Senior Manager Software Engineering

hackajob is collaborating with Verisk to connect them with exceptional professionals for this role.

Description

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.

Responsibilities

They are a force-multiplier development manager who:

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

Required Experience

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• 8–12+ years in software engineering or systems development
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• 5+ years leading complex delivery through other engineers (formal or informal leadership)
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• 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
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• Hands-on experience with large, high-transaction data systems, including RDBMS-centric architectures (Oracle strongly preferred)
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• Proven exposure to: \n
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  • Production change control
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  • Incident response
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  • Data integrity and operational risk
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• Experience operating in regulated or audit-bound environments (SOC 2-like rigor is a strong positive)
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Nice To Have

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• Insurance, fintech, or government-adjacent systems
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• Cloud + legacy hybrid environments
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• Transitioning teams through role ambiguity and operating-model change
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• Prior responsibility spanning engineering + DevOps + platform operations
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Technical Skills

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• Experience designing systems that fully exploit the benefits of AI, leveraging agentic workflows, AI orchestration, prompt and context engineering, RAG, and MCP
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• Evaluate architectural tradeoffs objectively
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• Ask the right technical questions of tech leads
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• Understand database-centric performance and scalability drivers
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• Participate meaningfully in risk, incident, and readiness discussions
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Leadership Skills

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• Actively hires and upskills talent to thrive in the rapidly evolving AI landscape, normalizing AI-assisted development as a baseline expectation
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• Creates autonomy through clarity, not control
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• Exercises strong judgment in delegation, intentionally deciding when to lead, when to empower, and when to step in
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• Is comfortable with tech leads owning design and implementation while providing constraints, risk signals, and organizational context
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• Can operate calmly when: \n
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  • Expectations are misaligned
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  • Authority boundaries are shifting
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  • Organizational memory is inconsistent
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• Actively coach and develop senior engineers
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• Recognize burnout and sustainability risks early
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• Be able to "manage up" without becoming adversarial
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• Communicate candidly but with emotional intelligence
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Operational Excellence

The candidate must excel at:

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• Turning ambiguity into minimal, visible operating guideposts
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• Maintaining forward motion when priorities compete
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• Balancing long-term platform health against short-term delivery pressure
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• Coordinating across product, DevOps, security, and compliance without creating friction
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