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Job description
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:
* 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
Qualifications
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
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.