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