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. Backed by Accel.
About the role
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.
What they're looking for
- 8+ years of software engineering experience, including hands-on experience in enterprise or SaaS environments with a strong focus on technical competency and innovation
- 4+ years of engineering management and/or people management experience with demonstrated success leading, coaching, and developing engineering teams
- Experience leading multiple engineering teams or initiatives spanning multiple engineering teams and stakeholders
- Proven ownership of team execution and delivery, including planning, prioritization, dependency management, risk identification, and continuous improvement of development workflows
- Experience partnering with senior Engineering and Product leadership on organizational priorities, resource needs, technical tradeoffs, and execution strategy
- Experience owning production services, including on-call, SLOs, incident response, and postmortems
More about this role
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.
As a Senior Engineering Manager, you will provide leadership to engineering teams, owning execution and delivery while helping establish the operating practices, technical direction, and organizational clarity needed for teams to perform effectively. You will ensure priorities are clear, work moves forward, dependencies and blockers are addressed, and commitments remain on 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...
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