Lead Product Marketing Manager, Connect AI

CData Software is a company that provides data connectivity solutions for AI and analytics workloads. They are seeking a Lead Product Marketing Manager to own the product marketing strategy for their Connect AI platform, focusing on market development, competitive positioning, and creating impactful content for technical buyers.

Responsibilities:

• Own Connect AI positioning across use cases like conversational AI (ChatGPT, Claude, Copilot) and agentic build (n8n, Copilot Studio)
• Overhaul and uplift CData’s brand presence (collateral, sales enablement tools, website) with exciting new AI-oriented visual identity and brand voice created by a top-tier design agency (in process, Q’1-2 timing)
• Define competitive strategy with differentiation that can withstand technical scrutiny from hands-on evaluators
• Lead market development for the managed MCP category, establishing CData as the thought leader in AI data infrastructure
• Partner cross-functionally to define and execute quarterly and annual GTM strategies, owning overall growth performance for Connect AI
• Create technical content that passes the 'hands-on validator' test—architecture guides, security reference docs, and deployment playbooks that Directors of Architecture actually use during evaluation
• Develop clear value narratives for the three pillars of our overall messaging framework: Connectivity (live access to 350+ sources), Context (semantic intelligence), and Control (passthrough security with audit trails)
• Serve as the subject-matter expert for Connect AI, enabling Sales, Customer Success, and Marketing teams with use case articulation and competitive positioning
• Lead customer, market, and buyer research to uncover insights that inform positioning, messaging, and differentiation
• Translate customer feedback and competitive insights into roadmap recommendations—particularly around MCP adoption, semantic modeling, and governance features
• Partner with Product on launch strategy for new capabilities, AI platform integrations, and enterprise capabilities
• Plan, organize, and execute complex marketing initiatives end-to-end, including multi-product launches and major GTM programs
• Stay up-to-date on the latest market developments around AI and Agent platforms to inform our strategy
• Conduct first-party research with trialers, prospects, and customers to form a perspective on our go-to-market and validate our messaging
• Monitor competitive activity and proactively develop strategies to counter threats and capitalize on market opportunities
• Track and analyze key business performance metrics to assess GTM effectiveness, market adoption, and growth trends
• Adopt AI tools and processes to optimize your own productivity (with a budget to support it) and help lead projects to rollout AI to the Marketing team
• Provide guidance, review, and informal mentorship to other Product Marketing Managers to elevate overall team effectiveness

Requirements:

• 7+ years of product marketing experience in data infrastructure, integration platforms, or developer tools—bonus points for iPaaS, ETL/ELT, or API platform experience
• Track record of marketing to technical buyers (architects, platform engineers, IT leadership)
• Demonstrated ability to create content that establishes technical credibility—not just feature lists, but architecture guides, security whitepapers, and implementation playbooks
• Familiarity with the AI/ML infrastructure landscape: LLMs, RAG architectures, agentic AI, MCP
• Experience with complex, multi-persona buying processes involving technical evaluators, security teams, and executive sponsors
• Strong competitive positioning skills with an emphasis on factual accuracy over marketing hyperbole
• Excellent written, verbal, and presentation communication skills
• Comfortable operating autonomously in a fast-paced, high-growth environment
• Highly organized with strong attention to detail and ability to manage complex initiatives
• Experience marketing to enterprise IT (1,000–10,000+ employees) with complex system landscapes (ERP, CRM, financial systems)
• Background in or exposure to data integration technologies (Snowflake, Databricks, Azure, AWS data services)
• Experience with Product-led growth motions
• Cross-functional leadership skills with the ability to influence without direct authority