
5001 - 10000 employees
Founded 1971
💰 $500M Post-IPO Debt on 2023-03
Insurance • Data Analytics • Risk Management
Verisk is a company that specializes in providing advanced data analytics, technology, and scientific research to the global insurance industry. It delivers solutions across various insurance sectors such as Property & Casualty, Life and Annuities, Reinsurance, and Specialty Markets, helping clients to assess and price risks with speed and precision. Verisk's offerings include underwriting and rating support, claims management, compliance, catastrophe risk modeling, and insights into extreme event risks. Additionally, Verisk serves other industries such as construction, real estate, and transportation by offering data-driven insights and solutions for risk assessment and business optimization, while also contributing to sustainability and resilience initiatives through its research and analytics.
🔥 0 minutes ago
🤠 Texas – Remote
💵 $120k - $145k / year
⏰ Full Time
🟠 Senior
👮♀️ Software Engineering Manager
🦅 H1B Visa Sponsor
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5001 - 10000 employees
Founded 1971
💰 $500M Post-IPO Debt on 2023-03
Insurance • Data Analytics • Risk Management
Verisk is a company that specializes in providing advanced data analytics, technology, and scientific research to the global insurance industry. It delivers solutions across various insurance sectors such as Property & Casualty, Life and Annuities, Reinsurance, and Specialty Markets, helping clients to assess and price risks with speed and precision. Verisk's offerings include underwriting and rating support, claims management, compliance, catastrophe risk modeling, and insights into extreme event risks. Additionally, Verisk serves other industries such as construction, real estate, and transportation by offering data-driven insights and solutions for risk assessment and business optimization, while also contributing to sustainability and resilience initiatives through its research and analytics.
• 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
• 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
• Health Insurance • Retirement Plan • Disability benefits • Paid Time Off
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