Verisk
From Verisk's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
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.
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.
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)
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
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
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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