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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

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in leading engineering teams to leverage AI tools effectively within the software development lifecycle, while ensuring platform stability and delivery velocity. Capable of fostering a culture of accountability and continuous improvement across diverse technical teams in regulated environments.

Highest-signal resume keywords
AI Tools UtilizationLeadership in Engineering TeamsRDBMS-Centric ArchitecturesOperational Risk ManagementCloud + Legacy Hybrid Environments

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringSystems DevelopmentAI OrchestrationDatabase-Centric PerformanceArchitectural TradeoffsIncident ResponseProduction Change ControlData IntegrityCode GenerationCode Review
Soft Skills
Emotional IntelligenceCoaching and DevelopmentDelegation JudgmentCommunicationConflict Management
Tools & Technologies
OracleAI Tools (Copilot, Cursor, Claude, Kiro)DevOpsAgile MethodologiesRisk Management Frameworks
Industry Keywords
FintechInsuranceGovernment-Adjacent SystemsSOC 2 ComplianceOperational Excellence

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