Top Remote Senior Level Jobs in Wichita, KS

Lead Capital Markets product development by partnering with business lines, coordinating cross-functional launches, educating investors, negotiating term sheets, modeling product economics, and ensuring scalable infrastructure and reporting. Manage investor pipelines, validate readiness for regulatory and investor reporting, oversee execution and post-launch performance, and build repeatable frameworks to streamline future product development.

Lead strategy and execution for Atticus.com to drive organic and AI search traffic, own homepage and landing pages, brief and commission SEO-driven content, optimize conversion funnels with A/B testing, partner with growth, product, and vertical teams to tailor site experiences, and ensure long-term engagement of prospective clients until they convert.

Manage strategic bank, credit union, and fintech accounts to drive adoption, onboarding, and product-driven fraud mitigation. Provide consultative guidance, set business goals, run trainings, share performance data, collaborate cross-functionally, support renewals, and travel to clients as needed.

Manage relationships for enterprise bank, credit union, and fintech clients. Onboard customers, provide dashboard training, establish business goals, share performance insights, drive renewals, and consult on fraud solutions. Collaborate cross-functionally with Sales, Data Science, Product, and Engineering to maximize customer success and adoption.

Design, build, and maintain high-throughput data ingestion and processing pipelines; integrate AI-powered infrastructure; implement and support complex computing algorithms and distributed services; own systems end-to-end including architecture, observability, reliability, and operational support; lead architectural initiatives and reduce system complexity while maintaining performance on large-scale real-time data.

Own production health and performance for AI-enabled claims products across Disability & Leave. Monitor SLAs and UX, lead incident triage and RCA, prioritize fixes with engineering and operations, drive systemic improvements, and oversee FINEOS/Catalyst integration and optimization.

Lead technical strategy and delivery for backend marketplace/search systems. Collaborate with PM, design, and analytics; own operational reliability, monitoring, on-call, testing, and runbooks; set code/design standards; drive major feature delivery and deprecations; mentor and develop engineering talent.

Lead engineering of an AI-native finance automation platform: design LLM-based agents and multi-agent orchestration, integrate with NetSuite/Workday/Anaplan, ensure SOX-compliant traceability and human-in-the-loop controls, and partner with FP&A/Treasury to translate spreadsheet workflows into production systems.

Design and deliver LLM-powered, agentic AI systems to automate customer support and compliance. Build scalable, secure backend infrastructure in Python and Go, integrate third-party models/APIs, implement grounding and guardrails, and measure performance. Lead end-to-end projects, mentor engineers, conduct code reviews, and participate in on-call and incident response to improve resolution times and reduce operational costs.

Lead intake, roadmap, and governance for an AI automation/platform team. Harden and ship business-built AI apps to production with secure GCP platforms, define acceptance criteria and responsible-AI gates, manage vendor buy-vs-build decisions, drive adoption, measure outcomes, and manage AI economics and stakeholder communication.

Lead a global campaign operations team to execute multi-channel digital marketing campaigns. Build scalable processes, enablement, and automation; partner on marketing systems, leverage AI to improve workflows, and track campaign KPIs to drive optimization and performance.

Transform data into actionable insights by building dashboards, reports, and visualizations. Partner with cross-functional teams and data engineering to ensure data quality, lineage, and AI-ready metadata. Audit datasets, define monitoring rules, document data dictionaries, pilot AI-assisted BI tools, and apply hypothesis-driven analysis to surface insights that inform business decisions.