Lead Product Marketing Manager, AI Ecosystem

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. Every major AI platform—from OpenAI and Anthropic to Microsoft Copilot and AWS Bedrock—needs reliable data connectivity to deliver enterprise value. This is an opportunity to build the partnerships that position CData as the critical data layer powering the AI ecosystem.We're looking for a Lead Product Marketing Manager, AI Ecosystems to drive our AI partnership marketing initiatives. You'll cultivate relationships with AI technology partners, develop co-marketing programs, and position CData as the connectivity layer that makes AI actually work with enterprise data. This role works at the intersection of emerging AI technologies and data integration, creating go-to-market strategies that demonstrate why CData is essential infrastructure for production AI deployments.Why you should be interested:The AI ecosystem is being built right now. You'll establish CData's partnerships with the platforms that will define enterprise AI for the next decade—with the resources of a scaled, profitable business behind you.71% of AI teams spend more than a quarter of implementation time on data integration. Every AI platform provider is looking for connectivity solutions. The demand is real, and partners are actively seeking what CData offers.Our partners are sophisticated—they evaluate integrations technically, test platforms hands-on, and respect substance over spin. If you're tired of partnership marketing built on logo swaps, this is different.Cross-functional impact: You'll work directly with Product on integration roadmap, with Sales on partner-sourced pipeline, and with executive leadership on ecosystem strategy.What you'll doCo-Marketing Strategy & ExecutionDevelop joint value propositions, messaging frameworks, and positioning that articulate how CData enables AI applications to access enterprise data sourcesServe as the primary marketing point of contact for partner initiatives, owning the narrative and go-to-market positioning for each strategic partnershipDesign and execute co-marketing campaigns with AI partners, including joint webinars, content collaborations, and event participationDevelop partner-specific marketing plans with clear goals, timelines, and success metricsCoordinate cross-functional teams to deliver integrated marketing programsCreate compelling messaging and positioning for AI use cases that leverage CData connectivity solutionsContent & Thought LeadershipPartner with the Technology Evangelism team to develop technical marketing content that demonstrates CData's value in AI architectures (whitepapers, solution briefs, blog posts, use cases)Create enablement materials for partners including co-branded collateral, demo scripts, and technical guidesRepresent CData at AI-focused industry events, conferences, and partner summitsBuild thought leadership around data connectivity for AI applications through speaking engagements and content creationCross-Functional CollaborationPartner with Product Management to ensure AI-related features align with ecosystem needs and partner feedbackCollaborate with Developer Relations to create technical resources for AI developersCoordinate with Demand Generation to integrate partner campaigns into broader marketing initiativesProvide market intelligence to leadership on AI ecosystem trends and partnership opportunitiesQualificationsMust Haves:5+ years of experience in B2B technology marketing, partner marketing, or ecosystem marketingProven experience in partner identification, prospecting, and relationship building within technology ecosystemsStrong research and analytical skills with ability to map complex partner landscapesDemonstrated success in outreach campaigns and establishing new partnerships from the ground upStrong understanding of AI/ML technologies, LLMs, and how data connectivity enables AI applicationsExperience developing and executing co-marketing programs with technology partnersExcellent communication and presentation skills with ability to engage technical and business audiencesExperience creating technical marketing content for developer and IT decision-maker audiencesSelf-starter with strong project management skills and ability to drive initiatives independentlyComfortable operating autonomously in a fast-paced, high-growth environmentNice to Haves:Experience mapping and analyzing technology ecosystems and competitive landscapesProven track record of cold outreach and building relationships with executive stakeholdersExperience in data integration, APIs, or connectivity solutionsTechnical background or experience working closely with engineering teamsExisting relationships within the AI ecosystem (OpenAI, Anthropic, Google AI, Microsoft, AWS, etc.)Experience with developer marketing or DevRel programsUnderstanding of enterprise software buying processes and IT infrastructureTravel Required: Occasional travel for partner meetings, industry events, and team collaboration (estimated 10–15%)