Senior Manager Software Engineering

Are you a technology leader who thrives at the intersection of innovation, operational excellence, and AI-driven engineering? We are seeking a Senior Manager, Software Engineering to lead high-performing teams responsible for mission-critical, data-intensive platforms in a complex and highly regulated environment. In this role, you will empower engineers and technical leads to deliver scalable, resilient solutions while leveraging AI as a core component of the software development lifecycle. The ideal candidate is a force-multiplier leader who can translate ambiguity into clear direction, balance platform stability with delivery velocity, and foster a culture of accountability, autonomy, and continuous improvement across engineering, DevOps, product, and compliance teams. Required Experience 8–12+ years in software engineering or systems development 5+ years leading complex delivery through other engineers (formal or informal leadership) Proven track record leading engineering teams that have fully leveraged AI tools (Copilot, Cursor, Claude, Kiro, etc.) as a first-class part of SDLC, with demonstrated productivity gains in code generation, code review, and testing Hands-on experience with large, high-transaction data systems, including RDBMS-centric architectures (Oracle strongly preferred) Proven exposure to: Production change control Incident response Data integrity and operational risk Experience operating in regulated or audit-bound environments (SOC 2-like rigor is a strong positive) Nice To Have Insurance, fintech, or government-adjacent systems Cloud + legacy hybrid environments Transitioning teams through role ambiguity and operating-model change Prior responsibility spanning engineering + DevOps + platform operations Technical Skills Experience designing systems that fully exploit the benefits of AI, leveraging agentic workflows, AI orchestration, prompt and context engineering, RAG, and MCP Evaluate architectural tradeoffs objectively Ask the right technical questions of tech leads Understand database-centric performance and scalability drivers Participate meaningfully in risk, incident, and readiness discussions Leadership Skills Actively hires and upskills talent to thrive in the rapidly evolving AI landscape, normalizing AI-assisted development as a baseline expectation Creates autonomy through clarity, not control Exercises strong judgment in delegation, intentionally deciding when to lead, when to empower, and when to step in Is comfortable with tech leads owning design and implementation while providing constraints, risk signals, and organizational context Can operate calmly when: Expectations are misaligned Authority boundaries are shifting Organizational memory is inconsistent Actively coach and develop senior engineers Recognize burnout and sustainability risks early Be able to "manage up" without becoming adversarial Communicate candidly but with emotional intelligence Operational Excellence The candidate must excel at: Turning ambiguity into minimal, visible operating guideposts Maintaining forward motion when priorities compete Balancing long-term platform health against short-term delivery pressure Coordinating across product, DevOps, security, and compliance without creating friction #LI-LM03 #LI-Remote