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Marketing Technology Engineer Jobs (NOW HIRING)

The Business Marketing Technology team builds and scales the platforms and data infrastructure that ... Partner with engineering teams to design and build data foundations required to power agentic ...

Partner closely with Growth Marketing, Product, Engineering, Data Science, and Analytics teams to translate business needs into scalable technical solutions. * Evaluate new marketing technologies ...

The Business Marketing Technology team builds and scales the platforms and data infrastructure that ... Partner with engineering teams to design and build data foundations required to power agentic ...

In the position of Marketing Technology Lead, you will provide centralized ownership of Adobe ... Direct the work of the Fusion Developer, reviewing scenario design and providing technical guidance ...

Marketing Technology Specialist

Midvale, UT · On-site +1

$75K - $80K/yr

... engineering software and 3D printing technology to make the design process innovative, efficient ... Our marketing team builds the content, creative, and digital experiences that bring this mission to ...

Marketing Technology Lead

Corona, CA · On-site

$97K - $130K/yr

In the position of Marketing Technology Lead, you will provide centralized ownership of Adobe ... Direct the work of the Fusion Developer, reviewing scenario design and providing technical guidance ...

... engineering teams to operationalize them within the CDP • Enable real-time and batch data ... a significant focus on marketing technology, customer data platforms, or digital data ...

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Marketing Technology Engineer information

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How much do marketing technology engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for marketing technology engineer in the United States is $60,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $62,500.00 per year, depending on experience, location, and employer.

What is the difference between Marketing Technology Engineer vs Digital Marketing Specialist?

AspectMarketing Technology EngineerDigital Marketing Specialist
CredentialsBachelor's in Marketing, Computer Science, or related field; certifications in marketing automation or analyticsBachelor's in Marketing, Communications, or related field; certifications in digital advertising or analytics
Work EnvironmentTechnical teams, marketing departments, often involved in system integrations and automationMarketing teams, content creation, campaign management, social media
Employer & Industry UsageTech-driven marketing firms, e-commerce, agenciesRetail, consumer brands, agencies, any business with digital campaigns

The Marketing Technology Engineer focuses on implementing and maintaining marketing systems and automation tools, requiring technical skills. In contrast, the Digital Marketing Specialist concentrates on executing marketing campaigns and content strategies. Both roles are essential in digital marketing but serve different functions within organizations.

What do marketing technology engineers do?

Marketing technology engineers design, implement, and maintain digital marketing tools and systems, such as customer relationship management (CRM) platforms, marketing automation software, and data analytics tools. They often work with programming languages, APIs, and cloud services to optimize marketing campaigns and improve data integration across platforms.

What are popular job titles related to Marketing Technology Engineer jobs?

For Marketing Technology Engineer jobs, the most frequently searched job titles are:

Infographic showing various Marketing Technology Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 16% Part Time, and 2% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $60,000 per year, or $28.8 per hour.

Marketing Technology Manager, AI

New York, NY • Remote

Meta
Internet and IT • 10K+ employees

$124K/yr

Full-time

Posted 13 days ago


Key responsibilities

  • Design and implement AI evaluation frameworks to ensure AI agents and LLM-driven outputs meet quality standards

  • Drive the integration of LLMs and AI agents into marketing technology workflows by collaborating with engineering and data science teams

  • Partner with engineering teams to design and build data foundations such as data pipelines, knowledge bases, and datasets to support agentic marketing capabilities


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz


Job description

Meta empowers millions of businesses to connect with customers and drive real business outcomes. The Business Marketing Technology team builds and scales the platforms and data infrastructure that power marketing operations across Meta's business ecosystem, sitting at the intersection of marketing strategy, data platforms, and AI innovation. As business marketing shifts toward an AI-first, agent-led operating model, we are seeking a Marketing Technology Manager to help design and develop the foundational infrastructure that will power this next era. This role is central to the shift from manual marketing workflows to agentic marketing at scale, ensuring that the data layer, evaluation frameworks, and platform architecture are ready to support autonomous AI agents that can plan, execute, and optimize marketing campaigns. The ideal candidate brings expertise in marketing technology platforms, AI model evaluation, and data strategy, and is energized by the opportunity to lay the groundwork for a future where marketers and AI agents work side by side to drive business impact.
Marketing Technology Manager, AI Responsibilities:
  • Design and implement AI evaluation frameworks, including model performance benchmarking, prompt evaluation, and quality assurance processes to ensure AI agents and LLM-driven outputs meet production-quality standards
  • Drive the integration of LLMs and AI agents into marketing technology workflows, partnering with engineering and data science teams to move agentic capabilities from prototype to production-ready infrastructure
  • Partner with engineering teams to design and build data foundations required to power agentic marketing capabilities, including high-quality data pipelines, knowledge bases, and golden datasets that AI agents depend on for reliable execution
  • Ensure platform reliability, stability, and performance, creating a stable foundation on which agentic systems can operate at scale
  • Support change management efforts to support the organization's transformation to agentic marketing, engaging stakeholders across teams to build understanding, drive adoption, and ensure smooth transitions as AI agents take on greater operational responsibility
  • Partner cross-functionally with Marketing, Engineering, Data Science, Product, and Sales teams to scale platforms, integrate cross-org data sources, and build the shared infrastructure needed to enable a self-service, agent-led marketing future

Minimum Qualifications:
  • 5+ years of experience in marketing technology, marketing operations, or a related technical marketing discipline
  • Bachelor's degree in Marketing, Business, Information Systems, or a related field
  • Experience developing agentic workflows, AI-powered automation, or marketing AI agents in a production environment
  • Knowledge of LLMs, AI model evaluation, and building data foundations for AI-powered marketing tools or agentic capabilities
  • Experience developing and executing data strategies, including data governance, enrichment, sharing, and compliance frameworks
  • Experience managing marketing technology platforms and ensuring platform reliability, performance, and scalability
  • Analytical and data-driven decision-making experience, translating complex data and AI challenges into actionable strategies
  • Experience building cross-functional relationships and managing stakeholders across Marketing, Engineering, Product, and Sales teams
  • Communication experience and demonstrated experience presenting technical concepts to both technical and non-technical audiences

Preferred Qualifications:
  • Experience with Salesforce Data Cloud and/or Salesforce Marketing Cloud
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$124,000/year to $178,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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