Jobs · Marketing · California

AI Marketing Technologist Lead

Plaid · San Francisco Bay Area · 3 wk ago
HybridMarketing$170k–$223k/yrFull-time

Responsibilities

  • Own the strategy and execution for integrating AI into marketing workflows, identifying high-impact opportunities to improve efficiency, scalability, and performance.
  • Design, build, and deploy AI-powered agents and automations that support marketing workflows.
  • Evaluate emerging AI tools and technologies, staying current on industry trends and translating new capabilities into practical marketing applications.
  • Partner cross-functionally across Marketing, BI, GTM Ops, and Web Engineering teams to implement and scale AI-enabled workflows and drive adoption.
  • Lead change management efforts by training teams, evolving workflows, and helping employees transition from manual execution to managing AI-assisted systems.
  • Partner with stakeholders on optimizing the marketing technology ecosystem, including AI tooling, APIs, data flows, Salesforce integrations, BI tooling, and marketing automation infrastructure.
  • Operates with a strong builder mentality, driving 0-to-1 development of scalable, secure, and automated marketing systems that improve operational velocity and reduce manual work.

Requirements

  • Bachelor’s degree in Marketing, Business, Information Systems, Computer Science, or a related field (or equivalent practical experience).
  • Hands-on experience designing and deploying AI-powered workflows, agentic systems, or marketing AI agents that improve operational efficiency and scalability.
  • Demonstrated success driving transformational change within an organization, including influencing teams to adopt new technologies, workflows, or operating models.
  • Strong experience working with LLMs, prompt engineering, AI automation platforms, and emerging AI technologies.
  • Deep understanding of marketing operations and experience with marketing automation platforms, including campaign creation, workflow management, testing, and optimization.
  • Proficiency with SQL, Tableau, and other BI/data visualization tools, with the ability to analyze large datasets and translate insights into actionable recommendations.
  • Strong analytical and systems-thinking mindset, with the ability to identify inefficiencies, solve complex operational problems, and design scalable solutions.
  • Excellent cross-functional communication and stakeholder management skills, with the ability to influence and collaborate across Marketing, Operations, BI, and Engineering teams.
  • Highly organized and execution-oriented, with strong attention to detail and the ability to manage multiple initiatives simultaneously in fast-paced environments.
  • Comfortable operating in ambiguity and rapid change, with a proactive, builder-oriented mindset and a strong drive for continuous improvement.

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