MarTech jobs in California

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

Requirements

• 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

• 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