Role Description We are seeking an AI Trainer with specialization in the Product and R&D organization. The trainer will design and deliver practical learning programs that enable employees, managers, and functional specialists to use AI responsibly in real work. This role emphasizes hands-on capability building aligned to Product and R&D workflows, rather than generic AI lectures. The trainer will partner with: - Product leaders - Product managers - Researchers - Designers - Engineers - Innovation teams - Data teams - Marketing - Sales - Customer success - Executive stakeholders Training will directly support: - Customer insight analysis - Product discovery - Concept testing - Roadmap planning - Technical documentation - Research workflows - Responsible AI practices within product and innovation environments The mission is to help Product and R&D teams identify where AI can create value, understand how to use it safely, and integrate it into everyday work. The trainer will strengthen confidence, reduce uncertainty, and provide practical methods participants can apply immediately. Each session should include: - Business context - Relevant real-world examples - Guided exercises - Clear guidelines for responsible AI use Qualifications - Experience in AI training, corporate learning, enablement, consulting, digital transformation, or specialist work within Product and R&D - Strong understanding of product discovery, customer insight analysis, roadmap planning, technical documentation, research workflows, and innovation processes - Ability to explain AI concepts in clear, practical language without sacrificing professional accuracy - Experience facilitating remote, hybrid, or on-site workshops for professional audiences - Ability to create exercises, templates, examples, and demonstrations that participants can apply in their day-to-day work - Knowledge of research validation, intellectual property, customer data privacy, responsible AI usage, and risks related to AI-driven product development - Strong communication, facilitation, classroom management, and stakeholder alignment skills - Ability to work effectively with global participants across diverse cultures, time zones, and varying technical skill levels Requirements - Design and deliver AI training programs for Product and R&D employees, managers, specialists, analysts, and senior stakeholders - Create department-specific workshops, learning paths, exercises, prompt templates, role-based scenarios, and workflow demonstrations - Teach practical AI use cases connected to product discovery, customer insight analysis, concept testing, roadmap planning, technical documentation, and research knowledge management - Explain generative AI concepts, prompt design, workflow integration, output review, and human-in-the-loop decision-making in clear, business-focused language - Facilitate remote workshops, hybrid programs, live sessions, on-site bootcamps, and executive briefings as needed - Develop training materials such as slide decks, participant guides, quick-reference sheets, assignments, quizzes, adoption checklists, and manager toolkits - Collaborate with implementation teams, IT, security, legal, and functional leaders to ensure training reflects approved tools and governance standards - Evaluate training outcomes using participant feedback, adoption data, skill assessments, and business impact metrics How to Apply Please submit a CV or professional profile along with a short note describing relevant AI implementation or AI training experience, department-specific expertise, and examples of business impact. Portfolio materials, workshop examples, playbooks, prompt libraries, process maps, or case studies may be included where appropriate. The selection process will emphasize practical capability, communication quality, business judgment, and the ability to make AI useful in real departmental workflows.

• Garantir que as soluções de IA funcionem de ponta a ponta em ambiente produtivo • Integrar agentes de IA com sistemas internos e externos (APIs, bancos, etc.) • Estruturar automações e orquestrações de fluxos • Realizar deploy e garantir funcionamento em produção • Monitorar soluções (logs, erros, performance) • Acompanhar o comportamento dos agentes em produção • Identificar falhas e atuar na correção e melhoria contínua • Garantir organização e padronização das integrações e fluxos • Apoiar o time com feedback sobre funcionamento real das soluções

Role Description We are seeking an AI Trainer specialized in the Marketing department. The trainer will design and deliver practical learning programs that help employees, managers, and functional specialists use AI responsibly in real work. The role emphasizes practical capability building grounded in authentic Marketing workflows, rather than generic AI lectures. The trainer will collaborate with Marketing leadership and teams, including brand and content teams, digital and performance marketing specialists, as well as Legal, Data, agencies, and regional teams, to develop department-specific workshops, hands-on exercises, prompt libraries, workflow demonstrations, and adoption materials. Training will directly support: - Campaign planning - Creative briefing - Content production - SEO and audience research - Customer segmentation - Performance reporting - Responsible AI use in marketing-related processes The mission is to enable Marketing teams to understand where AI can create value, how to use it safely, and how to integrate it into everyday work. The trainer will build confidence, reduce uncertainty, and provide practical methods participants can apply immediately. Each session should combine business context, live examples, guided exercises, and clear rules for responsible AI usage. Core Responsibilities - Design and deliver AI training programs for Marketing employees, managers, specialists, analysts, and senior stakeholders. - Develop department-specific workshops, learning paths, exercises, prompt templates, role-based scenarios, and workflow demonstrations. - Instruct on practical AI use cases connected to campaign planning, content production, SEO research, customer segmentation, performance reporting, and brand governance. - Explain generative AI concepts, prompt design, workflow integration, output review, and human-in-the-loop decision-making in clear, business-relevant language. - Facilitate remote workshops, hybrid programs, live sessions, on-site bootcamps, and executive briefings when required. - Create training materials such as slide decks, participant guides, quick-reference sheets, assignments, quizzes, adoption checklists, and manager toolkits. - Partner with implementation teams, IT, security, Legal, and functional leaders to ensure training reflects approved tools and governance standards. - Evaluate training outcomes through participant feedback, adoption data, skill assessments, and business impact indicators. Qualifications - Experience delivering AI training, corporate learning, enablement, consulting, digital transformation, or specialized work within Marketing. - Strong understanding of campaign planning, content production, SEO research, customer segmentation, performance reporting, and marketing operations. - Ability to explain AI concepts in simple, practical language while maintaining professional accuracy. - Experience facilitating remote, hybrid, or on-site workshops for professional audiences. - Ability to create exercises, templates, examples, and demonstrations that participants can apply in daily work. - Knowledge of brand consistency, copyright, factual accuracy, customer data protection, and responsible AI usage in marketing environments. - Strong communication, facilitation, classroom management, and stakeholder alignment skills. - Ability to work effectively with global participants across different cultures, time zones, and technical skill levels. How to Apply Please submit a CV or professional profile along with a short note describing relevant AI implementation or AI training experience, department-specific expertise, and examples of measurable business impact. Portfolio materials, workshop examples, playbooks, prompt libraries, process maps, or case studies may be included where appropriate. The selection process will prioritize practical capability, communication quality, sound business judgment, and the ability to make AI valuable in real departmental workflows.

Role Description We are seeking an AI Trainer specializing in the Finance function. The trainer will design and deliver practical learning programs that help employees, managers, and functional specialists use AI responsibly in day-to-day work. This role is centered on building practical capability tied directly to real Finance workflows, rather than delivering generic AI instruction. The trainer will collaborate with: - CFOs - Controllers - FP&A teams - Accounting - Treasury - Procurement - IT - Audit - Business unit leaders Training will align with: - Reporting workflows - Budgeting and forecasting - Invoice and expense processing - Variance analysis - Cash-flow monitoring - Audit support - Responsible AI usage across finance-related processes Mission of the Role: To help Finance teams identify where AI can add value, understand how to use it safely, and integrate it effectively into everyday work. The trainer will strengthen confidence, reduce uncertainty, and provide actionable methods participants can apply immediately. Each session should combine business context, live examples, guided exercises, and clear guidance for responsible AI usage. Core Responsibilities - Design and deliver AI training programs for Finance employees, managers, specialists, analysts, and senior stakeholders. - Develop department-specific workshops, learning paths, exercises, prompt templates, role-based scenarios, and workflow demonstrations. - Train on practical AI use cases connected to reporting workflows, budgeting and forecasting, invoice processing, variance analysis, cash-flow monitoring, audit support, and financial controls. - Present generative AI concepts, prompt design, workflow integration, output review, and human-in-the-loop decision-making in clear, business-focused language. - Facilitate remote workshops, hybrid programs, live sessions, on-site bootcamps, and executive briefings as required. - Create training materials such as slide decks, participant guides, quick-reference sheets, assignments, quizzes, adoption checklists, and manager toolkits. - Partner with implementation teams, IT, security, legal, and functional leaders to ensure training reflects approved tools and governance standards. - Evaluate training outcomes using participant feedback, adoption metrics, skill assessments, and business impact indicators. Qualifications - Experience in AI training, corporate learning, enablement, consulting, digital transformation, or specialized work within Finance. - Strong understanding of reporting workflows, budgeting and forecasting, invoice and expense processing, variance analysis, cash-flow monitoring, and financial controls. - Ability to explain AI concepts in clear, practical language while maintaining professional precision. - Experience facilitating remote, hybrid, or on-site workshops for professional audiences. - Capability to create exercises, templates, examples, and demonstrations that participants can apply in their daily work. - Knowledge of accuracy, confidentiality, auditability, financial governance, and responsible AI usage in finance-related decisions. - Strong communication, facilitation, classroom management, and stakeholder alignment skills. - Ability to work effectively with global participants across different cultures, time zones, and experience levels. How to Apply Please submit a CV or professional profile along with a short note describing relevant AI implementation or AI training experience, department-specific expertise, and examples of business impact. Portfolio material, workshop examples, playbooks, prompt libraries, process maps, or case studies may be included where appropriate. The selection process will evaluate practical capability, communication quality, business judgment, and the ability to make AI useful in real departmental workflows.