About CData Software, Inc.

CData is the data layer between AI and ROI—delivering the connectivity, context, and control that make enterprise AI more accurate. One platform for live access and data replication across 350+ sources, semantic intelligence that ensures context-aware responses, and built-in governance for every AI-to-data interaction. Powering AI and analytics workloads for Anthropic, Databricks, Microsoft, Google, Palantir, and more than 10,000 customers worldwide.

Behind that impact is a global team of passionate problem-solvers, engineers, and innovators who are redefining what’s possible in data connectivity.

Headquartered in Chapel Hill, North Carolina, CData has over 500 team members, with offices in North America, Europe, and Asia. We take pride not just in what we build, but in how we build it: together, with curiosity, creativity, and a shared drive to push boundaries.

About the role

CData 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 do

Co-Marketing Strategy & Execution

• Develop joint value propositions, messaging frameworks, and positioning that articulate how CData enables AI applications to access enterprise data sources
• Serve as the primary marketing point of contact for partner initiatives, owning the narrative and go-to-market positioning for each strategic partnership
• Design and execute co-marketing campaigns with AI partners, including joint webinars, content collaborations, and event participation
• Develop partner-specific marketing plans with clear goals, timelines, and success metrics
• Coordinate cross-functional teams to deliver integrated marketing programs
• Create compelling messaging and positioning for AI use cases that leverage CData connectivity solutions

Content & Thought Leadership

• Partner 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 guides
• Represent CData at AI-focused industry events, conferences, and partner summits
• Build thought leadership around data connectivity for AI applications through speaking engagements and content creation

Cross-Functional Collaboration

• Partner with Product Management to ensure AI-related features align with ecosystem needs and partner feedback
• Collaborate with Developer Relations to create technical resources for AI developers
• Coordinate with Demand Generation to integrate partner campaigns into broader marketing initiatives
• Provide market intelligence to leadership on AI ecosystem trends and partnership opportunities

Qualifications

Must Haves:

• 5+ years of experience in B2B technology marketing, partner marketing, or ecosystem marketing
• Proven experience in partner identification, prospecting, and relationship building within technology ecosystems
• Strong research and analytical skills with ability to map complex partner landscapes
• Demonstrated success in outreach campaigns and establishing new partnerships from the ground up
• Strong understanding of AI/ML technologies, LLMs, and how data connectivity enables AI applications
• Experience developing and executing co-marketing programs with technology partners
• Excellent communication and presentation skills with ability to engage technical and business audiences
• Experience creating technical marketing content for developer and IT decision-maker audiences
• Self-starter with strong project management skills and ability to drive initiatives independently
• Comfortable operating autonomously in a fast-paced, high-growth environment

Nice to Haves:

• Experience mapping and analyzing technology ecosystems and competitive landscapes
• Proven track record of cold outreach and building relationships with executive stakeholders
• Experience in data integration, APIs, or connectivity solutions
• Technical background or experience working closely with engineering teams
• Existing relationships within the AI ecosystem (OpenAI, Anthropic, Google AI, Microsoft, AWS, etc.)
• Experience with developer marketing or DevRel programs
• Understanding of enterprise software buying processes and IT infrastructure

Travel Required: Occasional travel for partner meetings, industry events, and team collaboration (estimated 10–15%)