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Lead Product Marketing Manager, Connect AI Embedded

Job in Chapel Hill, Orange County, North Carolina, 27517, USA
Listing for: CData Software
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    AI Engineer, Data Security
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

About CData Software, Inc.

At CData, we believe data should work for people—and that starts with the team building the technology behind it. In a world where data is increasingly complex and distributed, we’re helping organizations bring clarity and connection through real‑time data integration. Our products make it easier to access and work with data anywhere, empowering teams to focus on innovation instead of infrastructure.

More than 10,000 organizations worldwide rely on CData to power their most important business decisions. 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.

Our

AI Promise

As we look ahead, AI has become a central pillar of what we do. CData is evolving to be AI‑native: we’re embedding advanced AI tools into our platform, including semantic layers that let the business side and technical side speak the same language, AI connectivity that enables real‑time access to data from across your enterprise, and user‑friendly, governed ways for teams to ask and act on business questions with conversational tools and intelligent agents.

If you want to work somewhere where your engineering, data, or product work directly enables organizations to turn ambiguous, siloed data into trusted intelligence—and where AI is not just hype, but deeply woven into our mission—CData is the place for you.

About

The Role

CData is the real‑time data connectivity company powering the world’s leading software platforms. Connect AI Embedded and our embedded connectors provide governed, SQL‑based access to 350+ enterprise data sources—delivered as white‑labeled, enterprise‑grade components inside our ISV customers’ products. Every fast‑scaling AI‑forward SaaS platform and enterprise ISV now feels pressure to deliver agents, analytics, and automation that rely on direct access to customer data.

But building and maintaining connectivity drains precious engineering time and creates ongoing reliability and security risks. We’re looking for a Lead Product Marketing Manager who can translate deep technical capabilities into clear, differentiated value for product leaders, engineering VPs who expect substance, accuracy, and credibility.

You will help develop and execute an end‑to‑end product marketing strategy for the Embedded portfolio, serving as a strategic partner to product, sales, and marketing leadership. You’ll shape GTM direction, refine competitive positioning, and create the content and enablement that helps technical buyers say yes in sales‑led motions.

What You'll Do GTM Strategy & Market Development
  • Develop positioning of Embedded offerings across ISV use cases—analytics, copilots/AI features, workflow/automation, and data ingestion.
  • Define competitive strategy against build‑in‑house, unified API providers, and embedded iPaaS grounded in technical accuracy.
  • Help lead market development for embedded connectivity in the AI era, reinforcing CData as the standard for enterprise‑grade embedded data access.
  • Partner cross‑functionally to define and execute quarterly and annual GTM strategies, owning growth performance for the embedded market.
  • Overhaul and uplift embedded GTM presence (collateral, sales enablement tools, website) with exciting new AI‑oriented visual identity and brand voice (in process, Q’1‑2 timing).
Buyer & Sales Collateral
  • Create technical content that meets the expectations of engineering evaluators—architecture guides, implementation patterns, integration reference docs, and security explanations.
  • Build clear value narratives around the core pillars of Embedded:
    Connectivity (350+ enterprise sources), Context (feature‑complete coverage), and Control (resilience to API changes, security, high‑volume workloads).
  • Serve as the subject‑matter expert for embedded products, equipping sales, customer success, and marketing with technical…
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