Top Remote Jobs in Madison, WI

Leads claims vendor management across managed care, legal, investigative, support, and technology vendors. Develops vendor strategies, manages relationships, oversees performance and billing compliance, runs RFPs, negotiates contracts, identifies cost savings, and supports vendor portfolio optimization. Collaborates with Claims, Legal, Finance, Procurement, Compliance, and Operations teams to improve vendor performance, manage costs, and ensure contractual and billing compliance.

Manage a portfolio of clients as a strategic advisor, driving retention, renewals, expansion, platform adoption, and revenue growth. Develop data-driven email, SMS, lifecycle, and omnichannel marketing strategies; lead QBRs; coordinate cross-functional delivery; educate clients on platform capabilities; and oversee billing, budgeting, forecasting, and issue resolution.

Manage general litigation and legal risk across the business. Responsibilities include assessing lawsuits and legal threats, developing response strategies, drafting and reviewing court filings, guiding outside counsel, negotiating dispute resolutions, representing the company in small claims court, responding to regulatory inquiries, and advising internal stakeholders on emerging legal issues.

As the Director of Data Science, you'll mentor teams, oversee projects, drive data-driven decisions, and implement AI and ML solutions while enhancing our data pipeline.

Lead enterprise implementations of TigerConnect healthcare software from initiation through closure. Responsibilities include software configuration, stakeholder and resource management, risk and budget oversight, organizational change management, user training, executive reporting, customer onboarding, quality assurance, and process improvement. Collaborate with product, engineering, solution design, and clinical teams while ensuring projects meet scope, schedule, budget, customer value, and ROI objectives.

Build and maintain cloud-native infrastructure, automate manual operations, develop Terraform modules and Helm charts, manage Kubernetes and service mesh configurations, monitor GCP databases and services, improve observability, maintain CI/CD pipelines, and use AI coding agents to enhance infrastructure development. Collaborate with engineering teams on instrumentation, architecture, capacity planning, scalability, reliability, security, and developer experience.

Own full-cycle, net-new enterprise sales for the MapQuest mapping platform. Build outbound pipeline across targeted verticals, sell location APIs and SDKs to technical executives, manage technical evaluations and proofs of concept, negotiate enterprise contracts, and close multi-year deals. Partner with Solutions Architecture, procurement, product, and company leadership while providing market feedback. This is a remote individual-contributor role with prospect and event travel.

Manages high-risk, complex customer escalations from initial contact through resolution across phone, chat, and email. Evaluates customer, legal, financial, operational, and reputational risks; prepares executive and regulatory communications; coordinates with Legal, Finance, and cross-functional teams; and exercises independent judgment on exceptions and reimbursements. Identifies root causes, recurring trends, and process improvements while using AI tools to improve resolution efficiency and customer retention.

Lead the technical direction, architecture, and development of Compass, an LLM-powered agent platform. Design multi-agent systems, MCP and A2A integrations, orchestration, evaluation, and observability infrastructure. Drive cross-team technical projects, production support, engineering quality, mentoring, and adoption of AI-assisted development practices. Partner with Product, QA, Design, Operations, and Engineering stakeholders to deliver reliable agentic systems.

Own and expand a portfolio of 15–25 enterprise accounts, generating approximately $1.2M in annual expansion quota. Prospect within existing customers, identify new departments and use cases, build executive relationships, run business and quarterly reviews, and close complex 6–12 month enterprise deals. Partner with sales engineers, customer success, and leadership while creating account plans, developing pipeline, and presenting Monte Carlo’s data and AI reliability platform to technical and executive buyers.