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 ...