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AI Marketing Specialist Job Description

We have crafted a series of job description examples for a variety of digital roles. Sometimes recruiters and HR departments ask us to help them write their job specs. Since this is very useful to them, we’ve realised that this could be useful to others too, so that’s why we are publishing them here. These examples are the result of careful research from thousands of job offers historically published on our job board, and more than 20 years experience in the market that gives us the insight into what’s needed for any role in digital

Example AI Marketing Specialist Job Description

INTRODUCTION:

  • Company overview: Founding vision, current state of affairs, size, relevant stats. 
  • Role mission: Goals, team, and resources to make it happen. 

RESPONSIBILITIES:

  • Design and implement AI-driven marketing strategies to improve campaign performance, customer targeting, and personalization.
  • Utilize AI tools to analyze and optimize marketing campaigns, including predictive analytics, machine learning algorithms, and automated insights.
  • Analyze large datasets to extract actionable insights and drive data-driven decision-making in marketing strategies.
  • Implement and manage AI-powered marketing tools and platforms, ensuring they are effectively integrated into existing systems and processes.
  • Monitor and evaluate the performance of AI-driven marketing initiatives, providing regular reports and recommendations for improvements.
  • Work closely with cross-functional teams, including marketing, data science, and technology, to ensure cohesive and effective AI marketing solutions.
  • Stay updated on the latest AI advancements and industry trends, applying new technologies and methodologies to enhance marketing efforts.
  • Provide training and support to team members on AI tools and techniques, fostering a culture of innovation and continuous learning.

SKILLS, KNOWLEDGE, AND EXPERIENCE:

  • Minimum 3-4 years of experience in digital marketing with a focus on AI applications, including a proven track record of implementing AI-driven marketing strategies.
  • Bachelor’s degree in Marketing, Data Science, Computer Science, or a related field; relevant certifications in AI or machine learning are highly desirable.
  • Strong understanding of AI and machine learning concepts, including natural language processing, predictive analytics, and automation in marketing.
  • Experience with AI and machine learning platforms, such as TensorFlow, Google AI, or IBM Watson, as well as digital marketing tools like Google Analytics and marketing automation systems.

NICE TO HAVE:

  • Familiarity with Agile or other project management methodologies.
  • Strong analytical skills, with the ability to interpret complex data and derive actionable insights for marketing optimization.
  • Experience with emerging AI technologies and their applications in marketing, including chatbots, recommendation systems, and dynamic content generation.
  • Experience working in cross-functional teams, with a focus on integrating AI solutions into broader marketing strategies.
  • Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders and present AI-driven marketing strategies effectively.
  • Knowledge of industry-specific trends and regulations related to AI in marketing.

BENEFITS: 

  • Salary 
  • Working arrangement: (Hybrid, Remote, Office) 
  • Perks 

CTA (CALL TO ACTION)

We are accepting applications until the end of *MONTH*. We’ll be delighted to meet you for a first interview with *NAME*, our hiring manager.


If you are looking for roles that are more senior account management related, you can check for more Job Descriptions.

If you would like to check 2024 salaries for other positions, check our Salaries for each country. Or you can download our acclaimed  Prosperity Impact Salary Survey  to be on top of current salaries for the impact sector.

Writing a job spec is the first phase of the hiring process at any given company, we love to help companies do this in an effective way so we've put together a post where we explain our secrets for a well structured hiring process and how to make it more efficient.