This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Aquent is partnering with a leading organization dedicated to transforming education and empowering individuals globally. This forward-thinking company is at the forefront of leveraging technology to enhance learning experiences and operational efficiency. They are seeking an innovative and driven professional to join their team and significantly impact their marketing technology ecosystem by pioneering the use of AI agents. This is an extraordinary opportunity to be at the heart of innovation, where your expertise will directly shape how marketing operations are automated, optimized, and scaled. You will be instrumental in designing and orchestrating advanced AI agents, fundamentally changing how this organization connects with its audiences and drives engagement. Your contributions will not only streamline processes but also unlock new possibilities for personalized and impactful marketing strategies.
Job Responsibility:
Design, deploy, and continuously refine AI-driven decisioning agents to power segmentation, activation, and experimentation initiatives
Act as a subject matter expert, developing comprehensive documentation, runbooks, and playbooks for AI Agent configuration
Integrate, deploy, and monitor AI agents across critical platforms such as CRM, marketing automation, customer data platforms, content management systems, web analytics, and collaboration tools to automate and enhance marketing workflows
Build and maintain robust integrations using APIs, webhooks, and connectors for various platforms including Salesforce, Eloqua, Marketo, HubSpot, Braze, Hightouch, Segment, mParticle, BigMarker, and Workato, alongside analytics solutions and cloud data warehouses
Proactively troubleshoot data quality and integration challenges impacting agent performance, collaborating with teams to resolve issues related to data sources, transformations, and identity/consent logic
Define rigorous acceptance criteria and test cases, validating agent behavior against business, compliance, and marketing requirements pre- and post-production
Develop clear procedures, policies, and standard operating procedures for the entire lifecycle of agent building, approval, deployment, and monitoring
Champion best practices, lead enablement sessions, and provide essential tier 2/3 support for agent-related incidents and inquiries
Integrate various AI tools to foster coordinated reasoning, shared context, and collaborative workflows across the entire marketing technology stack
Requirements:
Bachelor’s Degree in computer science, information systems, data science, marketing analytics, or a related field
Demonstrated hands-on experience integrating marketing technology platforms and data sources using APIs, webhooks, and SQL
Proven experience with CRM & marketing automation platforms (e.g., Salesforce, Eloqua, Marketo, HubSpot, Braze), Customer Data Platforms & identity solutions (e.g., Hightouch, Segment, mParticle), and journey orchestration
Experience with AI agent frameworks and orchestration concepts, including tool/function calling, agent workflows, and coordination patterns
Experience with cloud data platforms and warehouses (e.g., GCP, AWS, Azure
BigQuery, Snowflake, Redshift) and analytics stacks
Solid understanding of relational data modeling and SQL
Ability to translate complex marketing objectives into actionable agent workflows and audience strategies
Proficiency with productivity tools and collaboration workflows
Knowledge of identity resolution, consent management, and data governance principles
Strong skill in troubleshooting integrations and agent behaviors, performing root cause analysis, and implementing corrective actions
Adaptability in a fast-paced environment, coupled with strong organizational skills, excellent written/verbal communication, and stakeholder management abilities
Nice to have:
Exposure to search, vector, or metadata/feature stores
Familiarity with observability and monitoring for AI systems, including the ability to analyze logs and traces