Tour guide jobs in Spain

Has a genuine passion for Madrid and central Spain, its history, culture, and local life Can guide or driver-guide tours in Madrid and on day trips from Madrid Has a strong natural presence with guests Knows how to lead with warmth, confidence, and professionalism Is an excellent storyteller Underst

Head of AI Adoption & Enablement HBX Group is the world’s leading technology partner, connecting and empowering the world of travel. We’re game-changers, disruptors, the people who bring together local and global brands in accommodation, transport, activities and payments through our network of 300,000 hotels worldwide, 60,000 hard to reach high value clients such as tour operators, travel agents and loyalty schemes across 140 source markets. We are tech-driven, with a customer-first philosophy, and commercial teams whose knowledge and relationships on the ground are second to none. And of course we have an amazing team! Our people, Team HBX Group, are the beating heart of the company who we encourage to ‘move fast, dream big and make the difference’ every day. In fact, we believe that it is tech + data + people that truly sets us apart in the market, alongside our ‘global approach, local touch’ mentality. We’re headquartered in Palma, Mallorca and employ around 3,500 people worldwide. Purpose of the role: The Head of AI Adoption & Enablement is responsible for ensuring AI is effectively deployed and used across HBX, enabling the organization to adopt and scale AI capabilities across all functions. As an AI thought leader for the organization, the role continuously scans the market for emerging AI capabilities to ensure HBX stays at the forefront of practical, secure and scalable AI usage across all functions. Working in close partnership with Technology, the role co-defines which AI platforms and vendor capabilities are used and how they are applied, ensuring alignment with enterprise architecture and security standards. The role owns the central demand management and prioritization of AI use cases (individual-contributor level and mid-tier functional level), ensuring opportunities are prioritized based on value, feasibility and scalability, and translated into measurable usage and impact, with thorough cost control. The role enables functions to deploy AI effectively by providing AI literacy training, guidance and tools, ensuring teams can adopt and implement use cases in a controlled, consistent and secure way. The role also supports the AI-empowered Workforce strategy by enabling the tools, capabilities and ways of working required to scale highest-impact AI initiatives. Responsabilities: • Define and drive adoption of the enterprise AI stack, including copilots, agentic platforms and embedded SaaS capabilities, in partnership with Technology and key vendors. Ensure alignment with technology, data and security standards, and translate business priorities into clear AI usage models and guidance across HBX. - Co‑define the AI licensing strategy with Technology and Procurement, establishing role‑based access models that balance value and cost. Monitor license usage, adoption and value realization to optimize or scale AI tools as needed. - Drive AI literacy and capability building across functions through scalable programmes, training and tools. Build an AI Champion community and ensure adoption delivers measurable behavior change, productivity gains and business impact, tracked through clear KPIs. - Own a central, scalable intake and prioritization process for AI use cases, classifying demand and assessing opportunities based on value, feasibility, scalability, risk and readiness. Track progress, impact and cost while identifying patterns to inform platform and governance decisions. - Partner with Technology to define AI and data platform requirements aligned with the AI‑enabled workforce strategy, acting as the link between business use cases and platform evolution. Ensure interoperability across the AI tool landscape and alignment with orchestration platforms. - Work with Legal, Risk, Security, Technology and Data to define and apply risk‑based AI deployment principles. Support governance and policy adoption to ensure safe, compliant AI use while balancing effective risk management with speed of execution. Skills • Strong understanding of AI platform ecosystems (e.g. copilots, LLMs, agentic platforms) and ability to translate vendor capabilities into business applications - Deep understanding of AI fundamentals, LLMs, AI market solutions and automation tools (incl. prompt engineering, workflow automation, AI assistants & applied GenAI) - Knowledge of enterprise AI tech stacks, role-based access models and configuration standards, ensuring safe and effective usage across the organization. - Experience in demand management and prioritization of AI use cases; balancing value, feasibility and scalability - Strong commercial mindset, with ability to assess and track value, cost (incl. AI/agent usage), and ROI of AI initiatives - Strong change management & behavioral transformation skills - Strong leadership and communication skills to influence senior stakeholders and mobilise global teams. - Ability to operate effectively in a co-ownership model with Technology, translating business needs into platform and capability requirements - Strong decision-making and prioritization skills in high-demand, fast-evolving environments - Strong capability in translating complex AI and LLM concepts into simple, actionable learning adapted to different audiences and expertise levels. - Expertise in learning design, capability building and adult education methodologies for large-scale programmes. - Excellent project planning and coordination abilities to run training waves, manage AI Leads, and orchestrate enablement routines. - Storytelling and communication skills to design awareness campaigns and drive engagement across the organization - High interpersonal and coaching skills to guide AI Leads, functional teams and advanced users. - Analytical skills to track adoption metrics, capability uplift and effectiveness of training programmes. Experience: • 8+ years of experience in Digital Transformation with proven exposure to AI tools in recent years. - Experience working with or alongside enterprise technology teams on platform adoption, SaaS capabilities or AI/automation tools - Experience defining or supporting prioritization frameworks for digital or AI use cases at scale - Exposure to AI platform vendors (e.g. Microsoft, Google, Anthropic) and understanding of how enterprise organizations adopt and scale these capabilities - Exposure to AI/ML tools, LLM-based applications, automation workflows or GenAI platforms, with the ability to translate technology into user-centric adoption. - Experience tracking adoption, usage and value metrics (including cost considerations) for digital or AI initiatives - Demonstrated experience leading large-scale enablement programmes or organizational capability-building initiatives across multiple functions. - Proven track record deploying new digital solutions or workplace technologies at enterprise scale (e.g., automation tools, collaborative platforms, AI assistants). - Experience driving behavioral and cultural change, supporting functional teams in adopting new digital capabilities. - Hands-on experience coordinating training delivery, content development, role-based learning pathways and stakeholder engagement. - Experience collaborating with Product, Tech, HR and business units to embed new digital capabilities into day-to-day operations. - Experience managing external training vendors, content partners or digital capability providers Qualifications: • Bachelor’s degree in Business, Engineering, Computer Science or related - Master’s degree, MBA or equivalent preferred - Certifications in change management, AI fundamentals, agile or learning design preferred At HBX Group, we believe that diversity drives innovation and makes travel a force for good. We're committed to creating an inclusive workplace where everyone feels valued and respected, embracing different backgrounds, perspectives and talents. Join us and be part of a team where diversity and equal opportunities really do make a difference.

Head of AI Adoption & Enablement HBX Group is the world’s leading technology partner, connecting and empowering the world of travel. We’re game-changers, disruptors, the people who bring together local and global brands in accommodation, transport, activities and payments through our network of 300,000 hotels worldwide, 60,000 hard to reach high value clients such as tour operators, travel agents and loyalty schemes across 140 source markets. We are tech-driven, with a customer-first philosophy, and commercial teams whose knowledge and relationships on the ground are second to none. And of course we have an amazing team! Our people, Team HBX Group, are the beating heart of the company who we encourage to ‘move fast, dream big and make the difference’ every day. In fact, we believe that it is tech + data + people that truly sets us apart in the market, alongside our ‘global approach, local touch’ mentality. We’re headquartered in Palma, Mallorca and employ around 3,500 people worldwide. Purpose of the role: The Head of AI Adoption & Enablement is responsible for ensuring AI is effectively deployed and used across HBX, enabling the organization to adopt and scale AI capabilities across all functions. As an AI thought leader for the organization, the role continuously scans the market for emerging AI capabilities to ensure HBX stays at the forefront of practical, secure and scalable AI usage across all functions. Working in close partnership with Technology, the role co-defines which AI platforms and vendor capabilities are used and how they are applied, ensuring alignment with enterprise architecture and security standards. The role owns the central demand management and prioritization of AI use cases (individual-contributor level and mid-tier functional level), ensuring opportunities are prioritized based on value, feasibility and scalability, and translated into measurable usage and impact, with thorough cost control. The role enables functions to deploy AI effectively by providing AI literacy training, guidance and tools, ensuring teams can adopt and implement use cases in a controlled, consistent and secure way. The role also supports the AI-empowered Workforce strategy by enabling the tools, capabilities and ways of working required to scale highest-impact AI initiatives. Responsabilities: • Define and drive adoption of the enterprise AI stack, including copilots, agentic platforms and embedded SaaS capabilities, in partnership with Technology and key vendors. Ensure alignment with technology, data and security standards, and translate business priorities into clear AI usage models and guidance across HBX., • Co‑define the AI licensing strategy with Technology and Procurement, establishing role‑based access models that balance value and cost. Monitor license usage, adoption and value realization to optimize or scale AI tools as needed., • Drive AI literacy and capability building across functions through scalable programmes, training and tools. Build an AI Champion community and ensure adoption delivers measurable behavior change, productivity gains and business impact, tracked through clear KPIs., • Own a central, scalable intake and prioritization process for AI use cases, classifying demand and assessing opportunities based on value, feasibility, scalability, risk and readiness. Track progress, impact and cost while identifying patterns to inform platform and governance decisions., • Partner with Technology to define AI and data platform requirements aligned with the AI‑enabled workforce strategy, acting as the link between business use cases and platform evolution. Ensure interoperability across the AI tool landscape and alignment with orchestration platforms., • Work with Legal, Risk, Security, Technology and Data to define and apply risk‑based AI deployment principles. Support governance and policy adoption to ensure safe, compliant AI use while balancing effective risk management with speed of execution. Skills • Strong understanding of AI platform ecosystems (e.g. copilots, LLMs, agentic platforms) and ability to translate vendor capabilities into business applications, • Deep understanding of AI fundamentals, LLMs, AI market solutions and automation tools (incl. prompt engineering, workflow automation, AI assistants & applied GenAI), • Knowledge of enterprise AI tech stacks, role-based access models and configuration standards, ensuring safe and effective usage across the organization., • Experience in demand management and prioritization of AI use cases; balancing value, feasibility and scalability, • Strong commercial mindset, with ability to assess and track value, cost (incl. AI/agent usage), and ROI of AI initiatives, • Strong change management & behavioral transformation skills, • Strong leadership and communication skills to influence senior stakeholders and mobilise global teams., • Ability to operate effectively in a co-ownership model with Technology, translating business needs into platform and capability requirements, • Strong decision-making and prioritization skills in high-demand, fast-evolving environments, • Strong capability in translating complex AI and LLM concepts into simple, actionable learning adapted to different audiences and expertise levels., • Expertise in learning design, capability building and adult education methodologies for large-scale programmes., • Excellent project planning and coordination abilities to run training waves, manage AI Leads, and orchestrate enablement routines., • Storytelling and communication skills to design awareness campaigns and drive engagement across the organization, • High interpersonal and coaching skills to guide AI Leads, functional teams and advanced users., • Analytical skills to track adoption metrics, capability uplift and effectiveness of training programmes. Experience: • 8+ years of experience in Digital Transformation with proven exposure to AI tools in recent years., • Experience working with or alongside enterprise technology teams on platform adoption, SaaS capabilities or AI/automation tools, • Experience defining or supporting prioritization frameworks for digital or AI use cases at scale, • Exposure to AI platform vendors (e.g. Microsoft, Google, Anthropic) and understanding of how enterprise organizations adopt and scale these capabilities, • Exposure to AI/ML tools, LLM-based applications, automation workflows or GenAI platforms, with the ability to translate technology into user-centric adoption., • Experience tracking adoption, usage and value metrics (including cost considerations) for digital or AI initiatives, • Demonstrated experience leading large-scale enablement programmes or organizational capability-building initiatives across multiple functions., • Proven track record deploying new digital solutions or workplace technologies at enterprise scale (e.g., automation tools, collaborative platforms, AI assistants)., • Experience driving behavioral and cultural change, supporting functional teams in adopting new digital capabilities., • Hands-on experience coordinating training delivery, content development, role-based learning pathways and stakeholder engagement., • Experience collaborating with Product, Tech, HR and business units to embed new digital capabilities into day-to-day operations., • Experience managing external training vendors, content partners or digital capability providers Qualifications: • Bachelor’s degree in Business, Engineering, Computer Science or related, • Master’s degree, MBA or equivalent preferred, • Certifications in change management, AI fundamentals, agile or learning design preferred At HBX Group, we believe that diversity drives innovation and makes travel a force for good. We're committed to creating an inclusive workplace where everyone feels valued and respected, embracing different backgrounds, perspectives and talents. Join us and be part of a team where diversity and equal opportunities really do make a difference.

Head of AI Adoption & Enablement HBX Group is the world’s leading technology partner, connecting and empowering the world of travel. We’re game-changers, disruptors, the people who bring together local and global brands in accommodation, transport, activities and payments through our network of 300,000 hotels worldwide, 60,000 hard to reach high value clients such as tour operators, travel agents and loyalty schemes across 140 source markets. We are tech-driven, with a customer-first philosophy, and commercial teams whose knowledge and relationships on the ground are second to none. And of course we have an amazing team! Our people, Team HBX Group, are the beating heart of the company who we encourage to ‘move fast, dream big and make the difference’ every day. In fact, we believe that it is tech + data + people that truly sets us apart in the market, alongside our ‘global approach, local touch’ mentality. We’re headquartered in Palma, Mallorca and employ around 3,500 people worldwide. Purpose of the role: The Head of AI Adoption & Enablement is responsible for ensuring AI is effectively deployed and used across HBX, enabling the organization to adopt and scale AI capabilities across all functions. As an AI thought leader for the organization, the role continuously scans the market for emerging AI capabilities to ensure HBX stays at the forefront of practical, secure and scalable AI usage across all functions. Working in close partnership with Technology, the role co-defines which AI platforms and vendor capabilities are used and how they are applied, ensuring alignment with enterprise architecture and security standards. The role owns the central demand management and prioritization of AI use cases (individual-contributor level and mid-tier functional level), ensuring opportunities are prioritized based on value, feasibility and scalability, and translated into measurable usage and impact, with thorough cost control. The role enables functions to deploy AI effectively by providing AI literacy training, guidance and tools, ensuring teams can adopt and implement use cases in a controlled, consistent and secure way. The role also supports the AI-empowered Workforce strategy by enabling the tools, capabilities and ways of working required to scale highest-impact AI initiatives. Responsabilities: • Define and drive adoption of the enterprise AI stack, including copilots, agentic platforms and embedded SaaS capabilities, in partnership with Technology and key vendors. Ensure alignment with technology, data and security standards, and translate business priorities into clear AI usage models and guidance across HBX., • Co‑define the AI licensing strategy with Technology and Procurement, establishing role‑based access models that balance value and cost. Monitor license usage, adoption and value realization to optimize or scale AI tools as needed., • Drive AI literacy and capability building across functions through scalable programmes, training and tools. Build an AI Champion community and ensure adoption delivers measurable behavior change, productivity gains and business impact, tracked through clear KPIs., • Own a central, scalable intake and prioritization process for AI use cases, classifying demand and assessing opportunities based on value, feasibility, scalability, risk and readiness. Track progress, impact and cost while identifying patterns to inform platform and governance decisions., • Partner with Technology to define AI and data platform requirements aligned with the AI‑enabled workforce strategy, acting as the link between business use cases and platform evolution. Ensure interoperability across the AI tool landscape and alignment with orchestration platforms., • Work with Legal, Risk, Security, Technology and Data to define and apply risk‑based AI deployment principles. Support governance and policy adoption to ensure safe, compliant AI use while balancing effective risk management with speed of execution. Skills • Strong understanding of AI platform ecosystems (e.g. copilots, LLMs, agentic platforms) and ability to translate vendor capabilities into business applications, • Deep understanding of AI fundamentals, LLMs, AI market solutions and automation tools (incl. prompt engineering, workflow automation, AI assistants & applied GenAI), • Knowledge of enterprise AI tech stacks, role-based access models and configuration standards, ensuring safe and effective usage across the organization., • Experience in demand management and prioritization of AI use cases; balancing value, feasibility and scalability, • Strong commercial mindset, with ability to assess and track value, cost (incl. AI/agent usage), and ROI of AI initiatives, • Strong change management & behavioral transformation skills, • Strong leadership and communication skills to influence senior stakeholders and mobilise global teams., • Ability to operate effectively in a co-ownership model with Technology, translating business needs into platform and capability requirements, • Strong decision-making and prioritization skills in high-demand, fast-evolving environments, • Strong capability in translating complex AI and LLM concepts into simple, actionable learning adapted to different audiences and expertise levels., • Expertise in learning design, capability building and adult education methodologies for large-scale programmes., • Excellent project planning and coordination abilities to run training waves, manage AI Leads, and orchestrate enablement routines., • Storytelling and communication skills to design awareness campaigns and drive engagement across the organization, • High interpersonal and coaching skills to guide AI Leads, functional teams and advanced users., • Analytical skills to track adoption metrics, capability uplift and effectiveness of training programmes. Experience: • 8+ years of experience in Digital Transformation with proven exposure to AI tools in recent years., • Experience working with or alongside enterprise technology teams on platform adoption, SaaS capabilities or AI/automation tools, • Experience defining or supporting prioritization frameworks for digital or AI use cases at scale, • Exposure to AI platform vendors (e.g. Microsoft, Google, Anthropic) and understanding of how enterprise organizations adopt and scale these capabilities, • Exposure to AI/ML tools, LLM-based applications, automation workflows or GenAI platforms, with the ability to translate technology into user-centric adoption., • Experience tracking adoption, usage and value metrics (including cost considerations) for digital or AI initiatives, • Demonstrated experience leading large-scale enablement programmes or organizational capability-building initiatives across multiple functions., • Proven track record deploying new digital solutions or workplace technologies at enterprise scale (e.g., automation tools, collaborative platforms, AI assistants)., • Experience driving behavioral and cultural change, supporting functional teams in adopting new digital capabilities., • Hands-on experience coordinating training delivery, content development, role-based learning pathways and stakeholder engagement., • Experience collaborating with Product, Tech, HR and business units to embed new digital capabilities into day-to-day operations., • Experience managing external training vendors, content partners or digital capability providers Qualifications: • Bachelor’s degree in Business, Engineering, Computer Science or related, • Master’s degree, MBA or equivalent preferred, • Certifications in change management, AI fundamentals, agile or learning design preferred At HBX Group, we believe that diversity drives innovation and makes travel a force for good. We're committed to creating an inclusive workplace where everyone feels valued and respected, embracing different backgrounds, perspectives and talents. Join us and be part of a team where diversity and equal opportunities really do make a difference.

HBX Group is the world’s leading technology partner for the travel industry — connecting and empowering global travel brands through cutting‑edge solutions. Our network spans 300,000 hotels, 60,000 high‑value and hard‑to‑reach clients (including tour operators, travel agents, OTAs, wholesalers, and loyalty schemes), and 140+ source markets. We are a tech‑driven organisation with a customer‑first mindset and deep commercial expertise on the ground. Our people — Team HBX Group — are the heart of our business, encouraged to move fast, think big, and make an impact every day. It’s the combination of technology + data + people, paired with our global reach and local expertise, that sets us apart. Job Summary We are looking for a strategic Senior Product Marketing Manager to bring HBX solutions to the travel distribution ecosystem. This role will own and optimise our value propositions, shape customer‑centric messaging, enable sales with high‑impact tools, and orchestrate cross‑functional go‑to‑market execution. You will partner closely with product, commercial, and marketing teams to strengthen our narrative, accelerate product adoption, and support commercial activation across global travel distribution channels. Key Responsibilities Own and refine compelling value propositions aligned to customer needs and business priorities. Build customer‑centric messaging frameworks and ensure consistency across all channels. Partner with cross‑functional teams to define clear, differentiated messaging for solutions, features, and releases. Develop and maintain battle cards, one‑pagers, solution briefs, FAQs, and other enablement assets. Equip commercial teams with high‑quality materials that support conversions and articulate value clearly. Gather structured customer and market feedback (surveys, interviews, workshops, social listening). Use insights to iterate and strengthen messaging, value propositions, and sales tools. Identify strategic customers with commercial teams to build impactful case studies and proof points. Drive and coordinate cross‑functional GTM initiatives that increase adoption and commercial impact. Ensure strong, consistent delivery of messaging across digital channels and the HBX website. Collaborate with product and design teams to shape feature positioning and customer‑facing narratives. Support adoption through user guides, product descriptions, and clear customer‑focused content. Influence and align senior stakeholders across product, commercial, and marketing teams. Drive unified messaging and cohesive execution across a matrixed organisation. Skills & Experience 7+ years in product marketing , ideally within B2B travel technology , especially travel distribution (OTAs, wholesalers, tour operators, travel agencies, loyalty platforms, etc.). Exceptional communicator with strong storytelling skills and the ability to simplify complex concepts for technical, executive, and customer audiences. Strategic thinker with strong execution skills and attention to detail. Proven ability to influence senior stakeholders and align cross‑functional teams. Data‑driven, using metrics to shape narratives and guide decisions. Proactive, accountable, and outcome‑focused — demonstrating an owner’s mindset. Degree in Business, Marketing or related field; Master’s preferred. Fluent English; additional languages a plus. At HBX Group, we believe that diversity drives innovation and makes travel a force for good. We're committed to creating an inclusive workplace where everyone feels valued and respected, embracing different backgrounds, perspectives, and talents. Join us and be part of a team where diversity and equal opportunities really do make a difference. #J-18808-Ljbffr

L in Madrid seeks a talented Tour Guide to lead engaging and memorable tours.

JOIN TOURSTILLA as a Tour Guide Are you an actor or actress? An educator or communicator? Do you have stage presence, charisma, and the ability to turn history into an unforgettable experience? Tourstilla, the #1 company on TripAdvisor (Best Tour in the World, Spain and Madrid 2025), we are looking