Marketing Technology Manager

SupportFinity™; New York (NY); On-site; USD 124,000 - 178,000; Full time

Benefits offered by this job

Bonus

Equity

Comprehensive benefits

Job summary

SupportFinity™ is seeking a Marketing Technology Manager to develop foundational infrastructure for AI-driven marketing. This pivotal role will design AI evaluation frameworks, integrate LLMs into workflows, and ensure high platform reliability.

The ideal candidate has over 5 years of marketing technology experience, alongside strategic data handling and cross-functional collaboration skills. The compensation ranges from $124,000 to $178,000 annually, complemented by bonuses and benefits.

Qualifications

• 5+ years of experience in marketing technology or related field.
• Experience developing data strategies for AI marketing.
• Able to present technical concepts to diverse audiences.

Responsibilities

• Design AI evaluation frameworks for marketing workflows.
• Integrate LLMs into existing marketing technology.
• Support organization’s transition to agentic marketing.

Skills

Marketing technology experience

Data strategy execution

AI-powered automation

Cross-functional relationship management

Analytical decision-making

Education

Bachelor's degree in Marketing, Business, or related field

Tools

Salesforce Data Cloud

Salesforce Marketing Cloud

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 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

Compensation and Benefits

$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.

Equal Employment Opportunity Statement

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 [e-mail].