{ "count" : 78911, "data" : [ { "id" : "6a305aa0f292fd229cf53872", "title" : "Full-Stack TypeScript Developer (AI-Assisted Development)", "company" : "Y Soft", "industry" : "SaaS", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Mid-level Full-Stack TypeScript Developers in Bulgaria, adjusted for the SaaS industry and remote work." }, "location" : "Brno, Jihomoravský, Czech Republic", "locations" : [ "Brno", "Jihomoravský", "Czech Republic" ], "timestamp" : "2026-06-16T06:56:51.204", "fingerprint" : "1a3b78c558d6a0ee8bdc7e87bec1140f26fcc72dd3f5410693420800523dcca6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ysoftcorporation/jobs/7773156003", "externalId" : "7773156003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "technicalSkills" : "TypeScript, React, Next.js, Node.js, Azure Functions, Azure Table Storage, Blob Storage, Cognitive Search, Auth0, Stripe, Mailersend, QuickBlox, Bicep, GitHub Actions, Jest, Playwright, CodeRabbit, Cursor, Claude", "professionalSkills" : [ "End-to-end ownership", "Product decision making", "Technical direction influence" ], "hardSkillsList" : [ "Serverless API design", "AI functionality integration", "Disaster recovery", "Monitoring", "Recurring payments", "Subscription management", "Email integration", "SMS integration", "Service planning", "AI agent integration" ], "hardSkills" : [ { "name" : "Serverless API design", "level" : "intermediate" }, { "name" : "AI functionality integration", "level" : "intermediate" }, { "name" : "Disaster recovery", "level" : "intermediate" }, { "name" : "Monitoring", "level" : "intermediate" }, { "name" : "Recurring payments", "level" : "intermediate" }, { "name" : "Subscription management", "level" : "intermediate" }, { "name" : "Email integration", "level" : "intermediate" }, { "name" : "SMS integration", "level" : "intermediate" }, { "name" : "Service planning", "level" : "intermediate" }, { "name" : "AI agent integration", "level" : "intermediate" } ], "majorSkills" : "TypeScript, React, Next.js, AI-assisted development", "majorSkillsList" : [ "TypeScript", "React", "Next.js", "AI-assisted development" ], "coreResponsibilities" : "Develop features across the stack, Design serverless APIs, Implement serverless APIs, Develop donation features, Develop subscription features, Develop communication features, Develop event features, Develop onboarding features, Develop community management features, Increase platform reliability, Increase platform monitoring, Increase production readiness, Introduce AI functionalities, Participate in product discussions, Implement roadmap features, Implement disaster recovery, Implement monitoring, Implement recurring donations, Implement subscription management, Integrate email communication, Integrate SMS communication, Improve service planning, Integrate AI functionalities, Integrate AI agents", "teamCollaboration" : "Small team contribution; Direct collaboration with product leads", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "SaaS platform management; Community management; Event management; Volunteer management; Donation management; Communication management; Serverless architecture; Cloud-native architecture; Progressive Web Apps; Payment gateway integration; Monorepo architecture", "domainList" : [ "saas-platform-management", "community-management", "event-management", "volunteer-management", "donation-management", "communication-management", "serverless-architecture", "cloud-native-architecture", "progressive-web-apps", "payment-gateway-integration", "monorepo-architecture" ], "domainSpecificKnowledge" : [ "SaaS platform management", "Community management", "Event management", "Volunteer management", "Donation management", "Communication management", "Serverless architecture", "Cloud-native architecture", "Progressive Web Apps", "Payment gateway integration", "Monorepo architecture" ], "toolProficiency" : [ "Azure", "Bicep", "Terraform", "GitHub Actions", "Auth0", "Stripe", "Cursor", "Claude" ], "innovationCreativity" : "AI-assisted development", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Very good knowledge of TypeScript, Experience with React and/or Next.js, Ability to work independently, Take responsibility for areas, Interest in product creation, Willingness to discuss ideas, Challenge assumptions, Participate in decision-making, Ability to integrate AI tools, AI-assisted development experience, Modern developer tools experience, Curiosity and desire to learn", "qualificationsPreferred" : "Experience with Azure, Serverless architecture experience, Progressive Web Apps experience, Payment gateway integration experience, Stripe experience, CI/CD experience, Infrastructure as Code experience, Product thinking, Interest in why features are built", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Vedle vývoje vlastních produktů občas pomáháme perspektivním partnerským firmám růst tím, že jim poskytujeme zkušené vývojové týmy. Jedním z takových produktů je Believer - SaaS platforma, která pomáhá komunitám spravovat události, dobrovolníky, dary, komunikaci a každodenní fungování. Produkt je již v produkci, dostupný na webu, App Storu i Google Play a každý týden jej používají reální uživatelé. První platící zákazníci právě přicházejí, produkt se připravuje na expanzi do Evropy a nachází se ve fázi, kdy mají technická i produktová rozhodnutí okamžitý dopad. Hledáme nového kolegu nebo kolegyni, který/á se prostřednictvím Y Softu připojí k týmu Believer a pomůže formovat další růst produktu. Pokud chceš pracovat na dálku, žádný problé m. Tým funguje distribuovaně napříč Českou republikou a osobně se potkává jen příležitostně. CO NABÍZÍME: Startupové prostředí se zázemím stabilní technologické firmy. Produkt, který už používají reální zákazníci. Malý tým, ve kterém je tvoje práce vidět a tvoje rozhodnutí mají dopad. End-to-end ownership. Od nápadu až po produkci. Přímou spolupráci s lidmi, kteří určují směr produktu. Moderní vývojové postupy včetně AI-assisted developmentu. Možnost ovlivňovat produkt i technické směřování. Home office není benefit, ale standard. NA ČEM BUDEŠ PRACOVAT: Vývoj funkcionalit napříč celým stackem v TypeScriptu. Frontend v Next.js a Reactu. Návrh a implementace serverless API v Azure Functions. Funkcionality kolem darů, předplatného, komunikace, událostí, onboardingu a správy komunit. Zvyšování spolehlivosti, monitoringu a produkční připravenosti platformy. Zavádění AI funkcionalit do produktu. Aktivní účast na produktových diskusích, nejen samotné implementaci. Některé z témat na roadmapě: Disaster recovery a monitoring Opakované dary a správa předplatného Integrace e-mailové a SMS komunikace Vylepšení plánování služeb AI funkcionality a integrace AI agentů CO OD TEBE OČEKÁVÁME: Velmi dobrou znalost TypeScriptu. Zkušenost s Reactem a/nebo Next.js. Schopnost pracovat samostatně a převzít odpovědnost za svěřené oblasti. Komfort v malém týmu, kde každý přispívá víc než jen psaním kódu. Zájem o tvorbu produktů, ne jen plnění ticketů. Ochotu diskutovat nápady, zpochybňovat předpoklady a podílet se na rozhodování. Schopnost zapojovat AI nástroje do vývoje tak, aby reálně zrychlovaly práci, ale zároveň nenarušovaly bezpečnost, kvalitu kódu ani budoucí udržitelnost řešení. Zkušenost s AI-assisted developmentem a moderními vývojářskými nástroji. Zvídavost a chuť učit se nové věci. VÝHODOU BUDE: Zkušenost s Azure nebo serverless architekturou. Zkušenost s Progressive Web Apps (PWA). Integrace platebních bran nebo práce se Stripe. Zkušenost s CI/CD. Infrastructure as Code (Bicep, Terraform apod.). Produktové myšlení a zájem o to, proč se jednotlivé funkcionality staví. TECHNOLOGIE, KTERÉ POUŽÍVÁME: Frontend: Next.js, React, TypeScript, Fluent UI, Redux Toolkit, react-intl, Progressive Web App (PWA) Backend: Node.js, TypeScript, Azure Functions, Azure Table Storage, Blob Storage, Cognitive Search, Auth0, Stripe, Mailersend, QuickBlox Infrastruktura a tooling: Azure, Bicep (Infrastructure as Code), GitHub Actions, Auth0, Monorepo architektura Kvalita: Jest, Playwright, CodeRabbit AI-powered code reviews Vývoj: Cursor, Claude, AI-assisted development Pokud hledáš místo, kde můžeš ovlivnit produkt od prvního dne, pracovat na reálných problémech a vidět svůj kód používaný skutečnými uživateli každý týden, ozvi se nám.", "summaryDescription" : "Full-Stack TypeScript Developer (AI-Assisted Development) at Y Soft. Skills: TypeScript, React, Next.js, AI-assisted development. Develop features across the stack. 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We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. The AI Adoption & Engagement Lead is responsible for driving successful adoption of AI tools and capabilities across NBCUniversal News Group. This is a hands-on, AI-native role that blends enablement, execution, and community-building. The focus is not just on launching AI products, but on ensuring people understand, trust, and meaningfully use them in their daily work. This role leverages AI in day-to-day execution to support rollout planning, training development, communications, and program tracking, working across Product, Technology, Data, and cross-functional partners (including Learning & Development, vendors, and governance stakeholders) to enable responsible, scalable adoption. Key Responsibilities: AI Product Rollouts & Adoption * Drive internal rollouts of AI tools and platforms across News Group * Develop adoption strategies including communications, training, and phased enablement. * Serve as a frontline partner to users, gathering feedback and surfacing insights to product teams. AI Applications * Be subject matter expert around current and new AI features across our AI solutions. * Leveraging approved off the shelf AI capabilities such as OpenAI and Microsoft Co-Pilot for specific use cases coming from our internal teams. * The person needs to be comfortable understanding the art of the possible with these tools and quickly addressing use cases with AI solutions and features * Detailed hands-on understanding of key solutions Tracking AI Capabilities & Enhancements * Track new AI product features, model updates, and vendor enhancements. * Translate changes into clear, practical guidance for internal audiences (what changed, why it matters, how to use it) Training & Enablement * Partner with internal teams and vendors to integrate AI education into broader upskilling programs. * Design and deliver role-based training (workshops, demos, office hours) tailored to skill level and function. * Develop structured learning paths, onboarding materials, and self-service content to build organizational AI literacy. Community & Engagement * Build and manage AI Communities of Practice across News Group. * Identify and empower internal AI champions. * Design creative engagement initiatives including showcases, challenges, and use-case spotlights. Measurement & Program Performance * Define and track adoption, engagement, and satisfaction metrics. * Evaluate effectiveness of enablement and engagement approaches and iterate accordingly. * Capture success stories (“AI wins”) and user feedback to refine programs and inform priorities * Provide clear reporting and insights to leadership. Collaboration * Partner closely with Product, Technology, and cross-portfolio stakeholders to coordinate and align on AI enablement initiatives. * Maintain relationships with AI vendors to track emerging capabilities and product updates. * Work with Legal, Security, Standards, and governance partners to enable, test, and deploy new capabilities in a responsible, scalable way. ## Qualifications * 7+ years of experience in enablement, customer success manager, change management, engagement management, or product adoption roles (internal-facing or enterprise). * Strong practical hands-on knowledge of modern AI tools such as OpenAI, Co-Pilot and how they fit into real workplace workflows. * Strong program management skills: organized, self-directed, able to manage multiple workstreams and stakeholders simultaneously. * Ability to drive initiatives independently * Ability to translate AI capabilities and model/tool changes into clear, actionable guidance for non-technical audiences. * Hands-on experience using AI to improve personal and team productivity * Ability to present for large audiences * Strong written and verbal communication skills * Highly collaborative, with the ability to build trust across editorial, business, and technical teams. * Ability to adapt into rapidly changing environment where each week is looks different. Our team works like a start up inside a large organization. Desired Characteristics: * Experience in media, journalism, content production, or other high-velocity operational environments. * Experience building communities of practice and champion networks. Additional Requirements: Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. This position is eligible for company-sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $130,000 - $170,000 (bonus eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.", "summaryDescription" : "AI Adoption & Engagement Lead at NBCUniversal. Skills: Product strategy, AI/ML products, Consumer products. Define and drive product strategy. Develop and maintain product roadmaps", "postedDate" : "2026-06-15T19:32:14.000", "createdAt" : "2026-06-15T23:57:57.939", "lastUpdated" : "2026-06-16T09:02:18.423", "ingestTimestamp" : "2026-06-15T23:57:57.939", "mongoId" : "6a306afff292fd229cfceb51", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 170000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Product lifecycle management", "Market analysis", "Competitive analysis", "User research", "Data analysis", "Product strategy", "AI/ML products", "Consumer products", "Roadmap development", "User story creation", "Cross-functional collaboration", "Agile methodologies", "AI", "Machine learning", "Generative AI", "Consumer-facing products", "JIRA" ], "skillCount" : 17, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1095.9491, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307466f292fd229c0067d6", "title" : "AI Adoption & Engagement Lead", "company" : "NBCUniversal", "industry" : "Entertainment", "salary" : { "min" : 130000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NEW YORK, United States", "locations" : [ "New York", "NEW YORK", "United States" ], "timestamp" : "2026-06-16T12:17:13.742", "fingerprint" : "14eddcaed518558028b0cf3fab8639a60a45ce9224e37ced777cbbaa139e1c73", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NBCUniversal3/744000132273499-ai-adoption-engagement-lead", "externalId" : "744000132273499", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AI, Machine Learning, Data platforms", "professionalSkills" : [ "Product strategy", "Roadmap development", "User story creation", "Cross-functional collaboration" ], "hardSkillsList" : [ "Product lifecycle management", "Agile methodologies" ], "hardSkills" : [ { "name" : "Product lifecycle management", "level" : "intermediate" }, { "name" : "Agile methodologies", "level" : "intermediate" } ], "majorSkills" : "AI adoption, Product strategy, Cross-functional leadership", "majorSkillsList" : [ "AI adoption", "Product strategy", "Cross-functional leadership" ], "coreResponsibilities" : "Define product vision and strategy, Develop and maintain product roadmap, Translate product strategy into detailed requirements, Write user stories and prioritize backlog, Collaborate with engineering, design, and marketing teams, Launch new AI features and products, Monitor product performance and user feedback, Drive adoption of AI tools and platforms", "teamCollaboration" : "Cross-functional teams; Engineering teams; Design teams; Marketing teams; Stakeholders", "projectManagementSkills" : [ "Agile", "Roadmap planning", "Backlog prioritization" ], "domainKnowledge" : "AI; Machine Learning; Generative AI; Media industry", "domainList" : [ "ai", "machine-learning", "generative-ai", "media-industry" ], "domainSpecificKnowledge" : [ "AI", "Machine Learning", "Generative AI", "Media industry" ], "toolProficiency" : [ "JIRA", "Confluence" ], "communicationSkills" : "Product presentations; Requirements documentation", "documentationSkills" : "User stories; Product requirements", "problemSolvingSkills" : "Root cause analysis; Analytical thinking", "outcomesObjectives" : "Drive adoption of AI tools; Launch new AI features", "qualificationsBasic" : "5+ years of experience in product management, Experience with AI/ML products, Experience with large-scale data platforms", "qualificationsPreferred" : "Experience in media or entertainment industry, Experience with generative AI", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. The AI Adoption & Engagement Lead is responsible for driving successful adoption of AI tools and capabilities across NBCUniversal News Group. This is a hands-on, AI-native role that blends enablement, execution, and community-building. The focus is not just on launching AI products, but on ensuring people understand, trust, and meaningfully use them in their daily work. This role leverages AI in day-to-day execution to support rollout planning, training development, communications, and program tracking, working across Product, Technology, Data, and cross-functional partners (including Learning & Development, vendors, and governance stakeholders) to enable responsible, scalable adoption. Key Responsibilities: AI Product Rollouts & Adoption * Drive internal rollouts of AI tools and platforms across News Group * Develop adoption strategies including communications, training, and phased enablement. * Serve as a frontline partner to users, gathering feedback and surfacing insights to product teams. AI Applications * Be subject matter expert around current and new AI features across our AI solutions. * Leveraging approved off the shelf AI capabilities such as OpenAI and Microsoft Co-Pilot for specific use cases coming from our internal teams. * The person needs to be comfortable understanding the art of the possible with these tools and quickly addressing use cases with AI solutions and features * Detailed hands-on understanding of key solutions Tracking AI Capabilities & Enhancements * Track new AI product features, model updates, and vendor enhancements. * Translate changes into clear, practical guidance for internal audiences (what changed, why it matters, how to use it) Training & Enablement * Partner with internal teams and vendors to integrate AI education into broader upskilling programs. * Design and deliver role-based training (workshops, demos, office hours) tailored to skill level and function. * Develop structured learning paths, onboarding materials, and self-service content to build organizational AI literacy. Community & Engagement * Build and manage AI Communities of Practice across News Group. * Identify and empower internal AI champions. * Design creative engagement initiatives including showcases, challenges, and use-case spotlights. Measurement & Program Performance * Define and track adoption, engagement, and satisfaction metrics. * Evaluate effectiveness of enablement and engagement approaches and iterate accordingly. * Capture success stories (“AI wins”) and user feedback to refine programs and inform priorities * Provide clear reporting and insights to leadership. Collaboration * Partner closely with Product, Technology, and cross-portfolio stakeholders to coordinate and align on AI enablement initiatives. * Maintain relationships with AI vendors to track emerging capabilities and product updates. * Work with Legal, Security, Standards, and governance partners to enable, test, and deploy new capabilities in a responsible, scalable way. ## Qualifications * 7+ years of experience in enablement, customer success manager, change management, engagement management, or product adoption roles (internal-facing or enterprise). * Strong practical hands-on knowledge of modern AI tools such as OpenAI, Co-Pilot and how they fit into real workplace workflows. * Strong program management skills: organized, self-directed, able to manage multiple workstreams and stakeholders simultaneously. * Ability to drive initiatives independently * Ability to translate AI capabilities and model/tool changes into clear, actionable guidance for non-technical audiences. * Hands-on experience using AI to improve personal and team productivity * Ability to present for large audiences * Strong written and verbal communication skills * Highly collaborative, with the ability to build trust across editorial, business, and technical teams. * Ability to adapt into rapidly changing environment where each week is looks different. Our team works like a start up inside a large organization. Desired Characteristics: * Experience in media, journalism, content production, or other high-velocity operational environments. * Experience building communities of practice and champion networks. Additional Requirements: Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. This position is eligible for company-sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $130,000 - $170,000 (bonus eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.", "summaryDescription" : "AI Adoption & Engagement Lead at NBCUniversal. Skills: AI adoption, Product strategy, Cross-functional leadership. Define product vision and strategy. Develop and maintain product roadmap", "postedDate" : "2026-06-15T19:32:14.000", "createdAt" : "2026-06-16T01:43:17.105", "lastUpdated" : "2026-06-16T12:17:13.742", "ingestTimestamp" : "2026-06-16T01:43:17.105", "mongoId" : "6a307466f292fd229c0067d6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 170000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Product lifecycle management", "Agile methodologies", "AI adoption", "Product strategy", "Cross-functional leadership", "Roadmap development", "User story creation", "Cross-functional collaboration", "Agile", "Roadmap planning", "Backlog prioritization", "AI", "Machine Learning", "Generative AI", "Media industry", "JIRA", "Confluence" ], "skillCount" : 17, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1041.4882, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "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" : 997.45135, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2da46f74d8ee00a0c6ad1f", "title" : "AI Adoption Analyst", "company" : "Progress Deadlines And Next Steps", "industry" : "Education", "salary" : { "min" : 20.0, "max" : 20.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-16T06:04:47.178", "fingerprint" : "a4c1a22f9c7bb02ddf7222e12bcba759f47151e07e2ebe2124129ad5ff258ae5", "source" : "workday", "language" : "en", "applyUrl" : "https://babson.wd1.myworkdayjobs.com/Student_Staffing/job/Wellesley-MA/AI-Adoption-Analyst_R0014781", "externalId" : "R0014781", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "city" : "Wellesley", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.2964859,-71.2925571" } ], "locationText" : "Wellesley, Massachusetts, United States", "employmentType" : "PART_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "hardSkillsList" : [ "AI tools", "Workflow analysis", "Prompt testing" ], "hardSkills" : [ { "name" : "AI tools", "level" : "intermediate" }, { "name" : "Workflow analysis", "level" : "intermediate" }, { "name" : "Prompt testing", "level" : "intermediate" } ], "majorSkills" : "AI adoption, Research, Training support", "majorSkillsList" : [ "AI adoption", "Research", "Training support" ], "coreResponsibilities" : "Support AI learning activities, Organize surveys, Identify workflow needs, Research AI use cases, Draft training materials, Test prompts and tools, Prepare summaries and recommendations, Maintain project materials, Communicate progress and deadlines", "teamCollaboration" : "Collaborative higher education environment", "projectManagementSkills" : [ "Project coordination" ], "domainKnowledge" : "AI; Innovation; Entrepreneurship; Operations; Digital transformation", "domainList" : [ "ai", "innovation", "entrepreneurship", "operations", "digital-transformation" ], "domainSpecificKnowledge" : [ "AI", "Innovation", "Entrepreneurship", "Operations", "Digital transformation" ], "toolProficiency" : [ "Microsoft 365", "Word", "PowerPoint", "Excel", "Teams" ], "communicationSkills" : "Written communication; Verbal communication; Explaining complex ideas", "documentationSkills" : "Draft guides; Draft playbooks; Draft slide content", "continuousLearning" : "Hands-on experience applying AI tools", "innovationCreativity" : "Explore practical uses of AI", "problemSolvingSkills" : "Translate emerging AI tools", "outcomesObjectives" : "Build skills in research; Build skills in training support; Build skills in workflow analysis; Build skills in project coordination; Develop stronger communication skills; Deepen understanding of responsible technology use", "qualificationsBasic" : "Babson student in good academic standing", "qualificationsPreferred" : "Experience with research, Survey design experience, Presentation development experience, Process improvement experience, Experience with Microsoft 365 tools, Comfort learning new technologies, Experience explaining technologies clearly", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "**Job Title:** AI Adoption Analyst (Student Worker) **Department:** Blank School for Entrepreneurial Leadership **Supervisor:** Associate Director of Strategic Programs & Growth **Employment Type:** Babson Student Worker (On-Campus) **Location:** Wellesley, MA; on campus with hybrid flexibility as needed **Estimated Hours:** 8-12 hours per week **Semester Dates:** Summer 2026 (June – August 2026) **Pay Rate:** $20 per hour **Position Summary** The Blank School for Entrepreneurial Leadership is seeking a curious, reliable, and creative Babson student to help our team explore practical uses of AI in day-to-day work. This student worker role offers the opportunity to contribute to real projects involving research, training support, workflow improvement, and resource development. The student in this role will help translate emerging AI tools into clear, useful, and responsible applications that support communications, operations, program delivery, and team effectiveness. This is an excellent opportunity for a student interested in AI, innovation, entrepreneurship, operations, or digital transformation who wants hands-on experience in a collaborative higher education environment. **Primary Responsibilities** * Support planning and delivery of AI learning activities, workshops, and follow-up resources for Blank School staff. * Organize surveys, intake materials, and summary findings to help identify workflow needs and opportunities for AI adoption. * Research practical and responsible use cases for AI across administrative, communications, and program operations work. * Draft guides, playbooks, slide content, and other training materials that make complex ideas easy to understand and apply. * Help test prompts, tools, and lightweight workflow examples using approved platforms. * Prepare concise summaries, recommendations, and presentation materials based on survey results, workshop feedback, and project learnings. * Maintain organized project materials and communicate clearly with supervisors about progress, deadlines, and next steps. **Preferred Qualifications** * Current Babson student in good academic standing. * Strong written and verbal communication skills. * Strong organizational skills, attention to detail, and ability to manage multiple tasks independently. * Interest in AI, innovation, entrepreneurship, operations, or digital tools. * Experience with Microsoft 365 tools such as Word, PowerPoint, Excel, and Teams. * Comfort learning new technologies and explaining them clearly to others. * Experience with research, survey design, presentation development, or process improvement is a plus but not required. **Learning Outcomes** * Gain hands-on experience applying AI tools in a professional higher education setting. * Build skills in research, training support, workflow analysis, and project coordination. * Develop stronger communication skills by translating technical concepts into practical resources for staff. * Deepen understanding of responsible technology use, organizational change, and innovation in practice.", "summaryDescription" : "AI Adoption Analyst at Progress Deadlines And Next Steps. Skills: AI adoption, Research, Training support. Support AI learning activities. Organize surveys", "postedDate" : "2026-06-12T19:01:31.504", "createdAt" : "2026-06-14T19:01:31.447", "lastUpdated" : "2026-06-16T06:04:47.178", "ingestTimestamp" : "2026-06-14T19:01:31.447", "mongoId" : "6a2da46f74d8ee00a0c6ad1f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://babson.wd1.myworkdayjobs.com/Student_Staffing/job/Wellesley-MA/AI-Adoption-Analyst_R0014781", "salaryAnnualMin" : 41600, "salaryAnnualMax" : 41600, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "AI tools", "Workflow analysis", "Prompt testing", "AI adoption", "Research", "Training support", "Project coordination", "AI", "Innovation", "Entrepreneurship", "Operations", "Digital transformation", "Microsoft 365", "Word", "PowerPoint", "Excel", "Teams" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "_score" : 871.89124, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "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" : 866.45404, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c5ff074d8ee00a08eff09", "title" : "AI Adoption Specialist", "company" : "Moonshot", "industry" : "Manufacturing", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Adoption Specialist in Denton, United States, adjusted for mid-seniority and manufacturing industry." }, "location" : "Denton, Texas, United States", "locations" : [ "Denton", "Texas", "United States" ], "timestamp" : "2026-06-14T22:37:45.146", "fingerprint" : "63e8356bad2929c13b9220dff863d90bb5cef86c0301af542bd1b0ce1ccf2507", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/moonshot/jobs/4226333009", "externalId" : "4226333009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denton", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.1838787,-97.1413417" } ], "locationText" : "Denton, Texas, United States", "technicalSkills" : "Microsoft Copilot, Power Automate, ChatGPT Enterprise, Claude Enterprise", "professionalSkills" : [ "Business analysis", "Workflow analysis", "Process documentation", "Technical training", "Software deployment", "Business systems fluency", "Adoption tracking" ], "hardSkillsList" : [ "Technical writing", "Instructional design", "Business analysis", "Workflow mapping", "Process documentation", "Training delivery", "System troubleshooting" ], "hardSkills" : [ { "name" : "Technical writing", "level" : "intermediate" }, { "name" : "Instructional design", "level" : "intermediate" }, { "name" : "Business analysis", "level" : "intermediate" }, { "name" : "Workflow mapping", "level" : "intermediate" }, { "name" : "Process documentation", "level" : "intermediate" }, { "name" : "Training delivery", "level" : "intermediate" }, { "name" : "System troubleshooting", "level" : "intermediate" } ], "majorSkills" : "AI adoption, Process improvement, Technology implementation", "majorSkillsList" : [ "AI adoption", "Process improvement", "Technology implementation" ], "coreResponsibilities" : "Map current-state workflows, Identify gaps and friction points, Translate learnings into process documentation, Design training, Deliver training, Provide one-on-one support, Assist with implementation of technology tools, Build integrations, Develop understanding of core systems, Teach others, Identify usage gaps, Provide input on system functionality, Measure tool and process usage, Track adoption rates, Gather feedback, Identify gaps the business has not named, Surface what is working, Surface what is not working, Surface where organization is not ready, Bring ground-level reality to Director", "teamCollaboration" : "Cross-departmental collaboration; Partner with IT; Partner with software teams", "domainKnowledge" : "AI datacenter deployments; AI adoption in manufacturing; Business software implementation; ERP systems; Microsoft 365 environment", "domainList" : [ "ai-datacenter-deployments", "ai-adoption-in-manufacturing", "business-software-implementation", "erp-systems", "microsoft-365-environment" ], "domainSpecificKnowledge" : [ "AI datacenter deployments", "AI adoption in manufacturing", "Business software implementation", "ERP systems", "Microsoft 365 environment" ], "toolProficiency" : [ "Microsoft Copilot", "Power Automate", "ChatGPT Enterprise", "Claude Enterprise", "ERP platform", "Microsoft 365" ], "communicationSkills" : "Technical writing; Process documentation; Training delivery", "documentationSkills" : "Process documentation; Training materials; System guidance", "problemSolvingSkills" : "Identify gaps; Troubleshoot systems", "outcomesObjectives" : "Durable behavior change; New capabilities fit existing workflows; Tools and processes are being used; Shape where team focuses next", "qualificationsBasic" : "3-5 years in technology implementation, 3-5 years in software adoption, 3-5 years in digital transformation, Demonstrated experience training non-technical users, Hands-on experience with AI adoption, Hands-on experience with AI tool deployment, Experience in business analyst capacity, ERP experience", "qualificationsPreferred" : "Technical writing credentials, Instructional design credentials, Change management credentials", "workSiteFlexibility" : "Onsite", "rawDescription" : "Overview Moonshot builds the power infrastructure that makes AI possible. Our equipment goes into the largest AI datacenter deployments in the country, powering the models behind ChatGPT, Claude, and Gemini. Now we are turning that same technology inward to become the premier adopter of AI and modern software in manufacturing. As Technology Adoption Specialist, you are the person who makes that real for every team in the building. You sit with departments, map how they actually work today, identify where better tooling and process create leverage, and then deploy the training and documentation that makes adoption stick. This role is equal parts business analyst, technical trainer, and process documentarian. It is hands-on by design and crosses every department. Key Responsibilities Workflow Analysis and Process Documentation: Spend time with every department understanding how work gets done today. Map current-state workflows, identify gaps and friction points, and translate what you learn into clear, usable process documentation. This is the foundation everything else builds on. You are not just observing; you are synthesizing what you find into structured materials that the organization can act on and train from. Training and Enablement: Design and deliver training that meets people where they are, from someone in purchasing learning to use AI tools for the first time, to an engineer learning how to get more out of the ERP system. Build training materials, run workshops, and provide one-on-one support. The goal is durable behavior change, not a one-time session. Software and AI Tool Deployment: Assist with implementation of technology tools across the organization, including AI platforms and business software. Get tools into people's hands, build integrations where needed, and ensure new capabilities fit into existing workflows rather than creating additional work. Hands-on proficiency with Microsoft Copilot, Power Automate, ChatGPT or Claude enterprise, and similar platforms is expected. Business Systems Fluency: Develop a working understanding of Moonshot's core systems, including the ERP platform and Microsoft 365 environment, deep enough to teach others, identify usage gaps, and provide informed input on how those systems should work. You do not need to be a developer, but you need to be technically credible enough to troubleshoot, configure, and partner effectively with IT and software teams. Adoption Tracking: Measure whether tools and processes are actually being used after rollout. Track adoption rates, gather feedback, and iterate. A tool nobody uses and a document nobody reads are both failed deployments, regardless of how good the underlying work was. Gap Identification and Prioritization: Start from a prioritized list of known opportunities, then build toward independently identifying gaps the business has not yet named. Surface what is working, what is not, and where the organization is not yet ready. Bring ground-level reality back to the Director of Digital Transformation to help shape where the team focuses next. Qualifications Experience: 3-5 years in technology implementation, software adoption, digital transformation, or a related field with a CS or technical foundation Demonstrated experience training and enabling non-technical users on business technology tools Hands-on experience with AI adoption or AI tool deployment in a business environment Experience in a business analyst capacity: mapping workflows, documenting processes, and translating operational reality into structured training or system guidance ERP experience is a plus; platform does not matter Skills: Proficiency with AI and automation platforms such as Microsoft Copilot, Power Automate, ChatGPT Enterprise, Claude Enterprise, or similar tools Strong technical writing and documentation ability; you can turn a messy workflow into a clear process document that someone else can train from Teaching instinct and communication clarity; you can explain a complex system to someone who has never used it and make them confident, not just informed Business analysis capability; you can walk into a department, ask the right questions, and come out with an accurate picture of how work actually flows Patient, persistent, and practical; adoption is a people and process problem, not just a technology problem Education: Bachelor's degree in Information Technology, Business, Computer Science, or equivalent experience Technical writing, instructional design, or change management credentials are a plus Why Moonshot? Build Something Real: You are not producing documentation that lives in a shared drive nobody opens. You are building the training programs and process foundations that change how a rapidly growing manufacturing company operates every day. The equipment we build powers the AI revolution, and you are bringing that same momentum inside our own walls. The impact is visible and immediate. Career Growth: Moonshot is in hypergrowth and committed to becoming the most AI-advanced manufacturer in the country. You are getting in early on a technology adoption function that will only grow in scope and influence as the company scales. The people who build the process foundation here shape how the organization runs for years. Innovative Culture: Moonshot is where AI meets the real world. We build the power systems that make AI possible and we use AI to build them better and faster. If you want to help an entire company level up on how it works, from the shop floor to the executive suite, this is the job. Operational Impact: Your work directly shapes how departments function at scale. You are not keeping a system running in the background; you are actively changing how people do their jobs, reducing manual effort, and building the documentation layer that makes a fast-growing company repeatable.", "summaryDescription" : "AI Adoption Specialist at Moonshot. Skills: AI adoption, Process improvement, Technology implementation. Map current-state workflows. Identify gaps and friction points", "postedDate" : "2026-06-12T22:25:17.395", "createdAt" : "2026-06-12T22:25:17.395", "lastUpdated" : "2026-06-14T22:37:45.146", "ingestTimestamp" : "2026-06-12T22:25:17.395", "mongoId" : "6a2c5ff074d8ee00a08eff09", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Technical writing", "Instructional design", "Business analysis", "Workflow mapping", "Process documentation", "Training delivery", "System troubleshooting", "AI adoption", "Process improvement", "Technology implementation", "Workflow analysis", "Technical training", "Software deployment", "Business systems fluency", "Adoption tracking", "AI datacenter deployments", "AI adoption in manufacturing", "Business software implementation", "ERP systems", "Microsoft 365 environment", "Microsoft Copilot", "Power Automate", "ChatGPT Enterprise", "Claude Enterprise", "ERP platform", "Microsoft 365" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "information-technology", "dataQualityScore" : 0.7777778, "_score" : 852.40735, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing" }, { "id" : "6a1737fc58b93c861ed1dafd", "title" : "AI Enablement & Adoption Consultant", "company" : "Netrix Global", "industry" : "Technology", "salary" : { "min" : 105000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level AI Enablement & Adoption Consultant in the Technology industry in the United States, adjusted for company size and remote work." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T06:55:45.150", "fingerprint" : "5fef0416ce70ac351c22e9e4711f187a2b47168bdf3d6c3a420fab3915cc1abe", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://netrix-global.breezy.hr/p/e5a236ae30d5-ai-enablement-adoption-consultant", "externalId" : "e5a236ae30d5", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Support Microsoft Copilot workshops, Support enablement engagements, Support user adoption programs", "remoteFriendly" : true, "rawDescription" : "About The Opportunity Netrix Global seeking a highly client-facing Microsoft Copilot Enablement & Adoption Consultant who can immediately support the growing demand for Microsoft Copilot workshops, enablement engagements, and user adoption programs. This role is designed for someone who is eq", "summaryDescription" : "AI Enablement & Adoption Consultant at Netrix Global. Support Microsoft Copilot workshops. Support enablement engagements", "createdAt" : "2026-06-13T23:31:36.463", "lastUpdated" : "2026-06-15T06:55:45.150", "ingestTimestamp" : "2026-06-13T23:31:36.463", "mongoId" : "6a1737fc58b93c861ed1dafd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 837.50073, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a305710f292fd229cf334b5", "title" : "Software Developer", "company" : "7shifts", "industry" : "SaaS", "salary" : { "min" : 70000.0, "max" : 105000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Software Developer in Bulgaria, adjusted for the SaaS industry and remote work." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T07:28:22.872", "fingerprint" : "1ad0dc7ef797cdfd8221515d32123c242eb4a31c49074767996d9b5c8a4d10b5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/7shifts/jobs/6029758004", "externalId" : "6029758004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Backend programming, Relational databases, AI development tools", "professionalSkills" : [ "Technical design", "System design", "Code reviews", "Architectural improvements", "Strategic refactoring", "Bug investigation", "Problem translation", "Technical discussions", "Process improvement", "Pragmatic technical decisions" ], "hardSkillsList" : [ "Web development", "API development", "Service development" ], "hardSkills" : [ { "name" : "Web development", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Service development", "level" : "intermediate" } ], "majorSkills" : "Backend services, API development, AI assisted development", "majorSkillsList" : [ "Backend services", "API development", "AI assisted development" ], "coreResponsibilities" : "Design backend services, Build backend services, Maintain backend services, Design APIs, Build APIs, Maintain APIs, Design user-facing features, Build user-facing features, Maintain user-facing features, Use AI-assisted tools, Generate AI output, Review AI output, Validate AI output, Collaborate with engineers, Collaborate with product managers, Collaborate with designers, Translate complex problems, Enhance system reliability, Enhance system performance, Conduct code reviews, Make architectural improvements, Perform strategic refactoring, Take ownership of issues, Lead issue investigation, Lead issue resolution, Contribute to engineering culture, Participate in technical discussions, Improve team processes, Improve team standards, Drive projects, Make pragmatic decisions, Deliver value to users", "teamCollaboration" : "Cross-functional team; Team discussions", "projectManagementSkills" : [ "Full-cycle builder", "Own work end-to-end" ], "domainKnowledge" : "Restaurant industry; Scheduling platforms; Payroll platforms", "domainList" : [ "restaurant-industry", "scheduling-platforms", "payroll-platforms" ], "domainSpecificKnowledge" : [ "Restaurant industry", "Scheduling platforms", "Payroll platforms" ], "toolProficiency" : [ "Copilot", "Claude" ], "communicationSkills" : "Articulate technical concepts", "continuousLearning" : "Professional growth; Skill development", "problemSolvingSkills" : "Problem solving; Root cause analysis", "outcomesObjectives" : "Ship features; Deliver value", "qualificationsBasic" : "Degree in CS or related field, Equivalent practical experience, 2+ years web applications experience, Backend programming language proficiency, Relational databases understanding, Shipping high-quality code, Full software development lifecycle experience, Articulate complex technical concepts, Contribute effectively to team discussions, Leveraging AI development tools", "qualificationsPreferred" : "Restaurant-tech experience, Elixir production environment experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "7shifts is a scheduling and payroll platform designed to help restaurant teams thrive. With an easy-to-use app and industry-specific solutions, 7shifts saves time, reduces errors, and helps keep costs in check for over 55,000 restaurants. Our mission is to simplify team management and improve performance for restaurants, with a long-term vision of creating a thriving restaurant industry through the power of connected & engaged teams. As an Intermediate Software Developer at 7shifts, you're a full-cycle builder, taking features from technical design to deployment across a platform used by 1M+ workers in 55,000 restaurants. You'll work in a cross-functional team alongside product managers, designers, and other developers, owning your work end-to-end and making pragmatic technical decisions that ship. You report to an Engineering Manager who is invested in your growth, gives you real feedback, and creates the conditions for you to do your best work. AI is part of the toolkit here, you use it actively, you know when to reach for it, and you hold the bar on what ships. We’re building an inclusive work environment that is representative of the diverse industry we have the pleasure of serving, and encourage candidates from all backgrounds to apply. What you’ll do: Design, build, and maintain resilient and scalable backend services, APIs, and user-facing features Use AI-assisted development tools as an active part of your workflow, generating, reviewing, and validating output with the same rigour you'd apply to any production code Collaborate with a cross-functional team of engineers, product managers, and designers to translate complex problems into elegant and practical solutions Enhance the reliability and performance of our systems through thoughtful code reviews, architectural improvements, and strategic refactoring Take ownership of production issues, leading the investigation and resolution of bugs and customer-reported problems Contribute to our engineering culture by actively participating in technical discussions and consistently improving our team's processes and standards Drive projects from concept to completion, making pragmatic technical decisions and consistently delivering value to our users What you bring: A degree or diploma in computer science, software engineering, or a related technical field, or equivalent practical experience 2+ years of professional experience building, deploying, and maintaining web applications and services in a team environment Proficiency in modern web development, including experience with a backend programming language and a solid understanding of relational databases A proven track record of shipping high-quality code, demonstrating a strong sense of ownership and the ability to see features through the full software development lifecycle Strong communication and collaboration skills, with the ability to articulate complex technical concepts clearly and contribute effectively to team discussions A proactive and autonomous work ethic, knowing how to navigate ambiguity, manage your priorities, and make sound technical trade-offs Experience in leveraging AI development tools (e.g., Copilot, Claude) A customer-focused mindset and a genuine passion for building products that solve real-world problems It’d be even cooler if you had: Experience in restaurant-tech, delivering customer-focused solutions Hands-on experience using Elixir in a production environment This role is an existing vacancy and is part of our current hiring plan Compensation The base compensation range for this position is CAD $80,000 - $120,000. This range reflects the full growth path for the role, from building core skills to accomplished performance, through to role mastery. We typically target the accomplished level when hiring externally. At this level, individuals bring relevant experience in the role, demonstrate strong job-related skills, operate with confidence and consistency, and are able to deliver impact with limited ramp-up while still having meaningful opportunity to grow. Compensation at 7shifts is performance and growth-driven. As you develop your skills and expand your impact over time, your compensation grows with you. Your specific placement within this range is based on your job-related skills, knowledge, and experience, as well as our internal equity assessment. We are always happy to discuss our approach throughout the hiring process. Our commitment to our Shifties: Opportunity: Our product is evolving in exciting ways, and we’re focused on delivering even more value to restaurants. This momentum creates real opportunities to learn and grow. Whether you’re honing your craft or exploring new paths, you’ll be supported and empowered to own your growth and impact a product shaping the future of the restaurant industry. Challenge: We’re tackling real problems in a fast-moving, complex industry. The work is scrappy and ambiguous, but meaningful. You’ll think critically, act with intention, and shape solutions that make a real difference for restaurant teams. Culture: We’re proud to be recognized among the best workplaces in North America. Guided by our mission and values, we move fast to solve meaningful problems and celebrate wins together. Whether through in-office and remote events, team offsites like Sparks, or everyday moments of connection, we create space for shared growth, collaboration, and fun. Equity: We’re a Series C, VC-backed SaaS company, and we believe everyone should share in the success they help create. When we build together, we grow together. Health and Wellness: We support Shifties in and outside of work, knowing that what people need can change over time. From day one, you’ll have access to benefits like health and dental, lifestyle spending accounts to a parental leave program built with flexibility in mind, to help you bring your best self to work. Flexibility: Our team is intentional around how and where we work, whether remotely, in person, or a mix of both. We prioritize candidates who thrive in a hybrid work environment with offices in Saskatoon and Toronto, ensuring in-person collaboration and connection when possible. Plus, we offer a flexible vacation policy to encourage everyone to recharge when needed. Oh, and our ‘90 Day Shift’ program lets Shift work from (almost) anywhere because who wouldn’t want to trade their desk for a beach view once in a while? Support: We set Shifties up for success with the tools they need, like the latest Apple tech, a home office setup, and some 7shifts swag to make it official. But support goes beyond day one. We’re serious about professional growth, offering coaching, feedback, development planning, and opportunities to grow from within. We know you might not check every box, and that’s okay. If you’re excited about this role, inspired to contribute to a meaningful product, and eager to share ideas that drive real change, we’d love to hear from you. We’re building an inclusive team that reflects the diverse industry we serve, and we welcome applicants from all backgrounds. We thank you for your interest in joining the 7shifts team! Our privacy policy can be found here.", "summaryDescription" : "Software Developer at 7shifts. Skills: Backend services, API development, AI assisted development. Design backend services. Build backend services", "postedDate" : "2026-06-15T23:19:58.828", "createdAt" : "2026-06-15T23:19:58.828", "lastUpdated" : "2026-06-16T07:28:22.872", "ingestTimestamp" : "2026-06-15T23:19:58.828", "mongoId" : "6a305710f292fd229cf334b5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Web development", "API development", "Service development", "Backend services", "AI assisted development", "Technical design", "System design", "Code reviews", "Architectural improvements", "Strategic refactoring", "Bug investigation", "Problem translation", "Technical discussions", "Process improvement", "Pragmatic technical decisions", "Full-cycle builder", "Own work end-to-end", "Restaurant industry", "Scheduling platforms", "Payroll platforms", "Copilot", "Claude" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 783.2525, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306077f292fd229cf8e5b4", "title" : "Senior AI Prompt Engineer & GenAI Adoption Consultant", "company" : "Exadel Inc", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior AI Prompt Engineer & GenAI Adoption Consultant in São Paulo, Brazil, adjusted for industry and seniority." }, "location" : "São Paulo, Brazil", "locations" : [ "São Paulo", "Brazil" ], "timestamp" : "2026-06-16T07:09:47.560", "fingerprint" : "d587d67f8609ffa8372078239a48ae1fe8fcfa2fcadcea75c21162680f5a585f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/exadelinc/jobs/6030415004", "externalId" : "6030415004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "hybrid", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "São Paulo, Brazil", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client A leading global financial institution providing a comprehensive suite of retail, corporate, and investment banking services worldwide. The organization focuses on structural finance, global markets trading, and sustainable financing solutions. Today, it leverages early-adopted AI infrastructure and strategic digital frameworks to optimize operations for its vast global client base. What You’ll Do AI Adoption & Consulting Guide clients through their Generative AI adoption journey Assess organizational AI maturity and identify opportunities for AI-driven productivity gains Design and execute AI enablement programs Facilitate workshops, training sessions, and executive presentations Act as a strategic advisor to business stakeholders and leadership teams Prompt Engineering Design, test, optimize, and document advanced prompts across multiple AI platforms Build reusable prompt libraries and prompt frameworks Develop role-based prompting methodologies Create prompting standards, governance guidelines, and best practices Continuously evaluate prompt effectiveness and improve output quality AI Platforms & Emerging Technologies Work hands-on with industry-leading AI tools, including: ChatGPT Claude Microsoft Copilot Gemini Perplexity NotebookLM Cursor GitHub Copilot AI Agent platforms Enterprise AI Assistants Compare model capabilities and recommend appropriate solutions Design AI use cases and support client adoption initiatives Monitor market trends and emerging AI technologies Use Case Development Identify high-value AI opportunities across business functions Create AI-powered workflows and productivity initiatives Develop proof-of-concepts and demonstrations Support pilot programs and scale successful solutions Governance & Responsible AI Promote responsible AI usage and best practices Support the development of AI governance frameworks Help address data privacy and compliance considerations Educate users on AI risks, limitations, and responsible usage What You Bring Bachelor's degree in Computer Science, Information Systems, Engineering, Business Administration, Data Science, or a related field Experience in one or more of the following areas: Technology consulting, Digital transformation, Business process improvement, Knowledge management, AI enablement programs, Change management initiatives Advanced hands-on experience with ChatGPT, Claude, Gemini, and Microsoft Copilot Strong prompt engineering capabilities Experience developing structured prompts for business applications Deep understanding of Large Language Model (LLM) capabilities and limitations Ability to critically evaluate AI outputs and optimize performance Familiarity with AI Agents concepts Experience with productivity and collaboration platforms Strong communication and stakeholder management skills Ability to explain technical concepts to both technical and non-technical audiences Nice to have Python fundamentals API integrations Low-code/no-code automation platforms Microsoft Power Platform LangChain Retrieval-Augmented Generation (RAG) AI Agent frameworks Knowledge of AI governance frameworks Microsoft AI Certifications Azure AI Fundamentals Google Generative AI Certifications OpenAI-related Certifications Prompt Engineering Certifications AI Governance Certifications English level Intermediate/Upper-Intermediate Work Type: Hybrid (three times per week) Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.", "summaryDescription" : "Senior AI Prompt Engineer & GenAI Adoption Consultant at Exadel Inc", "postedDate" : "2026-06-15T23:23:41.198", "createdAt" : "2026-06-15T23:23:41.198", "lastUpdated" : "2026-06-16T07:09:47.560", "ingestTimestamp" : "2026-06-15T23:23:41.198", "mongoId" : "6a306077f292fd229cf8e5b4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 778.7008, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb20574d8ee00a09deddb", "title" : "AI Enablement & Adoption Manager", "industry" : "Product", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Bulgaria, adjusted for Manager seniority in the Financial Services industry for a full-time remote role." }, "location" : "US", "locations" : [ "US" ], "certifications" : [ "Prosci", "ACMP", "Instructional design credentials" ], "timestamp" : "2026-06-16T06:21:57.305", "fingerprint" : "b4839f7de509f40e4b1c822636332a9950274ac9ac352869f5914605fa2f110a", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/0bc0d4eb-a6c2-4cc1-afc0-61e7e15916fb/apply", "externalId" : "0bc0d4eb-a6c2-4cc1-afc0-61e7e15916fb", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Manager", "technicalSkills" : "Generative AI", "professionalSkills" : [ "Organizational transformation", "Change management", "Stakeholder management", "Client-facing" ], "hardSkillsList" : [ "AI enablement", "AI adoption", "Training delivery", "Workshop facilitation", "Demonstration delivery", "Use case development", "Adoption strategy", "Communication planning", "Learning material development", "Metric definition", "Risk management", "Governance alignment", "Compliance alignment" ], "hardSkills" : [ { "name" : "AI enablement", "level" : "intermediate" }, { "name" : "AI adoption", "level" : "intermediate" }, { "name" : "Training delivery", "level" : "intermediate" }, { "name" : "Workshop facilitation", "level" : "intermediate" }, { "name" : "Demonstration delivery", "level" : "intermediate" }, { "name" : "Use case development", "level" : "intermediate" }, { "name" : "Adoption strategy", "level" : "intermediate" }, { "name" : "Communication planning", "level" : "intermediate" }, { "name" : "Learning material development", "level" : "intermediate" }, { "name" : "Metric definition", "level" : "intermediate" }, { "name" : "Risk management", "level" : "intermediate" }, { "name" : "Governance alignment", "level" : "intermediate" }, { "name" : "Compliance alignment", "level" : "intermediate" } ], "majorSkills" : "AI enablement, AI adoption, Change management, Client engagement", "majorSkillsList" : [ "AI enablement", "AI adoption", "Change management", "Client engagement" ], "coreResponsibilities" : "Lead AI enablement programs, Lead AI adoption programs, Drive awareness of AI tools, Drive usage of AI tools, Drive integration of AI tools, Design workshops, Deliver workshops, Design training sessions, Deliver training sessions, Design office hours, Deliver office hours, Design demonstrations, Deliver demonstrations, Act as AI advocate, Build confidence in AI, Address AI concerns, Identify AI adoption opportunities, Collaborate with engineering teams, Collaborate with consulting teams, Collaborate with delivery teams, Translate technical AI capabilities, Develop adoption strategies, Develop communication plans, Develop learning materials, Reduce adoption barriers, Accelerate user engagement, Define adoption metrics, Track adoption metrics, Define user engagement indicators, Track user engagement indicators, Define business outcomes, Track business outcomes, Support clients in regulated industries, Ensure AI adoption aligns with governance, Ensure AI adoption aligns with compliance, Ensure AI adoption aligns with risk management", "teamCollaboration" : "Cross-functional teams; Engineering teams; Consulting teams; Delivery teams", "projectManagementSkills" : [ "Program management" ], "domainKnowledge" : "Regulated industries; Banking; Financial services; Insurance", "domainList" : [ "regulated-industries", "banking", "financial-services", "insurance" ], "domainSpecificKnowledge" : [ "Regulated industries", "Banking", "Financial services", "Insurance" ], "communicationSkills" : "Executive presentations; Stakeholder management", "documentationSkills" : "Learning materials", "continuousLearning" : "Professional growth in AI enablement; Professional growth in consulting; Professional growth in enterprise transformation; Exposure to advanced AI tools; Exposure to enterprise adoption frameworks", "outcomesObjectives" : "Measure program success; Measure program impact", "qualificationsBasic" : "5–10 years of experience in enablement, training, consulting, change management, or organizational transformation roles, Experience working with enterprise clients in banking, financial services, insurance, or other regulated industries, Facilitation and presentation skills, Proven ability to drive adoption of new technologies, digital tools, or AI-driven solutions in enterprise environments, Ability to translate complex technical concepts into clear, actionable guidance for non-technical users, Hands-on experience with generative AI tools, Understanding of AI-driven business transformation, Excellent communication, influencing, and stakeholder management skills in client-facing environments", "qualificationsPreferred" : "Experience working in consulting or fast-paced, multi-stakeholder environments", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Lead end-to-end AI enablement and adoption programs that drive awareness, usage, and long-term integration of AI tools within client organizations. Design and deliver workshops, training sessions, office hours, and hands-on demonstrations for business users, executives, and cross-functional teams. Act as a trusted AI advocate, building confidence, addressing concerns, and identifying opportunities for AI adoption across business processes. Collaborate closely with engineering, consulting, and delivery teams to translate technical AI capabilities into practical, business-focused use cases. Develop adoption strategies, communication plans, and learning materials to reduce barriers and accelerate user engagement. Define and track key adoption metrics, user engagement indicators, and business outcomes to measure program success and impact. Support clients in regulated industries by ensuring AI adoption aligns with governance, compliance, and risk management requirements. Requirements: 5–10 years of experience in enablement, training, consulting, change management, or organizational transformation roles. Experience working with enterprise clients in banking, financial services, insurance, or other regulated industries. Strong facilitation and presentation skills, with experience engaging executives and diverse stakeholder groups. Proven ability to drive adoption of new technologies, digital tools, or AI-driven solutions in enterprise environments. Ability to translate complex technical concepts into clear, actionable guidance for non-technical users. Hands-on experience with generative AI tools and strong understanding of AI-driven business transformation. Excellent communication, influencing, and stakeholder management skills in client-facing environments. Experience working in consulting or fast-paced, multi-stakeholder environments is highly valued. Certifications such as Prosci, ACMP, or instructional design credentials are a plus. Benefits: Competitive compensation package aligned with experience and expertise. Remote-first flexibility across the United States. Opportunity to work directly with leading financial institutions on cutting-edge AI transformation initiatives. High-impact client-facing role with significant ownership and visibility. Professional growth in AI enablement, consulting, and enterprise transformation. Collaborative, fast-moving environment focused on innovation and real-world impact. Exposure to advanced AI tools and emerging enterprise adoption frameworks. ## 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" : "AI Enablement & Adoption Manager. Skills: AI enablement, AI adoption, Change management, Client engagement. Lead AI enablement programs. Lead AI adoption programs", "postedDate" : "2026-06-12T14:42:19.633", "createdAt" : "2026-06-12T14:42:19.633", "lastUpdated" : "2026-06-16T06:21:57.305", "ingestTimestamp" : "2026-06-14T21:18:38.429", "mongoId" : "6a2cb20574d8ee00a09deddb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "AI enablement", "AI adoption", "Training delivery", "Workshop facilitation", "Demonstration delivery", "Use case development", "Adoption strategy", "Communication planning", "Learning material development", "Metric definition", "Risk management", "Governance alignment", "Compliance alignment", "Change management", "Client engagement", "Organizational transformation", "Stakeholder management", "Client-facing", "Program management", "Regulated industries", "Banking", "Financial services", "Insurance", "Prosci", "ACMP", "Instructional design credentials" ], "skillCount" : 26, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 772.10376, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "69ced74d2beec4dd3d84707a", "title" : "Vibe Engineer (Junior AI-First Software Developer)", "company" : "Wise Pelican", "location" : "Scottsdale, AZ", "locations" : [ "Scottsdale", "AZ" ], "timestamp" : "2026-06-15T10:13:24.979", "fingerprint" : "c70e33b88b41b713e443ae0f38e8f0f30b467fb9b0822567e0b104e08e6aa51a", "source" : "breezyhr", "applyUrl" : "https://wise-pelican-llc.breezy.hr/p/d7a2d0ce8c50-vibe-engineer-junior-ai-first-software-developer", "externalId" : "d7a2d0ce8c50", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Scottsdale", "state" : "Arizona", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Scottsdale, Arizona, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Junior", "majorSkills" : "AI-assisted development, Software development, Modern frameworks", "majorSkillsList" : [ "AI-assisted development, Software development, Modern frameworks" ], "coreResponsibilities" : "Build real product features using modern frameworks and AI-assisted development.", "qualificationsBasic" : "Learn fast, ship faster.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Title: Vibe Engineer (AI-First Software Developer)Department: Product EngineeringReports to: CEOLocation: Scottsdale, Arizona About Wise Pelican Wise Pelican is hiring a dedicated Vibe Engineer who will learn fast, ship faster, and build real product features using modern frameworks and AI-assisted", "summaryDescription" : "Vibe Engineer (Junior AI-First Software Developer) at Wise Pelican. Skills: AI-assisted development, Software development, Modern frameworks. Build real product features using modern frameworks and AI-assisted development.", "createdAt" : "2026-06-14T18:53:44.507", "lastUpdated" : "2026-06-15T10:13:24.979", "ingestTimestamp" : "2026-06-14T18:53:44.507", "mongoId" : "69ced74d2beec4dd3d84707a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "AI-assisted development, Software development, Modern frameworks" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 763.21155, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a7e1d74d8ee00a06685b7", "title" : "AI-Assisted Full Stack Engineer", "company" : "Hire Hangar", "industry" : "Clients", "salary" : { "min" : 2500.0, "max" : 7000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Peru - Lima", "locations" : [ "Peru - Lima", "Columbia - Bogotá", "Parugauy - Asuncion", "Belize - Belize City", "Honduras - Tegucigalpa", "Nicaragua - Managua", "Dominican Republic - Santo Domingo", "Mexico - Mexico City", "Argentina - Buenos Aires" ], "timestamp" : "2026-06-14T20:58:09.855", "fingerprint" : "392801edbac41243e1e5972ed7a2683e6c55c3fa8b3101354b964b635b4f991d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/hirehangar/5cab9b8f-c9d0-4e97-9f29-1ce42565b896/application", "externalId" : "5cab9b8f-c9d0-4e97-9f29-1ce42565b896", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "technicalSkills" : "Node.js, JavaScript", "professionalSkills" : [ "Product thinking" ], "majorSkills" : "Full Stack Engineering, AI-assisted development", "majorSkillsList" : [ "Full Stack Engineering", "AI-assisted development" ], "coreResponsibilities" : "Build full stack applications, Maintain full stack applications, Use AI-assisted coding tools, Generate code, Improve code, Collaborate with Product teams, Collaborate with Engineering teams, Deliver SaaS features, Translate workflows into technical solutions, Maintain clean code, Maintain scalable code, Maintain well-documented code, Work effectively in remote environment", "teamCollaboration" : "Product teams; Engineering teams; Remote distributed environment", "domainKnowledge" : "Logistics workflows; Trucking workflows", "domainList" : [ "logistics-workflows", "trucking-workflows" ], "domainSpecificKnowledge" : [ "Logistics workflows", "Trucking workflows" ], "toolProficiency" : [ "Claude" ], "documentationSkills" : "Well-documented code", "qualificationsBasic" : "Experience building SaaS products, Full Stack Engineering role experience, Node.js and JavaScript proficiency, Logistics or trucking software industry background, Experience using AI coding tools, Product mindset, Understanding of customer workflows, Ability to work with 4-5 hours overlap with US PST, Prior remote work experience", "qualificationsPreferred" : "Experience with modern front-end frameworks, Experience with APIs, Communication skills, Collaboration skills", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career. Job Title: AI-Assisted Full Stack Engineer Location: Remote Time Zone: 4–5 Hours Daily Overlap with US PST ROLE OVERVIEW We are seeking an AI-Assisted Full Stack Engineer to support the development of SaaS products in the logistics and trucking industry. This role is ideal for an engineer who combines strong product thinking with modern AI-assisted development workflows using tools such as Claude. KEY RESPONSIBILITIES • Build and maintain full stack applications using Node.js and JavaScript • Use AI-assisted coding tools such as Claude to generate and improve code • Collaborate with Product and Engineering teams to deliver SaaS features • Translate logistics and trucking workflows into technical solutions • Maintain clean, scalable, and well-documented code • Work effectively in a remote, distributed environment REQUIRED QUALIFICATIONS • Experience building SaaS products in a Full Stack Engineering role • Strong proficiency in Node.js and JavaScript across front and back end • Logistics or trucking software industry background is mandatory • Experience using AI coding tools such as Claude for code generation • Strong product mindset and understanding of customer workflows • Ability to work with 4–5 hours overlap with US PST • Prior remote work experience required PREFERRED QUALIFICATIONS • Experience with modern front-end frameworks and APIs • Strong communication and collaboration skills TOOLS & TECHNOLOGY • Languages: Node.js, JavaScript • AI Tools: Claude or similar • Collaboration: Slack, Zoom, Google Workspace Please Note It is crucial that you complete the application form in full. As part of the application process, you will be required to complete a short technical assessment. If your application is successful, you will receive an email confirming next steps. Applications that are not completed in full will not be considered for any open roles. We connect top talent with vetted employers, competitive pay, and real growth opportunities.", "summaryDescription" : "AI-Assisted Full Stack Engineer at Hire Hangar. Skills: Full Stack Engineering, AI-assisted development. Build full stack applications. Maintain full stack applications", "postedDate" : "2026-06-11T16:29:11.796", "createdAt" : "2026-06-11T16:29:11.796", "lastUpdated" : "2026-06-14T20:58:09.855", "ingestTimestamp" : "2026-06-11T16:29:11.796", "mongoId" : "6a2a7e1d74d8ee00a06685b7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 2500, "salaryAnnualMax" : 7000, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Full Stack Engineering", "AI-assisted development", "Product thinking", "Logistics workflows", "Trucking workflows", "Claude" ], "skillCount" : 6, "jobCategory" : "other", "jobSubcategory" : "clients", "dataQualityScore" : 0.8888889, "_score" : 722.0389, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "logistics and trucking" }, { "id" : "6a191e7758b93c861e39f6b0", "title" : "Project & Product Management of Autonomous Driving", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 650000.0, "max" : 1100000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Project & Product Management in the Automotive industry in Beijing, China, adjusted for company size and seniority." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "8 Boxing Road, BDA, Beijing" ], "timestamp" : "2026-06-16T01:46:38.785", "fingerprint" : "d9ec25ee665eef7e77503620db71e7d3ebffc0707de090e8551651c11cb0f8de", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=898617", "externalId" : "898617", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "technicalSkills" : "AI", "professionalSkills" : [ "Product management", "Project management", "Resource management", "Risk management", "Supplier management", "Change management", "Business case evaluation", "Demand management", "Test management", "Legal evaluation", "Organization build-up" ], "hardSkillsList" : [ "Software development", "Hardware development", "Vehicle development", "Product industrialization" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Hardware development", "level" : "intermediate" }, { "name" : "Vehicle development", "level" : "intermediate" }, { "name" : "Product industrialization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Product management, Project management, Autonomous Driving, ADAS", "majorSkillsList" : [ "Product management", "Project management", "Autonomous Driving", "ADAS" ], "coreResponsibilities" : "Lead MB. OS ADAS product & project development, Coordinate project management for MB ADAS projects, Track product & project maturity status, Create transparency about project scopes and timeline, Report project status, Manage resources, Manage risks, Co-work with Domain regards of supplier management, Maintain development project management system, Act as interface between different projects, Provide development project information, Provide technical consultant, Define cross functional ADAS product development system, Define cross functional ADAS product development tools, Own defined product development system, Own defined product development tools, Provide transparency to stakeholders, Drive development of system and processes, Plan project resources, Plan project budget, Align with RD HQ, Align with controlling, Lead resource lifecycle management, Utilize planned resource intelligently, Create project holistic overview, Update project premise handbook, Update project timeline, Communicate cross domainly, Define project scope, Define feature roll-out plan, Monitor implementation status, Defect project risks, Support supplier dialog, Support supplier meetings, Align product strategy, Support project business case evaluation, Support RD related funding, Manage escalation, Manage project delay, Manage resource shortage, Manage critical supplier performance, Steer change requests, Manage change cost, Manage change timeline, Provide technical support, Support surrounding processes, Support demand management, Support test management, Support legal evaluation, Support team matters, Support organization build-up", "teamCollaboration" : "Cross functional teams; Multi-stakeholder management; Diverse business partners", "projectManagementSkills" : [ "Agile", "Scrum", "PMP", "Jira", "Confluence" ], "domainKnowledge" : "Autonomous Driving; ADAS; Vehicle hardware; Vehicle software; Vehicle EE architecture; Vehicle SW architecture; Carline product industrialization; Series production; China-fit product", "domainList" : [ "autonomous-driving", "adas", "vehicle-hardware", "vehicle-software", "vehicle-ee-architecture", "vehicle-sw-architecture", "carline-product-industrialization", "series-production", "china-fit-product" ], "domainSpecificKnowledge" : [ "Autonomous Driving", "ADAS", "Vehicle hardware", "Vehicle software", "Vehicle EE architecture", "Vehicle SW architecture", "Carline product industrialization", "Series production", "China-fit product" ], "toolProficiency" : [ "MS Office", "PowerPoint", "Excel", "Word", "Jira", "Confluence" ], "communicationSkills" : "Presentation skills", "specialRequirements" : "Willingness to travel", "qualificationsBasic" : "Master degree in electrical engineering, software engineering or computer science, 5+ years of experience in software development projects, Excellent skills in multi-stakeholder management, Good skills in conflict management, Advanced MS Office skills, Very good English", "qualificationsPreferred" : "Work experience at OEMs or suppliers, E/E especially ADAS and SW development experience, Working experience in international company, Experience with ADAS components/application, Experience working in an Agile development environment, Experience as scurm master or product owner, Advance knowledge in project management methodologies, PMP certification, Good knowledge & experiences about hardware/software/carline product industrialization, Know-how with vehicle EE architecture, Know-how with SW architecture/development, Familiar with vehicle development process, Experiences in collaboration with Joint venture partner, Experiences in supplier management, Good spirit, knowledge & experiences about AI tools, German language skills", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : " Object : Responsible as project lead for MB.OS ADAS product & project development for MB carlines in China market. Leading and coordinating the project management for MB ADAS projects in sense of development & industrialization phase, carline rollout phase and also change management within lifecycle. Responsible for product & project maturity status tracking towards carline SoP. Create transparency about projects scopes and timeline, be responsible for project status report, resources management and risk management, co-work with Domain regards of supplier management, maintain an efficient development project management system within the project lifecycle time Job designation/Field of work: Collaborate with different stakeholders, acting as the interface between different projects and providing necessary development project information and technical consultant for relevant stakeholders . Define and conduct cross functional ADAS product development system and tools for China market development projects. In order to create transparency for project milestone cross domainly, as well as resource distribution . Own the defined product development system and tools and provide the transparency to all stakeholders. Drive continously the development of the system and processes to ensure the high requirement of project management and effienciency . Project resource & budget planning including FTE & VMAT etc and alignment with RD HQ and controlling. Lead the resource lifecycle management according to different project . phases/workloads/milestone in order to ultilize the planned resource in an intelligent and reasonable way. Regular project status report to create project holistic overview for the relevant stakeholders and management . Regular project premise handbook and timeline update and cross domain communication to FO/PO and management . Define project scope and feature roll-out plan and monitoring the implementation status on each milestone . Management escalation by defecting project risks as earlier as possible. Support supplier dialog/meetings with management for critical projects . Product strategy alignment with multi - stakeholders . Support on project business case evaluation including RD related funding . Escalation and risk management: e.g. project delay, resource shortage, critical supplier performance at the delivery milestone etc. Change management during the project lifecycle time: Overall steering the change requests, cost and timeline management for the change implementation . Technical support for Project leaders and function managers with project management knowledge . Support surrounding processes (demand management, test management, legal evaluation) to cover the complete lifecycle of delivering a “China-fit” product. Support on Team matters, and organization build-up . Qualifications: Education: Master degree in electrical engineering, software engineering or computer science, or similar major Experience: Good knowledge/experience about vehicle hardware/software development project . Work experience at OEMs or suppliers for E/E especially ADAS and SW development is a plus. At least 5+ years of experience in software development projects . At least 5+ years of experience in software development projects . Working experience in international company is a plus. Experience with ADAS components/application is plus, e.g. Auto Parking, Driving assistant system, AEB… Experience working in an Agile development environment, Agile/Scrum methodology, experience as scurm master or product owner is plus . Specific Knowledge & requirements: Advance knowledge in terms of methodologies in project management, e.g. project plan, risk analysis, PMP is a plus. Good understanding about hardware & software development & quality methodologies, good knowledge & experiences about hardware/software/carline product industrialization for vehicle series production . Know-how with vehicle EE architecture and SW architecture/development is a plus . Familiar with vehicle development process is an advantage, experiences in collaboration with Joint venture partner or is a plus . Experiences in supplier management is a plus . Excellent skills in multi-stakeholder management and diverse business partners, experiences and good skills in conflict management is need . Advanced MS Office skills in PowerPoint, Excel and Word. Good spirit, knowledge & experiences about AI tools is a plus . Experience with Jira and Confluence or similar PM tools. Self-responsibility with high motivation for moving things forward, team player with team spirit . Leading and drive spirit with excellent communication, interpersonal and presentation skills . Willingness to travel inside China and foreign countries. Open minded for taking over challenges & responsibility with resilience . Very good English. German is a plus. Mercedes-Benz Group China Ltd.", "summaryDescription" : "Project & Product Management of Autonomous Driving at Mercedes-Benz Group China Ltd.. Skills: Product management, Project management, Autonomous Driving, ADAS. Lead MB. OS ADAS product & project development. Coordinate project management for MB ADAS projects", "createdAt" : "2026-06-14T19:19:36.333", "lastUpdated" : "2026-06-16T01:46:38.785", "ingestTimestamp" : "2026-06-14T19:19:36.333", "mongoId" : "6a191e7758b93c861e39f6b0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software development", "Hardware development", "Vehicle development", "Product industrialization", "Leadership", "Product management", "Project management", "Autonomous Driving", "ADAS", "Resource management", "Risk management", "Supplier management", "Change management", "Business case evaluation", "Demand management", "Test management", "Legal evaluation", "Organization build-up", "Agile", "Scrum", "PMP", "Jira", "Confluence", "Vehicle hardware", "Vehicle software", "Vehicle EE architecture", "Vehicle SW architecture", "Carline product industrialization", "Series production", "China-fit product", "MS Office", "PowerPoint", "Excel", "Word" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "_score" : 720.4241, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a210e4274d8ee00a0af694e", "title" : "AI Adoption Customer Engineer, Google Cloud (English, Korean)", "company" : "Google", "industry" : "Technology", "salary" : { "min" : 9.5E7, "max" : 1.4E8, "currency" : "KRW", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level AI Adoption Customer Engineer in Seoul, South Korea, adjusted for Google's industry and company size." }, "location" : "[Seoul, South Korea, [Seoul, South Korea], null, null, Seoul, KR]", "locations" : [ "[Seoul, South Korea, [Seoul, South Korea], null, null, Seoul, KR]" ], "timestamp" : "2026-06-16T11:56:58.497", "fingerprint" : "00040a34df46cb5465df6a8e629882e95321b44c7a2aa0fa950de4f97310e479", "source" : "google", "language" : "en", "externalId" : "78464654405182150", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seoul", "country" : "South Korea", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "37.5666791,126.9782914" } ], "locationText" : "Seoul, South Korea", "summaryDescription" : "AI Adoption Customer Engineer, Google Cloud (English, Korean) at Google", "postedDate" : "2026-06-16T01:48:27.790", "createdAt" : "2026-06-16T01:48:27.790", "lastUpdated" : "2026-06-16T11:56:58.497", "ingestTimestamp" : "2026-06-16T01:48:27.790", "mongoId" : "6a210e4274d8ee00a0af694e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "_score" : 709.05853, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a80a974d8ee00a066dc7c", "title" : "AI Enablement & Adoption Manager", "company" : "Nimble Gravity", "industry" : "Financial Services", "salary" : { "min" : 1.2E8, "max" : 1.8E8, "currency" : "COP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in FinTech in Colombia, adjusted for seniority and remote work." }, "location" : "LATAM (Remote)", "locations" : [ "LATAM (Remote)", "US (Remote)" ], "timestamp" : "2026-06-14T20:18:41.823", "fingerprint" : "b17a032df88fc11e0b24960f7eb8f7fc96b5a81d577e652ad9f96126fb4468a9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nimblegravity/jobs/4704412005", "externalId" : "4704412005", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Colombia", "continent" : "sa", "workMode" : "remote" }, { "country" : "Latin America", "workMode" : "remote" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Colombia; Latin America; United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Manager", "technicalSkills" : "AI, Generative AI", "professionalSkills" : [ "Business acumen", "Client relationship management", "Organizational adoption", "AI enablement", "AI adoption", "AI value realization", "Business process improvement", "Change management", "Risk management", "Compliance alignment", "Governance alignment" ], "hardSkillsList" : [ "Workshop facilitation", "Training delivery", "Adoption strategy development", "Metric definition", "Metric tracking", "User engagement measurement", "Business outcome measurement", "Feedback gathering", "Program improvement" ], "softSkillsList" : [ "Communication", "Facilitation", "Enthusiasm" ], "hardSkills" : [ { "name" : "Workshop facilitation", "level" : "intermediate" }, { "name" : "Training delivery", "level" : "intermediate" }, { "name" : "Adoption strategy development", "level" : "intermediate" }, { "name" : "Metric definition", "level" : "intermediate" }, { "name" : "Metric tracking", "level" : "intermediate" }, { "name" : "User engagement measurement", "level" : "intermediate" }, { "name" : "Business outcome measurement", "level" : "intermediate" }, { "name" : "Feedback gathering", "level" : "intermediate" }, { "name" : "Program improvement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication" }, { "name" : "Facilitation" }, { "name" : "Enthusiasm" } ], "majorSkills" : "AI Enablement, Client Adoption, Training Delivery", "majorSkillsList" : [ "AI Enablement", "Client Adoption", "Training Delivery" ], "coreResponsibilities" : "Lead AI enablement programs, Help clients adopt AI tools, Help clients adopt AI workflows, Develop enablement plans, Drive awareness, Drive adoption, Drive long-term usage, Facilitate workshops, Facilitate training sessions, Facilitate office hours, Facilitate hands-on demonstrations, Help teams understand AI, Help teams understand AI benefits, Serve as AI advocate, Build excitement around AI adoption, Build confidence around AI adoption, Help stakeholders navigate concerns, Help stakeholders answer questions, Help stakeholders identify opportunities, Incorporate AI into processes, Partner with technical teams, Translate technical capabilities, Support organizational adoption, Identify barriers to adoption, Create communications, Create learning materials, Help users embrace new ways, Measure success, Define adoption metrics, Track adoption metrics, Define user engagement, Track user engagement, Define business outcomes, Track business outcomes, Gather feedback, Improve enablement programs, Navigate regulated environments, Adopt AI responsibly, Align with governance requirements, Align with compliance requirements, Align with risk management requirements", "teamCollaboration" : "Work with business users; Work with leaders; Work with delivery teams; Partner with technical teams; Work with engineers; Work with consultants; Work with delivery leaders; Work with AI specialists", "domainKnowledge" : "Banking industry; Financial services industry; Insurance industry; Regulated environments; AI in business; AI in financial services", "domainList" : [ "banking-industry", "financial-services-industry", "insurance-industry", "regulated-environments", "ai-in-business", "ai-in-financial-services" ], "domainSpecificKnowledge" : [ "Banking industry", "Financial services industry", "Insurance industry", "Regulated environments", "AI in business", "AI in financial services" ], "toolProficiency" : [ "Claude" ], "communicationSkills" : "Presentation skills; Facilitation skills; Executive presentations; Business stakeholder presentations; End user training", "problemSolvingSkills" : "Identify barriers to adoption; Translate technical concepts", "outcomesObjectives" : "Turn data into results; Turn AI into results; Turn technology into results; Move AI into production; Ensure AI becomes work; Realize value from AI; Improve how work gets done; Turn technology into outcomes", "qualificationsBasic" : "5-10 years experience in enablement, 5-10 years experience in training, 5-10 years experience in consulting, 5-10 years experience in organizational adoption, Experience working in banking, Experience working in financial services, Experience working in insurance, Experience working in regulated industry, Exceptional presentation skills, Exceptional facilitation skills, Experience leading sessions with executives, Experience leading sessions with business stakeholders, Experience leading sessions with end users, Ability to influence skeptical audiences, Ability to engage skeptical audiences, Ability to build excitement around new technologies, Ability to build excitement around new ways of working, Experience developing training programs, Experience delivering training programs, Experience developing enablement programs, Experience delivering enablement programs, Experience developing adoption programs, Experience delivering adoption programs, Enterprise software adoption programs experience, Digital transformation adoption programs experience, AI initiatives adoption programs experience, Ability to translate technical concepts, Hands-on experience with generative AI tools, Comfortable operating in client-facing consulting environment, Comfortable with multiple stakeholders, Comfortable with evolving priorities", "qualificationsPreferred" : "Prosci certification a plus, ACMP certification a plus, Instructional design certification a plus, Related certifications a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "AI Enablement & Adoption Manager Remote | US or LATAM At Nimble Gravity, we help organizations turn data, AI, and technology into measurable business results. We're helping banks, insurance companies, and other financial institutions move AI from experimentation into production. The AI Enablement & Adoption Manager helps clients understand, adopt, and realize value from AI. You'll work directly with business users, leaders, and delivery teams to ensure AI becomes part of how work gets done. You'll lead workshops, deliver training, develop adoption strategies, and help organizations build confidence using tools like Claude in real business processes. This is a highly client-facing role. Success requires strong communication, facilitation skills, business acumen, and enthusiasm for AI. What You'll Do Lead AI enablement programs Help clients successfully adopt AI tools and workflows. Develop enablement plans that drive awareness, adoption, and long-term usage. Facilitate workshops and training Lead workshops, training sessions, office hours, and hands-on demonstrations for business users and leaders. Help teams understand not only how AI works, but how it can improve the way they work. Serve as an AI advocate Build excitement and confidence around AI adoption. Help stakeholders navigate concerns, answer questions, and identify opportunities to incorporate AI into day-to-day processes. Partner with technical teams Work alongside engineers, consultants, and delivery leaders to translate technical capabilities into practical business outcomes. Support organizational adoption Identify barriers to adoption and create communications, learning materials, and other resources that help users embrace new ways of working. Measure success Define and track adoption metrics, user engagement, and business outcomes. Gather feedback and continuously improve enablement programs. Navigate regulated environments Help financial services and insurance organizations adopt AI responsibly while aligning with governance, compliance, and risk management requirements. What You'll Bring 5-10 years of experience in enablement, training, consulting, organizational adoption, or a related field Experience working in banking, financial services, insurance, or another regulated industry Exceptional presentation and facilitation skills, including experience leading sessions with executives, business stakeholders, and end users Ability to influence and engage skeptical audiences while building excitement around new technologies and ways of working Experience developing and delivering training, enablement, or adoption programs for enterprise software, digital transformation, or AI initiatives Ability to translate technical concepts into practical guidance for business users Hands-on experience with generative AI tools and a strong understanding of how AI is changing business processes and ways of working Comfortable operating in a client-facing consulting environment with multiple stakeholders and evolving priorities Prosci, ACMP, instructional design, or related certifications are a plus Why Join Nimble Gravity? You'll help leading financial institutions adopt AI in meaningful ways. You'll work directly with clients, engineers, and AI specialists to turn emerging technology into measurable business outcomes. If you enjoy teaching, facilitating, influencing, and helping people embrace new ways of working, we'd love to talk. Nimble Gravity is an Equal Opportunity Employer and considers applicants without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We do not sponsor H1B visas", "summaryDescription" : "AI Enablement & Adoption Manager at Nimble Gravity. Skills: AI Enablement, Client Adoption, Training Delivery. Lead AI enablement programs. 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We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast. Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences. LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more. About the role: We’re hiring Sales Development Representatives to join our founding SDR team and help shape the future of how companies adopt LangChain. As part of our SDR team, you’ll turn high inbound interest and targeted outbound demand into qualified opportunities and create an exceptional first-touch experiences for prospects. You’ll work closely with our Marketing, Sales, and Operations alongside using LangChain and LangGraph-powered agents to automate list building, enrichment, and outreach freeing you to focus entirely on high-impact prospecting and conversations with teams exploring agentic AI. What makes this role different: You’ll drive pipeline and revenue while learning to leverage AI, automation, and LangChain itself to become a next-generation GTM operator. What you will do: - Follow up with inbound and outbound prospects via phone, email, and LinkedIn to uncover fit, needs, and potential value. - Partner closely with Account Executives to hand off qualified opportunities and ensure a smooth buyer experience. - Capture and share insights from conversations to inform our sales plays, product roadmap, and agent development. - Experiment with new channels, messaging, and automation to continuously increase conversion and efficiency. - Use LangChain powered agents to test, learn, and improve prospecting strategies How to be successful in this role: - 1–2 years of experience in a Sales, SDR, or BDR role within SaaS or technology (or strong curiosity and drive if you’re early in your career) - Clear, confident communicator who can engage both technical and business audiences - Motivated by learning, iteration, and experimentation you treat outreach like a craft - Comfortable with a mix of structure and ambiguity you can execute repeatable processes while improving them along the way - Excited about modern sales tech, AI tools, and shaping how next-generation GTM teams operate - Positive, persistent, and highly organized you follow up, follow through, and bring energy to every interaction Compensation & Benefits - Compensation: We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. - On target Earnings: $125,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.", "summaryDescription" : "Sales Development Representative at LangChain. Skills: Sales Development, Prospecting, AI adoption. Follow up with prospects. 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Internal teams; Product teams; Implementation teams; Engineering teams", "domainKnowledge" : "Healthcare operations; Clinical workflows; Artificial intelligence; Real-world adoption; Healthcare organizations; Clinical environments; Administrative environments; AI-native workflow automation; Behavioral health", "domainList" : [ "healthcare-operations", "clinical-workflows", "artificial-intelligence", "real-world-adoption", "healthcare-organizations", "clinical-environments", "administrative-environments", "ai-native-workflow-automation", "behavioral-health" ], "domainSpecificKnowledge" : [ "Healthcare operations", "Clinical workflows", "Artificial intelligence", "Real-world adoption", "Healthcare organizations", "Clinical environments", "Administrative environments", "AI-native workflow automation", "Behavioral health" ], "communicationSkills" : "Stakeholder management", "specialRequirements" : "Onsite work required Monday through Thursday", "outcomesObjectives" : "Customer adoption depth; Customer retention; Workflow utilization; Customer health; Customer expansion; Measurable impact; Sustained customer outcomes", "qualificationsBasic" : "4+ years customer success experience, 4+ years account management experience, 4+ years implementation experience, 4+ years consulting experience, Experience driving customer adoption, Experience driving customer retention, Experience driving customer expansion, Experience working cross-functionally, Communication skills, Stakeholder management skills, Experience operating in fast-paced environments, Experience operating in high-accountability environments, Active use of AI tools", "qualificationsPreferred" : "Healthcare technology experience, Clinical operations experience, Compliance experience, Behavioral health experience, AI-powered platforms experience, Workflow automation platforms experience, Enterprise SaaS experience, Mid-market SaaS experience, Onboarding experience, Implementation experience, Change management experience, Regulated industries experience, Operationally complex industries experience", "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. The platform reduces administrative burden, improves documentation quality, strengthens compliance readiness, and drives operational efficiency through AI-native workflow automation. The company operates at the intersection of healthcare operations, clinical workflows, artificial intelligence, and real-world adoption—where success depends on trust, sustained usage, and deep workflow integration. We are seeking a Customer Success Manager to drive customer adoption, retention, expansion, and long-term customer outcomes across the Clinically AI platform. This is not a traditional account management role focused on relationship maintenance or reactive support. This role operates at the intersection of customer strategy, workflow adoption, implementation execution, and AI-driven operational transformation. If you're the right person for this role, you think in terms of workflows, systems, and measurable outcomes: not simply accounts or activity. In this role, you will own customer adoption, retention, expansion, and long-term value realization across healthcare organizations using Clinically AI. You will drive onboarding and ongoing workflow integration across clinical, administrative, compliance, and operational stakeholders, ensuring AI becomes embedded into daily operations and delivers measurable impact. You will translate customer workflows, operational challenges, and adoption signals into structured insights that inform both customer success strategy and product direction. You will operate across customers and internal teams to ensure strong adoption, clear execution, and sustained customer outcomes. Success in this role is defined by adoption depth, retention, workflow utilization, customer health, and expansion: not activity volume or account management. KEY ATTRIBUTES TO SUCCEED Customer Outcome Orientation You focus on measurable outcomes and operational impact rather than activity or relationship management. Workflow-Centered Thinking You understand how healthcare organizations operate in real clinical and administrative environments and how AI must integrate into those workflows. AI-Native Execution You actively use AI tools in your daily workflow to drive speed, clarity, and operational effectiveness. Systems Thinking You understand how adoption, workflows, product usage, and customer health connect into a single system. Communication & Influence You communicate clearly across clinicians, administrators, executives, and internal teams and drive alignment around decisions and execution. Startup Adaptability You operate effectively in ambiguity, rapid iteration cycles, and evolving priorities. REQUIRED - 4+ years of experience in Customer Success, Account Management, Implementation, Consulting, or similar customer-facing roles in SaaS, healthcare technology, or workflow software environments - Experience driving customer adoption, retention, or expansion outcomes - Experience working cross-functionally with product, implementation, or engineering teams - Strong communication and stakeholder management skills across complex customer environments - Experience operating in fast-paced, high-accountability environments - Active use of AI tools in your daily workflow PREFERRED NOT REQUIRED (Nice to Have) - Healthcare technology, clinical operations, compliance, or behavioral health experience - Experience with AI-powered or workflow automation platforms - Experience in enterprise or mid-market SaaS environments - Experience with onboarding, implementation, or change management - Experience operating in regulated or operationally complex industries This is a full-time hybrid role based in San Diego, CA, with onsite work required Monday through Thursday. We offer competitive compensation, equity participation, healthcare coverage, and flexible time off. The base salary range for this role is $95,000–$135,000 annually, depending on experience, customer success expertise, healthcare technology background, and demonstrated ability to drive adoption and retention outcomes in workflow-driven environments. In addition, performance-based variable compensation is tied to customer retention, adoption, expansion, and customer health outcomes, with a bonus structure of 10%–20% of base salary at target performance. In certain cases, candidates outside this range may be considered if their background in healthcare technology, enterprise customer success, workflow transformation, or AI adoption strongly aligns with the needs of the role. The interview process includes conversations focused on customer success execution, workflow adoption, stakeholder management, and operational thinking. Final candidates will complete a Customer Adoption & Workflow Strategy exercise, presenting a structured approach to onboarding, adoption scaling, customer health tracking, and expansion identification in a healthcare AI environment. 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" : "Customer Success Manager (Healthcare AI Adoption & Customer Outcomes) at Clinically AI. Skills: Customer adoption, Customer retention, Customer outcomes, Workflow integration. Own customer adoption. Own customer retention", "createdAt" : "2026-06-14T04:45:50.832", "lastUpdated" : "2026-06-15T13:38:21.325", "ingestTimestamp" : "2026-06-14T04:45:50.832", "mongoId" : "6a2ce86674d8ee00a0a6a9a4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Workflow utilization", "Customer health monitoring", "Influence", "Customer adoption", "Customer retention", "Customer outcomes", "Workflow integration", "Operational transformation", "Customer strategy", "Workflow adoption", "Implementation execution", "Workflow analysis", "Adoption signals analysis", "Product direction input", "Customer success strategy", "Healthcare operations", "Clinical workflows", "Artificial intelligence", "Real-world adoption", "Healthcare organizations", "Clinical environments", "Administrative environments", "AI-native workflow automation", "Behavioral health" ], "skillCount" : 24, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 670.6524, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c682574d8ee00a09026bf", "title" : "Software Development Manager - AI Solutions", "company" : "LawDepot", "industry" : "Information Systems", "salary" : { "min" : 145000.0, "max" : 205000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Software Development Manager in AI Solutions in Edmonton, Canada, adjusted for manager seniority and full-time employment." }, "location" : "Alberta, Remote", "locations" : [ "Alberta, Remote" ], "timestamp" : "2026-06-16T02:31:24.988", "fingerprint" : "9b6b7d148893d6b10cbfdc7f056f567077527f7fc56ed5b74407fa13e199349c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lawdepot/641df3b3-e3fa-4743-a652-7b7e4215674a/application", "externalId" : "641df3b3-e3fa-4743-a652-7b7e4215674a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Edmonton", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "53.5462055,-113.4912410" }, { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Edmonton, Alberta, Canada; Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "AI, LLM, AI-Native development, AI coding tools, AI evaluation frameworks, AI-assisted software delivery", "professionalSkills" : [ "Technical leadership", "Product strategy", "Roadmaps", "System design", "Performance management", "Career development", "Business requirements", "Delivery plans", "Privacy", "Security", "Quality", "Risk", "Compliance" ], "hardSkillsList" : [ "AI adoption", "AI literacy", "AI tools", "AI-Native 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"name" : "Performance expectations", "level" : "intermediate" }, { "name" : "Metrics", "level" : "intermediate" }, { "name" : "Data analytics", "level" : "intermediate" }, { "name" : "Performance management", "level" : "intermediate" }, { "name" : "Accountability", "level" : "intermediate" }, { "name" : "Execution", "level" : "intermediate" }, { "name" : "Coaching", "level" : "intermediate" }, { "name" : "Feedback", "level" : "intermediate" }, { "name" : "Knowledge sharing", "level" : "intermediate" }, { "name" : "Hiring", "level" : "intermediate" }, { "name" : "Product Owners", "level" : "intermediate" }, { "name" : "Business stakeholders", "level" : "intermediate" }, { "name" : "Customer needs", "level" : "intermediate" }, { "name" : "AI governance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "AI Solutions, Software Development Management, AI-powered products", "majorSkillsList" : [ "AI Solutions", "Software Development Management", "AI-powered products" ], "coreResponsibilities" : "Provide technical leadership for architecture, Provide technical leadership for design, Provide technical leadership for development, Provide technical leadership for deployment, Provide technical leadership for ongoing improvement of AI-powered, Manage Software Developers, Manage Data Scientists, Manage related technical contributors, Create a high-performing team, Foster technical excellence, Lead the delivery of AI-enabled products, Lead the delivery of AI-enabled features, Improve the legal solutions experience, Advocate for AI adoption, Guide AI adoption, Help internal teams improve AI literacy, Help internal teams use AI tools productively, Help internal teams use AI tools securely, Help internal teams use AI tools responsibly, Establish best practices for AI-Native development, Maintain best practices for AI-Native development, Research AI tools, Evaluate AI tools, Recommend AI tools, Research development workflows, Evaluate development workflows, Recommend development workflows, Research model integrations, Evaluate model integrations, Recommend model integrations, Research technology decisions, Evaluate technology decisions, Recommend technology decisions, Own the AI roadmap, Prioritize initiatives, Manage project schedules, Manage scope, Manage work estimates, Manage dependencies, Manage risks, Manage resources, Manage delivery expectations, Set team objectives, Establish performance expectations, Utilize metrics, Utilize data analytics, Conduct performance management, Drive accountability, Drive execution, Mentor team members, Develop team members, Conduct coaching, Provide regular feedback, Conduct code reviews, Facilitate knowledge sharing, Support career development, Hire team members, Partner with Product Owners, Partner with cross-functional business stakeholders, Define business requirements, Align technical work with business goals, Translate customer needs into delivery plans, Translate internal needs into delivery plans, Support responsible AI governance, Consider privacy requirements, Consider security requirements, Consider quality requirements, Consider risk requirements, Consider compliance requirements", "teamCollaboration" : "Cross-functional business stakeholders; Product Owners", "projectManagementSkills" : [ "Roadmaps", "Prioritize initiatives", "Project schedules", "Scope", "Work estimates", "Dependencies", "Risks", "Resources", "Delivery expectations", "Agile delivery principles" ], "domainKnowledge" : "AI-powered experiences; AI-native development; Applied AI development; AI-assisted software delivery; AI coding tools; LLM integrations; AI evaluation; Agentic workflows; MCPs; AI-native SDLC; Responsible AI governance; Legal solutions", "domainList" : [ "ai-powered-experiences", "ai-native-development", "applied-ai-development", "ai-assisted-software-delivery", "ai-coding-tools", "llm-integrations", "ai-evaluation", "agentic-workflows", "mcps", "ai-native-sdlc", "responsible-ai-governance", "legal-solutions" ], "domainSpecificKnowledge" : [ "AI-powered experiences", "AI-native development", "Applied AI development", "AI-assisted software delivery", "AI coding tools", "LLM integrations", "AI evaluation", "Agentic workflows", "MCPs", "AI-native SDLC", "Responsible AI governance", "Legal solutions" ], "toolProficiency" : [ "Cursor", "Claude" ], "communicationSkills" : "Communication skills", "continuousLearning" : "LinkedIn Learning subscriptions; Training budgets", "problemSolvingSkills" : "Analytical judgment", "qualificationsBasic" : "Post-secondary education in Computing Science, Software Engineering, Artificial Intelligence, Data Science, or a related field, 5+ years of experience in software development, 2+ years in a leadership-oriented role, Practical experience delivering AI-enabled products, Understanding of applied AI development, Familiarity with leading AI platforms and tools, Technical leadership skills, Ability to build, mentor, and lead high-performing teams, Project and delivery management skills, Ability to evaluate and select platforms, tools, and technologies, Business acumen and analytical judgment", "qualificationsPreferred" : "Familiarity with product management, Familiarity with Scrum, Familiarity with Agile delivery principles, Ability to translate data into actionable insights", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "What the Role Does: Lead the team and technology shaping LawDepot’s next generation of AI-powered experiences. As the Software Development Manager - AI Solutions, you will lead the delivery of AI-powered products and features that create exceptional experiences for millions of users, while helping LawDepot expand the use of AI internally across the organization. You will manage technical team members, guide development practices, collaborate on product strategy and roadmaps, and establish the standards required to deliver secure, scalable, reliable, and valuable AI solutions. This is a full-time, permanent position working 37.5 hours per week, with the option to work hybrid from our Edmonton, Alberta office or fully remote across Canada. What You’ll Do: - Provide technical leadership for the architecture, design, development, deployment, and ongoing improvement of secure, scalable, and reliable AI-powered software solutions - Manage Software Developers, Data Scientists, and related technical contributors to create a high-performing team and foster technical excellence - Lead the delivery of AI-enabled products and features for our customers, improving the legal solutions experience for millions of users around the world - Advocate for and guide AI adoption across LawDepot, helping internal teams improve AI literacy and use AI tools productively, securely, and responsibly. - Establish and maintain best practices for AI-Native development, including code authoring, code reviews, automated testing, CI/CD, AI evaluation frameworks, production readiness, security, and technical debt management - Research, evaluate, and recommend AI tools, development workflows, model integrations, and technology decisions that align with business goals and long term company strategy - Own the AI roadmap and prioritize initiatives to ensure work is aligned with business goals, customer needs, technical feasibility, and organizational impact - Manage project schedules, scope, work estimates, dependencies, risks, resources, and delivery expectations for AI product initiatives and related software development work to ensure initiatives are completed on time and within budget - Set team objectives, establish performance expectations, utilize metrics and data analytics, and conduct performance management to drive accountability and strong execution - Mentor and develop team members through coaching, regular feedback, code reviews, knowledge sharing, performance management, career development support, and hiring as the team evolves - Partner with Product Owners and cross-functional business stakeholders to define business requirements, align technical work with business goals, and translate customer and internal needs into delivery plans - Support responsible AI governance by considering privacy, security, quality, risk, and compliance requirements What You Bring: The Essentials - Post-secondary education in Computing Science, Software Engineering, Artificial Intelligence, Data Science, or a related field - 5+ years of experience in software development, with 2+ years in a leadership-oriented role managing people, projects, processes, or technical delivery - Practical experience delivering AI-enabled products, features, platforms, or technology projects with a focus on quality, scalability, reliability, and on-time delivery - Strong understanding of applied AI development and AI-assisted software delivery, such as AI coding tools, LLM integrations, AI evaluation, agentic workflows, MCPs, or AI-native SDLC practices - Familiarity with leading AI platforms and tools (ex. Cursor, Claude), with the ability to evaluate their fit for development workflows, product features, and business needs - Strong technical leadership skills, including the ability to guide architecture, system design, development, testing, deployment, and continuous improvement of secure and scalable software solutions - Ability to build, mentor, and lead high-performing teams - Strong communication skills, with the ability to engage effectively with team members, stakeholders, and senior leadership to align technical work with company goals - Project and delivery management skills, including the ability to own roadmaps, prioritize initiatives, manage scope, schedules, estimates, dependencies, risks, resources, and delivery expectations - Ability to evaluate and select platforms, tools, and technologies that align with business goals, budgets, customer needs, and technical feasibility - Strong business acumen and analytical judgment, with the ability to use metrics, performance data, and customer insights to guide decisions and drive accountability The Nice to Haves (Great if you have it and we’ll help you learn if you don’t) - Familiarity with product management, Scrum, Agile delivery practices, or tools such as Azure Boards - Hands-on knowledge of our existing tech stack: C#, .NET 7+, Vue, TypeScript or JavaScript, Microsoft SQL Server, REST APIs, Entity Framework Core, Git, or automated testing frameworks - Experience with organizational change management, AI adoption programs, technical transformation, or developer enablement initiatives - Ability to create reporting tools / scripts that support business teams, with an understanding of data analysis, data science principles, and how to translate data into actionable insights Why You Should Join the LawDepot Team: - Excellent total compensation package - Comprehensive health and dental benefits, plus an additional Health Care Spending Account - Great work life balance (37.5 hour work weeks, flexible schedules, ability to bank hours) - Paid vacation, plus bonus personal days - Continuous learning opportunities, including LinkedIn Learning subscriptions and training budgets - Company share plan - Free catered lunches for the entire office - Monthly social events for team members to enjoy (think axe throwing, rock climbing, board games, food trucks, trivia contests, and charitable activities) - Work alongside talented, driven colleagues in a culture focused on quality, reliability, innovation, and growth - Personal offices for focused work and to have your individual space (plus collaborative workspaces for when you want to meet with the team) - Free and easily accessible parking - Southgate Mall, Whyte Ave, and Calgary Trail restaurants are only minutes away - Hybrid working arrangements for that balance between getting work done at home and engaging with others in the office Who We Are: Join one of the fastest growing companies in Canada! LawDepot is proud to be a seven-time Growth 500 ranked organization and a major player in the Global legal solutions industry. Our mission is to modernize the legal document creation experience by empowering people with fast, easy-to-use, and professional solutions. With over ten million satisfied customers worldwide, over two million monthly website visitors, and billions of dollars saved on legal fees, you will be joining a team that is truly making a difference. At LawDepot, we foster a collaborative and inclusive learning culture that values excellence and diversity. Apply today and become a part of our exciting journey! How to Apply: Apply for this job here or submit your application through our Careers page at https://www.lawdepot.ca/career. We thank all applicants; however, only those selected for an interview will be contacted. #LI-DNI", "summaryDescription" : "Software Development Manager - AI Solutions at LawDepot. 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"title" : "Creative Mixing Lead – AI-Assisted Dubbing, Localization Enablement & Accessibility Programs (LEAP)", "company" : "Amazon.com Services LLC", "industry" : "Audio / Video / Photography Production, Marketing, entertainment", "salary" : { "min" : 120500.0, "max" : 163000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Culver City, California, USA", "locations" : [ "Culver City, California, USA" ], "timestamp" : "2026-06-15T02:19:02.894", "fingerprint" : "d9c3f75454cdca361e9d922f702c255585c059030044723dd204e1ac99fab43f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10444108/apply", "externalId" : "d59b62a7-0c71-4b49-9f1b-112c11111786", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Culver City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0211224,-118.3964660" } ], "locationText" : "Culver City, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "ProTools, Audio editing, Video editing, AI/ML media", "professionalSkills" : [ "Audio post-production", "Mixing", "Re-recording", "Sound design", "Localization", "Accessibility programs", "Creative strategy", "Quality benchmarks", "Process improvement", "Responsible AI" ], "hardSkillsList" : [ "Audio mixing", "Re-recording", "Audio post-production", "Dialogue mixing", "DME stem workflows", "Broadcast delivery", "Streaming delivery", "Loudness compliance", "Spatial coherence", "Dialogue intelligibility", "Tonal consistency" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Audio mixing", "level" : "intermediate" }, { "name" : "Re-recording", "level" : "intermediate" }, { "name" : "Audio post-production", "level" : "intermediate" }, { "name" : "Dialogue mixing", "level" : "intermediate" }, { "name" : "DME stem workflows", "level" : "intermediate" }, { "name" : "Broadcast delivery", "level" : "intermediate" }, { "name" : "Streaming delivery", "level" : "intermediate" }, { "name" : "Loudness compliance", "level" : "intermediate" }, { "name" : "Spatial coherence", "level" : "intermediate" }, { "name" : "Dialogue intelligibility", "level" : "intermediate" }, { "name" : "Tonal consistency", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Audio mixing, AI-assisted dubbing, Localization, Accessibility", "majorSkillsList" : [ "Audio mixing", "AI-assisted dubbing", "Localization", "Accessibility" ], "coreResponsibilities" : "Lead creative decisions for dubbed audio mixes, Ensure creative quality of AI-assisted mixing, Evaluate DME balance, Evaluate spatial placement, Evaluate loudness compliance, Evaluate tonal consistency, Approve final mixes, Approve stem configurations, Approve deliverable masters, Interpret quality data, Interpret audience research, Make tactical creative decisions, Guide mixing decisions, Uphold audio quality standards, Partner with AI engineers, Partner with dubbing creative leads, Partner with voice synthesis specialists, Partner with quality teams, Prioritize title-level decisions, Direct creative output of mix operators, Direct creative output of external partners, Maintain sonic consistency, Ensure AI-assisted mixing meets quality benchmarks, Contribute to development of SOPs, Streamline mixing delivery workflows, Streamline quality review workflows, Identify opportunities for repeatable mechanisms, Improve efficiency, Improve consistency, Align mixing execution with viewer experience goals, Contribute to presentations, Deliver content to external stakeholders, Guide break-out groups in brainstorm sessions, Gather inputs for creative outputs, Align on creative outputs, Mentor junior mixing team members, Support hiring new team members, Support onboarding new team members, Support training new team members, Promote responsible use of AI technology, Preserve artistic integrity of sound design", "teamCollaboration" : "Cross-functional teams; Creative disciplines; AI engineers; Localization specialists; Product teams; Engineering teams; Science teams; External partners", "projectManagementSkills" : [ "Project leadership", "Workstream leadership", "Team leadership" ], "domainKnowledge" : "Audio post-production; AI-assisted dubbing; Localization enablement; Accessibility programs; Sonic fidelity; Spatial coherence; Dialogue intelligibility; Artistic intent; Loudness standards; Stereo; 5.1; Atmos; Responsible AI", "domainList" : [ "audio-post-production", "ai-assisted-dubbing", "localization-enablement", "accessibility-programs", "sonic-fidelity", "spatial-coherence", "dialogue-intelligibility", "artistic-intent", "loudness-standards", "stereo", "5-1", "atmos", "responsible-ai" ], "domainSpecificKnowledge" : [ "Audio post-production", "AI-assisted dubbing", "Localization enablement", "Accessibility programs", "Sonic fidelity", "Spatial coherence", "Dialogue intelligibility", "Artistic intent", "Loudness standards", "Stereo", "5.1", "Atmos", "Responsible AI" ], "toolProficiency" : [ "ProTools" ], "communicationSkills" : "Presentations", "documentationSkills" : "Standard Operating Procedures", "innovationCreativity" : "Develop mixing solutions", "problemSolvingSkills" : "Creative decision making", "qualificationsBasic" : "5+ years audio mixing, 5+ years re-recording, 5+ years audio post-production, Knowledge of ProTools, Knowledge of audio editing software, Knowledge of video editing software, Deep knowledge of loudness standards, Deep knowledge of dialogue intelligibility, Deep knowledge of frequency balance, Deep knowledge of spatial accuracy, Deep knowledge of format compliance, Experience leading projects, Experience leading workstreams, Experience leading small teams, Bachelor's in Audio Engineering, Bachelor's in Sound Design, Bachelor's in Film Production, Portfolio demonstrating dialogue mixing, Portfolio demonstrating DME stem workflows, Portfolio demonstrating broadcast delivery standards, Portfolio demonstrating streaming delivery standards, Fluent in English", "qualificationsPreferred" : "Experience collaborating with cross-functional teams, Experience developing insights for audio executions, Ability to establish audio quality standards, Ability to maintain audio quality standards, Knowledge of AI/ML media tools, Knowledge of voice synthesis technologies, Knowledge of dubbing production workflows, Experience contributing to presentations, Experience delivering content to stakeholders, Experience managing multiple audio post-production projects, Experience meeting aggressive deadlines, Production mixing proficiency in Latin American Spanish, Localization mixing proficiency in Latin American Spanish", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Come build the future of entertainment with us! Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. On Prime Video, customers can customize their viewing experience and find their favorite movies, series, and live events – including Amazon MGM Studios-produced series and movies Fallout, Heads of State, Reacher, Red One, Road House, The Accountant 2, Beast Games, The Boys, The Lord of the Rings: The Rings of Power, and The Summer I Turned Pretty; licensed fan favorites; Prime member exclusive access to coverage of live sports including Thursday Night Football, NBA, WNBA, NASCAR, NWSL, and The Masters Tournament, and acclaimed sports documentaries including Bye Bye Barry, Kelce, and Earnhardt. Prime Video is one of many benefits of Prime, which bundles savings, convenience, and entertainment into a single membership. Prime members in the U.S. can share a broad range of benefits, including Prime Video, with Amazon Family. All customers, regardless of whether they have a Prime membership or not can access programming via Prime Video subscriptions such as MGM+, Apple TV, HBO Max, Peacock Premium Plus, FOX One, and Crunchyroll, as well as more than 900 free ad-supported (FAST) Channels, rent or buy titles, and enjoy even more content for free with ads. Customers can also go behind the scenes of their favorite movies and series with exclusive X-Ray access, and watch and shop their favorite titles with the fan-fueled shopping experience Shop the Show in the U.S. For more info visit www.amazon.com/primevideo. About the Role The Prime Video Localization Enablement & Accessibility Program (LEAP) team is seeking a Creative Mixing Lead to support our AI-assisted dubbing efforts. In this role, you will bring craft-level expertise in audio post-production and mixing to the final stages of dubbed title delivery, ensuring AI-assisted solutions preserve what matters most: sonic fidelity, spatial coherence, dialogue intelligibility, and the artistic intent of the original mix. Working with autonomy while aligning on strategic priorities, you will draw on existing tools and audience insights to guide mixing decisions and uphold audio quality standards across the LEAP dubbing portfolio. You will also partner with diverse creative disciplines, AI engineers, and localization specialists to help develop mixing solutions that serve the team's broader creative strategy. Key job responsibilities Lead Creative Decisions for Dubbed Audio Mixes: Ensure creative quality of AI-assisted mixing operations — evaluating dialogue-to-music-to-effects (DME) balance, spatial placement, loudness compliance, and tonal consistency. Approve final mixes, stem configurations, and deliverable masters. Interpret quality data and audience research to make tactical creative decisions around dialogue processing, reverb matching, dynamic range, and format-specific optimization on a per-title basis. Collaborate Across Diverse Creative Disciplines: Partner daily with AI engineers, Dubbing Creative Leads, voice synthesis specialists, and quality teams. Prioritize title-level decisions and direct the creative output of internal mix operators and external partners to maintain sonic consistency. Contribute to Quality Standards & Process Improvement: Help ensure AI-assisted mixing meets Prime Video's customer quality benchmarks through structured testing and feedback loops at several stages. Contribute to the development of internal Standard Operating Procedures (SOPs) that streamline mixing delivery and quality review workflows. Identify opportunities for repeatable mechanisms that improve efficiency and consistency. Influence Across Teams & External Partners: Partner with product, engineering, and science teams to align mixing execution with viewer experience goals across playback environments. Contribute to presentations and may deliver content to external stakeholders. May guide break-out groups in brainstorm sessions, gathering inputs and aligning on creative outputs. Begin to mentor junior mixing team members, and support hiring, onboarding, and training of new team members. Champion Responsible AI in Creative Contexts: Promote the responsible use of AI technology in audio post-production to make content more accessible for global audiences while preserving the artistic integrity of the original sound design. At Prime Video and Amazon MGM Studios, our approach to the implementation of generative AI is human-centered. We believe AI is an impactful tool that augments human creativity, never replacing it. Basic Qualifications: - Knowledge of ProTools or other audio or video editing software - 5+ years of relevant experience in audio mixing, re-recording, or audio post-production. - Deep knowledge of professional audio delivery standards — loudness (e.g., -24 LKFS), dialogue intelligibility, frequency balance, spatial accuracy, and format compliance (Stereo, 5.1, Atmos). - Experience leading projects, workstreams, or small teams. - Bachelor's degree in Audio Engineering, Sound Design, Film Production, or equivalent experience. - Portfolio demonstrating functional understanding of dialogue mixing, DME stem workflows, and broadcast/streaming delivery standards. - Fluent in English with demonstrated production or localization mixing experience; proficiency in Latin American Spanish (ES-419) is a plus. Preferred Qualifications: - Experience collaborating with cross-functional teams (product, engineering, localization) to develop insights that drive creative audio executions. - Demonstrated ability to establish and maintain audio quality standards across large volumes of content. - Knowledge of AI/ML media tools, voice synthesis technologies, or dubbing production workflows. - Experience contributing to presentations and delivering content to stakeholders - Experience managing multiple audio post-production projects and meeting aggressive deadlines. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Culver City - 120,500.00 - 163,000.00 USD annually", "summaryDescription" : "Creative Mixing Lead – AI-Assisted Dubbing, Localization Enablement & Accessibility Programs (LEAP) at Amazon.com Services LLC. Skills: Audio mixing, AI-assisted dubbing, Localization, Accessibility. Lead creative decisions for dubbed audio mixes. Ensure creative quality of AI-assisted mixing", "postedDate" : "2026-06-13T08:31:43.361", "createdAt" : "2026-06-13T08:31:43.361", "lastUpdated" : "2026-06-15T02:19:02.894", "ingestTimestamp" : "2026-06-13T08:31:43.361", "mongoId" : "6a2a660274d8ee00a062b746", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10444108/apply", "salaryAnnualMin" : 120500, "salaryAnnualMax" : 163000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Audio mixing", "Re-recording", "Audio post-production", "Dialogue mixing", "DME stem workflows", "Broadcast delivery", "Streaming delivery", "Loudness compliance", "Spatial coherence", "Dialogue intelligibility", "Tonal consistency", "Leadership", "AI-assisted dubbing", "Localization", "Accessibility", "Mixing", "Sound design", "Accessibility programs", "Creative strategy", "Quality benchmarks", "Process improvement", "Responsible AI", "Project leadership", "Workstream leadership", "Team leadership", "Localization enablement", "Sonic fidelity", "Artistic intent", "Loudness standards", "Stereo", "5.1", "Atmos", "ProTools" ], "skillCount" : 33, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 664.3206, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Entertainment" }, { "id" : "6a2a660274d8ee00a062b745", "title" : "Creative Dubbing Lead - AI-Assisted Dubbing, Localization Enablement & Accessibility Programs (LEAP)", "company" : "Amazon.com Services LLC", "industry" : "Audio / Video / Photography Production, Marketing, entertainment", "salary" : { "min" : 120500.0, "max" : 163000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Culver City, California, USA", "locations" : [ "Culver City, California, USA" ], "timestamp" : "2026-06-15T01:41:11.450", "fingerprint" : "aa2ee0e8fb67a8a98bc531f7d472b9a5733129594df678321dce98c47b5a3305", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10444109/apply", "externalId" : "7c59437b-1304-434a-b2c3-5dd2cdc82ff3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Culver City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0211224,-118.3964660" } ], "locationText" : "Culver City, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "AI, Generative AI", "professionalSkills" : [ "Dubbing direction", "Dialogue adaptation", "Performance evaluation", "Creative localization", "Storytelling" ], "hardSkillsList" : [ "Lip-sync assessment", "Dialogue mixing" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Lip-sync assessment", "level" : "intermediate" }, { "name" : "Dialogue mixing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "AI-assisted dubbing, Creative localization, Quality standards", "majorSkillsList" : [ "AI-assisted dubbing", "Creative localization", "Quality standards" ], "coreResponsibilities" : "Lead creative decisions for dubbed titles, Ensure creative quality of AI-assisted dubbing, Review dialogues for emotional nuance, Review dialogues for tone, Review dialogues for cultural context, Interpret quality data, Interpret audience research, Make tactical creative decisions, Partner with AI engineers, Partner with localization experts, Partner with quality teams, Prioritize title-level decisions, Direct creative output of operators, Direct creative output of external partners, Maintain consistency, Ensure AI-assisted dubbing meets benchmarks, Contribute to SOP development, Streamline creative delivery workflows, Streamline quality review workflows, Identify opportunities for repeatable mechanisms, Improve efficiency, Improve consistency, Partner with product teams, Partner with engineering teams, Partner with marketing teams, Align dubbing execution with goals, Contribute to presentations, Deliver content to external stakeholders, Guide break-out groups, Gather inputs, Align on creative outputs, Mentor junior creative team members, Support hiring new team members, Support onboarding new team members, Support training new team members, Promote responsible AI use, Preserve artistic integrity", "teamCollaboration" : "Cross-functional teams; Creative disciplines; AI engineers; Localization specialists; Quality teams; Product teams; Engineering teams; Marketing teams; External partners", "projectManagementSkills" : [ "Project leadership", "Workstream leadership" ], "domainKnowledge" : "AI-assisted dubbing; Creative localization; Accessibility programs; Generative AI; Media production; Post-production; Voice synthesis; Responsible AI", "domainList" : [ "ai-assisted-dubbing", "creative-localization", "accessibility-programs", "generative-ai", "media-production", "post-production", "voice-synthesis", "responsible-ai" ], "domainSpecificKnowledge" : [ "AI-assisted dubbing", "Creative localization", "Accessibility programs", "Generative AI", "Media production", "Post-production", "Voice synthesis", "Responsible AI" ], "toolProficiency" : [ "Adobe Premiere", "Avid", "DaVinci", "Pro Tools", "Audition" ], "communicationSkills" : "Presentations", "documentationSkills" : "Standard Operating Procedures", "innovationCreativity" : "Develop creative solutions", "problemSolvingSkills" : "Tactical decision making", "qualificationsBasic" : "Bachelor's degree or equivalent, 3+ years content creation experience, 5+ years dubbing direction experience, 5+ years audio post-production experience, 5+ years picture post-production experience, 5+ years creative localization experience, Proficiency in dialogue adaptation, Proficiency in lip-sync assessment, Proficiency in performance evaluation, Proficiency in fundamental dialogue mixing, Experience leading projects, Experience leading workstreams, Experience leading small teams, Fluent in English, Fluent in Latin American Spanish", "qualificationsPreferred" : "Experience collaborating with cross-functional teams, Ability to establish quality standards, Knowledge of AI/ML media tools, Knowledge of voice synthesis technologies, Knowledge of dubbing production workflows, Experience synthesizing customer research, Experience synthesizing data, Experience managing multiple creative projects, Experience meeting aggressive deadlines", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Come build the future of entertainment with us! Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. On Prime Video, customers can customize their viewing experience and find their favorite movies, series, and live events – including Amazon MGM Studios-produced series and movies Fallout, Heads of State, Reacher, Red One, Road House, The Accountant 2, Beast Games, The Boys, The Lord of the Rings: The Rings of Power, and The Summer I Turned Pretty; licensed fan favorites; Prime member exclusive access to coverage of live sports including Thursday Night Football, NBA, WNBA, NASCAR, NWSL, and The Masters Tournament, and acclaimed sports documentaries including Bye Bye Barry, Kelce, and Earnhardt. Prime Video is one of many benefits of Prime, which bundles savings, convenience, and entertainment into a single membership. Prime members in the U.S. can share a broad range of benefits, including Prime Video, with Amazon Family. All customers, regardless of whether they have a Prime membership or not can access programming via Prime Video subscriptions such as MGM+, Apple TV, HBO Max, Peacock Premium Plus, FOX One, and Crunchyroll, as well as more than 900 free ad-supported (FAST) Channels, rent or buy titles, and enjoy even more content for free with ads. Customers can also go behind the scenes of their favorite movies and series with exclusive X-Ray access, and watch and shop their favorite titles with the fan-fueled shopping experience Shop the Show in the U.S. For more info visit www.amazon.com/primevideo. About the Role The Prime Video Localization Enablement & Accessibility Program (LEAP) team is seeking a Creative Dubbing Lead to support our AI-assisted dubbing efforts. In this role, you will bring craft-level expertise to the production of dubbed titles, ensuring AI-assisted solutions preserve what matters most: emotional nuance, cultural authenticity, and the artistic intent of the original performance. Working with autonomy while aligning on strategic priorities, you will draw on existing tools and audience insights to guide creative decisions and uphold quality standards across the LEAP dubbing portfolio. You will also partner with diverse creative disciplines, AI engineers, and localization specialists to help develop solutions that serve the team's broader creative strategy. Key job responsibilities Lead Creative Decisions for Dubbed Titles: Ensure creative quality of AI-assisted dubbing operations — reviewing dialogues for emotional nuance, tone, and cultural context. Interpret quality data and audience research to make tactical creative decisions on a per-title basis. Collaborate Across Diverse Creative Disciplines: Partner daily with AI engineers, localization experts, and quality teams. Prioritize title-level decisions and direct the creative output of internal operators and external partners to maintain consistency. Contribute to Quality Standards & Process Improvement: Help ensure AI-assisted dubbing meets Prime Video's customer quality benchmarks through structured testing and feedback loops at several stages. Contribute to the development of internal Standard Operating Procedures (SOPs) that streamline creative delivery and quality review workflows. Identify opportunities for repeatable mechanisms that improve efficiency and consistency. Influence Across Teams & External Partners: Partner with product, engineering, and marketing teams to align dubbing execution with viewer experience goals. Contribute to presentations and may deliver content to external stakeholders. May guide break-out groups in brainstorm sessions, gathering inputs and aligning on creative outputs. Begin to mentor junior creative team members, and support hiring, onboarding, and training of new team members. Champion Responsible AI in Creative Contexts: Promote the responsible use of AI technology in localization, to make content more accessible for global audiences while preserving the artistic integrity of titles. At Prime Video and Amazon MGM Studios, our approach to the implementation of generative AI is human-centered. We believe AI is an impactful tool that augments human creativity, never replacing it. Basic Qualifications: - Bachelor's degree or equivalent, or 3+ years of content creation or similar experience - 5+ years of relevant experience in dubbing direction, audio or picture post-production, creative localization, or a related storytelling-driven technical discipline. - Proficiency in dialogue adaptation, lip-sync assessment, performance evaluation, and fundamental dialogue mixing. - Experience leading projects, workstreams, or small teams. - Demonstrated experience in Adobe Premiere, Avid, DaVinci, Pro Tools, Audition, or similar. - Portfolio demonstrating functional understanding of film and TV production and post-production. - Fluent in English and Latin American Spanish (ES-419) with demonstrated production or localization experience in both languages. Preferred Qualifications: - Experience collaborating with cross-functional teams (product, engineering, science) to develop insights that drive creative executions. - Demonstrated ability to establish and maintain quality standards across large volumes of content. - Knowledge of AI/ML media tools, voice synthesis technologies, or dubbing production workflows. - Experience synthesizing customer research and/or data to support tactical creative decisions. - Experience contributing to presentations and delivering content to stakeholders - Experience managing multiple creative projects and meeting aggressive deadlines. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Culver City - 120,500.00 - 163,000.00 USD annually", "summaryDescription" : "Creative Dubbing Lead - AI-Assisted Dubbing, Localization Enablement & Accessibility Programs (LEAP) at Amazon.com Services LLC. Skills: AI-assisted dubbing, Creative localization, Quality standards. Lead creative decisions for dubbed titles. Ensure creative quality of AI-assisted dubbing", "postedDate" : "2026-06-13T04:05:52.964", "createdAt" : "2026-06-13T04:05:52.964", "lastUpdated" : "2026-06-15T01:41:11.450", "ingestTimestamp" : "2026-06-13T04:05:52.964", "mongoId" : "6a2a660274d8ee00a062b745", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10444109/apply", "salaryAnnualMin" : 120500, "salaryAnnualMax" : 163000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Lip-sync assessment", "Dialogue mixing", "Leadership", "Mentoring", "AI-assisted dubbing", "Creative localization", "Quality standards", "Dubbing direction", "Dialogue adaptation", "Performance evaluation", "Storytelling", "Project leadership", "Workstream leadership", "Accessibility programs", "Generative AI", "Media production", "Post-production", "Voice synthesis", "Responsible AI", "Adobe Premiere", "Avid", "DaVinci", "Pro Tools", "Audition" ], "skillCount" : 24, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 652.46875, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Entertainment" }, { "id" : "6a2a493574d8ee00a05e416e", "title" : "AI-Assisted Testing Engineer", "company" : "Altamira", "industry" : "EdTech, Fintech, eCommerce, Pharma", "salary" : { "min" : 38000.0, "max" : 55000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level AI-Assisted Testing Engineer in Bratislava, Slovakia, adjusted for the technology industry and freelance employment type." }, "location" : "Bratislava, Slovakia", "locations" : [ "Bratislava", "Slovakia" ], "timestamp" : "2026-06-14T20:20:05.385", "fingerprint" : "a67f9e3e20d6d35bbbb6a8a9a48b5b3e5f714deac8726c5e82d5bc932ee4ccf1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/altamirafreelance/jobs/4893264101", "externalId" : "4893264101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bratislava", "country" : "Slovakia", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1516988,17.1093063" } ], "locationText" : "Bratislava, Slovakia", "employmentType" : "CONTRACT", "technicalSkills" : "API, REST, GraphQL, Playwright, Cypress, Selenium, Pytest, Python, JavaScript, TypeScript, Git, CI/CD, k6, JMeter, Locust, Sentry, Grafana", "professionalSkills" : [ "Test design techniques", "Risk-based testing", "AI-powered testing", "Defect analysis", "Quality improvements", "AI-generated code fixes", "AI-generated test cases", "AI-generated recommendations" ], "hardSkillsList" : [ "Equivalence partitioning", "Boundary value analysis", "API testing", "Test automation", "CI/CD workflows", "AI output evaluation" ], "hardSkills" : [ { "name" : "Equivalence partitioning", "level" : "intermediate" }, { "name" : "Boundary value analysis", "level" : "intermediate" }, { "name" : "API testing", "level" : "intermediate" }, { "name" : "Test automation", "level" : "intermediate" }, { "name" : "CI/CD workflows", "level" : "intermediate" }, { "name" : "AI output evaluation", "level" : "intermediate" } ], "majorSkills" : "AI-Assisted Testing, Manual Testing, Automated Testing, API Testing", "majorSkillsList" : [ "AI-Assisted Testing", "Manual Testing", "Automated Testing", "API Testing" ], "coreResponsibilities" : "Execute manual testing, Execute automated testing, Design test scenarios, Validate requirements, Identify potential quality risks, Create high-quality bug reports, Perform API testing, Perform regression testing, Perform exploratory testing, Perform integration testing, Perform end-to-end testing, Develop automated test scripts, Maintain automated test suites, Utilize AI-powered tools, Improve testing efficiency, Improve defect analysis, Collaborate closely with engineers, Collaborate closely with product teams, Ensure timely issue resolution, Support CI/CD pipelines, Contribute to continuous quality improvements, Validate AI-generated code fixes, Validate AI-generated test cases, Validate AI-generated recommendations", "teamCollaboration" : "Engineers; Product teams", "domainKnowledge" : "Custom Manufacturing Platform; Aviation Intelligence Platform; User authentication; Role-based access control; Template management; Customer management; Order creation; Wallet functionality; Draft order management; Aircraft Encyclopedia; Aircraft Comparison Tool; Interactive Range Maps; Mission Analysis Tool; Aircraft market intelligence", "domainList" : [ "custom-manufacturing-platform", "aviation-intelligence-platform", "user-authentication", "role-based-access-control", "template-management", "customer-management", "order-creation", "wallet-functionality", "draft-order-management", "aircraft-encyclopedia", "aircraft-comparison-tool", "interactive-range-maps", "mission-analysis-tool", "aircraft-market-intelligence" ], "domainSpecificKnowledge" : [ "Custom Manufacturing Platform", "Aviation Intelligence Platform", "User authentication", "Role-based access control", "Template management", "Customer management", "Order creation", "Wallet functionality", "Draft order management", "Aircraft Encyclopedia", "Aircraft Comparison Tool", "Interactive Range Maps", "Mission Analysis Tool", "Aircraft market intelligence" ], "toolProficiency" : [ "Claude", "Copilot", "Cursor", "Postman", "Playwright", "Python requests", "Cypress", "Selenium", "Pytest", "Git", "Jira", "Linear" ], "communicationSkills" : "Written English skills", "documentationSkills" : "Bug reports", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "3+ years of experience in Software QA, Experience with API testing, Experience with test automation, Ability to critically evaluate AI-generated output, Experience with Git and CI/CD workflows, Written English skills", "qualificationsPreferred" : "Experience integrating AI into QA, Experience building or using AI agents, Prompt engineering experience, LLM output evaluation, Performance and load testing, Basic security testing knowledge, Experience with observability tools, Python scripting skills, JavaScript scripting skills, TypeScript scripting skills, Experience testing AI/LLM-powered features, Familiarity with Jira, Familiarity with Linear, Familiarity with Jira APIs, Familiarity with Linear APIs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Altamira is a software development outsourcing company. We provide solutions that make a tangible impact on our clients’ growth and productivity. With domain knowledge across product and technology development, we aim to provide cost-efficient solutions without compromising quality. We are driven to deliver the best, every single time. Altamira service delivery teams currently span Slovakia, Ukraine, and the Middle East, and we have ambitions to expand our footprint to meet the growing demand across Europe and into our primary growth markets in the UK and the US. In terms of industry verticals, we are focused on EdTech, Fintech, eCommerce, and Pharma. As a fully remote company, we welcome talented individuals seeking hourly-based freelance opportunities Altamira.ai is looking for an experienced AI-Assisted Testing Engineer to join our team on a freelance, hourly-paid basis. This is a full-time engagement across two active client projects, where you'll combine traditional QA expertise with modern AI-powered testing approaches. If you actively use tools like Claude, Copilot, Cursor, or similar AI assistants in your daily QA workflow and know how to validate their output critically, we'd love to hear from you. Projects Project 1: Custom Manufacturing Platform A web-based solution for a custom nameplate manufacturer, consisting of an Admin Portal and a Client Portal. Key integrations: UPS Stripe Sage 100 ERP Main functionality includes: User authentication and role-based access control Template management (upload, editing, pricing, customer assignment) Customer management (CRUD operations, bulk actions) User management Order creation using shared templates Wallet functionality Draft order management Project 2: Aviation Intelligence Platform An online platform designed to help prospective aircraft buyers evaluate and compare private jets through advanced research and analysis tools. Core functionality includes: Aircraft Encyclopedia with advanced search capabilities Aircraft Comparison Tool Interactive Range Maps Mission Analysis Tool for trip cost estimation and aircraft comparison Aircraft market intelligence features Responsibilities Execute manual and automated testing activities across product features and releases Design test scenarios, validate requirements, and identify potential quality risks Create high-quality bug reports with clear reproduction steps and supporting evidence Perform API, regression, exploratory, integration, and end-to-end testing Develop and maintain automated test scripts and test suites Utilize AI-powered tools to improve testing efficiency and defect analysis Collaborate closely with engineers and product teams to ensure timely issue resolution Support CI/CD pipelines and contribute to continuous quality improvements Validate AI-generated code fixes, test cases, and recommendations before implementation Requirements 3+ years of experience in Software QA (manual and automated testing) Strong knowledge of test design techniques, including equivalence partitioning, boundary value analysis, and risk-based testing Proven experience creating clear, structured, and reproducible bug reports Hands-on experience with AI coding/testing assistants such as Claude, GitHub Copilot, Cursor, or similar tools Experience with API testing (REST and/or GraphQL) using Postman, Playwright, Python requests, or similar tools Practical experience with test automation using Playwright, Cypress, Selenium, Pytest, or equivalent frameworks Ability to critically evaluate AI-generated output and identify incorrect, incomplete, or risky solutions Experience with Git and CI/CD workflows Strong written English skills Ability to create structured bug tickets suitable for both human and AI-assisted workflows Nice to Have Experience integrating AI into QA processes and testing pipelines Experience building or using AI agents, MCP tools, or automated triage workflows Prompt engineering experience and LLM output evaluation Performance and load testing (k6, JMeter, Locust) Basic security testing knowledge Experience with observability tools such as Sentry, Grafana, and log aggregation platforms Python, JavaScript, or TypeScript scripting skills Experience testing AI/LLM-powered features and applications Familiarity with Jira, Linear, and their APIs Domain knowledge in manufacturing, e-commerce, aviation, or analytics platforms Our transparent recruitment journey usually takes up to 2 weeks and includes a few stages: Recruiting Interview -> 30-45 min Technical Interview -> 1-1,5h Client Interview (optional) -> up to 1h Reference Check Offer If you're seeking a flexible, welcoming, and professional environment, join our freelance project-based team! We do believe that the success of altamira.ai is impossible without the success of our Talents and the success of our Clients!", "summaryDescription" : "AI-Assisted Testing Engineer at Altamira. Skills: AI-Assisted Testing, Manual Testing, Automated Testing, API Testing. Execute manual testing. Execute automated testing", "postedDate" : "2026-06-11T22:03:26.155", "createdAt" : "2026-06-11T22:03:26.155", "lastUpdated" : "2026-06-14T20:20:05.385", "ingestTimestamp" : "2026-06-11T22:03:26.155", "mongoId" : "6a2a493574d8ee00a05e416e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Equivalence partitioning", "Boundary value analysis", "API testing", "Test automation", "CI/CD workflows", "AI output evaluation", "AI-Assisted Testing", "Manual Testing", "Automated Testing", "API Testing", "Test design techniques", "Risk-based testing", "AI-powered testing", "Defect analysis", "Quality improvements", "AI-generated code fixes", "AI-generated test cases", "AI-generated recommendations", "Custom Manufacturing Platform", "Aviation Intelligence Platform", "User authentication", "Role-based access control", "Template management", "Customer management", "Order creation", "Wallet functionality", "Draft order management", "Aircraft Encyclopedia", "Aircraft Comparison Tool", "Interactive Range Maps", "Mission Analysis Tool", "Aircraft market intelligence", "Claude", "Copilot", "Cursor", "Postman", "Playwright", "Python requests", "Cypress", "Selenium", "Pytest", "Git", "Jira", "Linear" ], "skillCount" : 44, "jobCategory" : "other", "jobSubcategory" : "qa&qc", "dataQualityScore" : 0.8888889, "_score" : 651.22375, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "EdTech, Fintech, eCommerce, Pharma" }, { "id" : "6a30764ef292fd229c01827c", "title" : "AI Solutions Manager", "company" : "Arize AI", "industry" : "Technology", "salary" : { "min" : 165000.0, "max" : 235000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Solutions Manager in New York, adjusted for mid-seniority and technology industry." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T12:18:27.677", "fingerprint" : "c88a6fe91148e7a8be85683166a75826dd4c3752bc15475150a7a3ee2a798089", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/arizeai/jobs/6030902004", "externalId" : "6030902004", "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", "experienceLevel" : "Manager", "professionalSkills" : [ "Account management", "Solution proposal", "Technical best practices" ], "hardSkillsList" : [ "Product demonstration", "Customer onboarding", "Account planning" ], "hardSkills" : [ { "name" : "Product demonstration", "level" : "intermediate" }, { "name" : "Customer onboarding", "level" : "intermediate" }, { "name" : "Account planning", "level" : "intermediate" } ], "majorSkills" : "Customer Success, AI/ML adoption, Customer relationships", "majorSkillsList" : [ "Customer Success", "AI/ML adoption", "Customer relationships" ], "coreResponsibilities" : "Build and deepen relationships with AI/ML users, Foster adoption, Uncover new use cases, Drive expanded usage across customer accounts, Conduct discovery with customers, Understand customer goals, Share the Arize vision, Demonstrate product capabilities, Propose tailored solutions, Collaborate with technical teams, Address complex customer needs, Ensure smooth implementation, Advise on technical best practices, Run workshops and training sessions, Run QBRs, Demonstrate account value, Identify areas of opportunity, Strengthen customer partnerships, Monitor product usage across accounts, Gauge account health, Identify upsell opportunities, Align on customer health strategies, Relay customer feature requests, Advocate for customer needs, Ensure support teams are aligned", "teamCollaboration" : "Customer Success Engineering; Account Management teams; Executive teams; Support teams", "projectManagementSkills" : [ "Account plan execution" ], "domainKnowledge" : "AI/ML applications; Generative AI", "domainList" : [ "ai-ml-applications", "generative-ai" ], "domainSpecificKnowledge" : [ "AI/ML applications", "Generative AI" ], "communicationSkills" : "Articulating observations", "problemSolvingSkills" : "Troubleshoot AI systems; Optimize AI systems", "specialRequirements" : "Based in NYC metro area/EST", "outcomesObjectives" : "Drive customer adoption; Manage customers through renewal cycles; Achieve customer goals; Ensure models achieve business outcomes; Improve AI usage", "qualificationsBasic" : "3+ years Customer Success Manager in SaaS, Ability to prioritize and manage multiple customer relationships", "qualificationsPreferred" : "Familiarity with AI/ML workflows, Familiarity with GenAI technologies", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Opportunity As an AI Solutions Manager, you’ll partner with some of the most innovative AI/ML teams in the world. You’ll play a pivotal role in driving adoption, shaping product use cases, and ensuring our customers succeed in leveraging AI to achieve real-world impact. This role offers a unique chance to grow alongside a leading AI company and gain deep insights into cutting-edge AI/ML applications. While we are a remote-first company, the nature of this role requires candidates to be based in the New York City metro area/EST time zone. The Team Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more. As an AI Solutions Manager, your work will directly contribute to our customers’ success in deploying impactful AI solutions, ensuring their models achieve measurable business outcomes. We are looking for a fast-paced, client-obsessed candidate with an entrepreneurial mindset to nurture, and grow our customers. You’ll be working with Arize customers to help them improve the AI they use across their organizations. You will be in charge of driving customer adoption and managing customers through their renewal cycles. You’ll accomplish this by running an effective account plan, identifying expansion opportunities with new teams, and building solutions to help achieve their goals. You’ll be involved in exciting and complex customer use cases and leverage your business acumen to navigate the intricacies. What You’ll Do Build and deepen relationships with AI/ML users to foster adoption, uncover new use cases, and drive expanded usage across customer accounts. This includes regular touchpoints like weekly/bi-weekly calls and ongoing account management. Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions. Collaborate with technical teams, including Customer Success Engineering, to address complex customer needs, ensure smooth implementation, and advise on technical best practices. Run workshops and training sessions with customers during onboarding and new functionality Run QBRs to demonstrate account value, identify areas of opportunity, and strengthen customer partnerships. Proactively monitor product usage across your accounts to further gauge account health Work closely with Account Management and Executive teams to identify upsell opportunities and align on customer health strategies. Effectively relay customer feature requests to internal teams and advocate for customer needs. Ensure support teams are aligned with customer requests and priorities. What We’re Looking For 3+ years of experience as a Customer Success Manager in SaaS. A self-starter mindset with the ability to thrive in limited process environments. Exceptional organizational skills with the ability to prioritize and manage multiple customer relationships effectively. Strong communication skills for articulating observations and fostering collaboration across teams. Proven ability to demo technical products and translate their value into tailored customer solutions. Thrives in fast-paced environments with a customer-first mindset and a focus on delivering measurable results. A strong team player who values collaboration and collective success. Bonus: Familiarity with AI/ML workflows or GenAI technologies. The estimated annual salary and variable compensation for this role is between $140,000 to $175,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup", "summaryDescription" : "AI Solutions Manager at Arize AI. Skills: Customer Success, AI/ML adoption, Customer relationships. Build and deepen relationships with AI/ML users. Foster adoption", "postedDate" : "2026-06-16T01:17:23.223", "createdAt" : "2026-06-16T01:17:23.223", "lastUpdated" : "2026-06-16T12:18:27.677", "ingestTimestamp" : "2026-06-16T01:17:23.223", "mongoId" : "6a30764ef292fd229c01827c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 235000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Product demonstration", "Customer onboarding", "Account planning", "Customer Success", "AI/ML adoption", "Customer relationships", "Account management", "Solution proposal", "Technical best practices", "Account plan execution", "AI/ML applications", "Generative AI" ], "skillCount" : 12, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 649.517, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a309755f292fd229c0db971", "title" : "AI Solutions Manager", "company" : "Arize AI", "industry" : "Technology", "salary" : { "min" : 165000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Solutions Manager in San Francisco, adjusted for mid-seniority and technology industry." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T12:18:11.387", "fingerprint" : "c122a7f54d99edf052b17a62e5a91f548f8323e9c20e2228cbdd19ec90661049", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/arizeai/jobs/6030903004", "externalId" : "6030903004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Account management", "Sales cycle management", "Business acumen" ], "hardSkillsList" : [ "Customer onboarding", "Customer enablement", "Account planning" ], "hardSkills" : [ { "name" : "Customer onboarding", "level" : "intermediate" }, { "name" : "Customer enablement", "level" : "intermediate" }, { "name" : "Account planning", "level" : "intermediate" } ], "majorSkills" : "Customer Success, AI/ML adoption, Account growth", "majorSkillsList" : [ "Customer Success", "AI/ML adoption", "Account growth" ], "coreResponsibilities" : "Build and deepen relationships with AI/ML practitioners and, Foster adoption across customer accounts, Uncover new use cases across customer accounts, Drive expanded usage across customer accounts, Conduct discovery with customers, Understand customer goals, Share the Arize vision, Demonstrate product capabilities, Propose tailored solutions, Collaborate with technical teams, Address complex customer needs, Ensure smooth implementation, Advise on technical best practices, Run workshops with customers, Run training sessions with customers, Run business reviews, Demonstrate account value, Identify areas of opportunity, Strengthen customer partnerships, Identify new growth opportunities, Develop new growth opportunities, Analyze customer usage, Target high-value needs, Own expansion sales cycle, Own renewal sales cycle, Maintain rigorous hygiene in CRM, Support a high-performing revenue team", "teamCollaboration" : "Solutions Engineering; Application Engineering", "domainKnowledge" : "AI/ML applications; Generative AI", "domainList" : [ "ai-ml-applications", "generative-ai" ], "domainSpecificKnowledge" : [ "AI/ML applications", "Generative AI" ], "toolProficiency" : [ "CRM" ], "communicationSkills" : "Articulating observations", "specialRequirements" : "Based in San Francisco Bay area", "outcomesObjectives" : "Ensure customers achieve real-world impact; Drive customer adoption; Manage customers through renewal cycles; Ensure customers are getting value", "qualificationsBasic" : "2+ years Customer Success Manager in SaaS, Proven track record driving expansion and upsell revenue, Ability to thrive in limited process environments, Exceptional organizational skills, Ability to prioritize and manage multiple customer relationships, Proven ability to demo technical products, Translate product value into tailored customer solutions", "qualificationsPreferred" : "Selling AI/ML or data infrastructure software to VP and C-suite stakeholders, Familiarity with AI/ML workflows, Familiarity with GenAI technologies", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Opportunity As an AI Solutions Manager, you’ll partner with some of the most innovative AI/ML teams in the world. You’ll play a pivotal role in driving adoption, shaping product use cases, and ensuring our SMB and Mid-Market customers succeed in leveraging AI to achieve real-world impact. This role offers a unique chance to grow alongside a leading AI company and gain deep insights into cutting-edge AI/ML applications. While we are a remote-first company, the nature of this role requires candidates to be based in the San Francisco Bay area. The Team Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more. As an AI Solutions Manager, your work will directly contribute to our customers’ success in deploying impactful AI solutions, ensuring their models achieve measurable business outcomes. We are looking for a fast-paced, client-obsessed candidate with an entrepreneurial mindset to nurture, and grow our SMB and Mid-Market customers. You will be in charge of driving customer adoption and managing customers through their renewal cycles. You’ll accomplish this by running an effective account plan, identifying expansion opportunities with new teams, and ensuring your customers are getting value out of the partnership by running effective workshops and enablement sessions, and working with the Solutions Engineering team on complex implementations. You’ll be involved in exciting and complex customer use cases and leverage your business acumen to navigate the intricacies. What You’ll Do Build and deepen relationships with AI/ML practitioners and executives to foster adoption, uncover new use cases, and drive expanded usage across customer accounts. Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions. Collaborate with technical teams, including Solutions Engineering and Application Engineering, to address complex customer needs, ensure smooth implementation, and advise on technical best practices. Run workshops and training sessions with customers during onboarding. Run business reviews to demonstrate account value, identify areas of opportunity, and strengthen customer partnerships. Proactively identify and develop new growth opportunities by analyzing customer usage and targeting high-value needs across your customer base. Own the full expansion and renewal sales cycle across your book of business. Maintain rigorous hygiene in CRM and internal tooling to support a high-performing revenue team. What We’re Looking For 2+ years of experience as a Customer Success Manager in SaaS. Proven track record of driving expansion and upsell revenue within SMB and Mid-Market accounts, bonus for selling AI/ML or data infrastructure software to VP and C-suite stakeholders. A self-starter and customer-first mindset with the ability to thrive in limited process environments. Exceptional organizational skills with the ability to prioritize and manage multiple customer relationships effectively. Strong communication skills for articulating observations and fostering collaboration across teams. Proven ability to demo technical products and translate their value into tailored customer solutions. A strong team player who values collaboration and collective success. Bonus: Familiarity with AI/ML workflows or GenAI technologies. The estimated annual salary and variable compensation for this role is between $140,000 to $175,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup", "summaryDescription" : "AI Solutions Manager at Arize AI. Skills: Customer Success, AI/ML adoption, Account growth. Build and deepen relationships with AI/ML practitioners and. Foster adoption across customer accounts", "postedDate" : "2026-06-16T03:15:37.523", "createdAt" : "2026-06-16T03:15:37.523", "lastUpdated" : "2026-06-16T12:18:11.387", "ingestTimestamp" : "2026-06-16T03:15:37.523", "mongoId" : "6a309755f292fd229c0db971", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Customer onboarding", "Customer enablement", "Account planning", "Customer Success", "AI/ML adoption", "Account growth", "Account management", "Sales cycle management", "Business acumen", "AI/ML applications", "Generative AI", "CRM" ], "skillCount" : 12, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 648.7433, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c91df74d8ee00a09843d9", "title" : "Microsoft Adoption Specialist", "company" : "Ambient Enterprises", "salary" : { "min" : 90000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-15T07:21:38.580", "fingerprint" : "b6209facd11f7dd2425b99929df78f864e68ff5c42c53ccfc75e700d245c1fb0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ambiententerprises/jobs/5255497008", "externalId" : "5255497008", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Microsoft Dynamics CRM", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "User training", "Training material development", "System functional testing", "User support", "Troubleshooting" ], "softSkillsList" : [ "Problem-solving", "Organization" ], "hardSkills" : [ { "name" : "User training", "level" : "intermediate" }, { "name" : "Training material development", "level" : "intermediate" }, { "name" : "System functional testing", "level" : "intermediate" }, { "name" : "User support", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Organization" } ], "majorSkills" : "Microsoft Dynamics Trainer, User training, System support", "majorSkillsList" : [ "Microsoft Dynamics Trainer", "User training", "System support" ], "coreResponsibilities" : "Conduct training sessions, Develop training materials, Maintain training materials, Provide ongoing support, Assist users with navigation, Troubleshoot inquiries, Support onboarding of new employees, Ensure proficiency in Microsoft Dynamics, Collaborate with IT teams, Align training with schedules, Gather feedback to refine programs, Assist with functional testing, Provide feedback on usability, Provide feedback on process improvements", "teamCollaboration" : "Collaborate with IT teams; Collaborate with project managers; Collaborate with business leaders", "projectManagementSkills" : [ "Deployment schedules" ], "domainKnowledge" : "Custom HVAC market; Commercial building market; Industrial building market; Healthcare/life sciences market; Residential building market", "domainList" : [ "custom-hvac-market", "commercial-building-market", "industrial-building-market", "healthcare-life-sciences-market", "residential-building-market" ], "domainSpecificKnowledge" : [ "Custom HVAC market", "Commercial building market", "Industrial building market", "Healthcare/life sciences market", "Residential building market" ], "toolProficiency" : [ "Microsoft Dynamics CRM" ], "communicationSkills" : "Verbal communication; Written communication; Clear instructions", "documentationSkills" : "User guides; Tutorials; Workshop exercises; Quick reference guides", "problemSolvingSkills" : "Troubleshooting; Problem-solving mindset", "specialRequirements" : "Travel extensively, 50-75% travel", "outcomesObjectives" : "Ensure user proficiency; Refine training programs", "qualificationsBasic" : "Proven experience delivering user training, Experience developing training materials, Hands-on experience in user support, Demonstrated capability in system functional testing, Bachelor's degree in IT, Education, or Business, 5 years of experience in training roles, Experience supporting user acceptance testing", "qualificationsPreferred" : "Microsoft Dynamics CRM or similar enterprise systems experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Us: Ambient Enterprises is an umbrella company for 27 recognized industry leaders in the custom HVAC market. We offer product expertise, technical and application support, system design, and operational support, thereby meeting our clients’ specific needs and requirements. Leveraging our market leadership in the commercial, industrial, healthcare/life sciences, and residential building markets, we are expanding our service and solution offerings and building our footprint both organically and through acquisitions. Role: Microsoft Dynamics Trainer Ambient Enterprises is seeking an experienced Microsoft Dynamics CRM and Field Service Trainer to lead training and functional support initiatives across newly acquired and existing business units. This role will focus on ensuring that sales, service dispatch, and administrative teams are fully trained and supported in utilizing Dynamics CRM and Field Service applications effectively. In addition to training responsibilities, the Trainer will assist with testing new system features before they are deployed to the broader user community. This position requires substantial travel across the United States to deliver in-person training and support sessions. Responsibilities: Conduct training sessions for sales, service dispatch, and administrative teams on Microsoft Dynamics CRM and Field Service modules, both remote and on-site. Develop and maintain training materials, including user guides, tutorials, and hands-on workshops, tailored to different teams and roles. Provide ongoing support post go-live, assisting users with Dynamics CRM and Field Service navigation and troubleshooting inquiries. Support onboarding of new employees to ensure proficiency in Microsoft Dynamics from day one. Collaborate with IT teams, project managers, and business leaders to align training with deployment schedules and processes, while gathering feedback to refine programs. Assist with functional testing of new features and updates, providing feedback to IT on usability and process improvements. Willingness to travel extensively within the United States (~50-75% of the time). Requirements: Proven experience delivering user training for Microsoft Dynamics CRM, Field Service, or similar platforms. Strong background in developing training materials, including manuals, quick reference guides, and workshop exercises. Excellent verbal and written communication skills, with the ability to simplify complex system functions into clear instructions. Hands-on experience in user support, troubleshooting, and providing hyper-care post go-live. Demonstrated capability in conducting system functional testing and documenting observations. Willingness to travel extensively within the United States (~50-75% of the time). A problem-solving mindset with a focus on user experience and operational efficiency. Highly organized with strong attention to detail and the ability to manage multiple training engagements independently. Bachelor’s degree in information technology, Education, Business Administration, or a related field. Minimum of 5 years of experience in training roles involving CRM and Field Service applications, preferably with Microsoft Dynamics CRM or similar enterprise systems. Prior experience supporting user acceptance testing (UAT) or functional system testing is advantageous. Estimated compensation: $90,000-$115,000/yr with flexibility based on experience and skills. Ambient provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.", "summaryDescription" : "Microsoft Adoption Specialist at Ambient Enterprises. Skills: Microsoft Dynamics Trainer, User training, System support. Conduct training sessions. 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Skills: Nursing leadership, Assisted living management. Direct and manage nursing services. Ensure quality patient care", "createdAt" : "2026-06-14T02:28:49.255", "lastUpdated" : "2026-06-15T07:04:54.369", "ingestTimestamp" : "2026-06-14T02:28:49.255", "mongoId" : "6a2cee2774d8ee00a0a8094c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 145000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Patient care", "Regulatory compliance", "Nursing leadership", "Assisted living management", "Clinical care", "Hospital administration", "Assisted living regulations", "Geriatric care", "RN license", "BLS certification" ], "skillCount" : 10, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Manager", "dataQualityScore" : 0.5555556, "_score" : 644.34784, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca34974d8ee00a09ab116", "title" : "AI Strategist", "company" : "Further", "industry" : "Consulting", "salary" : { "min" : 250000.0, "max" : 400000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive AI Strategist in Atlanta, United States, adjusted for the technology industry and company size." }, "location" : "Atlanta, Georgia", "locations" : [ "Atlanta", "Georgia", "Austin", "Texas", "Cleveland", "Ohio" ], "certifications" : [ "AI governance certification" ], "timestamp" : "2026-06-15T09:14:57.484", "fingerprint" : "671b028148e0f7f85b2dcdb13d942fba718f71855b5b4b01b73acb33d5ce0ec1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/further/jobs/8499327002", "externalId" : "8499327002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "experienceMinYears" : 10, "experienceMaxYears" : 15, "experienceLevel" : "Senior", "technicalSkills" : "AI, Machine Learning, Advanced analytics, Generative AI", "professionalSkills" : [ "Business strategy", "Client advising", "Roadmap development", "Value delivery", "Change management", "Solution adoption", "Business development", "Client relationship management", "Strategic roadmaps", "AI governance", "Strategic direction", "Client decision-making", "Innovative approaches", "Measurable results", "Testable hypotheses" ], "hardSkillsList" : [ "AI strategy", "Data strategy", "AI investment", "AI adoption", "AI governance", "AI opportunities", "AI programs", "AI work" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "AI strategy", "level" : "intermediate" }, { "name" : "Data strategy", "level" : "intermediate" }, { "name" : "AI investment", "level" : "intermediate" }, { "name" : "AI adoption", "level" : "intermediate" }, { "name" : "AI governance", "level" : "intermediate" }, { "name" : "AI opportunities", "level" : "intermediate" }, { "name" : "AI programs", "level" : "intermediate" }, { "name" : "AI work", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "AI Strategy, Business Strategy, AI Adoption", "majorSkillsList" : [ "AI Strategy", "Business Strategy", "AI Adoption" ], "coreResponsibilities" : "Lead business development, Create client pitches, Create plans, Estimate work, Create trusted partnerships, Extend client relationships, Develop new business, Identify business outcomes, Plan work, Delegate work, Communicate value proposition, Communicate story, Infer consequences, Communicate consequences, Partner with senior clients, Identify AI opportunities, Build strategic roadmaps, Establish governance mechanisms, Provide strategic direction, Lead major engagements, Influence client decision-making, Develop innovative approaches, Focus teams, Lead teams, Mentor teams, Deliver measurable results, Frame AI work, Tie to business outcomes", "teamCollaboration" : "Internal teams; Senior clients; Data scientists; Technical teams; Business stakeholders", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Ethical AI; Generative AI; AI governance; AI strategy", "domainList" : [ "ethical-ai", "generative-ai", "ai-governance", "ai-strategy" ], "domainSpecificKnowledge" : [ "Ethical AI", "Generative AI", "AI governance", "AI strategy" ], "communicationSkills" : "Articulate complex ideas; Executive presentations; Communicate consequences; Communicate value proposition", "innovationCreativity" : "Innovative approaches", "problemSolvingSkills" : "Translate challenges; Problem solving", "outcomesObjectives" : "Deliver real value; Deliver measurable value; Deliver lasting value; Deliver measurable results", "qualificationsBasic" : "10-15 years experience, AI expertise, Ethical AI principles, Articulate complex ideas, Create executive presentations, AI/ML/advanced analytics experience, Highly-regulated industry experience, Change management expertise, Hands-on Generative AI experience", "qualificationsPreferred" : "AI governance certification", "rawDescription" : "WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further. Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let’s chat! AI Strategist This is a rare opportunity to sit at the intersection of business strategy and cutting-edge AI, without being pigeonholed into either. You're not just advising on technology; you're shaping how major enterprise clients think about and invest in AI. From day one, you'll be working across a portfolio of marquee brands, helping them move from curiosity to confidence in their AI strategies. What makes this role unique is the scope of influence. You'll be the person in the room who listens to business stakeholders, translates their challenges into a clear vision, and then builds the roadmap that actually gets them there. You're the bridge: the one who makes sure AI investments deliver real, measurable value rather than becoming shelf-ware. This is also a role with staying power. AI strategy is still being defined across industries, and you'd be helping to shape that definition, both externally with clients and internally. What experience should you have: 10-15 years of experience in strategist or consulting role. Deep AI expertise, particularly in a consulting or agency role: ethical AI principles and best practices. Ability to articulate complex ideas simply and credibly, and create executive-level presentations. AI / Machine Learning / advanced analytics experience in a highly-regulated industry (healthcare, finance, energy, defense). Expertise in change management processes and a deep appreciation for its value in enterprise solution adoption. Hands-on experience driving adoption of Generative AI solutions in the enterprise Bonus Points: AI governance certification preferred What you’ll be doing in this role: Lead business development activities, including client pitches, creating plans and estimating work. This involves creating trusted partnerships to consistently extend and expand client relationships and engaging with CS and BD to develop new business. Identify business outcomes and plan and delegate work to the team to positively impact them and communicate the a clear value proposition/story of our work to the clients Infer and communicate the consequences of new information/criteria/realities on specific client ecosystems or scenarios Partners with senior clients to identify high-value AI opportunities, build strategic roadmaps for AI adoption, and establish governance mechanisms for AI programs. Provide strategic direction to clients and internal teams. They lead major engagements, influence client decision-making and develop innovative approaches that create lasting value for clients. Focus, lead and mentor the teams to deliver measurable results. Frame AI work around testable hypotheses tied to real business outcomes (revenue, retention, efficiency). What you'll need to accomplish in your first year: Drive AI Strategy with Clients: Identify high-value AI opportunities within client organizations, build strategic roadmaps for AI adoption, and establish governance mechanisms to ensure AI programs are sustainable and trustworthy, understanding how AI fits into a client's broader ecosystem and decision-making. Lead and Grow: Mentor internal teams on AI-related engagements, participate in business development (pitches, scoping, estimating AI work), and help mature the firm's overall AI solution offerings over time. Translate Complexity: Act as the interpretive layer between data scientists/technical teams and business stakeholders — communicating consequences of model outputs, new data realities, or AI limitations in terms clients can act on. Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more. Apply today or check out all our opportunities! By submitting your application, you consent to our collection, processing and disclosure of the contained personal data in accordance with our data practices. If you are a resident of the U. S. state of California, you can read about our data practices and your related privacy rights here. If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights here.", "summaryDescription" : "AI Strategist at Further. Skills: AI Strategy, Business Strategy, AI Adoption. Lead business development. Create client pitches", "postedDate" : "2026-06-14T03:33:54.266", "createdAt" : "2026-06-14T03:33:54.266", "lastUpdated" : "2026-06-15T09:14:57.484", "ingestTimestamp" : "2026-06-14T03:33:54.266", "mongoId" : "6a2ca34974d8ee00a09ab116", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 400000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "AI strategy", "Data strategy", "AI investment", "AI adoption", "AI governance", "AI opportunities", "AI programs", "AI work", "Leadership", "Mentoring", "AI Strategy", "Business Strategy", "AI Adoption", "Business strategy", "Client advising", "Roadmap development", "Value delivery", "Change management", "Solution adoption", "Business development", "Client relationship management", "Strategic roadmaps", "Strategic direction", "Client decision-making", "Innovative approaches", "Measurable results", "Testable hypotheses", "Ethical AI", "Generative AI", "AI governance certification" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "_score" : 639.18994, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7dc574d8ee00a0950ccb", "title" : "System QA – NAS Product Line (UniFi Drive)", "company" : "Ubiquiti", "industry" : "Technology", "salary" : { "min" : 1050000.0, "max" : 1550000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level System QA in Taiwan's technology industry, adjusted for company size and industry." }, "location" : "Taiwan", "locations" : [ "Taiwan" ], "timestamp" : "2026-06-16T06:55:23.110", "fingerprint" : "1bddca655ae811c6afd9c7354d436451047b996e629ddf695f5233e6a0eb73c4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4233099009", "externalId" : "4233099009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Taiwan", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Taiwan", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Cloud services, APIs, Networking, AWS, EC2, S3, VPC, IAM, Docker, Kubernetes, OAuth", "professionalSkills" : [ "System design", "Test automation" ], "hardSkillsList" : [ "Test strategy", "Automation frameworks", "CI/CD integration", "Networking fundamentals", "API validation", "Backend validation", "Authentication flows", "Debugging", "AI tools" ], "hardSkills" : [ { "name" : "Test strategy", "level" : "intermediate" }, { "name" : "Automation frameworks", "level" : "intermediate" }, { "name" : "CI/CD integration", "level" : "intermediate" }, { "name" : "Networking fundamentals", "level" : "intermediate" }, { "name" : "API validation", "level" : "intermediate" }, { "name" : "Backend validation", "level" : "intermediate" }, { "name" : "Authentication flows", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" }, { "name" : "AI tools", "level" : "intermediate" } ], "majorSkills" : "Cloud QA, Automation, AI-assisted workflows", "majorSkillsList" : [ "Cloud QA", "Automation", "AI-assisted workflows" ], "coreResponsibilities" : "Design automated test strategies, Implement automated test strategies, Build automation frameworks, Maintain automation frameworks, Integrate with CI/CD, Leverage AI tools, Generate test cases, Improve automation, Debug issues, Evaluate AI-generated outputs, Improve QA efficiency, Own validation across cloud services, Validate APIs, Validate networking, Validate distributed system interactions, Cover service-to-service flows, Cover data consistency, Cover failure handling, Validate real-world scenarios, Validate deployment, Validate upgrade, Validate connectivity, Validate long-running usage, Perform load testing, Perform stress testing, Debug issues across cloud, Debug issues across backend, Debug issues across networking, Use logs for debugging, Use observability tools for debugging, Validate authentication, Validate authorization, Validate access control, Ensure reliable system behavior, Ensure secure system behavior, Work with developers, Work with PMs, Define quality standards, Define release criteria, Provide clear bug reports", "teamCollaboration" : "Work with developers; Work with PMs", "domainKnowledge" : "Cloud services; Distributed systems; Networking fundamentals; SaaS systems; Authentication systems", "domainList" : [ "cloud-services", "distributed-systems", "networking-fundamentals", "saas-systems", "authentication-systems" ], "domainSpecificKnowledge" : [ "Cloud services", "Distributed systems", "Networking fundamentals", "SaaS systems", "Authentication systems" ], "toolProficiency" : [ "Pytest", "Playwright", "Selenium", "Jenkins" ], "documentationSkills" : "Bug reports", "problemSolvingSkills" : "Debugging; Troubleshooting", "qualificationsBasic" : "Design and execute end-to-end test strategies, Hands-on ability in Python, Solid experience with automation frameworks, Hands-on experience integrating tests into CI/CD, Working knowledge of networking fundamentals, Ability to perform API and backend validation, Debugging capability across cloud services, Practical use of AI tools", "qualificationsPreferred" : "Hands-on knowledge of AWS infrastructure, Experience with large-scale SaaS, Familiarity with Docker / Kubernetes, Experience with observability tools, Familiarity with authentication and identity systems", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Overview We’re looking for a technically strong and user-focused Cloud QA Engineer to join our UniFi Cloud Service team. This role plays a key part in ensuring our cloud platform delivers a reliable, scalable, and seamless experience across distributed systems. The focus is on building scalable test systems, validating cloud services, APIs, and networking behaviors under real-world conditions, while continuously improving QA efficiency through automation and AI-assisted workflows. You’ll take ownership of end-to-end validation across cloud, backend, and networking layers, with strong emphasis on automation, system reliability, and quality at scale. Key Responsibilities Automation & AI-driven QA Design and implement automated test strategies across API, integration, and end-to-end flows Build and maintain automation frameworks (Python preferred) and integrate with CI/CD Leverage AI tools to generate test cases, improve automation, and debug issues Evaluate AI-generated outputs and improve QA efficiency through AI-assisted workflows End-to-End Validation Own validation across cloud services, APIs, networking, and distributed system interactions Cover service-to-service flows, data consistency, and failure handling Validate real-world scenarios including deployment, upgrade, connectivity, and long-running usage Perform load/stress testing to ensure system behavior at scale Debugging & Reliability Debug issues across cloud, backend, and networking layers using logs and observability tools Validate authentication, authorization, and access control Ensure reliable and secure system behavior under different conditions Collaboration & Quality Improvement Work with developers and PMs to define quality standards and release criteria Provide clear bug reports with repro steps, logs, and impact Drive improvements in QA processes, automation coverage, and tooling Qualifications Required Proven ability to design and execute end-to-end test strategies for cloud or distributed systems Strong hands-on ability in Python for building automation frameworks and test tooling Solid experience with automation frameworks (Pytest, Playwright, or Selenium) Hands-on experience integrating tests into CI/CD pipelines (e.g., Jenkins) Strong working knowledge of networking fundamentals (TCP/IP, DNS, DHCP, NAT, VLAN, VPN) Ability to perform API and backend validation, including authentication flows (tokens, sessions, OAuth) Strong debugging capability across cloud services, networking, and backend systems Practical use of AI tools to improve test design, automation, and debugging workflows Strong ownership mindset and ability to drive issues to resolution Preferred Hands-on knowledge of AWS infrastructure and core services (EC2, S3, VPC, IAM), focusing on networking, security, and service integration Experience with large-scale SaaS or distributed systems Familiarity with Docker / Kubernetes Experience with observability tools (logs, metrics, tracing) Familiarity with authentication and identity systems (OAuth, SSO)", "summaryDescription" : "System QA – NAS Product Line (UniFi Drive) at Ubiquiti. Skills: Cloud QA, Automation, AI-assisted workflows. Design automated test strategies. Implement automated test strategies", "postedDate" : "2026-06-14T18:41:18.337", "createdAt" : "2026-06-14T18:41:18.337", "lastUpdated" : "2026-06-16T06:55:23.110", "ingestTimestamp" : "2026-06-14T18:41:18.337", "mongoId" : "6a2c7dc574d8ee00a0950ccb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Test strategy", "Automation frameworks", "CI/CD integration", "Networking fundamentals", "API validation", "Backend validation", "Authentication flows", "Debugging", "AI tools", "Cloud QA", "Automation", "AI-assisted workflows", "System design", "Test automation", "Cloud services", "Distributed systems", "SaaS systems", "Authentication systems", "Pytest", "Playwright", "Selenium", "Jenkins" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 636.2787, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68b706957fc9a711f0f6edba", "title" : "Business Development Manager - FSI, FSI BD Team", "company" : "Amazon Web Services", "industry" : "Sales, Advertising, Account Management, Tech Sales, Cloud Computing", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Business Development Manager in Taipei City, Taiwan, adjusted for the technology industry and large company size." }, "location" : "Taipei City, TWN", "locations" : [ "Taipei City, TWN" ], "timestamp" : "2026-06-14T23:44:15.846", "fingerprint" : "378fd7b5311e8f91406a27f9129c4ad3c68001065dfb04a622b0e05702650013", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3070438/apply", "externalId" : "a4b3641c-631e-49be-864d-9b04ae063b29", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Taipei City", "country" : "Taiwan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "25.0200960,121.4335000" } ], "locationText" : "Taipei City, Taiwan", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceLevel" : "Manager", "technicalSkills" : "AI, Machine Learning", "professionalSkills" : [ "Consultative selling", "Thought leadership", "Executive relationship development" ], "hardSkillsList" : [ "Territory management", "Account management", "Revenue targets" ], "hardSkills" : [ { "name" : "Territory management", "level" : "intermediate" }, { "name" : "Account management", "level" : "intermediate" }, { "name" : "Revenue targets", "level" : "intermediate" } ], "majorSkills" : "Business development, Cloud adoption, AI/ML adoption", "majorSkillsList" : [ "Business development", "Cloud adoption", "AI/ML adoption" ], "coreResponsibilities" : "Manage and develop territory of strategic named accounts, Develop and execute territory plan, Speed up business development, Deepen strategic cooperation foundation, Influence customer adoption, Sell-in professional services, Work with AWS partners, Extend reach, Drive adoption, Maintain and deliver revenue targets", "teamCollaboration" : "Collaborate with software developers; Collaborate with IT infrastructure; Collaborate with software designers; Collaborate with architects; Collaborate with data scientists; Collaborate with product development", "domainKnowledge" : "Cloud computing; FSI enterprise clients", "domainList" : [ "cloud-computing", "fsi-enterprise-clients" ], "domainSpecificKnowledge" : [ "Cloud computing", "FSI enterprise clients" ], "communicationSkills" : "Executive relationship development", "qualificationsBasic" : "7+ years direct sales or business development, 10+ years business development, partner development, sales or alliances management", "qualificationsPreferred" : "5+ years building profitable partner ecosystems, Experience developing detailed go to market plans", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Since 2006, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud. AWS has been continually expanding its services to support virtually any workload, and it now has more than 240 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, media, and application development, deployment —including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. Amazon Web Services (AWS) is looking for an experienced Business Development professional who is eager to promote the strategic growth and to shape the future of a world which leverages cloud computing. You will engage with FSI enterprise clients' CXO/VP level strategically as well as closely collaborate with software developers, IT infrastructure, software designers, architects, data scientists, product development for AWS Cloud and AI/ML adoption. You must also be a self-starter and strategic thinker who is able to initiate and scale up business development and accelerate business progress by enabling the diverse strategic engagements with different key stakeholders in enterprises with a strong execution capability and fear-free to think out of box to find the innovative approach for helping our customers to handle the business and technical challenges. Key job responsibilities Key job responsibilities - Manage and develop a specific territory of strategic named accounts - containing a mix of existing enterprise customers and net new prospects - Develop and execute against a comprehensive territory plan to speed up business development and deepen the strategic cooperation foundation with enterprise customers - Influence (or impact) customer adoption, through consultative selling, thought leadership, executive relationship development and sell-in of professional services from customer’s perspective - Work with AWS partners to extend reach & drive adoption - Maintain and deliver results against a set of defined revenue and non-revenue targets by obsessing our customers to support them for reaching the success A day in the life AWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. #AWSGCR About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: 7+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience 10+ years of business development, partner development, sales or alliances management experience Preferred Qualifications: 5+ years of building profitable partner ecosystems experience Experience developing detailed go to market plans 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" : "Business Development Manager - FSI, FSI BD Team at Amazon Web Services. Skills: Business development, Cloud adoption, AI/ML adoption. Manage and develop territory of strategic named accounts. Develop and execute territory plan", "postedDate" : "2026-06-13T05:13:57.863", "createdAt" : "2026-06-13T05:13:57.863", "lastUpdated" : "2026-06-14T23:44:15.846", "ingestTimestamp" : "2026-06-13T05:13:57.863", "mongoId" : "68b706957fc9a711f0f6edba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3070438/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Territory management", "Account management", "Revenue targets", "Business development", "Cloud adoption", "AI/ML adoption", "Consultative selling", "Thought leadership", "Executive relationship development", "Cloud computing", "FSI enterprise clients" ], "skillCount" : 11, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "_score" : 635.68304, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "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" : 634.30194, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a18ce4158b93c861e2c7be1", "title" : "International Consultant - AI-assisted age friendly environment", "industry" : "Consulting", "salary" : { "min" : 1200000.0, "max" : 2000000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a mid-seniority International Consultant in Healthcare in Manila, Philippines, adjusted for industry and full-time employment." }, "location" : "Philippines-Manila", "locations" : [ "Philippines-Manila", "Jun 11, 2026, 11:59:00 PM", "Philippines-Manila, " ], "timestamp" : "2026-06-16T07:11:25.173", "fingerprint" : "f78a889000f8b41845a87b352e9ee5b8643efeda184735e454fa0def6990596b", "source" : "taleo", "language" : "en", "applyUrl" : "https://who.taleo.net/careersection/ex/jobdetail.ftl?job=391938", "externalId" : "391938", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Manila", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : 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: true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2cafac74d8ee00a09d77ec", "title" : "Senior Project Manager (Autonomous Driving)", "company" : "42dot", "industry" : "PRODUCT", "salary" : { "min" : 8.5E7, "max" : 1.3E8, "currency" : "KRW", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Project Manager in South Korea, adjusted for the technology industry, senior experience level, and the Pangyo city tier." }, "location" : "Pangyo (Software Dream Center), South Korea", "locations" : [ "Pangyo (Software Dream Center), South Korea" ], "certifications" : [ "ISO 26262", "ISO 21448", "UN R171", "Type Approval" ], "timestamp" : "2026-06-16T01:11:10.000", "fingerprint" : "c240e17a58b24360e6852f1b6cba733c311a5dd08e0aa37a67daa77d87ec7806", "source" : "ashby", "language" : "ko", "applyUrl" : "https://jobs.ashbyhq.com/42dot/51c7f616-1b14-4942-ac9a-47dbc77a0150/application", "externalId" : "51c7f616-1b14-4942-ac9a-47dbc77a0150", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pangyo", "country" : "South Korea", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "37.3947237,127.1115312" } ], "locationText" : "Pangyo, South Korea", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI/ML, Software Architecture", "professionalSkills" : [ "Project management", "Program management", "System design", "Requirements definition", "Interface definition", "Roadmap planning", "Execution planning", "Cross-functional coordination", "Gate review operation", "Risk management", "Release management", "Stakeholder communication", "Trend analysis", "Strategy reflection", "Product specification", "Safety strategy", "Milestone management", "Engineering execution", "Technical mediation", "Decision support" ], "hardSkillsList" : [ "Agile development", "Type approval certification", "Global compliance" ], "hardSkills" : [ { "name" : "Agile development", "level" : "intermediate" }, { "name" : "Type approval certification", "level" : "intermediate" }, { "name" : "Global compliance", "level" : "intermediate" } ], "majorSkills" : "Autonomous Driving, Product Management, System Integration, Certification Management", "majorSkillsList" : [ "Autonomous Driving", "Product Management", "System Integration", "Certification Management" ], "coreResponsibilities" : "Lead AD system development, Define AD stack integration scope, Define external platform integration scope, Define milestone, Define MVP, Define roadmap, Define execution plan, Manage ODD requirements, Manage AD function requirements, Manage system requirements, Manage interface requirements, Manage safety requirements, Coordinate Perception organization, Coordinate Planning organization, Coordinate Control organization, Coordinate Localization organization, Coordinate Vehicle Interface organization, Coordinate validation organization, Coordinate quality organization, Coordinate mass production organization, Plan stage-based verification, Operate gate review, Manage backlog, Manage dependency, Manage issue, Manage risk, Manage release, Communicate development status, Communicate schedule, Communicate quality, Communicate risk, Communicate decision points, Analyze global regulations, Reflect trends in roadmap, Reflect trends in strategy, Define product requirements, Specify product, Manage product milestones, Secure product safety, Review product deliverables, Collaborate with engineering, Interface with customers, Interface with partners, Interface with certification bodies, Lead gate reviews, Lead audits, Drive execution across teams, Support technical decisions", "teamCollaboration" : "Cross-functional organizations; Global teams; External technology partners; Vendors; Customers; Partners; Certification bodies; Engineering organizations", "projectManagementSkills" : [ "Agile", "Roadmap", "Milestone", "Risk management", "Release management", "Gate review", "Backlog management", "Dependency management", "Issue management" ], "domainKnowledge" : "Software-defined Vehicle; Autonomous Driving Systems; Vehicle Software; Driver Control Assistance System; Global Type Approval; AD Stack; Vehicle Integration; System Safety; Functional Safety; Autonomous Driving Standards", "domainList" : [ "software-defined-vehicle", "autonomous-driving-systems", "vehicle-software", "driver-control-assistance-system", "global-type-approval", "ad-stack", "vehicle-integration", "system-safety", "functional-safety", "autonomous-driving-standards" ], "domainSpecificKnowledge" : [ "Software-defined Vehicle", "Autonomous Driving Systems", "Vehicle Software", "Driver Control Assistance System", "Global Type Approval", "AD Stack", "Vehicle Integration", "System Safety", "Functional Safety", "Autonomous Driving Standards" ], "toolProficiency" : [ "JIRA", "Confluence" ], "communicationSkills" : "Stakeholder communication; English communication; Technical discussion; Business negotiation", "documentationSkills" : "Technical documentation; Product specification; Safety strategy documentation", "problemSolvingSkills" : "Technical problem solving; Product perspective interpretation", "outcomesObjectives" : "Achieve global type approval; Lead product to mass production; Secure product safety; Successfully lead certification process", "qualificationsBasic" : "10+ years project/program management, 5+ years leading complex projects, Autonomous driving development experience, SDV development experience, Vehicle software development experience, AI/ML system development experience, SW/external platform integration experience, AD product lifecycle management, Software development process understanding, Requirements management understanding, Interface management understanding, Release management understanding, Global team collaboration, English communication skills, Requirements management tool usage, Technical documentation writing, OEM interface coordination, Tier 1 interface coordination, Global certification body interface coordination", "qualificationsPreferred" : "ADAS/AD mass production experience, Vehicle integration experience, OTA experience, Data pipeline experience, Perception stack understanding, Planning stack understanding, Control stack understanding, Localization stack understanding, Mapping stack understanding, Sensor fusion stack understanding, Vehicle interface stack understanding, SIL/HIL/VIL understanding, Simulation validation understanding, Scenario-based validation understanding, Proving ground validation understanding, Public road test understanding, Systems engineering experience, Software engineering experience, Vehicle safety experience, Certification experience, ISO 26262 application experience, ISO 21448 application experience, UN R171 application experience, AD architecture understanding, Control unit development process understanding, Global certification body audit experience, Type approval acquisition experience, Product perspective problem solving, Global partner negotiation skills, English technical discussion skills", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "WE ARE LOOKING FOR THE BEST 42dot Product Management 조직은, SDV(Software-defined Vehicle) 에서 자율주행 프로젝트를 리딩할 역량 있는 Product Manager를 찾고 있습니다. 이 역할은 단순 일정 관리가 아닌 Vehicle Software 기반의 차량 개발을 end-to-end로 리딩하는 포지션입니다. 본 포지션은 Vehicle Engineering 이해를 기반으로 하되, Lv 2~ Lv 4 자율주행 시스템의 요구 사항, 개발, 검증, 릴리즈, 차량 적용까지 전 과정을 통합 관리하며, 소프트웨어 아키텍처 관점에서 프로젝트를 구조화하고 리딩할 수 있는 역량이 요구됩니다. 그리고 DCAS(Driver Control Assistance System)의 글로벌 형식 승인(Type Approval) 인증을 담당하여, 인증 전략 수립부터 기술 문서 작성, 내·외부 이해관계자 조율, 인증 기관 심사 대응까지 인증 프로세스 전반을 end-to-end로 주도합니다. 복잡한 자율주행 기술 스택과 다수의 이해관계자 사이에서 명확한 방향성을 제시하고, 글로벌 기준에 부합하는 고품질 인증 산출물을 성공적으로 이끌어낼 분을 모십니다. Responsibilities - AD Product Manager - AD 시스템 개발의 기획, 개발, 검증, 양산까지 end-to-end 프로젝트 리딩 - 자체 개발 AD stack과 외부 플랫폼 간 개발/통합 범위를 정의하고, milestone, MVP, roadmap 및 실행 계획 수립 - ODD, AD 기능, 시스템 요구사항, interface, safety requirement 등 주요 요구사항 관리 및 유관 조직 alignment - Perception, Planning, Control, Localization, Vehicle Interface, 검증, 품질, 양산 등 다양한 조직 간 cross-functional coordination 수행 - SIL/HIL/VIL, simulation, proving ground, public road test 등 단계별 검증 계획 수립 및 gate review 운영 - JIRA, Confluence 등 Agile 기반 프로젝트 운영을 통해 backlog, dependency, issue, risk, release 관리 - 경영진 및 주요 이해관계자 대상 개발 현황, 일정, 품질, 리스크, 주요 의사결정 사항 커뮤니케이션 - DCAS Certification Manager - 글로벌 자율주행 및 ADAS 법규의 트렌드 분석 및 제품 로드맵·출시 전략 반영 - 인증 법규 요구사항 기반의 제품 기능적/비기능적 요구사항 정의 및 제품 스펙 구체화 - 자율주행 제품의 컨셉, 설계, 검증, 최종 형식 승인 및 양산 출시 전 과정의 마일스톤 관리 - 글로벌 표준에 부합하는 제품 안전성 확보 전략 수립 및 산출물의 검토, 엔지니어링 조직과의 협업 - 고객, 협력사, 글로벌 인증 기관과의 인터페이스 총괄 및 제품 승인을 위한 게이트 리뷰 및 심사 리드 - Agile & Engineering Execution - Agile 개발 환경(JIRA, Confluence 등) 기반 운영 - Milestone 관리 - Gate review 리딩 및 경영진 대상 기술 기반 의사결정 지원 - Cross-functional 조직 간 기술 중재 및 실행 드라이브 Qualifications - Automotive, Mobility, Robotics, AI 또는 Software 산업에서 10년 이상 프로젝트/프로그램 관리 경험 - 대규모 cross-functional 또는 복잡도 높은 기술 개발 프로젝트를 5년 이상 리드한 경험 - 자율주행, SDV, 차량 소프트웨어 또는 AI/ML 기반 시스템 개발 프로젝트 경험 - 자체 개발 SW와 외부 솔루션/플랫폼을 함께 활용하는 환경에서 integration, dependency, risk, milestone 관리 경험 - AD 제품의 기획부터 양산까지 전체 라이프사이클 관리 경험 - 소프트웨어 개발 프로세스, 요구사항 관리, interface 관리, release 관리에 대한 이해 - 글로벌 팀, 외부 기술 파트너 또는 vendor와의 협업 및 영어 기반 커뮤니케이션 능력 - 요구사항 관리 및 개발/협업 도구를 활용한 시스템, 소프트웨어 요구사항 정의와 기술 문서 작성 경험 - OEM, Tier 1, 글로벌 인증 기관 등 다양한 이해관계자와의 인터페이스 조율 및 협업 경험 Preferred Qualifications - ADAS/AD 양산 및 vehicle integration, OTA, data pipeline 관련 프로젝트 경험 - Perception, Planning, Control, Localization, Mapping, Sensor Fusion, Vehicle Interface 등 AD stack에 대한 이해 - SIL/HIL/VIL, simulation, scenario-based validation, proving ground, public road test 등 AD 검증 환경에 대한 이해 - 시스템 및 소프트웨어 엔지니어링, 차량 안전 및 인증 관련 3년 이상 실무 경력 - 기능안전/자율주행 표준(ISO 26262, ISO 21448, UN R171 등) 중 1개 이상의 실무 적용 경험 - AD 아키텍처 및 제어기 개발 프로세스 이해를 바탕으로 한 엔지니어링 조직과의 기술 논의 경험 - 글로벌 인증 기관 Audit 대응 및 차량용 시스템/소프트웨어 법규 승인(Type Approval) 획득 경험 - 기술적 이슈를 제품 관점에서 해석하고, 다수의 이해관계자 사이에서 명확한 방향성을 제안하는 역량 - 글로벌 파트너 및 인증 기관 대상의 원활한 영어 기술 논의 및 비즈니스 협상 능력 Interview Process - 서류전형 - 화상면접 (1시간 내외) - 대면 혹은 화상면접 (3시간 내외) - 최종합격 - 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다. - 전형일정 및 결과는 지원서에 등록하신 이메일로 개별 안내드립니다. Additional Information - 이력서 제출 시 주민등록번호, 가족관계, 혼인 여부, 연봉, 사진, 신체조건, 출신 지역 등 채용절차법상 요구 금지된 정보는 제외 부탁드립니다. - 모든 제출 파일은 30MB 이하의 PDF 양식으로 업로드를 부탁드립니다. (이력서 업로드 중 문제가 발생한다면 지원하시고자 하는 포지션의 URL과 함께 이력서를 recruit@42dot.ai으로 전송 부탁드립니다.) - 인터뷰 프로세스 종료 후 지원자의 동의하에 평판조회가 진행될 수 있습니다. - 국가보훈대상자 및 취업보호 대상자는 관계법령에 따라 우대합니다. - 장애인 고용 촉진 및 직업재활법에 따라 장애인 등록증 소지자를 우대합니다. - 42dot은 의뢰하지 않은 서치펌의 이력서를 받지 않으며, 요청하지 않은 이력서에 대해 수수료를 지불하지 않습니다. - 3개월의 수습기간이 적용될 수 있습니다. ※ 지원 전 아래 내용을 꼭 확인해 주세요. - 42dot이 일하는 방식, 42dot Way 보러가기 → https://42dot.ai/careers/way - 42dot만의 업무몰입 프로그램, Employee Engagement Program 보러가기 → https://42dot.ai/careers/program", "summaryDescription" : "Senior Project Manager (Autonomous Driving) at 42dot. Skills: Autonomous Driving, Product Management, System Integration, Certification Management. Lead AD system development. Define AD stack integration scope", "createdAt" : "2026-06-14T20:20:42.189", "lastUpdated" : "2026-06-16T01:11:10.000", "ingestTimestamp" : "2026-06-14T20:20:42.189", "mongoId" : "6a2cafac74d8ee00a09d77ec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Agile development", "Type approval certification", "Global compliance", "Autonomous Driving", "Product Management", "System Integration", "Certification Management", "Project management", "Program management", "System design", "Requirements definition", "Interface definition", "Roadmap planning", "Execution planning", "Cross-functional coordination", "Gate review operation", "Risk management", "Release management", "Stakeholder communication", "Trend analysis", "Strategy reflection", "Product specification", "Safety strategy", "Milestone management", "Engineering execution", "Technical mediation", "Decision support", "Agile", "Roadmap", "Milestone", "Gate review", "Backlog management", "Dependency management", "Issue management", "Software-defined Vehicle", "Autonomous Driving Systems", "Vehicle Software", "Driver Control Assistance System", "Global Type Approval", "AD Stack", "Vehicle Integration", "System Safety", "Functional Safety", "Autonomous Driving Standards", "ISO 26262", "ISO 21448", "UN R171", "Type Approval", "JIRA", "Confluence" ], "skillCount" : 50, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 624.2845, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6960826f0937eae70e9c8c10", "title" : "Practice Support Assistant", "company" : "Atrius Health", "industry" : "Healthcare", "salary" : { "min" : 18.0, "max" : 28.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Internal Medicine", "locations" : [ "Internal Medicine", "Mon-Fri (varies from 8:30-5:00", "Administrative Support, Entry Level, Entry Level" ], "certifications" : [ "Medical office administration certification" ], "timestamp" : "2026-06-15T05:22:48.749", "fingerprint" : "8508c94638db3de4eff479b3b44c084b897f7b9713e74786eb20089793cc1f10", "source" : "taleo", "language" : "en", "applyUrl" : "https://atriushealth.taleo.net/careersection/ex/jobdetail.ftl?job=369288", "externalId" : "369288", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Quincy", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.2509914,-71.0037374" } ], "locationText" : "Quincy, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "technicalSkills" : "Word processing, Spreadsheet programs", "professionalSkills" : [ "Customer service", "Time management", "Organizational skills" ], "hardSkillsList" : [ "Phone coverage", "Outreach calls", "Scheduling", "Check-out process" ], "softSkillsList" : [ "Professional communication" ], "hardSkills" : [ { "name" : "Phone coverage", "level" : "intermediate" }, { "name" : "Outreach calls", "level" : "intermediate" }, { "name" : "Scheduling", "level" : "intermediate" }, { "name" : "Check-out process", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Professional communication" } ], "majorSkills" : "Patient scheduling, Customer service, Clinical operations coordination", "majorSkillsList" : [ "Patient scheduling", "Customer service", "Clinical operations coordination" ], "coreResponsibilities" : "Provide support within a clinical department, Handle phone coverage, Make outreach calls, Perform scheduling for the department, Greet patients, Monitor the waiting room, Handle the check-out process, Schedule follow-up appointments, Deliver excellent customer service, Strengthen the patient/clinician relationship, Improve clinical operations, Coordinate contact between team clinicians and patients, Coordinate contact with referrals outside the unit", "teamCollaboration" : "Collaborate with providers; Coordinate with team clinicians; Coordinate with patients; Coordinate with referrals", "domainKnowledge" : "Health care; Clinical operations", "domainList" : [ "health-care", "clinical-operations" ], "domainSpecificKnowledge" : [ "Health care", "Clinical operations" ], "toolProficiency" : [ "EMR" ], "communicationSkills" : "Professional manner", "continuousLearning" : "Paid professional development", "outcomesObjectives" : "Improve clinical operations", "qualificationsBasic" : "High School diploma or equivalency certificate required, Certification in medical office administration required, One year of experience in a clinical or customer service setting, Computer experience required, Ability to use word processing and spreadsheet programs, Electronic medical record (EMR) experience required, Aptitude to master the EMR", "qualificationsPreferred" : "Associate's degree preferred, Graduate of certification in medical office administration program preferred, Bachelor's degree may be substituted for experience, Associate degree may be substituted for experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Explore opportunities at Atrius Health, part of the Optum family of businesses. We’re an innovative health care leader and multi-specialty group practice, delivering an effective, connected system of care for adult and pediatric patients at 28 practice locations in eastern Massachusetts. Our entire team of providers (physicians, AP/NPs and ancillary clinicians) works collaboratively with a value-based philosophy within our group practice as well as with hospitals, rehab and nursing facilities. Be part of our vision to transform care and improve lives by building trust, understanding and shared decision-making with every patient. Join us and discover the meaning behind Caring. Connecting. Growing together. SUMMARY Under direct supervision, provides support within a clinical department with primary responsibility for phone coverage and outreach calls, scheduling for the department, greeting patients and monitoring the waiting room, handling the check-out process including follow-up appointment scheduling. Delivers excellent customer service and strengthens the patient/clinician relationship. Works to improve clinical operations through coordination of contact between team clinicians, patients and, when needed, referrals outside the unit. EDUCATION/LICENSES/CERTIFICATIONS High School diploma or equivalency certificate (e.g. GED, HiSET, TASC Test) from an accredited institution or governmental unit required or certification in medical office administration required. Associate's degree or graduate of certification in medical office administration program preferred. EXPERIENCE Experience typically acquired though one year of experience in a clinical or customer service setting as determined by the department (a bachelor’s or associate degree may be substituted for experience). Computer experience required with the ability to use word processing and spreadsheet programs. Electronic medical record (EMR) experience and/or aptitude to master the EMR based on other technology experience required. SKILLS Able to communicate in a professional and appropriate manner. Strong interpersonal, customer service, time management, and organizational skills required. The hourly range for this role is $18.86 to $28.28 per hour based on full-time employment. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. Atrius Health complies with all minimum wage laws as applicable. In addition to your salary, Atrius Health offers benefits such as, a comprehensive benefits package, incentive, and recognition programs. No matter where or when you begin a career with Atrius Health, you’ll find a far- reaching choice of benefits and incentives. Atrius Health is committed to a policy of non-discrimination and equal employment opportunity. Applicants will receive consideration for employment without regard to race, national origin, gender, age, color, sex, religion, disability, veteran status, sexual orientation and gender identity and/or expression, or any other characteristic protected by local, state, or federal laws, rules, or regulations. Benefits Include: Up to 8% company retirement contribution, Generous Paid Time Off 10 paid holidays, Paid professional development, Generous health and welfare benefit package. Internal Medicine Quincy MA- Hancock Street", "summaryDescription" : "Practice Support Assistant at Atrius Health. Skills: Patient scheduling, Customer service, Clinical operations coordination. Provide support within a clinical department. Handle phone coverage", "createdAt" : "2026-06-14T04:41:22.073", "lastUpdated" : "2026-06-15T05:22:48.749", "ingestTimestamp" : "2026-06-14T04:41:22.073", "mongoId" : "6960826f0937eae70e9c8c10", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryAnnualMax" : 58240, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Phone coverage", "Outreach calls", "Scheduling", "Check-out process", "Professional communication", "Patient scheduling", "Customer service", "Clinical operations coordination", "Time management", "Organizational skills", "Health care", "Clinical operations", "Medical office administration certification", "EMR" ], "skillCount" : 14, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 621.1978, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307028f292fd229cff164f", "title" : "Senior IT Engineer (AI)", "company" : "Iterable", "industry" : "SaaS", "salary" : { "min" : 145000.0, "max" : 205000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Senior IT Engineer (AI) in Atlanta, United States, with adjustments for seniority, industry, and company size." }, "location" : "Atlanta", "locations" : [ "Atlanta", "Austin", "Boston", "Chicago", "Denver", "Colorado", "United States", "Lisbon", "Lisbon", "Portugal", "London", "England", "United Kingdom", "New York", "New York", "United States", "Remote - United Kingdom", "Remote - United States", "San Francisco" ], "timestamp" : "2026-06-16T12:48:49.433", "fingerprint" : "c2d4d3b75549dc01a1666e87cda074d1c395809a35f044e607335200e5325f0a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/iterable/jobs/7984113", "externalId" : "7984113", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, API development, GCP, Terraform, AI-assisted development", "professionalSkills" : [ "System integration", "Cloud proficiency", "AI implementation", "Technical communication", "Operational mindset" ], "hardSkillsList" : [ "Workflow automation", "Infrastructure engineering", "Certificate management", "DNS administration" ], "hardSkills" : [ { "name" : "Workflow automation", "level" : "intermediate" }, { "name" : "Infrastructure engineering", "level" : "intermediate" }, { "name" : "Certificate management", "level" : "intermediate" }, { "name" : "DNS administration", "level" : "intermediate" } ], "majorSkills" : "AI integration, Infrastructure engineering, API development", "majorSkillsList" : [ "AI integration", "Infrastructure engineering", "API development" ], "coreResponsibilities" : "Design integrations, Build integrations, Develop APIs, Automate workflows, Evaluate AI tools, Operationalize AI tools, Manage GCP resources, Manage APIs, Manage billing, Manage project configuration, Manage access controls, Support AI-assisted development, Support IT infrastructure operations, Manage certificate management, Administer DNS, Use Terraform practices", "teamCollaboration" : "Partner with Enterprise Security", "domainKnowledge" : "Customer engagement platform; AI-powered platform; AI tools; AI-assisted development", "domainList" : [ "customer-engagement-platform", "ai-powered-platform", "ai-tools", "ai-assisted-development" ], "domainSpecificKnowledge" : [ "Customer engagement platform", "AI-powered platform", "AI tools", "AI-assisted development" ], "toolProficiency" : [ "Gemini Enterprise", "Terraform" ], "communicationSkills" : "Technical communication", "qualificationsBasic" : "Proven experience building integrations, Proven experience building automations, Proven experience building tools, Professional experience working with APIs, Professional experience with scripting, Professional experience with cloud platforms, Experience as AI practitioner, Ability to communicate clearly", "qualificationsPreferred" : "Familiarity with Terraform, Experience with enterprise integrations, Familiarity with MCP, Familiarity with AI agent frameworks", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences. Our success is powered by extraordinary people who bring our core values—Be an Owner, Growth Mindset, Run as One, Transparency —to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work. With a global presence—including offices in San Francisco, New York, Denver, London, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together! As a Senior IT Systems Developer (AI) at Iterable, you will help us build the connective tissue between AI platforms and the business systems our teams depend on every day. Reporting to the Senior Director of IT, you will design and build integrations that help teams across the company use AI tools safely and effectively—connecting them to systems like Salesforce, Snowflake, and ADP. This role is equal parts builder and operator. You'll lead on AI integration work while growing your skills in infrastructure engineering, partnering with Enterprise Security to help shape how we approach AI-assisted development. One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description. Responsibilities Integration & Automation: Design and build integrations between AI platforms and corporate business systems, including API development and workflow automation. AI Operationalization: Evaluate and operationalize AI tools as the company's needs evolve—starting with Gemini Enterprise. Cloud Resource Management: Manage the GCP resources that support our AI environment—APIs, billing, project configuration, and access controls. Security Partnership: Partner with Enterprise Security to support the \"vibe coding\" approval process, helping teams build AI-assisted applications securely. Infrastructure Support: Support IT infrastructure operations including certificate management, DNS administration, and Terraform-based infrastructure-as-code practices. Qualifications System Integration: Proven experience building integrations, automations, or tools that connect disparate systems. API & Cloud Proficiency: Professional experience working with APIs, scripting, and cloud platforms. AI Implementation: Experience as an AI practitioner, moving beyond prompting into building with AI tools. Technical Communication: Ability to communicate clearly with both technical and non-technical colleagues. Operational Mindset: Demonstrated ability to manage both creative development and steady-state operational tasks. Additional (Preferred) Familiarity with Terraform or other infrastructure-as-code tools. Experience with enterprise integrations involving Salesforce, Snowflake, or HRIS systems. Familiarity with MCP (Model Context Protocol) or AI agent frameworks. Recruitment Disclaimer: Please be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not: Send job offers from free email services like Gmail, Yahoo mail, Hotmail, etc. Request money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e. g. for home office supplies, or training, etc.). Request or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable. You may see all job vacancies on our official Iterable channels: Official Iterable website, Careers page: https://iterable.com/careers/ Official LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/ Iterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at talent-ops@iterable.com upon receiving a suspicious job offer. Criminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors. Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.", "summaryDescription" : "Senior IT Engineer (AI) at Iterable. Skills: AI integration, Infrastructure engineering, API development. Design integrations. Build integrations", "postedDate" : "2026-06-16T01:16:32.688", "createdAt" : "2026-06-16T01:16:32.688", "lastUpdated" : "2026-06-16T12:48:49.433", "ingestTimestamp" : "2026-06-16T01:16:32.688", "mongoId" : "6a307028f292fd229cff164f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 205000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Workflow automation", "Infrastructure engineering", "Certificate management", "DNS administration", "AI integration", "API development", "System integration", "Cloud proficiency", "AI implementation", "Technical communication", "Operational mindset", "Customer engagement platform", "AI-powered platform", "AI tools", "AI-assisted development", "Gemini Enterprise", "Terraform" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 620.11066, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a24e70374d8ee00a0022dba", "title" : "AI Developer", "company" : "SD Solutions", "industry" : "Technology", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an AI Developer in Warsaw, Poland, adjusted for Lead seniority and the Technology industry." }, "location" : "Warsaw, PL", "locations" : [ "Warsaw", "PL", "Serbia", "Romania" ], "timestamp" : "2026-06-16T02:56:01.579", "fingerprint" : "6284217cde548adc9785f3e2d91bd31270086d7cacd7e36a2bcc587c44fb634f", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://sd-solutions.breezy.hr/p/214ce3dba1df01-nda-adtech-ai-developer", "externalId" : "214ce3dba1df01", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warsaw", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Warsaw, Poland", "employmentType" : "FULL_TIME", "technicalSkills" : "Gen AI", "softSkillsList" : [ "Leadership", "Mentoring" ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "AI Development", "majorSkillsList" : [ "AI Development" ], "coreResponsibilities" : "Lead Gen AI teams, Mentor Gen AI teams, Develop conversational agents, Manage the team", "qualificationsBasic" : "Lead Gen AI teams, Develop conversational agents", "rawDescription" : "On behalf of NDA, AdTech, SD Solutions is looking for a talented AI Developer. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Lead and mentor two Gen AI teams in developing conversational agents. Manage the team r", "summaryDescription" : "AI Developer at SD Solutions. Skills: AI Development. Lead Gen AI teams. Mentor Gen AI teams", "createdAt" : "2026-06-14T18:41:41.054", "lastUpdated" : "2026-06-16T02:56:01.579", "ingestTimestamp" : "2026-06-14T18:41:41.054", "mongoId" : "6a24e70374d8ee00a0022dba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Leadership", "Mentoring", "AI Development" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "_score" : 619.0749, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6960826f0937eae70e9c8c0f", "title" : "Practice Support Assistant", "company" : "Atrius Health", "industry" : "Healthcare", "salary" : { "min" : 18.0, "max" : 28.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Surgical Specialties", "locations" : [ "Surgical Specialties", "Flex", "Medical Assistants/Medical Secretaries, Entry Level, Entry Level" ], "certifications" : [ "Medical office administration certification" ], "timestamp" : "2026-06-15T08:24:08.114", "fingerprint" : "88a76d8ecf15bf17ded2387bc02614d1583c4a0d6b368541375e546f24f97e61", "source" : "taleo", "language" : "en", "applyUrl" : "https://atriushealth.taleo.net/careersection/ex/jobdetail.ftl?job=366909", "externalId" : "366909", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chestnut Hill", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3234553,-71.1639439" }, { "city" : "West Roxbury", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.2792649,-71.1494972" } ], "locationText" : "Chestnut Hill, Massachusetts, United States; West Roxbury, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "technicalSkills" : "Word processing, Spreadsheet programs", "professionalSkills" : [ "Customer service", "Time management", "Organizational skills" ], "hardSkillsList" : [ "Phone coverage", "Outreach calls", "Scheduling", "Check-out process", "Follow-up appointment scheduling" ], "softSkillsList" : [ "Interpersonal skills" ], "hardSkills" : [ { "name" : "Phone coverage", "level" : "intermediate" }, { "name" : "Outreach calls", "level" : "intermediate" }, { "name" : "Scheduling", "level" : "intermediate" }, { "name" : "Check-out process", "level" : "intermediate" }, { "name" : "Follow-up appointment scheduling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Interpersonal skills" } ], "majorSkills" : "Patient scheduling, Customer service, Clinical operations coordination", "majorSkillsList" : [ "Patient scheduling", "Customer service", "Clinical operations coordination" ], "coreResponsibilities" : "Provide support within a clinical department, Handle phone coverage, Make outreach calls, Schedule for the department, Greet patients, Monitor the waiting room, Handle the check-out process, Schedule follow-up appointments, Deliver excellent customer service, Strengthen the patient/clinician relationship, Improve clinical operations, Coordinate contact between team clinicians and patients, Coordinate referrals outside the unit", "teamCollaboration" : "With team clinicians; With patients; With referrals", "domainKnowledge" : "Medical office administration", "domainList" : [ "medical-office-administration" ], "domainSpecificKnowledge" : [ "Medical office administration" ], "communicationSkills" : "Professional communication", "continuousLearning" : "Paid professional development", "outcomesObjectives" : "Improve clinical operations", "qualificationsBasic" : "High School diploma or equivalency certificate required, Computer experience required, Ability to use word processing and spreadsheet programs, Electronic medical record (EMR) experience required, Aptitude to master the EMR based on other technology experience required", "qualificationsPreferred" : "Associate's degree preferred, Graduate of certification in medical office administration program preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Explore opportunities at Atrius Health, part of the Optum family of businesses. We’re an innovative health care leader and multi-specialty group practice, delivering an effective, connected system of care for adult and pediatric patients at 28 practice locations in eastern Massachusetts. Our entire team of providers (physicians, AP/NPs and ancillary clinicians) works collaboratively with a value-based philosophy within our group practice as well as with hospitals, rehab and nursing facilities. Be part of our vision to transform care and improve lives by building trust, understanding and shared decision-making with every patient. Join us and discover the meaning behind Caring. Connecting. Growing together. SUMMARY Under direct supervision, provides support within a clinical department with primary responsibility for phone coverage and outreach calls, scheduling for the department, greeting patients and monitoring the waiting room, handling the check-out process including follow-up appointment scheduling. Delivers excellent customer service and strengthens the patient/clinician relationship. Works to improve clinical operations through coordination of contact between team clinicians, patients and, when needed, referrals outside the unit. EDUCATION/LICENSES/CERTIFICATIONS High School diploma or equivalency certificate (e.g. GED, HiSET, TASC Test) from an accredited institution or governmental unit required or certification in medical office administration required. Associate's degree or graduate of certification in medical office administration program preferred. EXPERIENCE Experience typically acquired though one year of experience in a clinical or customer service setting as determined by the department (a bachelor’s or associate degree may be substituted for experience). Computer experience required with the ability to use word processing and spreadsheet programs. Electronic medical record (EMR) experience and/or aptitude to master the EMR based on other technology experience required. SKILLS Able to communicate in a professional and appropriate manner. Strong interpersonal, customer service, time management, and organizational skills required. The hourly range for this role is $18.86 to $28.28 per hour based on full-time employment. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. Atrius Health complies with all minimum wage laws as applicable. In addition to your salary, Atrius Health offers benefits such as, a comprehensive benefits package, incentive, and recognition programs. No matter where or when you begin a career with Atrius Health, you’ll find a far- reaching choice of benefits and incentives. Atrius Health is committed to a policy of non-discrimination and equal employment opportunity. Applicants will receive consideration for employment without regard to race, national origin, gender, age, color, sex, religion, disability, veteran status, sexual orientation and gender identity and/or expression, or any other characteristic protected by local, state, or federal laws, rules, or regulations. Benefits Include: Up to 8% company retirement contribution, Generous Paid Time Off 10 paid holidays, Paid professional development, Generous health and welfare benefit package. Surgical Specialties Chestnut Hill MA - West Roxbury", "summaryDescription" : "Practice Support Assistant at Atrius Health. Skills: Patient scheduling, Customer service, Clinical operations coordination. Provide support within a clinical department. Handle phone coverage", "createdAt" : "2026-06-14T00:38:34.186", "lastUpdated" : "2026-06-15T08:24:08.114", "ingestTimestamp" : "2026-06-14T00:38:34.186", "mongoId" : "6960826f0937eae70e9c8c0f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryAnnualMax" : 58240, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Phone coverage", "Outreach calls", "Scheduling", "Check-out process", "Follow-up appointment scheduling", "Interpersonal skills", "Patient scheduling", "Customer service", "Clinical operations coordination", "Time management", "Organizational skills", "Medical office administration", "Medical office administration certification" ], "skillCount" : 13, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 611.9961, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307648f292fd229c017e07", "title" : "AI First Developer", "company" : "Smartcat", "industry" : "Technology", "salary" : { "min" : 7000000.0, "max" : 1.2E7, "currency" : "AMD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level AI First Developer in Armenia, adjusted for the technology industry and remote work." }, "location" : "Armenia - Remote", "locations" : [ "Armenia - Remote", "Costa Rica - Remote", "Georgia - Remote", "Portugal - Remote", "Serbia - Remote" ], "timestamp" : "2026-06-16T11:50:41.684", "fingerprint" : "ffd5a96f070e29b9bcc6a9a8677084fa71b587614ef7962478974572d31377ba", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.smartcat.com/career/?gh_jid=6000302004", "externalId" : "6000302004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Armenia", "continent" : "as", "workMode" : "remote" } ], "locationText" : "Armenia", "employmentType" : "FULL_TIME", "technicalSkills" : "AWS, NET, Python, MongoDB, Generative AI, GPT APIs, LLMs", "professionalSkills" : [ "Delivery", "Ownership", "Execution" ], "hardSkillsList" : [ "AI-driven approach", "AI workflows" ], "hardSkills" : [ { "name" : "AI-driven approach", "level" : "intermediate" }, { "name" : "AI workflows", "level" : "intermediate" } ], "majorSkills" : "AI-First Engineering, Software Development, DevOps, Cloud", "majorSkillsList" : [ "AI-First Engineering", "Software Development", "DevOps", "Cloud" ], "coreResponsibilities" : "Deliver production-quality features, Apply AI across development lifecycle, Establish new engineering benchmark, Understand AWS tech stack, .NET tech stack understanding, Python tech stack understanding, MongoDB tech stack understanding, Ship real features using AI, Contribute to improving workflows, Own full lifecycle of feature delivery, Identify improvements in velocity, Identify improvements in automation, Identify improvements in team efficiency, Partner with Product Leads, Partner with Tech Leads, Accelerate time-to-market, Deliver features faster, Deliver features with higher quality, Mentor others on using AI, Drive AI-First engineering standard", "teamCollaboration" : "Cross-functional teams; Product and Tech Leads", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Agentic AI; Enterprise Skill Graph; Hybrid workforces; AI agents; Multilingual content", "domainList" : [ "agentic-ai", "enterprise-skill-graph", "hybrid-workforces", "ai-agents", "multilingual-content" ], "domainSpecificKnowledge" : [ "Agentic AI", "Enterprise Skill Graph", "Hybrid workforces", "AI agents", "Multilingual content" ], "toolProficiency" : [ "Copilot", "Cursor", "WindSurf", "GPT APIs", "LLMs" ], "documentationSkills" : "Documentation", "innovationCreativity" : "AI innovation", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Deliver high-quality features faster; Build and optimize AI-first workflows; Raise the bar for speed; Raise the bar for quality; Raise the bar for ownership; Be a core contributor", "qualificationsBasic" : "Mastery in using AI tools, Technical foundation in AWS, NET technical foundation, Python technical foundation, MongoDB technical foundation, Obsessed with delivery", "qualificationsPreferred" : "Experience with Copilot, Experience with Cursor, Experience with WindSurf, Experience with GPT APIs, Experience with LLMs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. WHY YOU SHOULD JOIN OUR TEAM We are building the future of software development — AI-First is the new standard. You won’t be “experimenting”; you’ll be delivering. Fast. Smart. Relentless. Join the core team that will prove AI-driven engineering is the only way forward. If you love challenges, own your outcomes, and are obsessed with delivery, you’ll thrive here. MISSION As an AI-First Engineer, your mission is to deliver production-quality features at a speed and scale that traditional teams cannot match. You will apply AI aggressively across every stage of the development lifecycle — from requirements and design to coding, testing, and release — and establish a new engineering benchmark for the company. OUTCOMES Consistently deliver high-quality, production-grade features faster than traditional teams. Build and optimize AI-first workflows that integrate AI across all development stages. Raise the bar for speed, quality, and ownership in product delivery. Be a core contributor to the new engineering culture built on AI-First principles. HOW YOU’LL RAMP By Day 30: Deeply understand our AWS, .NET, Python, MongoDB tech stack and delivery model. Start shipping real features using AI at every stage: coding, testing, documenting, releasing. Contribute to improving workflows for even faster delivery. By Day 60: Independently own the full lifecycle of feature delivery through AI-first methods. Identify and drive improvements in velocity, automation, and team efficiency. Partner with Product and Tech Leads to aggressively accelerate time-to-market. By Day 90: Deliver features faster and with higher quality than baseline teams. Actively mentor others on using AI as a multiplier across development. Become a key driver of the AI-First engineering standard inside the company. WHAT YOU’VE ACCOMPLISHED: Proven track record of delivering production-grade products using AI-driven approach. Mastery in using AI tools (Copilot/Cursor/WindSurf (etc, you choose), GPT APIs, LLMs) across the entire development lifecycle — design, code generation, testing, documentation, and release. Strong technical foundation in AWS, .NET, Python, and MongoDB. Obsessed with delivery: you ship, you improve, you own the outcome. Comfortable moving fast, taking ownership, and constantly pushing for better, faster, smarter execution. Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.", "summaryDescription" : "AI First Developer at Smartcat. Skills: AI-First Engineering, Software Development, DevOps, Cloud. Deliver production-quality features. Apply AI across development lifecycle", "postedDate" : "2026-06-16T01:16:59.927", "createdAt" : "2026-06-16T01:16:59.927", "lastUpdated" : "2026-06-16T11:50:41.684", "ingestTimestamp" : "2026-06-16T01:16:59.927", "mongoId" : "6a307648f292fd229c017e07", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "AI-driven approach", "AI workflows", "AI-First Engineering", "Software Development", "DevOps", "Cloud", "Delivery", "Ownership", "Execution", "Agile", "Agentic AI", "Enterprise Skill Graph", "Hybrid workforces", "AI agents", "Multilingual content", "Copilot", "Cursor", "WindSurf", "GPT APIs", "LLMs" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 609.66724, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3056a0f292fd229cf2bede", "title" : "Senior Full Stack Developer", "company" : "super{set} Hive Community", "industry" : "Technology", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Full Stack Developer in Montreal, Canada, adjusted for the technology industry and company size." }, "location" : "remote", "locations" : [ "remote" ], "timestamp" : "2026-06-16T06:14:15.689", "fingerprint" : "c038d5944780ec9ab2f8118f964a0ea0dfb3ba8a1a8ac58579278f4087e1759a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/superset/jobs/5260818008", "externalId" : "5260818008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Montreal", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "45.5031824,-73.5698065" } ], "locationText" : "Montreal, Quebec, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Node.js, React, Python, Go", "professionalSkills" : [ "Architectural judgment", "System design", "Technical decision-making" ], "hardSkillsList" : [ "Full-stack development", "Backend development", "Frontend development", "Database management", "AI integration", "AI development tools" ], "softSkillsList" : [ "Pragmatism", "Adaptability" ], "hardSkills" : [ { "name" : "Full-stack development", "level" : "intermediate" }, { "name" : "Backend development", "level" : "intermediate" }, { "name" : "Frontend development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "AI integration", "level" : "intermediate" }, { "name" : "AI development tools", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Pragmatism" }, { "name" : "Adaptability" } ], "majorSkills" : "Full-stack development, AI integration, Software engineering practices", "majorSkillsList" : [ "Full-stack development", "AI integration", "Software engineering practices" ], "coreResponsibilities" : "Design full-stack applications, Build full-stack applications, Maintain full-stack applications, Develop customer-facing features, Integrate AI capabilities, Build AI development tools, Accelerate delivery, Maintain engineering standards, Define architecture, Define technical approaches, Define implementation plans, Improve system performance, Improve system maintainability, Improve developer experience, Contribute to experimentation culture, Contribute to continuous learning culture, Contribute to pragmatic decision-making culture", "teamCollaboration" : "Collaborate with teammates", "domainKnowledge" : "Agentic AI; AI-driven world; Synthetic data enrichment; AI-powered analytics; Answer engine optimization; Emerging technologies; AI-assisted development", "domainList" : [ "agentic-ai", "ai-driven-world", "synthetic-data-enrichment", "ai-powered-analytics", "answer-engine-optimization", "emerging-technologies", "ai-assisted-development" ], "domainSpecificKnowledge" : [ "Agentic AI", "AI-driven world", "Synthetic data enrichment", "AI-powered analytics", "Answer engine optimization", "Emerging technologies", "AI-assisted development" ], "continuousLearning" : "Learn new technologies; Continuous learning culture", "innovationCreativity" : "Experimentation culture", "problemSolvingSkills" : "Problem-solving; Debugging", "outcomesObjectives" : "Ship impactful product capabilities; Become trusted technical contributor; Establish engineering practices; Identify AI opportunities; Contribute ideas to product evolution; Contribute ideas to technical direction; Support teammates; Mentor teammates", "qualificationsBasic" : "10+ years software development, Software engineering fundamentals, Architectural judgment, Build and ship production applications, Modern web technologies experience, Backend development experience, Databases experience, Understand AI code strengths/limitations, Evaluate AI code quality, Evaluate AI code correctness, Evaluate AI code maintainability, Debugging skills, Problem-solving skills, Learn new languages/frameworks/tools, Pragmatic approach, Balance speed/quality/business needs, Comfort in startup environments, Operate with ambiguity, Operate with autonomy, Operate with evolving priorities, Communication skills, Collaboration skills", "qualificationsPreferred" : "Familiarity with LLM abilities/limitations, Experience in early-stage startups, Experience in small product teams, Exposure to customer discovery, Exposure to product discussions, Experience mentoring engineers, Contribute to engineering culture", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Location: Montreal, QC | Format: Hybrid (3 days/week in office with flexibility) About Kana Kana is an agentic AI platform for marketers. We help enterprise brands find better audiences, optimize campaigns, and stay visible in an AI-driven world using synthetic data enrichment, AI-powered analytics, and answer engine optimization. We believe AI is most powerful when it's thoughtfully integrated into products that solve real problems. Our focus is on turning emerging technologies into intuitive, impactful experiences that customers can immediately benefit from. We're a small, early-stage team building something that doesn't exist yet in the market. The work is hands-on, the problems are difficult, and the opportunity to shape both product and technology is significant. The Role We're looking for a Senior Full Stack Developer to help build and scale the next generation of Kana's products. This is a hands-on role for an experienced builder who enjoys solving complex problems and shipping high-quality software. You'll work across the stack to design, build, and evolve features from concept to production while helping establish engineering practices that enable the team to move quickly and sustainably. You'll use a combination of traditional engineering practices and AI-assisted development workflows to deliver meaningful outcomes for customers. We don't believe AI replaces engineering judgment. We believe it amplifies great engineers who know how to apply it appropriately. The ideal candidate combines strong computer science fundamentals with pragmatism, curiosity, and a bias toward action. You don't need to know every language or framework we use today, but you should be excited to learn new technologies and comfortable diving into unfamiliar territory when the problem demands it. Why This Role Matters AI is changing both what software can do and how software gets built. At Kana, you'll have the opportunity to work with emerging AI technologies while helping define how modern engineering teams leverage AI responsibly and effectively. You'll contribute directly to product direction, influence technical decisions, and help shape products that deliver practical value to enterprise customers. What You'll Own Design, build, and maintain full-stack applications from concept through deployment. Develop customer-facing features that solve meaningful business problems. Integrate AI capabilities into our products in practical, scalable ways. Build new AI development tools to accelerate delivery while maintaining high engineering standards. Collaborate with teammates to define architecture, technical approaches, and implementation plans. Improve system performance, maintainability, and developer experience over time. Contribute to a culture of experimentation, continuous learning, and pragmatic decision-making. This role spans the entire stack. One week you may be designing backend services and APIs; the next, refining user experiences, or improving infrastructure and scalability to support growth. What Success Looks Like In the first 6–9 months: Ship impactful product capabilities used by enterprise customers. Become a trusted technical contributor across the full stack. Help establish engineering practices that balance speed, quality, and maintainability. Identify opportunities to leverage AI within both our product and development workflows. Contribute ideas that influence product evolution and technical direction. Support and mentor teammates as the engineering organization grows. What You Bring Must Have 10+ years of professional software development experience. Strong software engineering fundamentals and architectural judgment. Experience building and shipping production applications across multiple layers of the stack. Hands-on experience with modern web technologies, backend development, and databases. An understanding of both the strengths and limitations of AI-generated code, with the ability to evaluate quality, correctness, and maintainability. Strong debugging and problem-solving skills. Willingness and ability to learn new languages, frameworks, and tools as needed. A pragmatic approach to balancing speed, technical quality, and business needs. Comfort operating in startup environments with ambiguity, autonomy, and evolving priorities. Strong communication and collaboration skills. While experience with our current stack is nice (Node.js, React, Python, Go), we care more about your adaptability, engineering judgment, and willingness to learn than expertise in any specific technology. Nice to Have Familiarity with the abilities and limitations of LLMs. Experience working in early-stage startups or small product teams. Exposure to customer discovery or product discussions. Experience mentoring engineers or contributing to engineering culture. What You Get The opportunity to build products at the intersection of AI and modern software development. Meaningful ownership and influence over technical decisions. A collaborative environment with minimal bureaucracy and high trust. Direct impact on product direction and customer outcomes. Flexibility in how you work, with a hybrid model designed to balance collaboration and focus time. The chance to learn, experiment, and grow alongside a team exploring what's possible with emerging technologies. If you're energized by building great software, curious about the future of AI, and excited by the pace and ownership that come with startup environments, we'd love to hear from you.", "summaryDescription" : "Senior Full Stack Developer at super{set} Hive Community. Skills: Full-stack development, AI integration, Software engineering practices. Design full-stack applications. Build full-stack applications", "postedDate" : "2026-06-15T23:21:09.136", "createdAt" : "2026-06-15T23:21:09.136", "lastUpdated" : "2026-06-16T06:14:15.689", "ingestTimestamp" : "2026-06-15T23:21:09.136", "mongoId" : "6a3056a0f292fd229cf2bede", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Full-stack development", "Backend development", "Frontend development", "Database management", "AI integration", "AI development tools", "Pragmatism", "Adaptability", "Software engineering practices", "Architectural judgment", "System design", "Technical decision-making", "Agentic AI", "AI-driven world", "Synthetic data enrichment", "AI-powered analytics", "Answer engine optimization", "Emerging technologies", "AI-assisted development" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 608.3848, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305591f292fd229cf20339", "title" : "Head of AI", "company" : "Planet", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Head of AI in FinTech in Portugal, adjusted for seniority and company size." }, "location" : "Portugal", "locations" : [ "Portugal" ], "timestamp" : "2026-06-16T12:24:45.661", "fingerprint" : "1902f0f1af19e789c1f43082a4c09b154e1ec12b62832a64c4a60647c6c9c9c0", "source" : "workday", "language" : "en", "applyUrl" : "https://planet.wd3.myworkdayjobs.com/Planet/job/Porto---Portugal/Head-of-AI---Finance_JR11694-1", "externalId" : "JR11694", "industryFunction" : { }, "locationPoint" : "39.3999,-8.2245", "structuredLocations" : [ { "country" : "Portugal", "continent" : "eu", "workMode" : "hybrid" } ], "locationText" : "Portugal", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "**About Planet** Planet is a global provider of integrated technology and payments solutions for retail and hospitality customers. We create great experiences for the millions of people who use our payments, software, and tax-free solutions every minute of every day. Planet empowers its customers to deliver great customer experiences by combining payments and software in ways that drive greater loyalty, increase revenue and save time. Founded over 35 years ago and with our headquarters in London, today we have more than 2,500 employees located across six continents serving our customers in more than 120 markets. **Role overview:** We are seeking a head of AI embedded within Finance, operating as a highly autonomous individual contributor responsible for identifying, shaping, and delivering AI-driven value across the function. This is a Head-of-level role with a small team, requiring an entrepreneurial, self-directed approach that combines strategy, stakeholder management, solution design, and hands-on delivery. The role works directly with the CFO and SVP Finance, acting as the single accountable owner for AI outcomes within Finance. **What you will do** * Identify and deliver high-impact AI use cases across Finance (FP&A, AP/AR, reconciliations, reporting, controls) * Translate Finance problems into deployable AI solutions * Drive end-to-end ownership from idea through MVP, production, adoption, and measurable ROI * In line with our wider AI operating model, AI Leads own use case identification, ROI, delivery, and reporting — acting as the accountable business lead across the full lifecycle. ### **Strategic Ownership (Finance AI Roadmap)** * Partner directly with the CFO and SVP Finance to define the AI roadmap for Finance * Identify high-value opportunities across cost reduction, automation, revenue insight, and risk control * Build and maintain a prioritised backlog of AI use cases * Define success metrics including ROI, efficiency, accuracy, and cycle time ### **End-to-End Use Case Delivery** * Own full lifecycle delivery, including: Problem definitionBusiness case and ROISolution designBuild (hands-on where required)Deployment and scaling * Operate as a player-coach and builder, not solely a strategist * Ensure solutions progress from MVP to scaled adoption to measurable impact ### ### **Senior Stakeholder Management** * Act as the primary AI point of contact for Finance leadership * Engage directly with the CFO, SVP Finance, Finance Directors, and Heads of Function * Translate complex AI concepts into clear commercial outcomes * Manage expectations, prioritisation, and trade-offs ### **Hands-on Solution Design and Delivery** * Design and (where required) build: Automation workflowsAI agents (e.g. reconciliation, query handling, reporting assistants)Data pipelines and integrations (e.g. Snowflake, Workday, ERP systems) * Integrate with enterprise platforms such as Copilot, Bedrock, and our internal AI stack ### **Governance, Risk, and Compliance** * Ensure all Finance AI solutions align with data governance, financial controls, and regulatory requirements * Partner with Legal, Security, and Compliance to de-risk deployments * Embed responsible AI practices and auditability into every solution ### **Adoption and Value Realisation** * Drive genuine adoption within Finance teams, not just delivery * Track and report on cost savings (OPEX), productivity gains, and accuracy improvements * Ensure solutions are reusable and scalable across Finance and the wider business * Success in this role is measured by ROI, adoption, and measurable operational value. ### ### **Operating Model** * **Structure:** Embedded in Finance, functionally aligned to the AI Centre of Excellence * **Working style:** Highly autonomous, self-prioritising, and execution-focused * **Key interfaces:** Finance leadership (primary)AI CoE (standards, platform, support)Data and Engineering teams (delivery support) **Who you are** * Proven experience delivering AI and automation solutions within a business function, ideally Finance * Strong understanding of Finance processes, including reconciliation, AP/AR, reporting, and controls * Ability to operate as a self-sufficient individual contributor across both strategy and delivery * Experience working with senior stakeholders at SVP and CFO level * Hands-on capability across: AI tooling (LLMs, agents, automation platforms)Data and integration work (SQL, APIs, pipelines) * **Commercially minded** — prioritises ROI and business outcomes over experimentation * **Builder mindset** — comfortable being hands-on alongside strategic work * **High ownership** — accountable for outcomes, not activity * **Executive presence** — able to challenge, influence, and earn trust with senior stakeholderss ### **Nice to have** * Experience with ERP systems (Workday, SAP, or equivalent) * Experience with Snowflake or comparable data platforms * Familiarity with AWS or Azure AI services * Background in FinTech or high-volume transaction environments **Why Planet:** Planet is an equal opportunity employer where diversity is valued, and all employment is decided based on qualifications, merit, and business need. Come and grow your career in the most exciting, fast paced technology market, with a business that delivers feel-good connected commerce. **We would love to hear from you – Apply now**. At Planet, we embrace a hybrid work model, with three days a week in the office. Reasonable accommodations may be made in order to allow for an individual to perform the essential functions of this role successfully.", "summaryDescription" : "Head of AI at Planet", "postedDate" : "2026-06-16T03:47:02.408", "createdAt" : "2026-06-16T03:47:02.401", "lastUpdated" : "2026-06-16T12:24:45.661", "ingestTimestamp" : "2026-06-16T03:47:02.401", "mongoId" : "6a305591f292fd229cf20339", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://planet.wd3.myworkdayjobs.com/Planet/job/Porto---Portugal/Head-of-AI---Finance_JR11694-1", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "director", "dataQualityScore" : 0.8888889, "_score" : 600.7893, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305591f292fd229cf20338", "title" : "Head of AI", "company" : "Planet", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Head of AI in the UK technology industry, adjusted for seniority and hybrid work model." }, "location" : "United Kingdom", "locations" : [ "United Kingdom" ], "timestamp" : "2026-06-16T12:22:16.484", "fingerprint" : "f605ae8bb8b7defec7d905196b729c251212a87d9eccf861a96e7d3927e14e93", "source" : "workday", "language" : "en", "applyUrl" : "https://planet.wd3.myworkdayjobs.com/Planet/job/London-office---UK/AI-Principal-Head-of-AI_JR11690", "externalId" : "JR11690", "industryFunction" : { }, "locationPoint" : "55.3781,-3.436", "structuredLocations" : [ { "country" : "United Kingdom", "continent" : "eu", "workMode" : "hybrid" } ], "locationText" : "United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "**About Planet** Planet is a global provider of integrated technology and payments solutions for retail and hospitality customers. We create great experiences for the millions of people who use our payments, software, and tax-free solutions every minute of every day. Planet empowers its customers to deliver great customer experiences by combining payments and software in ways that drive greater loyalty, increase revenue and save time. Founded over 35 years ago and with our headquarters in London, today we have more than 2,500 employees located across six continents serving our customers in more than 120 markets. **Role overview:** The Head of AI – Commercial is responsible for defining and delivering the AI strategy across Commercial functions, driving measurable improvements in revenue enablement, customer insights, and overall commercial performance through the application of AI and data-driven solutions. This role operates within the enterprise AI Centre of Excellence (CoE), partnering closely with Commercial leadership to identify high-impact opportunities, deliver AI initiatives at pace, and scale solutions across the organisation. The focus is on enhancing decision-making, improving customer engagement, and enabling more effective execution of commercial strategies through responsible AI. ## **What you will do** ### **Strategy & Leadership** * Define and execute the AI strategy and roadmap for the Commercial domain aligned to enterprise priorities * Partner with Commercial leadership to identify high-value opportunities across sales, marketing, customer engagement, and revenue optimisation * Build and maintain a prioritised pipeline of AI initiatives focused on improving commercial performance and scalability * Act as a trusted advisor to senior stakeholders on AI-driven opportunities and their impact on business outcomes ### ### **Delivery & Execution** * Own end-to-end delivery of Commercial AI initiatives from discovery through to deployment and adoption * Lead cross-functional teams (data, engineering, product, and Commercial SMEs) to deliver AI solutions at pace * Ensure solutions are scalable, reusable, and aligned with enterprise AI platform standards * Drive adoption and integration of AI solutions into commercial workflows to deliver sustained outcomes ### ### **AI Solution Development (Commercial Focus)** * Lead the design and delivery of AI-enabled solutions that: Enhance customer and market insight generation Improve targeting, segmentation, and engagement strategies Enable more effective identification of commercial opportunities Support data-driven decision-making across sales and marketing processes * Focus on improving visibility, consistency, and effectiveness across commercial activities through advanced analytics and AI ### ### **Governance, Risk & Responsible AI** * Ensure all AI solutions align to enterprise governance frameworks, including risk classification and approval processes * Partner with Legal, Security, and Data Protection teams to ensure compliance with regulatory and policy standards * Champion responsible AI principles including transparency, fairness, and appropriate human oversight * Ensure appropriate controls are in place for AI solutions that influence customer-facing or revenue-related decisions ### ### **Operating Model & Collaboration** * Act as the Commercial domain lead within the AI CoE operating model * Collaborate with central teams responsible for AI platform, standards, and monitoring * Work with business stakeholders to drive use case identification, prioritisation, and value realisation * Contribute to governance forums and cross-functional alignment on AI delivery and adoption ### ### **Performance & Value Realisation** * Define and track KPIs for AI initiatives, including: Revenue enablement and commercial performance impact Effectiveness of customer engagement and targeting Process optimisation and improved decision-making Adoption and utilisation of AI solutions across Commercial teams * Ensure delivery of measurable outcomes that enhance scalability, insight quality, and consistency * Drive initiatives that enable Commercial teams to focus on higher-value strategic activities ## **Who you are** * Significant experience leading AI, data, or digital transformation initiatives within Commercial, Sales, Marketing, or related domains * Strong understanding of commercial processes, customer lifecycle management, and revenue models * Proven track record delivering AI or data-driven solutions at scale * Experience working within governance and regulated environments * Strong stakeholder management and executive communication skills * Strategic thinker with strong commercial awareness * Outcome-driven with a focus on measurable business value * Collaborative leader able to influence across business and technical teams * Strong commitment to responsible and ethical AI * Ability to operate effectively in fast-paced, evolving environments ### ### **Nice to have** * Experience working within an AI Centre of Excellence model * Knowledge of AI platforms, advanced analytics, and data-driven commercial solutions * Familiarity with CRM, marketing platforms, and customer data systems * Experience scaling AI adoption across complex organisational environments **Why Planet:** Planet is an equal opportunity employer where diversity is valued, and all employment is decided based on qualifications, merit, and business need. Come and grow your career in the most exciting, fast paced technology market, with a business that delivers feel-good connected commerce. **We would love to hear from you – Apply now**. At Planet, we embrace a hybrid work model, with three days a week in the office. 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We create great experiences for the millions of people who use our payments, software, and tax-free solutions every minute of every day. Planet empowers its customers to deliver great customer experiences by combining payments and software in ways that drive greater loyalty, increase revenue and save time. Founded over 35 years ago and with our headquarters in London, today we have more than 2,500 employees located across six continents serving our customers in more than 120 markets. **Role overview:** We are seeking a head of AI embedded within Finance, operating as a highly autonomous individual contributor responsible for identifying, shaping, and delivering AI-driven value across the function. This is a Head-of-level role with a small team, requiring an entrepreneurial, self-directed approach that combines strategy, stakeholder management, solution design, and hands-on delivery. The role works directly with the CFO and SVP Finance, acting as the single accountable owner for AI outcomes within Finance. **What you will do** * Identify and deliver high-impact AI use cases across Finance (FP&A, AP/AR, reconciliations, reporting, controls) * Translate Finance problems into deployable AI solutions * Drive end-to-end ownership from idea through MVP, production, adoption, and measurable ROI * In line with our wider AI operating model, AI Leads own use case identification, ROI, delivery, and reporting — acting as the accountable business lead across the full lifecycle. ### **Strategic Ownership (Finance AI Roadmap)** * Partner directly with the CFO and SVP Finance to define the AI roadmap for Finance * Identify high-value opportunities across cost reduction, automation, revenue insight, and risk control * Build and maintain a prioritised backlog of AI use cases * Define success metrics including ROI, efficiency, accuracy, and cycle time ### **End-to-End Use Case Delivery** * Own full lifecycle delivery, including: Problem definitionBusiness case and ROISolution designBuild (hands-on where required)Deployment and scaling * Operate as a player-coach and builder, not solely a strategist * Ensure solutions progress from MVP to scaled adoption to measurable impact ### ### **Senior Stakeholder Management** * Act as the primary AI point of contact for Finance leadership * Engage directly with the CFO, SVP Finance, Finance Directors, and Heads of Function * Translate complex AI concepts into clear commercial outcomes * Manage expectations, prioritisation, and trade-offs ### **Hands-on Solution Design and Delivery** * Design and (where required) build: Automation workflowsAI agents (e.g. reconciliation, query handling, reporting assistants)Data pipelines and integrations (e.g. Snowflake, Workday, ERP systems) * Integrate with enterprise platforms such as Copilot, Bedrock, and our internal AI stack ### **Governance, Risk, and Compliance** * Ensure all Finance AI solutions align with data governance, financial controls, and regulatory requirements * Partner with Legal, Security, and Compliance to de-risk deployments * Embed responsible AI practices and auditability into every solution ### **Adoption and Value Realisation** * Drive genuine adoption within Finance teams, not just delivery * Track and report on cost savings (OPEX), productivity gains, and accuracy improvements * Ensure solutions are reusable and scalable across Finance and the wider business * Success in this role is measured by ROI, adoption, and measurable operational value. ### ### **Operating Model** * **Structure:** Embedded in Finance, functionally aligned to the AI Centre of Excellence * **Working style:** Highly autonomous, self-prioritising, and execution-focused * **Key interfaces:** Finance leadership (primary)AI CoE (standards, platform, support)Data and Engineering teams (delivery support) **Who you are** * Proven experience delivering AI and automation solutions within a business function, ideally Finance * Strong understanding of Finance processes, including reconciliation, AP/AR, reporting, and controls * Ability to operate as a self-sufficient individual contributor across both strategy and delivery * Experience working with senior stakeholders at SVP and CFO level * Hands-on capability across: AI tooling (LLMs, agents, automation platforms)Data and integration work (SQL, APIs, pipelines) * **Commercially minded** — prioritises ROI and business outcomes over experimentation * **Builder mindset** — comfortable being hands-on alongside strategic work * **High ownership** — accountable for outcomes, not activity * **Executive presence** — able to challenge, influence, and earn trust with senior stakeholderss ### **Nice to have** * Experience with ERP systems (Workday, SAP, or equivalent) * Experience with Snowflake or comparable data platforms * Familiarity with AWS or Azure AI services * Background in FinTech or high-volume transaction environments **Why Planet:** Planet is an equal opportunity employer where diversity is valued, and all employment is decided based on qualifications, merit, and business need. Come and grow your career in the most exciting, fast paced technology market, with a business that delivers feel-good connected commerce. **We would love to hear from you – Apply now**. At Planet, we embrace a hybrid work model, with three days a week in the office. Reasonable accommodations may be made in order to allow for an individual to perform the essential functions of this role successfully.", "summaryDescription" : "Head of AI at Planet", "postedDate" : "2026-06-16T03:44:48.555", "createdAt" : "2026-06-16T03:44:48.545", "lastUpdated" : "2026-06-16T13:17:47.228", "ingestTimestamp" : "2026-06-16T03:44:48.545", "mongoId" : "6a305591f292fd229cf20337", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://planet.wd3.myworkdayjobs.com/Planet/job/Warsaw---Poland/Head-of-AI---Finance_JR11693", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "director", "dataQualityScore" : 0.8888889, "_score" : 600.7512, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6960826e0937eae70e9c8be9", "title" : "Practice Support Assistant II", "company" : "Atrius Health", "salary" : { "min" : 21.0, "max" : 32.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Internal Medicine", "locations" : [ "Internal Medicine", "Mon-Fri 8:30a-5:00p", "Medical Assistants/Medical Secretaries, Individual Contributor, Individual Contributor" ], "timestamp" : "2026-06-16T05:17:17.188", "fingerprint" : "1a70c25301fa823aa510fcf76325eaeed82fd12adb702d02afe4d95e75d3f5ea", "source" : "taleo", "language" : "en", "applyUrl" : "https://atriushealth.taleo.net/careersection/ex/jobdetail.ftl?job=370428", "externalId" : "370428", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Braintree", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.2205956,-71.0041229" } ], "locationText" : "Braintree, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 3, "remoteFriendly" : false, "rawDescription" : "Explore opportunities at Atrius Health, part of the Optum family of businesses. We’re an innovative health care leader and multi-specialty group practice, delivering an effective, connected system of care for adult and pediatric patients at 28 practice locations in eastern Massachusetts. Our entire team of providers (physicians, AP/NPs and ancillary clinicians) works collaboratively with a value-based philosophy within our group practice as well as with hospitals, rehab and nursing facilities. Be part of our vision to transform care and improve lives by building trust, understanding and shared decision-making with every patient. Join us and discover the meaning behind Caring. Connecting. Growing together. SUMMARY Under general direction performs expanded and advanced level Practice Support Assistant duties. Participates as an integral member of a medical team and is dedicated to delivering excellent customer service and strengthening the patient/clinician relationship. Able to use a high level of competency and high degree of autonomy in performing all Practice Support Assistant functions. Performs Practice Support Assistant duties with higher level administrative functions added. Higher level functions may vary by department and should be a significant portion of the incumbent’s time. EDUCATION/LICENSES/CERTIFICATIONS High School diploma or equivalency certificate (e.g. GED, HiSET, TASC Test) from an accredited institution or governmental unit required or certification in medical office administration required. Associate's degree in medical office administration program preferred. EXPERIENCE Experience typically acquired through at least three years of experience in a clinical setting with at least one as a Practice Support Assistant (a bachelor’s or associate degree may be substituted for one year of experience). Computer experience required with the ability to use word processing and spreadsheet programs. Electronic medical record (EMR) experience preferred. SKILLS Able to communicate in a professional and appropriate manner. Strong interpersonal, customer service, time management, and organizational skills required. Working knowledge of patient related documents preferred. The annual range for this role is $21.57 to $32.56 per hour based on full-time employment. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. Atrius Health complies with all minimum wage laws as applicable. In addition to your salary, Atrius Health offers benefits such as, a comprehensive benefits package, incentive, and recognition programs. No matter where or when you begin a career with Atrius Health, you’ll find a far- reaching choice of benefits and incentives. Benefits Include: Up to 8% company retirement contribution Generous Paid Time Off 10 paid holidays Paid professional development Generous health and welfare benefit package Atrius Health is committed to a policy of non-discrimination and equal employment opportunity. Applicants will receive consideration for employment without regard to race, national origin, gender, age, color, sex, religion, disability, veteran status, sexual orientation and gender identity and/or expression, or any other characteristic protected by local, state, or federal laws, rules, or regulations. Internal Medicine Braintree MA", "summaryDescription" : "Practice Support Assistant II at Atrius Health", "createdAt" : "2026-06-14T20:45:05.987", "lastUpdated" : "2026-06-16T05:17:17.188", "ingestTimestamp" : "2026-06-14T20:45:05.987", "mongoId" : "6960826e0937eae70e9c8be9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 43680, "salaryAnnualMax" : 66560, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 595.5223, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca4f974d8ee00a09b40fb", "title" : "Director of Product, Growth", "company" : "Quince", "industry" : "E-Commerce", "salary" : { "min" : 240000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Palo Alto, California, United States", "locations" : [ "Palo Alto", "California", "United States" ], "timestamp" : "2026-06-16T03:19:56.190", "fingerprint" : "5b48483985efe0a4937d2da7f6f4bec131a7d703a96542f4c606e9ceeb895f2b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/quince/jobs/5177972008", "externalId" : "5177972008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceLevel" : "Director", "technicalSkills" : "AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User story creation", "Cross-functional collaboration" ], "hardSkillsList" : [ "Marketing automation", "Attribution modeling", "Data analysis", "Experimentation design", "Personalization strategies", "AI tool development" ], "hardSkills" : [ { "name" : "Marketing automation", "level" : "intermediate" }, { "name" : "Attribution modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Experimentation design", "level" : "intermediate" }, { "name" : "Personalization strategies", "level" : "intermediate" }, { "name" : "AI tool development", "level" : "intermediate" } ], "majorSkills" : "Product management, Growth initiatives, AI adoption", "majorSkillsList" : [ "Product management", "Growth initiatives", "AI adoption" ], "coreResponsibilities" : "Understand existing platforms, Optimize existing platforms, Develop strategy for marketing attribution, Develop strategy for optimization, Develop strategy for identity resolution tech, Build autonomous systems, Monitor advertisement spend, Deliver advertisement spend, Build platform to integrate multiple channels, Enable development of personalization engine, Enable development of audience segmentation, Consider and vet third parties, Test new products, Grow products", "teamCollaboration" : "Cross-functional teams; Digital marketing; Data science; Engineering; Retention team; Business teams; Technology teams", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "DTC model; Retail industry; AI in retail; Marketing attribution; Identity resolution; Personalization engine; Audience segmentation", "domainList" : [ "dtc-model", "retail-industry", "ai-in-retail", "marketing-attribution", "identity-resolution", "personalization-engine", "audience-segmentation" ], "domainSpecificKnowledge" : [ "DTC model", "Retail industry", "AI in retail", "Marketing attribution", "Identity resolution", "Personalization engine", "Audience segmentation" ], "toolProficiency" : [ "Marketing automation tools", "Attribution tools", "Analytics tools", "Experimentation tools", "Personalization tools" ], "communicationSkills" : "Written communication; Verbal communication", "innovationCreativity" : "Testing new products; Growth mentality", "problemSolvingSkills" : "Tackle loosely defined problems", "qualificationsBasic" : "10+ years of experience, 7 years in product management, Proven ability to influence cross-functional teams, Demonstrated success in defining and launching products, Excellent written and verbal communication skills, Technical background, Passion to answer Product/Engineering questions with data, Capable of tackling very loosely defined problems, Experience with marketing automation, Experience with attribution, Experience with analytics, Experience with experimentation, Experience with personalization tools, Ability to build AI tools, Foster AI adoption", "qualificationsPreferred" : "AI tools experience", "remoteFriendly" : false, "rawDescription" : "ABOUT QUINCE Founded in 2018, Quince was built to challenge the idea that nice things have to cost a lot. Our mission is simple: to make really high quality essentials for really low prices, produced fairly and sustainably. We believe everyone deserves exceptional craftsmanship and timeless design without the traditional markups. Quince is a direct-to-consumer (DTC) model that cuts out middlemen and leverages just-in-time manufacturing to minimize waste and maximize value. Quince is a tech company disrupting the retail industry by putting AI, analytics and automation at the center of everything we do. Our unwavering commitment to excellence and company values guide our teams and actions: Customer First: We prioritize customer satisfaction in every decision. High Quality: True quality means premium materials and rigorous production standards you can feel good about. Essential Design: We focus on timeless, functional essentials instead of chasing trends. Always a Better Deal: Innovation and transparency ensure value for both customers and partners. Social understand our existing platforms and how to optimize them Collaborate with digital marketing, data science, and engineering to develop the strategy for marketing attribution, optimization, and identity resolution tech Build autonomous systems to monitor and deliver advertisement spend across different channels Build the platform to seamlessly integrate multiple channels working directly with the retention team Work with business and technology teams to enable development of personalization engine and audience segmentation for targeting and personalization Consider and vet possible third parties that may help in Quince’s endeavor Testing and growth mentality – continuous testing of new products Qualifications Required: Overall 10+ years of experience with at least 7 years in product management role for growth initiatives Proven ability to influence cross-functional teams without formal authority Demonstrated success in defining and launching excellent products Excellent written and verbal communication skills Technical background Passion to answer Product/Engineering questions with data Capable of tackling very loosely defined problems Experience with marketing automation, attribution, analytics, experimentation, and personalization tools Ability to build AI tools to achieve the goals and foster AI adoption across the organization All posted ranges are reflective of base salary and may vary depending upon experience level and location. Bonus and equity may also be provided for eligible roles. Pay Range $240,000—$300,000 USD WHY QUINCE? Joining Quince means being part of a mission-driven team reshaping retail. You will work alongside talented colleagues, tackle meaningful challenges, and contribute to building a more sustainable, accessible future for customers and partners alike. EQUAL OPPORTUNITY beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Google Meets or Zoom—never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.", "summaryDescription" : "Director of Product, Growth at Quince. Skills: Product management, Growth initiatives, AI adoption. Understand existing platforms. Optimize existing platforms", "postedDate" : "2026-06-14T18:01:01.494", "createdAt" : "2026-06-14T18:01:01.494", "lastUpdated" : "2026-06-16T03:19:56.190", "ingestTimestamp" : "2026-06-14T18:01:01.494", "mongoId" : "6a2ca4f974d8ee00a09b40fb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 240000, "salaryAnnualMax" : 300000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Marketing automation", "Attribution modeling", "Data analysis", "Experimentation design", "Personalization strategies", "AI tool development", "Product management", "Growth initiatives", "AI adoption", "Product strategy", "Roadmap development", "User story creation", "Cross-functional collaboration", "DTC model", "Retail industry", "AI in retail", "Marketing attribution", "Identity resolution", "Personalization engine", "Audience segmentation", "Marketing automation tools", "Attribution tools", "Analytics tools", "Experimentation tools", "Personalization tools" ], "skillCount" : 25, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 593.1168, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6a9174d8ee00a090ca86", "title" : "AI Developer", "company" : "Atlas Energy Solutions", "industry" : "Logistics", "salary" : { "min" : 75000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level AI Developer in Austin, TX, adjusted for the energy industry and company size." }, "location" : "Austin, Texas, United States", "locations" : [ "Austin", "Texas", "United States" ], "timestamp" : "2026-06-15T10:34:56.304", "fingerprint" : "887d80ddb873bee6ffc760e4dd8cac85c74745cffb9fceb88097b1a0cbd5cb19", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/atlassand/jobs/8589983002", "externalId" : "8589983002", "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", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "domainKnowledge" : "AI/ML/LLM concepts; Prompting; Embeddings; Retrieval; Cloud platforms; DevOps practices", "domainList" : [ "ai-ml-llm-concepts", "prompting", "embeddings", "retrieval", "cloud-platforms", "devops-practices" ], "domainSpecificKnowledge" : [ "AI/ML/LLM concepts", "Prompting", "Embeddings", "Retrieval", "Cloud platforms", "DevOps practices" ], "problemSolvingSkills" : "Troubleshoot issues", "specialRequirements" : "Eligible to work in U.S", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Who We Are: Atlas Energy Solutions Inc. (NYSE: AESI) is a leading solutions provider to the energy industry. Atlas’ portfolio of offerings includes oilfield logistics, distributed power systems, and the largest proppant supply network in the Permian Basin. With a focus on leveraging technology, automation, and remote operations to enhance efficiencies, Atlas is centered around a core mission of improving human beings’ access to hydrocarbons that power our lives and, by doing so, maximizing value creation for our shareholders. How You Will Make an Impact: The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and maintains AI solutions across the business. Responsibilities AI-powered features and applications such as conversational interfaces, workflow automations, MCP servers, and computer vision. Connect AI solutions with Atlas internal systems, Microsoft Graph, Azure services, third-party APIs, and operational data sources. Implement testing strategies for AI behavior including prompt evaluation, regression testing, output validation, and model performance. Apply authentication patterns, data protection controls, and audit logging. Ensure responsible and compliant AI usage by reinforcing approved tools, data handling, and governance guardrails; coordinate privacy/security reviews and escalate risks and exceptions as needed. Monitor deployed solutions for performance, reliability, and cost. Respond to incidents, troubleshoot issues, and drive continuous improvement through analytics and user feedback. Minimum qualifications Bachelor’s degree (in disciplines relevant to business process improvement or technology adoption) or equivalent practical experience/training. Programming: Foundational proficiency in one general purpose programming language (e. g. Python or C#) and one front end framework (e. g. React/JavaScript) Comfort with REST APIs, JSON, DBs and basic data structures Foundations: Understanding of AI/ML/LLM concepts (prompting, embeddings, retrieval) through coursework, personal projects, or internship AI/ML/LLM concepts or project experience Eligible to work in the U. S. without future sponsorship. Demonstrated experience through relevant personal projects with publicly shareable artifacts (e.g., GitHub repositories, demos, technical write-ups, or case studies). Preferred qualifications Experience building LLM-powered applications and automations Exposure to cloud platforms and DevOps practices (Azure Functions, CI/CD pipelines, Git/GitHub, containers). Familiarity with Microsoft tools such as Power Platform, Copilot Studio, Microsoft Foundry, Graph APIs and collaboration platforms (e.g., Teams and SharePoint) Completion of relevant AI-focused certifications and/or accredited boot camps. What You Will Love About Us Best People and Team. Great Place to Work , Hire Vets, Top Place to Work For – Austin American Statesman Your Well-Being is a Priority. 100% covered Medical, Dental, and Vision Invest in Your Future. 401K with company match, immediate vesting Relax and Recharge. Paid time off (non-rotational roles), 15+ company paid holidays Equal Opportunity Employer Statement: Atlas Energy Solutions is an equal opportunity employer and is committed to providing equal employment opportunity to all applicants and employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, pregnancy, gender identity or expression, sexual orientation, genetic information, citizenship status, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. This commitment applies to all aspects of employment, including recruiting, hiring, training, promotion, compensation, benefits, and termination. Reasonable Accommodation Atlas Energy Solutions provides reasonable accommodations to qualified individuals with disabilities and those with pregnancy-related conditions in accordance with applicable law. Job Disclaimer This job description is not intended to be all-inclusive and may be modified at any time based on business needs.", "summaryDescription" : "AI Developer at Atlas Energy Solutions", "postedDate" : "2026-06-14T07:51:42.875", "createdAt" : "2026-06-14T07:51:42.875", "lastUpdated" : "2026-06-15T10:34:56.304", "ingestTimestamp" : "2026-06-14T07:51:42.875", "mongoId" : "6a2c6a9174d8ee00a090ca86", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "AI/ML/LLM concepts", "Prompting", "Embeddings", "Retrieval", "Cloud platforms", "DevOps practices" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 588.6612, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307648f292fd229c017e04", "title" : "AI First Developer", "company" : "Smartcat", "industry" : "SaaS", "salary" : { "min" : 1.2E7, "max" : 1.8E7, "currency" : "AMD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior AI First Developer in the SaaS industry in Armenia, adjusted for remote work and company size." }, "location" : "Armenia - Remote", "locations" : [ "Armenia - Remote", "Costa Rica - Remote", "Georgia - Remote", "Portugal - Remote", "Serbia - Remote" ], "timestamp" : "2026-06-16T12:06:01.285", "fingerprint" : "31e62b733468f5505d1aadd8d61b6702bb64bfe6311cd1c40a1b25d131499fc6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.smartcat.com/career/?gh_jid=6000303004", "externalId" : "6000303004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Armenia", "continent" : "as", "workMode" : "remote" } ], "locationText" : "Armenia", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "NET Core, C#, Python, Vue.js, Nuxt 3, Typescript, MongoDB, PostgreSQL, Elasticsearch, Kafka, AWS", "professionalSkills" : [ "System design", "Product development" ], "hardSkillsList" : [ "Backend development", "API development", "Performance optimization", "Scalability", "Security" ], "softSkillsList" : [ "Problem-solving", "Determination", "Feedback reception" ], "hardSkills" : [ { "name" : "Backend development", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Scalability", "level" : "intermediate" }, { "name" : "Security", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Determination" }, { "name" : "Feedback reception" } ], "majorSkills" : "Backend services, NET Core, C#, MongoDB", "majorSkillsList" : [ "Backend services", "NET Core", "C#", "MongoDB" ], "coreResponsibilities" : "Design backend services, Implement backend services, Develop backend services, Deploy backend services, Optimize application performance, Optimize application scalability, Optimize application security, Collaborate with product managers, Collaborate with frontend engineers, Collaborate with DevOps, Troubleshoot production issues, Resolve production issues, Participate in code reviews, Share knowledge, Continuous learning", "teamCollaboration" : "Cross-functional teams; Product managers; Frontend engineers; DevOps", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Agentic AI; Hybrid workforces; Enterprise Skill Graph; Generative AI; Human-in-the-loop workflows; Multilingual content; Content localization", "domainList" : [ "agentic-ai", "hybrid-workforces", "enterprise-skill-graph", "generative-ai", "human-in-the-loop-workflows", "multilingual-content", "content-localization" ], "domainSpecificKnowledge" : [ "Agentic AI", "Hybrid workforces", "Enterprise Skill Graph", "Generative AI", "Human-in-the-loop workflows", "Multilingual content", "Content localization" ], "toolProficiency" : [ "ELK", "EFK", "Prometheus", "Grafana" ], "documentationSkills" : "Well-documented C# code", "continuousLearning" : "Continuous learning", "innovationCreativity" : "AI innovation", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Solve real-world customer challenges; Ensure seamless integration of services", "qualificationsBasic" : "8+ years Software Engineer, 3+ years .NET, 3+ years C#, 2+ years product companies (SaaS), Upper-intermediate English proficiency", "qualificationsPreferred" : "Experience with Unit tests, Experience with E2E tests, Experience with MongoDB", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Mission As a Senior Backend Engineer, you'll be at the forefront of enhancing our platform's capabilities. You'll design and implement scalable, high-performance backend services that power critical features for our growing client base. Outcomes Design, develop, and deploy backend services and APIs that solve real-world customer challenges Optimize application performance, scalability, and security Collaborate with product managers, frontend engineers, and DevOps to ensure seamless integration of services Troubleshoot and resolve production issues efficiently Actively participate in code reviews, knowledge sharing, and continuous learning Requirements 8+ years of proven professional experience as a Software Engineer, with at least 3 years in .NET and C# 2+ years of experience in product companies (SaaS) Passion and strong skill for writing clean, maintainable, and testable code and well-documented C# code Experience with writing and maintaining Unit tests and E2E tests Advanced experience with MongoDB Upper-intermediate or higher English proficiency (written and spoken) Strong problem-solving skills and a growth mindset Readiness to thrive in a fast-paced startup environment with extreme focus, a strong sense of ownership, and determination Openness to constructive feedback and value the ideas and opinions of others Our technologies Backend: .NET Core (C#), Python Frontend: Vue.js 2/3, Nuxt 3, Typescript Databases: MongoDB, PostgreSQL, Elasticsearch Messaging Queue: Kafka Cloud Provider: Amazon AWS Monitoring & Logging: ELK (EFK), Prometheus, Grafana Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.", "summaryDescription" : "AI First Developer at Smartcat. Skills: Backend services, NET Core, C#, MongoDB. Design backend services. Implement backend services", "postedDate" : "2026-06-16T01:18:23.334", "createdAt" : "2026-06-16T01:18:23.334", "lastUpdated" : "2026-06-16T12:06:01.285", "ingestTimestamp" : "2026-06-16T01:18:23.334", "mongoId" : "6a307648f292fd229c017e04", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Backend development", "API development", "Performance optimization", "Scalability", "Security", "Problem-solving", "Determination", "Feedback reception", "Backend services", "NET Core", "C#", "MongoDB", "System design", "Product development", "Agile", "Agentic AI", "Hybrid workforces", "Enterprise Skill Graph", "Generative AI", "Human-in-the-loop workflows", "Multilingual content", "Content localization", "ELK", "EFK", "Prometheus", "Grafana" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 588.38654, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7f9a74d8ee00a0955d46", "title" : "Standards & Practices Content Analyst", "company" : "Crunchyroll, LLC", "salary" : { "min" : 485000.0, "max" : 725000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Standards & Practices Content Analyst in Mexico City, Mexico, with 2+ years of experience in the Media industry." }, "location" : "Mexico City, Mexico City, Mexico", "locations" : [ "Mexico City", "Mexico City", "Mexico" ], "timestamp" : "2026-06-16T02:42:14.620", "fingerprint" : "95a44c3da7f5aa93d11f56cc07f11de77b944a45df103abc65632d373df385ef", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/crunchyroll/jobs/7990680?gh_jid=7990680", "externalId" : "7990680", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mexico City", "state" : "Mexico City", "country" : "Mexico", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "19.4326296,-99.1331785" } ], "locationText" : "Mexico City, Mexico City, Mexico", "experienceMinYears" : 2, "rawDescription" : "About Crunchyroll Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it’s powered by the anime content we all love. Join our team, and help us shape the future of anime! The Standards & Practices team is responsible for ensuring that all content on the Crunchyroll platform adheres to our internal standards and complies with any legal/regulatory requirements in the countries where we operate. Our goal is to provide our audiences with content ratings and advisories to help them make informed viewing choices. The team embodies Crunchyroll’s collaborative spirit and operates at the intersection of compliance, content operations, and audience trust, playing a critical role in enabling scalable global content distribution while mitigating regulatory and brand risk. Responsibilities: Screen and take detailed content notes on new simulcast and library titles and digital manga Analyze content to determine the appropriate rating and content descriptors in multiple regions Maintain internal and external ratings databases Collaborate with other S&P team members to harmonize rating decisions Identify and escalate potential issues related to ratings and advisories to key stakeholders Perform series and marketplace research Assist department management with staying on top of shifting global attitudes around content. About You: 2+ years experience in broadcast/streaming/gaming standards and practices and/or content review Experience with content ratings systems and regulatory bodies Possess strong critical thinking and analytical skills Familiarity with global cultural, ethnic, geopolitical and religious sensitivities Proven ability to manage a high volume of projects with competing deadlines Excellent written communication skills, especially in conveying visual information clearly and concisely Familiarity with anime and manga highly preferred Ability to analyze and discuss sensitive, potentially offensive material dispassionately and clinically Comfortable with databases (eg Airtable) and structuring large amounts of metadata Excellent trouble-shooting and follow-up skills Ability to work independently Fluency in English required, proficiency in other languages (particularly Japanese and/or Spanish) a plus Ability to work flexible hours to accommodate international colleagues a plus This role requires screening and discussing content that may be sensitive or offensive to certain audiences. Why you will love working at Crunchyroll In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks: Receive a great compensation package including salary plus performance bonus earning potential, paid annually. Flexible time off policies allowing you to take the time you need to be your whole self. Generous medical, dental, vision, STD, LTD, and life insurance Health Saving Account HSA program Health care and dependent care FSA 401(k) plan, with employer match Employer paid commuter benefit Support program for new parents Pet insurance and some of our offices are pet friendly! #LifeAtCrunchyroll ((select from the following job modalities for this role: #LI-Hybrid #LI-remote #LI-onsite)) About our Values We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value Courage. We believe that when we overcome fear, we enable our best selves. Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding. Kaizen. We have a growth mindset committed to constant forward progress. Service. We serve our community with humility, enabling joy and belonging for others. Our commitment to diversity and inclusion Our mission of helping people belong reflects our commitment to diversity & inclusion. It's just the way we do business. We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation. Questions about Crunchyroll’s hiring process? Please check out our Hiring FAQs: https://help.crunchyroll.com/hc/en-us/articles/360040471712-Crunchyroll-Hiring-FAQs Please refer to our Candidate Privacy Policy for more information about how we process your personal information, and your data protection rights: https://tbcdn.talentbrew.com/company/22978/v1_0/docs/spe-jobs-privacy-policy-update-for-crpa-dec-21-22.pdf Please beware of recent scams to online job seekers. Those applying to our job openings will only be contacted directly from @crunchyroll.com email account.", "summaryDescription" : "Standards & Practices Content Analyst at Crunchyroll, LLC", "postedDate" : "2026-06-14T20:12:22.246", "createdAt" : "2026-06-14T20:12:22.246", "lastUpdated" : "2026-06-16T02:42:14.620", "ingestTimestamp" : "2026-06-14T20:12:22.246", "mongoId" : "6a2c7f9a74d8ee00a0955d46", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 585.2898, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a768a74d8ee00a065ca56", "title" : "AI Policy Specialist, Content Standards & Practices", "company" : "Pinterest", "industry" : "Technology", "salary" : { "min" : 98561.0, "max" : 202918.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, US", "locations" : [ "New York", "NY", "US" ], "timestamp" : "2026-06-14T19:31:52.792", "fingerprint" : "8ad82beeddd0e4e62892819efeedc5654fb18394ab5b101c98484235300dcc06", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.pinterestcareers.com/jobs/?gh_jid=7821399", "externalId" : "7821399", "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", "professionalSkills" : [ "Content policy", "Content standards", "Trust and safety", "Policy development", "Risk management", "Guideline implementation", "Use case review", "Policy decisions", "Guidance maintenance", "Scalable workflows", "Content quality", "Appropriateness assessment", "Editorial standards", "Strategy translation", "Information synthesis" ], "hardSkillsList" : [ "AI policy", "Generative AI", "LLMs", "AI models", "AI systems", "Policy analysis", "Risk evaluation", "Bias evaluation", "Information synthesis" ], "softSkillsList" : [ "Integrity", "Ownership" ], "hardSkills" : [ { "name" : "AI policy", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" }, { "name" : "LLMs", "level" : "intermediate" }, { "name" : "AI models", "level" : "intermediate" }, { "name" : "AI systems", "level" : "intermediate" }, { "name" : "Policy analysis", "level" : "intermediate" }, { "name" : "Risk evaluation", "level" : "intermediate" }, { "name" : "Bias evaluation", "level" : "intermediate" }, { "name" : "Information synthesis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Integrity" }, { "name" : "Ownership" } ], "majorSkills" : "AI Policy, Content Standards, Generative AI, Risk Management", "majorSkillsList" : [ "AI Policy", "Content Standards", "Generative AI", "Risk Management" ], "coreResponsibilities" : "Define generative AI guidelines, Draft generative AI guidelines, Align generative AI guidelines, Implement generative AI guidelines, Support generative AI use case review, Document policy decisions, Maintain clear guidance, Track policy questions, Track policy escalations, Track policy trends, Identify guidance improvement opportunities, Identify workflow improvement opportunities, Translate capabilities into guidelines, Translate risks into guidelines, Translate capabilities into workflows, Translate risks into workflows, Assess generative AI models, Assess generative AI systems, Create progress metrics, Measure progress against standards, Communicate progress against standards, Translate strategy for executives, Translate insights for executives, Use AI to synthesize information, Enable faster decision making", "teamCollaboration" : "Cross-functional team; Product partners; Engineering partners; Technical teams; Policy partners; Legal partners", "domainKnowledge" : "Generative AI; LLMs; Content policy; Content standards; Trust and safety; User-generated content", "domainList" : [ "generative-ai", "llms", "content-policy", "content-standards", "trust-and-safety", "user-generated-content" ], "domainSpecificKnowledge" : [ "Generative AI", "LLMs", "Content policy", "Content standards", "Trust and safety", "User-generated content" ], "communicationSkills" : "Articulate strategies; Articulate plans; Persuasive communication; Tailor messaging; Executive presentations; Company-wide forums", "documentationSkills" : "Document policy decisions", "problemSolvingSkills" : "Critically evaluate work; Verify AI work; Identify risks; Evaluate tradeoffs", "specialRequirements" : "In-office 1-2 times, US based applicants only", "outcomesObjectives" : "Uphold content quality; Reduce risk; Support safe experience; Support inspiring experience", "qualificationsBasic" : "3+ years content policy experience, Bachelor's degree Public Policy, Support AI content guideline development, Evaluate AI-assisted work, Build cross-functional relationships", "qualificationsPreferred" : "Familiarity with generative AI trends, Understanding of AI content guidelines", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. We’re seeking an AI Policy Specialist, Content S&P to support the development and implementation of thoughtful generative AI guidelines for content and product experiences. In this role, you’ll collaborate with an exceptional cross-functional team to uphold content quality, reduce risk and support a safe, inspiring experience for people on Pinterest, impacting millions of dreamers on one of the world’s largest user-generated content platforms. Join us in creating a more inspiring and inclusive internet, one Pin at a time. What you’ll do: Define, draft, align, and implement guidelines for generative AI content and new and existing AI-driven products—to ensure we balance user and business needs within an evolving regulatory and competitive environment. Support the review of generative AI use cases, document policy decisions and help maintain clear guidance for internal partners. Track policy questions, escalations and trends to identify opportunities to improve guidance and workflows. Work closely with product and engineering partners to translate emerging capabilities and risks into guidelines and scalable workflows. Assess generative AI models and systems to ensure they meet the bar for content quality and appropriateness that uphold Pinterest’s values. Create, measure, and communicate our progress against Editorial Standards & Practices, confidently translating strategy and insights for executive audiences and company-wide forums. Use AI to synthesize information from policy inputs, product updates and enforcement trends so teams can make decisions faster. What we’re looking for: 3+ years of experience in content policy, content standards, trust and safety or a related field. Bachelor’s degree in a relevant field such as Public Policy, Marketing or equivalent experience. Ability to support the development and implementation of generative AI content guidelines within defined workstreams, with guidance from senior leaders and close cross-functional partnership. Familiarity with industry trends and legal developments related to generative AI and LLMs to identify risks, evaluate tradeoffs and support safe, thoughtful guideline development. Understanding of how generative AI content and product guidelines support a safe and innovative platform for users with continuous evaluation and iteration. Skill in critically evaluating and verifying AI-assisted work for accuracy, completeness and bias before sharing recommendations. Strong communication skills, with the ability to articulate strategies and plans clearly and persuasively to executive audiences and the broader company, tailoring messaging for diverse stakeholders. Experience in building trusted cross-functional relationships with technical teams, Policy, Legal and other partners to support shared priorities and effective execution. High integrity and ownership in using AI, including protecting sensitive information, avoiding over-reliance and remaining accountable for the final work product. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country. #LI-REMOTE #LI-JH4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $98,561—$202,918 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.", "summaryDescription" : "AI Policy Specialist, Content Standards & Practices at Pinterest. Skills: AI Policy, Content Standards, Generative AI, Risk Management. Define generative AI guidelines. Draft generative AI guidelines", "postedDate" : "2026-06-12T00:22:50.882", "createdAt" : "2026-06-12T00:22:50.882", "lastUpdated" : "2026-06-14T19:31:52.792", "ingestTimestamp" : "2026-06-12T00:22:50.882", "mongoId" : "6a2a768a74d8ee00a065ca56", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 98561, "salaryAnnualMax" : 202918, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "AI policy", "Generative AI", "LLMs", "AI models", "AI systems", "Policy analysis", "Risk evaluation", "Bias evaluation", "Information synthesis", "Integrity", "Ownership", "AI Policy", "Content Standards", "Risk Management", "Content policy", "Content standards", "Trust and safety", "Policy development", "Risk management", "Guideline implementation", "Use case review", "Policy decisions", "Guidance maintenance", "Scalable workflows", "Content quality", "Appropriateness assessment", "Editorial standards", "Strategy translation", "User-generated content" ], "skillCount" : 29, "jobCategory" : "other", "jobSubcategory" : "global-content-organization", "dataQualityScore" : 0.7777778, "_score" : 582.66986, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 78911, "totalPages" : 1579, "hasNext" : true, "hasPrevious" : false } }

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