Senior Engineering Manager

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.

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.
Senior Engineering Manager
Job Summary
Lead engineering teams building AI-powered data connectivity solutions on CData Connect AI. In this role, you will combine strong people leadership, technical judgment, and execution to help engineering teams deliver high-quality software quickly and effectively.
You will also help foster a shift-left engineering model in which engineers engage earlier in discovery and solution definition. Rather than simply executing against fully prescribed requirements, engineers will partner with Product and other stakeholders to understand customer and business problems, shape technical solutions, and translate those solutions into actionable technical work. AI is used throughout the process, both in the product we ship and in how we build it, to support solution exploration, planning, and development without lowering the technical quality bar.
You will balance this execution with strong people leadership, developing engineers through regular feedback, coaching, career development, and clear performance expectations. You will create an environment of accountability, autonomy, collaboration, and continuous learning while ensuring the engineering team's work remains aligned with broader Product and Engineering priorities.

Location(s): Remote, U.S. / North Carolina Research Triangle or East Coast (preferred)
Eligibility
:
Applicants must be US-based and legally authorized to work in the United States without the need for employer sponsorship, now or in the future.
Key Duties & Responsibilities
Responsibilities include but are not limited to:
People Leadership

• Lead and develop engineering teams, providing regular coaching, feedback, and performance management while fostering a culture of accountability and innovation.
• Develop senior engineers, technical owners, and emerging leaders, increasing the leadership capacity within the organization.
• Empower senior engineers and technical owners to take ownership of initiatives, rapidly prototype and validate solutions, make sound technical decisions, and drive work from discovery through implementation.
• Hire, onboard, retain, and develop strong engineering talent while identifying capability gaps and partnering with Engineering leadership on organizational and workforce needs.
• Partner with Engineering leadership on team structure, capacity planning, resource allocation, and…