Principal Technical Product Marketing Manager, Connect AI

About the roleCData is building the data layer between AI and ROI. Our Connect AI platform is the first managed MCP (Model Context Protocol) solution for enterprise AI—delivering live connectivity to 350+ data sources, source-level semantic intelligence, and passthrough security in a single governed layer.Only 6% of enterprises are satisfied with their current AI data infrastructure. This is an opportunity to define how enterprises connect AI to the data that makes it actually useful.We're looking for a Lead Product Marketing Manager who can translate deep technical capabilities into clear, differentiated value for Directors of Architecture, CIOs, and enterprise IT leaders who personally test every platform and low tolerance for marketing fluff.The Lead PMM will own end-to-end product marketing strategy for Connect AI, serving as a strategic partner to Product, Sales, and Marketing leadership. This role shapes GTM direction, defines competitive positioning, and leads the creation of content and enablement that helps technical buyers say yes across product-led and sales led motions.What you'll doGTM Strategy & Market DevelopmentOwn 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 evaluatorsLead market development for the managed MCP category, establishing CData as the thought leader in AI data infrastructurePartner cross-functionally to define and execute quarterly and annual GTM strategies, owning overall growth performance for Connect AIBuyer & Sales CollateralCreate technical content that passes the "hands-on validator" test—architecture guides, security reference docs, and deployment playbooks that Directors of Architecture actually use during evaluationDevelop 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 positioningLead customer, market, and buyer research to uncover insights that inform positioning, messaging, and differentiationProduct PartnershipTranslate customer feedback and competitive insights into roadmap recommendations—particularly around MCP adoption, semantic modeling, and governance featuresPartner with Product on launch strategy for new capabilities, AI platform integrations, and enterprise capabilitiesPlan, organize, and execute complex marketing initiatives end-to-end, including multi-product launches and major GTM programsResearch & Thought LeadershipStay up-to-date on the latest market developments around AI and Agent platforms to inform our strategyConduct first-party research with trialers, prospects, and customers to form a perspective on our go-to-market and validate our messagingMonitor competitive activity and proactively develop strategies to counter threats and capitalize on market opportunitiesMetrics & Team LeadershipTrack and analyze key business performance metrics to assess GTM effectiveness, market adoption, and growth trendsAdopt 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 teamProvide guidance, review, and informal mentorship to other Product Marketing Managers to elevate overall team effectivenessQualificationsRequired:7+ years of product marketing experience in data infrastructure, integration platforms, or developer tools—bonus points for iPaaS, ETL/ELT, or API platform experienceAbility to communicate effectively with technical audiences at all levels—from developers and architects to executive stakeholders.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 playbooksFamiliarity with the AI/ML infrastructure landscape: LLMs, RAG architectures, agentic AI, MCPExperience with complex, multi-persona buying processes involving technical evaluators, security teams, and executive sponsorsStrong competitive positioning skills with an emphasis on factual accuracy over marketing hyperboleExcellent written, verbal, and presentation communication skillsComfortable operating autonomously in a fast-paced, high-growth environmentHighly organized with strong attention to detail and ability to manage complex initiativesPreferred: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 motionsCross-functional leadership skills with the ability to influence without direct authorityWhy This Role Category-defining opportunity: Connect AI is the first managed MCP platform. You're pursuing startup-like growth with the resources of a scaled, profitable business.Market timing: 71% of AI teams spend more than a quarter of implementation time on data integration. The pain is real, the urgency is now, and enterprises are actively seeking solutions.Technical credibility matters: Our buyers are sophisticated—they read documentation before talking to sales, test platforms personally, and respect substance over spin. If you're tired of marketing to personas who don't exist, this is different.Cross-functional impact: You'll work directly with Product on roadmap, with Sales on technical enablement, and with executive leadership on GTM strategy. Occasional travel for customer meetings, industry events, and team collaboration (estimated 10–15%).