Lead Product Marketing Manager, Connect AI

CData Software•Chapel Hill, NC

About The Position

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.

Requirements

7+ years of product marketing experience in data infrastructure, developer tools, embedded technologies, or software connectivity platforms.
Demonstrated success marketing to technical buyers—architects, engineering leads, platform teams.
Ability to produce technically credible content (architecture, security, integration guides).
Familiarity with connectors, APIs, authentication, SQL-based interfaces (ODBC/JDBC/ADO.NET), and SaaS data landscapes.
Experience supporting complex multi-persona buying processes involving engineering evaluators and product leadership.
Strong competitive positioning skills centered on clarity and factual accuracy.
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 multi-stream initiatives.

Nice To Haves

Experience marketing to enterprise ISVs (50–10,000+ employees) or fast-growth SaaS companies.
Background in or exposure to data integration and connectivity technologies (e.g., Snowflake, Databricks, REST APIs, JDBC/ODBC).
Cross-functional leadership and influence skills across product and engineering teams.

Responsibilities

Develop positioning of Embedded offerngs 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).
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 messaging and differentiation.
Lead customer, market, and buyer research to inform messaging for both Tier 1 enterprise ISVs and Tier 2 high-growth SaaS teams.
Translate customer feedback and competitive insights into roadmap input—especially around coverage gaps, performance expectations, and feature needs.
Partner with product on launches for new products, features, security enhancements, and developer-tooling improvements (packaging, configuration experiences, metadata discovery, authentication flows, and test-environment support).
Plan and execute complex marketing programs end-to-end, including product-wide release cycles and major embedded GTM programs.
Stay current on ISV, SaaS, and AI platform trends—especially how ISVs are embedding copilots, agents, and analytics that depend on deep connectivity.
Conduct first-party research with prospects, and embedded customers to refine narrative and validate value propositions.
Monitor competitive activity (unified API and embedded iPaaS providers) and develop counter-strategy position frameworks.
Track and analyze business performance metrics related to embedded engagement, opportunity development, and pipeline health.
Adopt AI tools to improve productivity and help pilot AI-driven processes across the marketing organization.
Provide mentorship to other PMMs to raise team-wide technical and strategic capability.