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Marketing Ai Jobs (NOW HIRING)

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 ...

New

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 ...

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 ...

New

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 ...

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 ...

New

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 ...

You will be the central point of expertise for how marketing teams integrate AI into their daily work, partnering with our GTM Engineering team (which builds the tools and workflows) and marketing ...

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How much do marketing ai jobs pay per hour?

As of Jul 29, 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.

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 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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like Chief AI Officer. These roles often require advanced skills in data science, programming, and experience with AI tools and frameworks, and they may involve leadership responsibilities or specialized expertise. Compensation at this level reflects significant experience, impact, and often includes bonuses or stock options.

How much does an AI marketer make?

An AI marketer's salary typically ranges from $60,000 to $120,000 annually, depending on experience, location, and company size. Professionals with skills in data analysis, machine learning, and marketing automation tend to earn higher salaries, especially in tech hubs or large organizations.

Can AI do a marketing job?

AI can assist with marketing tasks such as data analysis, customer segmentation, content creation, and campaign optimization. However, human oversight is essential for strategic planning, creative development, and understanding complex consumer behaviors. Marketing AI tools are used to enhance efficiency but do not fully replace the need for human expertise in the field.

What does an AI marketer do?

An AI marketer uses artificial intelligence tools and data analysis to develop and optimize marketing strategies, personalize customer experiences, and automate campaigns. They often work with machine learning algorithms, marketing automation platforms, and analytics software to improve targeting and ROI.

What are the key skills and qualifications needed to thrive as a Marketing AI Specialist, and why are they important?

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.
More about Marketing Ai jobs
What cities are hiring for Marketing Ai jobs? Cities with the most Marketing Ai job openings:
What states have the most Marketing Ai jobs? States with the most job openings for Marketing Ai jobs include:
Infographic showing various Marketing Ai job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $67,990 per year, or $32.7 per hour.

Marketing AI Engineer

Sonar

Austin, TX

Full-time

Posted 2 days ago

New


Job description

Who is Sonar?

Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable.

Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code.

We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like:

  • SonarQube: The world’s leading AI code review and verification platform.

  • SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair.

  • SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective.

Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE:

  • Committed to our customers and community.

  • Obsessed with quality.

  • Deliberate in our decisions.

  • Effective as one team.

With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you’re hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you.

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 marketing stakeholders to understand their work in depth, identify where automation creates real leverage, and then build and iterate until it works well. You produce clear reporting on efficiency and impact, keeping marketing leadership informed on what the automations are actually delivering.

The best person for this role might be a marketing ops veteran who has taught themselves to build with AI, or an automation engineer who has gone deep on how marketing actually works. Either way, what matters is the combination: you understand marketing processes from the inside, and you can build reliable automations that make those processes faster, smarter, and more scalable.

What you will do
  • Map and prioritize automation opportunities: Work closely with marketing teams to develop a deep understanding of their day-to-day processes — identifying where AI agents and automated workflows can eliminate manual work, reduce errors, or unlock capabilities that weren’t previously possible.

  • Design and build AI agents: Develop AI agents and automated workflows that streamline marketing processes — from content production and campaign operations to reporting, lead routing, and personalization at scale.

  • Deploy and maintain automations: Own the full lifecycle of deployed agents — from initial release through ongoing monitoring, debugging, and iteration — ensuring reliability and performance as usage grows.

  • Produce efficiency and impact reporting: Track and report on workflow automation metrics — time saved, error rates, throughput, and business impact — delivering regular dashboards and summaries to marketing leadership.

  • Stay current on AI tooling: Continuously evaluate new AI models, agent frameworks, and automation platforms — bringing a clear point of view on what Sonar marketing should adopt, experiment with, or build on next.

  • Partner with Marketing Tooling & AI Operations: Collaborate closely with the Marketing Tooling & AI Operations Manager to understand the existing tool stack, ensure automations integrate reliably with it, and drive adoption of new AI-powered capabilities.

  • Ensure data quality and governance: Design automations that handle marketing data responsibly — with attention to data quality, privacy, and auditability across all deployed workflows.

  • Document and enable: Produce clear documentation for all deployed agents and workflows, and run internal enablement sessions to help the marketing team understand and effectively use what you have built.

Experience and qualifications
  • Have 3+ years of experience in marketing operations, automation engineering, or a closely related role — with a track record of building workflows or automations that measurably improved team efficiency.

  • Have deep, hands-on knowledge of marketing processes and tools — including CRM (Salesforce), marketing automation, campaign ops, analytics, and content workflows. A marketing ops practitioner who has grown into building automations is a strong fit.

  • Be experienced with no-code/low-code automation platforms (e.g., Make, Zapier, n8n) and comfortable extending them with scripting when needed (Python and/or JavaScript).

  • Have working familiarity with AI agent frameworks (e.g., LangChain, Claude Agent SDK, OpenAI Assistants) or a demonstrated ability and appetite to ramp quickly.

  • Be experienced integrating with third-party APIs and working with marketing data structures (e.g., Salesforce, HubSpot, GA, Marketo).

  • Have strong analytical skills and experience building performance dashboards and reporting for deployed automations.

  • Be a clear communicator who can explain what an automation does — and why it matters — to non-technical stakeholders, and translate their requirements into precise technical specifications.

  • Bring intellectual curiosity and a bias to build — you stay current on the fast-moving AI landscape and bring that knowledge into your everyday work.

  • Hold a Bachelor’s degree in Marketing, Business, Computer Science, or a related field.

In-office culture

We’re intentional about this. We believe the best teams are built in the room together. Three anchor days — Mondays, Tuesdays, and Thursdays — create the collaboration rhythm that makes a hub office worth having.

Candidates need to be genuinely based in the location the role is posted — if that’s not where you are today, we’re happy to support relocation for the right person.

We value diversity, equity, and inclusion

At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

If you need any accommodation, please reach out to us at hiring@sonarsource.com.

All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date.

Applications that are submitted through agencies or third party recruiters will not be considered.

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.