Martech AI Product Manager

Information Security Responsibilities

• Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
• Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
• Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
• Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

Key Responsibilities

• Define the Product Vision and Strategy
• Own the end-to-end product vision, strategy, and roadmap for AI-enabled content generation and personalization capabilities.
• Prioritize initiatives based on business value, customer impact, and technical feasibility.
• Lead Product Development and Delivery
• Translate business needs into clear product requirements, user stories, and measurable success metrics.
• Partner with data science, engineering, and marketing teams to deliver MVPs that evolve into scalable enterprise solutions.
• Manage the product lifecycle from ideation through experimentation, pilot, and scaled adoption.
• AI and MarTech Enablement
• Understand how AI capabilities (LLMs, personalization models, content automation) enhance marketing effectiveness.
• Collaborate with MarTech, Marketers, and marketing operations teams to ensure AI products integrate smoothly within existing workflows and data environments.
• Evaluate new tools and frameworks that can extend the value of AI across marketing use cases (e.g., creative optimization, dynamic personalization, campaign insights).
• Cross-Functional Partnership
• Serve as a bridge between technical teams, experience designers, and business stakeholders, ensuring shared understanding of goals and outcomes.
• Facilitate prioritization, feedback loops, and clear communication across teams to drive adoption and measurable results.
• Iterate, Scale, and Measure Impact
• Launch pilot programs, collect user feedback, and refine product features based on performance data.
• Define and track KPIs that demonstrate ROI and value creation from AI capabilities.
• Champion Innovation and Future Readiness
• Stay current on AI advancements, emerging MarTech trends, and evolving customer engagement strategies.
• Advocate for scalable, ethical, and future-ready solutions that support personalized marketing at enterprise scale.

Preferred Skills & Expertise

• Proven experience in Product Management, ideally within AI, data, or marketing technology domains.
• Strong understanding of AI technologies (LLMs, NLP, RAG models, content personalization frameworks).
• Familiarity with MarTech platforms (e.g., Adobe, Salesforce, CDP/CRM tools) and how they support marketing activation.
• Ability to translate AI capabilities into intuitive business-facing features and use cases.
• Experience defining and executing product roadmaps, managing backlogs, and using agile methodologies.
• Strong analytical and communication skills, with the ability to influence cross-functional teams.
• Experience in Telecom, Enterprise B2B, or Marketing Technology is a plus.