Job DescriptionAre 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.
ResponsibilitiesThey 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
QualificationsRequired 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 ExcellenceThe 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
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