Principal Product Lead – MarTech AI

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

Core Pillars of Responsibility

• 1. Product Evangelism & Market Leadership
• The Voice of AI: Act as the primary technical and strategic spokesperson for our AI suite. You will translate LLM complexities into a "value-first" narrative for C-suite stakeholders and enterprise clients. Customer Advocacy: Drive product-led growth (PLG) by deeply understanding the "jobs to be done" for modern marketers and turning those insights into compelling market stories. Thought Leadership: Represent the product in industry forums and executive briefings, positioning our AI capabilities (RAG, content automation, predictive modeling) as the gold standard in MarTech. 


• 2. Strategic Roadmap & Visionary Ownership
• The North Star: Own the multi-year product vision. You aren't just shipping features; you are building a proprietary AI ecosystem that redefines content generation and personalization. High-Stakes Prioritization: Balance aggressive innovation with technical feasibility, ensuring the roadmap focuses on high-growth levers that drive ROI and enterprise retention. Governance & Ethics: Lead the charge on ethical AI, ensuring our roadmap adheres to global data privacy (GDPR, CCPA) while maintaining a competitive edge. 


• 3. Product Growth & Lifecycle Velocity
• Growth Mechanics: Identify untapped opportunities within the MarTech stack (CDP, CRM, Creative Ops) to expand the product’s footprint and increase "stickiness" within enterprise workflows. Agile Experimentation: Lead a culture of "fail fast, scale faster." Use pilots and MVPs to validate AI models, then rapidly operationalize them for global scale. Commercial Impact: Define and own the KPIs that matter: Product-Qualified Leads (PQLs), adoption velocity, and AI-attributed revenue growth.

Key Qualifications

• The AI Expert: You have a deep, intuitive understanding of LLMs, RAG, and NLP frameworks. You don't just know what they are; you know how to monetize them. 
• The MarTech Veteran (nice to have): You’ve spent years navigating the Adobe/Salesforce/CDP ecosystems and know exactly where AI can disrupt traditional marketing silos. 
• The Strategic Communicator: You possess the rare ability to command a room of engineers in the morning and a room of CMOs in the afternoon. The Growth Mindset: You have a proven track record of taking products from "experimental pilot" to "enterprise-wide adoption.