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Verisk

Senior Manager, Software Engineering

Verisk

Senior Manager of Software Engineering at Verisk. Leading high-performing teams delivering scalable AI-driven solutions in a regulated environment.

Posted 7/1/2026full-timeRemote • Texas • 🇺🇸 United StatesSenior💰 $120,000 - $145,000 per yearWebsite

Tech Stack

Tools & technologies
CloudOracleRDBMSSDLC

About the role

Key responsibilities & impact
  • Lead high-performing teams responsible for mission-critical, data-intensive platforms
  • Empower engineers and technical leads to deliver scalable, resilient solutions
  • Leverage AI as a core component of the software development lifecycle
  • Balance platform stability with delivery velocity
  • Foster a culture of accountability, autonomy, and continuous improvement across engineering, DevOps, product, and compliance teams

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • Health Insurance
  • Retirement Plan
  • Disability benefits
  • Paid Time Off

ATS Keywords

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Hard Skills & Tools
Software EngineeringSystems DevelopmentAI OrchestrationDatabase-Centric PerformanceArchitectural TradeoffsIncident ResponseProduction Change ControlData IntegrityCode GenerationCode Review
Soft Skills
Emotional IntelligenceCoaching and DevelopmentDelegation JudgmentCommunicationConflict Management