability and execution than experience with any specific tool. THIS ROLE IS PROBABLY NOT A FIT IF YOU PREFER: - Large corporate environments - Heavy process and bureaucracy - Long planning cycles before shipping - Pure research environments - Narrowly scoped implementation work - Roles focused primarily on model training or ML research WHY THIS ROLE IS INTERESTING - High ownership and direct impact - Ability to shape core product direction - Direct access to leadership - Opportunity to build meaningful AI systems in a real operational environment - Small, fast-moving team with quick decision-making COMPENSATION Compensation is flexible based on experience, structure, and level of ownership. We care most about finding the right builder to help shape and execute this next phase of the company.", "summaryDescription" : "Full-Stack AI Engineer/Workflow Automation Lead at GreenLight. ai. Skills: AI-powered products, Workflow systems, Product integrations. Design AI-powered workflows. Build AI-powered workflows", "createdAt" : "2026-06-14T04:45:50.000", "lastUpdated" : "2026-06-15T08:29:43.119", "ingestTimestamp" : "2026-06-14T04:45:50.000", "mongoId" : "6a2cf90174d8ee00a0a98c27", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Backend development", "Full-stack development", "AI-powered products", "Workflow systems", "Product integrations", "System design", "Workflow automation", "Product development", "Operational leverage", "Global workforce infrastructure", "Compliance operations", "AI-native systems", "Workforce solutions", "Talent marketplaces", "EOR", "AOR", "Freelancer management", "Onboarding", "Payments", "HR workflows", "Payroll workflows", "Support workflows", "Payments workflows", "LangChain", "LangGraph", "N8n", "Retool", "Zapier", "Make" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 838.4525, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cc2ae74d8ee00a0a072bd", "title" : "UX/UI Designer (AI Workflow & Product Experience)", "company" : "Clinically AI", "industry" : "Engineering | Development", "salary" : { "min" : 95000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Diego, CA", "locations" : [ "San Diego, CA" ], "timestamp" : "2026-06-16T02:46:55.101", "fingerprint" : "4c5cd932411d0332774f1635d6e1adb0865d48735d84f3ea471f7b76b5cfdc85", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/clinicallyai/bf9e329a-8eb3-4ef4-80a3-9eba8d3a26dd/application", "externalId" : "bf9e329a-8eb3-4ef4-80a3-9eba8d3a26dd", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "32.7174202,-117.1627720" } ], "locationText" : "San Diego, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Figma, Sketch, Adobe Creative Suite, Prototyping tools", "professionalSkills" : [ "User research", "Usability testing", "Information architecture", "Interaction design", "Visual design", "Design systems" ], "hardSkillsList" : [ "UX research", "UI design", "Prototyping", "Wireframing", "User flows" ], "hardSkills" : [ { "name" : "UX research", "level" : "intermediate" }, { "name" : "UI design", "level" : "intermediate" }, { "name" : "Prototyping", "level" : "intermediate" }, { "name" : "Wireframing", "level" : "intermediate" }, { "name" : "User flows", "level" : "intermediate" } ], "majorSkills" : "UX/UI Design, Product Experience, AI Workflow", "majorSkillsList" : [ "UX/UI Design", "Product Experience", "AI Workflow" ], "coreResponsibilities" : "Design intuitive and engaging user experiences, Create wireframes, mockups, and prototypes, Conduct user research and usability testing, Collaborate with product managers and engineers, Develop and maintain design systems, Translate complex AI workflows into user-friendly interfaces, Iterate on designs based on feedback, Ensure consistency across product interfaces", "teamCollaboration" : "Product managers; Engineers; Cross-functional teams", "domainKnowledge" : "AI workflows; Product experience", "domainList" : [ "ai-workflows", "product-experience" ], "domainSpecificKnowledge" : [ "AI workflows", "Product experience" ], "toolProficiency" : [ "Figma", "Sketch", "Adobe Creative Suite", "Prototyping tools" ], "documentationSkills" : "Design documentation", "problemSolvingSkills" : "User problem solving", "qualificationsBasic" : "4+ years of UX/UI design experience, Portfolio showcasing UX/UI design work", "qualificationsPreferred" : "Experience in AI/ML product development, Familiarity with generative AI tools, Experience with design systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Clinically AI is a healthcare AI company transforming how clinicians, administrators, compliance teams, and healthcare organizations manage documentation, chart auditing, and operational workflows through artificial intelligence. We are seeking a UX/UI Designer (AI Workflow & Product Experience) to shape the next generation of AI-native healthcare workflows and operational user experiences. This is not a traditional visual design role focused only on polished interfaces or static design systems. This role sits at the intersection of workflow design, human-computer interaction, AI usability, operational systems thinking, and healthcare workflow optimization. You will help design experiences that allow clinicians, administrators, compliance teams, and operational users to confidently integrate AI into their daily work. This includes reducing cognitive load, improving workflow clarity, designing AI-assisted interactions, and helping users trust and operationalize AI systems inside real-world healthcare environments. The ideal candidate thinks deeply about workflows, systems, usability, behavior, and operational reality, not just screens. You should be excited by designing AI-native experiences where prompting, structured outputs, human review, workflow orchestration, and operational trust all matter. This role will work closely with product, engineering, implementation, and leadership teams in a highly collaborative and fast-moving startup environment. KEY ATTRIBUTES TO SUCCEED: - Workflow-Centered Design Thinking You think beyond interfaces and care deeply about how users actually move through operational workflows. - AI-Native UX Thinking You understand how AI changes interaction patterns, usability expectations, trust models, and workflow behavior. - Systems Thinking You understand how workflows, users, data structures, AI outputs, and operational processes connect together. - User Empathy You care deeply about reducing friction and improving usability for real users operating under pressure. - Collaboration & Communication You communicate effectively across product, engineering, implementation, and leadership teams. - Startup Adaptability You are comfortable iterating quickly, working through ambiguity, and refining workflows in real time. REQUIRED: - 4+ years of experience in UX, UI, product design, interaction design, or workflow design roles - Experience designing workflow-heavy or operational software products across web, mobile, or enterprise environments - Strong portfolio demonstrating high-quality shipped UI work and strong systems thinking - Experience collaborating closely with product and engineering teams in fast-moving environments - Familiarity with AI-assisted workflows, conversational UX, structured outputs, or AI-native interfaces PREFERRED BUT NOT REQUIRED (Nice to Have): - Healthcare technology or clinical workflow experience - Experience designing enterprise SaaS or operational platforms - UX engineering or frontend implementation experience (HTML/CSS, design tokens, etc.) - Familiarity with clinician-facing workflows, compliance systems, or administrative healthcare operations - Motion design or micro-interaction experience (SVG, Lottie, Rive, etc.) This is a full-time hybrid role based in San Diego, CA, with onsite work required Monday through Thursday. We offer competitive compensation, healthcare coverage, and flexible time off. The base salary range for this role is $95,000–$150,000 annually, depending on experience, product design expertise, UI craft quality, systems thinking capability, demonstrated performance, and overall scope alignment. In certain cases, we may consider candidates outside of this range whose background in AI-native product design, enterprise SaaS design systems, or complex workflow-driven interface design strongly aligns with the needs of the role. This role may also include additional long-term incentive opportunities aligned with company growth and impact. The interview process includes interviews focused on workflow design thinking, systems thinking, AI usability, interaction design craft, and collaboration approach. Final candidates may complete a design exercise focused on improving or extending an AI-assisted healthcare workflow experience. Due to high interest, we will only respond to candidates who meet the basic qualifications. Clinically AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or genetics.", "summaryDescription" : "UX/UI Designer (AI Workflow & Product Experience) at Clinically AI. Skills: UX/UI Design, Product Experience, AI Workflow. Design intuitive and engaging user experiences. Create wireframes, mockups, and prototypes", "createdAt" : "2026-06-14T19:30:12.548", "lastUpdated" : "2026-06-16T02:46:55.101", "ingestTimestamp" : "2026-06-14T19:30:12.548", "mongoId" : "6a2cc2ae74d8ee00a0a072bd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 150000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "UX research", "UI design", "Prototyping", "Wireframing", "User flows", "UX/UI Design", "Product Experience", "AI Workflow", "User research", "Usability testing", "Information architecture", "Interaction design", "Visual design", "Design systems", "AI workflows", "Product experience", "Figma", "Sketch", "Adobe Creative Suite", "Prototyping tools" ], "skillCount" : 20, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 830.0655, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca17574d8ee00a09a5933", "title" : "AI Implementation Specialist", "industry" : "Tech & Finance", "salary" : { "min" : 2500.0, "max" : 3000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Egypt", "locations" : [ "Egypt", "Ethiopia", "South Africa", "Argentina", "Nigeria" ], "timestamp" : "2026-06-15T13:09:23.238", "fingerprint" : "74e6d224abd52b133018cd3ccf8cf7627d36059fe376a6d4b715f83bc90731b3", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Scale%20Army%20Careers/0fedff06-fa37-4d93-b165-81b0e2a30d92/application", "externalId" : "0fedff06-fa37-4d93-b165-81b0e2a30d92", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Egypt", "continent" : "af", "workMode" : "remote" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "continent" : "sa", "workMode" : "remote" }, { "continent" : "af", "workMode" : "remote" }, { "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Egypt; United States", "employmentType" : "CONTRACT", "technicalSkills" : "AI agents, AI technologies, AI-powered solutions, AI systems", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Process optimization", "Workflow streamlining", "System design", "Data management", "Data security", "Data privacy", "Data accuracy", "Data integrity", "Data reliability", "Business operations", "Workflow automation", "Automation systems", "Financial workflows", "Order processing", "Operational software", "Business platforms", "Business systems", "Process analysis", "Coding skills", "Technical integration", "Scalable systems", "Problem-solving", "Analytical thinking" ], "hardSkillsList" : [ "AI implementation", "AI automation", "Workflow optimization", "Data organization", "Data processing", "Data storage", "Data compliance", "Process improvement", "Automation capabilities", "System monitoring", "Performance monitoring" ], "hardSkills" : [ { "name" : "AI implementation", "level" : "intermediate" }, { "name" : "AI automation", "level" : "intermediate" }, { "name" : "Workflow optimization", "level" : "intermediate" }, { "name" : "Data organization", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data storage", "level" : "intermediate" }, { "name" : "Data compliance", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Automation capabilities", "level" : "intermediate" }, { "name" : "System monitoring", "level" : "intermediate" }, { "name" : "Performance monitoring", "level" : "intermediate" } ], "majorSkills" : "AI implementation, Workflow automation, Process optimization", "majorSkillsList" : [ "AI implementation", "Workflow automation", "Process optimization" ], "teamCollaboration" : "Finance teams; Operations teams; IT teams; Leadership teams", "domainKnowledge" : "Data protection standards; Privacy standards", "domainList" : [ "data-protection-standards", "privacy-standards" ], "domainSpecificKnowledge" : [ "Data protection standards", "Privacy standards" ], "toolProficiency" : [ "ChatGPT", "Claude", "QuickBooks" ], "communicationSkills" : "Communicate progress; Communicate results; Communicate recommendations", "documentationSkills" : "Provide documentation", "continuousLearning" : "Stay informed on emerging AI technologies; Stay informed on automation capabilities", "problemSolvingSkills" : "Problem-solving; Analytical thinking; Identify bottlenecks; Identify inefficiencies; Identify automation opportunities", "specialRequirements" : "Work during U.S. business hours, Align with client time zone", "qualificationsBasic" : "3+ years implementing AI solutions, Expert ChatGPT, Expert Claude, Expert AI workflows, Expert AI agent development, Experience developing AI agents, Experience deploying AI agents, Experience automating accounting workflows, Experience with order processing systems, Experience with operational software, Experience integrating AI solutions, Experience providing training, Experience providing documentation, Experience implementation support", "qualificationsPreferred" : "Experience with QuickBooks, Experience with accounting processes", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone. Our client is a growing organization focused on improving operational efficiency through intelligent automation, streamlined workflows, and modern technology solutions. They work across finance, operations, and business functions to identify opportunities for process improvement and scalable growth. As the organization continues investing in AI-driven systems, they are seeking an experienced AI Implementation Specialist to audit existing workflows, implement automation solutions, and help transform manual processes into efficient, scalable systems that support long-term business success. Role Overview The AI Implementation Specialist will be responsible for auditing business processes, streamlining workflows, and implementing AI-driven automation systems across multiple departments. The AI Implementation Specialist will work closely with finance, operations, and technology stakeholders to evaluate existing software functionality, identify automation opportunities, and deploy AI-powered solutions that improve efficiency, accuracy, and scalability. This role requires a combination of technical expertise, process optimization experience, and the ability to design secure, reliable systems that support critical business operations. Location Fully Remote | 9 AM – 5 PM EST Key Responsibilities Business Process Audit & Optimization - Audit current workflows for order processing, financial management, and operational activities. - Analyze existing software functionality to identify bottlenecks, redundancies, and automation opportunities. - Evaluate accounting processes and recommend AI-enhanced solutions to improve efficiency and accuracy. - Identify opportunities to streamline workflows and improve operational scalability. AI Automation & Implementation - Build and deploy AI agents using ChatGPT, Claude, and related AI technologies. - Automate accounting workflows within QuickBooks, including invoice scanning, filing, and processing activities. - Create secure automated systems for order processing, data retrieval, organization, and storage. - Replicate, redesign, or enhance existing systems to improve operational efficiency and scalability. - Implement AI-powered solutions that automate repetitive and business-critical tasks. Data Management & Security - Organize, process, and securely store financial and operational data. - Ensure compliance with data protection and privacy standards. - Maintain high levels of data accuracy, integrity, and reliability across automated workflows. - Support secure access and management of business-critical information. Cross-Functional Collaboration - Partner closely with finance, operations, and IT teams to implement automation solutions. - Provide training and documentation to support adoption of AI-driven workflows. - Communicate implementation progress, results, and recommendations to leadership. - Support teams in effectively utilizing newly deployed AI systems and processes. Continuous Improvement - Stay informed on emerging AI technologies and automation capabilities. - Recommend tools, systems, and process improvements that enhance operational efficiency. - Monitor AI systems to ensure accuracy, reliability, and ongoing performance. - Continuously evaluate automation opportunities across business functions. Qualifications Experience - 3+ years of experience implementing AI solutions within business operations. - Expert-level experience working with ChatGPT, Claude, and AI-powered workflow automation. - Experience developing and deploying AI agents and automation systems. - Experience automating accounting and financial workflows. - Experience working with QuickBooks and accounting-related processes is strongly preferred. - Experience with order processing systems and operational software. - Experience integrating AI solutions with existing business platforms and systems. - Experience providing training, documentation, and implementation support for business users. Qualifications Skills - Expert knowledge of ChatGPT, Claude, AI workflows, and AI agent development. - Strong process analysis and workflow optimization capabilities. - Strong coding and technical integration skills. - Ability to design scalable automation systems that improve operational efficiency. - Strong understanding of data accuracy, security, and privacy requirements. - Ability to identify bottlenecks, inefficiencies, and automation opportunities. - Strong problem-solving and analytical thinking skills. - Highly organized and detail-oriented approach to implementation and execution. - Proactive mindset with a focus on continuous improvement. - Ability to collaborate effectively across finance, operations, IT, and leadership teams. What Success Looks Like - AI-driven systems automate repetitive accounting and order processing tasks with minimal manual intervention. - Streamlined workflows reduce operational bottlenecks and improve efficiency. - Financial and operational data remains secure, organized, and accessible. - Teams effectively utilize AI-powered workflows with minimal support. - Documentation and training resources support scalable adoption of AI systems. - Automation solutions improve business accuracy, efficiency, and operational scalability. Opportunity This is an exciting opportunity to lead AI implementation initiatives across critical business functions and make a measurable impact on operational performance. The AI Implementation Specialist will work directly with leadership to design, deploy, and optimize systems that improve efficiency, accuracy, and scalability. This role offers significant ownership, visibility, and the opportunity to help shape the future of AI-driven operations within a growing organization. APPLICATION PROCESS: TO BE CONSIDERED FOR THIS ROLE THESE STEPS NEED TO BE FOLLOWED: - Fill in the application form - Record a video showcasing your skill sets", "summaryDescription" : "AI Implementation Specialist. Skills: AI implementation, Workflow automation, Process optimization", "createdAt" : "2026-06-14T04:39:56.735", "lastUpdated" : "2026-06-15T13:09:23.238", "ingestTimestamp" : "2026-06-14T04:39:56.735", "mongoId" : "6a2ca17574d8ee00a09a5933", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 2500, "salaryAnnualMax" : 3000, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "AI implementation", "AI automation", "Workflow optimization", "Data organization", "Data processing", "Data storage", "Data compliance", "Process improvement", "Automation capabilities", "System monitoring", "Performance monitoring", "Workflow automation", "Process optimization", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Workflow streamlining", "System design", "Data management", "Data security", "Data privacy", "Data accuracy", "Data integrity", "Data reliability", "Business operations", "Automation systems", "Financial workflows", "Order processing", "Operational software", "Business platforms", "Business systems", "Process analysis", "Coding skills", "Technical integration", "Scalable systems", "Problem-solving", "Analytical thinking", "Data protection standards", "Privacy standards", "ChatGPT", "Claude", "QuickBooks" ], "skillCount" : 46, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 830.023, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ed22474d8ee00a0ed1516", "title" : "Director of Workforce Development", "company" : "Clovis Community College", "industry" : "Education", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Director of Workforce Development in Clovis, California, adjusted for the education industry and director-level seniority." }, "location" : "Clovis Community College, Clovis, NM", "locations" : [ "Clovis Community College, Clovis, NM", "United States of America" ], "timestamp" : "2026-06-15T23:24:51.600", "fingerprint" : "e2eed7e9fd1117c560ebe1250abc074e53f2691f5d62a3de7e0b22e22a2f7252", "source" : "workday", "language" : "en", "applyUrl" : "https://chess.wd1.myworkdayjobs.com/CCC/job/Clovis-Community-College-Clovis-NM/Director-of-Workforce-Development_JR111298", "externalId" : "JR111298", "industryFunction" : { }, "locationPoint" : "34.4048,-103.20523", "structuredLocations" : [ { "city" : "Clovis", "state" : "New Mexico", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.4054720,-103.2050709" } ], "locationText" : "Clovis, New Mexico, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Director", "professionalSkills" : [ "Program management", "Budget management", "Curriculum development", "Community outreach", "Grant writing", "Employer partnerships" ], "majorSkills" : "Workforce development, Program management, Student support", "majorSkillsList" : [ "Workforce development", "Program management", "Student support" ], "coreResponsibilities" : "Develop and implement workforce development programs, Manage program budgets and resources, Oversee curriculum development and delivery, Provide student support and guidance, Build and maintain community partnerships, Engage in employer outreach and relationship management, Develop and manage grant proposals, Track and report on program outcomes", "teamCollaboration" : "Cross-functional teams; Community stakeholders; Employer partners", "projectManagementSkills" : [ "Program management" ], "domainKnowledge" : "Workforce development; Adult education; Community college operations", "domainList" : [ "workforce-development", "adult-education", "community-college-operations" ], "domainSpecificKnowledge" : [ "Workforce development", "Adult education", "Community college operations" ], "communicationSkills" : "Public speaking; Report writing", "documentationSkills" : "Curriculum documentation; Program reports", "problemSolvingSkills" : "Student challenges; Programmatic issues", "outcomesObjectives" : "Increase student enrollment; Improve student completion rates; Enhance graduate employment outcomes; Strengthen employer partnerships", "qualificationsBasic" : "Bachelor's degree required, 3-5 years of experience in workforce development, Experience with program management, Experience with budget management, Experience with curriculum development, Experience with student support services, Experience with community outreach", "qualificationsPreferred" : "Master's degree preferred, Experience with grant writing, Experience with workforce training programs, Experience with employer partnerships", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "_**Compensation:**_ **_Compensation Type:_** Salary _**Employment Type:**_ **_Grade:_** **_Department:_** Community Outreach, Operations Support _**Position Summary**_ Full-time positions at Clovis Community College are not remote positions and require a physical presence at the assigned location to fulfill duties and college-related responsibilities. The Director of Workforce Development is responsible for the administration, implementation, and oversight of the Workforce Innovation and Opportunity Act (WIOA) Adult and Dislocated Worker (A/DW) grant programs and related workforce initiatives in accordance with contracts established with the Eastern Area Workforce Development Board (EAWDB). The Director reports to the Executive Vice President of the College. The Director provides strategic leadership, operational oversight, staff supervision, fiscal management, compliance monitoring, partnership development, and program evaluation to ensure effective delivery of workforce services across the Eastern Area. The Director collaborates with internal college departments, workforce partners, employers, governmental agencies, and community organizations to strengthen workforce pathways and support participant success. **_Duties & Responsibilities_** **Program Administration and Compliance** * Implement, administer, and manage WIOA Adult and Dislocated Worker grant contracts issued by the EAWDB. * Ensure compliance with federal, state, EAWDB, and institutional regulations, policies, and performance measures. * Collaborate with EAWDB, Administrative Entity staff, One Stop partners, and related agencies in planning and implementing workforce service delivery. * Lead and participate in workforce policy development, program design, and strategic planning efforts within the regional workforce system. * Gather, analyze, and evaluate data to improve program effectiveness, service delivery, and participant outcomes. * Complete and submit quarterly, annual, and other required reports to funding agencies and stakeholders. * Monitor program performance and ensure achievement of established benchmarks and accountability measures. **Leadership and Staff Development** * Supervise workforce personnel and perform personnel-related functions including recruitment, onboarding, performance management, coaching, training, staff development, communication, and team building. * Oversee the development, coordination, and implementation of staff training related to WIOA regulations, eligibility determination, case documentation, supportive services, contracts, compliance procedures, and required systems. * Provide leadership, mentoring, and operational guidance to workforce staff to ensure consistency in program implementation and service delivery. * Review and approve program documentation, contracts, participant eligibility determinations, and enrollment processes as required. * Establish expectations and accountability measures for data quality and documentation standards. * Monitor program-level data integrity and address systemic issues impacting documentation and reporting. **Fiscal and Operational Oversight** * Develop, monitor, and manage budgets, procurement, contracts, and fiscal reporting related to workforce grants. * Oversee expenditures and ensure responsible stewardship of grant resources. * Coordinate operational activities necessary for effective program implementation and service delivery. * Ensure systems, procedures, and standards are in place to support accurate documentation, recordkeeping, and reporting practices. * Track budget status of workforce grants and funding streams. **Partnerships and Community Engagement** * Identify, develop, and maintain workforce development partnerships with employers, educational institutions, governmental agencies, community organizations, and workforce system partners. * Develop and maintain strong relationships with regional employers to support employment and training opportunities for participants. * Coordinate activities with One Stop staff members and partner agencies to align participant services and workforce initiatives. * Represent the College and workforce programs at meetings, events, and community engagement activities. **Participant and Workforce Services Support** * Ensure staff are effectively trained in participant eligibility, career planning, supportive services, work-based learning opportunities, and workforce system resources. * Serve as a resource for complex participant issues and support workforce staff in resolving barriers to participant success. * Coordinate workforce workshops and employment-related services, including work readiness, job search preparation, resume development, interviewing skills, and re-employment strategies. * Cross-train and maintain knowledge of related federal and workforce programs that may support eligible participants. **ESSENTIAL SKILLS:** * Excellent oral and written communication, interpersonal, organizational, and leadership skills. * Excellent computer and office technology skills. * Ability to establish productive relationships with staff, employers, governmental agencies, participants, and diverse populations. * Ability to function effectively in a fast-paced environment with competing priorities. **TRAVEL REQUIREMENTS:** Requires up to weekly daytime travel within the Eastern Region, as well as occasional overnight travel for training and/or conferences. **PHYSICAL REQUIREMENTS:** Requires frequent and continuous sitting/moving about, continuous use of fine motor skills, and pushing and pulling of up to 20 lbs. Positions may require prolonged monitor viewing. Equipment used includes standard office equipment and a variety of computer hardware and software. **SCHEDULE DETAILS:** Must be available to work 40 hrs. per week with normal work hours from 8:00 am to 5:00 pm. Occasional evening and weekend hours may be required. **ADDITIONAL DUTIES AND RESPONSIBILITIES** include but are not limited to: Perform other duties as assigned. _**Minimum Qualifications:**_ * Bachelor’s degree and five (5) years of related workforce development, program administration, grant management, education, public administration, human services, or related experience; or a Master’s degree and three (3) years of related experience. * Knowledge of policies, regulations, and compliance requirements pertaining to WIOA legislation and workforce development programs. * Experience supervising staff, managing programs, or administering grants. * Valid New Mexico driver’s license, as travel is required. * Must be able to work in person at the designated America’s Job Center within the Eastern New Mexico region **PREFERRED QUALIFICATIONS:** * Master’s degree in business administration, accounting, finance, public administration, or a related field. * Five (5) or more years of workforce development leadership or program management experience. * Experience managing federally funded grants, budgets, compliance, and performance reporting. _**EEO STATEMENT:**_ As an EEO employer, Clovis Community College will not discriminate in our employment practices based on an applicant’s race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, serious medical condition or status as a protected veteran or spousal affiliation. Clovis Community College hires only U.S. citizens and individuals lawfully authorized to work in the U.S.", "summaryDescription" : "Director of Workforce Development at Clovis Community College. Skills: Workforce development, Program management, Student support. Develop and implement workforce development programs. Manage program budgets and resources", "postedDate" : "2026-06-11T22:01:53.920", "createdAt" : "2026-06-14T22:01:53.905", "lastUpdated" : "2026-06-15T23:24:51.600", "ingestTimestamp" : "2026-06-14T22:01:53.905", "mongoId" : "6a2ed22474d8ee00a0ed1516", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://chess.wd1.myworkdayjobs.com/CCC/job/Clovis-Community-College-Clovis-NM/Director-of-Workforce-Development_JR111298", "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Workforce development", "Program management", "Student support", "Budget management", "Curriculum development", "Community outreach", "Grant writing", "Employer partnerships", "Adult education", "Community college operations" ], "skillCount" : 10, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "executive", "dataQualityScore" : 1.0, "_score" : 829.68243, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a660374d8ee00a062b7ef", "title" : "Principal - Southeast, AWS Workforce Development", "company" : "Amazon.com Services LLC", "industry" : "Public Policy, public relations and public policy", "salary" : { "min" : 164800.0, "max" : 222900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "USA", "locations" : [ "USA" ], "timestamp" : "2026-06-15T01:08:28.617", "fingerprint" : "308e45057879ae972c6e1cce59c750daa29ded64bccfa23fd087cf0b4e272c37", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10442512/apply", "externalId" : "30df5434-a5e5-4727-b566-546407b978b6", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Workforce development", "Economic development", "Public policy", "Program lifecycle management", "Strategic vision", "Talent needs alignment", "Partnership models", "Data analysis" ], "hardSkillsList" : [ "Instructional design", "Curriculum architecture", "Training program development" ], "softSkillsList" : [ "Public speaking" ], "hardSkills" : [ { "name" : "Instructional design", "level" : "intermediate" }, { "name" : "Curriculum architecture", "level" : "intermediate" }, { "name" : "Training program development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Public speaking" } ], "majorSkills" : "Workforce development, Program design, Stakeholder relations", "majorSkillsList" : [ "Workforce development", "Program design", "Stakeholder relations" ], "coreResponsibilities" : "Own workforce program lifecycle, Identify program gaps, Design program solutions, Pilot program execution, Scale program delivery, Deliver programs on time, Deliver programs within budget, Assess workforce development offerings, Identify competency mismatches, Build pipeline of new program concepts, Set strategic vision for workforce development, Translate vision into prioritized roadmap, Cultivate high-trust relationships with leaders, Secure policy support, Secure funding support, Secure institutional support, Represent workforce development mission, Champion internal team needs, Champion external partner needs, Evaluate program effectiveness, Make evidence-based decisions, Communicate outcomes to leadership, Communicate outcomes to stakeholders, Identify evolving opportunities, Lead entrepreneurial approach to developing solutions, Build consensus internally, Build consensus externally, Iterate through pilot launches, Foster adoption of solutions, Drive implementation to scale, Analyze labor demand dynamics, Analyze labor supply dynamics, Build novel partnership models, Build novel partnership approaches, Marshal internal resources, Marshal external resources, Align external political leadership, Partner with allied employers, Partner with educational institutions", "teamCollaboration" : "Work with public policy teammates; Work with internal customers; Work with AWS infrastructure teams; Work with partners across Amazon.com", "projectManagementSkills" : [ "Program management lifecycle", "Project management tools/methodologies" ], "domainKnowledge" : "Data center infrastructure; Workforce development programs", "domainList" : [ "data-center-infrastructure", "workforce-development-programs" ], "domainSpecificKnowledge" : [ "Data center infrastructure", "Workforce development programs" ], "communicationSkills" : "Public speaking; Written content; Convenings; Coalition-building", "innovationCreativity" : "Designing innovative programs; Fresh approaches to workforce development; Entrepreneurial approach to developing new solutions", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Ability to travel frequently, Travel domestically, Travel globally, Travel on short notice", "qualificationsBasic" : "Bachelor's degree or above, 10+ years of experience in education leadership, workforce development, economic development, or public policy", "qualificationsPreferred" : "Experience negotiating complex deals, Experience with instructional design, Experience with curriculum architecture, Experience with training program development, Experience prioritizing and handling multiple assignments, Experience completing complex tasks quickly with little to no guidance, Knowledge of program management lifecycle, Knowledge of project management tools/methodologies, Experience designing, developing, deploying, and maintaining large scale projects, Knowledge of education funding sources, policies, and legislation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Application deadline: Jun 13, 2026 Are you passionate about building meaningful workforce development partnerships with local stakeholders — ones where everyone wins? Do you thrive on the challenge of designing innovative programs and fresh approaches to workforce development? Amazon is seeking a dynamic team member to do exactly that, playing a key role in driving our economic development initiatives forward in our US Southeast regions. Key job responsibilities - Own the full workforce program lifecycle, from gap identification and solution design through pilot execution and scaled delivery. Ensure programs are delivered on time, within budget, and informed by data. - Assess current workforce development offerings against labor market demands and expansion timelines. Identify competency mismatches and build a pipeline of new program concepts to address unmet needs. - Set a multi-horizon strategic vision for workforce development that operates across national, state, regional, and local levels. Translate that vision into a prioritized roadmap aligned to talent needs. - Cultivate high-trust relationships with political, economic development, and education leaders at all levels of government. Secure the policy, funding, and institutional support needed to bring programs to scale. - Represent the workforce development mission through public speaking, written content, convenings, and coalition-building with policymakers, educators, employers, and community organizations. - Champion the needs of internal teams and external partners to continuously increase program quality and relevance. - Partner with the research and analysis team to evaluate program effectiveness, make evidence-based decisions, and communicate outcomes to senior leadership and external stakeholders. A day in the life The role will be responsible for identifying evolving opportunities and leading an entrepreneurial approach to developing new solutions and approaches, building consensus internally and externally, iterating through real world pilot launches, fostering adoption, and driving implementation to scale. This includes analyzing labor demand and supply side dynamics, building novel partnership models and approaches, marshaling internal and external resources, aligning external political leadership, and partnering with other allied employers and educational institutions. About the team AWS Workforce Development is a part of the Global Public Policy team. We work seamlessly with our public policy teammates, internal customers (particularly AWS infrastructure teams), and partners across Amazon.com to drive a robust and highly successful portfolio of data center infrastructure-based workforce development programs. Basic Qualifications: - Bachelor's degree or above in a relevant discipline (e.g. Law, Political Science, Public Policy, Public Affairs, Economic Development) - 10+ years of experience in education leadership, workforce development, economic development, or public policy - Ability to travel frequently, domestically and globally, based on business needs, sometimes on short notice. Preferred Qualifications: - Experience negotiating complex deals with customers and partners or equivalent - Experience with instructional design, curriculum architecture, or training program development - Experience with instructional design, curriculum architecture, or training program development - Experience prioritizing and handling multiple assignments at any given time while maintaining commitment to deadlines, or experience completing complex tasks quickly with little to no guidance and react with appropriate urgency to situations that require a quick turnaround - Knowledge of program management lifecycle and project management tools/methodologies - Experience designing, developing, deploying, and maintaining large scale projects. - Knowledge of education funding sources, policies, and legislation - Strong verbal and written communication, and presentation skills. 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. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. 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, , - 164,800.00 - 222,900.00 USD annually", "summaryDescription" : "Principal - Southeast, AWS Workforce Development at Amazon.com Services LLC. Skills: Workforce development, Program design, Stakeholder relations. Own workforce program lifecycle. Identify program gaps", "postedDate" : "2026-06-13T05:15:38.867", "createdAt" : "2026-06-13T05:15:38.867", "lastUpdated" : "2026-06-15T01:08:28.617", "ingestTimestamp" : "2026-06-13T05:15:38.867", "mongoId" : "6a2a660374d8ee00a062b7ef", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10442512/apply", "salaryAnnualMin" : 164800, "salaryAnnualMax" : 222900, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Instructional design", "Curriculum architecture", "Training program development", "Public speaking", "Workforce development", "Program design", "Stakeholder relations", "Economic development", "Public policy", "Program lifecycle management", "Strategic vision", "Talent needs alignment", "Partnership models", "Data analysis", "Program management lifecycle", "Project management tools/methodologies", "Data center infrastructure", "Workforce development programs" ], "skillCount" : 18, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 819.52167, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2524a374d8ee00a00e2a1e", "title" : "AI Automation Specialist", "industry" : "Tech & Finance", "salary" : { "min" : 2500.0, "max" : 3000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Egypt", "locations" : [ "Egypt", "Ethiopia", "South Africa", "Argentina", "Nigeria" ], "timestamp" : "2026-06-14T20:12:18.689", "fingerprint" : "2fdc00b3773f1beacbd1f3836adc3ddb994b10c8cb36bb49b84e307444afa0c3", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Scale%20Army%20Careers/80a50c24-fe1a-4579-8952-8b57bfc22c10/application", "externalId" : "80a50c24-fe1a-4579-8952-8b57bfc22c10", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Egypt", "continent" : "af", "workMode" : "remote" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "continent" : "sa", "workMode" : "remote" }, { "continent" : "af", "workMode" : "remote" }, { "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Egypt; United States", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Claude Desktop Enterprise, Zapier, Make.com, n8n, Microsoft 365, APIs, Webhooks, HubSpot, Salesforce, GoHighLevel", "professionalSkills" : [ "Business process automation", "Systems management", "Business analysis", "AI implementation", "Reporting automation", "Workflow automation", "Data integration", "Process mapping", "Requirement translation" ], "hardSkillsList" : [ "AI workflows", "Reporting automation", "Workflow automation", "System integration", "MCP connections" ], "softSkillsList" : [ "Analytical", "Problem-solving", "Business-minded", "Independent", "Ownership", "Comfortable" ], "hardSkills" : [ { "name" : "AI workflows", "level" : "intermediate" }, { "name" : "Reporting automation", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" }, { "name" : "System integration", "level" : "intermediate" }, { "name" : "MCP connections", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Problem-solving" }, { "name" : "Business-minded" }, { "name" : "Independent" }, { "name" : "Ownership" }, { "name" : "Comfortable" } ], "majorSkills" : "AI Automation, Workflow Automation, Process Optimization, System Integration", "majorSkillsList" : [ "AI Automation", "Workflow Automation", "Process Optimization", "System Integration" ], "coreResponsibilities" : "Understand current workflows, Identify automation opportunities, Analyze business processes, Identify inefficiencies, Identify bottlenecks, Identify repetitive manual tasks, Recommend AI-powered solutions, Implement AI-powered solutions, Create repeatable AI workflows, Identify reporting automation opportunities, Identify dashboard automation opportunities, Identify spreadsheet automation opportunities, Design Claude Projects, Build Claude Projects, Maintain Claude Projects, Develop AI-assisted workflows, Develop AI-assisted prompts, Develop AI-assisted templates, Develop AI-assisted knowledge systems, Leverage Claude Desktop Enterprise, Train employees on AI, Support employees on AI, Identify reporting processes, Automate reporting processes, Streamline data collection, Streamline data analysis, Streamline report generation, Build automated reporting solutions, Create dashboards, Create reporting systems, Improve reporting visibility, Improve reporting scalability, Improve operational efficiency, Design automations, Implement automations, Connect business systems, Connect applications, Improve data flow, Eliminate duplicate work, Develop integrated workflows, Monitor automation performance, Maintain automation performance, Identify automation improvement opportunities, Configure MCP connections, Maintain MCP connections, Expand Claude functionality, Support workflow integrations, Support data integrations, Partner with Operations, Partner with Analytics, Partner with Marketing, Partner with Finance, Partner with Executive Leadership, Gather requirements, Prioritize projects, Communicate automation opportunities, Document processes, Document workflows, Document automation solutions, Act as internal consultant, Maximize AI capabilities, Maximize automation capabilities, Drive adoption of automation, Drive success of automation", "teamCollaboration" : "Cross-functional teams; Department leaders; Executive leadership", "projectManagementSkills" : [ "Prioritize projects", "Drive projects completion" ], "domainKnowledge" : "AI tools; Automation platforms; Business systems; Workflow automation; Reporting automation; System integration; MCP integrations", "domainList" : [ "ai-tools", "automation-platforms", "business-systems", "workflow-automation", "reporting-automation", "system-integration", "mcp-integrations" ], "domainSpecificKnowledge" : [ "AI tools", "Automation platforms", "Business systems", "Workflow automation", "Reporting automation", "System integration", "MCP integrations" ], "toolProficiency" : [ "Claude Desktop Enterprise", "Zapier", "Make.com", "n8n", "Microsoft 365", "HubSpot", "Salesforce" ], "communicationSkills" : "Communicate opportunities; Document processes; Document workflows; Document solutions", "documentationSkills" : "Document processes; Document workflows; Document automation solutions", "innovationCreativity" : "Identify inefficiencies; Identify opportunities for automation; Identify opportunities for improvement", "problemSolvingSkills" : "Analyze business processes; Identify inefficiencies; Identify bottlenecks; Identify repetitive manual tasks; Problem solver", "specialRequirements" : "Work during U.S. business hours, Available during U.S. business hours", "outcomesObjectives" : "Reduce manual work; Improve reporting; Automate dashboards; Increase operational efficiency; Improve productivity; Improve operational effectiveness; Reduce reliance on spreadsheets; Reduce repetitive manual tasks; Provide leadership business insights; Eliminate duplicate work; Improve data flow; Reduce administrative tasks", "qualificationsBasic" : "3+ years experience in business process automation, 3+ years experience in operations, 3+ years experience in systems management, 3+ years experience in business analysis, 3+ years experience in AI implementation, Hands-on AI-powered workflows experience, Experience automating reporting processes, Experience automating dashboards, Experience automating operational workflows, Experience working cross-functionally, Experience using Zapier, Experience using Make.com, Experience using n8n", "qualificationsPreferred" : "Hands-on Claude Desktop Enterprise experience, MCP integrations experience, Connected business systems experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone. CLIENT OVERVIEW Our client is a leading employee assistance and workplace wellness organization serving businesses across North America. They provide employee support services, organizational consulting, wellness solutions, and technology-enabled resources that help organizations improve employee wellbeing, engagement, and performance. As they continue expanding the use of artificial intelligence across multiple departments, they are investing in smarter reporting, workflow automation, dashboard creation, and connected systems that reduce manual work and help teams operate more efficiently. They are seeking an experienced AI Automation Specialist to help identify inefficiencies, automate workflows, connect business systems, and drive strategic AI adoption throughout the organization. Role Overview The AI Automation Specialist will work directly with department leaders across Operations, Analytics, Finance, Marketing, and Leadership to identify manual processes, streamline workflows, and implement AI-powered solutions. The AI Automation Specialist will serve as the organization's internal AI and automation expert, helping teams leverage Claude Desktop Enterprise, workflow automation platforms, MCP integrations, and connected business systems to reduce manual work, improve reporting, automate dashboards, and increase operational efficiency. This role bridges business process improvement and technical execution, requiring deep fluency in modern AI tools, automation platforms, and business systems. This is an individual contributor role with no direct reports and significant visibility across the organization. Location Fully Remote (Work from Home) | 9AM - 5PM EST Key Responsibilities AI & Process Optimization - Meet with department leaders to understand current workflows, challenges, and opportunities for automation. - Analyze existing business processes and identify inefficiencies, bottlenecks, and repetitive manual tasks. - Recommend and implement AI-powered solutions that improve productivity and operational effectiveness. - Create repeatable AI workflows that can be leveraged across multiple departments. - Identify opportunities to automate reporting, dashboard creation, and spreadsheet-heavy internal processes. Claude & AI Enablement - Design, build, and maintain Claude Projects tailored to department-specific needs. - Develop AI-assisted workflows, prompts, templates, and knowledge systems. - Help teams leverage Claude Desktop Enterprise for reporting, analysis, documentation, content generation, and decision-making. - Train and support employees on AI best practices and workflow adoption. - Serve as the organization's internal subject matter expert on Claude capabilities, workflows, and AI-enabled productivity. Reporting & Analytics Automation - Identify reporting processes currently requiring manual intervention and automate where possible. - Streamline data collection, analysis, and report generation workflows. - Build automated reporting solutions that reduce reliance on spreadsheets and repetitive manual tasks. - Create dashboards and reporting systems that provide leadership with timely business insights. - Improve reporting visibility, scalability, and operational efficiency across departments. Workflow Automation & Systems Integration - Design and implement automations using Zapier, http://make.comMake.com http://Make.com, n8n, and related platforms. - Connect business systems and applications to improve data flow and eliminate duplicate work. - Develop workflows that integrate across Microsoft 365, Smartsheet, CRM platforms, financial systems, and other internal platforms. - Monitor and maintain automation performance while continuously identifying opportunities for improvement. - Configure and maintain MCP (Model Context Protocol) connections between Claude and business systems to enable seamless access to data, tools, and workflows. - Identify opportunities to leverage MCP integrations to expand Claude's functionality across departments and business processes. - Support workflow and data integrations involving HubSpot and comparable CRM platforms. Cross-Functional Collaboration - Partner closely with Operations, Analytics, Marketing, Finance, and Executive Leadership teams. - Gather requirements, prioritize projects, and communicate automation opportunities. - Document processes, workflows, and automation solutions for long-term scalability. - Act as an internal consultant helping departments maximize AI and automation capabilities. - Collaborate with stakeholders across the organization to drive adoption and long-term success of automation initiatives. Qualifications Experience - 3+ years of experience in business process automation, operations, systems management, business analysis, AI implementation, or a related field. - Hands-on experience implementing AI-powered workflows within a business environment. - Experience automating reporting processes, dashboards, and operational workflows. - Experience working cross-functionally with multiple departments and stakeholders. - Experience using automation platforms such as Zapier, http://make.comMake.com http://Make.com, n8n, or similar tools. - Hands-on experience with Claude Desktop Enterprise, MCP integrations, and connected business systems is strongly preferred. Qualifications Skills - Deep understanding of Claude Desktop Enterprise, including Projects, Artifacts, prompting, workflows, and MCP connections. - Hands-on experience building automations using Zapier, http://make.comMake.com http://Make.com, n8n, or similar automation platforms. - Strong understanding of the Microsoft 365 ecosystem. - Ability to map business processes and translate requirements into automation solutions. - Familiarity with APIs, webhooks, and system integrations. - Experience configuring and managing MCP connections within Claude and integrating Claude with external systems, business applications, and data sources. - Familiarity working with HubSpot, Salesforce, GoHighLevel, or comparable CRM platforms. - Strong analytical and problem-solving abilities. - Business-minded problem solver who can independently identify opportunities for improvement. - Self-starter who takes ownership of projects and drives them through completion. - Comfortable working in a fast-paced environment with evolving priorities. What Success Looks Like - Manual reporting and spreadsheet-heavy processes are significantly reduced through automation. - Departments successfully adopt AI workflows that improve productivity and efficiency. - Claude Projects and AI solutions become embedded into day-to-day operations. - Business systems are better connected, reducing duplicate work and improving visibility across teams. - Leadership gains access to more accurate, timely, and automated reporting. - Employees spend less time on administrative tasks and more time on high-value work. - Reporting, dashboard generation, and internal operational processes become increasingly automated and scalable. Opportunity This is a rare opportunity to become the internal AI and automation champion for an established, mission-driven organization. You will work directly with executive leadership and partner with teams across the business to modernize reporting, automate internal workflows, connect business systems, and scale AI adoption. If you thrive on solving operational challenges, building intelligent workflows, leveraging Claude Desktop Enterprise, and helping organizations unlock the full potential of AI and automation, this role offers meaningful ownership, visibility, and impact at the forefront of business transformation. APPLICATION PROCESS: TO BE CONSIDERED FOR THIS ROLE THESE STEPS NEED TO BE FOLLOWED: - Fill in the application form - Record a video showcasing your skill sets", "summaryDescription" : "AI Automation Specialist. Skills: AI Automation, Workflow Automation, Process Optimization, System Integration. Understand current workflows. Identify automation opportunities", "postedDate" : "2026-06-11T19:24:19.688", "createdAt" : "2026-06-11T19:24:19.688", "lastUpdated" : "2026-06-14T20:12:18.689", "ingestTimestamp" : "2026-06-11T19:24:19.688", "mongoId" : "6a2524a374d8ee00a00e2a1e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 2500, "salaryAnnualMax" : 3000, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "AI workflows", "Reporting automation", "Workflow automation", "System integration", "MCP connections", "Analytical", "Problem-solving", "Business-minded", "Independent", "Ownership", "Comfortable", "AI Automation", "Workflow Automation", "Process Optimization", "System Integration", "Business process automation", "Systems management", "Business analysis", "AI implementation", "Data integration", "Process mapping", "Requirement translation", "Prioritize projects", "Drive projects completion", "AI tools", "Automation platforms", "Business systems", "MCP integrations", "Claude Desktop Enterprise", "Zapier", "Make.com", "n8n", "Microsoft 365", "HubSpot", "Salesforce" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "allone-health", "dataQualityScore" : 0.8888889, "_score" : 814.01135, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a3f6674d8ee00a05c292b", "title" : "Director, Workforce Transformation", "company" : "West Monroe", "salary" : { "min" : 200000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Chicago", "locations" : [ "Chicago" ], "timestamp" : "2026-06-11T07:59:29.160", "fingerprint" : "03fab9492179c8be67820470625d88248e485cc252225abb701635f73157f2c3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://westmonroe.com/careers/job-details-experienced-professionals?gh_jid=6017812004", "externalId" : "6017812004", "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "experienceMinYears" : 10, "experienceLevel" : "Director", "technicalSkills" : "AI, Automation", "professionalSkills" : [ "Workforce analytics", "Process redesign", "Cost takeout", "Operating model improvement", "Workflow analysis", "Capacity planning", "Financial modeling", "Value realization", "Business development", "Go-to-market" ], "hardSkillsList" : [ "Workload analysis", "Cost analysis", "ROI analysis", "Lean", "Generative AI" ], "hardSkills" : [ { "name" : "Workload analysis", "level" : "intermediate" }, { "name" : "Cost analysis", "level" : "intermediate" }, { "name" : "ROI analysis", "level" : "intermediate" }, { "name" : "Lean", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" } ], "majorSkills" : "Workforce transformation, Cost takeout, AI-enabled workflow, Labor productivity", "majorSkillsList" : [ "Workforce transformation", "Cost takeout", "AI-enabled workflow", "Labor productivity" ], "coreResponsibilities" : "Lead work transformation engagements, Lead cost takeout engagements, Lead client engagements, Assess workflows, Assess service models, Assess management systems, Identify value leakage, Build quantified value cases, Translate opportunities into roadmaps, Drive AI-enabled workflow transformation, Identify AI opportunities, Prioritize use cases, Redesign workflows, Embed AI into work, Ensure initiatives tied to outcomes, Define KPIs, Track KPIs, Govern initiatives, Drive business development, Originate engagements, Close engagements, Develop proposals, Develop scopes, Develop pricing approaches, Develop staffing models, Identify follow-on opportunities, Shape follow-on opportunities, Partner across teams, Bring integrated solutions, Own engagement delivery, Lead teams, Grow the practice, Coach team members, Contribute to methodologies, Contribute to tools, Contribute to go-to-market assets", "teamCollaboration" : "Across industry teams; Across technology teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Workforce analytics; Process redesign; Cost takeout; AI-enabled workflow; Operating model design; Lean; Generative AI", "domainList" : [ "workforce-analytics", "process-redesign", "cost-takeout", "ai-enabled-workflow", "operating-model-design", "lean", "generative-ai" ], "domainSpecificKnowledge" : [ "Workforce analytics", "Process redesign", "Cost takeout", "AI-enabled workflow", "Operating model design", "Lean", "Generative AI" ], "communicationSkills" : "Executive communication", "problemSolvingSkills" : "Structured problem solving", "outcomesObjectives" : "Deliver measurable outcomes; Grow the Work & Workforce Transformation discipline", "rawDescription" : "Are you ready to make an impact? West Monroe is seeking a Director to join our Organization People & Change practice within the Work & Workforce Transformation discipline. This role is designed for a leader with a clear point of view on how organizations improve productivity—combining workforce analytics, process redesign, cost takeout, and AI-enabled workflow transformation to unlock measurable value. Our Work & Workforce Transformation team focuses on helping clients redesign how work gets done at scale—improving labor efficiency, reducing cost, increasing throughput, and embedding AI into day-to-day operations. What you’ll do: Lead work transformation & cost takeout engagements Lead client engagements focused on labor productivity, cost takeout, operating model improvement, and process redesign Assess workflows, service models, and management systems to identify value leakage Build quantified value cases using operational data, work measurement, and financial modeling Translate opportunities into executable roadmaps with clear ownership, milestones, and value realization Drive AI-enabled workflow transformation Identify opportunities to apply AI, automation, and decision support within business processes Prioritize use cases based on business impact, feasibility, and adoption readiness Redesign workflows that embed AI into how work gets done (including human-in-the-loop models) Ensure initiatives are tied to measurable outcomes through KPI definition, tracking, and governance Drive business development Originate and close productivity/work transformation-focused engagements (e.g., labor optimization, cost takeout, AI-enabled workflow transformation) Develop proposals, scopes, pricing approaches, and staffing models Identify and shape follow-on opportunities by translating client pain points into quantified value stories Partner across industry and technology teams to bring integrated solutions to market Lead teams & grow the practice Own engagement delivery, team leadership, quality, economics, and client satisfaction Coach team members in productivity methods, structured problem solving, and executive communication Contribute to productivity/workforce methodologies, tools, and go-to-market assets What you’ll bring: 10+ years of experience in consulting, operations, or transformation roles Deep experience in productivity improvement, including labor efficiency, workforce analytics, cost takeout, or process transformation Strong ability to build and communicate quantified business cases (workload analysis, capacity, cost, ROI) Experience applying process improvement methods (e.g., lean, workflow analysis, operating model design) Ability to connect AI (including generative AI and automation) to practical workflow use cases and measurable outcomes Track record of selling and delivering work in a consulting or advisory environment Strong executive communication and stakeholder management skills Experience in one or more of West Monroe’s core industries preferred What success looks like You quickly identify and quantify productivity opportunities and mobilize teams to capture value Engagements deliver measurable outcomes (cost reduction, labor efficiency, throughput improvement, capacity unlock) Clients adopt AI-enabled workflows that drive sustained operational impact You help grow the Work & Workforce Transformation discipline through delivery, mentorship, and business development Based on pay transparency guidelines, a reasonable expectation for the salary range for this role is listed below. Information on our competitive total rewards package, including our bonus structure and benefits is here. Individual salaries are determined by evaluating a variety of factors including geography, experience, skills, education, and internal equity. Employees in proximity of our Seattle, Washington DC, Los Angeles, New York, and San Francisco offices will have a geographic premium applied to this salary scale. Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are able to enroll in our company’s 401k plan, purchase shares from our employee stock ownership program and be eligible to receive annual bonuses. Employees will also receive unlimited flexible time off and ten paid holidays throughout the calendar year. Eligibility for ten weeks of paid parental leave will also be available upon hire date. National $200,000—$275,000 USD Other consultancies talk at you. At West Monroe, we work with you. We’re a global business and technology consulting firm passionate about creating measurable value for our clients, delivering real-world solutions. The combination of business and technology is not new, but how we bring them together is unique. We’re fluent in both. We know that technology alone is not the answer, but how we apply it is. We rely on data to constantly adapt and solve new challenges. Actions that work today with outcomes that generate value for years to come. At West Monroe, we zero in on the heart of the opportunity, getting to results faster and preparing people for what’s next. You’ll feel the difference in how we work. We show up personally. We’re right there in the room with you, co-creating through the challenges. With West Monroe, collaboration isn’t a lofty promise, but a daily action. We work together with you to turn vision into clear action with lasting impact. West Monroe is an Equal Employment Opportunity Employer  We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law. To learn more about diversity, equity and inclusion at West Monroe, visit www.westmonroe.com/inclusion. If you require a reasonable accommodation to participate in our recruiting process, please inquire by sending an email to recruiting@westmonroe.com. Please review our current policy regarding use of generative artificial intelligence during the application process. If you are based in California, we encourage you to read West Monroe’s Notice at Collection for California residents, provided pursuant to the California Consumer Privacy Act (CCPA) and linked here. ", "summaryDescription" : "Director, Workforce Transformation at West Monroe. Skills: Workforce transformation, Cost takeout, AI-enabled workflow, Labor productivity. Lead work transformation engagements. Lead cost takeout engagements", "postedDate" : "2026-06-11T07:16:21.481", "createdAt" : "2026-06-11T07:16:21.481", "lastUpdated" : "2026-06-11T07:59:29.160", "ingestTimestamp" : "2026-06-11T07:16:21.481", "mongoId" : "6a2a3f6674d8ee00a05c292b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 275000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Workload analysis", "Cost analysis", "ROI analysis", "Lean", "Generative AI", "Workforce transformation", "Cost takeout", "AI-enabled workflow", "Labor productivity", "Workforce analytics", "Process redesign", "Operating model improvement", "Workflow analysis", "Capacity planning", "Financial modeling", "Value realization", "Business development", "Go-to-market", "Roadmap planning", "Operating model design" ], "skillCount" : 20, "jobCategory" : "human-resources", "jobSubcategory" : "organization,-people-&-change", "dataQualityScore" : 0.8888889, "_score" : 811.0402, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a3f6674d8ee00a05c292c", "title" : "Director, Workforce Transformation", "company" : "West Monroe", "salary" : { "min" : 200000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Chicago", "locations" : [ "Chicago" ], "timestamp" : "2026-06-11T07:22:00.173", "fingerprint" : "9239c638db2a46f57631522fa471721d361f6a8fc6598b835f64bab1561be037", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://westmonroe.com/careers/job-details-experienced-professionals?gh_jid=6017818004", "externalId" : "6017818004", "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "experienceMinYears" : 10, "experienceLevel" : "Director", "technicalSkills" : "AI, Automation", "professionalSkills" : [ "Workforce analytics", "Process redesign", "Cost takeout", "Operating model improvement", "Workflow analysis", "Capacity planning", "Financial modeling", "Value realization", "Business development", "Go-to-market" ], "hardSkillsList" : [ "Workload analysis", "Cost analysis", "ROI analysis", "Lean", "Generative AI" ], "hardSkills" : [ { "name" : "Workload analysis", "level" : "intermediate" }, { "name" : "Cost analysis", "level" : "intermediate" }, { "name" : "ROI analysis", "level" : "intermediate" }, { "name" : "Lean", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" } ], "majorSkills" : "Workforce transformation, Cost takeout, AI-enabled workflow, Labor productivity", "majorSkillsList" : [ "Workforce transformation", "Cost takeout", "AI-enabled workflow", "Labor productivity" ], "coreResponsibilities" : "Lead work transformation engagements, Lead cost takeout engagements, Lead client engagements, Assess workflows, Assess service models, Assess management systems, Identify value leakage, Build quantified value cases, Translate opportunities into roadmaps, Drive AI-enabled workflow transformation, Identify AI opportunities, Prioritize use cases, Redesign workflows, Embed AI into work, Ensure initiatives tied to outcomes, Define KPIs, Track KPIs, Govern initiatives, Drive business development, Originate engagements, Close engagements, Develop proposals, Develop scopes, Develop pricing approaches, Develop staffing models, Identify follow-on opportunities, Shape follow-on opportunities, Partner across teams, Bring integrated solutions, Own engagement delivery, Lead teams, Grow the practice, Coach team members, Contribute to methodologies, Contribute to tools, Contribute to go-to-market assets", "teamCollaboration" : "Cross-functional teams; Industry teams; Technology teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Workforce analytics; Process redesign; Cost takeout; AI; Automation; Operating models; Lean; Generative AI", "domainList" : [ "workforce-analytics", "process-redesign", "cost-takeout", "ai", "automation", "operating-models", "lean", "generative-ai" ], "domainSpecificKnowledge" : [ "Workforce analytics", "Process redesign", "Cost takeout", "AI", "Automation", "Operating models", "Lean", "Generative AI" ], "communicationSkills" : "Executive communication", "problemSolvingSkills" : "Structured problem solving", "outcomesObjectives" : "Deliver measurable outcomes; Cost reduction; Labor efficiency; Throughput improvement; Capacity unlock; Clients adopt AI workflows; Drive sustained operational impact; Grow discipline through delivery; Grow discipline through mentorship; Grow discipline through business development", "rawDescription" : "Are you ready to make an impact? West Monroe is seeking a Director to join our Organization People & Change practice within the Work & Workforce Transformation discipline. This role is designed for a leader with a clear point of view on how organizations improve productivity—combining workforce analytics, process redesign, cost takeout, and AI-enabled workflow transformation to unlock measurable value. Our Work & Workforce Transformation team focuses on helping clients redesign how work gets done at scale—improving labor efficiency, reducing cost, increasing throughput, and embedding AI into day-to-day operations. What you’ll do: Lead work transformation & cost takeout engagements Lead client engagements focused on labor productivity, cost takeout, operating model improvement, and process redesign Assess workflows, service models, and management systems to identify value leakage Build quantified value cases using operational data, work measurement, and financial modeling Translate opportunities into executable roadmaps with clear ownership, milestones, and value realization Drive AI-enabled workflow transformation Identify opportunities to apply AI, automation, and decision support within business processes Prioritize use cases based on business impact, feasibility, and adoption readiness Redesign workflows that embed AI into how work gets done (including human-in-the-loop models) Ensure initiatives are tied to measurable outcomes through KPI definition, tracking, and governance Drive business development Originate and close productivity/work transformation-focused engagements (e.g., labor optimization, cost takeout, AI-enabled workflow transformation) Develop proposals, scopes, pricing approaches, and staffing models Identify and shape follow-on opportunities by translating client pain points into quantified value stories Partner across industry and technology teams to bring integrated solutions to market Lead teams & grow the practice Own engagement delivery, team leadership, quality, economics, and client satisfaction Coach team members in productivity methods, structured problem solving, and executive communication Contribute to productivity/workforce methodologies, tools, and go-to-market assets What you’ll bring: 10+ years of experience in consulting, operations, or transformation roles Deep experience in productivity improvement, including labor efficiency, workforce analytics, cost takeout, or process transformation Strong ability to build and communicate quantified business cases (workload analysis, capacity, cost, ROI) Experience applying process improvement methods (e.g., lean, workflow analysis, operating model design) Ability to connect AI (including generative AI and automation) to practical workflow use cases and measurable outcomes Track record of selling and delivering work in a consulting or advisory environment Strong executive communication and stakeholder management skills Experience in one or more of West Monroe’s core industries preferred What success looks like You quickly identify and quantify productivity opportunities and mobilize teams to capture value Engagements deliver measurable outcomes (cost reduction, labor efficiency, throughput improvement, capacity unlock) Clients adopt AI-enabled workflows that drive sustained operational impact You help grow the Work & Workforce Transformation discipline through delivery, mentorship, and business development Based on pay transparency guidelines, a reasonable expectation for the salary range for this role is listed below. Information on our competitive total rewards package, including our bonus structure and benefits is here. Individual salaries are determined by evaluating a variety of factors including geography, experience, skills, education, and internal equity. Employees in proximity of our Seattle, Washington DC, Los Angeles, New York, and San Francisco offices will have a geographic premium applied to this salary scale. Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are able to enroll in our company’s 401k plan, purchase shares from our employee stock ownership program and be eligible to receive annual bonuses. Employees will also receive unlimited flexible time off and ten paid holidays throughout the calendar year. Eligibility for ten weeks of paid parental leave will also be available upon hire date. National $200,000—$275,000 USD Other consultancies talk at you. At West Monroe, we work with you. We’re a global business and technology consulting firm passionate about creating measurable value for our clients, delivering real-world solutions. The combination of business and technology is not new, but how we bring them together is unique. We’re fluent in both. We know that technology alone is not the answer, but how we apply it is. We rely on data to constantly adapt and solve new challenges. Actions that work today with outcomes that generate value for years to come. At West Monroe, we zero in on the heart of the opportunity, getting to results faster and preparing people for what’s next. You’ll feel the difference in how we work. We show up personally. We’re right there in the room with you, co-creating through the challenges. With West Monroe, collaboration isn’t a lofty promise, but a daily action. We work together with you to turn vision into clear action with lasting impact. West Monroe is an Equal Employment Opportunity Employer  We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law. To learn more about diversity, equity and inclusion at West Monroe, visit www.westmonroe.com/inclusion. If you require a reasonable accommodation to participate in our recruiting process, please inquire by sending an email to recruiting@westmonroe.com. Please review our current policy regarding use of generative artificial intelligence during the application process. If you are based in California, we encourage you to read West Monroe’s Notice at Collection for California residents, provided pursuant to the California Consumer Privacy Act (CCPA) and linked here. ", "summaryDescription" : "Director, Workforce Transformation at West Monroe. Skills: Workforce transformation, Cost takeout, AI-enabled workflow, Labor productivity. Lead work transformation engagements. Lead cost takeout engagements", "postedDate" : "2026-06-11T07:11:31.865", "createdAt" : "2026-06-11T07:11:31.865", "lastUpdated" : "2026-06-11T07:22:00.173", "ingestTimestamp" : "2026-06-11T07:11:31.865", "mongoId" : "6a2a3f6674d8ee00a05c292c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 275000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Workload analysis", "Cost analysis", "ROI analysis", "Lean", "Generative AI", "Workforce transformation", "Cost takeout", "AI-enabled workflow", "Labor productivity", "Workforce analytics", "Process redesign", "Operating model improvement", "Workflow analysis", "Capacity planning", "Financial modeling", "Value realization", "Business development", "Go-to-market", "Roadmap planning", "AI", "Automation", "Operating models" ], "skillCount" : 22, "jobCategory" : "human-resources", "jobSubcategory" : "organization,-people-&-change", "dataQualityScore" : 0.8888889, "_score" : 810.7542, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c6b5e74d8ee00a0911cdc", "title" : "AI Adoption Specialist", "company" : "spektr", "industry" : "SaaS", "salary" : { "min" : 600000.0, "max" : 850000.0, "currency" : "DKK", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior AI Adoption Specialist in FinTech in Copenhagen, Denmark, adjusted for seniority and industry." }, "location" : "København, Capital Region of Denmark, Denmark", "locations" : [ "København", "Capital Region of Denmark", "Denmark" ], "timestamp" : "2026-06-15T09:57:32.932", "fingerprint" : "1fc4dc89e779272806b651e9978e4239d01cc7316fbf92cf747a2a4c5175f3bc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/spektr/jobs/4895683101", "externalId" : "4895683101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "København", "state" : "Capital Region of Denmark", "country" : "Denmark", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "55.6867243,12.5700724" } ], "locationText" : "København, Capital Region of Denmark, Denmark", "employmentType" : "FULL_TIME", "technicalSkills" : "AI, LLMs, Agents, Document processing, Workflow automation", "professionalSkills" : [ "Solutions engineering", "Product brief creation", "Roadmap definition", "Change management" ], "hardSkillsList" : [ "Prototype development", "Scalable solution building" ], "hardSkills" : [ { "name" : "Prototype development", "level" : "intermediate" }, { "name" : "Scalable solution building", "level" : "intermediate" } ], "majorSkills" : "AI adoption, Automation, Enterprise AI deployment", "majorSkillsList" : [ "AI adoption", "Automation", "Enterprise AI deployment" ], "coreResponsibilities" : "Map compliance workflows on-site, Identify manual low-judgment work, Size AI elimination potential, Push automation boundaries, Build working prototypes, Demonstrate automation in practice, Define use cases with rigour, Validate use cases with rigour, Translate opportunities into product briefs, Guide clients on enterprise AI deployment, Package validated use cases", "teamCollaboration" : "Work with Compliance Specialist; Direct line to product engineering", "domainKnowledge" : "Compliance workflows; Regulated environment; Enterprise AI deployment", "domainList" : [ "compliance-workflows", "regulated-environment", "enterprise-ai-deployment" ], "domainSpecificKnowledge" : [ "Compliance workflows", "Regulated environment", "Enterprise AI deployment" ], "communicationSkills" : "Business case presentation", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Diagnose independently; Troubleshoot projects", "specialRequirements" : "On-site client visits", "qualificationsBasic" : "Proven experience building deploying AI solutions, Experience with LLMs, Experience with agents, Experience with document processing, Experience with workflow automation, Experience in large regulated enterprise, Communicate with credibility at all levels", "qualificationsPreferred" : "Curiosity about compliance domain", "workSiteFlexibility" : "Onsite", "rawDescription" : "WHY SPEKTR At spektr, we are on a mission to automate the world’s most complex compliance workflows through AI. Founded by the team behind HelloFlow (acquired by Trulioo), spektr is building the infrastructure and AI agents to run compliance on scale. Most large financial companies rely on thousands of employees to keep up with manually handling compliance. With spektr’s AI agents, we have the opportunity to change that and completly redefine how compliance operates. This is a rare opportunity to join spektr at the moment of take-off. We have a proven product, already used by some of the largest and fastest-moving financial companies like Santander, Pleo, Phantom, and many more. Backed by Northzone, Seedcamp and PSV, we are scaling incredibly fast and changing the way compliance works in real time. The work is ambitious, the bar is high, and the opportunity for personal and professional growth is huge. THE OPPORTUNITY As our AI Specialist, you will push the boundaries of what automation can do inside heavily regulated enterprises - not by working within a defined feature set, but by asking what should be possible and building the case for making it real. If the spektr platform does not yet support a use case you have identified and validated, that becomes a product brief. You are not limited by today's capabilities - you are helping define tomorrow' s. You operate the way the best forward deployed engineers do: embedded with clients, hands-on, moving fast, and translating what you find directly into working prototypes and scalable solutions. You will work hand in hand with our Compliance Specialist, who owns the regulatory and domain depth, so you can stay focused on what you do best - finding every automation opportunity in the room and driving it to production. WHAT YOU WILL BE DOING Go on-site with clients to map compliance workflows from the ground up - identify the high-volume, manual, low-judgment work that should not exist, and size what AI can realistically eliminate Push the boundaries of what can be automated in a regulated environment - your benchmark is not what has been done before, it is what is now technically possible Build and demonstrate working prototypes that show clients what automation looks like in practice, not just in a slide deck - ideally live Define and validate use cases with rigour: success metrics upfront, pilots run tightly, a clear and honest case for scaling Where the spektr platform does not yet cover a validated opportunity, translate it into a structured product brief - your field work drives the roadmap Guide clients through what enterprise AI deployment actually requires: data readiness, governance, integration constraints, and change management Package every validated use case so it travels - every win should be repeatable across the client base, not a one-off WHAT WE ARE LOOKING FOR You are genuinely AI-native: you see automation opportunities as a reflex, and you have the hands-on experience to assess what is real versus what just sounds good Proven experience building and deploying AI solutions in production - LLMs, agents, document processing, workflow automation, or similar - you have made things work inside real organisations, not just as a hobby or demos The operating instincts of a forward deployed or solutions engineer: comfortable going deep into a client's environment, diagnosing independently, and building on the ground You understand what it takes to move from proof of concept to production inside a large, complex, regulated enterprise - and you know exactly where projects stall and how to prevent it Able to communicate with equal credibility at all levels: you can prototype in the morning and present the business case to a leadership team in the afternoon The compliance domain will be well covered by your counterpart - curiosity about that world matters, deep expertise does not This role may not be the right fit if you are most comfortable in a research or purely technical environment, prefer advising on AI over building with it, or measure your ambition by what a platform currently supports rather than what it should. Benefits A genuine mandate to push what AI can do in one of the most complex, high-stakes industries in the world — and the platform to make it real Direct line to the spektr product and engineering team — what you prove in the field shapes what gets built The chance to set a new standard for automation in regulated enterprises, from the inside Competitive compensation with meaningful upside tied to expansion performance OUR STANCE We care deeply about building a diverse, inclusive, and high-performance team. We encourage applications from candidates who may not tick every box but believe they can raise the bar. We value different perspectives, lived experiences, and ways of thinking - and we actively work to create an environment where everyone can do the best work of their career.", "summaryDescription" : "AI Adoption Specialist at spektr. Skills: AI adoption, Automation, Enterprise AI deployment. Map compliance workflows on-site. Identify manual low-judgment work", "postedDate" : "2026-06-14T08:11:11.602", "createdAt" : "2026-06-14T08:11:11.602", "lastUpdated" : "2026-06-15T09:57:32.932", "ingestTimestamp" : "2026-06-14T08:11:11.602", "mongoId" : "6a2c6b5e74d8ee00a0911cdc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Prototype development", "Scalable solution building", "AI adoption", "Automation", "Enterprise AI deployment", "Solutions engineering", "Product brief creation", "Roadmap definition", "Change management", "Compliance workflows", "Regulated environment" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 794.09674, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176e574d8ee00a0c1b409", "title" : "WFS Specialist, Workforce Staffing Japan", "company" : "Amazon Japan G. K.", "industry" : "Human Resources, Logistics", "salary" : { "min" : 6000000.0, "max" : 8500000.0, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-seniority Logistics Specialist in Tokyo, Japan, adjusted for company size and industry." }, "location" : "Tokyo, JPN", "locations" : [ "Tokyo, JPN" ], "timestamp" : "2026-06-15T04:16:15.706", "fingerprint" : "62424e3cb3379eaf1aef36f90d2607140e8cb3fe7275399d3e9d55dad6d9df06", "source" : "amazon", "language" : "ja", "applyUrl" : "https://account.amazon.jobs/jobs/10437302/apply", "externalId" : "f47be5df-ff84-4ec0-b36b-fe975d89ea58", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.6768601,139.7638947" } ], "locationText" : "Tokyo, Japan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "professionalSkills" : [ "Talent acquisition", "Stakeholder management", "Vendor management", "Project management", "Data analysis", "Recruiting strategy" ], "hardSkillsList" : [ "Data analysis", "Excel", "Pivot tables", "IF function", "VLOOKUP", "Word processing", "Report writing" ], "softSkillsList" : [ "Problem solving", "Negotiation", "Flexibility" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Excel", "level" : "intermediate" }, { "name" : "Pivot tables", "level" : "intermediate" }, { "name" : "IF function", "level" : "intermediate" }, { "name" : "VLOOKUP", "level" : "intermediate" }, { "name" : "Word processing", "level" : "intermediate" }, { "name" : "Report writing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem solving" }, { "name" : "Negotiation" }, { "name" : "Flexibility" } ], "majorSkills" : "Recruiting, Project management, Stakeholder management", "majorSkillsList" : [ "Recruiting", "Project management", "Stakeholder management" ], "coreResponsibilities" : "Lead large-scale hiring programs, Develop hiring strategies, Manage hiring plans, Manage vendor selection, Manage vendor negotiations, Set hiring milestones, Manage project timelines, Identify risks, Mitigate risks, Manage multiple projects, Transition sites to leads", "teamCollaboration" : "APAC WFS team; Business partners; Site leaders; Operations teams; PXT; Procurement; HRBP; Global teams", "projectManagementSkills" : [ "Project management", "Risk mitigation" ], "domainKnowledge" : "Workforce staffing; Logistics; Supply chain", "domainList" : [ "workforce-staffing", "logistics", "supply-chain" ], "domainSpecificKnowledge" : [ "Workforce staffing", "Logistics", "Supply chain" ], "toolProficiency" : [ "Microsoft Office", "Excel", "Word", "SharePoint", "PowerPoint" ], "communicationSkills" : "Verbal communication; Written communication; Data presentation", "documentationSkills" : "Report writing; Proposal writing", "continuousLearning" : "Internal job postings; Career development", "problemSolvingSkills" : "Problem solving; Data-driven solutions", "specialRequirements" : "Occasional travel, Temporary increase in workload", "qualificationsBasic" : "Bachelor's degree, Business level Japanese (N1+), 2+ years HR experience, Microsoft Office proficiency", "qualificationsPreferred" : "Analytical experience, Experience managing sensitive employee information, Project or program management experience, Master's degree or higher, 2+ years HR experience, Logistics/manufacturing/engineering experience, Vendor contract negotiation experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ポジション概要　新規物流施設（例：デリバリーステーション（DS）など）の立ち上げに向けた大規模採用プログラムを主導する、意欲的なLaunch Specialistを募集しています。 Launch Specialistは、新規施設の採用戦略について、計画から実行まで一貫して責任を持ち、APACワークフォーススタッフィング（WFS）チーム、および主要なビジネスパートナー（サイトリーダー、オペレーションチーム、PXT、調達部門など）と連携します。新規拠点の円滑な立ち上げを確実にするため、データに基づいたアプローチで採用計画とソリューションを策定するなど、立ち上げに必要なすべてのプロジェクト管理および採用業務を担当していただきます。必要なスキルには、ステークホルダーとの協議能力、データ分析能力、優れた口頭および書面によるコミュニケーション能力、そして新規拠点の立ち上げという極めて不確実な環境下でも柔軟に対応できる能力が含まれます。主な職務内容採用計画・APAC WFSチームが作成する採用計画、賃金提案、市場データを確認し、整合性を図る。ステークホルダーマネジメント・サイトリーダー、オペレーションチーム、HRBPなど、ステークホルダーのニーズを深く理解する。・定期的な会議を通じて、立ち上げに向けた採用の進捗状況を共有し、問題発生時には迅速に対応する。・上級レベルのステークホルダーに対し、データに基づいた提案を行い、フィードバックを受け入れ、計画を柔軟に調整する。人材派遣会社選定およびベンダー管理・新規拠点向けに、人材派遣会社への提案依頼書（RFP）を作成・発行する。・人材派遣会社からの提案を包括的に分析・評価する（価格、供給能力、サービス品質、実績など）。・最適な人材派遣会社を選定し、ステークホルダーに選定理由を説明する。・選定した人材派遣会社との交渉を通じて、必要な人員確保を支援する。プロジェクトマネジメント・立ち上げスケジュールに基づき、採用のマイルストーンを設定・管理する。・ボトルネックを予測し、リスクを特定し、対策を講じる。リスク軽減戦略・複数の立ち上げプロジェクトを同時に管理する可能性がある・立ち上げ後、サイトをフィールドのスタッフィングリードチームに速やかに引き継ぐ求められるスキルと資質・問題解決能力：データに基づいて最適なソリューションを特定し、不確実性の高い環境下でそれを実行できる能力・コミュニケーション能力：複雑なデータ分析結果を関係者に明確に伝え、提案を行う能力・プロジェクト管理能力：複数のタスクを同時に管理し、期限内に成果を出す能力・交渉能力：人材派遣会社と交渉し、Amazonにとって最良の条件を確保できる能力・柔軟性：ローンチ環境に内在する変化や不確実性に柔軟に対応できる能力・PCスキル：Microsoft Office（特にExcel：ピボットテーブル、IF関数、VLOOKUP関数などを用いたデータ分析、Word：レポートや提案書の作成）を日常的に使用できる能力・英語力：海外チームとの定期的な会議への参加、レポート作成、メールによるコミュニケーションの機会がある海外チームとの連携は、業務遂行上重要。キャリアパス Amazonでは、社員一人ひとりが自らのキャリア開発に主体的に取り組む文化が根付いています。年間を通して社内求人システムがあり、多様なキャリア機会を提供しています。備考新規拠点への出張（日帰りまたは宿泊）が必要となる場合があります。立ち上げ段階では、業務量が一時的に増加する可能性があります。 A day in the life WFSチームは、メンバーが互いに協力しながら、各自の業務に責任を持つ組織です。Launch Specialistとして、戦略的な計画立案と実務的な実行のバランスを取りながら、オペレーション部門との定期的な会議の実施、現地での採用イベントの企画・運営、ベンダーとの関係管理などを行います。採用イベントやステークホルダーとの会議のため、複数の担当拠点へ出張（日帰りまたは宿泊）する場合があります。Microsoft Office（Excel、Wordなど）を日常的に使用し、グローバルチームとも英語で連携します。 About the team グローバルチームの一員であるワークフォース・スタッフィング（WFS）部門では、お客様中心の視点で業務をOwnershipを持って遂行し、イノベーションを創造できるLaunch Specialistを募集しています。WFSはFC（Fulfillment Center）、DS（Delivery Station）、SSD（Sub Same Day）、QC（Quick Commerce）など、日本国内の様々な事業部門における人材確保を通じてビジネスとお客様に貢献します。 Basic Qualifications: - 学士号取得者 - ビジネスレベル以上（N1+）の日本語能力（会話、読解、文章作成を含む） - 採用または人事分野での実務経験2年以上 - Microsoft Officeアプリケーション（Excel、Word、SharePoint、PowerPoint）を使いこなせること Preferred Qualifications: - 分析業務（インタビュー、市場データ分析、分析レポート作成など）の経験 - 機密性の高い従業員情報の管理および厳格な機密保持基準の遵守の経験 - プロジェクトまたはプログラム管理の経験 - 人事、人事管理、労使関係、経営管理、心理学、または関連分野の修士号以上 - 人事分野での2年以上の経験 - 大量物流、製造、またはエンジニアリング環境における輸送またはサプライチェーン業務の経験 - 契約およびベンダー関係の管理と交渉の経験 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" : "WFS Specialist, Workforce Staffing Japan at Amazon Japan G. K.. Skills: Recruiting, Project management, Stakeholder management. Lead large-scale hiring programs. Develop hiring strategies", "postedDate" : "2026-06-13T06:12:59.202", "createdAt" : "2026-06-13T06:12:59.202", "lastUpdated" : "2026-06-15T04:16:15.706", "ingestTimestamp" : "2026-06-13T06:12:59.202", "mongoId" : "6a2176e574d8ee00a0c1b409", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10437302/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Excel", "Pivot tables", "IF function", "VLOOKUP", "Word processing", "Report writing", "Problem solving", "Negotiation", "Flexibility", "Recruiting", "Project management", "Stakeholder management", "Talent acquisition", "Vendor management", "Recruiting strategy", "Risk mitigation", "Workforce staffing", "Logistics", "Supply chain", "Microsoft Office", "Word", "SharePoint", "PowerPoint" ], "skillCount" : 24, "jobCategory" : "human-resources", "dataQualityScore" : 0.8888889, "_score" : 792.11066, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2176e574d8ee00a0c1b40a", "title" : "WFS Specialist, Workforce Staffing Japan", "company" : "Amazon Japan G. K.", "industry" : "Human Resources, Logistics", "salary" : { "min" : 7500000.0, "max" : 1.1E7, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Workforce Staffing Specialist in Tokyo, Japan, adjusted for the logistics industry and Amazon's company size." }, "location" : "Tokyo, JPN", "locations" : [ "Tokyo, JPN" ], "timestamp" : "2026-06-15T00:55:54.754", "fingerprint" : "f536afc4aaac577c961336f4740051bb34055279273709c692d2bd8fadbb147b", "source" : "amazon", "language" : "ja", "applyUrl" : "https://account.amazon.jobs/jobs/10437300/apply", "externalId" : "5133db03-8d98-456e-ba8e-a83817af236a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.6768601,139.7638947" } ], "locationText" : "Tokyo, Japan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Talent acquisition", "Recruitment strategy", "Market analysis", "Compensation analysis", "Stakeholder management", "Vendor management", "Project management", "Data analysis", "Problem solving", "Negotiation" ], "hardSkillsList" : [ "Data analysis", "Market data analysis", "Recruitment planning", "Hourly wage calculation", "RFP creation", "Excel data analysis", "Report writing" ], "softSkillsList" : [ "Ownership", "Flexibility" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Market data analysis", "level" : "intermediate" }, { "name" : "Recruitment planning", "level" : "intermediate" }, { "name" : "Hourly wage calculation", "level" : "intermediate" }, { "name" : "RFP creation", "level" : "intermediate" }, { "name" : "Excel data analysis", "level" : "intermediate" }, { "name" : "Report writing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership" }, { "name" : "Flexibility" } ], "majorSkills" : "Recruitment strategy, Market analysis, Stakeholder management, Project management", "majorSkillsList" : [ "Recruitment strategy", "Market analysis", "Stakeholder management", "Project management" ], "coreResponsibilities" : "Lead high-volume hiring programs, Develop and execute staffing strategies, Analyze labor market data, Calculate appropriate hourly wages, Select and negotiate with staffing agencies, Manage recruitment projects, Provide data-driven solutions, Analyze past hiring data, Propose hiring plans, Analyze labor market data for wages, Propose competitive hourly wages, Simulate wage impact on hiring, Propose optimal compensation strategies, Understand stakeholder needs, Share staffing progress, Address challenges promptly, Make data-backed proposals, Create and issue RFPs, Analyze staffing agency proposals, Negotiate with selected agencies, Facilitate necessary staffing, Develop and manage hiring milestones, Predict bottlenecks, Identify risks, Develop mitigation plans, Manage multiple projects concurrently", "teamCollaboration" : "Business partners; Site leaders; Operations teams; PXT teams; HRBPs; Global teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Workforce staffing; New facility launches; Logistics operations; Supply chain", "domainList" : [ "workforce-staffing", "new-facility-launches", "logistics-operations", "supply-chain" ], "domainSpecificKnowledge" : [ "Workforce staffing", "New facility launches", "Logistics operations", "Supply chain" ], "toolProficiency" : [ "Microsoft Excel", "Microsoft Word", "Microsoft SharePoint", "Microsoft PowerPoint" ], "communicationSkills" : "Oral communication; Written communication; Data presentation", "documentationSkills" : "Report writing; Proposal writing", "continuousLearning" : "Internal mobility opportunities", "problemSolvingSkills" : "Problem solving; Data analysis", "specialRequirements" : "Domestic travel required, Temporary increase in workload", "qualificationsBasic" : "Bachelor's degree or 2+ years Amazon experience, Business level Japanese (N1+), Business English oral and written, 5+ years recruiting or HR experience, Microsoft Office Suite knowledge", "qualificationsPreferred" : "Analytical work experience, Policy and document creation experience, Confidential employee information management, Project or program management experience, Master's degree in HR or related, 7+ years HR experience, Logistics/manufacturing/engineering HR experience, Contract and vendor management experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ポジション概要新規物流拠点（FC：フルフィルメントセンター、IXD：インバウンドクロスドック等）の立ち上げにおける大量採用プログラムをリードする意欲のあるLaunch Staffing Leadを募集しています。 Launch Staffing Leadは、新規拠点の開設に向けた人員確保戦略の立案から実行までを一貫してリードします。市場データの分析に基づく採用計画の策定、適正時給の算出、派遣会社の選定・交渉など、立ち上げに必要なプロジェクトマネジメント・採用業務全般を担当します。主要なビジネスパートナー（サイトリーダー、オペレーションチーム、PXTなど）とともに、新規拠点の円滑な立ち上げを実現するために、高いOwnershipを持ち、データドリブンなアプローチで最適な採用計画・ソリューションを提供します。スキルとして、ステークホルダーへのコンサルティング能力、データ分析力、口頭および書面による優れたコミュニケーションスキル、そして新規拠点立ち上げという不確実性の高い環境においても柔軟に対応できる能力が必要となります。主な職務内容市場分析・採用計画立案・新規拠点の所在地域における労働市場を分析し、採用可能人数をデータに基づいて算出・提案する・過去の採用実績データ（類似拠点の立ち上げ事例等）を分析し、採用計画の精度を高める・市場の競合状況、人口動態、労働力供給等のデータを活用し、ステークホルダーに対して根拠のある採用計画を提案する時給・報酬分析・地域の労働市場データを分析し、競争力のある適正時給を算出する・競合他社の報酬水準、地域の最低賃金動向、生活コスト等を考慮した時給提案を行う・時給設定がもたらす採用への影響をシミュレーションし、最適な報酬戦略を提案する地域の労働市場データを分析し、競争力のある適正時給を算出するステークホルダーマネジメント・サイトリーダー、オペレーションチーム、HRBP等のステークホルダーのニーズを深く理解する・定期的な会議を通じて、立ち上げに向けた人員確保の進捗を共有し、課題があれば迅速に対応する・上級レベルのステークホルダーに対してデータに基づいた提案を行い、フィードバックを受け入れ、柔軟に計画を修正する派遣会社選定・ベンダーマネジメント・新規拠点で契約する派遣会社に対して提案依頼（RFP）を作成・発行する・派遣会社からの提案内容を多角的に分析・評価する（価格、供給能力、サービス品質、実績等）・最適な派遣会社を選定し、その根拠をステークホルダーに提案・説明する・選定後の派遣会社との交渉を通じて、必要な人員確保を促進するプロジェクトマネジメント・立ち上げスケジュールに基づき、採用マイルストーンを策定・管理する・ボトルネックの予測、リスクの特定と緩和策の立案を行う・複数の立ち上げプロジェクトを並行して管理する場合もある求められるスキル・資質・データ分析力：市場データ、採用実績データを分析し、論理的な結論を導き出す能力・問題解決力：不確実性の高い環境において、データから最適解を見出し、実行に移す能力・コミュニケーション力：ステークホルダーに対して、複雑なデータ分析結果を分かりやすく伝え、提案する能力・プロジェクトマネジメント力：複数のタスクを同時に管理し、期限内に成果を出す能力・交渉力：派遣会社との交渉において、Amazonにとって最適な条件を引き出す能力・柔軟性：立ち上げ特有の変化や不確実性に対して、柔軟に対応できる能力・PCスキル：Microsoft Office（特にExcel：ピボットテーブル、IF関数、VLOOKUP関数等によるデータ分析、Word：報告書・提案書作成）を日常的に使用・英語力：海外チームとの定期的な会議への参加、レポート作成、メール等で使用する機会があり、海外チームとの連携は業務遂行上重要キャリアパス複数のスタッフィングリードをまとめるマネージャーが最も身近なキャリアパスです。 Amazonでは自分のキャリアは自分で開発するという文化が根付いています。社内公募制も年間を通じて運用されており、様々なキャリアのチャンスが提供されています。備考新規拠点への出張（日帰り・宿泊）が発生します立ち上げフェーズにおいては、業務量が一時的に増加する場合があります A day in the life WFSチームは、メンバーがそれぞれOwnershipを持ちながら互いに協力し合う組織です。Staffing Leadとして、戦略的な計画立案と実務的な実行のバランスを取り、オペレーション部門との定例ミーティングや現場での採用イベントの実施、ベンダーとの関係管理等を行います。採用イベントやステークホルダー会議のため、複数の担当拠点へ出張することがあります（日帰り・宿泊あり）。Microsoft Office（Excel、Word等）を日常的に使用し、英語でグローバルチームとも連携します。 About the team グローバルチームの一員であるワークフォース・スタッフィング（WFS）部門では、お客様中心の視点で業務をOwnershipを持って遂行し、イノベーションを創造できるスタッフィング・リードを募集しています。WFSはFC（Fulfillment Center）、DS（Delivery Station）、SSD（Sub Same Day）、QC（Quick Commerce）など、日本国内の様々な事業部門における人材確保を通じてビジネスとお客様に貢献します。 Basic Qualifications: - 学士号、またはAmazonでの2年以上の実務経験（ブルーバッジ/正社員） - ビジネスレベル以上（N1+）の日本語での会話、読み書き能力 - ビジネス英語での口頭および筆記能力 - 採用または人事関連の実務経験5年以上 - Microsoft Officeアプリケーション（Excel、Word、SharePoint、PowerPoint）の知識 Preferred Qualifications: - 分析業務（聞き取り調査、市場データの分析、分析レポートの作成を含む）の実施経験 - ポリシーおよび関連文書の作成経験 - 機密性の高い従業員情報の管理および厳格な機密保持基準の管理経験 - プロジェクトまたはプログラム管理の経験 - 人事、人事管理、労使関係、経営学、心理学、または関連分野の修士号以上 - 7年以上の人事経験 - 大量物流、製造、またはエンジニアリング環境における輸送またはサプライチェーン業務の経験 - 契約およびベンダー関係の管理と交渉の経験 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" : "WFS Specialist, Workforce Staffing Japan at Amazon Japan G. K.. Skills: Recruitment strategy, Market analysis, Stakeholder management, Project management. Lead high-volume hiring programs. Develop and execute staffing strategies", "postedDate" : "2026-06-13T09:12:03.334", "createdAt" : "2026-06-13T09:12:03.334", "lastUpdated" : "2026-06-15T00:55:54.754", "ingestTimestamp" : "2026-06-13T09:12:03.334", "mongoId" : "6a2176e574d8ee00a0c1b40a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10437300/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Market data analysis", "Recruitment planning", "Hourly wage calculation", "RFP creation", "Excel data analysis", "Report writing", "Ownership", "Flexibility", "Recruitment strategy", "Market analysis", "Stakeholder management", "Project management", "Talent acquisition", "Compensation analysis", "Vendor management", "Problem solving", "Negotiation", "Workforce staffing", "New facility launches", "Logistics operations", "Supply chain", "Microsoft Excel", "Microsoft Word", "Microsoft SharePoint", "Microsoft PowerPoint" ], "skillCount" : 26, "jobCategory" : "human-resources", "dataQualityScore" : 0.8888889, "_score" : 792.0393, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a307af4f292fd229c042348", "title" : "Workforce Manager", "company" : "Tekmetric", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Workforce Manager in the Technology industry in Bulgaria, adjusted for company size and remote work." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T12:40:22.473", "fingerprint" : "362a436f5ad27bc61d94a9d8bfa67388ed20dc0cf3e2a3de9e00ade12dfbf568", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tekmetric/jobs/6026840004", "externalId" : "6026840004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Tekmetric Tekmetric is the all-in-one, cloud-based platform helping auto repair shops run smarter, grow faster, and serve customers better. Built by a shop owner and shaped by the needs of the industry, Tekmetric brings together innovation, real-world experience, and a thriving community to help shops thrive - not just survive. From running a shop, to securing payments to engaging customers, our platform simplifies operations so shop owners can focus on what really matters: delivering exceptional service, earning trust, and growing sustainably. Officially founded in Houston in 2017, Tekmetric has grown from a single shop’s vision to the industry’s leading solution - all by staying true to our values of transparency, integrity, innovation, and a service-first mindset. But we’re not just building software. We’re building a movement. We’re empowering repair shops to rise above the daily grind, create meaningful connections with their customers, and lead the industry forward - one interaction at a time. Come build with us. Join the journey. Shape the future of auto repair. Working the Tekmetric Way At Tekmetric, we’re building a culture where winning matters - not for ego, but because when our customers win, we win together. We move fast, stay curious, and take full ownership of our results — no excuses, no finger-pointing. If you thrive in ambiguity, take initiative, and view honest feedback as fuel for growth, you’ll feel right at home here. We’re direct but respectful, ambitious yet grounded, and collaborative at every level. Everyone leads through impact and is encouraged to speak up, share ideas, and challenge assumptions (even your manager’s). This is a place for builders, not bystanders. Success here takes focus, follow-through, and a willingness to roll up your sleeves — but if you’re driven by meaningful work and real results, it’s deeply rewarding. You’ll join a team that cares about the work, supports one another, and takes smart risks to achieve bold goals. Be yourself, stay mission-focused, and you’ll thrive. If that energizes you, we can’t wait to meet you. At Tekmetric, great work happens anywhere, but great teams are built through intentional connection. We offer hybrid and remote work models based on your proximity to our office hubs. Because we value in-person collaboration, travel is an expected part of every role. We come together several times a year for team and company-wide offsites to align on goals and strengthen relationships. Attendance at these events is expected and fully supported. The hours for this role are 6am-3pm CT / 7am-4pm ET. About the Role We are looking for a Senior Workforce Manager to own the day-to-day execution of workforce management across our voice and chat support channels. This is a senior individual-contributor role focused on forecasting, scheduling, real-time queue and adherence management, and the daily tuning of the systems that keep our support operation running on target. You will turn strategy into execution. Working from the framework and targets set by the Support Operations Manager — to whom this role reports — you will build the forecasts, own the schedules, manage the queues in real time, and make the daily configuration and AI-monitoring adjustments that protect service levels. This role is built for someone who lives in the data and the dashboards, reacts quickly to intraday swings, and takes pride in hitting SLA day after day. What You'll Be Doing: Workforce Management report findings to the Support Operations Manager Support capacity planning efforts for future hiring needs Real-Time Queue & Channel Management Manage live queue performance day to day, within the queue architecture and SLA policies set by the Support Operations Manager Make daily adjustments to Zendesk triggers, automations, views, and macros to optimize ticket flow Manage chat routing and inbox configuration in Intercom to balance agent workloads in real time Apply routing and escalation rules and flag needed changes to the escalation framework Daily AI Performance Monitoring (Intercom Fin) Monitor Fin AI chatbot performance daily against containment, deflection, and CSAT targets Review unresolved and escalated AI conversations to identify gaps and recommend improvements to bot flows and intents Surface daily and weekly trends in AI performance and feed observations back to inform optimization strategy and potential product gaps or enhancements Adjust forecasts as bot performance shifts and flag material changes to the Support Operations Manager Daily Systems Tuning & Reporting Handle daily configuration adjustments across support tools to keep workflows running smoothly Maintain WFM-specific dashboards and reporting on schedule adherence, occupancy, and service levels Track and report on core KPIs including SLA adherence, AHT, occupancy, and AI containment rate Maintain data integrity in scheduling and queue data, escalating systemic issues as needed Process & Collaboration Recommend operational improvements to reduce handle time and improve coverage and deflection Maintain WFM scheduling procedures and operational documentation Partner with Support Managers and team leads to align staffing with coaching and development needs As the function scales, help onboard and mentor future WFM analysts or operations specialists What You'll Bring: Required 4+ years of experience in workforce management or contact center operations Hands-on contact center experience across voice and chat channels Demonstrated ability to build and manage workforce forecasts and schedules Hands-on experience with real-time queue management and intraday adherence Strong proficiency in building dashboards and reports Exceptional analytical skills with comfort working across large datasets in Excel, Google Sheets, or SQL Experience working with AI chat tools and monitoring their performance Strong communication skills with the ability to translate operational data into clear, actionable insights Preferred Hands-on configuration experience with Zendesk (triggers, automations, views, macros) and Intercom (routing, inboxes, Fin) Background in SaaS or technology-sector contact centers Why You'll Love Working With Us Health & Wellness That Have You Covered: Enjoy the flexibility of remote work Competitive base salaries that reflect your value. Generous Paid Time Off, because we know you do your best work when you're well-rested. Support for every stage of life—with paid maternity, parental bonding, and medical leave for you or your loved ones. Comprehensive health benefits, including Medical, Dental, Vision, and Prescription coverage. For employee only, we offer plans that cover 100% of premiums and we cover 50% of costs for families. Prioritizing your mental health: get free, confidential counseling through our partnership with BetterHelp. Investing in Your Future (and Present): 401(k) Retirement Savings Plan with 100% employer match on contributions up to 6% - so your future self will thank you. Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) to make your money go further. Life and Accidental Death & Dismemberment (AD&D) Insurance for added peace of mind. Wellness on your terms: get up to $60/month toward fitness, mental health, or almost anything that helps you feel your best. After one year of employment, enjoy a $300 home office setup bonus to help make your space work for you. Keep growing with support for continuing education - we’re invested in your development. Most importantly, we have a stellar team of coworkers, a really cool office, and lots of fun activities! Tekmetric is an equal opportunity employer. We hire hard-working individuals, regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, or veteran status. We know that when our employees feel appreciated and included, they can be more creative, innovative and successful. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Tekmetric will never ask for your personal financial or banking information or require any financial commitment as part of our candidate search or application process. No job offers will be made without a formal interview process. All legitimate Tekmetric job postings are listed at tekmetric.com/careers. Recruiter communications come from @tekmetric.com email addresses.", "summaryDescription" : "Workforce Manager at Tekmetric", "postedDate" : "2026-06-16T01:20:31.235", "createdAt" : "2026-06-16T01:20:31.235", "lastUpdated" : "2026-06-16T12:40:22.473", "ingestTimestamp" : "2026-06-16T01:20:31.235", "mongoId" : "6a307af4f292fd229c042348", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 775.44586, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69c94a649bc74574cbbb2f21", "title" : "HR Specialist, Workforce Solutions - Relocation", "company" : "Amazon.com Services LLC", "industry" : "Human Resources, pxt", "salary" : { "min" : 80400.0, "max" : 112500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:02:02.548", "fingerprint" : "dd9b6e6261a7d3bf0330dc08711446be821a4cab6c81c04319a9de630b876ea0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3192478/apply", "externalId" : "f131c527-b5ee-4223-8984-06ba6cb313a9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Talent management", "Employee relations", "HR processes", "Organizational development", "Policy interpretation", "Problem-solving", "Program enhancements", "Change management" ], "hardSkillsList" : [ "Assignment management", "Data analysis" ], "softSkillsList" : [ "Self-driven" ], "hardSkills" : [ { "name" : "Assignment management", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Self-driven" } ], "majorSkills" : "Relocation services, Workforce solutions, Employee lifecycle", "majorSkillsList" : [ "Relocation services", "Workforce solutions", "Employee lifecycle" ], "coreResponsibilities" : "Support customer inquiries, Manage complex cases, Oversee assignments, Serve as point of contact, Communicate with business leaders, Ideate program enhancements, Contribute to special projects, Serve as subject matter expert, Design high-impact solutions, Implement strategies, Improve employee experience, Improve stakeholder experience, Provide subject matter expertise, Guide internal partners, Develop communications plans, Develop change management plans, Coordinate with stakeholders", "teamCollaboration" : "Work with stakeholders; Work with team leaders; Cross-functional stakeholders", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Relocation services; Global mobility", "domainList" : [ "relocation-services", "global-mobility" ], "domainSpecificKnowledge" : [ "Relocation services", "Global mobility" ], "toolProficiency" : [ "Microsoft Office" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Policy documentation", "problemSolvingSkills" : "Problem-solving; Analytical thinking", "outcomesObjectives" : "Improve processes; Deliver results", "qualificationsBasic" : "Bachelor's degree or 2+ years Amazon experience, Knowledge of Microsoft Office, Experience in global company, English communication skills, Experience managing confidential information", "qualificationsPreferred" : "Experience developing policies, Experience with data analysis, Experience managing multiple projects", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Shape Amazon's future through our Workforce Solutions - Relocation team! As part of this dynamic organization, you'll be at the forefront of creating innovative relocation experiences and developing impactful, yet lightweight global solutions that are critical to Amazon's growth and customers. In this role, you'll immerse yourself in every facet of the relocation and assignment lifecycle. Your contributions will be integral to crafting robust relocation support and user-friendly products that empower Amazon to excel in attracting the world's top talent. We're seeking a self-driven professional with strong communication skills who can deliver high-quality results in our fast-paced environment. Key job responsibilities * Support customer inquiries by providing clear, accurate solutions while ensuring customer satisfaction * Manage complex cases that require advanced policy interpretation, exceptions, and specialized problem-solving * Oversee assignments from initiation through completion * Serve as primary point of contact for assignees throughout their assignment lifecycle * Communicate with business leaders on assignment questions, logistics, and policy matters * Ideate, propose, and contribute to program enhancements and special projects and serve as subject matter expert for emerging program needs * Design and implement high-impact solutions, strategies, and mechanisms that improve the employee and stakeholder experience * Provide subject matter expertise and guidance to internal partners, fostering a culture of continuous learning and curiosity * Develop communications and change management plans, and coordinate with cross-functional stakeholders on program initiatives A day in the life You will work closely with stakeholders and team leaders to define strategies, customer experiences, and continuous improvements for our program. This includes policies (eligibility, benefits, guardrails), vendor performance, contacts and escalations. You will contribute to and lead initiatives to eliminate manual work and leverage automation and AI to deliver continuous improvement opportunities for our customers. Your ability to balance analytical thinking with practical execution will help drive improvements in our processes and deliver results for our customers. About the team Workforce Solutions (WS) empowers our customers by providing integrated, people-focused solutions that streamline hiring processes for WW Stores, AWS, Devices, and Talent Acquisition. As stewards of the employee lifecycle and experience, we drive initiatives that promote transparency and efficiency in career mobility, workforce engagement, and operational needs management. We prioritize customer-centricity by tailoring our capabilities and processes to align with their preferences and behaviors. Our approach is to start with the customer's needs and match individuals to the right opportunities through our services. Basic Qualifications: - Bachelor's degree, or 2+ years of Amazon (blue badge/FTE) experience - Knowledge of Microsoft Office products and applications - Experience working within a global company, with multi-country responsibilities - Experience using English communication skills, both written and verbal, to foster seamless interaction with stakeholders at all levels - Experience managing confidential and sensitive employee information and adherence to strict confidentiality standards Preferred Qualifications: - Experience developing policies and supporting documentation - Experience demonstrating strong analytical abilities and confidence in the use of data - Experience managing multiple projects and priorities across teams in a fast-paced, deadline-driven environment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 80,400.00 - 112,500.00 USD annually", "summaryDescription" : "HR Specialist, Workforce Solutions - Relocation at Amazon.com Services LLC. Skills: Relocation services, Workforce solutions, Employee lifecycle. Support customer inquiries. Manage complex cases", "postedDate" : "2026-06-13T03:22:28.943", "createdAt" : "2026-06-13T03:22:28.943", "lastUpdated" : "2026-06-15T02:02:02.548", "ingestTimestamp" : "2026-06-13T03:22:28.943", "mongoId" : "69c94a649bc74574cbbb2f21", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3192478/apply", "salaryAnnualMin" : 80400, "salaryAnnualMax" : 112500, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Assignment management", "Data analysis", "Self-driven", "Relocation services", "Workforce solutions", "Employee lifecycle", "Talent management", "Employee relations", "HR processes", "Organizational development", "Policy interpretation", "Problem-solving", "Program enhancements", "Change management", "Project management", "Global mobility", "Microsoft Office" ], "skillCount" : 17, "jobCategory" : "human-resources", "dataQualityScore" : 0.8888889, "_score" : 770.3756, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca59174d8ee00a09b7235", "title" : "Credit Workflow Strategist", "company" : "Octus", "industry" : "FinTech", "salary" : { "min" : 135000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T11:58:05.815", "fingerprint" : "23958a2b385f9112fc2eab78dd1682ecb6ef11ea3bd4f6a352266f7915cd4ea0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/octus/jobs/5162560007", "externalId" : "5162560007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "AI, LLM", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Workflow intelligence", "Domain expertise", "Client advising", "Financial process mapping", "AI platform integration", "Product enhancement translation" ], "hardSkillsList" : [ "Credit analysis", "Document research", "Prompt optimization", "Workflow automation" ], "softSkillsList" : [ "Interpersonal skills", "Verbal communication", "Written communication" ], "hardSkills" : [ { "name" : "Credit analysis", "level" : "intermediate" }, { "name" : "Document research", "level" : "intermediate" }, { "name" : "Prompt optimization", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Interpersonal skills" }, { "name" : "Verbal communication" }, { "name" : "Written communication" } ], "majorSkills" : "Credit workflow strategy, AI product suite, Leveraged finance markets", "majorSkillsList" : [ "Credit workflow strategy", "AI product suite", "Leveraged finance markets" ], "coreResponsibilities" : "Codify LevFin workflow intelligence, Scale solutions knowledge, Expand solutions knowledge, Act as client-facing domain expert, Build relationships, Solve complex problems, Investigate financial processes, Map financial processes, Embed AI platform, Apply AI tools, Apply LLM tools, Prototype workflows, Test workflows, Design tailored workflows, Optimize credit analysis, Optimize research, Coordinate with product teams, Coordinate with engineering teams, Translate client feedback, Develop platform enhancements, Develop product features", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams", "domainKnowledge" : "Leveraged finance; Credit markets; Credit agreements; Debt structures; Covenants", "domainList" : [ "leveraged-finance", "credit-markets", "credit-agreements", "debt-structures", "covenants" ], "domainSpecificKnowledge" : [ "Leveraged finance", "Credit markets", "Credit agreements", "Debt structures", "Covenants" ], "toolProficiency" : [ "AI tools", "LLM tools" ], "communicationSkills" : "Verbal communication; Written communication", "problemSolvingSkills" : "Solve complex problems; Optimize manual analysis; Optimize research", "qualificationsBasic" : "Experience in leveraged finance credit markets, Client-facing experience, Ability to prioritize and respond, Navigate ambiguity, Manage multiple workstreams", "qualificationsPreferred" : "Experience working with product teams, Experience working with data teams, Experience working with engineering teams", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Octus Octus is a leading global provider of credit intelligence, data, and analytics. Since 2013, tens of thousands of professionals across hedge fund, investment banking, management consulting, and law firm verticals have come to rely on Octus to make better, faster, and more confident decisions in pace with the fast-moving credit markets. For more information, visit: https://octus.com/ Working at Octus Octus hires growth-minded innovators and trailblazers across the globe to drive our business and culture. Our core values – Action Oriented, Customer First Mindset, Effective Team Players, and Driven to Excel – define an organizational ethos that’s as high-performing as it is human. Among other perks, Octus employees enjoy competitive health benefits, matched 401k and pension plans, PTO, generous parental leave, gym subsidies, educational reimbursements for career development, recognition programs, pet-friendly offices (US only), and much more. Role Our Direct Data Services team sits at the hyper-growth intersection of product innovation, domain strategy, and direct client impact. Currently, our Head of Direct Data Services is the primary anchor for credit analyst expertise. We are seeking a Credit Workflow Strategist to partner with him to institutionalize, scale, and expand this deep workflow knowledge across our broader team and our AI product suite. In this role, you will be deeply embedded in the complex day-to-day workflows of our clients—specifically within the leveraged finance (LevFin) credit markets—and tasked with translating those intricate analytical needs into robust, AI- and data-driven solutions. Our team is based in our New York City office, and operates on a hybrid, 3 days/week schedule. Credit Workflow Strategist responsibilities Partner with the Head of Direct Data Services to codify LevFin workflow intelligence, scaling and expanding solutions knowledge across the broader internal team and product suite Act as a client-facing domain expert and trusted advisor to build relationships and solve complex problems for buyside, sellside, and advisory accounts Investigate and map our users' complex financial processes (e.g., credit agreements, debt structures, and covenants) to embed Octus's AI platform seamlessly into their daily workflows Apply advanced AI and LLM tools to prototype, test, and design tailored workflows that optimize manual credit analysis and document-heavy research for our clients Coordinate with Octus’ product and engineering teams to translate real-world client feedback into platform enhancements and product features What we look for Experience in the leveraged finance credit markets, either on the buyside (credit funds, direct lending, asset management), investment banking, or credit advisory side High proficiency and comfort with leading AI tools and LLMs, with a strong interest in prompt optimization and workflow automation Strong desire to be client-facing, with a proven ability to build partnerships and solve highly complex operational problems for institutional clients Organized, detail-oriented with the ability to prioritize and respond quickly; ability to navigate ambiguity and manage multiple ongoing workstreams Excellent interpersonal, verbal and written communication skills Experience working directly with product, data, or engineering teams is a plus At Octus, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth. The salary range estimate for this position is $135,000-$175,000. The actual compensation will be at Octus’ sole discretion and will be determined by the aforementioned and other relevant factors. This position is eligible for a performance-based annual bonus. Equal Employment Opportunity Octus is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, pregnancy, veteran status, or any other legally protected status. We strive to create an inclusive and diverse work environment where all individuals are valued, respected, and treated fairly. We believe that diversity enriches our workplace and enhances our ability to innovate and succeed.", "summaryDescription" : "Credit Workflow Strategist at Octus. Skills: Credit workflow strategy, AI product suite, Leveraged finance markets. Codify LevFin workflow intelligence. Scale solutions knowledge", "postedDate" : "2026-06-14T01:58:41.080", "createdAt" : "2026-06-14T01:58:41.080", "lastUpdated" : "2026-06-15T11:58:05.815", "ingestTimestamp" : "2026-06-14T01:58:41.080", "mongoId" : "6a2ca59174d8ee00a09b7235", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Credit analysis", "Document research", "Prompt optimization", "Workflow automation", "Interpersonal skills", "Verbal communication", "Written communication", "Credit workflow strategy", "AI product suite", "Leveraged finance markets", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Workflow intelligence", "Domain expertise", "Client advising", "Financial process mapping", "AI platform integration", "Product enhancement translation", "Leveraged finance", "Credit markets", "Credit agreements", "Debt structures", "Covenants", "AI tools", "LLM tools" ], "skillCount" : 27, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 770.25934, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.92 }, { "id" : "69fababa4c40e2acd17b1205", "title" : "Integration Developer", "company" : "SD Solutions", "industry" : "Technology", "salary" : { "min" : 95000.0, "max" : 145000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Integration Developer in Bucharest, Romania, adjusted for the Technology industry and a mid-sized company." }, "location" : "Bucharest, RO", "locations" : [ "Bucharest", "RO", "Belgrad", "RS", "Tbilisi", "GE" ], "timestamp" : "2026-06-15T21:58:14.489", "fingerprint" : "86c61ba1495b00102102fb8157b0449d46391e38a7379659f0ccbd03d11d160a", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://sd-solutions.breezy.hr/p/9ea8cf8a290501-moonshot-integration-developer", "externalId" : "9ea8cf8a290501", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bucharest", "country" : "Romania", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "44.4361414,26.1026840" } ], "locationText" : "Bucharest, Romania", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, APIs, Webhooks, Data pipelines", "professionalSkills" : [ "Data integration", "Service design" ], "hardSkillsList" : [ "Data integration", "API development", "Webhook implementation" ], "hardSkills" : [ { "name" : "Data integration", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Webhook implementation", "level" : "intermediate" } ], "majorSkills" : "Integration Development, Data Integration, API Design", "majorSkillsList" : [ "Integration Development", "Data Integration", "API Design" ], "coreResponsibilities" : "Design data integrations, Build data integrations, Optimize data integrations, Design services, Build services, Optimize services, Take ownership of third-party integrations", "domainKnowledge" : "Data-driven decision-making", "domainList" : [ "data-driven-decision-making" ], "domainSpecificKnowledge" : [ "Data-driven decision-making" ], "outcomesObjectives" : "Power data-driven decision-making", "qualificationsBasic" : "5+ years Python, Experience with APIs, Experience with webhooks, Experience with data pipelines", "rawDescription" : "On behalf of Moonshot, SD Solutions is looking for a talented Integration Developer to design, build, and optimize scalable data integrations and services that power data-driven decision-making across the company. You’ll take full ownership of third-party integrations APIs, webhooks, and data pipel", "summaryDescription" : "Integration Developer at SD Solutions. Skills: Integration Development, Data Integration, API Design. Design data integrations. Build data integrations", "createdAt" : "2026-06-14T18:53:22.209", "lastUpdated" : "2026-06-15T21:58:14.489", "ingestTimestamp" : "2026-06-14T18:53:22.209", "mongoId" : "69fababa4c40e2acd17b1205", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data integration", "API development", "Webhook implementation", "Integration Development", "Data Integration", "API Design", "Service design", "Data-driven decision-making" ], "skillCount" : 8, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 768.8747, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176d974d8ee00a0c1b1ce", "title" : "Machine Learning Software Development Engineer, AI Ops Integration", "company" : "Amazon EU SARL, Irish Branch", "industry" : "Software Development, operations", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Machine Learning Software Development Engineer in Dublin, Ireland, adjusted for company size and industry." }, "location" : "Dublin, IRL", "locations" : [ "Dublin, IRL" ], "timestamp" : "2026-06-15T01:03:48.864", "fingerprint" : "59e5065f3f7b9abea9aaa6215f570ba0773b67665a3533629a754e8824a5c77b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438030/apply", "externalId" : "5bcefccd-0d8a-461b-b8d0-72485aaed54e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dublin", "country" : "Ireland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "53.3493795,-6.2605593" } ], "locationText" : "Dublin, Ireland", "employmentType" : "FULL_TIME", "technicalSkills" : "Machine Learning, LLM, AI, Data pipelines, Model serving, APIs, Databases, AWS, S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, EC2, vLLM, SGLang, TensorRT, Deep learning, NLP, Computer vision, Data science", "professionalSkills" : [ "System design", "MLOps", "AI Ops Integration", "Supply Chain", "Operations" ], "hardSkillsList" : [ "Machine learning", "Data mining", "Information retrieval", "Statistics", "Natural language processing", "Software development", "System design", "System architecture", "Model execution optimization" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Information retrieval", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Natural language processing", "level" : "intermediate" }, { "name" : "Software development", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "System architecture", "level" : "intermediate" }, { "name" : "Model execution optimization", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, LLM, AI Ops, Software Development", "majorSkillsList" : [ "Machine Learning", "LLM", "AI Ops", "Software Development" ], "coreResponsibilities" : "Build ML/LLM-powered features, Deploy ML/LLM-powered features, Implement AI agent components, Automate operational workflows, Develop internal front-end applications, Make AI outputs accessible, Build integrations across internal APIs, Build integrations across databases, Build integrations across MCP servers, Enable multi-system orchestration, Contribute to ML lifecycle, Implement guardrails for AI systems, Implement evaluation frameworks for AI systems, Implement human-in-the-loop patterns, Collaborate with operations teams, Collaborate with program managers, Collaborate with product managers, Collaborate with scientists, Translate requirements into software, Research state-of-the-art tools, Tackle highly ambiguous problems", "teamCollaboration" : "Cross-functional team; Operations partners; Scientists; Program managers; Product managers", "projectManagementSkills" : [ "Build-measure-learn cycle" ], "domainKnowledge" : "AI-Native organization; Operations; Supply Chain; Predictive analytics; Autonomous AI agents; Agentic architectures; MLOps; Model execution", "domainList" : [ "ai-native-organization", "operations", "supply-chain", "predictive-analytics", "autonomous-ai-agents", "agentic-architectures", "mlops", "model-execution" ], "domainSpecificKnowledge" : [ "AI-Native organization", "Operations", "Supply Chain", "Predictive analytics", "Autonomous AI agents", "Agentic architectures", "MLOps", "Model execution" ], "toolProficiency" : [ "vLLM", "SGLang", "TensorRT", "AWS", "S3", "Redshift", "Sagemaker", "EMR", "Kinesis", "Lambda", "EC2" ], "communicationSkills" : "Communicating across audiences", "continuousLearning" : "Research tools", "innovationCreativity" : "Curiosity; Invent; Simplify; Build", "problemSolvingSkills" : "Solve operational challenges; Deal with ambiguity", "outcomesObjectives" : "Transform operations into AI-Native; Deliver AI solutions; Solve operational challenges; Automate decision-making; Solve impactful problems; Influence how Amazon Operations leverages AI", "qualificationsBasic" : "Bachelor's degree or equivalent, Experience in machine learning, Experience in data mining, Experience in information retrieval, Experience in statistics, Experience in natural language processing, Experience in professional software development, Experience designing systems, Experience architecting systems, Experience programming with at least one software programming language", "qualificationsPreferred" : "Experience with full software development life cycle, Experience working with AI systems, Experience evaluating AI systems, Experience with Machine Learning fundamentals, Experience with Large Language Model fundamentals, Experience with vLLM, Experience with SGLang, Experience with TensorRT, Experience in machine learning, Experience in statistics, Experience in deep learning, Experience in natural language processing, Experience in information retrieval, Experience with feature delivery, Experience with operations, Experience with supply chain, Bachelor's degree in computer science, Bachelor's degree in mathematics, Bachelor's degree in statistics, Bachelor's degree in machine learning, Bachelor's degree in quantitative field, Experience with AWS services, Experience in IT platform implementation, Experience researching machine learning, Experience researching deep learning, Experience researching NLP, Experience researching computer vision, Experience researching data science, Experience communicating across technical audiences, Experience communicating across non-technical audiences, Experience communicating with executive level stakeholders, Experience communicating with clients, Experience using data to measure impact, Experience using metrics to measure impact, Experience using data to determine improvements, Experience using metrics to determine improvements", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As part of AI Operations Integration, we have a vision to transform Amazon Operations & Supply Chain into an AI-Native organization by delivering intuitive and differentiated AI solutions that solve enduring operational challenges. We blend vision with curiosity and Amazon's real-world experience to build rapidly AI capabilities. We accelerate our customers' businesses: internal operations teams across Amazon's global footprint through delivery of predictive analytics, LLMs and autonomous AI agents to automate decision-making across Amazon's global operations and supply chain. As a Machine Learning Software Development Engineer, you'll design and deploy production ready systems that combine traditional ML with modern agentic architectures to solve impactful operational problems at scale. This role combines the excitement of a startup environment with the scale of Amazon Operations. You'll research state-of-the-art open source and internal tools and will tackle highly ambiguous problems. If you thrive on ownership and dealing with ambiguity, passionate about AI and want to fundamentally influence how Amazon Operations leverages AI, this role offers an extraordinary opportunity to make your mark. Key job responsibilities What you'll do: • Build and deploy ML/LLM-powered features across the full stack - from data pipelines and model serving to user-facing internal tools • Implement AI agent components that automate complex operational workflows across multiple systems and decision points • Develop internal front-end applications (dashboards, tools, products) that make AI outputs accessible to non-technical operations users at scale • Build integrations across internal APIs, databases, and MCP servers to enable multi-system orchestration • Contribute to the ML lifecycle: data pipelines, experimentation, deployment, monitoring, and evaluation • Implement guardrails, evaluation frameworks, and human-in-the-loop patterns for production AI systems • Collaborate with operations teams, program/product and scientists to translate requirements into shipped software The ideal candidates are engineers who've shipped ML/LLM systems to production, understand the practical challenges of MLOps, and want to work on problems where the impact is measurable in both customer experience and operational efficiency. About the team We're a cross-functional team of machine learning engineers, ML & AI scientists and Technical PM focused on automating operational decisions in Amazon's supply chain. Our charter is to identify high-impact automation opportunities, build AI agents that can handle them reliably, and deploy these systems into production where they process real decisions daily. The team operates with a build-measure-learn cycle. We work closely with operations partners to understand their problems, prototype solutions quickly, measure impact rigorously, and iterate based on real-world performance. Basic Qualifications: - Bachelor's degree or equivalent - Experience in machine learning, data mining, information retrieval, statistics or natural language processing - Experience (non-internship) in professional software development - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems - Experience programming with at least one software programming language Preferred Qualifications: - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations - Experience working with or evaluating AI systems - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience with vLLM, SGLang, TensorRT or similar platforms in production environments - Experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, or information retrieval - Experience with feature delivery and tradeoffs of a product - Experience with operations/supply chain - Bachelor's degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field, or experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 - Experience in IT platform implementation in a technical and analytical role - Experience researching about machine learning, deep learning, NLP, computer vision, data science - Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients - Experience using data and metrics to measure impact and determine improvements Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Machine Learning Software Development Engineer, AI Ops Integration at Amazon EU SARL, Irish Branch. Skills: Machine Learning, LLM, AI Ops, Software Development. Build ML/LLM-powered features. Deploy ML/LLM-powered features", "postedDate" : "2026-06-13T08:00:55.201", "createdAt" : "2026-06-13T08:00:55.201", "lastUpdated" : "2026-06-15T01:03:48.864", "ingestTimestamp" : "2026-06-13T08:00:55.201", "mongoId" : "6a2176d974d8ee00a0c1b1ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438030/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Machine learning", "Data mining", "Information retrieval", "Statistics", "Natural language processing", "Software development", "System design", "System architecture", "Model execution optimization", "Machine Learning", "LLM", "AI Ops", "Software Development", "MLOps", "AI Ops Integration", "Supply Chain", "Operations", "Build-measure-learn cycle", "AI-Native organization", "Predictive analytics", "Autonomous AI agents", "Agentic architectures", "Model execution", "vLLM", "SGLang", "TensorRT", "AWS", "S3", "Redshift", "Sagemaker", "EMR", "Kinesis", "Lambda", "EC2" ], "skillCount" : 34, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 767.4227, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2a67ef74d8ee00a063203a", "title" : "AI Implementation Specialist", "company" : "Linda Werner & Associates", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Implementation Specialist in India, adjusted for mid-seniority and contract employment type." }, "location" : "LWA", "locations" : [ "LWA" ], "timestamp" : "2026-06-13T16:47:07.274", "fingerprint" : "69cd5881f3a4bedfed4c013760ffd93a228a35390686e272bb7c449ae28cd396", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lindawernerassociates/jobs/5254498008", "externalId" : "5254498008", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "technicalSkills" : "AI, JSON, YAML, Markdown, Python", "professionalSkills" : [ "Solution design", "System optimization", "Workflow design" ], "hardSkillsList" : [ "AI implementation", "Agent capabilities", "Context frameworks", "Workflow orchestration", "Prompt engineering", "Large language models", "Structured files" ], "softSkillsList" : [ "Attention to detail" ], "hardSkills" : [ { "name" : "AI implementation", "level" : "intermediate" }, { "name" : "Agent capabilities", "level" : "intermediate" }, { "name" : "Context frameworks", "level" : "intermediate" }, { "name" : "Workflow orchestration", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Large language models", "level" : "intermediate" }, { "name" : "Structured files", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Attention to detail" } ], "majorSkills" : "AI Implementation, Agent Development, Workflow Automation", "majorSkillsList" : [ "AI Implementation", "Agent Development", "Workflow Automation" ], "coreResponsibilities" : "Design AI powered solutions, Build AI powered solutions, Automate business workflows, Automate operational workflows, Translate requirements, Iterate on solutions, Build modular AI agent skills, Perform specific tasks, Maintain reusable capabilities, Improve reusable capabilities, Ensure consistency, Ensure reliability, Create structured context files, Maintain structured context files, Develop documentation, Manage documentation, Ensure information remains current, Ensure information remains structured, Connect AI skills, Design logic for skill interaction, Identify automation opportunities, Reduce manual effort, Define acceptance criteria, Test outputs for accuracy, Test outputs for consistency, Test outputs for reliability, Document skills, Document context structures, Document workflow patterns, Create reusable standards, Create reusable templates, Share knowledge, Work with stakeholders, Identify opportunities for automation, Translate operational needs, Communicate progress, Communicate risks, Communicate recommendations", "teamCollaboration" : "Work with stakeholders; Support team understanding", "projectManagementSkills" : [ "Manage multiple priorities", "Deliver across workstreams" ], "domainKnowledge" : "Applied artificial intelligence; Practical automation; AI agent behavior; AI agent accuracy; Operational guidance; System understanding", "domainList" : [ "applied-artificial-intelligence", "practical-automation", "ai-agent-behavior", "ai-agent-accuracy", "operational-guidance", "system-understanding" ], "domainSpecificKnowledge" : [ "Applied artificial intelligence", "Practical automation", "AI agent behavior", "AI agent accuracy", "Operational guidance", "System understanding" ], "communicationSkills" : "Written communication; Verbal communication; Communicate progress; Communicate risks; Communicate recommendations", "documentationSkills" : "Develop documentation; Manage documentation; Document skills; Document context structures; Document workflow patterns; Create standards; Create templates", "continuousLearning" : "Ramp quickly on new systems; Ramp quickly on new tools", "problemSolvingSkills" : "Problem solving skills; Troubleshoot solutions", "outcomesObjectives" : "Improve efficiency; Quality of AI solutions; Reliability of AI solutions; Maintainability of AI solutions; Adoption of AI solutions", "qualificationsBasic" : "Experience building AI solutions, Experience with prompt engineering, Experience with large language model systems, Ability to create structured files, Ability to maintain structured files, Problem solving skills, Builder mindset, Ability to manage multiple priorities, Deliver across concurrent workstreams, Written communication skills, Verbal communication skills, Ability to work independently, Work in fast moving environments", "qualificationsPreferred" : "Experience with Python, Experience with AI agent frameworks, Experience with orchestration tools, Familiarity with command line tools, Familiarity with terminal based workflows, Experience working in large technology environments", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Overview We are seeking an AI Implementation Specialist to design, build, and deploy AI powered solutions that automate operational workflows and improve efficiency. This role focuses on developing AI agent capabilities, creating structured context frameworks, and enabling orchestration of skills across multiple workflows. This position blends solution design, hands on implementation, and system optimization. The ideal candidate is highly technical, highly organized, and comfortable building in fast moving environments where clarity is created through execution. Success in this role is measured by the quality, reliability, maintainability, and adoption of AI solutions delivered. Key Responsibilities AI Solution Development • Design and build AI powered solutions that automate business and operational workflows • Translate requirements into functional AI implementations • Iterate on solutions based on performance, feedback, and evolving needs AI Skill Development • Build modular AI agent skills that perform specific tasks within workflows • Maintain and improve reusable capabilities that can be applied across multiple use cases • Ensure consistency and reliability of skill performance Context Framework Development • Create and maintain structured context files that support AI agent behavior and accuracy • Develop and manage documentation that provides operational guidance and system understanding • Ensure information used by AI systems remains current and structured Orchestration and Workflow Design • Connect multiple AI skills into coordinated workflows that solve complex tasks • Design logic for how skills interact and pass information between steps • Identify opportunities to improve automation and reduce manual effort Testing and Validation • Define acceptance criteria for AI solutions • Test outputs for accuracy, consistency, and reliability • Troubleshoot and refine solutions to meet performance expectations Documentation and Enablement • Document skills, context structures, and workflow patterns • Create reusable standards and templates to support adoption • Share knowledge to support team understanding and usage Collaboration and Discovery • Work with stakeholders to identify opportunities for automation • Translate operational needs into structured AI solutions • Communicate progress, risks, and recommendations clearly Required Qualifications • Experience building AI solutions, automations, or agent based systems • Experience with prompt engineering and large language model systems • Ability to create and maintain structured files such as JSON, YAML, and Markdown • Strong problem solving skills and a builder mindset • Ability to manage multiple priorities and deliver across concurrent workstreams • Strong written and verbal communication skills • Ability to work independently in fast moving environments Preferred Qualifications • Experience with Python • Experience with AI agent frameworks or orchestration tools • Familiarity with command line tools and terminal based workflows • Experience working in large technology environments Ideal Candidate Profile • Strong interest in applied artificial intelligence and practical automation • Comfortable working through ambiguity and defining structure through execution • High attention to detail and commitment to quality output • Strong ability to connect technical solutions with operational needs • Self directed and able to ramp quickly on new systems and tools Location: Remote Role type: Contract 6 Month Position Expected hours: 40 per week Benefits: Dental insurance Health insurance Health savings account Life insurance Paid time off Retirement plan Vision insurance Schedule: 8 hour shift Monday to Friday Application Question(s): Do you or will you in the future require any sponsorship to work in the US? Language: English (Required)", "summaryDescription" : "AI Implementation Specialist at Linda Werner & Associates. Skills: AI Implementation, Agent Development, Workflow Automation. Design AI powered solutions. Build AI powered solutions", "postedDate" : "2026-06-11T20:33:41.239", "createdAt" : "2026-06-11T20:33:41.239", "lastUpdated" : "2026-06-13T16:47:07.274", "ingestTimestamp" : "2026-06-11T20:33:41.239", "mongoId" : "6a2a67ef74d8ee00a063203a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "AI implementation", "Agent capabilities", "Context frameworks", "Workflow orchestration", "Prompt engineering", "Large language models", "Structured files", "Attention to detail", "AI Implementation", "Agent Development", "Workflow Automation", "Solution design", "System optimization", "Workflow design", "Manage multiple priorities", "Deliver across workstreams", "Applied artificial intelligence", "Practical automation", "AI agent behavior", "AI agent accuracy", "Operational guidance", "System understanding" ], "skillCount" : 22, "jobCategory" : "other", "jobSubcategory" : "recruiting", "dataQualityScore" : 0.8888889, "_score" : 766.0466, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2c6ace74d8ee00a090e135", "title" : "AI Annotation Specialist", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 35000.0, "max" : 50000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Entry-level AI Annotation Specialists in the US, adjusted for part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-15T21:25:40.257", "fingerprint" : "11337ac1370825ef83977315c3b15a22a59adfd7c158f493a190fdf7478820b6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4232730009", "externalId" : "4232730009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "High School", "majorSkills" : "Data Annotation, AI Development, LLM", "majorSkillsList" : [ "Data Annotation", "AI Development", "LLM" ], "coreResponsibilities" : "Rate/assess AI model performance, Label content elements, Assign predefined categories or labels, Evaluate content quality/appropriateness, Generate labels for concept understanding, Create training data by applying transformations, Review data to identify feature functionality, Label model outputs, Order or rank items based on criteria, Create prompts for AI systems, Evaluate content relevance, Generate responses to prompts, Rewrite existing text, Produce concise summaries, Convert spoken language to text, Convert text from one language to another, Gather and compile data for AI models", "domainKnowledge" : "Generative AI; Large Language Models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models" ], "qualificationsBasic" : "High School Diploma or higher, Professional or Expert level proficiency (C1/C2) in English", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Data Annotators to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A High School Diploma or higher is required. Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $9 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "AI Annotation Specialist at Innodata Inc.. Skills: Data Annotation, AI Development, LLM. Rate/assess AI model performance. Label content elements", "postedDate" : "2026-06-14T19:15:23.902", "createdAt" : "2026-06-14T19:15:23.902", "lastUpdated" : "2026-06-15T21:25:40.257", "ingestTimestamp" : "2026-06-14T19:15:23.902", "mongoId" : "6a2c6ace74d8ee00a090e135", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 35000, "salaryAnnualMax" : 50000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data Annotation", "AI Development", "LLM", "Generative AI", "Large Language Models" ], "skillCount" : 5, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 761.2287, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c90ff74d8ee00a0981b68", "title" : "Founding AI Native Lead", "company" : "RoboForce", "industry" : "Technology", "salary" : { "min" : 250000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead AI Native position in Milpitas, California, adjusted for the technology industry and a startup company size." }, "location" : "Milpitas, California, United States", "locations" : [ "Milpitas", "California", "United States" ], "timestamp" : "2026-06-16T04:13:49.395", "fingerprint" : "9ed0f53e4e9decd9c02d74c0ae21992292ebed88d27ae705492a114fd0bf55d0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/roboforce/jobs/5255989008", "externalId" : "5255989008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milpitas", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4332273,-121.8989248" } ], "locationText" : "Milpitas, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 8, "experienceLevel" : "Lead", "technicalSkills" : "APIs, Scripting, LLM tools, Agent frameworks, Integrations, Internal automation", "professionalSkills" : [ "Cross-functional execution", "Product judgment", "System design" ], "majorSkills" : "AI Native, Workflow automation, Agent development", "majorSkillsList" : [ "AI Native", "Workflow automation", "Agent development" ], "coreResponsibilities" : "Build RoboForce’s internal AI-native operating system, Prototype AI solutions quickly, Measure AI impact, Scale AI solutions, Drive AI agent adoption, Embed AI into daily workflows, Lead AI Champion network, Capture AI-native practices, Spread AI-native practices, Operationalize AI-native practices, Define company-wide standards for tools, Define standards for cost, Define standards for security, Define standards for model routing, Define standards for context management, Define standards for human approval thresholds, Partner with engineering on connectors, Partner with IT on connectors, Partner with engineering on permissions, Partner with IT on permissions, Partner with engineering on local model hosting, Partner with IT on local model hosting, Partner with engineering on monitoring, Partner with IT on monitoring, Partner with engineering on secure deployment, Partner with IT on secure deployment, Turn ambiguous AI-native priorities into clear systems, Turn ambiguous AI-native priorities into owners, Turn ambiguous AI-native priorities into workflows, Turn ambiguous AI-native priorities into execution rhythms", "teamCollaboration" : "World-class AI experts; Robotics experts; Engineering; IT; Software teams; Hardware teams; Marketing teams; Operations teams; Recruiting teams; BD teams; AI teams", "domainKnowledge" : "Physical AI; Robotics; Deep tech", "domainList" : [ "physical-ai", "robotics", "deep-tech" ], "domainSpecificKnowledge" : [ "Physical AI", "Robotics", "Deep tech" ], "toolProficiency" : [ "Claude Code", "Codex", "OpenClaw", "Hermes Agent", "Cursor" ], "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "In-Office Collaboration", "outcomesObjectives" : "Make RoboForce faster; Make RoboForce sharper; Make RoboForce more scalable; Make the entire company AI-native", "qualificationsBasic" : "5–8+ years across product, engineering, AI workflows, founder office, or Chief of Staff roles, Daily AI power user with hands-on experience using Claude Code, Codex, OpenClaw, Hermes Agent, or equivalent tools, Technical fluency with APIs, scripting, LLM tools, agent frameworks, integrations, and internal automation, Cross-functional execution across technical and non-technical teams, Builder mindset: vague problem → working prototype → real adoption, Sharp product judgment on when to use a prompt, bot, script, SOP, workflow, dashboard, or no tool, High judgment with sensitive company context, ambiguity, and fast-moving priorities", "qualificationsPreferred" : "Experience with Claude Code, Codex, Cursor, agent frameworks, LLM routing, or local model hosting, Ex-founder or direct founder-office experience in a high-growth startup, Experience building a function, system, or operating cadence from zero, Background in AI, robotics, hardware, deep tech, or technically complex domains", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. We are not just building AI robots. We are building an AI-native company. We are hiring a Founding AI Native Lead, reporting directly to the co-founder and working closely with world-class AI and robotics experts across the company. This is a founding builder-operator role focused on turning AI from scattered experiments into company-wide leverage. You will build workflows, agents, automations, playbooks, and internal systems that make RoboForce faster, sharper, and more scalable. You are helping make the entire company AI-native. Responsibilities RoboForce AI-Native Operating System — Build RoboForce’s internal AI-native operating system, including agents, automations, workflows, templates, and internal tools, from prototype to production. High-Leverage Opportunities — Identify where AI can create 3× leverage across the company. Prototype quickly, measure impact, scale what works, and kill what doesn’ t. Workflow Adoption — Drive AI agent adoption across AI, software, hardware, marketing, operations, recruiting, BD, and more by embedding AI into daily workflows. AI-native Champion Program — Lead the cross-functional AI Champion network to capture, spread, and operationalize the best AI-native practices across teams. AI Agent Usage Standards — Define company-wide standards for tools, cost, security, model routing, context management, and human approval thresholds. AI-Native Infrastructure — Partner with engineering and IT on connectors, permissions, local model hosting, monitoring, and secure deployment. Technical Chief of Staff Execution — Turn ambiguous AI-native priorities into clear systems, owners, workflows, and execution rhythms. In-Office Collaboration — Work in-office 5 days a week to enable high-bandwidth collaboration, rapid iteration, and direct access to teams. Requirements 5–8+ years across product, engineering, AI workflows, founder office, or Chief of Staff roles. Daily AI power user with hands-on experience using Claude Code, Codex, OpenClaw, Hermes Agent, or equivalent tools. Technical fluency with APIs, scripting, LLM tools, agent frameworks, integrations, and internal automation. Strong cross-functional execution across technical and non-technical teams. Builder mindset: vague problem → working prototype → real adoption. Sharp product judgment on when to use a prompt, bot, script, SOP, workflow, dashboard, or no tool. High judgment with sensitive company context, ambiguity, and fast-moving priorities. Bonus Qualifications Experience with Claude Code, Codex, Cursor, agent frameworks, LLM routing, or local model hosting. Ex-founder or direct founder-office experience in a high-growth startup. Experience building a function, system, or operating cadence from zero. Background in AI, robotics, hardware, deep tech, or technically complex domains. Benefits Competitive stock options/equity programs. Health, dental, and vision insurance, 401(k) plan. Visa sponsorship and green card support for qualified candidates. Lunches and dinners, a fully stocked kitchen, and regular team-building events.", "summaryDescription" : "Founding AI Native Lead at RoboForce. Skills: AI Native, Workflow automation, Agent development. Build RoboForce’s internal AI-native operating system. Prototype AI solutions quickly", "postedDate" : "2026-06-14T18:33:53.112", "createdAt" : "2026-06-14T18:33:53.112", "lastUpdated" : "2026-06-16T04:13:49.395", "ingestTimestamp" : "2026-06-14T18:33:53.112", "mongoId" : "6a2c90ff74d8ee00a0981b68", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "AI Native", "Workflow automation", "Agent development", "Cross-functional execution", "Product judgment", "System design", "Physical AI", "Robotics", "Deep tech", "Claude Code", "Codex", "OpenClaw", "Hermes Agent", "Cursor" ], "skillCount" : 14, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 761.0677, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c6ace74d8ee00a090e13f", "title" : "AI Content Specialist", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level AI Content Specialist in the US Technology industry, adjusted for part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-16T02:42:51.421", "fingerprint" : "e3ca36c4176473a7833fc9a1268ad3987a42818254f7837f4bc2a4da9f6acc11", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4266649009", "externalId" : "4266649009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "AI, Generative AI, Large Language Models, LLMs", "professionalSkills" : [ "Data engineering", "Evaluation frameworks", "Human expertise" ], "hardSkillsList" : [ "Content labeling", "Data transformation", "Content evaluation", "Data gathering", "Data compilation", "Text summarization", "Language translation", "Content generation" ], "hardSkills" : [ { "name" : "Content labeling", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Content evaluation", "level" : "intermediate" }, { "name" : "Data gathering", "level" : "intermediate" }, { "name" : "Data compilation", "level" : "intermediate" }, { "name" : "Text summarization", "level" : "intermediate" }, { "name" : "Language translation", "level" : "intermediate" }, { "name" : "Content generation", "level" : "intermediate" } ], "majorSkills" : "Generative AI, LLM development, Content evaluation", "majorSkillsList" : [ "Generative AI", "LLM development", "Content evaluation" ], "coreResponsibilities" : "Rate/assess AI model performance, Label content elements, Assign predefined categories, Evaluate content quality, Evaluate content appropriateness, Generate labels for concepts, Create training data, Apply data transformations, Modify images, Generate new text, Alter audio/video signals, Review data, Identify product feature function, Label model outputs, Identify content type, Order or rank items, Create prompts for AI, Generate responses from AI, Rewrite existing text, Produce concise summaries, Convert spoken language to text, Convert text from one language to another, Gather data for AI models, Compile data for AI models", "domainKnowledge" : "Generative AI; Large Language Models; AI systems", "domainList" : [ "generative-ai", "large-language-models", "ai-systems" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "AI systems" ], "problemSolvingSkills" : "Reasoning", "qualificationsBasic" : "Bachelor's degree or higher in a humanities specialization, Professional or Expert level proficiency (C1/C2) in English", "qualificationsPreferred" : "Advanced degrees are strongly preferred (Master’s or PhD)", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "AI Content Specialist at Innodata Inc.. Skills: Generative AI, LLM development, Content evaluation. Rate/assess AI model performance. Label content elements", "postedDate" : "2026-06-14T19:14:19.096", "createdAt" : "2026-06-14T19:14:19.096", "lastUpdated" : "2026-06-16T02:42:51.421", "ingestTimestamp" : "2026-06-14T19:14:19.096", "mongoId" : "6a2c6ace74d8ee00a090e13f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Content labeling", "Data transformation", "Content evaluation", "Data gathering", "Data compilation", "Text summarization", "Language translation", "Content generation", "Generative AI", "LLM development", "Data engineering", "Evaluation frameworks", "Human expertise", "Large Language Models", "AI systems" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 759.6207, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ed22474d8ee00a0ed1515", "title" : "Workforce Development Career Coach", "company" : "Clovis Community College", "salary" : { "min" : 52000.0, "max" : 78000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Workforce Development Career Coach in Clovis, California, with adjustments for mid-seniority and the education industry." }, "location" : "Clovis Community College, Clovis, NM", "locations" : [ "Clovis Community College, Clovis, NM", "United States of America" ], "timestamp" : "2026-06-15T23:05:23.422", "fingerprint" : "9c819c34053cc22180ccc8d1cd0c01598554dc8547a4f2fbdef926fd411ae06d", "source" : "workday", "language" : "en", "applyUrl" : "https://chess.wd1.myworkdayjobs.com/CCC/job/Clovis-Community-College-Clovis-NM/Workforce-Development-Career-Coach_JR111302", "externalId" : "JR111302", "industryFunction" : { }, "locationPoint" : "34.4048,-103.20523", "structuredLocations" : [ { "city" : "Clovis", "state" : "New Mexico", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.4054720,-103.2050709" } ], "locationText" : "Clovis, New Mexico, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "_**Compensation:**_ **_Compensation Type:_** Salary _**Employment Type:**_ **_Grade:_** **_Department:_** Community Outreach, Operations Support _**Position Summary**_ Full-time positions at Clovis Community College are not remote positions and require a physical presence at the assigned location to fulfill duties and college-related responsibilities. The Career Coach is responsible for providing direct client services to participants enrolled in workforce programs administered through the Eastern Workforce Development Board. This position delivers case management, career counseling, and employment readiness services to assist individuals in achieving sustainable employment. The Career Coach works closely with employers, community partners, and One Stop staff to support participant success and address barriers to employment. This position reports directly to the Director of Workforce Development. **_Duties & Responsibilities_** **Client Services & Case Management** * Provide comprehensive case management for participants, including assessment, service planning, and follow-up. * Identify barriers to employment and connect participants to appropriate support services. * Develop, implement, and monitor Employment Development Plans (EDPs). * Track participant progress and update EDPs regularly (minimum every six months). * Maintain accurate, complete, and timely participant records and documentation in required systems. * Assist participants in overcoming barriers impacting employment, training, or retention. * Serve as an advocate for participants as needed. **Career Counseling & Participant Support** * Conduct individual and group vocational, occupational, and employment counseling. * Provide guidance on career pathways, training opportunities, and employment options. * Deliver core and intensive services to support participant self-sufficiency. * Support participants in developing skills necessary for long-term employment success. **Employer & Community Engagement** * Build and maintain working relationships with local employers to support job placement opportunities. * Conduct regular employer outreach to identify workforce needs and promote program services. * Collaborate with community agencies and partners to connect participants to resources. * Collaborate with One Stop staff and partner organizations to support participant services. **Workshops & Employment Services** * Plan, schedule, and deliver employment readiness workshops, including: * Work readiness * Resume and cover letter writing * Interviewing skills * Job search techniques * Job retention and workplace success * Coping with job loss and career transitions * Provide hands-on assistance with job search and employment preparation. **Program Support & Coordination** * Coordinate with internal staff and external partners to support participant goals. * Follow established processes and guidance provided by leadership and program staff. * Cross-train in other workforce programs to better serve participants. * Support achievement of program performance outcomes through effective service delivery and participant engagement. **ESSENTIAL SKILLS:** * Strong organizational, case management, and communication skills * Excellent oral and written communication skills * Strong interpersonal and relationship-building abilities * Understanding of computer systems and office applications * Ability to work effectively with diverse populations * Ability to function effectively in a fast-paced environment **TRAVEL REQUIREMENTS:** Requires up to weekly daytime travel within the Eastern Region, as well as occasional overnight travel for training and/or conferences. **PHYSICAL REQUIREMENTS:** Requires frequent and continuous sitting/moving about, continuous use of fine motor skills, and pushing and pulling of up to 20 lbs. Positions may require prolonged monitor viewing. Equipment used includes standard office equipment and a variety of computer hardware and software. **SCHEDULE DETAILS:** Must be available to work 40 hrs. per week with normal work hours from 8:00 am to 5:00 pm. Occasional evening and weekend hours may be required. **ADDITIONAL DUTIES AND RESPONSIBILITIES** include but are not limited to: Perform other duties as assigned. _**Minimum Qualifications:**_ * Associate’s degree in education, human services, sociology, psychology, social work, guidance and counseling, or a related field, or equivalent combination of education and experience * Knowledge of Workforce Innovation and Opportunity Act (WIOA) programs and services * Valid New Mexico driver’s license, as travel is required * Must be able to work in person at the designated America’s Job Center within the Eastern New Mexico region **PREFERRED QUALIFICATIONS:** * Bachelor’s degree in education, human services, sociology, psychology, social work, guidance and counseling, or a related field, or equivalent combination of education and experience * Two (2) or more years of experience in a human services, workforce development, or educational field _**EEO STATEMENT:**_ As an EEO employer, Clovis Community College will not discriminate in our employment practices based on an applicant’s race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, serious medical condition or status as a protected veteran or spousal affiliation. Clovis Community College hires only U.S. citizens and individuals lawfully authorized to work in the U.S.", "summaryDescription" : "Workforce Development Career Coach at Clovis Community College", "postedDate" : "2026-06-11T22:00:53.545", "createdAt" : "2026-06-14T22:00:53.517", "lastUpdated" : "2026-06-15T23:05:23.422", "ingestTimestamp" : "2026-06-14T22:00:53.517", "mongoId" : "6a2ed22474d8ee00a0ed1515", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://chess.wd1.myworkdayjobs.com/CCC/job/Clovis-Community-College-Clovis-NM/Workforce-Development-Career-Coach_JR111302", "salaryAnnualMin" : 52000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "mid", "dataQualityScore" : 0.7777778, "_score" : 758.0054, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5f4074d8ee00a08ea5ee", "title" : "Workflow Builder", "company" : "Nscale", "salary" : { "min" : 130000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle", "locations" : [ "Seattle" ], "timestamp" : "2026-06-15T00:46:16.189", "fingerprint" : "2f638a34584d9ba2c856f00ffe6ddf0fad72e44b4744557d8966847261010db9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/nscaleoperationsukltd/jobs/4835914101", "externalId" : "4835914101", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "technicalSkills" : "Python, TypeScript, Git", "professionalSkills" : [ "Data engineering", "Enterprise roadmap", "Use-case development", "Platform engineering", "Access management", "Data ingestion", "Pipeline orchestration", "Semantic modeling", "Data governance", "Ontology management", "Dataset management", "Code quality", "AI workflows", "Identity management", "Permissions framework", "RBAC", "AI data fabric", "Real-time insights", "Platform adoption", "Self-service development" ], "hardSkillsList" : [ "Workflow development", "Data modelling", "System architecture", "Version control", "Data governance", "AI enablement", "Operational intelligence" ], "softSkillsList" : [ "Ownership", "Accountability", "Openness", "Transparency", "Excellence", "Urgency", "Innovation" ], "hardSkills" : [ { "name" : "Workflow development", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "System architecture", "level" : "intermediate" }, { "name" : "Version control", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "AI enablement", "level" : "intermediate" }, { "name" : "Operational intelligence", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership" }, { "name" : "Accountability" }, { "name" : "Openness" }, { "name" : "Transparency" }, { "name" : "Excellence" }, { "name" : "Urgency" }, { "name" : "Innovation" } ], "majorSkills" : "Data engineering, Workflow development, Palantir Foundry", "majorSkillsList" : [ "Data engineering", "Workflow development", "Palantir Foundry" ], "coreResponsibilities" : "Execute enterprise roadmap for internal data, Align use case development with priorities, Assume end-to-end responsibility for use-case, Design use-case, Build use-case, Rollout use-case, Scale partner-developed solutions, Scale experimental solutions, Integrate solutions into production-grade systems, Provide continuous feedback to vendor, Implement enterprise standards for data ingestion, Implement standards for pipeline orchestration, Implement standards for semantic modeling, Implement standards for interoperability, Own governance of canonical data models, Own governance of ontologies, Manage schema evolution, Enforce best practices for dataset management, Enforce best practices for version control, Enforce best practices for code quality, Enforce best practices for review processes, Enforce best practices for reproducible AI workflows, Design secure identity framework, Operate secure identity framework, Design permissions framework, Operate permissions framework, Integrate data across systems, Build feedback loops from AI systems, Track AI system performance, Track AI system reliability, Track AI system operational readiness, Deliver tools to improve efficiency, Deliver data products to improve quality, Deliver data products for decision-making, Drive platform adoption through onboarding, Drive platform adoption through training, Drive platform adoption through documentation, Drive platform adoption through self-service development", "teamCollaboration" : "Partner with C-suite; Partner with factory workers; Internal Palantir Center of Excellence", "projectManagementSkills" : [ "Roadmap definition" ], "domainKnowledge" : "AI; GPU cloud", "domainList" : [ "ai", "gpu-cloud" ], "domainSpecificKnowledge" : [ "AI", "GPU cloud" ], "toolProficiency" : [ "Palantir Foundry", "Git" ], "innovationCreativity" : "Relentless innovation", "problemSolvingSkills" : "Distill valuable workflows", "qualificationsBasic" : "5+ years of experience in data engineering, Proficiency in Python, Proficiency in TypeScript, Experience with Git", "qualificationsPreferred" : "Experience deploying and building in Palantir Foundry, Experience with other version control systems", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future. About the Role (Job Purpose) We’re looking for a Workflow Builder that will pull together and construct the data, models and workflows to underpin our business. You will bring distinct use cases as well as an overall operating system and architecture for data at Nscale, spanning Infrastructure, Product, Finance, Commercial, People and Operations, amongst others. You will define the roadmap based on business needs, build solutions across relevant product suites including Palantir Foundry, and ensure that teams at Nscale can make decisions backed by the right data. The role is ideal for someone who can distill the most valuable workflows from a myriad of inputs and teams, can effectively partner with C-suite and factory workers alike, and has prior experience deploying Palantir Foundry. What You’ll be Doing (Responsibilities) Internal Data and Workflow Development ● Execute the enterprise roadmap for the internal data and application platform, aligning use case development with product and business priorities. ● Assume end-to-end responsibility for specific use-case identification, design, build and rollout. ● Scale partner-developed and experimental solutions into production-grade, internally owned systems. ● Be a part of the internal Palantir Center of Excellence covering platform engineering, access management, and user support, as well as partnership with the vendor to provide continuous feedback and understanding upcoming developments. Data Architecture, Ontology & Governance ● Implement enterprise standards for data ingestion, pipeline orchestration, semantic modeling, and interoperability across analytics systems. ● Own governance of canonical data models and ontologies, managing schema evolution while maintaining business and product alignment. ● Enforce best practices for dataset management, version control, code quality, review processes, and reproducible AI workflows. ● Design and operate a secure identity and permissions framework, including RBAC, restricted views, and enterprise identity integrations. AI Enablement, Adoption & Operational Intelligence ● Integrate data across development, production, and operational systems into a unified AI data fabric supporting real-time insights. ● Build feedback loops from deployed AI systems to track performance, reliability, and operational readiness. ● Deliver tools and data products that improve efficiency, quality, and decision-making across teams. ● Drive platform adoption through onboarding, training, documentation, and safe self-service development practices. About You (Skills / Qualifications) ● 5+ years of experience in data engineering within fast-paced and varied environments of any sector ● Proficiency in Python and TypeScript. ● Experience deploying and building in Palantir Foundry preferred. ● Experience with Git or other version control systems, ● Proven success in taking ambiguous tasks and turning them into products and solutions that were successfully developed, rolled out and adopted. ● Excitement at the prospect of working in a fast paced, high-growth environment. 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 we want you at the core. ● Highly competitive package (base + equity) with reviews every 12 months. \uD83D\uDE80 ● Join the fastest-growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI. ✨ ● Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support. ● Human-First Flexibility: We treat you as humans first. \uD83E\uDEF6\uD83C\uDFFD Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments. ● Join our thriving remote-first team. Geography is no barrier to impact or connection. We build seamless virtual collaboration, empowering you, wherever you work. Equal Opportunities Statement We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know. The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role. 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 $130,000—$160,000 USD For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.", "summaryDescription" : "Workflow Builder at Nscale. Skills: Data engineering, Workflow development, Palantir Foundry. Execute enterprise roadmap for internal data. Align use case development with priorities", "postedDate" : "2026-06-12T22:26:27.345", "createdAt" : "2026-06-12T22:26:27.345", "lastUpdated" : "2026-06-15T00:46:16.189", "ingestTimestamp" : "2026-06-12T22:26:27.345", "mongoId" : "6a2c5f4074d8ee00a08ea5ee", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Workflow development", "Data modelling", "System architecture", "Version control", "Data governance", "AI enablement", "Operational intelligence", "Ownership", "Accountability", "Openness", "Transparency", "Excellence", "Urgency", "Innovation", "Data engineering", "Palantir Foundry", "Enterprise roadmap", "Use-case development", "Platform engineering", "Access management", "Data ingestion", "Pipeline orchestration", "Semantic modeling", "Ontology management", "Dataset management", "Code quality", "AI workflows", "Identity management", "Permissions framework", "RBAC", "AI data fabric", "Real-time insights", "Platform adoption", "Self-service development", "Roadmap definition", "AI", "GPU cloud", "Git" ], "skillCount" : 38, "jobCategory" : "other", "jobSubcategory" : "special-projects", "dataQualityScore" : 0.7777778, "_score" : 754.5762, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2c6ace74d8ee00a090e133", "title" : "AI Annotation Specialist", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 35000.0, "max" : 50000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Entry-level AI Annotation Specialist in the US, adjusted for part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-15T06:46:01.277", "fingerprint" : "20e504cbb3175f7c029119e0ec046554440f591ae739a4645f2e1750b04d0786", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4234805009", "externalId" : "4234805009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "High School", "technicalSkills" : "AI, Machine learning, Generative AI, Large language models, LLMs", "professionalSkills" : [ "Data engineering", "Evaluation frameworks", "Human expertise" ], "hardSkillsList" : [ "Data annotation", "Content labeling", "Data transformation", "Data review", "Data generation", "Prompt creation", "Response generation", "Text summarization", "Speech to text", "Translation", "Data gathering", "Data compilation" ], "hardSkills" : [ { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Content labeling", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data review", "level" : "intermediate" }, { "name" : "Data generation", "level" : "intermediate" }, { "name" : "Prompt creation", "level" : "intermediate" }, { "name" : "Response generation", "level" : "intermediate" }, { "name" : "Text summarization", "level" : "intermediate" }, { "name" : "Speech to text", "level" : "intermediate" }, { "name" : "Translation", "level" : "intermediate" }, { "name" : "Data gathering", "level" : "intermediate" }, { "name" : "Data compilation", "level" : "intermediate" } ], "majorSkills" : "AI Annotation, LLM Development", "majorSkillsList" : [ "AI Annotation", "LLM Development" ], "coreResponsibilities" : "Rate/assess AI model performance, Label content elements, Assign predefined categories/labels, Evaluate content quality/appropriateness, Generate labels for concepts, Create training data for ML models, Apply transformations to data, Review data for product feature function, Label model outputs, Identify branded content, Order or rank items, Create prompts for AI systems, Evaluate content relevancy, Generate responses to prompts, Rewrite existing text, Produce concise summaries, Convert spoken language to text, Convert content between languages, Gather and compile data for AI models", "domainKnowledge" : "Generative AI; Large language models; LLMs", "domainList" : [ "generative-ai", "large-language-models", "llms" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models", "LLMs" ], "outcomesObjectives" : "Build AI systems that can be trusted at scale; Advance the responsible advancement of artificial intelligence", "qualificationsBasic" : "High School Diploma or higher, Professional or Expert level proficiency (C1/C2) in English", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious AI Annotation Specialists to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A High School Diploma or higher is required. Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $9 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "AI Annotation Specialist at Innodata Inc.. Skills: AI Annotation, LLM Development. Rate/assess AI model performance. Label content elements", "postedDate" : "2026-06-14T09:31:18.177", "createdAt" : "2026-06-14T09:31:18.177", "lastUpdated" : "2026-06-15T06:46:01.277", "ingestTimestamp" : "2026-06-14T09:31:18.177", "mongoId" : "6a2c6ace74d8ee00a090e133", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 35000, "salaryAnnualMax" : 50000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data annotation", "Content labeling", "Data transformation", "Data review", "Data generation", "Prompt creation", "Response generation", "Text summarization", "Speech to text", "Translation", "Data gathering", "Data compilation", "AI Annotation", "LLM Development", "Data engineering", "Evaluation frameworks", "Human expertise", "Generative AI", "Large language models", "LLMs" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 752.99066, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305649f292fd229cf26d25", "title" : "Software Development Engineer, Data Analytics Integration AI and Platform Excellence", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 100000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T07:39:42.737", "fingerprint" : "f189dad85d0178b4fb4f4d5d3a02dc6ff4fe6528021c331d657300ba4d0e4a85", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449222/apply", "externalId" : "7d7d3df1-a764-4b2a-b65b-8a777a30d0ee", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Join Amazon's Data Integration organization and help shape the future of AI-driven data integration! We're seeking a talented Software Engineer to join our AI and Platform Excellence (APEX) team. APEX is at the forefront of leveraging AI/ML to revolutionize data integration workflows, making them simpler, and more efficient. As a member of APEX, you'll build core algorithms that harness the power of AI and machine learning to simplify the authoring, troubleshooting, upgrading, and optimization of data integration workflows. Your work will directly impact Amazon's ability to manage and utilize vast amounts of data across its many products and services. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Key job responsibilities - Design, develop, and implement AI/ML-powered products for data integration workflows which simplifies complexity in data processing. - Build and own critical infrastructure powering Amazon's next-generation AI capabilities - Collaborate with data scientists and ML experts to s to transform innovative ideas into production systems - Optimize existing algorithms and systems for performance, scalability, and reliability - Contribute to the full software development lifecycle, from conception to production deployment - Mentor junior engineers and promote best practices in software development and AI implementation A day in the life - Impact: Your work will directly influence how AI capabilities are developed and deployed at Amazon - Innovation: Work at the intersection of advanced AI research and enterprise-scale engineering - Growth: Learn from experts while working with the latest in AI technology - Purpose: Help shape responsible AI development practices and sustainable computing - Team: Join a collaborative environment focused on solving complex, meaningful challenges This role offers unique exposure to both AI infrastructure and product development, positioning you to make significant contributions to Amazon's AI initiatives while working with some of the industry's brightest minds. About the team AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science 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. 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, NY, New York - 158,100.00 - 213,800.00 USD annually", "summaryDescription" : "Software Development Engineer, Data Analytics Integration AI and Platform Excellence at Amazon Development Center U.S., Inc.", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T22:01:30.857", "lastUpdated" : "2026-06-16T07:39:42.737", "ingestTimestamp" : "2026-06-15T22:01:30.857", "mongoId" : "6a305649f292fd229cf26d25", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449222/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 751.475, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305649f292fd229cf26d20", "title" : "Software Development Engineer, Data Analytics Integration AI and Platform Excellence", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 100000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T06:13:39.463", "fingerprint" : "50923704d9285932d87355c66f615fb628a3dee944399657d3377b2bbf68aeb2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449227/apply", "externalId" : "74feb277-9aca-4907-914e-e556ee6f95b4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Join Amazon's Data Integration organization and help shape the future of AI-driven data integration! We're seeking a talented Software Engineer to join our AI and Platform Excellence (APEX) team. APEX is at the forefront of leveraging AI/ML to revolutionize data integration workflows, making them simpler, and more efficient. As a member of APEX, you'll build core algorithms that harness the power of AI and machine learning to simplify the authoring, troubleshooting, upgrading, and optimization of data integration workflows. Your work will directly impact Amazon's ability to manage and utilize vast amounts of data across its many products and services. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Key job responsibilities - Design, develop, and implement AI/ML-powered products for data integration workflows which simplifies complexity in data processing. - Build and own critical infrastructure powering Amazon's next-generation AI capabilities - Collaborate with data scientists and ML experts to s to transform innovative ideas into production systems - Optimize existing algorithms and systems for performance, scalability, and reliability - Contribute to the full software development lifecycle, from conception to production deployment - Mentor junior engineers and promote best practices in software development and AI implementation A day in the life - Impact: Your work will directly influence how AI capabilities are developed and deployed at Amazon - Innovation: Work at the intersection of advanced AI research and enterprise-scale engineering - Growth: Learn from experts while working with the latest in AI technology - Purpose: Help shape responsible AI development practices and sustainable computing - Team: Join a collaborative environment focused on solving complex, meaningful challenges This role offers unique exposure to both AI infrastructure and product development, positioning you to make significant contributions to Amazon's AI initiatives while working with some of the industry's brightest minds. About the team AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science 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. 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, NY, New York - 158,100.00 - 213,800.00 USD annually", "summaryDescription" : "Software Development Engineer, Data Analytics Integration AI and Platform Excellence at Amazon Development Center U.S., Inc.", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T22:01:18.805", "lastUpdated" : "2026-06-16T06:13:39.463", "ingestTimestamp" : "2026-06-15T22:01:18.805", "mongoId" : "6a305649f292fd229cf26d20", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449227/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 751.475, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307fb3f292fd229c05c989", "title" : "RFP - Workforce Capability Development and Platform Solution", "company" : "Imagine Worldwide", "industry" : "Education", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the mid-seniority level for a Workforce Capability Development and Platform Solution role in the Education industry, with adjustments for company size and location within India." }, "location" : "IW - Global", "locations" : [ "IW - Global" ], "certifications" : [ "Automatic certification" ], "timestamp" : "2026-06-16T09:28:45.668", "fingerprint" : "575d1cf5bf93edcfc6a15bddacbb927363f0a9926834b97789ac249d6d59d72b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/imagineworldwide/jobs/4286664009", "externalId" : "4286664009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "iwo", "state" : "osun state", "country" : "Nigeria", "continent" : "africa", "source" : "locations-index", "geo" : "7.63527,4.18156" } ], "locationText" : "IW - Global", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Metabase, Superset, Qlik, MicroStrategy, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Capability building", "Operational excellence", "Performance capacity", "Role development", "Content creation", "Microlearning delivery", "Evidence-based model", "Continuous improvement", "Data analysis", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Workforce capability, Platform solution, Learning ecosystem, Competency-based model", "majorSkillsList" : [ "Workforce capability", "Platform solution", "Learning ecosystem", "Competency-based model" ], "coreResponsibilities" : "Design learning paths, Build learning paths, Deliver learning paths, Create content, Deliver microlearning, Host platform, Drive operational excellence, Strengthen performance, Strengthen capacity, Provide role-specific training, Deliver mandatory training, Map skills to standards, Enable staff performance, Support organization growth, Deliver concise modules, Track mandatory training, Provide compliance reporting, Design tailored paths, Develop role-specific training, Deliver organization-wide training, Deliver ongoing development, Master skill sets, Ensure platform reliability, Perform under low-bandwidth", "teamCollaboration" : "Global team", "projectManagementSkills" : [ "RFP process" ], "domainKnowledge" : "Literacy skills; Numeracy skills; Autonomous learning; Foundational skills; Child-directed learning; Tech-enabled learning; Educational opportunities; Health outcomes; Wealth outcomes; Social outcomes; Evidence-based model; Learning gains; Universal literacy; Workforce development; Competency-based learning; Operational processes; Role development; Professional development; Core competencies; New responsibilities; Learning ecosystem; Mandatory policy training; Child Protection Policy; SWAP Process; Deviations Management; Risk Management; Program Metrics; Internal Reporting; External Reporting; Technical requirements; Field Implementation; Government Liaison; Data Analytics; Program Management; International standards; Competence standards; ISO 10015:2019", "domainList" : [ "literacy-skills", "numeracy-skills", "autonomous-learning", "foundational-skills", "child-directed-learning", "tech-enabled-learning", "educational-opportunities", "health-outcomes", "wealth-outcomes", "social-outcomes", "evidence-based-model", "learning-gains", "universal-literacy", "workforce-development", "competency-based-learning", "operational-processes", "role-development", "professional-development", "core-competencies", "new-responsibilities", "learning-ecosystem", "mandatory-policy-training", "child-protection-policy", "swap-process", "deviations-management", "risk-management", "program-metrics", "internal-reporting", "external-reporting", "technical-requirements", "field-implementation", "government-liaison", "data-analytics", "program-management", "international-standards", "competence-standards", "iso-10015-2019" ], "domainSpecificKnowledge" : [ "Literacy skills", "Numeracy skills", "Autonomous learning", "Foundational skills", "Child-directed learning", "Tech-enabled learning", "Educational opportunities", "Health outcomes", "Wealth outcomes", "Social outcomes", "Evidence-based model", "Learning gains", "Universal literacy", "Workforce development", "Competency-based learning", "Operational processes", "Role development", "Professional development", "Core competencies", "New responsibilities", "Learning ecosystem", "Mandatory policy training", "Child Protection Policy", "SWAP Process", "Deviations Management", "Risk Management", "Program Metrics", "Internal Reporting", "External Reporting", "Technical requirements", "Field Implementation", "Government Liaison", "Data Analytics", "Program Management", "International standards", "Competence standards", "ISO 10015:2019" ], "toolProficiency" : [ "Onebillion software" ], "communicationSkills" : "Platform demo; Live demonstration", "documentationSkills" : "Compliance reporting", "continuousLearning" : "Ongoing professional development", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "African-based vendor", "outcomesObjectives" : "Empower children; Reach full potential; Become literate; Become numerate; Deliver foundational skills; Improve outcomes; Scale toward goal; Deliver measurable gains; Strengthen core competencies; Adapt to new responsibilities; Deliver at optimal level; Drive operational excellence; Strengthen performance; Strengthen capacity; Perform at world-class level; Support organization growth; Master skill sets; Ensure operational reliability", "qualificationsBasic" : "90-person global team, African-based vendor", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "rawDescription" : "PLEASE NOTE: This is an RFP, not a job application. Proposals submitted through Greenhouse will not be reviewed. All submissions must be emailed to rfp.global@imagineworldwide.org. Who We Are Imagine Worldwide is a nonprofit organization on a mission to empower millions of children with the literacy and numeracy skills they need to reach their full potential. Imagine exists to demonstrate that children with personalized technology in their hands can become literate and numerate with little or no adult instruction. We are partnering with organizations across the globe to pilot promising autonomous learning solutions, building an evidence base on what works, why, and under what conditions, and using data to drive continuous improvement of content, approach, and implementation. We believe child-directed, tech-enabled learning can deliver foundational literacy and numeracy skills to hundreds of millions of children, increasing their educational opportunities and improving their health, wealth, and social outcomes. In our programs, learners use custom tablets and headsets that rotate among as many as eight children per day. Children drive their own learning at their own pace, using software developed by our partners onebillion, which provides a complete, research-based curriculum and pedagogy. The software can be adapted to each child’s cultural and linguistic context, enabling deployments in multiple countries, languages, and contexts — in-school, out-of-school, and refugee camps. Our evidence-based model, rigorously proven across nine randomized controlled trials (RCTs), currently operates in seven Sub-Saharan African countries, delivering measurable learning gains in some of the world’s most challenging environments. As we scale toward our goal of universal literacy, including massive initiatives like the BEFIT program serving 3.8 million children in Malawi, our internal operations must keep pace. To achieve this, we require a workforce development partner who can meet the same standard of precision and effectiveness we apply to our student-facing programs. Purpose of this RFP Imagine Worldwide seeks a comprehensive learning solution that supports organization-wide capability building across onboarding, mandatory policy training, operational processes, role development, and ongoing professional development for our 90-person global team. We invest significantly in recruiting and placing the right people in the right roles. That investment requires an equal commitment in how we onboard, train, develop, and equip our staff to strengthen core competencies, adapt to new responsibilities, and deliver at their optimal level throughout their tenure. To deliver on that commitment, we are issuing this Request for Proposals to identify a qualified African-based vendor to design, build, and deliver a competency-based learning ecosystem, including content creation, microlearning delivery, and a hosted platform. The solution must be grounded in evidence of its ability to drive operational excellence and strengthen the performance and capacity of our global team. We are looking for a partner who can provide role-specific learning paths, organization-wide mandatory training (e.g., Child Protection Policy, SWAP Process), and ongoing professional development, all delivered through a hosted learning platform and benchmarked against internationally recognized standards and frameworks. Where international competency standards exist, all skills-based training must be mapped against them, including but not limited to ISO 10015:2019, and vendors must clearly indicate which standard applies to each skill domain. Our standard is that every staff member is enabled to perform at a world-class level through relevant learning experiences, grounded in evidence, and aligned with recognized standards of competence. We invite qualified vendors to demonstrate their ability to meet this expectation and deliver a solution that can support our organization as it grows in scale and complexity. Core Objectives Our primary goal is to adopt a Competency-Based Workforce Model. We require a solution that delivers on four core objectives: Organization-Wide Mandatory Training: Concise, trackable modules for all staff on critical policies and processes, including HR and Child Protection Policies, SWAP Process, Deviations Management, Risk Management, Program Metrics, and Internal/External Reporting. Each module must carry automatic certification and full compliance reporting. Tailored Role-Specific Training: Learning paths designed specifically for the technical requirements of each role within Imagine Worldwide. This includes everything from Field Implementation and Government Liaison work to Data Analytics and Program Management. Ongoing, Measured Professional Development: Learning must be a continuous journey. We require a roadmap that includes micro-credentials and formal certification benchmarked against international standards to track and reward the growth of our staff over time. Exceptional and Culturally Relevant Onboarding: A rapid-deployment system that integrates new hires into our mission, culture, and operational philosophy. Scope of Work To ensure operational alignment and minimize deployment risk, this project will be executed in two distinct, iterative phases: Phase 1: Proof of Concept (PoC) – The SWAP Process: The vendor will design, package, and deliver a microlearning intervention focused exclusively on our priority capability: The SWAP Process. This initial phase will serve to test and validate the content framework, user engagement, and knowledge mastery mechanisms across global and country teams before full-scale deployment. Phase 2: Organization-Wide Strategic Scaling: Upon successful verification and completion of the PoC, the vendor will systematically scale the methodology to analyze, audit, and build out learning paths for all remaining organizational capabilities (estimated at approximately 20 core areas). The proposal must provide a comprehensive solution across these four specific components: Component I: Content Development using a Skill-Based Framework We seek a partner who can: Conduct a Skills and Capability Audit: Assess the current operational maturity and map existing capability gaps across all departments and functions. This baseline evaluation must explicitly pinpoint critical execution risks by role to guide content prioritization. Identify International Skill Standards: Map our internal roles against international competency frameworks to ensure our staff are performing and delivering at a world-class level. Develop Skill Taxonomies: Build a skills framework for each role that can be updated as our programs and field operations evolve. Ensure Practical Application: 100% of the content is tied to \"on-the-job\" performance, focusing on what staff need to do and what they need to know. Establish Competency Benchmarking and Proficiency Thresholds: Propose how they would define role-specific proficiency thresholds and competency benchmarks appropriate to Imagine Worldwide’s operating context. Deliver a Robust Existing Content Library: Bring a proven, field-tested content library that can be adapted to our roles, context, and standards. Please clearly describe what existing content you would draw from and how it would be tailored to Imagine Worldwide, and what, if anything, would need to be built from scratch. Enable Content Ownership and Internal Adaptability: Our programs evolve constantly, and our training must keep pace. We require a solution that allows Imagine Worldwide staff to independently create, update, and publish content without returning to the vendor for every revision. Vendors must describe what internal content and LMS management capabilities are included, and what training they will provide to ensure our team can manage the platform fully and independently. Component II: Packaging into Microlearning Materials We hold engagement to the highest standard. How content is packaged and delivered matters as much as the learning material. Content must be delivered in high-impact, short-form formats, including: Micro-Videos: Professional, 3–5 minute videos that simplify complex tasks. Active Assessments: Question-based checks that require the learner to demonstrate mastery before they can move to the next level. Low-Bandwidth Optimization: All materials must be designed to perform reliably in low-bandwidth environments, as internet connectivity across Sub-Saharan Africa remains inconsistent. Mobile Adaptability: All materials must render cleanly across screen sizes to accommodate the full range of how and where our team accesses content. Component III: The Learning Tool Platform We are seeking a learning management platform that serves as a central home for our learning ecosystem for all staff learning and development. It must feature: Extreme User-Friendliness: The platform must demonstrate a high degree of usability, requiring minimal onboarding for end users. Guided Learning Paths: The platform must assign and recommend content based on a staff member's role, progress, and assessment results, ensuring each person follows a learning journey that reflects where they are. Analytics SSO (Single Sign-On) capability is preferred. Content Standards: The platform must support SCORM and xAPI content standards to ensure compatibility with third-party content and portability of learning data. Data Security: Vendors must describe their data security protocols, including where staff data is hosted, encryption standards, and access controls. Data Ownership: Imagine Worldwide must retain full ownership of all staff learning data and any custom content developed or adapted under this contract. Data Consumption/Bandwidth: Given that staff operate in low-bandwidth environments, the platform must minimize data consumption and support offline or low-data modes. Platform Certifications: Vendors must disclose relevant platform certifications, including but not limited to SOC 2 Type II, ISO 27001, or equivalent data security and privacy standards. Vendor Qualifications Proposals must include the following to be considered: Organizational Profile: A concise overview of your organization, its mission, and demonstrated expertise in workforce development, instructional design, and LMS platforms. Include the year of founding, the current team size, and the countries or regions in which your organization actively operates. Relevant Experience: A minimum of 8–10 years of demonstrated expertise in capability-led learning design, workforce development, and organizational performance management. Preference will be given to vendors with proven experience delivering scalable, role-based training solutions within nonprofits, INGOs, or organizations operating directly in Sub-Saharan Africa. Certifications: Vendors must list all relevant professional and platform certifications. This may include, but is not limited to: Instructional design credentials (e.g., ATD CPTD, CPLP) LMS/platform security certifications (e.g., SOC 2, ISO 27001) Industry accreditation for micro-credentials or digital badging (e.g., 1EdTech/IMS Global, Credly-compatible issuance) Client References: Please provide a minimum of two client references from comparable organizations. References will not be contacted unless a vendor advances to the shortlist stage. The Standard of Excellence Our standard of excellence is defined by: A mastery-based approach: Moving away from passive video-watching toward question-based active learning, where a staff member must demonstrate a skill to progress. International Benchmarking: All training must be mapped against recognized international competency standards, including ISO 10015:2019, where applicable. Operational Integration: The solution must fit seamlessly into our Sub-Saharan African field operations, accounting for low-bandwidth environments and high-stakes implementation. Implementation and Support: Vendors must describe their implementation approach, expected go-live timeline, ongoing technical support model, and platform uptime guarantee. We expect a structured handover process that does not leave our team dependent on the vendor for day-to-day operations. Time to Competency: Vendors must demonstrate how their solution tracks the time it takes any staff member to reach proficiency, whether joining the organization, moving into a new role, or completing a mandatory or skills-based training module. Proficiency thresholds will be defined collaboratively during the implementation phase. This is a primary performance indicator for us. Manager Visibility: The platform must provide managers with regular, up-to-date insight into staff learning progress and assessment performance, enabling proactive support and targeted intervention where needed. Every member of our team deserves a learning experience built for their role, and we do not accept \"one-size-fits-all\" training. Budget and Duration Budget: A fixed budget ceiling is not disclosed for this procurement. All pricing proposals will be evaluated against our 'Cost Effectiveness & Value' criterion, which constitutes 15% of the total evaluation score. We are a nonprofit organization and welcome mission-aligned and nonprofit pricing structures where applicable. Please clearly itemize your pricing, including: Content development or adaptation costs Platform licensing or subscription fees (per user, per year, or alternative model) Implementation and onboarding support costs Any optional add-ons or tiered service levels Contract Duration: The initial contract term is 12 months from project commencement. Contract renewal for subsequent capability scaling will be contingent upon performance outcomes, delivery metrics, and successful completion of the Phase 1 milestones. Selection Criteria: The Evidence-Based Live Demo Imagine Worldwide will evaluate proposals through a two-stage process designed to assess both theoretical capability and practical performance. Stage 1: Technical & Commercial Written Evaluation (Paper Shortlist) Written proposals will be scored out of a baseline of 100 points using the following weighted criteria to determine the competitive shortlist: Technical Approach & Pragmatism (30%): Evaluation of the proposed competency-based methodology, microlearning packaging, and alignment with our organizational goals. Relevant Experience & Capability (30%): Assessment of the vendor’s organizational track record (8–10 years) in global workforce development, particularly in Sub-Saharan Africa or the NGO sector. Work Plan & Risk Management (25%): Evaluation of the implementation timeline, including the operational readiness of the Phase 1 Proof of Concept (SWAP process). Cost Effectiveness & Value (15%): Assessment of commercial sustainability, transparent pricing structures, and nonprofit considerations. Stage 2: Holistic Live Demonstration (The Final Selection) Vendors who pass the written threshold will be invited to a live demonstration. This stage allows the evaluation panel to holistically experience the platform's functionality, content relevance, and User Experience (UX) all at once. The demo will be evaluated against these core operational experiences: Role Customization: Show us how the learning experience is built differently for two distinct roles (e.g., a Data Coordinator vs. a Field Manager). Mandatory Training: Show us how a staff member is assigned, completes, and is certified on an organization-wide mandatory training module, and how compliance is tracked and reported to leadership. Ongoing Skills Development: Show us how a staff member follows a role-specific learning path, earns a micro-credential, and is automatically re-engaged with refresher content over time. Onboarding Strength: Show us how a new hire's journey becomes mission and role-ready. Platform Usability and User Experience: Prove that your platform is modern, clear, engaging, and user-centric. Certification: Demonstrate how a staff member earns a digital certificate after mastering a skill set. Operational Reliability: Demonstrate how the platform performs under low-bandwidth conditions. Proposal Format Proposals must be submitted in a PDF format and remain concise and focused with a maximum of 6 pages. Proposals should include: Cover Page: Each proposal must open with a cover page including the following: Organization name and logo Primary contact name and title Email address and phone number Organization website Registered office location and country of incorporation Date of submission Organizational overview: Who you are and your relevant experience Technical approach: How you would address each of the four components in the Scope of Work Platform Demo: A link to a pre-recorded platform walkthrough or demo video. Shortlisted vendors will subsequently be invited to present a live demonstration to the Imagine Worldwide team. Certifications: List of all relevant credentials and platform certifications Pricing proposal: Clearly itemized Client references: Minimum two, with contact details Submission Vendors should note the following key dates and plan their submissions accordingly. Milestone Submission Timeline RFP Release June 12, 2026 Deadline for Vendor Questions June 19, 2026 (11:59 PM GMT) Responses to Vendor Questions Issued June 26, 2026 Proposal Submission Deadline July 10, 2026 (11:59 PM GMT) (Round 2 submissions) Shortlisted Vendor Notification July 24, 2026 Shortlisted Demos July 31, 2026 Contract Award August 14, 2026 Onboarding and Scoping with Vendor September 1, 2026 Target Implementation Start October 1, 2026 All proposals must be submitted by July 3, 2026, in PDF format via email to Karabo Moloko and Sane Ngidi at rfp.global@imagineworldwide.org. Please direct all inquiries to the same address. Shortlisted vendors will be notified by July 24, 2026, and contacted directly to schedule their live demonstration. Imagine Worldwide looks forward to reviewing proposals that demonstrate a genuine commitment to staff excellence and operational precision as we scale for impact.", "summaryDescription" : "RFP - Workforce Capability Development and Platform Solution at Imagine Worldwide. Skills: Workforce capability, Platform solution, Learning ecosystem, Competency-based model. Design learning paths. 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"Occupational modeling" ], "hardSkillsList" : [ "ML/NLP models", "IO psychology principles", "Fairness", "Validity", "Bias considerations", "Model performance evaluation", "Responsible AI usage", "Scalability", "Interpretability", "Accuracy" ], "hardSkills" : [ { "name" : "ML/NLP models", "level" : "intermediate" }, { "name" : "IO psychology principles", "level" : "intermediate" }, { "name" : "Fairness", "level" : "intermediate" }, { "name" : "Validity", "level" : "intermediate" }, { "name" : "Bias considerations", "level" : "intermediate" }, { "name" : "Model performance evaluation", "level" : "intermediate" }, { "name" : "Responsible AI usage", "level" : "intermediate" }, { "name" : "Scalability", "level" : "intermediate" }, { "name" : "Interpretability", "level" : "intermediate" }, { "name" : "Accuracy", "level" : "intermediate" } ], "majorSkills" : "Machine learning, NLP, Organizational psychology, Responsible AI", "majorSkillsList" : [ "Machine learning", "NLP", "Organizational psychology", "Responsible AI" ], "coreResponsibilities" : "Lead design and evolution of AI-driven workforce intelligence, Ensure scientific rigor and production reliability, Operate at intersection of research, applied ML, and, Build scalable job analysis and assessment systems, Own and advance large-scale job analysis systems, Ingest and structure labor market data, Develop and refine ML/NLP models, Extract job, skill, and task insights, Ensure scientific defensibility of outputs, Partner with product and engineering teams, Translate research requirements into scalable AI systems, Evaluate and improve model performance, Define standards for responsible AI usage, Contribute to system architecture decisions, Act as internal subject matter expert", "teamCollaboration" : "Product and engineering teams", "domainKnowledge" : "Workforce analytics; Occupational modeling; AI application in HR; IO psychology principles; Fairness; Validity; Adverse impact; Norming; Assessment design", "domainList" : [ "workforce-analytics", "occupational-modeling", "ai-application-in-hr", "io-psychology-principles", "fairness", "validity", "adverse-impact", "norming", "assessment-design" ], "domainSpecificKnowledge" : [ "Workforce analytics", "Occupational modeling", "AI application in HR", "IO psychology principles", "Fairness", "Validity", "Adverse impact", "Norming", "Assessment design" ], "communicationSkills" : "Translate complex scientific concepts", "problemSolvingSkills" : "Navigate ambiguous, cross-disciplinary problems", "qualificationsBasic" : "5+ years applied experience in ML/NLP, Graduate degree in Industrial-Organizational Psychology, Organizational Psychology, or related quantitative field, Experience working with labor market or occupational data, Deep understanding of IO psychology concepts, Proven ability to build and ship scalable ML systems, Judgment in responsible AI", "qualificationsPreferred" : "PhD preferred, Transformer models experience, Embeddings experience, Clustering experience, Classification experience, Semantic modeling experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Lead the design and evolution of AI-driven workforce intelligence systems while ensuring scientific rigor and production reliability. You will operate at the intersection of research, applied machine learning, and organizational psychology to build scalable job analysis and assessment systems. Own and advance large-scale job analysis systems that ingest and structure labor market data from multiple sources Develop and refine ML/NLP models for extracting job, skill, and task insights from unstructured data Ensure scientific defensibility of all outputs using IO psychology principles, including fairness, validity, and bias considerations Partner with product and engineering teams to translate research requirements into scalable AI systems Evaluate and improve model performance using robust experimentation, validation, and error analysis frameworks Define standards for responsible AI usage in assessment, selection, and workforce development contexts Contribute to system architecture decisions that balance scalability, interpretability, and accuracy Act as an internal subject matter expert on workforce analytics, occupational modeling, and AI application in HR contexts Requirements Experienced applied scientist with strong expertise across machine learning, NLP, and industrial-organizational psychology, capable of bridging rigorous research and production systems. Graduate degree in Industrial-Organizational Psychology, Organizational Psychology, or related quantitative field (PhD preferred) 5+ years of applied experience in ML/NLP, ideally in production environments Strong hands-on experience with transformer models, embeddings, clustering, classification, and semantic modeling Experience working with labor market or occupational data (e.g., job taxonomies, skills frameworks, or similar structures) Deep understanding of IO psychology concepts such as validity, adverse impact, norming, and assessment design Proven ability to build and ship scalable ML systems, not limited to research prototypes Strong judgment in responsible AI, including fairness, explainability, and auditability in employment contexts Ability to navigate ambiguous, cross-disciplinary problems involving both scientific and product constraints Excellent communication skills to translate complex scientific concepts into practical business and product decisions Benefits Fully remote work within the United States 4-day work week supporting work-life balance Competitive compensation package (approximately $95,000–$110,000 depending on experience) Comprehensive health, dental, and vision insurance 401(k) retirement plan with employer match Generous paid time off and annual company shutdown period Paid parental leave and family support benefits Opportunity to work at the forefront of AI, workforce analytics, and applied psychology Strong culture of scientific rigor, innovation, and mission-driven impact ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior Research Scientist, AI & Workforce Intelligence. Skills: Machine learning, NLP, Organizational psychology, Responsible AI. Lead design and evolution of AI-driven workforce intelligence. Ensure scientific rigor and production reliability", "postedDate" : "2026-06-12T11:39:17.889", "createdAt" : "2026-06-12T11:39:17.889", "lastUpdated" : "2026-06-16T02:55:03.879", "ingestTimestamp" : "2026-06-14T21:18:43.427", "mongoId" : "6a2cb21174d8ee00a09dfce7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 110000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "ML/NLP models", "IO psychology principles", "Fairness", "Validity", "Bias considerations", "Model performance evaluation", "Responsible AI usage", "Scalability", "Interpretability", "Accuracy", "Machine learning", "NLP", "Organizational psychology", "Responsible AI", "Applied science", "Production systems", "Job analysis", "Assessment systems", "Labor market data", "Occupational modeling", "Workforce analytics", "AI application in HR", "Adverse impact", "Norming", "Assessment design" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 746.4758, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6ace74d8ee00a090e1ab", "title" : "Generative AI Specialist", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 52000.0, "max" : 78000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Generative AI Specialist in the US Technology industry, adjusted for remote work and part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-15T05:00:05.477", "fingerprint" : "5a1c6bd553651eabdd68aa611f0efb6dba0c5d37c1f36bec0187d66357f914c8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4282642009", "externalId" : "4282642009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Generative AI, Large language models, Machine learning models, AI systems, AI development", "professionalSkills" : [ "Data engineering", "Quantitative analysis", "Business intelligence", "Analytics engineering", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Data labeling", "Content evaluation", "Data transformation", "Data gathering", "Data compilation", "Text summarization", "Language translation", "Prompt creation", "Content generation" ], "hardSkills" : [ { "name" : "Data labeling", "level" : "intermediate" }, { "name" : "Content evaluation", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data gathering", "level" : "intermediate" }, { "name" : "Data compilation", "level" : "intermediate" }, { "name" : "Text summarization", "level" : "intermediate" }, { "name" : "Language translation", "level" : "intermediate" }, { "name" : "Prompt creation", "level" : "intermediate" }, { "name" : "Content generation", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Large language models, AI development, Data evaluation", "majorSkillsList" : [ "Generative AI", "Large language models", "AI development", "Data evaluation" ], "coreResponsibilities" : "Rate AI models, Assess AI algorithms, Label content elements, Assign predefined categories, Evaluate content quality, Generate labels, Create training data, Apply data transformations, Modify images, Generate new text, Alter audio/video signals, Review data, Identify product feature functionality, Label model outputs, Order or rank items, Create prompts, Generate responses, Rewrite existing text, Produce concise summaries, Convert spoken language, Translate text, Gather data, Compile data", "domainKnowledge" : "Generative AI; Large language models; AI systems; AI development; Data engineering", "domainList" : [ "generative-ai", "large-language-models", "ai-systems", "ai-development", "data-engineering" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models", "AI systems", "AI development", "Data engineering" ], "innovationCreativity" : "Shape the future of AI", "problemSolvingSkills" : "Reasoning", "qualificationsBasic" : "Bachelor's degree or higher, Professional or Expert level proficiency in English", "qualificationsPreferred" : "Advanced degrees strongly preferred, Master's or PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for a smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "Generative AI Specialist at Innodata Inc.. Skills: Generative AI, Large language models, AI development, Data evaluation. Rate AI models. Assess AI algorithms", "postedDate" : "2026-06-14T04:12:39.002", "createdAt" : "2026-06-14T04:12:39.002", "lastUpdated" : "2026-06-15T05:00:05.477", "ingestTimestamp" : "2026-06-14T04:12:39.002", "mongoId" : "6a2c6ace74d8ee00a090e1ab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data labeling", "Content evaluation", "Data transformation", "Data gathering", "Data compilation", "Text summarization", "Language translation", "Prompt creation", "Content generation", "Generative AI", "Large language models", "AI development", "Data evaluation", "Data engineering", "Quantitative analysis", "Business intelligence", "Analytics engineering", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "AI systems" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 745.5488, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 73789, "totalPages" : 1476, "hasNext" : true, "hasPrevious" : false } }

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