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. 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. SeniorEngineering Manager Job Summary Lead engineering teamsbuildingAI-powered data connectivitysolutionsonCDataConnect AI.In this role, you will combine strongpeopleleadership, technical judgment, and execution to help engineering teamsdeliver high-quality software quickly and effectively. Asa SeniorEngineering Manager, you willprovide leadership to engineering teams, owning execution and delivery while helpingestablishthe operating practices, technical direction, and organizational clarity needed for teams to perform effectively. You will ensureprioritiesareclear, work moves forward, dependencies and blockers are addressed, and commitmentsremainon track while partnering with Engineering and Product leadership on capacity, priorities, risks, and longer-term planning. 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 loweringthetechnical qualitybar. You will balance this execution with strongpeopleleadership, 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 ensuringthe engineeringteam's workremainsaligned with broaderProduct andEngineering 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 accountabilityand innovation. Developseniorengineers,technical owners, and emerging leaders, increasing the leadership capacity within the organization. Empower senior engineers and technical ownersto take ownership of initiatives, rapidly prototype andvalidatesolutions, make sound technical decisions, and drive work from discovery through implementation. Hire, onboard,retain,anddevelopstrong engineering talent whileidentifyingcapability gaps and partnering with Engineering leadership on organizational and workforce needs. Partner with Engineering leadership on team structure, capacity planning, resource allocation, and talent development across the organization. Execution and Delivery Own execution and deliveryacross assigned engineering teams or a broader engineering area,ensuring priorities, ownership, dependencies, risks, and commitments are clearly understood and actively managed. Continuously improve operating practices that enable predictable delivery,appropriate accountability, and visibility across teams without creating unnecessary process overhead. Ensure effective team-level operatingrhythms, including planning, backlog readiness, delivery tracking, and blocker resolution, while developing leaders within teams who can increasingly drive day-to-day execution. Identifyand resolve cross-team dependencies and systemicdelivery issues, partnering with other Engineering leaders and Product leaders when challenges extend beyond the immediate team. Use streamlined workflows, automated reporting, and meaningful engineering and delivery metrics toidentifytrends, improve execution, and inform decisions. Communicate progress, risks, challenges, resource needs, and delivery outcomes clearly and proactively to Engineering leadership and other stakeholders. Technical Leadership Providestrongtechnical leadership and judgmentacross teams,ensuring eng