Specialista Di Marketing Con Competenze In Intelligenza Artificiale

Byblos is a Ready-to-Wear Contemporary Brand, which embraces an unexpected and innovative philosophy, possessing a cool, young, fresh and rock-chic, dynamic soul.
Nature is brought to a new life using eco-friendly materials and choice of addressing to an environmentally safe and cruelty-free fashion system.
For this reason, the trademark symbols chosen for the Brand are the four natural elements: air, water, fire and earth.
These four symbols, not only convey the cleanness of Byblos’ technological graphic, but also translate into imagery the concept of Nature’s Perfection, therefore enclosing the two contrasting worlds which by melting together create the Brand’s DNA.
The concept of the Brand is built upon the fusion of Nature and hi-tech, conceiving a design which can be described as tech-chic-rock.As a whole, the Brand broadens his ispirational references through contaminations that blend Music, Contemporary Art,Street and Nature, that as a chemical reaction, develops further into a “Singolarity” expression of Inclusion, Diversity and Innovation.

1.    Data Analysis: Use AI algorithms to analyze large amounts of data on consumers and their interactions with the brand. This includes analyzing user behavior, preferences, and purchasing trends to guide marketing decisions.
    2.    Personalization: Use AI to personalize the user experience, from customizing digital content and emails to creating tailored shopping experiences that increase the likelihood of conversion.
    3.    Campaign Automation: Use AI-enhanced marketing automation platforms to develop, execute, and monitor multi-channel marketing campaigns. This allows for real-time optimization of campaigns based on feedback and user behavior.
    4.    Search Engine Optimization (SEO) and Search Engine Marketing (SEM): Apply AI to improve SEO and SEM through advanced keyword analysis, content optimization, and campaign management.
    5.    Chatbots and Virtual Assistance: Design and manage AI chatbots to enhance user engagement and provide immediate customer support, facilitating smooth communication and efficiently answering frequently asked questions.
    6.    Prediction and Modeling: Develop predictive models using machine learning to forecast future market trends and consumer behavior, helping the company make proactive decisions.
    7.    Sentiment Analysis: Implement AI tools to analyze consumer sentiment on social media and other digital platforms. This helps better understand public perceptions and adjust communication strategies.
    8.    Reporting and Metrics: Use advanced AI systems to monitor and report on the performance of various marketing strategies and campaigns, providing detailed insights that can be used to further refine marketing tactics.

    1.    Data Analysis: Use AI algorithms to analyze large amounts of data on consumers and their interactions with the brand. This includes analyzing user behavior, preferences, and purchasing trends to guide marketing decisions.
    2.    Personalization: Use AI to personalize the user experience, from customizing digital content and emails to creating tailored shopping experiences that increase the likelihood of conversion.
    3.    Campaign Automation: Use AI-enhanced marketing automation platforms to develop, execute, and monitor multi-channel marketing campaigns. This allows for real-time optimization of campaigns based on feedback and user behavior.
    4.    Search Engine Optimization (SEO) and Search Engine Marketing (SEM): Apply AI to improve SEO and SEM through advanced keyword analysis, content optimization, and campaign management.
    5.    Chatbots and Virtual Assistance: Design and manage AI chatbots to enhance user engagement and provide immediate customer support, facilitating smooth communication and efficiently answering frequently asked questions.
    6.    Prediction and Modeling: Develop predictive models using machine learning to forecast future market trends and consumer behavior, helping the company make proactive decisions.
    7.    Sentiment Analysis: Implement AI tools to analyze consumer sentiment on social media and other digital platforms. This helps better understand public perceptions and adjust communication strategies.
    8.    Reporting and Metrics: Use advanced AI systems to monitor and report on the performance of various marketing strategies and campaigns, providing detailed insights that can be used to further refine marketing tactics.
In general, a marketing specialist with AI skills combines technical competencies related to AI tools and technologies with an in-depth understanding of marketing strategies to enhance the effectiveness of marketing initiatives and drive company growth.
Responsibilities:
    •    Develop and implement innovative marketing strategies supported by artificial intelligence.
    •    Manage and optimize campaigns across various digital channels, including social media.
    •    Analyze performance and create detailed reports for internal teams.
    •    Work closely with design and sales teams to ensure brand consistency.
Required Qualifications:
    •    Proven experience in marketing roles and social media management.
    •    Advanced skills in using Adobe programs and any other program you deem necessary to list.
    •    Ability to assess own competence on a scale from 0 to 10 for each program used.
Competence Evaluation:
    •    Candidates are required to provide a detailed assessment of their technical skills and include specific examples of projects or campaigns in which they have applied these skills.