Senior Manager Software Engineering

Archer 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 SDLCStabilizes and scales complex, compliance-sensitive platformsEnables strong tech lead autonomy without losing accountabilityTranslates ambiguous organizational intent into clear guardrails, priorities, and operating normsDrives delivery across product, engineering, DevOps, and compliance Qualifications Required Experience 8–12+ years in software engineering or systems development5+ 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 testingHands-on experience with large, high-transaction data systems, including RDBMS-centric architectures (Oracle strongly preferred)Proven exposure to:Production change controlIncident responseData integrity and operational riskExperience operating in regulated or audit-bound environments (SOC 2-like rigor is a strong positive) Nice To Have Insurance, fintech, or government-adjacent systemsCloud + legacy hybrid environmentsTransitioning teams through role ambiguity and operating-model changePrior 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 MCPEvaluate architectural tradeoffs objectivelyAsk the right technical questions of tech leadsUnderstand database-centric performance and scalability driversParticipate 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 expectationCreates autonomy through clarity, not controlExercises strong judgment in delegation, intentionally deciding when to lead, when to empower, and when to step inIs comfortable with tech leads owning design and implementation while providing constraints, risk signals, and organizational contextCan operate calmly when:Expectations are misalignedAuthority boundaries are shiftingOrganizational memory is inconsistentActively coach and develop senior engineersRecognize burnout and sustainability risks earlyBe able to "manage up" without becoming adversarialCommunicate candidly but with emotional intelligence Operational Excellence The Candidate Must Excel At Turning ambiguity into minimal, visible operating guidepostsMaintaining forward motion when priorities competeBalancing long-term platform health against short-term delivery pressureCoordinating across product, DevOps, security, and compliance without creating friction