Responsibilities

• SET THE AI PRODUCT VISION AND ROADMAP — Define and articulate a clear vision and roadmap for AI in marketing — the use cases, decisioning, and orchestration capabilities that turn marketing into an intelligent, always-on engine.
• Champion the adoption and integration of AI across the marketing organization to create measurable business value.
• Prioritize the AI use-case pipeline with senior leadership — securing resources, setting priorities, and measuring performance against clear objectives.
• Serve as the subject-matter expert on applied AI for marketing — GenAI, agentic workflows, decisioning, and orchestration — and guide the exploration of novel approaches to complex challenges.
• DELIVER AI PRODUCTS FROM CONCEPT TO PRODUCTION — Lead the design, build, and deployment of AI products and tools — from proof-of-concept through production — meeting quality, scope, and timeline expectations.
• Oversee prompt engineering, AI tooling, and experience-intelligence capabilities that put AI directly into marketers' hands
• Operationalize AI decisioning and orchestration across the MarTech stack, partnering with data and platform teams so models and agents are production-ready and integrated.
• Embed responsible AI practices — transparency, fairness, and compliance with data-protection and enterprise standards (e.g., GDPR, CCPA).
• DRIVE MARTECH ENABLEMENT, ADOPTION, AND VALUE REALIZATION — Own operational support of the MarTech tools and platforms — keeping the stack running smoothly and marketers unblocked.
• Establish and share best practices, playbooks, and standards that raise the bar on how the organization uses its MarTech investments.

Requirements

• 10 + years of progressive experience in MarTech / marketing technology product management, AI-ML enablement, or digital marketing platforms, including team leadership.
• Proven track record putting AI or automation into production in a business setting — from use-case identification through deployment and adoption.
• Deep, hands-on knowledge of the modern MarTech stack (e.g., Adobe Experience Platform, Marketo, SFMC, CDP) and how to drive operational support, adoption, and value realization.
• Practical fluency with applied AI for marketing — GenAI, prompt engineering, agentic/automation frameworks, and AI-driven decisioning and orchestration.
• Experience operating in an agile / SAFe environment — partnering with RTEs and Scrum Masters and actively participating in PI planning and execution.
• Strong stakeholder management, executive communication, and storytelling skills — able to translate technical concepts into business value and ROI.
• Demonstrated ability to lead, mentor, and inspire technical and product teams within a matrixed organization.
• Bachelor's degree in a relevant field — computer science, data science, marketing, business, engineering, or related; an advanced degree is a plus.

Preferred

• Experience in financial services, insurance, or another regulated, data-sensitive industry.
• Familiarity with responsible AI practices and data-protection regulations (e.g., GDPR, CCPA).
• P roduct management credentials a plus.
• Experience managing vendors and optimizing API and tool integrations across a marketing technology ecosystem.

Benefits

• Market competitive base salaries, with a yearly bonus potential at every level.
• Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave.
• 401(k) plan with company match (up to 4%).
• Company-funded pension plan.
• Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs.
• Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.
• Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs.
• Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period).