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Marketing Ai Jobs (NOW HIRING)

DoorDash

Manager, Marketing AI Enablement

The Marketing AI Enablement role sits at the center of that work, helping the organization use AI in practical, scalable, and responsible ways. About the Role We are looking for a strategic, highly ...

Asurion

Manager, Marketing AI Solutions Nashville Hybrid or Remote US About the Role As Manager, Marketing AI Solutions , you will build AI capabilities that expand Marketing's reach and become part of how ...

New

Sonar

Marketing AI Engineer

Austin, TX · On-site

Position description As Sonar's Marketing AI Engineer, you design, build, and maintain the AI agents and automated workflows that multiply the impact of the marketing function. You spend time with ...

Sonar

Marketing AI Engineer

Austin, TX · On-site

Position description As Sonar's Marketing AI Engineer, you design, build, and maintain the AI agents and automated workflows that multiply the impact of the marketing function. You spend time with ...

Sonar

Marketing AI Engineer

Austin, TX · On-site

Position description As Sonar's Marketing AI Engineer, you design, build, and maintain the AI agents and automated workflows that multiply the impact of the marketing function. You spend time with ...

SPARETECH

Senior Marketing AI Manager

Chicago, IL · On-site

Marketing AI operating model: Define how AI is used across the marketing organization, including approved tools, role-based use cases, prompt and evaluation standards, human-review rules, and ...

Hillpointe

Marketing AI Architect

Winter Park, FL

Marketing AI Architect Hillpointe is hiring a founding Marketing AI Architect to build the next generation of AI-native tools powering our Marketing, Creative, and Centralized Operations teams. This ...

Hillpointe

Marketing AI Architect

Winter Park, FL · On-site

Marketing AI Architect Hillpointe is hiring a founding Marketing AI Architect to build the next generation of AI-native tools powering our Marketing, Creative, and Centralized Operations teams. This ...

Hillpointe

Marketing AI Architect

Winter Park, FL · On-site

Marketing AI Architect Hillpointe is hiring a founding Marketing AI Architect to build the next generation of AI-native tools powering our Marketing, Creative, and Centralized Operations teams. This ...

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How much do marketing ai jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for marketing ai in the United States is $32.69, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $43.27 per hour, depending on experience, location, and employer.

Is marketing a good career with AI?

A career in marketing that involves AI offers opportunities in data analysis, automation, and personalized campaigns, making it a growing field. Skills in AI tools, data analytics, and digital marketing platforms are increasingly valuable for marketing professionals. Continuous learning and adapting to new technologies are important for success in this area.

What is Marketing AI?

Marketing AI refers to the use of artificial intelligence technologies to automate, enhance, and optimize marketing tasks and strategies. It includes applications like customer segmentation, predictive analytics, personalized content creation, chatbots, and campaign optimization. By leveraging AI, marketers can gain deeper insights into customer behavior, improve targeting, and increase the return on investment for their campaigns. This technology helps businesses stay competitive by making data-driven decisions faster and more efficiently.

What are some common challenges faced by professionals in Marketing AI roles and how can they be addressed?

Professionals in Marketing AI often encounter challenges such as integrating AI tools with existing marketing platforms, ensuring data quality for accurate analysis, and keeping up with rapid advancements in AI technologies. Addressing these challenges requires ongoing collaboration with IT teams, regular data audits, and continuous learning to stay updated on AI trends. Additionally, clear communication with stakeholders about AI capabilities and limitations can help set realistic expectations and foster successful adoption within marketing teams.

What does a marketing AI do?

A marketing AI develops and implements algorithms and models to analyze customer data, automate marketing tasks, and optimize campaigns. It uses tools like machine learning and data analytics to improve targeting, personalization, and overall marketing performance.

What is the difference between Marketing Ai vs Digital Marketing Specialist?

AspectMarketing AiDigital Marketing Specialist
Required CredentialsKnowledge of AI tools, data analysis, basic marketing principlesBachelor's degree in marketing, communications, or related field
Work EnvironmentTech-driven, data-focused, often collaborative with data scientistsCreative, strategic, often client-facing or campaign-focused
Employer & Industry UsageTech companies, marketing agencies, e-commerceBrands, agencies, small to large businesses
Search & Comparison IntentUnderstanding AI's role in marketing, automation toolsCampaign strategies, content creation, analytics

Marketing Ai involves leveraging artificial intelligence tools to automate and optimize marketing tasks, focusing on data analysis and machine learning. Digital Marketing Specialists develop and execute marketing campaigns across digital channels, emphasizing creativity and strategic planning. While both roles require marketing knowledge, Marketing Ai professionals focus more on technology integration, whereas Digital Marketing Specialists concentrate on campaign execution and content.

What are the key skills and qualifications needed to thrive as a Marketing AI specialist?

To thrive as a Marketing AI Specialist, you need a strong background in digital marketing, data analysis, and a solid understanding of artificial intelligence concepts, often supported by a degree in marketing, computer science, or a related field. Familiarity with tools such as Google Analytics, machine learning platforms (like TensorFlow or PyTorch), and marketing automation software is typically required. Creative problem-solving, adaptability, and strong collaboration skills help professionals excel in developing and implementing AI-driven marketing strategies. These skills ensure effective integration of AI technologies into marketing efforts, driving innovation and measurable results.
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Marketing Ai jobs near you
Infographic showing various Marketing Ai job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $67,990 per year, or $32.7 per hour.

Director, Marketing AI Transformation

Extreme Networks

Carolina, RI • Remote

Full-time

Posted yesterday

New

Job description

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.

Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.

Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.

Job Title: Director, Marketing AI Transformation

Department: Marketing
Reports to: Chief Marketing Officer (CMO)
Location: Remote

Role Summary:

The Director, Marketing AI Transformation will serve as the driving force behind the adoption and scaling of AI technologies across the marketing organization. This individual will serve as a bridge between senior leadership, marketing teams, and cross-functional stakeholders, ensuring AI tools and strategies align with the company's broader business objectives. By identifying high-impact use cases, fostering a culture of AI literacy, and championing responsible AI practices, this leader will position the company to achieve operational excellence and innovation in marketing.

In addition to leading adoption efforts, this role will establish and chair a cross-functional Marketing AI Council. The Council will act as a guiding coalition, bringing together key stakeholders from all functions of marketing, as well as representatives from IT and legal to ensure the responsible, strategic, and cohesive implementation of AI within marketing. 

Key Responsibilities:

  1. Strategic Use Case Development:
    • Collaborate with CMOs, VPs, and team leads to identify and prioritize AI-driven marketing use cases that deliver measurable business value.
    • Pilot initiatives that demonstrate the potential of generative AI in improving efficiency, personalization, and ROI across marketing campaigns.
  2. AI Council Leadership:
    • Establish and lead a Marketing AI Council composed of cross-functional leaders and contributors to guide the marketing team’s AI strategy.
    • Ensure the Council operates as a hub for ideation, oversight, and alignment on AI adoption efforts, shared learning, facilitating discussions, and documenting outcomes.
    • Develop AI governance frameworks and usage guidelines in collaboration with the Council to address ethical, operational, and security considerations as it relates to marketing usage. 
    • Represent marketing’s best interest on the corporate IT-led AI Council and share best practices and learnings across the organization
  3. AI Literacy and Enablement:
    • Lead the development of AI literacy programs, including training for marketers at all levels on tools, ethical considerations, and best practices.
    • Work with the Council to establish and communicate AI usage guidelines across the organization.
  4. Change Management:
    • Drive cultural and behavioral change by inspiring teams to embrace AI as a tool for creativity and efficiency.
    • Create a robust communication plan to share wins, lessons learned, and insights from pilot projects.
  5. Leadership and Influence:
    • Act as an influencer and thought leader, working with cross-functional teams and stakeholders to build buy-in for AI adoption.
    • Foster relationships with key executives and managers to overcome resistance and address concerns.
  6. Performance Measurement and Reporting:
    • Develop and track KPIs to measure the impact of AI tools on marketing performance, such as cost savings, time-to-market, and content quality.
    • Regularly present updates and insights to the CMO and other senior leaders.

Qualifications:

  • Experience:
    • 10+ years in marketing, with experience across multiple functions such as content creation, demand generation, analytics, and brand strategy.
    • At least 5 years in a management or leadership role with a focus on change management and cross-functional collaboration.
  • Technical Skills:
    • Familiarity with AI tools like generative AI platforms, marketing automation systems, and data analytics tools.
    • Understanding of the AI adoption curve and best practices for scaling AI in large organizations
  • Leadership Skills:
    • Proven ability to lead initiatives without direct authority by influencing across organizational levels and functions.
    • Experience in founding or leading councils, task forces, or similar collaborative bodies to drive strategic initiatives.
  • Educational Background:
    • Bachelor’s degree in marketing, business administration, or a related field (MBA or advanced degree preferred).

Alternate Titles:

  • Marketing AI & Innovation Leader
  • Marketing Operations & AI Strategy Director
  • Director, Marketing AI Transformation
  • Head of Marketing AI Integration  
  • AI-Driven Marketing Strategy Lead

Ideal Candidate Attributes:

  • Deep Curiosity and Enthusiasm for AI:
    The ideal candidate has a forward-thinking mindset and passion for exploring how AI can transform marketing’s impact on the business. They stay ahead of industry trends, proactively seek opportunities to apply AI in impactful ways, and inspire their teams to embrace innovation with confidence.
  • Exceptional Communication Skills:
    With the ability to articulate complex AI concepts in simple, compelling terms, this leader can effectively engage diverse audiences, from technical teams to senior executives. They excel in presenting ideas, facilitating discussions, and securing alignment across stakeholders to ensure a shared vision for AI adoption.
  • Strong Organizational Skills:
    Managing multiple pilot programs, strategic initiatives, and cross-functional collaborations requires exceptional organizational capabilities. This individual is adept at prioritizing tasks, allocating resources, and ensuring projects are delivered on time and within scope, even in a dynamic and fast-paced environment.
  • Proven Leadership and Influence:
    The candidate leads by example, fostering trust and collaboration across teams and levels of the organization. They thrive in environments where they must influence without direct authority, rallying support for AI initiatives through persuasive storytelling, data-backed insights, and consistent engagement.
  • Strategic and Results-Oriented:
    Balancing a strategic mindset with a focus on execution, this leader excels at identifying high-impact use cases that align with business objectives. They are committed to delivering measurable outcomes, whether through cost savings, time efficiencies, or improved campaign performance.
  • High Adaptability and Resilience:
    This individual demonstrates flexibility and resilience. They can navigate ambiguity, pivot when necessary, and stay motivated in the face of challenges, continuously driving the organization toward its transformation goals.
  • Commitment to Ethical AI Practices:
    A champion of responsible AI, the candidate ensures that AI adoption aligns with ethical guidelines, safeguarding brand reputation and promoting trust. They actively address concerns related to privacy, security, and fairness, fostering an environment of accountability and transparency.
  • Collaborative Team Builder:
    The ideal leader is skilled at assembling and nurturing cross-functional teams, such as a Marketing AI Council. They recognize and amplify diverse perspectives, creating a culture where experimentation, innovation, and knowledge-sharing thrive.
Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.

We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.