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. They are a force-multiplier development manager who: - Leads engineering teams that have fully embraced AI tooling as a first-class part of the SDLC - Stabilizes and scales complex, compliance-sensitive platforms - Enables strong tech lead autonomy without losing accountability - Translates ambiguous organizational intent into clear guardrails, priorities, and operating norms - Drives delivery across product, engineering, DevOps, and compliance 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